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Life expectancy

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study was restricted to data in Western Europe alone, where the demographic transition occurred relatively early. United Nations statistics from mid-twentieth century onward, show that in all parts of the world, females have a higher life expectancy at age 60 than males. Of 72 selected causes of death, only 6 yielded greater female than male age-adjusted death rates in 1998 in the United States. Except for birds, for almost all of the animal species studied, males have higher mortality than females. Evidence suggests that the sex mortality differential in people is due to both biological/genetic and environmental/behavioral risk and protective factors.
1344: 436: 428: 374: 320: 236: 122: 1050:, the life expectancy of children increased dramatically. Recorded deaths among children under the age of 5 years fell in London from 74.5% of the recorded births in 1730–49 to 31.8% in 1810–29, though this overstates mortality and its fall because of net immigration (hence more dying in the metropolis than were born there) and incomplete registration (particularly of births, and especially in the earlier period). English life expectancy at birth reached 41 years in the 1840s, 43 in the 1870s and 46 in the 1890s, though infant mortality remained at around 150 per thousand throughout this period. 1054: 2943: 522:, plagues, wars, and childbirth, before modern medicine was widely available, significantly lowers LEB. For example, a society with a LEB of 40 would have relatively few people dying at exactly 40: most will die before 30 or after 55. In populations with high infant mortality rates, LEB is highly sensitive to the rate of death in the first few years of life. Because of this sensitivity, LEB can be grossly misinterpreted, leading to the belief that a population with a low LEB would have a small proportion of older people. A different measure, such as life expectancy at age 5 (e 111: 1130: 1356: 412: 130: 1439: 420: 5108: 5401: 3000:
tenth of estimated ancient and medieval levels) that deaths in a later year of life (usually around age 80) become more numerous. While the most common age of death in adulthood among modern hunter-gatherers (often taken as a guide to the likely most favourable Paleolithic demographic experience) is estimated to average 72 years, the number dying at that age is dwarfed by those (over a fifth of all infants) dying in the first year of life, and only around a quarter usually survive to the higher age.
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have a higher survival rate. At the other extreme, about 90% of individuals aged 110 are female. The difference in life expectancy between men and women in the United States dropped from 7.8 years in 1979 to 5.3 years in 2005, with women expected to live to age 80.1 in 2005. Data from the United Kingdom shows the gap in life expectancy between men and women decreasing in later life. This may be attributable to the effects of infant mortality and young adult death rates.
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expected to live. Period life expectancy remains a commonly used statistic to summarize the current health status of a population. However, for some purposes, such as pensions calculations, it is usual to adjust the life table used by assuming that age-specific death rates will continue to decrease over the years, as they have usually done in the past. That is often done by simply extrapolating past trends, but some models exist to account for the evolution of mortality, like the
2780: 660:", which is the upper boundary of life, the maximum number of years any human is known to have lived. According to a study by biologists Bryan G. Hughes and Siegfried Hekimi, there is no evidence for limit on human lifespan. However, this view has been questioned on the basis of error patterns. A theoretical study shows that the maximum life expectancy at birth is limited by the human life characteristic value δ, which is around 104 years. 1672: 1494:). Men are also more likely to die from most of the leading causes of death (some already stated above) than women. Some of these in the United States include cancer of the respiratory system, motor vehicle accidents, suicide, cirrhosis of the liver, emphysema, prostate cancer, and coronary heart disease. These far outweigh the female mortality rate from breast cancer and cervical cancer. In the past, 1846: 53: 1758:
often translates to good cellular repair. One theory is that if predation or accidental deaths prevent most individuals from living to an old age, there will be less natural selection to increase the intrinsic life span. That finding was supported in a classic study of opossums by Austad; however, the opposite relationship was found in an equally prominent study of guppies by Reznick.
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age. Men may be more vulnerable to cardiovascular disease than women, but this susceptibility was evident only after deaths from other causes, such as infections, started to decline. Most of the difference in life expectancy between the sexes is accounted for by differences in the rate of death by cardiovascular diseases among persons aged 50–70.
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Life expectancy may be confused with the average age an adult could expect to live, creating the misunderstanding that an adult's lifespan would be unlikely to exceed their life expectancy at birth, even though having already avoided succumbing to childhood mortality, an adult will always outlive the
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The life expectancy statistic is usually based on past mortality experience and assumes that the same age-specific mortality rates will continue. Thus, such life expectancy figures need to be adjusted for temporal trends before calculating how long a currently living individual of a particular age is
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According to a paper from 2015, the mortality rate for the Caucasian population in the United States from 1993 to 2001 is four times higher for those who did not complete high school compared to those who have at least 16 years of education. In fact, within the U.S. adult population, people with less
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In developed countries, starting around 1880, death rates decreased faster among women, leading to differences in mortality rates between males and females. Before 1880, death rates were the same. In people born after 1900, the death rate of 50- to 70-year-old men was double that of women of the same
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Over the course of the century: Europe rose from ~33 to 43, the Americas from ~35 to 41, Oceania ~35 to 48, Asia ~28, Africa 26. In 1820s France, LEB was ~38, and for the 80% that survived, it rose to ~47. For Moscow serfs, LEB was ~34, and for the 66% that survived, it rose to ~36. Western Europe in
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when popular science writers falsely imply that the average adult human does not live longer than their ancestors. He writes, "ge-specific mortality rates have declined across the adult lifespan. A smaller fraction of adults die at 20, at 30, at 40, at 50, and so on across the lifespan. As a result,
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from which one can calculate the probability of surviving to each age. While the data required are easily identified in the case of humans, the computation of life expectancy of industrial products and wild animals involves more indirect techniques. The life expectancy and demography of wild animals
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can be created that allow the age-specific death rates to be simply taken as the mortality rates actually experienced at each age (the number of deaths divided by the number of years "exposed to risk" in each data cell). However, it is customary to apply smoothing to remove (as much as possible) the
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In developed countries, the number of centenarians is increasing at approximately 5.5% per year, which means doubling the centenarian population every 13 years, pushing it from some 455,000 in 2009 to 4.1 million in 2050. Japan is the country with the highest ratio of centenarians (347 for
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Some argue that shorter male life expectancy is merely another manifestation of the general rule, seen in all mammal species, that larger-sized individuals within a species tend, on average, to have shorter lives. This biological difference occurs because women have more resistance to infections and
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Economic circumstances also affect life expectancy. For example, in the United Kingdom, life expectancy in the wealthiest and richest areas is several years higher than in the poorest areas. This may reflect factors such as diet and lifestyle, as well as access to medical care. It may also reflect a
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writes, "as the human race increased its life span? Not at all. This is one of the biggest misconceptions about old age: we are not living any longer." The maximum life span, or oldest age a human can live, may be constant. Further, there are many examples of people living significantly longer than
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A further concept is that of modal age at death, the single age when deaths among a population are more numerous than at any other age. In all pre-modern societies the most common age at death is the first year of life: it is only as infant mortality falls below around 33-34 per thousand (roughly a
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At the beginning of the 19th century, no country in the world had a life expectancy at birth longer than 40 years, England, Belgium and the Netherlands came closest, each reaching 40 years by the 1840s (by which time they had been surpassed by Norway, Sweden and Denmark). India's life expectancy is
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Education on all levels has been shown to be strongly associated with increased life expectancy. This association may be due partly to higher income, which can lead to increased life expectancy. Despite the association, among identical twin pairs with different education levels, there is only weak
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In her extensive review of the existing literature, Kalben concluded that the fact that women live longer than men was observed at least as far back as 1750 and that, with relatively equal treatment, today males in all parts of the world experience greater mortality than females. However, Kalben's
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A paper from 2015 found that female foetuses have a higher mortality rate than male foetuses. This finding contradicts papers dating from 2002 and earlier that attribute the male sex to higher in-utero mortality rates. Among the smallest premature babies (those under 2 pounds (910 grams)), females
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Cities also experience a wide range of life expectancy based on neighborhood breakdowns. This is largely due to economic clustering and poverty conditions that tend to associate based on geographic location. Multi-generational poverty found in struggling neighborhoods also contributes. In American
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Life expectancy at age 1 reached 34-41 remaining years for the 67–75% surviving the first year. For the 55-65% surviving to age 5, remaining life expectancy reached around 40–45, while the ~50% reaching age 10 could expect another 40 years of life. Average remaining years fell to 33–39 at age 15;
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Aggregate population measures—such as the proportion of the population in various age groups—are also used alongside individual-based measures—such as formal life expectancy—when analyzing population structure and dynamics. Pre-modern societies had universally higher mortality rates and lower life
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As discussed above, on an individual basis, some factors correlate with longer life. Factors that are associated with variations in life expectancy include family history, marital status, economic status, physique, exercise, diet, drug use (including smoking and alcohol consumption), disposition,
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As a measure of the years of life remaining, life expectancy decreases with age after initially rising in early childhood, but the average age to which a person is likely to live increases as they survive to successive higher ages. In the table above, the estimated modern hunter-gatherer average
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Various species of plants and animals, including humans, have different lifespans. Evolutionary theory states that organisms which—by virtue of their defenses or lifestyle—live for long periods and avoid accidents, disease, predation, etc. are likely to have genes that code for slow aging, which
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In England in the 13th–19th centuries with life expectancy at birth rising from perhaps 25 years to over 40, expectation of life at age 30 has been estimated at 20–30 years, giving an average age at death of about 50-60 for those (a minority at the start of the period but two-thirds at its end)
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Around a third of infants died in their first year. Life expectancy at age 10 reached 32.2 remaining years, and for those who survived to 25, the remaining life expectancy was 23.3 years. Such estimates reflected the life expectancy of adult males from the higher ranks of English society in the
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Based on Athens Agora and Corinth data, life expectancy at age 15 would be 37–41 years. Most Greeks and Romans died young. About half of all children died before adolescence. Those who survived to the age of 30 had a reasonable chance of reaching 50 or 60. The truly elderly, however, were rare.
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and computing the life expectancy from the results with life table methods. This is usually more complex than simply forecasting life expectancy because the analyst must deal with correlated age-specific mortality rates, but it seems to be more robust than simple one-dimensional
2680:(all people born in the year 1850, for example), it can of course simply be calculated by averaging the ages at death. For cohorts with some survivors, it is estimated by using mortality experience in recent years. The estimates are called period cohort life expectancies. 1426:. This is one way that occupation can have a major effect on life expectancy. Coal miners (and in prior generations, asbestos cutters) often have lower life expectancies than average. Other factors affecting an individual's life expectancy are genetic disorders, drug use, 2486: 1266:
counterparts. For example, white Americans in 2010 are expected to live until age 78.9, but black Americans only until age 75.1. This 3.8-year gap, however, is the lowest it has been since 1975 at the latest, the greatest difference being 7.1 years in 1993. In contrast,
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Remaining years of life averaged ~45–47 for the 84% who survived the first year. Life expectancy fell to ~40 years at age 20, then ~20 years at age 50 and ~10 years at age 70. For a 15-year-old girl it was ~40–45. For the upper-class, LEB rose from ~45 to 50.
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on a set of transformed age-specific mortality rates to reduce their dimensionality to a single time series, forecasts that time series, and then recovers a full set of age-specific mortality rates from that forecasted value. The software includes Professor
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weeds out mitochondria that reduce female survival; therefore, such mitochondria are less likely to be passed on to the next generation. This thus suggests that females tend to live longer than males. The authors claim that this is a partial explanation.
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English life expectancy at birth averaged about 36 years in the 17th and 18th centuries, one of the highest levels in the world although infant and child mortality remained higher than in later periods. Life expectancy was under 25 years in the early
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we live longer on average... In every way we can measure, human lifespans are longer today than in the immediate past, and longer today than they were 2000 years ago... age-specific mortality rates in adults really have reduced substantially."
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667 centenarians per 1 million inhabitants in September 2010, had been for a long time the Japanese prefecture with the largest ratio of centenarians, partly because it also had the largest loss of young and middle-aged population during the
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systems). With longer life expectancies, the systems see increased cash outflow; if the systems underestimate increases in life-expectancies, they will be unprepared for the large payments that will occur, as humans live longer and longer.
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led in the 2010s to a more promising focus on increasing HALE, also known as a person's "healthspan". Besides the benefits of keeping people healthier longer, a goal is to reduce health-care expenses on the many diseases associated with
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The mentally ill have been shown to have a 10- to 25-year reduction in life expectancy. Generally, the reduction of lifespan in the mentally ill population compared to the mentally stable population has been studied and documented.
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are not synonymous. Longevity refers to the relatively long lifespan of some members of a population. Maximum lifespan is the age at death for the longest-lived individual of a species. Mathematically, life expectancy is denoted
1765:. Caloric restriction observed in many animals (most notably mice and rats) shows a near doubling of life span from a very limited calorific intake. Support for the theory has been bolstered by several new studies linking lower 1622:
as a promising candidate for further research within the field. This study suggests that high levels of iron in the blood likely reduce, and genes involved in metabolising iron likely increase healthy years of life in humans.
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The age-specific death rates are calculated separately for separate groups of data that are believed to have different mortality rates (such as males and females, or smokers and non-smokers) and are then used to calculate a
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During the last 200 years, African countries have generally not had the same improvements in mortality rates that have been enjoyed by countries in Asia, Latin America, and Europe. This is most apparent by the impact of
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Preschool education also plays a large role in life expectancy. It was found that high-quality early-stage childhood education had positive effects on health. Researchers discovered this by analyzing the results of the
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Japan has the highest life expectancy in the world but the reasons says an analysis, are as much to do with equality and public health measures as diet.... According to a paper in a Lancet series on healthcare in
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are predicted to live just past their 73rd birthday. This is in large part due to poor health habits, such as heavy smoking and high alcoholism in the region, and environmental actors, such as high air pollution.
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expectation of life at birth of 33 years (often considered an upper-bound for Paleolithic populations) equates to a life expectancy at 15 of 39 years, so that those surviving to age 15 will on average die at 54.
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approaches. It also yields a set of age-specific rates that may be used to derive other measures, such as survival curves or life expectancies at different ages. The most important approach in this group is the
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A Gaulish boy surviving to age 20 might expect to live 25 more years, while a woman at age 20 could normally expect about 17 more years. Anyone who survived until 40 had a good chance of another 15 to 20 years.
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or other time-series extrapolation procedures. This has the advantage of simplicity, but it cannot account for changes in mortality at specific ages, and the forecast number cannot be used to derive other
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Data is lacking, but computer models provide the estimate. If a person survived to age 20, they could expect to live around 30 years more. Life expectancy was probably slightly longer for women than men.
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Expectation of life at birth 13–36 years for various Pre-Columbian Mesoamerican cultures, most of the results lying in the range 24–32 years. Aztec life expectancy 41.2 years for men and 42.1 for women.
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To assess the quality of these additional years of life, 'healthy life expectancy' has been calculated for the last 30 years. Since 2001, the World Health Organization has published statistics called
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Only half of the people born in the early 19th century made it past their 50th birthday. In contrast, 97% of the people born in 21st century England and Wales can expect to live longer than 50 years.
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The table above gives the life expectancy at birth among 13th-century English nobles as 30–33, but having surviving to the age of 21, a male member of the English aristocracy could expect to live:
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For most of the century it ranged from 35 to 40; but in the 1720s it dipped as low as 25. During the second half of the century it averaged 37, while for the elite it passed 40 and approached 50.
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and self-rated health in addition to healthspan, lifespan, and longevity also highlighted haem metabolism as an important pathway, and found genetic variants which lower blood protein levels of
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Middle Ages, and were similar to that computed for monks of the Christ Church in Canterbury during the 15th century. At age 21, life expectancy of an aristocrat was an additional 43 years.
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18th-century male life expectancy at birth was 34 years. Female expectation of remaining years at age 15 rose from ~33 years around the 15th-16th centuries to ~42 in the 18th century.
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which cannot protect an individual from harmful genes expressed on the X chromosome, while a duplicate X chromosome, as present in female organisms, can ensure harmful genes are not
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to test this correlation. In all, but two of these studies, lifespan correlated with DNA repair levels, suggesting that DNA repair capability contributes to life expectancy. See
1529:. According to this hypothesis, one reason for why the average lifespan of males is not as long as that of females––by 18% on average, according to the study––is that they have a 1743:, finding that the disadvantaged children who were randomly assigned to treatment had lower instances of risk factors for cardiovascular and metabolic diseases in their mid-30s. 1407:, and during recessions and depressions in general. The authors suggest that when people are working at a more extreme degree during prosperous economic times, they undergo more 4728:
Note: Author is clearly using the term "life expectancy" to mean total years, as is evident from the fact that a life expectancy of 79.2 is given for a 15 year old girl in 1989.
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derived from a larger population and making a simple adjustment to it (such as multiplying by a constant factor) to fit the data. (In cases of relatively small amounts of data.)
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Around 60 years in Europe, North America, Oceania, Japan, and parts of South America; but only 41 in Asia and 36 in Africa. Norway led with 72, while in Mali it was merely 26.
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A survival tree to explain the calculations of life-expectancy. Red numbers indicate a chance of survival at a specific age, and blue ones indicate age-specific death rates.
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The annual number of "missing Americans" has been increasing, with 622,534 in 2019 alone. Most excess deaths in the United States can largely be attributed to increasing
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With modern hunter-gatherer populations' estimated average life expectancy at birth of 33 years, life expectancy for the 60% reaching age 15 averages 39 remaining years.
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Disparities in life expectancy are often cited as demonstrating the need for better medical care or increased social support. A strongly associated indirect measure is
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have about a 50% life expectancy of 3–10 years. Other demographics that tend to have a lower life expectancy than average include transplant recipients and the obese.
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mutations which shorten lifespan continue to be expressed in males (but less so in females) because mitochondria are inherited only through the mother. By contrast,
567: 3307: 2285: 2196: 1360: 2003: 1901: 1454:). There are many potential reasons for this. Traditional arguments tend to favor sociology-environmental factors: historically, men have generally consumed more 8911: 8717: 6729:"Resident Population. National Population Estimates for the 2000s. Monthly Postcensal Resident Population, by single year of age, sex, race, and Hispanic Origin" 5454:. Vol. I: Comprehensive Tables. United Nations Secretariat, Department of Economic and Social Affairs, Population Division. 2003. p. 24. Archived from 5449: 5353:
Reduction in health inequalities with improved average population health was partly attributable to equal educational opportunities and financial access to care.
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can live so long. Studies of humans with life spans of at least 100 have shown a link to decreased thyroid activity, resulting in their lowered metabolic rate.
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Pink: Countries where female life expectancy at birth is higher than males. Blue: A few countries in southern Africa where females have shorter lives due to
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pandemic reversed the trend of steady gain in life expectancy at birth. The pandemic wiped out nearly a decade of progress in improving life expectancy.
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lifespan calculated from their birth. One may compare the life expectancy of the period after childhood to estimate also the life expectancy of an adult.
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Reznick DN, Bryant MJ, Roff D, Ghalambor CK, Ghalambor DE (October 2004). "Effect of extrinsic mortality on the evolution of senescence in guppies".
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The life expectancy of people with diabetes, which is 9.3% of the U.S. population, is reduced by roughly 10–20 years. People over 60 years old with
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observed at a given year. National LEB figures reported by national agencies and international organizations for human populations are estimates of
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of an area. It is also used for an individual when the value of a life settlement is determined a life insurance policy is sold for a cash asset.
9321: 9162: 3510:"Monowave and polywave light-curing of bulk-fill resin composites: degree of conversion and marginal adaptation following thermomechanical aging" 3158: 1660:
In the United States, the number of centenarians grew from 32,194 in 1980 to 71,944 in November 2010 (232 centenarians per million inhabitants).
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Massachusetts colonists who reached the age of 50 could expect to live until 71, and those who were still alive at 60 could expect to reach 75.
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Ricklefs RE, Cadena CD (October 2007). "Lifespan is unrelated to investment in reproduction in populations of mammals and birds in captivity".
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Click the sources tab under the chart for info on the countries, healthcare expenditures, and data sources. See the later version of the chart
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average, and one of the highest in the world. Japan's high life expectancy can largely be explained by their healthy diets, which are low on
491:(in this case, all individuals born in a given year) and can be computed only for cohorts born so long ago that all their members have died. 8899: 7517:"Association of a Prior Psychiatric Diagnosis With Mortality Among Hospitalized Patients With Coronavirus Disease 2019 (COVID-19) Infection" 9366: 9351: 9316: 9259: 9254: 9196: 6728: 1271:
women live the longest of all ethnic and gender groups in the United States, with a life expectancy of 85.8 years. The life expectancy of
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Around 48 years in Oceania, 43 in Europe, and 41 in the Americas. Around 47 in the U.S. and around 48 for 15-year-old girls in England.
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Ikeda N, Saito E, Kondo N, Inoue M, Ikeda S, Satoh T, et al. (September 2011). "What has made the population of Japan healthy?".
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selective effect: people with chronic life-threatening illnesses are less likely to become wealthy or to reside in affluent areas. In
656:, who is verified as having lived to age 122 years, 164 days, between 21 February 1875 and 4 August 1997. This is referred to as the " 9331: 9097: 7967:
Mitteldorf J, Pepper JW (August 2007). "How can evolutionary theory accommodate recent empirical results on organismal senescence?".
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and other sources, some with questionable accuracy. Unless otherwise stated, it represents estimates of the life expectancies of the
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and hover over a bubble to show its data. The square of the bubbles is proportional to country population based on estimation of the
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Laursen TM, Munk-Olsen T, Vestergaard M (March 2012). "Life expectancy and cardiovascular mortality in persons with schizophrenia".
6631:"Mendelian randomization of genetically independent aging phenotypes identifies LPA and VCAM1 as biological targets for human aging" 2604:
If the assumption is made that, on average, people live a half year on the year of their death, the complete life expectancy at age
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measures are credited with much of the recent increase in life expectancy. During the 20th century, despite a brief drop due to the
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1830 was ~33 years, while for the people of Hau-Lou in China, it was ~40. The LEB for a 10-year-old in Sweden rose from ~44 to ~54.
9409: 9301: 9296: 9233: 8532: 3322: 8585:"Has the relation between income inequality and life expectancy disappeared? Evidence from Italy and top industrialised countries" 8479: 3256:
Note the different units: a probability is unit-less, whereas a mortality rate has units (such as deaths per population per year).
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attributes the incredible lifespan in the region to low stress and a healthy diet of lean meats, diverse vegetables, and legumes.
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is a statistical measure of the estimate of the average remaining years of life at a given age. The most commonly used measure is
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random statistical fluctuations from one year of age to the next. In the past, a very simple model used for this purpose was the
2481:{\displaystyle e_{x}=\operatorname {E} =\sum _{k=0}^{\infty }k\,\cdot \Pr(K(x)=k)=\sum _{k=0}^{\infty }k\,\,_{k}p_{x}\,\,q_{x+k}} 2849:
results. Analyses and forecasts using this approach can be done with any common statistical/mathematical software package, like
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In a broad survey of zoo animals, no relationship was found between investment of the animal in reproduction and its life span.
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In July 2020, scientists identified 10 genomic loci with consistent effects across multiple lifespan-related traits, including
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In the present, female human life expectancy is greater than that of males, despite females having higher morbidity rates (see
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Angel JL (1984), "Health as a crucial factor in the changes from hunting to developed farming in the eastern Mediterranean",
3897: 3682: 3650: 3618: 3585: 3492: 9464: 9191: 8893:). Includes life expectancy for different age groups. Charts for all countries, world maps, and links to more data sources. 7378:"Fatalities associated with clozapine-related constipation and bowel obstruction: a literature review and two case reports" 5733: 3099: 1080: 8692: 5047: 8966: 6492:"Genomics of 1 million parent lifespans implicates novel pathways and common diseases and distinguishes survival chances" 6112: 3933: 2900: 608:
tables). The concept of life expectancy may also be used in the context of manufactured objects, though the related term
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One prominent and very popular theory states that lifespan can be lengthened by a tight budget for food energy called
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Graphs of life expectancy at birth for some sub-Saharan countries showing the fall in the 1990s primarily due to the
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There are great variations in life expectancy between different parts of the world, mostly caused by differences in
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Japan's recorded life expectancy may have been very slightly increased by counting many infant deaths as stillborn.
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conditions, or medication side effects. For instance, psychiatric medications can increase the risk of developing
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Naked Statues, Fat Gladiators, and War Elephants: Frequently Asked Questions about the Ancient Greeks and Romans
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Naeye RL, Burt LS, Wright DL, Blanc WA, Tatter D (December 1971). "Neonatal mortality, the male disadvantage".
3458: 2924: 1479: 17: 5287: 3914: 9542: 6657: 2776:". More and more countries are using health expectancy indicators to monitor the health of their population. 1572: 1189: 7772: 9469: 8897:
Global Agewatch has the latest internationally comparable statistics on life expectancy from 195 countries.
5423: 4563: 2891: 2710:
looking at the mortality rates actually experienced at each age and applying a piecewise model (such as by
1595:
live approximately one year less than average (per copy of the ε4 allele), mainly due to increased risk of
1419: 8329: 8210:"Correlation between deoxyribonucleic acid excision-repair and life-span in a number of mammalian species" 5627:"Why has Japan become the world's most long-lived country: insights from a food and nutrition perspective" 5611: 4944: 4913: 3006:
is an individual-specific concept, and therefore is an upper bound rather than an average. Science author
2724:
are often estimated by capturing, marking, and recapturing them. The life of a product, more often termed
1343: 8854:
How Did Cause of Death Contribute to Racial Differences in Life Expectancy in the United States in 2010?
9624: 9050: 8636:"Inequality in income and mortality in the United States: analysis of mortality and potential pathways" 6440:"Estimates of the Heritability of Human Longevity Are Substantially Inflated due to Assortative Mating" 6141: 4857:
We Were Not the Savages: A Micmac Perspective on the Collision of European and Aboriginal Civilizations
4660: 3069: 2772:
uses similar indicators in the framework of the national health promotion and disease prevention plan "
1825: 833: 613: 435: 6920:"Mortality in schizophrenia and other psychoses: a 10-year follow-up of the ӔSOP first-episode cohort" 6741:
Different figures, based on earlier assumptions (104,754 centenarians on Nov.1, 2009) are provided in
5090: 680: 9119: 9092: 9006: 1114: 443: 427: 115: 68: 5899: 1571:
which can influence the length of life and the number of years lived in good health. For example, a
114:
Life expectancy and healthy life expectancy in various countries of the world in 2019, according to
9619: 6794:"The global prevalence of common mental disorders: a systematic review and meta-analysis 1980-2013" 6190:
Samaras TT, Heigh GH. "How human size affects longevity and mortality from degenerative diseases".
5802: 2854: 1906: 1560: 41: 6275: 5776: 5610:. United States Department of Health and Human Services, Office of Minority Health. Archived from 5387: 2700:
fitting a mathematical formula (such as the Gompertz function, or an extension of it) to the data.
768:
Because so many died in childhood, life expectancy at birth was probably between 20 and 30 years.
688:
as a whole. In many instances, life expectancy varied considerably according to class and gender.
8959: 8896: 8526:"The Lee-Carter Method for Forecasting Mortality, with Various Extensions and Applications – SOA" 5855: 3698: 3634: 2917: 2684: 1451: 373: 319: 235: 31: 6736: 6604: 2287:—that is to say, the expected number of whole years of life remaining, assuming survival to age 121: 9593: 9511: 9494: 9489: 9033: 8924:
from the US Centers for Disease Controls and Prevention, National Center for Health Statistics.
6260: 4882: 2688: 2627: 2226: 1719: 1700: 1596: 1580: 1526: 1466:
than women in most societies, and are more likely to die from many associated diseases such as
1396: 1046:, and in seventeenth-century New England, about 40% died before reaching adulthood. During the 8779:
Gurven M, Kaplan H (2007), "Longevity Among Hunter- Gatherers: A Cross-Cultural Examination",
5900:"Annex Table 2: Deaths by cause, sex and mortality stratum in WHO regions, estimates for 2002" 4985: 4799: 4478: 4448: 4262: 4146: 9562: 9016: 7147: 6879:"Outcomes of Nordic mental health systems: life expectancy of patients with mental disorders" 6754: 5927:
Orzack SH, Stubblefield JW, Akmaev VR, Colls P, Munné S, Scholl T, et al. (April 2015).
5192: 5033: 4505: 4336: 4302: 4238: 4209: 4175: 3887: 2820:. Future trends in life expectancy have huge implications for old-age support programs (like 2008: 1668:
Mental illness is reported to occur in approximately 18% of the average American population.
1619: 1047: 6629:
Timmers PR, Tiys ES, Sakaue S, Akiyama M, Kiiskinen TT, Zhou W, et al. (January 2022).
6302:"The sex with the reduced sex chromosome dies earlier: a comparison across the tree of life" 4855: 4617: 4286: 3300: 1683:
The greater mortality of people with mental disorders may be due to death from injury, from
1319:, the life expectancy gap between low income and high-income neighborhoods touches 20 years. 9062: 9011: 8294: 8221: 8019: 7925: 7810: 7333:
Rege S, Lafferty T (June 2008). "Life-threatening constipation associated with clozapine".
7035:
Rosenbaum L (October 2016). "Closing the Mortality Gap - Mental Illness and Medical Care".
6701: 6557: 6392: 5940: 4532: 4304:
Inbreeding, Incest, and the Incest Taboo: The State of Knowledge at the Turn of the Century
3733: 3521: 3114: 2821: 2737: 1766: 847: 754:
Based on Early and Middle Bronze Age data, life expectancy at age 15 would be 28–36 years.
545: 110: 8381: 7564: 6352: 5574: 2942: 2261: 2172: 1675:
Life expectancy in the seriously mentally ill is much shorter than the general population.
1053: 8: 9644: 9639: 9634: 9583: 9501: 9127: 9104: 9074: 7797:
Campbell F, Conti G, Heckman JJ, Moon SH, Pinto R, Pungello E, et al. (March 2014).
7773:"Measuring the value of education : Career Outlook: U.S. Bureau of Labor Statistics" 5882:"How long will I live? Estimate remaining life expectancy for all countries in the world" 3124: 3054: 2793: 2773: 2677: 1982: 1880: 1762: 1752: 1688: 1388: 1355: 1348: 1103: 884: 488: 442:: global female life expectancy gap at birth for countries and territories as defined by 8483: 8298: 8225: 8023: 7929: 7814: 7589:
Zanetti O, Solerte SB, Cantoni F (2009). "Life expectancy in Alzheimer's disease (AD)".
6918:
Reininghaus U, Dutta R, Dazzan P, Doody GA, Fearon P, Lappin J, et al. (May 2015).
6561: 6396: 5944: 5144: 4055: 3737: 3525: 2946:"Remaining" life expectancy—expected number of remaining years of life as a function of 1129: 411: 9132: 8952: 8829: 8713: 8662: 8635: 8611: 8584: 8093: 8043: 7992: 7949: 7902: 7889:
Austad SN (1993). "Retarded senescence in an insular population of Virginia opossums".
7871: 7831: 7798: 7748: 7731: 7702: 7677: 7655: 7541: 7532: 7516: 7492: 7467: 7443: 7418: 7358: 7310: 7285: 7124: 7097: 6992: 6944: 6919: 6818: 6793: 6792:
Steel Z, Marnane C, Iranpour C, Chey T, Jackson JW, Patel V, et al. (April 2014).
6710: 6670: 6580: 6545: 6518: 6491: 6464: 6439: 6438:
Ruby JG, Wright KM, Rand KA, Kermany A, Noto K, Curtis D, et al. (November 2018).
6415: 6380: 6328: 6301: 5963: 5928: 5856:"Did The Great Depression Have A Silver Lining? Life Expectancy Increased By 6.2 Years" 5702: 5651: 5626: 5344: 5268: 5252: 5218: 5174: 4714: 4689: 4103: 3937: 3852: 3827: 3803: 3776: 3757: 3550: 3537: 3509: 3139: 3007: 2765: 2696:, but more sophisticated methods are now used. The most common modern methods include: 2607: 2290: 2201: 1962: 1942: 1860: 1854: 1840: 1820:. Since this original study in 1974, at least 14 additional studies were performed on 1654: 1272: 1043: 876: 629: 572: 133:
Map of the life expectancy at birth in the world in 2023 (UN estimate, smooth palette)
129: 8244: 8209: 7678:"Weight, mortality, years of healthy life, and active life expectancy in older adults" 6490:
Timmers PR, Mounier N, Lall K, Fischer K, Ning Z, Feng X, et al. (January 2019).
5881: 5332: 1438: 923:
For males: 24.8 years in 1740–1749, 27.9 years in 1750–1759, 33.9 years in 1800–1809.
9649: 9157: 9069: 8889:—Visualizations of how life expectancy around the world has changed historically (by 8837: 8792: 8723: 8719:
Bad Medicine: Misconceptions and Misuses Revealed, from Distance Healing to Vitamin O
8667: 8616: 8418: 8392: 8359: 8310: 8306: 8249: 8172: 8131: 8085: 8035: 7984: 7953: 7941: 7854:
Williams G (1957). "Pleiotropy, natural selection, and the evolution of senescence".
7836: 7753: 7707: 7693: 7647: 7642: 7626:"Screening for prostate, breast and colorectal cancer in renal transplant recipients" 7625: 7606: 7546: 7497: 7448: 7434: 7417:
Nemani K, Li C, Olfson M, Blessing EM, Razavian N, Chen J, et al. (April 2021).
7399: 7350: 7315: 7245: 7180: 7129: 7052: 6984: 6949: 6900: 6823: 6674: 6662: 6585: 6546:"Multivariate genomic scan implicates novel loci and haem metabolism in human ageing" 6523: 6469: 6420: 6333: 6093: 6089: 6076:(1 January 1983). "Sex differences in human mortality: the role of genetic factors". 6055: 5968: 5738: 5709: 5656: 5589: 5519:"The Missing Americans: Unprecedented US Mortality Far Exceeds Other Wealthy Nations" 5487: 5336: 5260: 5166: 5135: 5123: 5070: 4962: 4887: 4862: 4830: 4805: 4719: 4664: 4623: 4511: 4484: 4454: 4416: 4390: 4342: 4308: 4268: 4244: 4215: 4181: 4126: 4031: 3893: 3857: 3808: 3749: 3678: 3646: 3614: 3581: 3555: 3488: 3405: 3119: 3035: 3016: 3003: 2931: 2829: 2729: 2693: 1817: 1777: 1564: 1550: 1518: 1430:, excessive alcohol consumption, obesity, access to health care, diet, and exercise. 1214: 1068: 1058: 804: 657: 633: 538: 419: 63: 8921: 8097: 7659: 7362: 7224:"Clozapine-induced agranulocytosis. Incidence and risk factors in the United States" 6996: 5745: 5348: 5312: 5272: 612:
is commonly used for consumer products, and the terms "mean time to breakdown" and "
9552: 9532: 9449: 9045: 8788: 8657: 8647: 8606: 8596: 8451: 8447: 8302: 8239: 8229: 8162: 8077: 8027: 7996: 7976: 7933: 7898: 7863: 7826: 7818: 7743: 7697: 7689: 7637: 7598: 7536: 7528: 7487: 7479: 7438: 7430: 7389: 7342: 7305: 7297: 7235: 7119: 7109: 7044: 6976: 6939: 6931: 6890: 6813: 6805: 6688: 6652: 6642: 6575: 6565: 6513: 6503: 6459: 6451: 6410: 6400: 6323: 6313: 6085: 6047: 6009: 6005: 5958: 5948: 5646: 5638: 5328: 5242: 5178: 5158: 4709: 4701: 4652: 4380: 4095: 4063: 4023: 3971: 3941: 3929: 3847: 3839: 3798: 3788: 3761: 3741: 3606: 3545: 3529: 3397: 3189: 2920:(HDI) of each nation along with adult literacy, education, and standard of living. 2887: 1627: 1588: 1576: 1408: 1404: 759: 692: 685: 515: 8047: 7602: 7577: 7419:"Association of Psychiatric Disorders With Mortality Among Patients With COVID-19" 3377:(rev. ed.). Washington, DC: Bureau of the Census, Government Printing Office. 8996: 8915: 8903: 7301: 6980: 5206: 4547: 4282: 3793: 3642: 2836:
Life expectancy forecasting is usually based on one of two different approaches:
2704: 2673: 1816:. It was found that DNA repair capability increased systematically with species 1710:
pandemic, researchers have found an increased risk of death in the mentally ill.
1696: 1606:"Healthspan, parental lifespan, and longevity are highly genetically correlated." 1534: 1459: 1427: 1391:
and life expectancy. However, in contrast, a study by José A. Tapia Granados and
1377: 1268: 1263: 1259: 696: 8063:"Life and death: metabolic rate, membrane composition, and life span of animals" 7240: 7223: 6455: 3843: 3724:
Hughes BG, Hekimi S (June 2017). "Many possible maximum lifespan trajectories".
3610: 1584: 1478:. Men are also more likely to die from injuries, whether unintentional (such as 799:
Life expectancy at age 1 reached 47 years for the 72% surviving the first year.
9588: 9147: 9114: 9084: 9028: 8688: 8410: 8214:
Proceedings of the National Academy of Sciences of the United States of America
8081: 6647: 6630: 6570: 6385:
Proceedings of the National Academy of Sciences of the United States of America
6073: 5933:
Proceedings of the National Academy of Sciences of the United States of America
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The Great Divergence: China, Europe, and the Making of the Modern World Economy
4585: 3401: 3169: 3134: 3084: 3074: 2986: 2896: 2858: 2788: 2255: 1731:
evidence of a relationship between educational attainment and adult mortality.
1631: 1495: 1373: 1327: 1249: 1173: 1146: 892: 737:
Based on Early Neolithic data, life expectancy at age 15 would be 28–33 years.
653: 500: 451: 8743: 7980: 7732:"The Effect of Educational Attainment on Adult Mortality in the United States" 7394: 7377: 7346: 6895: 6878: 5642: 3279: 1322: 590: 9613: 9547: 9506: 9454: 8805: 8763:"Old Age, Height and Nutrition: Common Misconceptions About Medieval England" 8652: 8601: 8561: 8503: 8438:
Lee RD, Carter LR (September 1992). "Modeling and forecasting US mortality".
7200: 7010: 6238: 6168: 5491: 5366:"COVID-19 eliminated a decade of progress in global level of life expectancy" 5162: 4914:"Health, history and hard choices: Funding dilemmas in a fast-changing world" 4705: 4099: 3702: 3184: 3164: 3079: 3049: 3031: 2769: 2711: 1423: 1392: 1331: 1300: 1233: 1229: 1210: 1201: 1107: 1086: 1064: 649: 40:"Human lifespan" redirects here. For the lifespan of a person in stages, see 8938: 7822: 7114: 6935: 6877:
Wahlbeck K, Westman J, Nordentoft M, Gissler M, Laursen TM (December 2011).
6405: 6276:"Why men (and other male animals) die younger: It's all in the Y chromosome" 5953: 5067:
Health, Wealth and Population in the Early Days of the Industrial Revolution
4027: 3915:"A Theory of Human Life History Evolution: Diet, Intelligence and Longevity" 3777:"Errors as a primary cause of late-life mortality deceleration and plateaus" 3423: 2218:, rounded down to whole years. Life expectancy, more technically called the 1418:
Life expectancy is also likely to be affected by exposure to high levels of
9152: 9142: 9137: 8620: 8396: 8389:
Vital and Health Statistics. Series 2, Data Evaluation and Methods Research
8314: 8234: 8176: 8135: 8089: 7988: 7945: 7840: 7757: 7711: 7651: 7610: 7550: 7501: 7452: 7403: 7354: 7319: 7222:
Alvir JM, Lieberman JA, Safferman AZ, Schwimmer JL, Schaaf JA (July 1993).
7133: 7056: 6988: 6953: 6904: 6827: 6666: 6589: 6527: 6473: 6424: 6357: 6337: 6318: 5972: 5660: 5593: 5340: 5292: 5170: 5139: 4723: 4394: 3861: 3812: 3753: 3559: 3409: 3179: 3129: 3094: 3064: 3020: 2816:
Forecasting life expectancy and mortality form an important subdivision of
2198:, is a discrete random variable representing the remaining lifetime at age 1556: 1530: 1514: 1471: 1134: 773: 8671: 8253: 7676:, O'Meara ES, Fitzpatrick A, Newman AB, Kuller L, Burke G (January 2008). 7249: 7048: 6097: 6059: 6051: 5424:"Life Expectancy in the U.S. Dropped for the Second Year in a Row in 2021" 5264: 5209:, Banister J (December 1996). "Five decades of missing females in China". 4123:
The shotgun method: the demography of the ancient Greek city-state culture
4035: 1563:
in lifespan is attributable due to differences in environment rather than
514:
indicate an LEB of 24. In 2019, world LEB was 73.3. A combination of high
9481: 9040: 9023: 8191:"The Longevity Secret for Tortoises Is Held In Their Low Metabolism Rate" 8039: 7673: 6809: 6715: 5759:"Tackling health inequalities: Status report on the Programme for Action" 4385: 4368: 3964:"The Neolithic Revolution and Contemporary Variations in Life Expectancy" 2882: 2877: 1785: 1647: 1467: 1205:
Life expectancy from 1990 to 2021 in the US, UK, Netherlands, and Austria
1176:
tend to live shorter lives than their western counterparts. For example,
970: 819: 716: 625: 624:
The earliest documented work on life expectancy was done in the 1660s by
415:
Life expectancy development in some big countries of the world since 1960
8167: 8150: 7937: 6508: 4107: 3745: 3677:. New York, New York: The McGraw-Hill Companies, Inc. pp. 128–132. 3508:
Contreras SC, Jurema AL, Claudino ES, Bresciani E, Caneppele TM (1983).
1769:
to increased life expectancy. That is the key to why animals like giant
9001: 8499:"Anti-ageing drugs are coming that could keep you healthier for longer" 7875: 5288:"Japan's life expectancy 'down to equality and public health measures'" 5256: 3541: 3144: 3089: 3059: 3024: 2846: 2817: 2783:
Healthy Life Expectancy (HALE) vs GDP per Capita in different countries
2725: 2720: 1781: 1703:; the mentally ill have a four times risk of gastrointestinal disease. 1692: 1611: 1487: 1415:, and the likelihood of injury among other longevity-limiting factors. 1380:
area stands at 54, which is 28 years less than in the affluent area of
1316: 1253: 1225: 1185: 1098: 888: 742: 609: 601: 511: 496: 7483: 6847:. National Association of State Mental Health Program Directors. 2006. 5222: 4369:"Longevity of popes and artists between the 13th and the 19th century" 3996:
Proceedings of Meeting on Paleopathology at the Origins of Agriculture
1559:
of lifespan is estimated to be less than 10%, meaning the majority of
787:~20 at age 40; 14–18 at age 50; ~10–12 at age 60; and ~6–7 at age 70. 9578: 9557: 8975: 8890: 8852: 8691:. U.S. Social Security Administration Office of Chief Actuary. 2020. 8031: 6169:"Telemores, sexual size dimorphism and gender gap in life expectancy" 5729: 5588:(4). Hyattsville, MD: National Center for Health Statistics=: 1–117. 4767: 3174: 3034:
criticizes the popular conflation of life span (life expectancy) and
2805: 2687:
of the population members. If a large amount of data is available, a
1684: 1615: 1475: 1412: 1177: 729: 669: 534: 7867: 6605:"Blood iron levels could be key to slowing ageing, gene study shows" 5734:"Link between health spending and life expectancy: US is an outlier" 5546:"What doctors wish patients knew about falling U.S. life expectancy" 5247: 5230: 3533: 3388:
MacLennan WJ, Sellers WI (January 1999). "Ageing through the ages".
1671: 1283:
In 2023, the life expectancy was 84.5 in Japan, 4.2 years above the
807:(Europe, from the late 5th or early 6th century to the 10th century) 8683: 8681: 8061:
Hulbert AJ, Pamplona R, Buffenstein R, Buttemer WA (October 2007).
6777: 6256: 4590: 3012: 2904: 2801: 2761: 1809: 1770: 1707: 1699:, among other comorbidities. Psychiatric medicines also affect the 1245: 1150: 1118: 1093: 746: 519: 423:
Life expectancy at birth, measured by region, between 1950 and 2050
8634:
Kaplan GA, Pamuk ER, Lynch JW, Cohen RD, Balfour JL (April 1996).
8060: 7148:"Lilly Adds Strong Warning Label to Zyprexa, a Schizophrenia Drug" 3312:— see file "Compact (most used: estimates and medium projections)" 2937: 2714:) to fit the data. (In cases of relatively large amounts of data.) 1735:
than a high school education have the shortest life expectancies.
8991: 7672: 2951: 2825: 2797: 1801: 1491: 1455: 1369: 1296: 1237: 1221: 952: 901: 862: 605: 597: 569:
and is the mean number of years of life remaining at a given age
8678: 7221: 6876: 4287:"Growing up fatherless in antiquity: the demographic background" 3934:
10.1002/1520-6505(2000)9:4<156::AID-EVAN5>3.0.CO;2-7
3507: 1145:
on many African countries. According to projections made by the
8983: 8922:
Annual Life Tables since 1966; Decennial Life Tables since 1890
6842:"Morbidity and Mortality in People With Serious Mental Illness" 6773:"Nearly 1 in 5 Americans Suffers From Mental Illness Each Year" 5704:
The Spirit Level: Why Greater Equality Makes Societies Stronger
5124:"Ten great public health achievements—United States, 1900-1999" 2866: 2850: 1845: 1821: 1805: 1592: 1568: 1381: 1359:
Life expectancy vs healthcare spending of rich OECD countries.
1304: 1241: 1181: 915: 499:
cohort assumed to be exposed, from birth through death, to the
8811:
Human lifespans have not been constant for the last 2000 years
7799:"Early childhood investments substantially boost adult health" 7565:"Diabetes Life Expectancy – Type 1 and Type 2 Life Expectancy" 5279: 4766: 4480:
Perilous Passage: Mankind and the Global Ascendancy of Capital
4413:
The Cambridge Ancient History XI: The High Empire, A.D. 70–192
3280:"Life expectancy and Healthy life expectancy, data by country" 2142:{\displaystyle {}_{k}p_{x}\,q_{x+k}={}_{k}p_{x}-{}_{k+1}p_{x}} 9527: 8583:
De Vogli R, Mistry R, Gnesotto R, Cornia GA (February 2005).
7284:
Philpott HL, Nandurkar S, Lubel J, Gibson PR (January 2014).
6120: 5991:"Why men die younger: causes of mortality differences by sex" 5926: 5830:"Research ties economic inequality to gap in life expectancy" 3675:
Life Expectancy. A Topical Approach to: Life-Span Development
2862: 2841: 1813: 1793: 1789: 1635: 8944: 8582: 8382:"A method for constructing complete annual U.S. life tables" 7283: 6966: 6378: 3451:"Falsehood: "If this was the Stone Age, I'd be dead by now"" 3348:"Period and cohort life expectancy explained: December 2019" 2581:{\displaystyle e_{x}=\sum _{k=1}^{\infty }{}\,\,\,_{k}p_{x}} 1618:. The genes affected by variation in these loci highlighted 1092:
Human beings are expected to live on average 30–40 years in
6917: 6753:. Bureau of the Census. May 2010. p. 5. Archived from 3390:
Proceedings of the Royal College of Physicians of Edinburgh
2870: 1657:
had an estimated 743 centenarians per million inhabitants.
1463: 1443: 1288: 1284: 1142: 1057:
Life expectancy in 1800, 1950, and 2015 – visualization by
378: 324: 240: 134: 7915: 5573:
Murphy SL, Xu JQ, Kochanek KD, Curtin SC, Arias E (2013).
3912: 3011:
the average life expectancy of their time period, such as
2840:
Forecasting the life expectancy directly, generally using
2683:
The starting point for calculating life expectancy is the
1096:
and 82.6 years in Japan. An analysis published in 2011 in
30:
This article is about normal lifespan. For the novel, see
8120:"What determines longevity: Metabolic rate or stability?" 7201:"Antipsychotic-Related Metabolic Testing Falls Far Short" 7176:
Type 2 Diabetes, Pre-Diabetes, and the Metabolic Syndrome
6489: 6299: 5897: 3889:
Seasons of Life: The Dramatic Journey from Birth to Death
2744:
education, environment, sleep, climate, and health care.
1797: 1579:
which influenced lifespan by modifying susceptibility to
1483: 1292: 946:
estimated at ~25 years, while Europe averaged ~33 years.
891:
and Huron communities, he met people over 100 years old.
8760: 7969:
Theory in Biosciences = Theorie in den Biowissenschaften
7796: 6791: 6628: 6543: 6381:"Twentieth century surge of excess adult male mortality" 4056:"Natural Selection and the Evolution of Life Expectancy" 3308:
United Nations Department of Economic and Social Affairs
1149:
in 2002, the life expectancy at birth for 2010–2015 (if
1032:
Range: ~54 (Central African Republic) – 85.3 (Hong Kong)
6602: 6544:
Timmers PR, Wilson JF, Joshi PK, Deelen J (July 2020).
4611: 4609: 2916:
Life expectancy is one of the factors in measuring the
2510:) into the sum and simplifying gives the final result 1496:
mortality rates for females in child-bearing age groups
8353: 8148: 7623: 7515:
Li L, Li F, Fortunati F, Krystal JH (September 2020).
7416: 7375: 6431: 6379:
Beltrán-Sánchez H, Finch CE, Crimmins EM (July 2015).
5853: 5572: 4907: 4905: 4086:
Morris I (2004). "Economic Growth in Ancient Greece".
3479: 3424:"Life expectancy at birth (years) [Indicator]" 2732:
are used to model the life expectancy of a component.
2669:, and is the intuitive definition of life expectancy. 1567:. However, researchers have identified regions of the 530:
expectancies at every age for both males and females.
8850: 8633: 7588: 6437: 6300:
Xirocostas ZA, Everingham SE, Moles AT (March 2020).
6239:"Fruit flies offer DNA clue to why women live longer" 4014:
Angel JL (May 1969). "The bases of paleodemography".
2630: 2610: 2521: 2318: 2293: 2264: 2229: 2204: 2175: 2052: 2041:
at which people of that age die. It can be shown that
2011: 1985: 1965: 1945: 1909: 1883: 1863: 1653:
every 1 million inhabitants in September 2010).
1626:
A follow-up study which investigated the genetics of
1387:
A 2013 study found a pronounced relationship between
1347:
Life expectancy is higher in rich countries with low
575: 548: 8772: 8010:
Kirkwood TB (November 1977). "Evolution of ageing".
7514: 7098:"Hyperglycemia associated with olanzapine treatment" 6037: 5677:. Cincinnati, Ohio: Waterfields, LLC. Archived from 5318: 4622:. Springer Science & Business Media. p. 8. 4606: 4483:. Rowman & Littlefield Publishers. p. 138. 4049: 4047: 4045: 2974:
Life expectancy increases with age already achieved.
1691:. It has been shown that the psychiatric medication 1376:: life expectancy for males in the heavily deprived 1262:
have generally shorter life expectancies than their
8417:. Boston: Kluwer Academic Publishers. p. 310. 7011:"Antipsychotics Linked to Mortality in Parkinson's" 5069:. London: George Routledge & Sons. p. 30. 4902: 4533:"The Peopling of Mexico from Origins to Revolution" 3473: 3323:""Life Expectancy" – What does this actually mean?" 3234:) denotes the complete expected future lifetime of 1295:, and red meat. For these reasons, Japan has a low 678:The following information is derived from the 1961 8274:. San Diego, CA: Academic Press. pp. 109–113. 8269: 7862:(4). Society for the Study of Evolution: 398–411. 6860:"The Largest Health Disparity We Don't Talk About" 5701: 5568: 5566: 5477: 5193:"The World Factbook — Central Intelligence Agency" 4921:World Health Organization: Global Health Histories 4854: 4762: 4760: 4758: 4756: 4754: 4338:Patriarchy, Property and Death in the Roman Family 4088:Journal of Institutional and Theoretical Economics 3955: 3913:Kaplan H, Hill K, Lancaster J, Hurtado AM (2000). 2768:(HLY) based on reported activity limitations. The 2657: 2616: 2580: 2480: 2299: 2279: 2244: 2210: 2190: 2141: 2025: 1997: 1971: 1951: 1931: 1895: 1869: 581: 561: 431:Life expectancy by world region, from 1770 to 2018 125:Life expectancy and healthy life expectancy by sex 8834:The Biology of Life Span: A Quantitative Approach 8828: 8558:"International Human Development Indicators—UNDP" 8265: 8263: 8151:"Metabolism, ubiquinone synthesis, and longevity" 8149:Aguilaniu H, Durieux J, Dillin A (October 2005). 6658:20.500.11820/1bac547c-2eb9-47e1-b4b8-e80d741941c7 6622: 6485: 6483: 6210:"World Population Ageing 2015 (ST/ESA/SER.A/390)" 5211:Proceedings of the American Philosophical Society 4954:. U.N. Department of Economic and Social Affairs. 4752: 4750: 4748: 4746: 4744: 4742: 4740: 4738: 4736: 4734: 4203: 4201: 4199: 4197: 4042: 3699:"No detectable limit to how long people can live" 2241: 2022: 1928: 1638:were associated with increased healthy lifespan. 27:Measure of average lifespan in a given population 9611: 7966: 6539: 6537: 5699: 5479:"Why life expectancy is lower in eastern Europe" 4963:"Life expectancy at birth, total (years) – Data" 4804:. Cambridge University Press. pp. 246–247. 4415:. Cambridge University Press. pp. 788–789. 4366: 3892:. University of Michigan Press. pp. 47–49. 3578:Fatigue Design: Life Expectancy of Machine Parts 3387: 2387: 596:Life expectancy is also used in plant or animal 8708: 8706: 8704: 8702: 8440:Journal of the American Statistical Association 8117: 7729: 7725: 7723: 7721: 7624:Kiberd BA, Keough-Ryan T, Clase CM (May 2003). 7376:Hibbard KR, Propst A, Frank DE, Wyse J (2009). 5907:The world health report 2004 – changing history 5563: 4829:. Canada: Oxford University Press. p. 21. 4362: 4360: 4358: 3159:Strategies for engineered negligible senescence 2938:Life expectancy vs. other measures of longevity 8466:"Healthy life expectancy (HALE) at 60 (years)" 8284: 8260: 6480: 5984: 5982: 5929:"The human sex ratio from conception to birth" 5893: 5891: 5451:World Population Prospects — The 2002 Revision 5388:"Life expectancy at birth, total (years)—Data" 4980: 4978: 4731: 4683: 4681: 4679: 4341:. Cambridge University Press. pp. 22–25. 4211:Imperial Women of Rome: Power, Gender, Context 4194: 3906: 3295: 3293: 3291: 3289: 1384:, which is only 8 km (5.0 mi) away. 1160:69.9 years instead of 41.5 years, South Africa 518:and deaths in young adulthood from accidents, 8960: 8415:Statistical ecology: a population perspective 8373: 7790: 7508: 7410: 6534: 6372: 5228: 5205: 4986:"Life Expectancy by Country and in the World" 4690:"Changing life expectancy throughout history" 4472: 4470: 4330: 4328: 4326: 4294:Princeton/Stanford Working Papers in Classics 4264:The Cambridge Companion to the Roman Republic 4009: 4007: 4005: 3601:Sutherland I (15 July 2005). "Graunt, John". 3575: 3381: 3372: 3282:. World Health Organization. 4 December 2020. 3151: 1209:In 2022, the life expectancy was 77.5 in the 8859:U.S. Department of Health and Human Services 8778: 8699: 8589:Journal of Epidemiology and Community Health 8201: 7718: 7465: 7332: 5920: 5854:University of Michigan (29 September 2009). 5821: 4782:. How did life expectancy change over time?. 4564:"Time traveller's guide to Medieval Britain" 4442: 4440: 4438: 4436: 4434: 4432: 4411:Frier B (2009). "Chapter 27: Demographics". 4406: 4404: 4355: 4125:. University of Missouri Press. p. 55. 3987: 3881: 3879: 3877: 3875: 3873: 3871: 3723: 3627: 1498:were higher than for males at the same age. 8798: 8482:. World Health Organization. Archived from 7095: 5979: 5888: 5667: 5128:MMWR. Morbidity and Mortality Weekly Report 4975: 4676: 4647: 4645: 4643: 4641: 4639: 4453:. Kilnamanagh. pp. 123, 137, 123–151. 4267:. Cambridge University Press. p. 105. 4169: 4167: 3828:"Life equations for the senescence process" 3768: 3668: 3666: 3664: 3662: 3520:(1). Ecological Society of America: 72–78. 3286: 1746: 8967: 8953: 8863:Centers for Disease Control and Prevention 8851:Kochanek KD, Arias E, Anderson RN (2013). 8409: 8207: 7682:Journal of the American Geriatrics Society 7578:Centers for Disease Control and Prevention 6192:Townsend Letter for Doctors & Patients 6113:"U.S. Life Expectancy Best Ever, Says CDC" 5761:. UK: Department of Health. Archived from 5428:Centers for Disease Control and Prevention 5231:"Five decades of missing females in China" 4467: 4323: 4207: 4139: 4002: 3600: 3571: 3569: 3274: 3272: 3219:refers to the expected future lifetime of 3208: 3206: 2923:Life expectancy is used in describing the 2747: 1163:70.5 years instead of 31.8 years, Zimbabwe 1157:70.7 years instead of 31.6 years, Botswana 691:Life expectancy at birth takes account of 487:LEB is the mean length of life of a birth 479:denotes the average life remaining at age 8661: 8651: 8610: 8600: 8437: 8354:Cunningham R, Herzog T, London R (2008). 8243: 8233: 8166: 7830: 7747: 7701: 7641: 7540: 7491: 7466:Wang Q, Xu R, Volkow ND (February 2021). 7442: 7393: 7309: 7286:"Drug-induced gastrointestinal disorders" 7239: 7179:. Springer Science & Business Media. 7123: 7113: 7034: 6943: 6894: 6817: 6770: 6656: 6646: 6596: 6579: 6569: 6517: 6507: 6463: 6414: 6404: 6327: 6317: 6217:Department of Economic and Social Affairs 6142:"Life expectancy—care quality indicators" 5962: 5952: 5650: 5608:"Asian American/Pacific Islander Profile" 5246: 4793: 4791: 4789: 4713: 4615: 4429: 4401: 4384: 4367:Carrieri MP, Serraino D (December 2005). 4307:. Stanford University Press. p. 97. 4053: 4016:American Journal of Physical Anthropology 3961: 3885: 3868: 3851: 3802: 3792: 3549: 3105:List of countries by past life expectancy 2561: 2559: 2558: 2461: 2460: 2443: 2441: 2383: 2230: 2072: 1911: 1338: 1330:in 2009. This phenomenon is known as the 793:Wang clan of China, 1st century AD – 1749 674:List of countries by past life expectancy 96:Learn how and when to remove this message 8937:from Tesarta Online (Internet Archive); 8836:. New York: Harwood Academic Publisher. 8379: 8009: 7853: 6603:University of Edinburgh (20 July 2020). 6189: 6148:. Nuffield Trust & Health Foundation 5827: 5368:. World Health Organization. 24 May 2024 4694:Journal of the Royal Society of Medicine 4651: 4636: 4507:Women in Early Medieval Europe, 400-1100 4281: 4236: 4180:. Rowman & Littlefield. p. 44. 4164: 3672: 3659: 3442: 2969: 2941: 1939:and the probability of dying during age 1857:, the probability of surviving from age 1844: 1670: 1601: 1437: 1354: 1342: 1321: 1299:rate, and ultimately low mortality from 1200: 1128: 1052: 434: 426: 418: 410: 372: 318: 234: 128: 120: 109: 8118:Olshansky SJ, Rattan SI (August 2005). 7172: 6857: 6350: 6273: 6072: 5624: 5285: 4824: 4687: 4214:. Oxford University Press. p. 87. 3633: 3566: 3514:Biomaterial Investigations in Dentistry 3375:The Methods and Materials of Demography 3269: 3203: 1587:. The locus with the largest effect is 1102:attributes Japanese life expectancy to 14: 9612: 8712: 8496: 8327: 7888: 7591:Archives of Gerontology and Geriatrics 6353:"When Did Women Start to Outlive Men?" 6245:. 2 August 2012 – via bbc.co.uk. 5988: 5631:European Journal of Clinical Nutrition 4786: 4476: 4334: 4260: 4120: 4085: 3774: 3487:. Pearson Prentice Hall. p. 473. 1074: 663: 8948: 8867:National Center for Health Statistics 8804: 8761:Khan-ad-Din FM, Caidan Pentathlon M. 8480:"Health Status Statistics: Mortality" 7730:Hummer RA, Hernandez EM (June 2013). 6798:International Journal of Epidemiology 6255: 6110: 5728: 5516: 4827:Voices and Visions: A Story of Canada 4545: 4503: 4446: 4410: 4373:International Journal of Epidemiology 4013: 3993: 3448: 2985:1300–1400: to age 45 (because of the 2672:By definition, life expectancy is an 2037:of dying at that age, and is not the 652:for any human is that of Frenchwoman 5722: 5543: 5229:Coale AJ, Banister J (August 1994). 5064: 4911: 4849: 4586:"A millennium of health improvement" 4300: 4173: 3100:List of countries by life expectancy 2796:. Approaches being explored include 2512: 2309: 2043: 1399:found that life expectancy actually 1081:List of countries by life expectancy 495:LEB is the mean length of life of a 483:). This can be defined in two ways. 46: 8909:Rank Order—Life expectancy at birth 8887:Our World In Data – Life Expectancy 8744:"Life Expectancy by Age, 1850–2011" 8560:. Hdrstats.undp.org. Archived from 7630:American Journal of Transplantation 7228:The New England Journal of Medicine 7037:The New England Journal of Medicine 6702:"Centenarians to Hit Record 44,000" 5795: 5121: 3832:Biochemistry and Biophysics Reports 3825: 2764:publishes annual statistics called 24: 8941:from Dr. Bob's All Creatures Site. 8821: 7903:10.1111/j.1469-7998.1993.tb02665.x 7770: 7533:10.1001/jamanetworkopen.2020.23282 6166: 5898:World Health Organization (2004). 5777:"Social factors key to ill health" 4797: 2778: 2551: 2433: 2375: 2332: 1713: 1433: 25: 9661: 8875: 8781:Population and Development Review 8695:from the original on 8 July 2023. 8270:Bernstein C, Bernstein H (1991). 7809:(6178). New York, N.Y.: 1478–85. 7271:U.S. Food Drug and Administration 7264:"Zyprexa Prescribing Information" 7096:Kumar PN, Thomas B (April 2011). 6883:The British Journal of Psychiatry 5803:"GP explains life expectancy gap" 5582:National Vital Statistics Reports 5498:from the original on 31 July 2023 5048:"Population Change Modernization" 4945:"World Population Prospects 2019" 4530: 3301:"World Population Prospects 2024" 1841:Life table § The mathematics 1663: 1167: 708:Life expectancy at birth in years 639: 465:(LEB, or in demographic notation 9110:Biodemography of human longevity 8793:10.1111/j.1728-4457.2007.00171.x 8754: 8736: 8627: 8576: 8550: 8518: 8490: 8472: 8458: 8431: 8403: 8347: 8321: 8307:10.1111/j.1461-0248.2007.01085.x 8278: 8208:Hart RW, Setlow RB (June 1974). 8183: 8142: 8111: 8054: 8003: 7960: 7909: 7882: 7847: 7764: 7694:10.1111/j.1532-5415.2007.01500.x 7666: 7643:10.1034/j.1600-6143.2003.00118.x 7617: 7582: 7571: 7557: 7459: 7435:10.1001/jamapsychiatry.2020.4442 7369: 7326: 7277: 7256: 7215: 7193: 7166: 7140: 7089: 7063: 7028: 7003: 6960: 6911: 6870: 6851: 6834: 6785: 6771:Bekiempis V (28 February 2014). 6764: 6721: 6694: 6681: 5998:North American Actuarial Journal 5879: 5402:"Wealth & Health of Nations" 5091:"History—The Foundling Hospital" 4801:An Early Modern Economy in China 3250: 3212:In standard actuarial notation, 3110:List of longest-living organisms 2967:surviving beyond their twenties. 1695:can increase risk of developing 1575:of 1 million lifespans found 12 1374:amongst the highest in the world 1196: 1153:did not exist) would have been: 377:Life expectancy at age 80 years 323:Life expectancy at age 65 years 239:Life expectancy at age 15 years 51: 6344: 6293: 6267: 6249: 6231: 6202: 6183: 6160: 6134: 6104: 6066: 6031: 5873: 5847: 5769: 5751: 5700:Wilkinson R, Pickett K (2009). 5693: 5618: 5600: 5537: 5510: 5470: 5442: 5416: 5394: 5380: 5358: 5199: 5185: 5115: 5101: 5083: 5058: 5040: 5018: 4996: 4934: 4875: 4843: 4818: 4578: 4556: 4539: 4524: 4497: 4228: 4114: 4079: 3819: 3717: 3691: 3594: 3501: 3485:Economics: Principles in Action 3241: 1641: 8928:Life expectancy in Roman times 8918:from the CIA's World Factbook. 8452:10.1080/01621459.1992.10475265 7173:Codario RA (28 October 2007). 6689:"World Population Ageing 2009" 6010:10.1080/10920277.2000.10595939 4510:. Cambridge University Press. 3416: 3373:Shryock HS, Siegel JS (1973). 3366: 3352:Office for National Statistics 3340: 3315: 2911: 2811: 2411: 2402: 2396: 2390: 2353: 2350: 2344: 2338: 2274: 2268: 2185: 2179: 1834: 1513:One recent suggestion is that 1361:US average of $ 10,447 in 2018 1256:being linked to most of them. 1184:can expect to live to 85, but 928:18th-century American colonies 73:Clarification needed at times. 13: 1: 8974: 8930:from the University of Texas. 8330:"Curtate Expectation of Life" 7603:10.1016/j.archger.2009.09.035 6969:Current Opinion in Psychiatry 6078:Social Science & Medicine 5828:Fletcher MA (10 March 2013). 5575:"Deaths: Final Data for 2010" 5333:10.1016/S0140-6736(11)61055-6 3603:Encyclopedia of Biostatistics 3263: 2901:R package called 'demography' 1932:{\displaystyle \,_{n}p_{x}\!} 1573:genome-wide association study 939:Beginning of the 19th century 834:Late medieval English peerage 650:The longest verified lifespan 510:Human remains from the early 8468:. World Health Organization. 7302:10.1136/flgastro-2013-100316 7102:Indian Journal of Psychiatry 6981:10.1097/YCO.0b013e32835035ca 6219:. United Nations. p. 53 6111:Hitti M (28 February 2005). 6090:10.1016/0277-9536(83)90234-4 5675:"The Root Causes of Poverty" 5550:American Medical Association 5286:Boseley S (30 August 2011). 4688:Griffin JP (December 2008). 4552:. Brainy Bookstore Mckrause. 4504:Bitel LM (24 October 2002). 3794:10.1371/journal.pbio.2006776 3576:Zahavi E, Torbilo V (1996). 2892:singular value decomposition 1788:irradiation was measured in 1741:Carolina Abecedarian Project 1725: 1326:Plot of life expectancy vs. 1309: 887:wrote that in his visits to 699:but not prenatal mortality. 446:for 2019. Open the original 7: 8356:Models for Quantifying Risk 7241:10.1056/NEJM199307153290303 6456:10.1534/genetics.118.301613 4174:Ryan G (1 September 2021). 3844:10.1016/j.bbrep.2015.09.020 3775:Newman SJ (December 2018). 3611:10.1002/0470011815.b2a17055 3042: 2594: 2506: 2494: 2155: 1544: 1525:Another explanation is the 616:" are used in engineering. 71:. The specific problem is: 10: 9666: 9051:research into centenarians 8914:December 29, 2018, at the 8497:Lawton G (24 April 2019). 8272:Aging, Sex, and DNA Repair 8082:10.1152/physrev.00047.2006 7290:Frontline Gastroenterology 6648:10.1038/s43587-021-00159-8 6571:10.1038/s41467-020-17312-3 6274:Gilbert L (4 March 2020). 5989:Kalben BB (October 2000). 4661:Princeton University Press 4450:The Imperial Roman Economy 3402:10.1177/147827159902900114 3152:Increasing life expectancy 3070:DNA damage theory of aging 2905:UC Berkeley's LCFIT system 2703:looking at an established 1838: 1826:DNA damage theory of aging 1750: 1645: 1591:. Carriers of the APOE ε4 1548: 1089:, medical care, and diet. 1078: 982:19th-century world average 667: 644: 619: 614:mean time between failures 397: 389: 381: 359: 351: 343: 335: 327: 299: 285: 271: 257: 243: 215: 189: 163: 137: 39: 29: 9571: 9520: 9480: 9442: 9397: 9242: 9184: 9173: 9120:Longevity escape velocity 9083: 9007:aging-associated diseases 8982: 8722:, Wiley, pp. 70–71, 8358:(Third ed.). Actex. 7981:10.1007/s12064-007-0001-0 7395:10.1176/appi.psy.50.4.416 7347:10.1080/10398560701882203 7189:– via Google Books. 6896:10.1192/bjp.bp.110.085100 6858:Khullar D (30 May 2018). 6351:Rettner R (6 July 2015). 5643:10.1038/s41430-020-0677-5 4240:Debating Roman Demography 3922:Evolutionary Anthropology 3886:Kotre JN, Hall E (1997). 3580:. Boca Raton: CRC Press. 3428:World Health Organization 3238:, including the fraction. 2876:Forecasting age-specific 2658:{\displaystyle e_{x}+1/2} 2245:{\displaystyle \,e_{x}\!} 2220:curtate expected lifetime 1124: 1115:World Health Organization 820:Pre-Columbian Mesoamerica 9599:Longest-living organisms 8939:The Life Span of Animals 8902:October 3, 2014, at the 8882:Charts for all countries 8653:10.1136/bmj.312.7037.999 8602:10.1136/jech.2004.020651 5544:Berg S (10 March 2023). 5517:McKoy J (14 July 2023). 5163:10.1001/jama.281.16.1481 5157:(16): 1481. April 1999. 5026:"Death in Early America" 4861:(1st ed.). Nimbus. 4706:10.1258/jrsm.2008.08k037 4549:Life in the Aztec Empire 4100:10.1628/0932456042776050 4054:Galor O, Moav O (2005). 3962:Galor O, Moav O (2007). 3196: 3030:However, anthropologist 2925:physical quality of life 2685:age-specific death rates 2665:, which is denoted by e̊ 1747:Evolution and aging rate 1278: 463:life expectancy at birth 8832:, Gavrilova NS (1991). 8328:Kinney B (1 May 2019). 8155:Genes & Development 7823:10.1126/science.1248429 7335:Australasian Psychiatry 7115:10.4103/0019-5545.82562 6744:"Older Americans Month" 6406:10.1073/pnas.1421942112 6171:. Jerrymondo.tripod.com 5954:10.1073/pnas.1416546112 5625:Tsugane S (June 2021). 5523:School of Public Health 5111:. Gapminder Foundation. 5052:Encyclopædia Britannica 5004:"Medicine & Health" 4028:10.1002/ajpa.1330300314 3826:Liu X (December 2015). 3230:(with a ring above the 3017:Saint Anthony the Great 2918:Human Development Index 2754:Healthy life expectancy 2748:Healthy life expectancy 2167:curtate future lifetime 2026:{\displaystyle q_{x}\!} 1585:smoking-related disease 1506:degenerative diseases. 1452:health survival paradox 1016:2019–2020 world average 681:Encyclopædia Britannica 9594:Transhumanist politics 9512:Immortality in fiction 9490:Biological immortality 9034:cognitive epidemiology 8689:"Actuarial Life Table" 8334:Infinity is Really Big 8235:10.1073/pnas.71.6.2169 6924:Schizophrenia Bulletin 6319:10.1098/rsbl.2019.0867 5404:. Gapminder Foundation 4208:Boatwright MT (2021). 3483:, Sheffrin SM (2003). 3449:Laden G (1 May 2011). 3223:in whole years, while 2975: 2955: 2784: 2689:statistical population 2659: 2618: 2582: 2555: 2482: 2437: 2379: 2301: 2281: 2246: 2212: 2192: 2143: 2027: 1999: 1973: 1953: 1933: 1897: 1871: 1850: 1701:gastrointestinal tract 1676: 1607: 1527:unguarded X hypothesis 1476:cirrhosis of the liver 1447: 1397:University of Michigan 1364: 1352: 1339:Economic circumstances 1335: 1206: 1137: 1110:, and a healthy diet. 1061: 583: 563: 455: 432: 424: 416: 408: 370: 316: 232: 126: 118: 9630:Demographic economics 9398:regions by continents 9017:negligible senescence 9012:degenerative diseases 8531:. SOA. Archived from 8070:Physiological Reviews 7049:10.1056/NEJMms1610125 6936:10.1093/schbul/sbu138 6550:Nature Communications 6052:10.1542/peds.48.6.902 5486:. 20 September 2018. 4616:Lancaster HO (1990). 4243:. BRILL. p. 29. 2995:1500–1550: to age 71 2973: 2945: 2789:quest for longer life 2782: 2660: 2619: 2583: 2535: 2483: 2417: 2359: 2302: 2282: 2247: 2213: 2193: 2144: 2028: 2000: 1974: 1954: 1934: 1898: 1872: 1848: 1839:Further information: 1674: 1605: 1549:Further information: 1441: 1420:highway air pollution 1358: 1346: 1325: 1204: 1132: 1079:Further information: 1056: 1048:Industrial Revolution 850:(16th – 18th century) 668:Further information: 584: 564: 562:{\displaystyle e_{x}} 459:Human life expectancy 438: 430: 422: 414: 376: 322: 238: 132: 124: 113: 9243:regions of countries 9063:LGBT life expectancy 8857:. Hyattsville, Md.: 8380:Anderson RN (2000). 8197:on 12 November 2013. 8107:on 18 February 2019. 7597:(Suppl 1): 237–243. 6760:on 16 February 2016. 6733:Bureau of the Census 6708:. 15 September 2010. 6019:on 13 September 2017 5708:. Bloomsbury Press. 5036:on 30 December 2010. 5014:on 15 February 2020. 4619:Expectations of Life 3115:LGBT life expectancy 2992:1400–1500: to age 69 2982:1200–1300: to age 64 2822:U.S. Social Security 2628: 2608: 2519: 2316: 2291: 2280:{\displaystyle K(x)} 2262: 2227: 2202: 2191:{\displaystyle K(x)} 2173: 2050: 2009: 1983: 1963: 1943: 1907: 1881: 1861: 1767:basal metabolic rate 848:Early modern Britain 589:, with a particular 573: 546: 78:improve this article 67:to meet Knowledge's 9584:Longevity insurance 9502:Digital immortality 9128:calorie restriction 9115:Indefinite lifespan 9105:Anti-aging movement 9075:Biomarkers of aging 8413:, Young JH (1998). 8299:2007EcolL..10..867R 8226:1974PNAS...71.2169H 8168:10.1101/gad.1366505 8024:1977Natur.270..301K 7938:10.1038/nature02936 7930:2004Natur.431.1095R 7924:(7012): 1095–1099. 7815:2014Sci...343.1478C 7736:Population Bulletin 6739:on 10 October 2013. 6562:2020NatCo..11.3570T 6509:10.7554/eLife.39856 6397:2015PNAS..112.8993B 6259:(6 February 2013). 5945:2015PNAS..112E2102O 5765:on 5 February 2007. 5681:on 6 September 2015 5614:on 4 February 2012. 5525:. Boston University 5390:. World Bank Group. 5327:(9796): 1094–1105. 4952:Population Division 4237:Scheidel W (2017). 3746:10.1038/nature22786 3738:2017Natur.546E...8H 3673:Santrock J (2007). 3526:1983Ecol...64..631M 3461:on 11 November 2012 3125:Medieval demography 3055:Calorie restriction 2794:cellular senescence 2774:Healthy People 2010 1998:{\displaystyle x+1} 1959:(i.e. between ages 1896:{\displaystyle x+n} 1763:caloric restriction 1753:Life history theory 1720:Alzheimer's disease 1706:As of 2020 and the 1597:Alzheimer's disease 1389:economic inequality 1372:, the disparity is 1349:economic inequality 1188:from the region of 1117:announced that the 1104:equal opportunities 1075:Regional variations 1026:Females: 75.6 years 951:Early 19th-century 885:Samuel de Champlain 664:Variation over time 9234:World macroregions 9133:Diet and longevity 8933:Animal lifespans: 8646:(7037): 999–1003. 8124:Discovery Medicine 7567:. 15 January 2019. 7152:The New York Times 6864:The New York Times 6810:10.1093/ije/dyu038 6751:Facts for Features 5195:. 4 November 2021. 5122:CDC (April 1999). 4967:data.worldbank.org 4825:Francis D (2006). 4770:, Ortiz-Ospina E, 4594:. 27 December 1998 4477:Bagchi AK (2008). 4386:10.1093/ije/dyi211 4335:Saller RP (1997). 4261:Flower HI (2014). 4121:Hansen MH (2006). 3140:Population pyramid 3008:Christopher Wanjek 2976: 2956: 2787:The long-standing 2785: 2766:Healthy Life Years 2655: 2614: 2578: 2478: 2297: 2277: 2242: 2208: 2188: 2139: 2023: 1995: 1969: 1949: 1929: 1893: 1867: 1855:actuarial notation 1851: 1677: 1655:Shimane Prefecture 1608: 1490:) or intentional ( 1448: 1365: 1353: 1336: 1273:Hispanic Americans 1207: 1138: 1062: 1044:Colony of Virginia 1005:1950 world average 994:1900 world average 877:Canadian Maritimes 630:Christiaan Huygens 579: 559: 456: 433: 425: 417: 409: 371: 317: 233: 127: 119: 9625:Actuarial science 9607: 9606: 9438: 9437: 9158:stem-cell therapy 9070:Maximum life span 8843:978-3-7186-4983-9 8729:978-0-471-43499-3 8564:on April 20, 2009 8424:978-0-412-04711-4 8365:978-1-56698-676-2 8161:(20): 2399–2406. 8018:(5635): 301–304. 7521:JAMA Network Open 7484:10.1002/wps.20806 7186:978-1-59259-932-5 7043:(16): 1585–1589. 6198:(78–85): 133–139. 5739:Our World in Data 5715:978-1-60819-036-2 5109:"Gapminder World" 5076:978-0-415-38218-2 5008:Stratfordhall.org 4888:Our World in Data 4883:"Life expectancy" 4868:978-1-55109-056-6 4836:978-0-19-542169-9 4811:978-1-108-47920-2 4780:Our World in Data 4776:"Life Expectancy" 4670:978-0-691-09010-8 4629:978-0-387-97105-6 4517:978-0-521-59773-9 4490:978-1-4617-0515-4 4460:978-1-9996262-2-8 4422:978-1-139-05439-3 4348:978-0-521-59978-8 4314:978-0-8047-5141-4 4274:978-1-139-99238-1 4250:978-90-04-35109-7 4221:978-0-19-045589-7 4187:978-1-63388-703-9 4132:978-0-8262-6548-7 3899:978-0-472-08512-5 3701:(Press release). 3684:978-0-07-313376-8 3652:978-0-525-53885-1 3620:978-0-470-84907-1 3587:978-0-8493-8970-2 3494:978-0-13-063085-8 3327:Our World in Data 3120:Maximum life span 3036:maximum life span 3004:Maximum life span 2952:retirement income 2932:income inequality 2890:, which uses the 2730:accelerated aging 2694:Gompertz function 2617:{\displaystyle x} 2602: 2601: 2502: 2501: 2300:{\displaystyle x} 2211:{\displaystyle x} 2163: 2162: 1972:{\displaystyle x} 1952:{\displaystyle x} 1870:{\displaystyle x} 1565:genetic variation 1551:Genetics of aging 1519:natural selection 1174:eastern Europeans 1069:1918 flu pandemic 1059:Our World in Data 1039: 1038: 1029:Males: 70.8 years 805:Early Middle Ages 658:maximum life span 634:Lodewijck Huygens 582:{\displaystyle x} 533:Life expectancy, 407: 406: 369: 368: 315: 314: 231: 230: 106: 105: 98: 69:quality standards 60:This article may 16:(Redirected from 9657: 9450:Longevity claims 9182: 9181: 9046:supercentenarian 8969: 8962: 8955: 8946: 8945: 8935:Animal Lifespans 8870: 8847: 8816: 8815: 8802: 8796: 8795: 8776: 8770: 8769: 8767: 8758: 8752: 8751: 8740: 8734: 8733: 8710: 8697: 8696: 8685: 8676: 8675: 8665: 8655: 8631: 8625: 8624: 8614: 8604: 8580: 8574: 8573: 8571: 8569: 8554: 8548: 8547: 8545: 8543: 8537: 8530: 8522: 8516: 8515: 8513: 8511: 8494: 8488: 8487: 8476: 8470: 8469: 8462: 8456: 8455: 8446:(419): 659–671. 8435: 8429: 8428: 8407: 8401: 8400: 8386: 8377: 8371: 8369: 8351: 8345: 8344: 8342: 8340: 8325: 8319: 8318: 8282: 8276: 8275: 8267: 8258: 8257: 8247: 8237: 8205: 8199: 8198: 8193:. Archived from 8187: 8181: 8180: 8170: 8146: 8140: 8139: 8115: 8109: 8108: 8106: 8100:. Archived from 8076:(4): 1175–1213. 8067: 8058: 8052: 8051: 8032:10.1038/270301a0 8007: 8001: 8000: 7964: 7958: 7957: 7913: 7907: 7906: 7886: 7880: 7879: 7851: 7845: 7844: 7834: 7794: 7788: 7787: 7785: 7783: 7768: 7762: 7761: 7751: 7727: 7716: 7715: 7705: 7670: 7664: 7663: 7645: 7621: 7615: 7614: 7586: 7580: 7575: 7569: 7568: 7561: 7555: 7554: 7544: 7512: 7506: 7505: 7495: 7472:World Psychiatry 7463: 7457: 7456: 7446: 7414: 7408: 7407: 7397: 7373: 7367: 7366: 7330: 7324: 7323: 7313: 7281: 7275: 7274: 7268: 7260: 7254: 7253: 7243: 7219: 7213: 7212: 7210: 7208: 7197: 7191: 7190: 7170: 7164: 7163: 7161: 7159: 7154:. 6 October 2007 7144: 7138: 7137: 7127: 7117: 7093: 7087: 7086: 7084: 7082: 7073:. Archived from 7067: 7061: 7060: 7032: 7026: 7025: 7023: 7021: 7007: 7001: 7000: 6964: 6958: 6957: 6947: 6915: 6909: 6908: 6898: 6874: 6868: 6867: 6855: 6849: 6848: 6846: 6838: 6832: 6831: 6821: 6789: 6783: 6782: 6768: 6762: 6761: 6759: 6748: 6740: 6735:. Archived from 6725: 6719: 6709: 6698: 6692: 6685: 6679: 6678: 6660: 6650: 6626: 6620: 6619: 6617: 6615: 6600: 6594: 6593: 6583: 6573: 6541: 6532: 6531: 6521: 6511: 6487: 6478: 6477: 6467: 6450:(3): 1109–1124. 6435: 6429: 6428: 6418: 6408: 6376: 6370: 6369: 6367: 6365: 6348: 6342: 6341: 6331: 6321: 6297: 6291: 6290: 6288: 6286: 6271: 6265: 6264: 6261:"Mother's Curse" 6253: 6247: 6246: 6235: 6229: 6228: 6226: 6224: 6214: 6206: 6200: 6199: 6187: 6181: 6180: 6178: 6176: 6164: 6158: 6157: 6155: 6153: 6138: 6132: 6131: 6129: 6127: 6108: 6102: 6101: 6070: 6064: 6063: 6035: 6029: 6028: 6026: 6024: 6018: 6012:. Archived from 5995: 5986: 5977: 5976: 5966: 5956: 5939:(16): E2102–11. 5924: 5918: 5917: 5915: 5913: 5904: 5895: 5886: 5885: 5877: 5871: 5870: 5868: 5866: 5851: 5845: 5844: 5842: 5840: 5825: 5819: 5818: 5816: 5814: 5809:. 28 August 2008 5799: 5793: 5792: 5790: 5788: 5783:. 28 August 2008 5773: 5767: 5766: 5755: 5749: 5743: 5726: 5720: 5719: 5707: 5697: 5691: 5690: 5688: 5686: 5671: 5665: 5664: 5654: 5622: 5616: 5615: 5604: 5598: 5597: 5579: 5570: 5561: 5560: 5558: 5556: 5541: 5535: 5534: 5532: 5530: 5514: 5508: 5507: 5505: 5503: 5481: 5474: 5468: 5467: 5465: 5463: 5446: 5440: 5439: 5437: 5435: 5430:. 31 August 2022 5420: 5414: 5413: 5411: 5409: 5398: 5392: 5391: 5384: 5378: 5377: 5375: 5373: 5362: 5356: 5355: 5316: 5310: 5309: 5303: 5301: 5283: 5277: 5276: 5250: 5227:Also printed as 5226: 5203: 5197: 5196: 5189: 5183: 5182: 5143: 5119: 5113: 5112: 5105: 5099: 5098: 5087: 5081: 5080: 5065:Buer MC (1926). 5062: 5056: 5055: 5044: 5038: 5037: 5032:. Archived from 5022: 5016: 5015: 5010:. Archived from 5000: 4994: 4993: 4982: 4973: 4970: 4955: 4949: 4938: 4932: 4931: 4929: 4927: 4918: 4909: 4900: 4899: 4897: 4895: 4879: 4873: 4872: 4860: 4847: 4841: 4840: 4822: 4816: 4815: 4795: 4784: 4783: 4764: 4729: 4727: 4717: 4685: 4674: 4673: 4649: 4634: 4633: 4613: 4604: 4603: 4601: 4599: 4582: 4576: 4575: 4573: 4571: 4560: 4554: 4553: 4543: 4537: 4536: 4528: 4522: 4521: 4501: 4495: 4494: 4474: 4465: 4464: 4447:Maher G (2021). 4444: 4427: 4426: 4408: 4399: 4398: 4388: 4379:(6): 1435–1436. 4364: 4353: 4352: 4332: 4321: 4318: 4301:Wolf AP (2005). 4297: 4291: 4278: 4257: 4232: 4226: 4225: 4205: 4192: 4191: 4171: 4162: 4161: 4159: 4157: 4143: 4137: 4136: 4118: 4112: 4111: 4083: 4077: 4076: 4074: 4072: 4064:Brown University 4060: 4051: 4040: 4039: 4011: 4000: 3999: 3991: 3985: 3984: 3982: 3980: 3972:Brown University 3968: 3959: 3953: 3952: 3950: 3948: 3919: 3910: 3904: 3903: 3883: 3866: 3865: 3855: 3823: 3817: 3816: 3806: 3796: 3787:(12): e2006776. 3772: 3766: 3765: 3721: 3715: 3714: 3712: 3710: 3695: 3689: 3688: 3670: 3657: 3656: 3641:(1st ed.). 3631: 3625: 3624: 3605:. pp. 1–2. 3598: 3592: 3591: 3573: 3564: 3563: 3553: 3505: 3499: 3498: 3477: 3471: 3470: 3468: 3466: 3457:. Archived from 3446: 3440: 3439: 3437: 3435: 3420: 3414: 3413: 3385: 3379: 3378: 3370: 3364: 3363: 3361: 3359: 3344: 3338: 3337: 3335: 3333: 3319: 3313: 3311: 3305: 3297: 3284: 3283: 3276: 3257: 3254: 3248: 3245: 3239: 3210: 3190:Infant mortality 2888:Lee-Carter model 2738:Lee–Carter model 2664: 2662: 2661: 2656: 2651: 2640: 2639: 2623: 2621: 2620: 2615: 2596: 2587: 2585: 2584: 2579: 2577: 2576: 2567: 2566: 2557: 2554: 2549: 2531: 2530: 2513: 2496: 2487: 2485: 2484: 2479: 2477: 2476: 2459: 2458: 2449: 2448: 2436: 2431: 2378: 2373: 2328: 2327: 2310: 2306: 2304: 2303: 2298: 2286: 2284: 2283: 2278: 2251: 2249: 2248: 2243: 2240: 2239: 2217: 2215: 2214: 2209: 2197: 2195: 2194: 2189: 2157: 2148: 2146: 2145: 2140: 2138: 2137: 2128: 2127: 2116: 2110: 2109: 2100: 2099: 2094: 2088: 2087: 2071: 2070: 2061: 2060: 2055: 2044: 2032: 2030: 2029: 2024: 2021: 2020: 2004: 2002: 2001: 1996: 1978: 1976: 1975: 1970: 1958: 1956: 1955: 1950: 1938: 1936: 1935: 1930: 1927: 1926: 1917: 1916: 1902: 1900: 1899: 1894: 1876: 1874: 1873: 1868: 1778:skin fibroblasts 1614:, lifespan, and 1405:Great Depression 760:Classical Greece 702: 701: 693:infant mortality 686:world population 588: 586: 585: 580: 568: 566: 565: 560: 558: 557: 539:maximum lifespan 516:infant mortality 440:“Gender Die Gap” 401: 393: 385: 379: 363: 355: 347: 339: 331: 325: 309: 303: 295: 289: 281: 275: 267: 261: 253: 247: 241: 225: 219: 211: 205: 199: 193: 185: 179: 173: 167: 159: 153: 147: 141: 135: 101: 94: 90: 87: 81: 55: 54: 47: 21: 9665: 9664: 9660: 9659: 9658: 9656: 9655: 9654: 9620:Life expectancy 9610: 9609: 9608: 9603: 9567: 9521:Longevity genes 9516: 9476: 9434: 9393: 9238: 9177:life expectancy 9175: 9169: 9079: 9058:Life expectancy 8997:Longevity myths 8978: 8973: 8916:Wayback Machine 8904:Wayback Machine 8878: 8873: 8844: 8824: 8822:Further reading 8819: 8803: 8799: 8777: 8773: 8765: 8759: 8755: 8742: 8741: 8737: 8730: 8711: 8700: 8687: 8686: 8679: 8632: 8628: 8581: 8577: 8567: 8565: 8556: 8555: 8551: 8541: 8539: 8538:on 7 March 2019 8535: 8528: 8524: 8523: 8519: 8509: 8507: 8495: 8491: 8486:on 4 July 2012. 8478: 8477: 8473: 8464: 8463: 8459: 8436: 8432: 8425: 8408: 8404: 8384: 8378: 8374: 8366: 8352: 8348: 8338: 8336: 8326: 8322: 8293:(10): 867–872. 8287:Ecology Letters 8283: 8279: 8268: 8261: 8206: 8202: 8189: 8188: 8184: 8147: 8143: 8130:(28): 359–362. 8116: 8112: 8104: 8065: 8059: 8055: 8008: 8004: 7965: 7961: 7914: 7910: 7887: 7883: 7868:10.2307/2406060 7852: 7848: 7795: 7791: 7781: 7779: 7769: 7765: 7728: 7719: 7671: 7667: 7622: 7618: 7587: 7583: 7576: 7572: 7563: 7562: 7558: 7527:(9): e2023282. 7513: 7509: 7464: 7460: 7423:JAMA Psychiatry 7415: 7411: 7374: 7370: 7331: 7327: 7282: 7278: 7266: 7262: 7261: 7257: 7220: 7216: 7206: 7204: 7199: 7198: 7194: 7187: 7171: 7167: 7157: 7155: 7146: 7145: 7141: 7094: 7090: 7080: 7078: 7077:on 9 April 2019 7069: 7068: 7064: 7033: 7029: 7019: 7017: 7009: 7008: 7004: 6965: 6961: 6916: 6912: 6875: 6871: 6856: 6852: 6844: 6840: 6839: 6835: 6790: 6786: 6769: 6765: 6757: 6746: 6742: 6727: 6726: 6722: 6700: 6699: 6695: 6687:United Nations 6686: 6682: 6627: 6623: 6613: 6611: 6601: 6597: 6542: 6535: 6488: 6481: 6436: 6432: 6377: 6373: 6363: 6361: 6349: 6345: 6312:(3): 20190867. 6306:Biology Letters 6298: 6294: 6284: 6282: 6272: 6268: 6254: 6250: 6237: 6236: 6232: 6222: 6220: 6212: 6208: 6207: 6203: 6188: 6184: 6174: 6172: 6165: 6161: 6151: 6149: 6140: 6139: 6135: 6125: 6123: 6109: 6105: 6071: 6067: 6036: 6032: 6022: 6020: 6016: 5993: 5987: 5980: 5925: 5921: 5911: 5909: 5902: 5896: 5889: 5878: 5874: 5864: 5862: 5852: 5848: 5838: 5836: 5834:Washington Post 5826: 5822: 5812: 5810: 5801: 5800: 5796: 5786: 5784: 5775: 5774: 5770: 5757: 5756: 5752: 5732:(26 May 2017). 5727: 5723: 5716: 5698: 5694: 5684: 5682: 5673: 5672: 5668: 5623: 5619: 5606: 5605: 5601: 5577: 5571: 5564: 5554: 5552: 5542: 5538: 5528: 5526: 5515: 5511: 5501: 5499: 5476: 5475: 5471: 5461: 5459: 5448: 5447: 5443: 5433: 5431: 5422: 5421: 5417: 5407: 5405: 5400: 5399: 5395: 5386: 5385: 5381: 5371: 5369: 5364: 5363: 5359: 5317: 5313: 5299: 5297: 5284: 5280: 5248:10.2307/2061752 5204: 5200: 5191: 5190: 5186: 5148: 5134:(12): 241–243. 5120: 5116: 5107: 5106: 5102: 5089: 5088: 5084: 5077: 5063: 5059: 5046: 5045: 5041: 5030:Digital History 5024: 5023: 5019: 5002: 5001: 4997: 4984: 4983: 4976: 4961: 4947: 4943: 4939: 4935: 4925: 4923: 4916: 4910: 4903: 4893: 4891: 4881: 4880: 4876: 4869: 4848: 4844: 4837: 4823: 4819: 4812: 4796: 4787: 4765: 4732: 4686: 4677: 4671: 4650: 4637: 4630: 4614: 4607: 4597: 4595: 4584: 4583: 4579: 4569: 4567: 4562: 4561: 4557: 4544: 4540: 4529: 4525: 4518: 4502: 4498: 4491: 4475: 4468: 4461: 4445: 4430: 4423: 4409: 4402: 4365: 4356: 4349: 4333: 4324: 4315: 4289: 4275: 4251: 4233: 4229: 4222: 4206: 4195: 4188: 4172: 4165: 4155: 4153: 4145: 4144: 4140: 4133: 4119: 4115: 4084: 4080: 4070: 4068: 4058: 4052: 4043: 4012: 4003: 3992: 3988: 3978: 3976: 3966: 3960: 3956: 3946: 3944: 3917: 3911: 3907: 3900: 3884: 3869: 3824: 3820: 3773: 3769: 3732:(7660): E8–E9. 3722: 3718: 3708: 3706: 3697: 3696: 3692: 3685: 3671: 3660: 3653: 3643:Riverhead Books 3632: 3628: 3621: 3599: 3595: 3588: 3574: 3567: 3534:10.2307/1937181 3506: 3502: 3495: 3478: 3474: 3464: 3462: 3447: 3443: 3433: 3431: 3422: 3421: 3417: 3386: 3382: 3371: 3367: 3357: 3355: 3354:. UK Government 3346: 3345: 3341: 3331: 3329: 3321: 3320: 3316: 3303: 3299: 3298: 3287: 3278: 3277: 3270: 3266: 3261: 3260: 3255: 3251: 3246: 3242: 3228: 3217: 3211: 3204: 3199: 3194: 3154: 3149: 3045: 2940: 2914: 2814: 2750: 2705:mortality table 2674:arithmetic mean 2668: 2647: 2635: 2631: 2629: 2626: 2625: 2609: 2606: 2605: 2572: 2568: 2562: 2560: 2556: 2550: 2539: 2526: 2522: 2520: 2517: 2516: 2466: 2462: 2454: 2450: 2444: 2442: 2432: 2421: 2374: 2363: 2323: 2319: 2317: 2314: 2313: 2292: 2289: 2288: 2263: 2260: 2259: 2235: 2231: 2228: 2225: 2224: 2203: 2200: 2199: 2174: 2171: 2170: 2133: 2129: 2117: 2115: 2114: 2105: 2101: 2095: 2093: 2092: 2077: 2073: 2066: 2062: 2056: 2054: 2053: 2051: 2048: 2047: 2016: 2012: 2010: 2007: 2006: 1984: 1981: 1980: 1964: 1961: 1960: 1944: 1941: 1940: 1922: 1918: 1912: 1910: 1908: 1905: 1904: 1882: 1879: 1878: 1862: 1859: 1858: 1843: 1837: 1776:The ability of 1755: 1749: 1728: 1716: 1714:Other illnesses 1697:agranulocytosis 1666: 1650: 1644: 1620:haem metabolism 1553: 1547: 1436: 1434:Sex differences 1428:tobacco smoking 1341: 1315:cities such as 1312: 1281: 1275:is 81.2 years. 1260:Black Americans 1250:unhealthy diets 1215:wealthy nations 1199: 1170: 1127: 1083: 1077: 1035: 1020: 697:child mortality 676: 666: 647: 642: 622: 604:(also known as 574: 571: 570: 553: 549: 547: 544: 543: 525: 501:mortality rates 478: 471: 403: 399: 395: 391: 387: 383: 365: 361: 357: 353: 349: 345: 341: 337: 333: 329: 311: 307: 305: 301: 297: 293: 291: 287: 283: 279: 277: 273: 269: 265: 263: 259: 255: 251: 249: 245: 227: 223: 221: 217: 213: 209: 207: 203: 201: 197: 195: 191: 187: 183: 181: 177: 175: 171: 169: 165: 161: 157: 155: 151: 149: 145: 143: 139: 102: 91: 85: 82: 75: 56: 52: 45: 38: 33:Life Expectancy 28: 23: 22: 15: 12: 11: 5: 9663: 9653: 9652: 9647: 9642: 9637: 9632: 9627: 9622: 9605: 9604: 9602: 9601: 9596: 9591: 9589:Longevity risk 9586: 9581: 9575: 9573: 9569: 9568: 9566: 9565: 9560: 9555: 9550: 9545: 9540: 9535: 9530: 9524: 9522: 9518: 9517: 9515: 9514: 9509: 9504: 9499: 9498: 9497: 9486: 9484: 9478: 9477: 9475: 9474: 9473: 9472: 9467: 9462: 9452: 9446: 9444: 9440: 9439: 9436: 9435: 9433: 9432: 9427: 9422: 9417: 9412: 9407: 9401: 9399: 9395: 9394: 9392: 9391: 9390: 9389: 9384: 9374: 9369: 9364: 9359: 9354: 9349: 9344: 9339: 9334: 9329: 9324: 9319: 9314: 9309: 9304: 9299: 9294: 9289: 9284: 9283: 9282: 9272: 9267: 9262: 9257: 9252: 9246: 9244: 9240: 9239: 9237: 9236: 9231: 9226: 9221: 9216: 9215: 9214: 9209: 9199: 9194: 9188: 9186: 9179: 9171: 9170: 9168: 9167: 9166: 9165: 9160: 9155: 9150: 9148:organ printing 9145: 9140: 9135: 9130: 9122: 9117: 9112: 9107: 9102: 9101: 9100: 9089: 9087: 9085:Life extension 9081: 9080: 9078: 9077: 9072: 9067: 9066: 9065: 9055: 9054: 9053: 9048: 9038: 9037: 9036: 9031: 9029:biogerontology 9021: 9020: 9019: 9014: 9009: 8999: 8994: 8988: 8986: 8980: 8979: 8972: 8971: 8964: 8957: 8949: 8943: 8942: 8931: 8925: 8919: 8906: 8894: 8884: 8877: 8876:External links 8874: 8872: 8871: 8848: 8842: 8825: 8823: 8820: 8818: 8817: 8797: 8787:(2): 321–365, 8771: 8753: 8735: 8728: 8698: 8677: 8626: 8595:(2): 158–162. 8575: 8549: 8517: 8489: 8471: 8457: 8430: 8423: 8402: 8372: 8364: 8346: 8320: 8277: 8259: 8220:(6): 2169–73. 8200: 8182: 8141: 8110: 8053: 8002: 7959: 7908: 7897:(4): 695–708. 7881: 7846: 7789: 7763: 7717: 7665: 7636:(5): 619–625. 7616: 7581: 7570: 7556: 7507: 7478:(1): 124–130. 7458: 7429:(4): 380–386. 7409: 7388:(4): 416–419. 7382:Psychosomatics 7368: 7341:(3): 216–219. 7325: 7276: 7255: 7234:(3): 162–167. 7214: 7192: 7185: 7165: 7139: 7108:(2): 176–177. 7088: 7062: 7027: 7002: 6959: 6930:(3): 664–673. 6910: 6889:(6): 453–458. 6869: 6850: 6833: 6804:(2): 476–493. 6784: 6763: 6720: 6693: 6680: 6621: 6595: 6533: 6479: 6430: 6391:(29): 8993–8. 6371: 6343: 6292: 6266: 6248: 6230: 6201: 6182: 6159: 6133: 6103: 6084:(6): 321–333. 6065: 6046:(6): 902–906. 6030: 5978: 5919: 5887: 5872: 5846: 5820: 5794: 5768: 5750: 5721: 5714: 5692: 5666: 5637:(6): 921–928. 5617: 5599: 5562: 5536: 5509: 5469: 5441: 5415: 5393: 5379: 5357: 5311: 5278: 5241:(3): 459–479. 5217:(4): 421–450. 5198: 5184: 5114: 5100: 5082: 5075: 5057: 5054:. 25 May 2024. 5039: 5017: 4995: 4974: 4972: 4971: 4957: 4956: 4933: 4901: 4874: 4867: 4842: 4835: 4817: 4810: 4785: 4730: 4675: 4669: 4663:, p. 37, 4635: 4628: 4605: 4577: 4566:. Channel4.com 4555: 4538: 4523: 4516: 4496: 4489: 4466: 4459: 4428: 4421: 4400: 4354: 4347: 4322: 4320: 4319: 4313: 4298: 4279: 4273: 4258: 4249: 4227: 4220: 4193: 4186: 4163: 4151:Britannica.com 4138: 4131: 4113: 4094:(4): 709–742. 4078: 4041: 4022:(3): 427–437. 4001: 3986: 3954: 3928:(4): 156–185. 3905: 3898: 3867: 3818: 3767: 3716: 3705:. 28 June 2017 3690: 3683: 3658: 3651: 3645:. p. 15. 3626: 3619: 3593: 3586: 3565: 3500: 3493: 3472: 3441: 3415: 3380: 3365: 3339: 3314: 3285: 3267: 3265: 3262: 3259: 3258: 3249: 3240: 3226: 3215: 3201: 3200: 3198: 3195: 3193: 3192: 3187: 3182: 3177: 3172: 3170:Life extension 3167: 3162: 3155: 3153: 3150: 3148: 3147: 3142: 3137: 3135:Mortality rate 3132: 3127: 3122: 3117: 3112: 3107: 3102: 3097: 3092: 3087: 3085:Life extension 3082: 3077: 3075:Glasgow effect 3072: 3067: 3062: 3057: 3052: 3046: 3044: 3041: 2997: 2996: 2993: 2990: 2987:bubonic plague 2983: 2939: 2936: 2913: 2910: 2909: 2908: 2897:Rob J. Hyndman 2874: 2813: 2810: 2749: 2746: 2716: 2715: 2708: 2701: 2666: 2654: 2650: 2646: 2643: 2638: 2634: 2613: 2600: 2599: 2590: 2588: 2575: 2571: 2565: 2553: 2548: 2545: 2542: 2538: 2534: 2529: 2525: 2504:Substituting ( 2500: 2499: 2490: 2488: 2475: 2472: 2469: 2465: 2457: 2453: 2447: 2440: 2435: 2430: 2427: 2424: 2420: 2416: 2413: 2410: 2407: 2404: 2401: 2398: 2395: 2392: 2389: 2386: 2382: 2377: 2372: 2369: 2366: 2362: 2358: 2355: 2352: 2349: 2346: 2343: 2340: 2337: 2334: 2331: 2326: 2322: 2296: 2276: 2273: 2270: 2267: 2238: 2234: 2207: 2187: 2184: 2181: 2178: 2161: 2160: 2151: 2149: 2136: 2132: 2126: 2123: 2120: 2113: 2108: 2104: 2098: 2091: 2086: 2083: 2080: 2076: 2069: 2065: 2059: 2019: 2015: 1994: 1991: 1988: 1968: 1948: 1925: 1921: 1915: 1892: 1889: 1886: 1866: 1836: 1833: 1751:Main article: 1748: 1745: 1727: 1724: 1715: 1712: 1665: 1664:Mental illness 1662: 1646:Main article: 1643: 1640: 1581:cardiovascular 1546: 1543: 1435: 1432: 1422:or industrial 1411:, exposure to 1340: 1337: 1328:GDP per capita 1311: 1308: 1280: 1277: 1269:Asian American 1264:White American 1230:drug overdoses 1198: 1195: 1169: 1168:Eastern Europe 1166: 1165: 1164: 1161: 1158: 1147:United Nations 1126: 1123: 1076: 1073: 1037: 1036: 1034: 1033: 1030: 1027: 1023: 1021: 1017: 1013: 1012: 1009: 1006: 1002: 1001: 998: 995: 991: 990: 986: 983: 979: 978: 976: 973: 966: 965: 958: 955: 948: 947: 943: 940: 936: 935: 932: 929: 925: 924: 921: 918: 911: 910: 907: 904: 897: 896: 882: 879: 875:Pre-Champlain 872: 871: 868: 865: 858: 857: 854: 851: 844: 843: 839: 836: 830: 829: 825: 822: 816: 815: 811: 808: 801: 800: 797: 794: 790: 789: 781: 776: 770: 769: 765: 762: 756: 755: 752: 749: 739: 738: 735: 732: 726: 725: 722: 719: 713: 712: 709: 706: 665: 662: 654:Jeanne Calment 646: 643: 641: 640:Human patterns 638: 621: 618: 578: 556: 552: 523: 476: 469: 405: 404: 398: 396: 390: 388: 382: 367: 366: 360: 358: 352: 350: 344: 342: 336: 334: 328: 313: 312: 306: 300: 298: 292: 286: 284: 278: 272: 270: 264: 258: 256: 250: 244: 229: 228: 222: 216: 214: 208: 202: 196: 190: 188: 182: 176: 170: 164: 162: 156: 150: 144: 138: 104: 103: 59: 57: 50: 26: 18:Mean life span 9: 6: 4: 3: 2: 9662: 9651: 9648: 9646: 9643: 9641: 9638: 9636: 9633: 9631: 9628: 9626: 9623: 9621: 9618: 9617: 9615: 9600: 9597: 9595: 9592: 9590: 9587: 9585: 9582: 9580: 9577: 9576: 9574: 9570: 9564: 9561: 9559: 9556: 9554: 9551: 9549: 9546: 9544: 9541: 9539: 9536: 9534: 9531: 9529: 9526: 9525: 9523: 9519: 9513: 9510: 9508: 9507:Eternal youth 9505: 9503: 9500: 9496: 9493: 9492: 9491: 9488: 9487: 9485: 9483: 9479: 9471: 9468: 9466: 9463: 9461: 9458: 9457: 9456: 9455:Oldest people 9453: 9451: 9448: 9447: 9445: 9441: 9431: 9430:South America 9428: 9426: 9423: 9421: 9420:North America 9418: 9416: 9413: 9411: 9408: 9406: 9403: 9402: 9400: 9396: 9388: 9385: 9383: 9380: 9379: 9378: 9375: 9373: 9370: 9368: 9365: 9363: 9360: 9358: 9355: 9353: 9350: 9348: 9345: 9343: 9340: 9338: 9335: 9333: 9330: 9328: 9325: 9323: 9320: 9318: 9315: 9313: 9310: 9308: 9305: 9303: 9300: 9298: 9295: 9293: 9290: 9288: 9285: 9281: 9278: 9277: 9276: 9273: 9271: 9268: 9266: 9263: 9261: 9258: 9256: 9253: 9251: 9248: 9247: 9245: 9241: 9235: 9232: 9230: 9227: 9225: 9222: 9220: 9217: 9213: 9212:South America 9210: 9208: 9207:North America 9205: 9204: 9203: 9200: 9198: 9195: 9193: 9190: 9189: 9187: 9183: 9180: 9178: 9172: 9164: 9161: 9159: 9156: 9154: 9151: 9149: 9146: 9144: 9141: 9139: 9136: 9134: 9131: 9129: 9126: 9125: 9123: 9121: 9118: 9116: 9113: 9111: 9108: 9106: 9103: 9099: 9096: 9095: 9094: 9093:Topic outline 9091: 9090: 9088: 9086: 9082: 9076: 9073: 9071: 9068: 9064: 9061: 9060: 9059: 9056: 9052: 9049: 9047: 9044: 9043: 9042: 9039: 9035: 9032: 9030: 9027: 9026: 9025: 9022: 9018: 9015: 9013: 9010: 9008: 9005: 9004: 9003: 9000: 8998: 8995: 8993: 8990: 8989: 8987: 8985: 8981: 8977: 8970: 8965: 8963: 8958: 8956: 8951: 8950: 8947: 8940: 8936: 8932: 8929: 8926: 8923: 8920: 8917: 8913: 8910: 8907: 8905: 8901: 8898: 8895: 8892: 8888: 8885: 8883: 8880: 8879: 8868: 8864: 8860: 8856: 8855: 8849: 8845: 8839: 8835: 8831: 8827: 8826: 8813: 8812: 8807: 8801: 8794: 8790: 8786: 8782: 8775: 8764: 8757: 8749: 8745: 8739: 8731: 8725: 8721: 8720: 8715: 8709: 8707: 8705: 8703: 8694: 8690: 8684: 8682: 8673: 8669: 8664: 8659: 8654: 8649: 8645: 8641: 8637: 8630: 8622: 8618: 8613: 8608: 8603: 8598: 8594: 8590: 8586: 8579: 8563: 8559: 8553: 8534: 8527: 8521: 8506: 8505: 8504:New Scientist 8500: 8493: 8485: 8481: 8475: 8467: 8461: 8453: 8449: 8445: 8441: 8434: 8426: 8420: 8416: 8412: 8406: 8398: 8394: 8391:(129): 1–28. 8390: 8383: 8376: 8367: 8361: 8357: 8350: 8335: 8331: 8324: 8316: 8312: 8308: 8304: 8300: 8296: 8292: 8288: 8281: 8273: 8266: 8264: 8255: 8251: 8246: 8241: 8236: 8231: 8227: 8223: 8219: 8215: 8211: 8204: 8196: 8192: 8186: 8178: 8174: 8169: 8164: 8160: 8156: 8152: 8145: 8137: 8133: 8129: 8125: 8121: 8114: 8103: 8099: 8095: 8091: 8087: 8083: 8079: 8075: 8071: 8064: 8057: 8049: 8045: 8041: 8037: 8033: 8029: 8025: 8021: 8017: 8013: 8006: 7998: 7994: 7990: 7986: 7982: 7978: 7974: 7970: 7963: 7955: 7951: 7947: 7943: 7939: 7935: 7931: 7927: 7923: 7919: 7912: 7904: 7900: 7896: 7892: 7891:J. Zool. Lond 7885: 7877: 7873: 7869: 7865: 7861: 7857: 7850: 7842: 7838: 7833: 7828: 7824: 7820: 7816: 7812: 7808: 7804: 7800: 7793: 7778: 7774: 7767: 7759: 7755: 7750: 7745: 7741: 7737: 7733: 7726: 7724: 7722: 7713: 7709: 7704: 7699: 7695: 7691: 7687: 7683: 7679: 7675: 7669: 7661: 7657: 7653: 7649: 7644: 7639: 7635: 7631: 7627: 7620: 7612: 7608: 7604: 7600: 7596: 7592: 7585: 7579: 7574: 7566: 7560: 7552: 7548: 7543: 7538: 7534: 7530: 7526: 7522: 7518: 7511: 7503: 7499: 7494: 7489: 7485: 7481: 7477: 7473: 7469: 7462: 7454: 7450: 7445: 7440: 7436: 7432: 7428: 7424: 7420: 7413: 7405: 7401: 7396: 7391: 7387: 7383: 7379: 7372: 7364: 7360: 7356: 7352: 7348: 7344: 7340: 7336: 7329: 7321: 7317: 7312: 7307: 7303: 7299: 7295: 7291: 7287: 7280: 7272: 7265: 7259: 7251: 7247: 7242: 7237: 7233: 7229: 7225: 7218: 7202: 7196: 7188: 7182: 7178: 7177: 7169: 7153: 7149: 7143: 7135: 7131: 7126: 7121: 7116: 7111: 7107: 7103: 7099: 7092: 7076: 7072: 7066: 7058: 7054: 7050: 7046: 7042: 7038: 7031: 7016: 7012: 7006: 6998: 6994: 6990: 6986: 6982: 6978: 6974: 6970: 6963: 6955: 6951: 6946: 6941: 6937: 6933: 6929: 6925: 6921: 6914: 6906: 6902: 6897: 6892: 6888: 6884: 6880: 6873: 6865: 6861: 6854: 6843: 6837: 6829: 6825: 6820: 6815: 6811: 6807: 6803: 6799: 6795: 6788: 6780: 6779: 6774: 6767: 6756: 6752: 6745: 6738: 6734: 6730: 6724: 6717: 6712: 6707: 6703: 6697: 6690: 6684: 6676: 6672: 6668: 6664: 6659: 6654: 6649: 6644: 6640: 6636: 6632: 6625: 6610: 6606: 6599: 6591: 6587: 6582: 6577: 6572: 6567: 6563: 6559: 6555: 6551: 6547: 6540: 6538: 6529: 6525: 6520: 6515: 6510: 6505: 6501: 6497: 6493: 6486: 6484: 6475: 6471: 6466: 6461: 6457: 6453: 6449: 6445: 6441: 6434: 6426: 6422: 6417: 6412: 6407: 6402: 6398: 6394: 6390: 6386: 6382: 6375: 6360: 6359: 6354: 6347: 6339: 6335: 6330: 6325: 6320: 6315: 6311: 6307: 6303: 6296: 6281: 6277: 6270: 6262: 6258: 6252: 6244: 6240: 6234: 6218: 6211: 6205: 6197: 6193: 6186: 6170: 6163: 6147: 6143: 6137: 6122: 6118: 6114: 6107: 6099: 6095: 6091: 6087: 6083: 6079: 6075: 6069: 6061: 6057: 6053: 6049: 6045: 6041: 6034: 6015: 6011: 6007: 6004:(4): 83–111. 6003: 5999: 5992: 5985: 5983: 5974: 5970: 5965: 5960: 5955: 5950: 5946: 5942: 5938: 5934: 5930: 5923: 5908: 5901: 5894: 5892: 5883: 5876: 5861: 5857: 5850: 5835: 5831: 5824: 5808: 5804: 5798: 5782: 5778: 5772: 5764: 5760: 5754: 5747: 5741: 5740: 5735: 5731: 5725: 5717: 5711: 5706: 5705: 5696: 5680: 5676: 5670: 5662: 5658: 5653: 5648: 5644: 5640: 5636: 5632: 5628: 5621: 5613: 5609: 5603: 5595: 5591: 5587: 5583: 5576: 5569: 5567: 5551: 5547: 5540: 5524: 5520: 5513: 5497: 5493: 5489: 5485: 5484:The Economist 5480: 5473: 5458:on 7 May 2022 5457: 5453: 5452: 5445: 5429: 5425: 5419: 5403: 5397: 5389: 5383: 5367: 5361: 5354: 5350: 5346: 5342: 5338: 5334: 5330: 5326: 5322: 5315: 5308: 5295: 5294: 5289: 5282: 5274: 5270: 5266: 5262: 5258: 5254: 5249: 5244: 5240: 5236: 5232: 5224: 5220: 5216: 5212: 5208: 5202: 5194: 5188: 5180: 5176: 5172: 5168: 5164: 5160: 5156: 5152: 5146: 5141: 5137: 5133: 5129: 5125: 5118: 5110: 5104: 5097:. 1 May 2001. 5096: 5092: 5086: 5078: 5072: 5068: 5061: 5053: 5049: 5043: 5035: 5031: 5027: 5021: 5013: 5009: 5005: 4999: 4991: 4987: 4981: 4979: 4968: 4964: 4960: 4959: 4953: 4946: 4942: 4941: 4937: 4922: 4915: 4908: 4906: 4890: 4889: 4884: 4878: 4870: 4864: 4859: 4858: 4852: 4846: 4838: 4832: 4828: 4821: 4813: 4807: 4803: 4802: 4798:Li B (2021). 4794: 4792: 4790: 4781: 4777: 4773: 4769: 4763: 4761: 4759: 4757: 4755: 4753: 4751: 4749: 4747: 4745: 4743: 4741: 4739: 4737: 4735: 4725: 4721: 4716: 4711: 4707: 4703: 4699: 4695: 4691: 4684: 4682: 4680: 4672: 4666: 4662: 4658: 4654: 4648: 4646: 4644: 4642: 4640: 4631: 4625: 4621: 4620: 4612: 4610: 4593: 4592: 4587: 4581: 4565: 4559: 4551: 4550: 4546:Mc Krause S. 4542: 4534: 4527: 4519: 4513: 4509: 4508: 4500: 4492: 4486: 4482: 4481: 4473: 4471: 4462: 4456: 4452: 4451: 4443: 4441: 4439: 4437: 4435: 4433: 4424: 4418: 4414: 4407: 4405: 4396: 4392: 4387: 4382: 4378: 4374: 4370: 4363: 4361: 4359: 4350: 4344: 4340: 4339: 4331: 4329: 4327: 4316: 4310: 4306: 4305: 4299: 4295: 4288: 4284: 4280: 4276: 4270: 4266: 4265: 4259: 4256: 4252: 4246: 4242: 4241: 4235: 4234: 4231: 4223: 4217: 4213: 4212: 4204: 4202: 4200: 4198: 4189: 4183: 4179: 4178: 4170: 4168: 4152: 4148: 4142: 4134: 4128: 4124: 4117: 4109: 4105: 4101: 4097: 4093: 4089: 4082: 4067: 4066:Working Paper 4065: 4057: 4050: 4048: 4046: 4037: 4033: 4029: 4025: 4021: 4017: 4010: 4008: 4006: 3997: 3990: 3975: 3974:Working Paper 3973: 3965: 3958: 3943: 3939: 3935: 3931: 3927: 3923: 3916: 3909: 3901: 3895: 3891: 3890: 3882: 3880: 3878: 3876: 3874: 3872: 3863: 3859: 3854: 3849: 3845: 3841: 3837: 3833: 3829: 3822: 3814: 3810: 3805: 3800: 3795: 3790: 3786: 3782: 3778: 3771: 3763: 3759: 3755: 3751: 3747: 3743: 3739: 3735: 3731: 3727: 3720: 3704: 3703:Science Daily 3700: 3694: 3686: 3680: 3676: 3669: 3667: 3665: 3663: 3654: 3648: 3644: 3640: 3636: 3630: 3622: 3616: 3612: 3608: 3604: 3597: 3589: 3583: 3579: 3572: 3570: 3561: 3557: 3552: 3547: 3543: 3539: 3535: 3531: 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Hawks 3028: 3026: 3022: 3018: 3014: 3009: 3005: 3001: 2994: 2991: 2988: 2984: 2981: 2980: 2979: 2972: 2968: 2964: 2960: 2953: 2949: 2944: 2935: 2933: 2928: 2926: 2921: 2919: 2906: 2902: 2898: 2893: 2889: 2884: 2879: 2875: 2872: 2868: 2864: 2860: 2856: 2852: 2848: 2843: 2839: 2838: 2837: 2834: 2831: 2830:pay-as-you-go 2827: 2823: 2819: 2809: 2807: 2803: 2799: 2795: 2790: 2781: 2777: 2775: 2771: 2770:United States 2767: 2763: 2759: 2755: 2745: 2741: 2739: 2733: 2731: 2727: 2722: 2713: 2712:cubic splines 2709: 2706: 2702: 2699: 2698: 2697: 2695: 2690: 2686: 2681: 2679: 2675: 2670: 2652: 2648: 2644: 2641: 2636: 2632: 2611: 2598: 2591: 2589: 2573: 2569: 2563: 2546: 2543: 2540: 2536: 2532: 2527: 2523: 2515: 2514: 2511: 2509: 2508: 2498: 2491: 2489: 2473: 2470: 2467: 2463: 2455: 2451: 2445: 2438: 2428: 2425: 2422: 2418: 2414: 2408: 2405: 2399: 2393: 2384: 2380: 2370: 2367: 2364: 2360: 2356: 2347: 2341: 2335: 2329: 2324: 2320: 2312: 2311: 2308: 2294: 2271: 2265: 2257: 2253: 2236: 2232: 2221: 2205: 2182: 2176: 2168: 2159: 2152: 2150: 2134: 2130: 2124: 2121: 2118: 2111: 2106: 2102: 2096: 2089: 2084: 2081: 2078: 2074: 2067: 2063: 2057: 2046: 2045: 2042: 2040: 2036: 2017: 2013: 2005:) is denoted 1992: 1989: 1986: 1966: 1946: 1923: 1919: 1913: 1890: 1887: 1884: 1864: 1856: 1847: 1842: 1832: 1829: 1827: 1823: 1819: 1815: 1811: 1807: 1803: 1799: 1795: 1791: 1787: 1783: 1779: 1774: 1772: 1768: 1764: 1759: 1754: 1744: 1742: 1736: 1732: 1723: 1721: 1711: 1709: 1704: 1702: 1698: 1694: 1690: 1686: 1681: 1673: 1669: 1661: 1658: 1656: 1649: 1639: 1637: 1633: 1629: 1624: 1621: 1617: 1613: 1604: 1600: 1598: 1594: 1590: 1586: 1582: 1578: 1574: 1570: 1566: 1562: 1558: 1552: 1542: 1538: 1536: 1532: 1528: 1523: 1520: 1516: 1515:mitochondrial 1511: 1507: 1503: 1499: 1497: 1493: 1489: 1485: 1481: 1477: 1473: 1469: 1465: 1461: 1457: 1453: 1445: 1440: 1431: 1429: 1425: 1424:air pollution 1421: 1416: 1414: 1410: 1406: 1402: 1398: 1394: 1393:Ana Diez Roux 1390: 1385: 1383: 1379: 1375: 1371: 1362: 1357: 1350: 1345: 1333: 1332:Preston curve 1329: 1324: 1320: 1318: 1307: 1306: 1302: 1301:heart disease 1298: 1294: 1290: 1286: 1276: 1274: 1270: 1265: 1261: 1257: 1255: 1251: 1247: 1243: 1239: 1235: 1234:car accidents 1231: 1227: 1223: 1218: 1216: 1212: 1211:United States 1203: 1197:United States 1194: 1191: 1190:Severozapaden 1187: 1183: 1179: 1175: 1162: 1159: 1156: 1155: 1154: 1152: 1148: 1144: 1136: 1131: 1122: 1120: 1116: 1111: 1109: 1108:public health 1105: 1101: 1100: 1095: 1090: 1088: 1087:public health 1082: 1072: 1070: 1066: 1065:Public health 1060: 1055: 1051: 1049: 1045: 1031: 1028: 1025: 1024: 1022: 1018: 1015: 1014: 1010: 1007: 1004: 1003: 999: 996: 993: 992: 987: 984: 981: 980: 977: 974: 972: 971:British India 969:19th-century 968: 967: 964: 959: 956: 954: 950: 949: 944: 941: 938: 937: 933: 930: 927: 926: 922: 919: 917: 914:18th-century 913: 912: 908: 905: 903: 900:18th-century 899: 898: 894: 890: 886: 883: 880: 878: 874: 873: 869: 866: 864: 861:18th-century 860: 859: 855: 852: 849: 846: 845: 840: 837: 835: 832: 831: 826: 823: 821: 818: 817: 812: 809: 806: 803: 802: 798: 795: 792: 791: 788: 782: 780: 777: 775: 772: 771: 766: 763: 761: 758: 757: 753: 750: 748: 744: 741: 740: 736: 733: 731: 728: 727: 723: 720: 718: 715: 714: 710: 707: 704: 703: 700: 698: 694: 689: 687: 683: 682: 675: 671: 661: 659: 655: 651: 637: 635: 631: 627: 617: 615: 611: 607: 603: 599: 594: 592: 576: 554: 550: 540: 536: 531: 527: 521: 517: 513: 508: 506: 502: 498: 494: 490: 486: 482: 475: 468: 464: 460: 453: 449: 445: 441: 437: 429: 421: 413: 380: 375: 326: 321: 242: 237: 136: 131: 123: 117: 112: 108: 100: 97: 89: 86:November 2022 79: 74: 70: 66: 65: 58: 49: 48: 43: 36: 34: 19: 9495:Regeneration 9347:South Africa 9176: 9153:rejuvenation 9143:nanomedicine 9138:gene therapy 9057: 8853: 8833: 8810: 8800: 8784: 8780: 8774: 8756: 8747: 8738: 8718: 8643: 8639: 8629: 8592: 8588: 8578: 8566:. 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