Health survival paradox

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Sex gap in life expectancy and healthy life expectancy Healthy life expectancy bar chart -world -sex.png
Sex gap in life expectancy and healthy life expectancy

The male-female health survival paradox, also known as the morbidity-mortality paradox or gender paradox, is the phenomenon in which female humans experience more medical conditions and disability during their lives, but live longer than males. [2] [3] The observation that females experience greater morbidity (diseases) but lower mortality (death) in comparison to males is paradoxical since it is expected that experiencing disease increases the likelihood of death. [2] However, in this case, the part of the population that experiences more disease and disability is the one that lives longer.

Contents

Background and history

Figure illustrating the three types of factors that may contribute to the male-female health survival paradox: biology, psychology, and social factors. Possible Biopsychosocial Contributors To the Male-Femal Health-Survival Paradox.pdf
Figure illustrating the three types of factors that may contribute to the male-female health survival paradox: biology, psychology, and social factors.

The male-female health survival paradox has been most reliably reported in literature and documented as far back as the 18th century in European historical records. [2] [4] Some of the last records of European men outliving women are from the Netherlands in 1860 and Italy in 1889. The earliest records of European women outliving men were from Sweden in 1751, Denmark in 1835, and both England and Wales in 1841. [4] While women were documented to outlive men in Europe, [2] [4] data from 1887 through 1930 showed that females between ages 5 and 25 in Massachusetts disproportionately faced mortality due to infectious diseases. [5] With improvements in infectious disease prevention, treatment, and eradication of Smallpox around the 1970s, mortality rates declined in both sexes. [4] [5] At this time, female life expectancy also peaked in the United States; females were expected to live eight years longer than males. [5] Since the 1970s, the life expectancy gap between females and males has been on the decline in the United States [5] and Western Europe. [4]

Although more research needs to be completed, it is postulated that there is a "biopsychosocial" component which causes this paradox. [2] In other words, women and men differ in biological, behavioral, and social factors which causes the male-female health survival paradox. [2]

Biopsychosocial factors that have been hypothesized to cause this paradox include genetics, hormone differences, immunological differences, reproduction, chronic diseases, disability, physiological reserve, risk-related activities, illness perception, health reporting behavior, health care utilization, gender roles, and social assets and deficits. [2] [6] [7]

Scholars relate the male-female health survival paradox to the concept of frailty, which is the vulnerability that the aging population has to adverse health outcomes. [2] Such geriatric propensity to frailty is an emerging topic of research given new therapeutic interventions aimed at improving the health of the aging population, such as healthy nutrition, physical exercise, cognitive training, and multimodal interventions that encompass all of these components. [2]

Influential factors

Risk Factors and Behaviors

Different rates of alcohol and tobacco usage by men and women contribute to the paradox in developed countries. [2] [6] More women abstain from alcohol for lifetime, drink less, and have less drinking problems in comparison to men. However, more women tend to have alcohol-related disorders and withdrawal symptoms due to differences in pharmacokinetics and sex hormones. [8]

Similarly, a review on substance-use disorder (SUDs) observed sex/gender differences on the biology, epidemiology, and treatment of substance-use disorder. Women were generally afflicted with more severe adverse events, but prognosis after treatment between men and women did not differ. However, due to conflict of emerging SUDs findings, future studies are needed to confirm whether biological and environmental constituents impact gender/sex differences on substance-use disorder. [9]

It has also been stated that while men experience smoking-related conditions more than women, women have more trouble maintaining cessation than men. [10] [6] [11] However, a recent review showed mixed findings on smoking behavior, and that bio-psycho-social factors may be more impactful than gender differences. In addition, a higher proportion of men use alternative tobacco options to replace cigarettes, and gender-based comparisons may be skewed from failing to stratify randomization in treatment groups. [12] [13] [14]

Diseases

Men are more likely to suffer from heart disease, cancer, and stroke more than women do. [6] These diseases are the main cause of the gender gap in life expectancy. [15]

Despite men having more fatal conditions such as ischemic heart disease, lung cancer, liver cirrhosis, traffic accidents, and suicide, women have more non-fatal acute and chronic conditions. [16] [17] [18] The majority of the female survival advantage is accounted for by differences in mortality rates between men and women ages 50–70 due to differing rates of cardiovascular diseases. [19] [20] While women report more symptoms and experience higher incidence of musculoskeletal and autoimmune disease, men have earlier and higher rates of cardiovascular diseases, after adjusting the data for the gap in life expectancy. [6] Other studies report women having higher rates of cardiovascular disease, while not accounting for women having longer life expectancy. [21] A recent review found that women afflicted with coronary heart disease are generally older and have more cardiovascular risks than men with coronary heart disease. While men have nearly twice the incidence of coronary heart disease and related mortality, women experience more incidence at increasing age. [22]

Women also have higher rates of autoimmune disorders than men; one hypothesis for this is that testosterone facilitates immunosuppression in men, decreasing the likelihood men create autoantibodies that can target their own bodies, leading to autoimmune disease. [6]

Most countries report higher rates of chronic kidney disease (CKD) in women compared to men. [23] However, the difference in CKD rates may be due to the longer life expectancy of women, as kidney function declines with age. [23] Although more women are diagnosed with CKD, among individuals diagnosed with CKD who are not on dialysis treatment, the men exhibit greater mortality rates compared to women. Studies investigating sex differences in kidney disease have suggested that men lose kidney function faster than women. [23] It is hypothesized that this may be due to the protective effects of estrogens and the harmful effects of testosterone on the kidneys, or due to lifestyle differences between men and women. [24]

Biological factors

Proposed explanations for the paradox range from genetic, hormonal, and physiological processes unique to females and males.

Genetic factors

The female sex has two X chromosomes that can protect against expression of recessive genes and allows a female survival advantage. [25] A research study conducted on flies indicated that the alleles that contribute to male inclusive fitness also harm female health, and thus contribute to the paradox. [26]

Physiological factors

It is also a possibility that the female hormone, estrogen, contributes to the female survival advantage. [27] [28] [6] In cutaneous melanoma, estrogen was evaluated to determine its effect on a steroid hormone-sensitive cancer. While no difference in survival was concluded between two genders due to limited data, women tend to have better prognosis due to the presence of estrogen receptor beta. However, this is a continued study that may be due to biological factors—such as immune response, inflammation, pharmacokinetics, or hormones—or from social factors—such as women tending to have more ultraviolet protection and frequent medical visits. [29]

Although studies have shown the protective effects of estrogen on cardiovascular health (i.e. by lowering LDL and increasing HDL) and brain cell health, there are doubts about the role of hormones due to mixed results in hormone replacement therapy studies on elderly women. [6] For instance, although lower levels of LDL may prevent atherosclerotic buildup which can lead to chronic heart disease, estrogen may overall elevate chronic heart disease in older women with advanced plaque buildup by causing thrombosis. [6]

Women can store excess high-density lipoproteins, which most likely slows the progression of plaque growth. [30] Interestingly, calcium metabolism may contribute to the female mortality advantage. After age 35, where the human skeleton grows to its maximum size, calcium buildup increases significantly due to constant release from a deteriorating skeleton, less exercise for calcium release via sweating, and continued dietary intake. Consequently, excess calcium deposits in soft tissues, causing stiffening of arteries and higher blood pressure, leading to cardiovascular disease. [31] For women, however, calcium influx can halt or be reversed during pregnancy and lactation. Women can also release calcium via menstrual cycle until menopause. [30]

Women additionally have lower mortality rates in high-mortality conditions like famine and epidemics. In such conditions, most of the advantage comes from differences in infant mortality rates. [32]

Social factors

Another possible explanation of the paradox is a social expectation of the female sex role, making women more willing to seek medical help sooner. [6] There is mixed evidence on the role of help-seeking and reporting behavior, with some studies reporting that women are more likely to seek and report medical treatment for all symptoms, while others report that women only tend to seek more treatment on malaise-type symptoms. [6]

As child bearers, females face maternal mortality, which peaked between 1900 and the 1930s. At the time, aseptic technique was not widely practiced, including during child delivery, abortions, and associated surgical procedures. Obstetrics was also a poorly regarded medical specialty where practitioners were poorly trained, if at all. In the early 1930s, hospitals in the United States began establishing rigorous physician qualification and practice guidelines to ensure sufficiently trained obstetricians, application of aseptic technique, and safe and effective deliveries. Other medical advancements, including antibiotic use, blood transfusions, and improved medication management during pregnancy, also improved maternal mortality. Collectively, these improvements reduced maternal mortality by 71%. [33] However, the significant decrease in maternal mortality during this period only accounted for 14% of the longevity difference between females and males. [34]

Psychological factors

A study conducted in the United States (US) consisting of 9,000 participants determined that women have a 1.5 times greater risk of experiencing a mood disorder compared to men. [35] Additionally, a 2006 study examining mental health in New Zealand found that lifetime rates for major depression are higher in women (20.3%) compared to men (11.4%). [35] Not only do women experience a greater preponderance of depression compared to men, they also experience greater severity of symptoms. [36] [37] The symptoms that women experienced with greater severity included weight gain and increased appetite, greater interpersonal sensitivity, and reduced energy. [37] Women also experience onset of depression at an earlier age, and experience more years of depression when compared to men. [37]

Female survival advantage

Difference in average female and male life expectancy according to WHO for 2019. Comparison gender life expectancy WHO.svg
Difference in average female and male life expectancy according to WHO for 2019.

Records of the female survival advantage can be traced back to the 18th century, but the phenomenon gained popularity and caught the eyes of researchers in the 19th century. Females outlive males for all age groups and every year for which reliable records exist. [38] [39] Specifically, in "contemporary industrialized countries", female survival is 1.5-2.0 times higher than that of males. [25]

A female survival advantage is found in some, but not all species. Various explanations for this have been proposed but none are strongly supported. [40] Most species studied for differences in morbidity and mortality between sexes show conditional sex differences in life span, with both male and females experiencing advantage depending on the species. In humans, females appear to have a consistent survival advantage. Females outlive males in 176 of 178 countries for which records are available, both at age 5 and at age 50. [41] In a study in the UK, males scoring higher "femininity scores", when compared to their more stereotypical "masculine" male counterparts, had lower death rates from heart disease, suggesting that masculine behavior increases the risk of premature mortality. [6]

The female survival advantage holds true among humans, but the same can not be said for baboons [42] [41] and birds. [43] In a study conducted on Amboseli baboons, it was found that although females outlive their male counterparts, both sexes had either similar rates of age-related declines in health, or greater health declines in males compared to females. [42] In another study focused on Eurasian Blackbirds found lower survival in females due to more passive phenotypes that increased predation susceptibility. [43]

A significant biological factor that may contribute to the female survival advantage is the difference in sex chromosome composition in males and females. The male sex is biologically defined by having one Y sex chromosome, and is heterogametic, while females only have X chromosomes. Typically females have two X chromosomes, one active and one inactive, that can compensate one another for X chromosome gene mutations. In a longitudinal study following identical female twins and changes in X chromosome inactivation, skewed X chromosome inactivation patterns present at later stages of life suggested homologous sex chromosomes to benefit survival. Without multiple X chromosomes, males are more susceptible to X-linked diseases, or the effects of X chromosome mutations. These X-linked diseases include color blindness, hemophilia, and Duchenne muscular dystrophy. [25]

Male morbidity advantage

Although males experience greater mortality, they appear to have the advantage of lower morbidity. Females tend to report poorer health and more hospital visits than males. [40] Females also have a greater tendency to develop psychological disorders compared to males. [6] Females spend more years in good health than males; however, females spend more years in poor health than males as a proportion of their life expectancy. This implies that the male morbidity advantage is linked to the female survival advantage. [15] [44]

Potential bias

Data collected from a research study in Denmark indicated that the paradox is likely due, in part, to selection bias. [45] Females have higher preferences for absenteeism. On average, they are absent from work for health reasons more often than males, including when they do not have objectively worse health. [46]

It may also be a possibility that under-reporting and selective non-participation of health problems, and delaying medical attention and treatment may make it appear that males have less medical problems than females. [6] Misperceptions, such as females being more protected from cardiovascular diseases, may contribute to the morbidity-mortality paradox; females tend to have less aggressive treatment regimens, shown by having lower diagnostic angiograms and interventional procedures when compared to males. [22]

Researchers also suggest that because males have been shown to have an increased likelihood of suddenly dying, females may appear to have higher incidence of morbidity when surveyed in research studies; in other words, females tend to outlive males, and the females carry diseases that are counted as morbidity in studies while males die earlier from these morbidities and leave healthier male counterparts in the study, which makes it appear that they have lower morbidity than females. [4] [47] However, in a systematic review encompassing over 37,000 adults from developed and developing countries, this confounder appeared to be discredited since females experienced higher frailty index scores (used as a surrogate to measure morbidity) than males for any age group. [7]

Statistics

See also

Related Research Articles

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<span class="mw-page-title-main">Cardiovascular disease</span> Class of diseases that involve the heart or blood vessels

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References

  1. "Life expectancy and Healthy life expectancy, data by country". World Health Organization. 4 December 2020.
  2. 1 2 3 4 5 6 7 8 9 10 Gordon, Emily H; Hubbard, Ruth E (2020). "Differences in frailty in older men and women". Medical Journal of Australia. 212 (4): 183–188. doi:10.5694/mja2.50466. ISSN   0025-729X. PMID   31886526. S2CID   209511129.
  3. Oksuzyan, Anna; Juel, Knud; Vaupel, James W.; Christensen, Kaare (2008). "Men: good health and high mortality. Sex differences in health and aging". Aging Clinical and Experimental Research. 20 (2): 91–102. doi:10.1007/BF03324754. ISSN   1720-8319. PMC   3629373 . PMID   18431075.
  4. 1 2 3 4 5 6 Barford, Anna; Dorling, Danny; Davey Smith, George; Shaw, Mary (2006). "Life expectancy: women now on top everywhere". BMJ (Clinical Research Ed.). 332 (7545): 808. doi:10.1136/bmj.332.7545.808. ISSN   1756-1833. PMC   1432200 . PMID   16601021.
  5. 1 2 3 4 Goldin, Claudia; Lleras-Muney, Adriana (2019). "XX > XY?: The changing female advantage in life expectancy". Journal of Health Economics. 67: 102224. doi:10.1016/j.jhealeco.2019.102224. ISSN   0167-6296. PMID   31442698. S2CID   201632122.
  6. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Oksuzyan, Anna; Juel, Knud; Vaupel, James W.; Christensen, Kaare (2008). "Men: good health and high mortality. Sex differences in health and aging". Aging Clinical and Experimental Research. 20 (2): 91–102. doi:10.1007/BF03324754. ISSN   1594-0667. PMC   3629373 . PMID   18431075.
  7. 1 2 Gordon, E.H.; Peel, N.M.; Samanta, M.; Theou, O.; Howlett, S.E.; Hubbard, R.E. (2017). "Sex differences in frailty: A systematic review and meta-analysis". Experimental Gerontology. 89: 30–40. doi:10.1016/j.exger.2016.12.021. PMID   28043934. S2CID   4652963.
  8. Erol, Almila; Karpyak, Victor M. (2015). "Sex and gender-related differences in alcohol use and its consequences: Contemporary knowledge and future research considerations". Drug and Alcohol Dependence. 156: 1–13. doi:10.1016/j.drugalcdep.2015.08.023. PMID   26371405.
  9. McHugh, R. Kathryn; Votaw, Victoria R.; Sugarman, Dawn E.; Greenfield, Shelly F. (2012). "Sex and gender differences in substance use disorders". Clinical Psychology Review. 66: 12–23. doi:10.1016/j.cpr.2017.10.012. PMC   5945349 . PMID   29174306.
  10. Case, Anne; Paxson, Christina (2005). "Sex differences in morbidity and mortality". Demography. 42 (2): 189–214. doi: 10.1353/dem.2005.0011 . ISSN   0070-3370. PMID   15986983. S2CID   1112587.
  11. Smith, Philip H.; Bessette, Andrew J.; Weinberger, Andrea H.; Sheffer, Christine E.; McKee, Sherry A. (2016). "Sex/gender differences in smoking cessation: A review". Preventive Medicine. 92: 135–140. doi:10.1016/j.ypmed.2016.07.013. PMC   5085924 . PMID   27471021.
  12. Bilal, Usama; Beltrán, Paula; Fernández, Esteve; Navas-Acien, Ana; Bolumar, Francisco; Franco, Manuel (2016). "Gender equality and smoking: a theory-driven approach to smoking gender differences in Spain". Tobacco Control. 25 (3): 295–300. doi:10.1136/tobaccocontrol-2014-051892. ISSN   0964-4563. PMID   25701858. S2CID   1829663.
  13. Smith, P. H.; Kasza, K. A.; Hyland, A.; Fong, G. T.; Borland, R.; Brady, K.; Carpenter, M. J.; Hartwell, K.; Cummings, K. M.; McKee, S. A. (2015). "Gender Differences in Medication Use and Cigarette Smoking Cessation: Results From the International Tobacco Control Four Country Survey". Nicotine & Tobacco Research. 17 (4): 463–472. doi:10.1093/ntr/ntu212. ISSN   1462-2203. PMC   4402353 . PMID   25762757.
  14. Bolego, C (2002). "Smoking and gender". Cardiovascular Research. 53 (3): 568–576. doi: 10.1016/S0008-6363(01)00520-X . PMID   11861027.
  15. 1 2 Hossin, Muhammad Zakir (2021). "The male disadvantage in life expectancy: can we close the gender gap?". International Health. 13 (5): 482–484. doi:10.1093/inthealth/ihaa106. ISSN   1876-3413. PMC   7928849 . PMID   33533409.
  16. Chloe E. Bird, Patricia P. Rieker. "Gender and Health: The Effects of Constrained Choices and Social Policies". page 1.
  17. MacIntyre, Sally; Hunt, Kate; Sweeting, Helen (1996). "Gender differences in health: Are things really as simple as they seem?". Social Science & Medicine. 42 (4): 617–624. doi:10.1016/0277-9536(95)00335-5. PMID   8643986.
  18. Kulminski, Alexander M.; Culminskaya, Irina V.; Ukraintseva, Svetlana V.; Arbeev, Konstantin G.; Land, Kenneth C.; Yashin, Anatoli I. (2008). "Sex-specific health deterioration and mortality: The morbidity–mortality paradox over age and time". Experimental Gerontology. 43 (12): 1052–1057. doi:10.1016/j.exger.2008.09.007. PMC   2703431 . PMID   18835429.
  19. Beltrán-Sánchez, Hiram; Finch, Caleb E.; Crimmins, Eileen M. (2015). "Twentieth century surge of excess adult male mortality". Proceedings of the National Academy of Sciences. 112 (29): 8993–8998. Bibcode:2015PNAS..112.8993B. doi: 10.1073/pnas.1421942112 . PMC   4517277 . PMID   26150507.
  20. Eskes, Tom; Haanen, Clemens (2007). "Why do women live longer than men?". European Journal of Obstetrics & Gynecology and Reproductive Biology. 133 (2): 126–133. doi:10.1016/j.ejogrb.2007.01.006. PMID   17324494.
  21. Möller-Leimkühler, Anne M. (2007). "Gender differences in cardiovascular disease and comorbid depression". Dialogues in Clinical Neuroscience. 9 (1): 71–83. doi:10.31887/DCNS.2007.9.1/ammoeller. PMC   3181845 . PMID   17506227.
  22. 1 2 Gao, Zujie; Chen, Zengsheng; Sun, Anqiang; Deng, Xiaoyan (2019). "Gender differences in cardiovascular disease". Medicine in Novel Technology and Devices. 4: 100025. doi: 10.1016/j.medntd.2019.100025 . ISSN   2590-0935.
  23. 1 2 3 Eriksen, B.O.; Ingebretsen, O.C. (2006). "The progression of chronic kidney disease: A 10-year population-based study of the effects of gender and age". Kidney International. 69 (2): 375–382. doi: 10.1038/sj.ki.5000058 . PMID   16408129.
  24. Carrero, Juan Jesus; Hecking, Manfred; Chesnaye, Nicholas C.; Jager, Kitty J. (2018). "Sex and gender disparities in the epidemiology and outcomes of chronic kidney disease". Nature Reviews Nephrology. 14 (3): 151–164. doi:10.1038/nrneph.2017.181. ISSN   1759-5061. PMID   29355169. S2CID   3879383.
  25. 1 2 3 Christensen, K.; Orstavik, K. H.; Vaupel, J. W. (2001). "The X chromosome and the female survival advantage: an example of the intersection between genetics, epidemiology and demography". Annals of the New York Academy of Sciences. 954: 175–183. doi:10.1111/j.1749-6632.2001.tb02752.x. ISSN   0077-8923. PMID   11797856. S2CID   12624.
  26. Archer, C. Ruth; Recker, Mario; Duffy, Eoin; Hosken, David J. (2018). "Intralocus sexual conflict can resolve the male-female health-survival paradox". Nature Communications. 9 (1): 5048. Bibcode:2018NatCo...9.5048A. doi:10.1038/s41467-018-07541-y. PMC   6261961 . PMID   30487539.
  27. Waldron, Ingrid; Johnston, Susan (1976). "Why do Women Live Longer than Men?". Journal of Human Stress. 2 (2): 19–30. doi:10.1080/0097840X.1976.9936063. PMID   1018115.
  28. Johansson, S. (1989). "Longevity in women". Cardiovascular Clinics. 19 (3): 3–16. PMID   2644037.
  29. Dika, Emi; Patrizi, Annalisa; Lambertini, Martina; Manuelpillai, Nicholas; Fiorentino, Michelangelo; Altimari, Annalisa; Ferracin, Manuela; Lauriola, Mattia; Fabbri, Enrica; Campione, Elena; Veronesi, Giulia (November 2019). "Estrogen Receptors and Melanoma: A Review". Cells. 8 (11): 1463. doi: 10.3390/cells8111463 . PMC   6912660 . PMID   31752344.
  30. 1 2 Seely, Stephen (1990). "The gender gap: Why do women live longer than men?". International Journal of Cardiology. 29 (2): 113–119. doi:10.1016/0167-5273(90)90213-O. PMID   2269531.
  31. Seely, Stephen (1989). "Atherosclerosis or hardening of the arteries?". International Journal of Cardiology. 22 (1): 5–12. doi:10.1016/0167-5273(89)90129-0. ISSN   0167-5273. PMID   2647643.
  32. Zarulli, Virginia; Barthold Jones, Julia A.; Oksuzyan, Anna; Lindahl-Jacobsen, Rune; Christensen, Kaare; Vaupel, James W. (2018). "Women live longer than men even during severe famines and epidemics". Proceedings of the National Academy of Sciences. 115 (4): E832–E840. Bibcode:2018PNAS..115E.832Z. doi: 10.1073/pnas.1701535115 . PMC   5789901 . PMID   29311321.
  33. "Achievements in Public Health, 1900-1999: Healthier Mothers and Babies". www.cdc.gov. Retrieved 2021-07-31.
  34. Albanesi, Stefania; Olivetti, Claudia (2016). "Gender Roles and Medical Progress". Journal of Political Economy. 124. Cambridge, MA. doi: 10.3386/w14873 .
  35. 1 2 Parker, Gordon; Brotchie, Heather (October 2010). "Gender differences in depression". International Review of Psychiatry. 22 (5): 429–436. doi:10.3109/09540261.2010.492391. ISSN   0954-0261. PMID   21047157. S2CID   36972400.
  36. Eid, Rand S.; Gobinath, Aarthi R.; Galea, Liisa A.M. (May 2019). "Sex differences in depression: Insights from clinical and preclinical studies". Progress in Neurobiology. 176: 86–102. doi:10.1016/j.pneurobio.2019.01.006. PMID   30721749. S2CID   72332492.
  37. 1 2 3 Kessler, Ronald C. (1994). "Lifetime and 12-Month Prevalence of DSM-III-R Psychiatric Disorders in the United States: Results From the National Comorbidity Survey". Archives of General Psychiatry. 51 (1): 8–19. doi:10.1001/archpsyc.1994.03950010008002. ISSN   0003-990X. PMID   8279933.
  38. Austad, Steven N.; Bartke, Andrzej (2015). "Sex Differences in Longevity and in Responses to Anti-Aging Interventions: A Mini-Review". Gerontology. 62 (1): 40–46. doi: 10.1159/000381472 . PMID   25968226.
  39. Thorslund, Mats; Wastesson, Jonas W.; Agahi, Neda; Lagergren, Mårten; Parker, Marti G. (2013). "The rise and fall of women's advantage: a comparison of national trends in life expectancy at age 65 years". European Journal of Ageing. 10 (4): 271–277. doi:10.1007/s10433-013-0274-8. ISSN   1613-9372. PMC   3851807 . PMID   24319404.
  40. 1 2 Austad, Steven N. (2006). "Why women live longer than men: Sex differences in longevity". Gender Medicine. 3 (2): 79–92. doi:10.1016/S1550-8579(06)80198-1. PMID   16860268.
  41. 1 2 Austad, Steven N.; Fischer, Kathleen E. (2016). "Sex Differences in Lifespan". Cell Metabolism. 23 (6): 1022–1033. doi:10.1016/j.cmet.2016.05.019. PMC   4932837 . PMID   27304504.
  42. 1 2 Alberts, Susan C.; Archie, Elizabeth A.; Gesquiere, Laurence R.; Altmann, Jeanne; Vaupel, James W.; Christensen, Kaare (2014). "The Male-Female Health-Survival Paradox: A Comparative Perspective on Sex Differences in Aging and Mortality". In Weinstein, Maxine; Lane, Meredith A. (eds.). Sociality, Hierarchy, Health: Comparative Biodemography: A Collection of Papers. National Academies Press. pp. 339–63. ISBN   978-0-309-30661-4.
  43. 1 2 Post, Peter; Götmark, Frank (2006). "Foraging Behavior and Predation Risk in Male and Female Eurasian Blackbirds (Turdus merula) during the Breeding Season (Le Comportement de Quête Alimentaire et les Risques de Prédation chez Turdus merula au Cours de la Saison de Reproduction)". The Auk. 123 (1): 162–170. doi: 10.1093/auk/123.1.162 . ISSN   0004-8038. JSTOR   4090638.
  44. Hossin, Muhammad Zakir (2021). "The male disadvantage in life expectancy: can we close the gender gap?". International Health. 13 (5): 482–484. doi:10.1093/inthealth/ihaa106. ISSN   1876-3413. PMC   7928849 . PMID   33533409.
  45. Oksuzyan, Anna; Petersen, Inge; Stovring, Henrik; Bingley, Paul; Vaupel, James W.; Christensen, Kaare (2009). "The Male–Female Health–Survival Paradox: A Survey and Register Study of the Impact of Sex-Specific Selection and Information Bias". Annals of Epidemiology. 19 (7): 504–511. doi:10.1016/j.annepidem.2009.03.014. PMC   2696561 . PMID   19457685.
  46. Avdic, Daniel; Johansson, Per (2017). "Absenteeism, Gender and the Morbidity-Mortality Paradox". Journal of Applied Econometrics. 32 (2): 440–462. doi:10.1002/jae.2516.
  47. Collard, Rose M.; Boter, Han; Schoevers, Robert A.; Oude Voshaar, Richard C. (2012). "Prevalence of Frailty in Community-Dwelling Older Persons: A Systematic Review". Journal of the American Geriatrics Society. 60 (8): 1487–1492. doi:10.1111/j.1532-5415.2012.04054.x. PMID   22881367. S2CID   2689519.