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Why Is Parental Lifespan Linked to Children’s Chances of Reaching a High Age? A Transgenerational Hypothesis

  • Denny VågeröEmail author
  • Vanda Aronsson
  • Bitte Modin
Chapter
Part of the Healthy Ageing and Longevity book series (HAL, volume 9)

Abstract

Transgenerational determinants of longevity are poorly understood. We studied four linked generations (G0, G1, G2 and G3) of the Uppsala Birth Cohort Multigeneration Study to address this issue. Mortality in G1 (N = 9,565) was followed 1961–2015 and analysed by their parents’ (G0) age-at-death using Cox regression. For an almost entirely deceased segment of G1 (n = 1,149), born 1915–1917, we compared exact age-at-death with G0 parents’ age-at-death. Finally, we explored ‘resilience’ as a potential mechanism for intergenerational transmission of longevity, using conscript information from psychological interviews of G2 and G3 men. G0 men’s and women’s ages-at-death were independently associated with G1 midlife and old age mortality. We observed an increased lifespan in all social groups. Median difference in age-at-death for sons compared to fathers was +3.9 years, and +6.9 years for daughters compared to mothers. Parents’ and maternal grandmother’s longevity were associated with resilience in subsequent generations. Resilience scores of G2 men were also associated with those of their G3 sons and with their own mortality in midlife. We conclude that chances of reaching a high age are transmitted from parents to children in a modest, but robust way. Longevity inheritance is paralleled by the inheritance of individual resilience. Individual resilience, we propose, develops in the first part of life as a response to adversity and early experience in general. This transgenerational pathway is distinct from social class trajectories. A theory of longevity inheritance should bring together previous thinking around general susceptibility, frailty and resilience with new insights from epigenetics and social epidemiology.

Keywords

Uppsala multigeneration study Parental lifespan Transgenerational hypothesis Age-at-death Intergenerational transmission of longevity 

Notes

Acknowledgements

Kristiina Rajaleid and Stefan Fors gave valuable comments. Klara Abrahamsson helped us to collect birth and death data for generation 0.

Ethical Permission

was granted by Stockholm Regional Ethics Board (2015/904-31/5; 2016/933-32).

References

  1. Barker D, Forsen T, Uutela A, Osmond C, Eriksson J (2001) Size at birth and resilience to effects of poor living conditions in adult life: longitudinal study. BMJ 323:1273–1282CrossRefGoogle Scholar
  2. Beach SRH, Lei MK, Brody GH, Kim S, Barton AW, Dogan MV (2016) Parenting, SES-risk and later young adult health: exploration of opposing indirect effects via DNA methylation. Child Dev 87:111–121CrossRefGoogle Scholar
  3. BelskyJ Beaveor K (2011) Cumulative-genetic plasticity, parenting and self-regulation. J Child Psychol Psychiatry 52(5):619–626CrossRefGoogle Scholar
  4. Cassel J (1974) An epidemiological perspective of psychosocial factors in disease etiology. Am J Public Health 64:1040–1043CrossRefGoogle Scholar
  5. Cassel J (1976) The contribution of the social environment to host resistance: the Fourth Wade Hampton Frost Lecture. Am J Public Health 104:107–123Google Scholar
  6. Charney D (2004) Psychobiological mechanisms of resilience and vulnerability: implications for successful adaption to extreme stress. Am J Psychiatry 161:195–216CrossRefGoogle Scholar
  7. Chen BH, Marioni RE, Colicino E, Peters MJ, Ward-Caviness CK, Tsai P, Bressler CJ (2016) DNA methylation-based measures of biological age: meta-analysis predicting time to death. Aging (Albany NY) 8:1844–1859CrossRefGoogle Scholar
  8. Christensen K, Johnson TE, Vaupel JW (2006) The quest for genetic determinants of human longevity: challenges and insights. Nat Rev Genet 7:436–448CrossRefGoogle Scholar
  9. De Stavola B, Leon D, Koupil I (2011) Intergenerational correlations in size at birth and the contribution of environmental factors. Am J Epidemiol 174:52–62CrossRefGoogle Scholar
  10. Falkstedt D, Sorjonen K, Hemmingsson T, Deary I, Melin B (2013) Psychosocial functioning and intelligence both partly explain socioeconomic differences in premature death. A population based male cohort study. PLOS One, 8, e82031CrossRefGoogle Scholar
  11. Fors S, Modin B, Koupil I, Vågerö D (2012) Socioeconomic inequalities in circulatory and all-cause mortality after retirement: the impact of mid-life income and old-age pension. Evidence from the Uppsala Birth Cohort study. J Epidemiol Commun Health 66:1–7CrossRefGoogle Scholar
  12. Franklin TB, Russig H, Weiss IC, Gräff J, Linder N, Michalon A, Mansuy IM, (2010) Epigenetic transmission of the impact of earl stress across generations. Biol Psychiatr 68:408–415CrossRefGoogle Scholar
  13. Galton F (1886) Regression towards mediocrity in hereditary stature. J Anthropol Inst Great Britain Ireland 15:246–263CrossRefGoogle Scholar
  14. Garmezy B (1993) Children in poverty. Resilience despite risk. Psychiatry 56(1):127–136PubMedGoogle Scholar
  15. Gluckman PD, Hanson MA, Cooper C, Thornburg KL (2008) Effect of in utero and early-life conditions on adult health and disease. New Engl J Med 359:61–73CrossRefGoogle Scholar
  16. Gudmundsson H, Gudbjartsson DF, Kong A, Gudbjartsson H, Frigge M, Gulcher JR, Stefansson K (2000) Inheritance of human longevity in Iceland. Eur J Human Genetics 8:743–749CrossRefGoogle Scholar
  17. Heckman J, Borjas G (1980) Does unemployment cause future unemployment? Definitions, questions and answers from a continuous time model of heterogeneity and state dependence. Economica 47:247–283CrossRefGoogle Scholar
  18. Hemström Ö (1998) Male susceptibility and female emancipation. Studies on the gender difference in mortality. Stockholm University, StockholmGoogle Scholar
  19. Hertzman C, Boyce T (2010) How experience gets under the skin to create gradients in developmental health. Annu Rev Publ Health 31:329–347CrossRefGoogle Scholar
  20. Hjelmborg JV, Iachine I, Skytthe A, Vaupel JW, McGue M, Koskenvuo M, Christensen K (2006) Genetic influence on human lifespan and longevity. Hum Genet 119:312–321CrossRefGoogle Scholar
  21. Horvath S, Pirazzini C, Bacalini MG, Gentilini D, Di Blasio AM, Delledonne M, Rango De F (2015) Decreased epigenetic age from Italian semi-supercentenarians and their offspring. Aging (Albany NY) 7:1159–1170CrossRefGoogle Scholar
  22. Hurt LS, Ronsmans C, Thomas SL (2006) The effect of number of births on women’s mortality: systematic review of the evidence for women who have completed their childbearing. Population Studies 60:55–71CrossRefGoogle Scholar
  23. Juarez SP, Goodman A, Koupil I (2016) From cradle to grave: tracking socioeconomic inequalities in mortality in a cohort of 11 868 men and women born in Uppsala, Sweden, 1915-1929. J Epidemiol Community Health 70:569–575CrossRefGoogle Scholar
  24. Kermack WO, McKendrick AG, McKinlay PL (2001) Death-rates in Great Britain and Sweden. Some general regularities and their significance. Int J Epidemiol 30:678–683CrossRefGoogle Scholar
  25. Kowald A, Kirkwood T (2016) Can aging be programmed? A critical literature review. Aging Cell 15:986–998CrossRefGoogle Scholar
  26. Lindqvist E, Vestman R (2011) The labor market returns to cognitive and non-cognitive ability: evidence from the Swedish enlistment. American Economic Journal-Applied Economics 3:101–128CrossRefGoogle Scholar
  27. Marsland A (2017) The cost of childhood disadvantage for future generations. Brain Behav Immun 65:9–10CrossRefGoogle Scholar
  28. Meaney M (2001) Maternal care, gene expression and the transmission of individual differences in stress reactivity across generations. Annu Rev Neurosci 24:1161–1192CrossRefGoogle Scholar
  29. Merlo J, Mulinari S, Wemrell M, Subramanian S, Hedblad B (2017) The tyranny of the averages and the indiscriminate use of risk factors in public health: the case of coronary heart disease. SSM Population Health 3:684–698CrossRefGoogle Scholar
  30. Miller G, Chen E (2013) The biological residue of childhood poverty. Child Dev Perspect 7:67–73CrossRefGoogle Scholar
  31. Miller G, Yu T, Chen E, Brody G (2015) Self-control forecasts better psychological outcomes but faster epigenetic aging in low-SES youth. PNAS 112:10325–10330CrossRefGoogle Scholar
  32. Modin B (2002) Birth order and mortality: a life-long follow-up of 14,200 boys and girls born in early 20th century Sweden. Soc Sci Med 54:1051–1064CrossRefGoogle Scholar
  33. Modin B, Vågerö D, Hallqvist J, Koupil I (2008) The contribution of parental and grandparental childhood social disadvantage to circulatory disease diagnosis in young Swedish men. Soc Sci Med 66:822–834CrossRefGoogle Scholar
  34. Modin B, Koupil I, Vågerö D (2009) The impact of early twentieth century illegitimacy across three generations. Longevity and intergenerational health correlates. Soc Sci Med 68:1633–1640CrossRefGoogle Scholar
  35. Nilsson PM, Nyberg P, Östergren P-O (2001) Increased susceptibility to stress at a psychological assessment of stress tolerance is associated with impaired fetal growth. Int J Epidemiol 30:75–80CrossRefGoogle Scholar
  36. Nilsson PM, Nilsson J-Å, Östergren P-O, Rasmussen F (2004) Fetal growth predicts stress susceptibility independent of parental education in 161 991 adolescent Swedish male conscripts. J Epidemiol Comm Health 58:571–573CrossRefGoogle Scholar
  37. Nordahl H, Lange T, Osler M, Diderichsen F, Andersen I, Prescott E, Rod NH (2014) Education and cause-specific mortality: the mediating role of differential exposure and vulnerability to behavioral risk factors. Epidemiology 25:389–396CrossRefGoogle Scholar
  38. Pal S, Tyler JK (2016) Epigenetics and aging. Sci Adv 2:e1600584PubMedGoogle Scholar
  39. Peña CJ, Kronman HG, Walker DM, Cates HM, Bagot RC, Purushothaman I, Goodman E (2017) Early life stress confers lifelong stress susceptibility in mice via ventral tegmental area OTX2. Science 356:1185–1188CrossRefGoogle Scholar
  40. Phillips SP, Auais M, Belanger E, Alvarado B, Zunzunegui M-V (2016) Life course social and economic circumstances, gender and resilience in older adults: the longitudinal international mobility in aging study (IMIAS). SSM Population Health 2:708–717CrossRefGoogle Scholar
  41. Piraino P, Muller S, Cilliers J, Fourie J (2014) The transmission of longevity across generations: the case of the settler Cape Colony. Res Soc Strat Mobil 35:105–119Google Scholar
  42. Rando O (2016) Intergenerational transfer of epigenetic information in sperm. CSH Perspect Med 6:a022988Google Scholar
  43. Rose G (1985) Sick individuals and sick populations. Int J Epidemiol 14(1):32–38CrossRefGoogle Scholar
  44. Rutter M (2006) Implications of resilience concepts for scientific understanding. Ann NY Acad Sci 1094:1–12CrossRefGoogle Scholar
  45. Sharma A (2017) Transgenerational epigenetics: integrating soma to germ line communication with gametic inheritance. Mech Aging Dev 163:15–22CrossRefGoogle Scholar
  46. Shen K, Zeng Y (2010) The association between resilience and survival among Chinese elderly. Demogr Res 23:105–116CrossRefGoogle Scholar
  47. Simons RL, Lei MK, Beach SR, Philibert RA, Cutrona CE, Gibbons FX, Barr A (2016) Economic hardship and biological weathering: the epigenetics of aging in a US sample of black women. Soc Sci Med 150:192–200CrossRefGoogle Scholar
  48. Simpkin AJ, Howe LD, Tilling K, Gaunt TR, Lyttleton O, McArdle WL, Relton CL (2017) The epigenetic clock and physical development during childhood and adolescence: longitudinal analysis from a UK birth cohort. Int J Epidemiol 46:549–558Google Scholar
  49. Smits J, Monden C (2009) Length of life inequality around the globe. Soc Sci Med 68:1114–1123CrossRefGoogle Scholar
  50. Sternberg SA, Schwartz AW, Karunananthan S, Bergman H, Clarfield AM (2011) The Identification of Frailty: A Systematic Literature Review. J Am Geriatr Soc 59:2129–2138CrossRefGoogle Scholar
  51. Stewart JM (2001) The impact of health status on the duration of unemployment spells and the implications for studies of the impact of unemployment on health status. J Health Econom 20:781–96CrossRefGoogle Scholar
  52. Strassman B, Garrard W (2011) Alternatives to the grandmother hypothesis. A meta-analysis of the association between grandparental and grandchild survival in patrilineal populations. Hum Nat 22:201–222CrossRefGoogle Scholar
  53. Syme L, Berkman L (1976) Social class, susceptibility and sickness. Am J Epidemiol 104:1–8CrossRefGoogle Scholar
  54. Vaiserman AM (2012) Transgenerational inheritance of longevity: an epigenetic phenomenon. J Gerontol Geriatr Res 1:e116CrossRefGoogle Scholar
  55. Vågerö D, Norell SE (1989) Mortality and social class in Sweden - exploring a new epidemiological tool. Scand J Soc Med 17:49–58CrossRefGoogle Scholar
  56. Vågerö D, Aronsson V, Modin B (2018a) Why is parental life span linked to children’s chances of reaching a high age? A transgenerational hypothesis. SSM Population Health 4:45–54CrossRefGoogle Scholar
  57. Vågerö D, Pinger P, Aronsson V, van der Berg G (2018b). Paternal grandfather’s access to food predicts all-cause and cancer mortality in grandsons. Nature Commun 9–5124.  https://doi.org/10.1038/s41467-018-07617-9
  58. Vaupel JW, Carey JR, Christensen K, Johnson TE, Yashin AI, Holm NV, Longo VD (1998) Biodemographic trajectories of longevity. Science 280:855–860CrossRefGoogle Scholar
  59. Vaupel JW, Manton KG, Stallard E (1979) Impact of heterogeneity in individual frailty on the dynamics of mortality. Demography 16:439–454CrossRefGoogle Scholar
  60. Wilhelmsen L, Svärdsudd K, Eriksson H, Rosengren A, Hansson PO, Welin C, Welin L (2011) Factors associated with reaching 90 years of age: a study of men born in 1913 in Gothenburg, Sweden. J Intern Med 269:441–451CrossRefGoogle Scholar
  61. Williams G (1957) Pleiotropy, natural selection and senescence. Evolution 11:398–411CrossRefGoogle Scholar
  62. Windle G (2011) What is resilience? A review and concept analysis. Rev Clin Gerontol 21:152–169CrossRefGoogle Scholar
  63. Zeng Y, Shen K (2010) Resilience significantly contributes to exceptional longevity. Curr Gerontol Geriatr Res, 1–9CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.CHESS, Centre for Health Equity Studies, Department of Public Health SciencesStockholm University/Karolinska InstitutetStockholmSweden

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