Skip to main content

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

  • Chapter
  • First Online:
Early Life Origins of Ageing and Longevity

Part of the book series: Healthy Ageing and Longevity ((HAL,volume 9))

  • 629 Accesses

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.

This chapter is an edited version of a paper, previously published in SSM Population Health 2018; 4:45–54.

This work was supported by the Swedish Research Council.

This chapter is a re-use of the authors’ article in SSM Population Health, published by Elsevier.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 159.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • 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 323:1273–1282

    Article  CAS  Google Scholar 

  • 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 87:111–121

    Article  Google Scholar 

  • BelskyJ Beaveor K (2011) Cumulative-genetic plasticity, parenting and self-regulation. J Child Psychol Psychiatry 52(5):619–626

    Article  Google Scholar 

  • Cassel J (1974) An epidemiological perspective of psychosocial factors in disease etiology. Am J Public Health 64:1040–1043

    Article  CAS  Google Scholar 

  • Cassel J (1976) The contribution of the social environment to host resistance: the Fourth Wade Hampton Frost Lecture. Am J Public Health 104:107–123

    CAS  Google Scholar 

  • Charney D (2004) Psychobiological mechanisms of resilience and vulnerability: implications for successful adaption to extreme stress. Am J Psychiatry 161:195–216

    Article  Google Scholar 

  • 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) 8:1844–1859

    Article  CAS  Google Scholar 

  • Christensen K, Johnson TE, Vaupel JW (2006) The quest for genetic determinants of human longevity: challenges and insights. Nat Rev Genet 7:436–448

    Article  CAS  Google Scholar 

  • De Stavola B, Leon D, Koupil I (2011) Intergenerational correlations in size at birth and the contribution of environmental factors. Am J Epidemiol 174:52–62

    Article  Google Scholar 

  • 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, e82031

    Article  Google Scholar 

  • 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 66:1–7

    Article  Google Scholar 

  • 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 68:408–415

    Article  Google Scholar 

  • Galton F (1886) Regression towards mediocrity in hereditary stature. J Anthropol Inst Great Britain Ireland 15:246–263

    Article  Google Scholar 

  • Garmezy B (1993) Children in poverty. Resilience despite risk. Psychiatry 56(1):127–136

    CAS  PubMed  Google Scholar 

  • 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 359:61–73

    Article  CAS  Google Scholar 

  • 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 8:743–749

    Article  CAS  Google Scholar 

  • 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 47:247–283

    Article  Google Scholar 

  • Hemström Ö (1998) Male susceptibility and female emancipation. Studies on the gender difference in mortality. Stockholm University, Stockholm

    Google Scholar 

  • Hertzman C, Boyce T (2010) How experience gets under the skin to create gradients in developmental health. Annu Rev Publ Health 31:329–347

    Article  Google Scholar 

  • Hjelmborg JV, Iachine I, Skytthe A, Vaupel JW, McGue M, Koskenvuo M, Christensen K (2006) Genetic influence on human lifespan and longevity. Hum Genet 119:312–321

    Article  Google Scholar 

  • 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) 7:1159–1170

    Article  CAS  Google Scholar 

  • 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 60:55–71

    Article  CAS  Google Scholar 

  • 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 70:569–575

    Article  Google Scholar 

  • Kermack WO, McKendrick AG, McKinlay PL (2001) Death-rates in Great Britain and Sweden. Some general regularities and their significance. Int J Epidemiol 30:678–683

    Article  CAS  Google Scholar 

  • Kowald A, Kirkwood T (2016) Can aging be programmed? A critical literature review. Aging Cell 15:986–998

    Article  CAS  Google Scholar 

  • 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 3:101–128

    Article  Google Scholar 

  • Marsland A (2017) The cost of childhood disadvantage for future generations. Brain Behav Immun 65:9–10

    Article  Google Scholar 

  • Meaney M (2001) Maternal care, gene expression and the transmission of individual differences in stress reactivity across generations. Annu Rev Neurosci 24:1161–1192

    Article  CAS  Google Scholar 

  • 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 3:684–698

    Article  Google Scholar 

  • Miller G, Chen E (2013) The biological residue of childhood poverty. Child Dev Perspect 7:67–73

    Article  Google Scholar 

  • Miller G, Yu T, Chen E, Brody G (2015) Self-control forecasts better psychological outcomes but faster epigenetic aging in low-SES youth. PNAS 112:10325–10330

    Article  CAS  Google Scholar 

  • 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 54:1051–1064

    Article  Google Scholar 

  • 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 66:822–834

    Article  Google Scholar 

  • 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 68:1633–1640

    Article  Google Scholar 

  • 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 30:75–80

    Article  CAS  Google Scholar 

  • 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 58:571–573

    Article  CAS  Google Scholar 

  • 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 25:389–396

    Article  Google Scholar 

  • Pal S, Tyler JK (2016) Epigenetics and aging. Sci Adv 2:e1600584

    PubMed  Google Scholar 

  • 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 356:1185–1188

    Article  Google Scholar 

  • 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 2:708–717

    Article  Google Scholar 

  • 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 35:105–119

    Google Scholar 

  • Rando O (2016) Intergenerational transfer of epigenetic information in sperm. CSH Perspect Med 6:a022988

    Google Scholar 

  • Rose G (1985) Sick individuals and sick populations. Int J Epidemiol 14(1):32–38

    Article  CAS  Google Scholar 

  • Rutter M (2006) Implications of resilience concepts for scientific understanding. Ann NY Acad Sci 1094:1–12

    Article  Google Scholar 

  • Sharma A (2017) Transgenerational epigenetics: integrating soma to germ line communication with gametic inheritance. Mech Aging Dev 163:15–22

    Article  Google Scholar 

  • Shen K, Zeng Y (2010) The association between resilience and survival among Chinese elderly. Demogr Res 23:105–116

    Article  Google Scholar 

  • 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 150:192–200

    Article  Google Scholar 

  • 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 46:549–558

    Google Scholar 

  • Smits J, Monden C (2009) Length of life inequality around the globe. Soc Sci Med 68:1114–1123

    Article  Google Scholar 

  • Sternberg SA, Schwartz AW, Karunananthan S, Bergman H, Clarfield AM (2011) The Identification of Frailty: A Systematic Literature Review. J Am Geriatr Soc 59:2129–2138

    Article  Google Scholar 

  • 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 20:781–96

    Article  CAS  Google Scholar 

  • 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 22:201–222

    Article  Google Scholar 

  • Syme L, Berkman L (1976) Social class, susceptibility and sickness. Am J Epidemiol 104:1–8

    Article  CAS  Google Scholar 

  • Vaiserman AM (2012) Transgenerational inheritance of longevity: an epigenetic phenomenon. J Gerontol Geriatr Res 1:e116

    Article  Google Scholar 

  • Vågerö D, Norell SE (1989) Mortality and social class in Sweden - exploring a new epidemiological tool. Scand J Soc Med 17:49–58

    Article  Google Scholar 

  • 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 4:45–54

    Article  Google Scholar 

  • 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

  • Vaupel JW, Carey JR, Christensen K, Johnson TE, Yashin AI, Holm NV, Longo VD (1998) Biodemographic trajectories of longevity. Science 280:855–860

    Article  CAS  Google Scholar 

  • Vaupel JW, Manton KG, Stallard E (1979) Impact of heterogeneity in individual frailty on the dynamics of mortality. Demography 16:439–454

    Article  CAS  Google Scholar 

  • 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 269:441–451

    Article  CAS  Google Scholar 

  • Williams G (1957) Pleiotropy, natural selection and senescence. Evolution 11:398–411

    Article  Google Scholar 

  • Windle G (2011) What is resilience? A review and concept analysis. Rev Clin Gerontol 21:152–169

    Article  Google Scholar 

  • Zeng Y, Shen K (2010) Resilience significantly contributes to exceptional longevity. Curr Gerontol Geriatr Res, 1–9

    Article  Google Scholar 

Download references

Acknowledgements

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

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Denny Vågerö .

Editor information

Editors and Affiliations

Ethics declarations

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

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Vågerö, D., Aronsson, V., Modin, B. (2019). Why Is Parental Lifespan Linked to Children’s Chances of Reaching a High Age? A Transgenerational Hypothesis. In: Vaiserman, A. (eds) Early Life Origins of Ageing and Longevity. Healthy Ageing and Longevity, vol 9. Springer, Cham. https://doi.org/10.1007/978-3-030-24958-8_13

Download citation

Publish with us

Policies and ethics