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Implications of Lifecourse Epidemiology for Research on Determinants of Adult Disease

Abstract

Many diseases commonly associated with aging are now thought to have social and physiologic antecedents in early life. Understanding how the timing of exposure to early life risk factors influences later-life health may illuminate mechanisms driving adult health inequalities and identify possible points for effective interventions. Recognizing chronic diseases as developing across the lifecourse also has implications for the conduct of research on adult risk factors for disease. We review alternative conceptual models that describe how the timing of risk factor exposure relates to the development of disease. We propose some expansions of lifecourse models to improve their relevance for research on adult chronic disease, using the relationship between education and adult cognitive decline and dementia as an example. We discuss the important implications each of the lifecourse conceptual models has on study design, analysis, and interpretation of research on aging and chronic diseases. We summarize several research considerations implied by the lifecourse framework, including: advantages of analyzing change in function rather than onset of impairment; the pervasive challenge of survivor bias; the importance of controlling for possible confounding by early life conditions; and the likely heterogeneity in responses of adults to treatment.

References

  1. 1.

    Barker DJ, Martyn C. The maternal and fetal origins of cardiovascular disease. J Epidemiol Community Health. 1992;46:8–11.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  2. 2.

    Kuh D, Ben-Shlomo Y, (editors). A lifecourse approach to chronic disease epidemiology: Tracing the origins of ill-health from early to adult life. Oxford (UK): Oxford University Press; 1997.

    Google Scholar 

  3. 3.

    Power C, Hertzman C. Social and biological pathways linking early life and adult disease. Br Med Bull. 1997;53:21—22.

  4. 4.

    Galobardes B, Smith GD, Lynch JW. Systematic review of the influence of childhood socioeconomic circumstances on risk for cardiovascular disease in adulthood. Ann Epidemiol. 2006;16:91–104.

    PubMed  Article  Google Scholar 

  5. 5.

    Galobardes B, Lynch JW, Smith GD. Childhood socioeconomic circumstances and cause-specific mortality in adulthood: Systematic review and interpretation. Epidemiol Rev. 2004;26:7–21.

    PubMed  Article  Google Scholar 

  6. 6.

    Pollitt RA, Rose KM, Kaufman JS. Evaluating the evidence for models of life course socioeconomic factors and cardiovascular outcomes: a systematic review. BMC Public Health. 2005;5:7.

    PubMed  PubMed Central  Article  Google Scholar 

  7. 7.

    Berkman LF. Social epidemiology: Social determinants of health in the United States: Are we losing ground? Ann Rev Public Health. 2009;30:27–41.

    Article  Google Scholar 

  8. 8.

    Wilson RS, Hebert LE, Scherr PA, et al. Educational attainment and cognitive decline in old age. Neurology. 2009;72:460.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  9. 9.

    Alley D, Suthers K, Crimmins E. Education and cognitive decline in older Americans: Results from the AHEAD sample. Res Aging. 2007;29:73–94.

    PubMed  PubMed Central  Article  Google Scholar 

  10. 10.

    Karlamangla AS, Miller-Martinez D, Aneshensel CS, Seeman TE, Wight RG, Chodosh J. Trajectories of cognitive function in late life in the United States: Demographic and socioeconomic predictors. Am J Epidemiol. 2009;170:331–42.

    PubMed  PubMed Central  Article  Google Scholar 

  11. 11.

    Stern C, Munn Z. Cognitive leisure activities and their role in preventing dementia: a systematic review. Int J Evid Based Healthc. 2010;8:2–17.

    PubMed  Article  Google Scholar 

  12. 12.

    Whalley LJ, Dick FD, McNeill G. A life-course approach to the aetiology of late-onset dementias. Lancet Neurol. 2006;5:87–96.

    PubMed  Article  Google Scholar 

  13. 13.

    Glymour MM, Manly JJ. Lifecourse social conditions and racial and ethnic patterns of cognitive aging. Neuropsychol Rev. 2008;18:223–54.

    PubMed  Article  Google Scholar 

  14. 14.

    Singh-Manoux A, Richards M, Marmot M. Socioeconomic position across the lifecourse: How does it relate to cognitive function in mid-life? Ann Epidemiol. 2005;15:572–8.

    PubMed  Article  Google Scholar 

  15. 15.

    Turrell G, Lynch JW, Kaplan GA, Everson SA, Helkala EL, Kauhanen J, Salonen JT. Socioeconomic position across the lifecourse and cognitive function in late middle age. J Gerontology B Psychol Sci Soc Sci. 2002;57:S43–51.

    Article  Google Scholar 

  16. 16.

    Wadsworth M. Health inequalities in the life course perspective. Soc Sci Med. 1997;44:859–69.

    CAS  PubMed  Article  Google Scholar 

  17. 17.

    Pearl J. Causality. Cambridge (UK): Cambridge University Press; 2000.

    Google Scholar 

  18. 18.

    Kraemer H, Kazdin A, Offord D, Kessler RC, Jensen PS, Kupfer DJ. Coming to terms with the terms of risk. Arch Gen Psychiatry. 1997;54:337.

    CAS  PubMed  Article  Google Scholar 

  19. 19.

    McEwen BS. Stress, adaptation, and disease: Allostasis and allostatic load. In: McCann SM, Lipton JM, (editors). Annals of the New York Academy of Sciences, Vol 840: Neuroimmunomodulation: Molecular aspects, integrative systems, and clinical advances. New York (NY): New York Academy of Sciences; 1998. p.33–44.

    Google Scholar 

  20. 20.

    Seeman T, Epel E, Grueewald T, Karlamangla A, McEwen BS. Socio-economic differentials in peripheral biology: Cumulative allostatic load. Ann N Y Acad Sci. 2010;1186:223–39.

    PubMed  Article  Google Scholar 

  21. 21.

    Link BG, Phelan J. Social conditions as fundamental causes of disease. J Health Soc Behav. 1995;Spec:80–94.

    Google Scholar 

  22. 22.

    Cowell AJ. The relationship between education and health behavior: some empirical evidence. Health Econ. 2006;15:125–46.

    PubMed  Article  Google Scholar 

  23. 23.

    Gilman SE, Martin LT, Abrams DB, Kawachi I, Kubzansky L, Loucks EB, et al. Educational attainment and cigarette smoking: a causal association? Int J Epidemiol. 2008;37:615–24.

    PubMed  PubMed Central  Article  Google Scholar 

  24. 24.

    Barker DJ. The fetal and infant origins of adult disease. BMJ. 1990;301:1111.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  25. 25.

    Barker DJP, Lackland DT. Prenatal influences on stroke mortality in England and Wales. Stroke. 2003;34:1598–602.

    PubMed  Article  Google Scholar 

  26. 26.

    Fox S, Levitt P, Nelson III C. How the Timing and Quality of Early Experiences Influence the Development of Brain Architecture. Child Dev. 2010;81:28–40.

    PubMed  PubMed Central  Article  Google Scholar 

  27. 27.

    Gale CR, O’Callaghan FJ, Godfrey KM, Law CM, Martyn CN. Critical periods of brain growth and cognitive function in children. Brain. 2004;127:321–9.

    PubMed  Article  Google Scholar 

  28. 28.

    Meaney MJ, Bhatnagar S, Larocque S, McCormick CM, Shanks N, Sharma S, et al. Early environment and the development of individual differences in the hypothalamic-pituitary-adrenal stress response. In: Pfeffer CR, (editor). Severe stress and mental disturbance in children. Washington (DC): American Psychiatric Press, Inc: 1996. p.85–127.

    Google Scholar 

  29. 29.

    Meaney MJ, Aitken DH, Bodnoff SR, Iny LJ, Sapolsky RM. The effects of postnatal handling on the development of the glucocorticoid receptor systems and stress recovery in the rat. Prog Neuropsychopharmacol Biol Psychiatry. 1985;9:731–4.

    CAS  PubMed  Article  Google Scholar 

  30. 30.

    Wang C. Beyond frequencies and coefficients — toward meaningful descriptions for life course epidemiology. Am J Epidemiol. 2006;164:122–5.

    PubMed  Article  Google Scholar 

  31. 31.

    Pampel FC. The Persistence of Educational Disparities in Smoking. Soc Problems. 2009;56:526–42.

    Article  Google Scholar 

  32. 32.

    Doupe A, Kuhl P. Birdsong and human speech: Common themes and mechanisms. Ann Rev Neurosci. 1999;22:567–631.

    CAS  PubMed  Article  Google Scholar 

  33. 33.

    Roshania R, Narayan K, Oza-Frank R. Age at arrival and risk of obesity among US immigrants. Obesity. 2008;16:2669–75.

    PubMed  Article  Google Scholar 

  34. 34.

    Wilkinson A, Spitz M, Strom S, Prokhorov AV, Barcenas CH, Cao Y, et al. Effects of nativity, age at migration, and acculturation on smoking among adult Houston residents of Mexican descent. Am J Public Health. 2005;95:1–43.

    Article  Google Scholar 

  35. 35.

    Mayer KU. New directions in life course research. Ann Rev Sociol. 2009;35: 413–33.

    Article  Google Scholar 

  36. 36.

    Robert CW, William HD. Role of the prenatal environment in the development of obesity. J Pediatr. 1998;132:768–76.

    Article  Google Scholar 

  37. 37.

    Stettler N, Kumanyika SK, Katz SH, Zemel BS, Stallings VA. Rapid weight gain during infancy and obesity in young adulthood in a cohort of African Americans. Am J Clin Nutr. 2003;77:1374–8.

    CAS  PubMed  Google Scholar 

  38. 38.

    Hallqvist J, Lynch J, Bartley M, Lang T, Blane D. Can we disentangle life course processes of accumulation, critical period and social mobility? An analysis of disadvantaged socio-economic positions and myocardial infarction in the Stockholm Heart Epidemiology Program. Soc Sci Med. 2004;58:1555–62.

    PubMed  Article  Google Scholar 

  39. 39.

    Glymour MM. Commentary: Selected samples and nebulous measures: Some methodological difficulties in life-course epidemiology. Int J Epidemiol. 2007;36:566–8.

    PubMed  Article  Google Scholar 

  40. 40.

    Rosvall M, Chaix B, Lynch J, Lindström M, Merlo J. Similar support for three different life course socioeconomic models on predicting premature cardiovascular mortality and all-cause mortality. BMC Public Health. 2006;6:2–3.

    Article  Google Scholar 

  41. 41.

    Tu YK, West R, Ellison GTH, Gilthorpe MS. Why evidence for the fetal origins of adult disease might be a statistical artifact: The “reversal paradox” for the relation between birth weight and blood pressure in later life. Am J Epidemiol. 2005;161:27–32.

    PubMed  Article  Google Scholar 

  42. 42.

    Tu Y, Woolston A, Baxter P, Gilthorpe MS. Assessing the impact of body size in childhood and adolescence on blood pressure: an application of partial least squares regression. Epidemiology. 2010;21:440.

    PubMed  Article  Google Scholar 

  43. 43.

    Winship C, Harding D. A mechanism-based approach to the identification of age-period-cohort models. Soc Meth Res. 2008;36:362.

    Article  Google Scholar 

  44. 44.

    McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM. Clinical diagnosis of Alzheimer’s disease: Report of the NINCDS-ADRDA Work Group* under the auspices of Department of Health and Human Services Task Force on Alzheimer’s Disease. Neurology. 1984;34:939.

    CAS  PubMed  Article  Google Scholar 

  45. 45.

    Hachinski V. Shifts in thinking about dementia. JAMA. 2008;300:2172–3.

    CAS  PubMed  Article  Google Scholar 

  46. 46.

    Jorm A. A method for measuring dementia as a continuum in community surveys. In: Huppert FA, Brayne C, O’Connor DW, (editors). Dementia and normal aging. Cambridge (UK): Cambridge University Press; 1994. p.244–53.

    Google Scholar 

  47. 47.

    McGuire LC, Ford ES, Ajani UA. Cognitive Functioning as a Predictor of Functional Disability in Later Life. Am J Geriatric Psych. 2006;14:36–42.

    Article  Google Scholar 

  48. 48.

    St John PD, Montgomery PR, Kristjansson B, McDowell I. Cognitive scores, even within the normal range, predict death and institutionalization. Age Ageing. 2002;31:373–8.

    PubMed  Article  Google Scholar 

  49. 49.

    Altman DG. Categorizing continuous variables. John Wiley & Sons, Ltd; 2005.

    Google Scholar 

  50. 50.

    Van der Weele TJ, Robins JM. Directed acyclic graphs, sufficient causes, and the properties of conditioning on a common effect. Am J Epidemiol. 2007;166:1–96.

    Article  Google Scholar 

  51. 51.

    Greenland S, Pearl J, Robins JM. Causal diagrams for epidemiologic research. Epidemiology. 1999;10:37–48.

    CAS  PubMed  Article  Google Scholar 

  52. 52.

    Hernán MA, Hernandez-Diaz S, Robins JM. A structural approach to selection bias. Epidemiology. 2004;15:615–25.

    PubMed  Article  Google Scholar 

  53. 53.

    Glymour MM, Greenland S. Causal Diagrams. In: Rothman KJ, Greenland S, Lash TL, (editors). Modern epidemiology. Philadelphia (PA): Lippincott Williams & Wilkins; 2008. p.183–210.

  54. 54.

    Van de Mheen H, Stronks K, Looman C, Mackenbach JP. Does childhood socioeconomic status influence adult health through behavioural factors? Int J Epidemiol. 1998;27:431.

    PubMed  Article  Google Scholar 

  55. 55.

    Lynch J, Kaplan G, Salonen J. Why do poor people behave poorly? Variation in adult health behaviours and psychosocial characteristics by stages of the socioeconomic lifecourse. Soc Sci Med. 1997;44:809–19.

    CAS  PubMed  Article  Google Scholar 

  56. 56.

    Melchior M, Moffitt T, Milne B, Poulton R, Caspi A. Why do children from socioeconomically disadvantaged families suffer from poor health when they reach adulthood? A life-course study. Am J Epidemiol. 2007;166:966–74.

    PubMed  PubMed Central  Article  Google Scholar 

  57. 57.

    Goodman E, McEwen B, Huang B, Dolan LM, Adler NE. Social inequalities in biomarkers of cardiovascular risk in adolescence. Psychosom Med. 2005;67:9.

    PubMed  Article  Google Scholar 

  58. 58.

    Loucks E, Pilote L, Lynch J, et al. Life course socioeconomic position is associated with inflammatory markers: The Framingham Offspring Study. Social Science & Medicine 2010.

    Google Scholar 

  59. 59.

    Dufouil C, Alperovitch A, Tzourio C. Influence of education on the relationship between white matter lesions and cognition. Neurology. 2003;60:831–6.

    CAS  PubMed  Article  Google Scholar 

  60. 60.

    Guralnik JM, Kritchevsky SB. Translating Research to Promote Healthy Aging: The Complementary Role of Longitudinal Studies and Clinical Trials. J Am Geriatr Soc. 2010;58:S337–42.

    PubMed  PubMed Central  Article  Google Scholar 

  61. 61.

    Ashenfelter O, Rouse C. Schooling, intelligence and income in America: Cracks in the bell curve. NBER Working Paper 1999;69–2.

    Google Scholar 

  62. 62.

    Glymour MM, Kawachi I, Jencks CS, Berkman LF. Does childhood schooling affect old age memory or mental status? Using state schooling laws as natural experiments. J Epidemiol Community Health. 2008;62:532–7.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  63. 63.

    Crone DA, Whitehurst GJ. Age and schooling effects on emergent literacy and early reading skills. J Educational Psychol. 1999;91:604–14.

    Article  Google Scholar 

  64. 64.

    Gorey KM. Early childhood education: A meta-analytic affirmation of the short- and long-term benefits of educational opportunity. School Psychol Q. 2001;16:9–30.

    Article  Google Scholar 

  65. 65.

    Darling-Hammond L. Cracks in the Bell Curve: How Education Matters. J Negro Education. 1995;64:340–53.

    Article  Google Scholar 

  66. 66.

    Finkel D, Reynolds CA, McArdle JJ, Pedersen NL. Cohort differences in trajectories of cognitive aging. J Gerontol B Psychol Sci Soc Sci. 2007;62:P286–94.

    PubMed  Article  Google Scholar 

  67. 67.

    Karlamangla AS, Miller-Martinez D, Aneshensel CS, Seeman TE, Wight RG, Chodosh J. Trajectories of Cognitive Function in Late Life in the United States: Demographic and Socioeconomic Predictors. Am J Epidemiol. 2009;170:331–42.

    PubMed  PubMed Central  Article  Google Scholar 

  68. 68.

    Schaie K. What can we learn from longitudinal studies of adult development? Res Human Develop. 2005;2:133–58.

    Article  Google Scholar 

  69. 69.

    Faul J. The effect of lifecourse socioeconomic position and health of trajectories of cognitive function in older adults. Ann Arbor (MI): University of Michigan; 2010.

    Google Scholar 

  70. 70.

    Salthouse TA. When does age-related cognitive decline begin? Neurobiology Aging. 2009;30:507–14.

    Article  Google Scholar 

  71. 71.

    Nikolova R, Demers L, Béland F. Trajectories of cognitive decline and functional status in the frail older adults. Arch Gerontol Geriatr. 2009;48:28–34.

    PubMed  Article  Google Scholar 

  72. 72.

    Yaffe K, Lindquist K, Vittinghoff E, et al. The effect of maintaining cognition on risk of disability and death. J Am Geriatr Soc. 2010;58:889–94.

    PubMed  PubMed Central  Article  Google Scholar 

  73. 73.

    Rogers MAM, Plassman BL, Kabeto M, Barnes D, Simonsick EM, Newman A, et al. Parental Education and Late-life Dementia in the United States. J Ger Psych Neurol 2009;22(1):71.

    Article  Google Scholar 

  74. 74.

    Brayne C, Calloway P. The association of education and socioeconomic status with the Mini Mental State Examination and the clinical diagnosis of dementia in elderly people. Age & Ageing 1990;19(2):91–6.

    CAS  Article  Google Scholar 

  75. 75.

    Launer LJ, Dinkgreve MA, Jonker C, Hooijer C, Lindeboom J. Are age and education independent correlates of the Mini-Mental State Exam performance of community-dwelling elderly? J Gerontol. 1993;48:271–7.

    Article  Google Scholar 

  76. 76.

    Prencipe M, Casini AR, Ferretti C, Lattanzio MT, Fiorelli M, Culasso F. Prevalence of dementia in an elderly rural population: Effects of age, sex, and education. J Neurol Neurosurg Psychiatry. 1996;60:628–33.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  77. 77.

    Katzman R. Education and the prevalence of dementia and Alzheimer’s disease. Neurology. 1993;43:13–20.

    CAS  PubMed  Article  Google Scholar 

  78. 78.

    Fratiglioni L, Grut M, Forsell Y, Viitanen M, Grafström M, Holmén K, et al. Prevalence of Alzheimer’s disease and other dementias in an elderly urban population: relationship with age, sex, and education. Neurology. 1991;41:1886–92.

    CAS  PubMed  Article  Google Scholar 

  79. 79.

    De Ronchi D, Fratiglioni L, Rucci P, Paternicò A, Graziani S, Dalmonte E. The effect of education on dementia occurrence in an Italian population with middle to high socioeconomic status. Neurology. 1998;50:1231–8.

    CAS  PubMed  Article  Google Scholar 

  80. 80.

    Mortel KF, Meyer JS, Herod B, Thornby J. Education and occupation as risk factors for dementias of the Alzheimer and ischemic vascular types. Dementia. 1995;6:55–62.

    CAS  PubMed  Google Scholar 

  81. 81.

    Gatz M, Svedberg P, Pedersen NL, Mortimer JA, Berg S, Johansson B. Education and the risk of Alzheimer’s disease: findings from the study of dementia in Swedish twins. J Gerontol B Psychol Sci Soc Sci. 2001;56:292–300.

    Article  Google Scholar 

  82. 82.

    Raiha I, Kaprio J, Koskenvuo M, Rajala T, Sourander L. Environmental differences in twin pairs discordant for Alzheimer’s disease. J Neurol Neurosurg Psychiatry. 1998;65:785–7.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  83. 83.

    Stern Y, Gurland B, Tatemichi TK, Tang MX, Wilder D, Mayeux R. Influence of education and occupation on the incidence of Alzheimer’s disease. JAMA. 1994;271:1004–10.

    CAS  PubMed  Article  Google Scholar 

  84. 84.

    Evans DA, Hebert LE, Beckett LA, Scherr PA, Albert MS, Chown MJ, et al. Education and other measures of socioeconomic status and risk of incident Alzheimer disease in a defined population of older persons. Arch Neurol. 1997;54:1399–405.

    CAS  PubMed  Article  Google Scholar 

  85. 85.

    Anstey K, Christensen H. Education, activity, health, blood pressure and apolipoprotein E as predictors of cognitive change in old age: A review. Gerontology. 2000;46:163–77.

    CAS  PubMed  Article  Google Scholar 

  86. 86.

    Glymour MM, Weuve J, Berkman LF, Kawachi I, Robins JM. When is baseline adjustment useful in analyses of change? An example with education and cognitive change. Am J Epidemiol. 2005;162:267–78.

    PubMed  Article  Google Scholar 

  87. 87.

    Christensen H, Hofer SM, MacKinnon AJ, Korten AE, Jorm AF, Henderson AS. Age is no kinder to the better educated: absence of an association investigated using latent growth techniques in a community sample. Psychol Med. 2001;31:15–28.

    CAS  PubMed  Article  Google Scholar 

  88. 88.

    Van Dijk KRA, Van Gerven PWM, Van Boxtel MPJ, Van der Elst W, Jolles J. No protective effects of education during normal cognitive aging: results from the 6-year follow-up of the Maastricht Aging Study. Psychol Aging. 2008;23:119.

    PubMed  Article  Google Scholar 

  89. 89.

    Karlamangla AS, Miller-Martinez D, Aneshensel CS, Seeman TE, Wight RG, Chodosh J. Trajectories of cognitive function in late life in the United States: demographic and socioeconomic predictors. Am J Epidemiol. 2009;170:331–42.

    PubMed  PubMed Central  Article  Google Scholar 

  90. 90.

    Yu B, Ghosh P. Joint modeling for cognitive trajectory and risk of dementia in the presence of death. Biometrics. 2010;66:294–300.

    PubMed  Article  Google Scholar 

  91. 91.

    Flynn JR. The mean IQ of Americans — Massive gains 1932 to 1978. Psychol Bull. 1984;95:29–51.

    Article  Google Scholar 

  92. 92.

    Kalantar-Zadeh K, Block G, Humphreys M, Kopple JD. Reverse epidemiology of cardiovascular risk factors in maintenance dialysis patients. Kidney Int. 2003;63:793–808.

    PubMed  Article  Google Scholar 

  93. 93.

    Hernan MA, Alonso A, Logroscino G. Cigarette smoking and dementia: Potential selection bias in the elderly. Epidemiology. 2008;19:448–50.

    PubMed  Article  Google Scholar 

  94. 94.

    Haneuse S, Schildcrout J, Crane P, Sonnen J, Breitner J, Larson E. Adjustment for selection bias in observational studies with application to the analysis of autopsy data. Neuroepidemiology. 2009;32:229–39.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  95. 95.

    Hernan MA, Hernandez-Diaz S, Robins JM. A structural approach to selection bias. Epidemiology. 2004;15:615–25.

    PubMed  Article  Google Scholar 

  96. 96.

    Morgan SW, Christopher. Counterfactuals and causal inference: Methods and principles for social research. Cambridge (UK): Cambridge University Press; 2007.

    Book  Google Scholar 

  97. 97.

    Gabler N, Duan N, Liao D, Elmore JG, Ganiats TG, Kravitz RL. Dealing with heterogeneity of treatment effects: is the literature up to the challenge? Trials. 2009;10:43.

    PubMed  PubMed Central  Article  Google Scholar 

  98. 98.

    Kravitz RL, Duan N, Braslow J. Evidence-based medicine, heterogeneity of treatment effects, and the trouble with averages. Milbank Q. 2004;82:661–87.

    PubMed  PubMed Central  Article  Google Scholar 

  99. 99.

    Wang R, Lagakos SW, Ware JH, Hunter DJ, Drazen JM. Statistics in medicine — reporting of subgroup analyses in clinical trials. N Engl J Med. 2007;357:2189–94.

    CAS  PubMed  Article  Google Scholar 

  100. 100.

    Terry MB, Wei Y, Esserman D. Maternal, birth, and early-life influences on adult body size in women. Am J Epidemiol. 2007;166:5–13.

    PubMed  Article  Google Scholar 

  101. 101.

    Forrest CB, Riley AW. Childhood origins of adult health: A basis for life-course health policy. Health Aff. 2004;23:155–64.

    Article  Google Scholar 

  102. 102.

    Lu MK, M; Hogan, V; Jones, L; Wright, K; Halfon, N. Closing the Black-White gap in birth outcomes: A life-course approach. Ethn Dis. 2010;20(Suppl 2):62–72.

    Google Scholar 

  103. 103.

    Misra DP, Guyer B, Allston A. Integrated perinatal health framework: A multiple determinants model with a life span approach. Am J Prev Med.2003;25:65–75.

    PubMed  Article  Google Scholar 

  104. 104.

    Wise PH. Framework as metaphor: The promise and peril of MCH life-course perspectives. Matern Child Health J 2003;7:151–6.

    PubMed  Article  Google Scholar 

  105. 105.

    U.S. Department of Health and Human Services. Rethinking MCH: The life course model as an organizing framework. October 2010. USDHHS Health Resources and Services Adminsitration Maternal and Child Health Bureau.

  106. 106.

    Lemere C, Masliah E. Can Alzheimer disease be prevented by amyloid- immunotherapy? Nature Rev Neurol. 2010;6:108–19.

    CAS  Article  Google Scholar 

  107. 107.

    Carlson MC, Erickson KI, Kramer AF, Voss MW, Bolea N, Mielke M, et al. Evidence for neurocognitive plasticity in at-risk older adults: The experience corps program. J Gerontol A Biol Sci Med Sci. 2009;64:1275–82.

    PubMed  Article  Google Scholar 

  108. 108.

    Kleim JA, Jones TA. Principles of experience-dependent neural plasticity: Implications for rehabilitation after brain damage. J Speech Lang Hear Res. 2008;51:S225–39.

    PubMed  Article  Google Scholar 

  109. 109.

    Wolinsky FD, Unverzagt FW, Smith DM, Jones R, Stoddard A, Tennstedt SL. The ACTIVE cognitive training trial and health-related quality of life: Protection that lasts for 5 years. J Gerontol A Biol Sci Med Sci. 2006;61:1324–9.

    PubMed  Article  Google Scholar 

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Recommended Citation: Liu S, Jones RN, Glymour MM. Implications of Lifecourse Epidemiology for Research on Determinants of Adult Disease. Public Health Reviews. 2-1-;32:489–511.

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Liu, S., Jones, R.N. & Glymour, M.M. Implications of Lifecourse Epidemiology for Research on Determinants of Adult Disease. Public Health Rev 32, 489–511 (2010). https://doi.org/10.1007/BF03391613

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Key words

  • Lifecourse epidemiology
  • aging
  • chronic disease
  • models
  • dementia