Implications of lifecourse epidemiology for research on determinants of adult disease

Public Health Reviews

Volumn 33, Issue 2, 2011, Pages 489-511

  Liu, Sze ^a   Jones, Richard N ^b   Glymour, M Maria ^a  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Aging; Chronic disease; Dementia; Lifecourse epidemiology; Models

Indexed keywords

ADULT; ADULT DISEASE; BODY MASS; CAUSAL ATTRIBUTION; CHRONIC DISEASE; COGNITION; COGNITIVE DEFECT; DEMENTIA; DISABILITY; DISEASE ASSOCIATION; DISEASE SEVERITY; EPIDEMIOLOGY; HEALTH EDUCATION; HIGH RISK POPULATION; HUMAN; INFORMATION DISSEMINATION; LIFE EVENT; MENTAL TASK; PERSONAL EXPERIENCE; PRIORITY JOURNAL; PSYCHOLOGICAL WELL BEING; REVIEW; RISK ASSESSMENT; RISK BENEFIT ANALYSIS; RISK FACTOR; RISK REDUCTION; SMOKING HABIT; SOCIAL BEHAVIOR; SOCIAL CLASS; SURVIVOR; TASK PERFORMANCE;

EID: 84862159561     PISSN: 03010422     EISSN: 21076952     Source Type: Journal    
DOI: None     Document Type: Review

References (109)

1. Barker DJ, Martyn C. The maternal and fetal origins of cardiovascular disease. J Epidemiol Community Health. 1992;46:8-11.
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.
3. Power C, Hertzman C. Social and biological pathways linking early life and adult disease. Br Med Bull. 1997;53:210-22.
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. (Pubitemid 43197600)
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. (Pubitemid 38856474)
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.
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.
8. Wilson RS, Hebert LE, Scherr PA, et al. Educational attainment and cognitive decline in old age. Neurology. 2009;72:460.
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. (Pubitemid 44818933)
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.
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.
12. Whalley LJ, Dick FD, McNeill G. A life-course approach to the aetiology of late-onset dementias. Lancet Neurol. 2006;5:87-96. (Pubitemid 41790699)
13. Glymour MM, Manly JJ. Lifecourse social conditions and racial and ethnic patterns of cognitive aging. Neuropsychol Rev. 2008;18:223-54.
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.
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. (Pubitemid 34052895)
16. Wadsworth M. Health inequalities in the life course perspective. Soc Sci Med. 1997;44:859-69. (Pubitemid 27117438)
17. Pearl J. Causality. Cambridge (UK): Cambridge University Press; 2000.
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.
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.
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.
21. Link BG, Phelan J. Social conditions as fundamental causes of disease. J Health Soc Behav. 1995;Spec:80-94.
22. Cowell AJ. The relationship between education and health behavior: some empirical evidence. Health Econ. 2006;15:125-46. (Pubitemid 43193342)
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. (Pubitemid 351804016)
24. Barker DJ. The fetal and infant origins of adult disease. BMJ. 1990;301:1111. (Pubitemid 20387183)
25. Barker DJP, Lackland DT. Prenatal influences on stroke mortality in England and Wales. Stroke. 2003;34:1598-602. (Pubitemid 36842608)
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.
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. (Pubitemid 38160317)
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.
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. (Pubitemid 16154173)
30. Wang C. Beyond frequencies and coefficients - toward meaningful descriptions for life course epidemiology. Am J Epidemiol. 2006;164:122-5. (Pubitemid 43992176)
31. Pampel FC. The Persistence of Educational Disparities in Smoking. Soc Problems. 2009;56:526-42.
32. Doupe A, Kuhl P. Birdsong and human speech: Common themes and mechanisms. Ann Rev Neurosci. 1999;22:567-631. (Pubitemid 29144898)
33. Roshania R, Narayan K, Oza-Frank R. Age at arrival and risk of obesity among US immigrants. Obesity. 2008;16:2669-75.
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;95:1043.
35. Mayer KU. New directions in life course research. Ann Rev Sociol. 2009;35:413-33.
36. Robert CW, William HD. Role of the prenatal environment in the development of obesity. J Pediatr. 1998;132:768-76.
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. (Pubitemid 39655268)
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. (Pubitemid 38169355)
39. Glymour MM. Commentary: Selected samples and nebulous measures: Some methodological difficulties in life-course epidemiology. Int J Epidemiol. 2007;36:566-8. (Pubitemid 47244557)
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;6:203.
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. (Pubitemid 40053276)
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.
43. Winship C, Harding D. A mechanism-based approach to the identification of age-period-cohort models. Soc Meth Res. 2008;36:362.
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.
45. Hachinski V. Shifts in thinking about dementia. JAMA. 2008;300:2172-3.
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.
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. (Pubitemid 43122172)
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.
49. Altman DG. Categorizing continuous variables. John Wiley & Sons, Ltd; 2005.
50. VanderWeele TJ, Robins JM. Directed acyclic graphs, sufficient causes, and the properties of conditioning on a common effect. Am J Epidemiol. 2007;166:1096.
51. Greenland S, Pearl J, Robins JM. Causal diagrams for epidemiologic research. Epidemiology. 1999;10:37-48. (Pubitemid 29014427)
52. Hernán MA, Hernandez-Diaz S, Robins JM. A structural approach to selection bias. Epidemiology. 2004;15:615-25. (Pubitemid 40416916)
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. 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.
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. (Pubitemid 27117435)
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. (Pubitemid 47511683)
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.
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.
59. Dufouil C, Alperovitch A, Tzourio C. Influence of education on the relationship between white matter lesions and cognition. Neurology. 2003;60:831-6. (Pubitemid 36297369)
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.
61. Ashenfelter O, Rouse C. Schooling, intelligence and income in America: Cracks in the bell curve. NBER Working Paper 1999;6902.
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. (Pubitemid 351731638)
63. Crone DA, Whitehurst GJ. Age and schooling effects on emergent literacy and early reading skills. J Educational Psychol. 1999;91:604-14.
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.
65. Darling-Hammond L. Cracks in the Bell Curve: How Education Matters. J Negro Education. 1995;64:340-53.
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.
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.
68. Schaie K. What can we learn from longitudinal studies of adult development? Res Human Develop. 2005;2:133-58.
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.
70. Salthouse TA. When does age-related cognitive decline begin? Neurobiology Aging. 2009;30:507-14.
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.
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.
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.
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. (Pubitemid 20100148)
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.
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. (Pubitemid 26237113)
77. Katzman R. Education and the prevalence of dementia and Alzheimer's disease. Neurology. 1993;43:13-20. (Pubitemid 23035350)
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.
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. (Pubitemid 28240333)
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.
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.
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. (Pubitemid 28486665)
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. (Pubitemid 24099921)
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. (Pubitemid 27469356)
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. (Pubitemid 30201340)
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. (Pubitemid 41373531)
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. (Pubitemid 32046733)
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.
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.
90. Yu B, Ghosh P. Joint modeling for cognitive trajectory and risk of dementia in the presence of death. Biometrics. 2010;66:294-300.
91. Flynn JR. The mean IQ of Americans - Massive gains 1932 to 1978. Psychol Bull. 1984;95:29-51.
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. (Pubitemid 36315558)
93. Hernan MA, Alonso A, Logroscino G. Cigarette smoking and dementia: Potential selection bias in the elderly. Epidemiology. 2008;19:448-50. (Pubitemid 351543523)
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.
95. Hernan MA, Hernandez-Diaz S, Robins JM. A structural approach to selection bias. Epidemiology. 2004;15:615-25. (Pubitemid 40416916)
96. Morgan SW, Christopher. Counterfactuals and causal inference: Methods and principles for social research. Cambridge (UK): Cambridge University Press; 2007.
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.
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. (Pubitemid 40143102)
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.
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. (Pubitemid 47234301)
101. Forrest CB, Riley AW. Childhood origins of adult health: A basis for lifecourse health policy. Health Aff. 2004;23:155-64. (Pubitemid 39303500)
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.
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. (Pubitemid 36724694)
104. Wise PH. Framework as metaphor: The promise and peril of MCH life-course perspectives. Matern Child Health J 2003;7:151-6.
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. Lemere C, Masliah E. Can Alzheimer disease be prevented by amyloid- immunotherapy? Nature Rev Neurol. 2010;6:108-19.
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.
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. (Pubitemid 351206588)
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. (Pubitemid 46147791)