Maternal and Child Health Journal

, Volume 18, Issue 2, pp 497–510 | Cite as

A Lifecourse Approach to Health Development: Implications for the Maternal and Child Health Research Agenda

  • Shirley A. Russ
  • Kandyce Larson
  • Ericka Tullis
  • Neal Halfon
Article

Abstract

Lifecourse-informed models of health fundamentally challenge simple biomedical models, introducing new ways of thinking about how diseases develop. This paper considers the broad implications of lifecourse theory for the maternal and child health (MCH) research agenda. The Lifecourse Health Development model provides an organizing framework for a synthesis of the existing literature on lifecourse health and identification of gaps in knowledge. Priority areas identified for MCH research in order to close these knowledge gaps include: epigenetic mechanisms and their potential mutability; peri-conception as a critical and sensitive period for environmental exposures; maternal health prior to pregnancy; the role of the placenta as an important regulator of the intra-uterine environment; and ways to strengthen early mother–child interactions. Addressing knowledge gaps will require an emphasis on longitudinal rather than cross-sectional studies, long-term (lifetime) rather than short-term perspectives, datasets that include socio-demographic, biologic and genetic data on the same subjects rather than discipline-specific studies, measurement and study of positive health as well as disease states, and study of multi-rather than single generational cohorts. Adoption of a lifecourse-informed MCH research agenda requires a shift in focus from single cause-single disease epidemiologic inquiry to one that addresses multiple causes and outcomes. Investigators need additional training in effective interdisciplinary collaboration, advanced research methodology and higher-level statistical modeling. Advancing a life course health development research agenda in MCH will be foundational to the nation’s long-term health.

Keywords

Lifecourse Health development Maternal and child health 

References

  1. 1.
    Elder, G. H. (1998). The life course as developmental theory. Child Development, 69(1), 1–12.PubMedGoogle Scholar
  2. 2.
    Smith, G. D., & Kuh, D. (2001). Commentary: William Ogilvy Kermack and the childhood origins of adult health and disease. International Journal of Epidemiology, 30(4), 696–703.PubMedCrossRefGoogle Scholar
  3. 3.
    Elder, G. H., Johnson, M. K., & Crosnoe, R. (2003). The emergence and development of life course theory. In J. T. Mortimer & M. J. Shanahan (Eds.), Handbook of the life course. New York: Kluwer Academic/Plenum Publishers.Google Scholar
  4. 4.
    Barker, D. J., Osmond, C., Golding, J., et al. (1989). Growth in utero, blood pressure in childhood and adult life, and mortality from cardiovascular disease. British Medical Journal, 298(6673), 564–567.PubMedCrossRefGoogle Scholar
  5. 5.
    Barker, D. J., Winter, P. D., Osmond, C., et al. (1989). Weight in infancy and death from ischaemic heart disease. Lancet, 2(8663), 577–580.PubMedCrossRefGoogle Scholar
  6. 6.
    Barker, D. (2003). The midwife, the coincidence, and the hypothesis. British Medical Journal, 327(7429), 1428–1430.PubMedCrossRefGoogle Scholar
  7. 7.
    Barker, D. J. (2007). The origins of the developmental origins theory. Journal of Internal Medicine, 261(5), 412–417.PubMedCrossRefGoogle Scholar
  8. 8.
    Eriksson, J. G. (2011). Early growth and coronary heart disease and type 2 diabetes: Findings from the Helsinki Birth Cohort Study (HBCS). The American Journal of Clinical Nutrition, 94(6 Suppl), 1799S–1802S.PubMedCrossRefGoogle Scholar
  9. 9.
    Osmond, C., Kajantie, E., Forsen, T. J., et al. (2007). Infant growth and stroke in adult life: The Helsinki Birth Cohort Study. Stroke, 38(2), 264–270.PubMedCrossRefGoogle Scholar
  10. 10.
    Risnes, K. R., Vatten, L. J., Baker, J. L., et al. (2011). Birthweight and mortality in adulthood: A systematic review and meta-analysis. International Journal of Epidemiology, 40(3), 647–661.PubMedCrossRefGoogle Scholar
  11. 11.
    Ben-Shlomo, Y., & Kuh, D. (2002). A life course approach to chronic disease epidemiology: Conceptual models, empirical challenges and interdisciplinary perspectives. International Journal of Epidemiology, 31(2), 285–293.PubMedCrossRefGoogle Scholar
  12. 12.
    Gluckman, P. D., Hanson, M. A., Cooper, C., et al. (2008). Effect of in utero and early-life conditions on adult health and disease. New England Journal of Medicine, 359(1), 61–73.PubMedCrossRefGoogle Scholar
  13. 13.
    Wadsworth, M. E. J. (1999). Early life. In M. Marmot & R. G. Wilkinson (Eds.), Social determinants of health (pp. 44–63). New York: Oxford Press.Google Scholar
  14. 14.
    Acheson, D., Barker, D., Chamber, J., et al. (1998). Report of the independent inquiry into inequalities in health (the acheson report). London: The Stationary Office.Google Scholar
  15. 15.
    Aylot, J., Brown, I., Copeland, R., et al. (2008). Tackling obesities: The Foresight Report and implications for local government. Sheffield, South Yorkshire: Sheffield Hallam University, Faculty of Health and Wellbeing.Google Scholar
  16. 16.
    Foresight Mental Capital and Wellbeing Project. (2008). Final project report—executive summary. London: The Government Office for Science.Google Scholar
  17. 17.
    Marmot, M. (2010). The Marmot review: Strategic review of health inequalities in England post-2010. London: The Marmot Review.Google Scholar
  18. 18.
    Committee on Breast Cancer and the Environment, Institute of Medicine. (2011). Breast cancer and the environment: A life course approach. Washington, DC: Institute of Medicine of the National Academy of Sciences. Available at: http://www.iom.edu/~/media/Files/Report%20Files/2011/Breast-Cancer-Environment/BreastCancerReportbrief_2.pdf.
  19. 19.
    Committee on Leading Health Indicators for Healthy People 2020, Institute of Medicine. (2011). Leading health indicators for Healthy People 2020: Letter report. Washington, DC: Institute of Medicine of the National Academy of Sciences. Available at: http://www.iom.edu/~/media/Files/Report%20Files/2011/Leading-Health-Indicators-for-Healthy-People-2020/Leading%20Health%20Indicators%202011%20Report%20Brief.pdf.
  20. 20.
    Hertzman, C. (1994). The lifelong impact of childhood experiences—a population health perspective. Daedalus, 123(4), 167–180.Google Scholar
  21. 21.
    Power, C., & Hertzman, C. (1997). Social and biological pathways linking early life and adult disease. British Medical Bulletin, 53(1), 210–221.PubMedCrossRefGoogle Scholar
  22. 22.
    Hertzman, C. (1999). The biological embedding of early experience and its effects on health in adulthood. Annals New York Academy of Sciences, 896, 85–95.CrossRefGoogle Scholar
  23. 23.
    Halfon, N., & Hochstein, M. (2002). Life course health development: An integrated framework for developing health, policy, and research. The Milbank Quarterly, 80(3), 433–479.PubMedCentralPubMedCrossRefGoogle Scholar
  24. 24.
    Lu, M. C., & Halfon, N. (2003). Racial and ethnic disparities in birth outcomes: A life-course perspective. Maternal and Child Health Journal, 7(1), 13–30.PubMedCrossRefGoogle Scholar
  25. 25.
    Halfon, N., Russ, S. A., & Regalado, M. (2005). The life course health development model: A guide to children’s health care policy and practice. Zero to Three, 25(3), 4–12.Google Scholar
  26. 26.
    Schonkoff, J. P., Boyce, W. T., & McEwan, B. S. (2009). Neuroscience, molecular biology, and the childhood roots of health disparities: Building a new framework for health promotion and disease prevention. The Journal of the American Medical Association, 301(21), 2252–2259.CrossRefGoogle Scholar
  27. 27.
    Fine, A., & Kotelchuck, M. (2010). Rethinking MCH: The life course model as an organizing framework. Washington, DC: U.S. Department of Health and Human Services Health Resources and Services Administration, Maternal and Child Health Bureau. Available at: http://mchb.hrsa.gov/lifecourse/rethinkingmchlifecourse.pdf.
  28. 28.
    Halfon, N., Inkelas, M., & Hochstein, M. (2000). The health development organization: An organizational approach to achieving child health development. The Milbank Quarterly, 78(3), 447–497 (341).Google Scholar
  29. 29.
    Institute of Medicine. (2004). Children’s health, the nation’s wealth. Washington, DC: The National Academies Press.Google Scholar
  30. 30.
    Hertzman, C., & Boyce, T. (2010). How experience gets under the skin to create gradients in developmental health. Annual Review of Public Health, 31, 329–347 (3p following 47).Google Scholar
  31. 31.
    Noble, K. G., Houston, S. M., Kan, E., et al. (2012). Neural correlates of socioeconomic status in the developing human brain. Developmental Science, 1–12.Google Scholar
  32. 32.
    Cicchetti, D. (2011). Allostatic load. Development and Psychopathology, 23(3), 723–724.PubMedCrossRefGoogle Scholar
  33. 33.
    Cicchetti, D., Rogosch, F. A., Toth, S. L., et al. (2011). Normalizing the development of cortisol regulation in maltreated infants through preventive interventions. Development and Psychopathology, 23(3), 789–800.PubMedCrossRefGoogle Scholar
  34. 34.
    Kuzawa, C. W., & Thayer, Z. M. (2011). Timescales of human adaptation: The role of epigenetic processes. Epigenomics, 3(2), 221–234.PubMedCrossRefGoogle Scholar
  35. 35.
    Low, F. M., Gluckman, P. D., & Hanson, M. A. (2011). Developmental plasticity and epigenetic mechanisms underpinning metabolic and cardiovascular diseases. Epigenomics, 3(3), 279–294.PubMedCrossRefGoogle Scholar
  36. 36.
    Meaney, M. J. (2001). Maternal care, gene expression, and the transmission of individual differences in stress reactivity across generations. Annual Review of Neuroscience, 24, 1161–1192.PubMedCrossRefGoogle Scholar
  37. 37.
    Lester, B. M., Tronick, E., Nestler, E., et al. (2011). Behavioral epigenetics. Annals of the New York Academy of Sciences, 1226, 14–33.PubMedCentralPubMedCrossRefGoogle Scholar
  38. 38.
    Michels, K. B., & Waterland, M. R. (2012). The role of epigenetics in the developmental origins of health and disease. In K. B. Michels (Ed.), Epigenetic epidemiology (pp. 105–116). New York: Springer.CrossRefGoogle Scholar
  39. 39.
    Borghol, N., Suderman, M., McArdle, W., et al. (2012). Associations with early-life socio-economic position in adult DNA methylation. International Journal of Epidemiology, 41(1), 62–74.PubMedCrossRefGoogle Scholar
  40. 40.
    Breslau, N. (1995). Psychiatric sequelae of low birth weight. Epidemiologic Reviews, 17(1), 96–106.PubMedGoogle Scholar
  41. 41.
    Maccani, M. A., & Marsit, C. J. (2009). Epigenetics in the placenta. American Journal of Reproductive Immunology, 62(2), 78–89.PubMedCentralPubMedCrossRefGoogle Scholar
  42. 42.
    Bromer, C., Marsit, C. J., & Armstrong, D. A., et al. (2012). Genetic and epigenetic variation of the glucocorticoid receptor (nr3c1) in placenta and infant neurobehavior. Developmental Psychobiology. Google Scholar
  43. 43.
    Hochberg, Z., Feil, R., Constancia, M., et al. (2011). Child health, developmental plasticity, and epigenetic programming. Endocrine Reviews, 32(2), 159–224.PubMedCrossRefGoogle Scholar
  44. 44.
    Gluckman, P. D., Hanson, M. A., & Buklijas, T. (2010). A conceptual framework for the developmental origins of health and disease. Journal of Developmental Origins of Health and Disease, 1(01), 6–18.CrossRefGoogle Scholar
  45. 45.
    Cordero, M. I., Poirier, G. L., Marquez, C., et al. (2012). Evidence for biological roots in the transgenerational transmission of intimate partner violence. Translational Psychiatry, 2, e106.PubMedCentralPubMedCrossRefGoogle Scholar
  46. 46.
    Heijmans, B. T., Tobi, E. W., Lumey, L. H., et al. (2009). The epigenome: Archive of the prenatal environment. Epigenetics, 4(8), 526–531.PubMedCrossRefGoogle Scholar
  47. 47.
    Reik, W., Dean, W., & Walter, J. (2001). Epigenetic reprogramming in mammalian development. Science, 293(5532), 1089–1093.PubMedCrossRefGoogle Scholar
  48. 48.
    Reik, W., & Walter, J. (2001). Genomic imprinting: Parental influence on the genome. Nature Reviews Genetics, 2(1), 21–32.PubMedCrossRefGoogle Scholar
  49. 49.
    Barker, D. J. P. (2002). Fetal programming of coronary heart disease. Trends in Endocrinology and Metabolism, 13(9), 364–368.PubMedCrossRefGoogle Scholar
  50. 50.
    Adair, L. S., & Cole, T. J. (2003). Rapid child growth raises blood pressure in adolescent boys who were thin at birth. Hypertension, 41(3), 451–456.PubMedCrossRefGoogle Scholar
  51. 51.
    Taveras, E. M., Rifas-Shiman, S. L., Belfort, M. B., et al. (2009). Weight status in the first 6 months of life and obesity at 3 years of age. Pediatrics, 123(4), 1177–1183.PubMedCentralPubMedCrossRefGoogle Scholar
  52. 52.
    Gillman, M. W. (2009). Childhood prevention of hypertensive cardiovascular disease. The Journal of Pediatrics, 155(2), 159–161.PubMedCrossRefGoogle Scholar
  53. 53.
    Liu, S., Jones, R. N., & Glymour, M. M. (2010). Implications of lifecourse epidemiology for research on determinants of adult disease. Public Health Review, 32(2), 489–511.Google Scholar
  54. 54.
    Moffitt, T. E. (2005). Genetic and environmental influences on antisocial behaviors: Evidence from behavioral-genetic research. Advances in Genetics, 55, 41–104.PubMedGoogle Scholar
  55. 55.
    Jokela, M., Lehtimaki, T., & Keltikangas-Jarvinen, L. (2007). The influence of urban/rural residency on depressive symptoms is moderated by the serotonin receptor 2a gene. American Journal of Medical Genetics Part B, Neuropsychiatric Genetics, 144B(7), 918–922.CrossRefGoogle Scholar
  56. 56.
    Gilbert, S. F. (2000). Developmental biology (6th ed.). Sunderland, MA: Sinauer Associates.Google Scholar
  57. 57.
    Gluckman, P. D., Hanson, M. A., Bateson, P., et al. (2009). Towards a new developmental synthesis: Adaptive developmental plasticity and human disease. Lancet, 373(9675), 1654–1657.PubMedCrossRefGoogle Scholar
  58. 58.
    Bateson, P., & Gluckman, P. (2012). Plasticity and robustness in development and evolution. International Journal of Epidemiology, 41(1), 219–223.PubMedCrossRefGoogle Scholar
  59. 59.
    Hochberg, Z. (2011). Evolutionary perspectives in child growth. Rambam Maimonides Medical Journal, 2(3), e0057.PubMedCentralPubMedCrossRefGoogle Scholar
  60. 60.
    Halfon, N., Verhoef, P. A., & Kuo, A. A. (2012). Childhood antecedents to adult cardiovascular disease. Pediatrics in Review, 33(2), 51–61.PubMedCrossRefGoogle Scholar
  61. 61.
    Gottesman, I. I., & Gould, T. D. (2003). The endophenotype concept in psychiatry: Etymology and strategic intentions. The American Journal of Psychiatry, 160(4), 636–645.PubMedCrossRefGoogle Scholar
  62. 62.
    Brotman, M. A., Guyer, A. E., Lawson, E. S., et al. (2008). Facial emotion labeling deficits in children and adolescents at risk for bipolar disorder. The American Journal of Psychiatry, 165(3), 385–389.PubMedCrossRefGoogle Scholar
  63. 63.
    Arcaleni, E. (2006). Secular trend and regional differences in the stature of italians, 1854–1980. Economics and Human Biology, 4(1), 24–38.PubMedCrossRefGoogle Scholar
  64. 64.
    Connor, N. E. (2011). Impact of fetal and neonatal malnutrition on the onset of puberty and associated noncommunicable disease risks. Adolescent Health, Medicine and Therapeutics, 2011, 15–25.CrossRefGoogle Scholar
  65. 65.
    Martinson, M. L. (2012). Income inequality in health at all ages: A comparison of the United States and England. American Journal of Public Health, 102(11), 2049–2056.PubMedCrossRefGoogle Scholar
  66. 66.
    Wilkinson, R. G., & Pickett, K. E. (2009). The spirit level: Why equality is better for everyone. New York: Bloomsbury Press.Google Scholar
  67. 67.
    Siddiqi, A., Kawachi, I., Berkman, L., et al. (2007). Variation of socioeconomic gradients in children’s developmental health across advanced capitalist societies: Analysis of 22 OECD nations. International Journal of Health Services, 37(1), 63–87.PubMedCrossRefGoogle Scholar
  68. 68.
    Hertzman, C., Siddiqi, A., Hertzman, E., et al. (2010). Bucking the inequality gradient through early child development. British Medical Journal, 340, c468.PubMedCrossRefGoogle Scholar
  69. 69.
    Goldman, D. P., Shang, B., Bhattacharya, J., et al. (2005). Consequences of health trends and medical innovation for the future elderly. Health Affairs, 24(Suppl 2), W5R5–W5R17.PubMedGoogle Scholar
  70. 70.
    Schadt, E. E., & Bjorkegren, J. L. (2012). New: Network-enabled wisdom in biology, medicine, and health care. Science Translational Medicine, 4(115), 115rv1.PubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Shirley A. Russ
    • 1
  • Kandyce Larson
    • 1
    • 2
  • Ericka Tullis
    • 1
  • Neal Halfon
    • 1
    • 2
    • 3
    • 4
  1. 1.UCLA Center for Healthier Children, Families, and CommunitiesLos AngelesUSA
  2. 2.Department of Pediatrics, David Geffen School of MedicineUCLALos AngelesUSA
  3. 3.Department of Health Services, School of Public HealthUCLALos AngelesUSA
  4. 4.Department of Public Policy, School of Public AffairsUCLALos AngelesUSA

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