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7 - Developmental Epidemiology: The Role of Developmental Psychology for Public Health in the 21st Century

Published online by Cambridge University Press:  03 December 2009

By
Stephen L. Buka
Edited by
David B. Pillemer  and
Sheldon H. White
Stephen L. Buka
Affiliation:
Department of Maternal and Child Health, Harvard School of Public Health, Cambridge, MA
David B. Pillemer
Affiliation:
University of New Hampshire
Sheldon H. White
Affiliation:
Harvard University, Massachusetts
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Summary

Introduction

The leading causes of morbidity and mortality worldwide have been transformed dramatically over the past century. In the United States, since the early 1900s, there has been an unprecedented decline in the major infectious diseases of childhood, such as diptheria, scarlet fever, tuberculosis, and small pox. Simultaneously, there has been an increase in the prevalence of chronic diseases and disabilities, such as asthma, mental retardation, cerebral palsy, epilepsy, and childhood cancers. More recently there has been increasing concern for psychiatric, behavioral, and social disorders of childhood and a call for new methods to study and reduce these “new” psychosocial morbidities of childhood and adolescence (Buka & Lipsitt, 1994; Haggerty, Roughmann, & Pless, 1975).

This shifting profile of health concerns is not limited to either children or to the United States. Christopher Murray and Alan Lopez (1996) have conducted a comprehensive summary of the leading causes of mortality and disability, in 1990 and projected to 2020. To conduct this assessment, the Global Burden of Disease report calculated a single measure of the total “burden” that could be attributed to a particular disease or disorder, factoring in both the number of years lost (through premature death) and, for nonfatal diseases, the resulting losses in the quality of life. The resulting “Disability-Adjusted Life Year” (DALY) expresses years of life lost to premature death and years lived with a disability of specified severity and duration; one DALY represents one lost year of healthy life.

Type
Chapter
Information
Developmental Psychology and Social Change
Research, History and Policy
 , pp. 173 - 202
Publisher: Cambridge University Press
Print publication year: 2005

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References

Abramson, L. Y., Seligman, M. E., & Teasdale, J. D. (1978). Learned helplessness in humans: Critique and reformulation. Journal of Abnormal Psychology 87, 1, 49–74CrossRefGoogle ScholarPubMed
Bartusch, D., Lynam, D., Moffitt, T. E., & Silva, P. (1997). Is age important? Testing a general versus a developmental theory of antisocial behavior. Criminology 35, 13–48CrossRefGoogle Scholar
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, 285–293CrossRefGoogle ScholarPubMed
Berkman, L. F., & Kawachi, I. (Eds.). (2000). Social Epidemiology. New York: Oxford University PressGoogle Scholar
Bowlby, J. (1977). The making and breaking of affectional bonds. I. Aetiology and psychopathology in the light of attachment theory. An expanded version of the Fiftieth Maudsley Lecture, delivered before the Royal College of Psychiatrists, November 19, 1976. British Journal of Psychiatry 130, 201–210CrossRefGoogle Scholar
Boyce, W., Frank, E., Jensen, P., Kessler, R., Nelson, C., & Steinberg, L. (1998). Social context in developmental psychopathology: Recommendations for future research from the MacArthur Network on Psychopathology and Development. Development and Psychopathology 10, 143–164CrossRefGoogle ScholarPubMed
Broman, S. H. (1987). Retardation in Young Children: A Developmental Study of Cognitive Deficit. Hillsdale, NJ: Lawrence Erlbaum AssociatesGoogle Scholar
Broman, S. H., Bien, E., & Shaughnessy, P. (1985). Low Achieving Children: The First Seven Years. Hillsdale, NJ: Lawrence Erlbaum AssociatesGoogle Scholar
Broman, S. H., Nichols, P. L., & Kennedy, W. A. (1975). Preschool IQ: Prenatal and Early Developmental Correlates. Hillsdale, NJ: Lawrence Erlbaum Associates; distributed by the Halsted Press Division of WileyGoogle Scholar
Brown, G. W., & Harris, T. O. (1978). Social Origins of Depression: A Study of Psychiatric Disorder in Women. London: TavistockGoogle Scholar
Buka, S. L., & Earls, F. (1993). Early determinants of delinquency and violence. Health Affairs 12, 4, 46–64CrossRefGoogle ScholarPubMed
Buka, S. L., & Lipsitt, L. P. (1994). Toward a developmental epidemiology. In Friedman, S. L. & Haywood, H. C. (Eds.), Developmental Follow-Up: Concepts, Domains, and Methods (pp. 331–350). San Diego, CA: Academic Press, IncGoogle Scholar
Buka, S. L., Goldstein, J. M., Seidman, L. J., Zornberg, G. L., Donatelli, J. A., Denny, L. R., et al. (1999). Prenatal complications, genetic vulnerability, and schizophrenia: The New England longitudianl studies of schizophrenia. Psychiatric Annals 29, 3, 151–156CrossRefGoogle Scholar
Buka, S. L., Lipsitt, L., & Tsuang, M. (1988). Birth complications and psychological deviancy: A 25-year prospective inquiry. Acta Paediatrica Japonica 30, 537–546CrossRefGoogle ScholarPubMed
Buka, S. L., Satz, P., Seidman, L., & Lipsitt, L. (1998). Defining learning disabilities: The role of longitudinal studies. Thalamus 16, 2, 14–29Google Scholar
Buka, S. L., Shenassa, E., & Niaura, R. (2003). Elevated risk of tobacco dependence among offspring of mothers who smoke during pregnancy: A 30-year prospective study. American Journal of Psychiatry 160, 11, 1978–1984CrossRefGoogle Scholar
Buka, S. L., Tsuang, M. T., & Lipsitt, L. P. (1993). Pregnancy/delivery complications and psychiatric diagnosis. A prospective study. Archives of General Psychiatry 50, 2, 151–156CrossRefGoogle ScholarPubMed
Burns, S. J., & Offord, D. R. (1972). Achievement correlates of depressive illness. Journal of Nervous and Mental Disease 154, 5, 344–351CrossRefGoogle ScholarPubMed
Calev, A. (1996). Affect and memory in depression: Evidence of better delayed recall of positive than negative affect words. Psychopathology 29, 2, 71–76CrossRefGoogle ScholarPubMed
Chabra, A., Chavez, G., & Harris, E. (1999). Mental illness in elementary-school-aged children. Western Journal of Medicine 170, 28–34Google ScholarPubMed
Corrigall, W. (1991). Understanding brain mechanisms in nicotine reinforcement. British Journal of Addiction 86, 507–510CrossRefGoogle ScholarPubMed
Costello, A. J., & Angold, A. (1991). Developing a developmental epidemiology. In Cicchetti, D. & Toth, S. (Eds.), Rochester Symposium on Developmental Psychopathology (Vol. 3). Hillsdale, NJ: Laurence Earlbaum AssociatesGoogle Scholar
Crum, R. M., Bucholz, K. K., Helzer, J. E., & Anthony, J. C. (1992). The risk of alcohol abuse and dependence in adulthood: The association with educational level. American Journal of Epidemiology 135, 9, 989–999CrossRefGoogle ScholarPubMed
Dohrenwend, B. P. (1990). Socioeconomic status (SES) and psychiatric disorders. Are the issues still compelling?Social Psychiatry and Psychiatric Epidemiology 25, 1, 41–47Google ScholarPubMed
Dohrenwend, B. P., Levav, I., Shrout, P. E., Schwartz, S., Naveh, G., Link, B. G., et al. (1992). Socioeconomic status and psychiatric disorders: The causation-selection issue. Science 255, 5047, 946–952CrossRefGoogle ScholarPubMed
Erikson, E. H. (1982). The life cycle completed: A review. New York: NortonGoogle Scholar
Ernst, M., Moolchan, E., & Robinson, M. (2001). Behavioral and neural consequences of parental exposure to nicotine. Journal of the American Academy of the Child and Adolescent Psychiatry 40, 6, 630–641CrossRefGoogle Scholar
Fan, A. P., & Eaton, W. W. (2001). Longitudinal study assessing the joint effects of socio-economic status and birth risks on adult emotional and nervous conditions. British Journal of Psychiatry 178 (Supplement 40), s78–s83CrossRefGoogle Scholar
Gilman, S. E., Kawachi, I., Fitzmaurice, G., & Buka, S. L. (2002). Socioeconomic status in childhood and the lifetime risk of major depression. International Journal of Epidemiology 31, 359–367CrossRefGoogle ScholarPubMed
Gilman, S. E., Kawachi, I., Fitzmaurice, G. M., & Buka, S. L. (2003). Socioeconomic status, family disruption, and residential stability in childhood: Relation to the onset, recurrence, and remission of major depression. Psychological Medicine 33, 8, 1341–1355CrossRefGoogle ScholarPubMed
Griesler, P., Kandel, D., & Davies, M. (1998). Maternal smoking in pregnancy, child behavior problems, and adolescent smoking. Journal of Research on Adolescence 8, 159–185CrossRefGoogle Scholar
Haass, M., & Kubler, W. (1997). Nicotine and sympathetic neurotransmission. Cardiovascular Drug Therapy 10, 657–665CrossRefGoogle ScholarPubMed
Haggerty, R. J., Roughmann, K. J., & Pless, I. B. (1975). Child Health and the Community. New York: WileyGoogle Scholar
Hallstrom, T. (1987). The relationships of childhood socio-demographic factors and early parental loss to major depression in adult life. Acta Psychiatrica Scandinavica 75, 2, 212–216CrossRefGoogle ScholarPubMed
Hardy, J. B., Shapiro, S., Mellits, E. D., Skinner, E. A., Astone, N. M., Ensminger, M., et al. (1997). Self-sufficiency at ages 27 to 33 years: Factors present between birth and 18 years that predict educational attainment among children born to inner-city families. Pediatrics 99, 1, 80–87CrossRefGoogle ScholarPubMed
Herrnstein, R. J., & Murray, . (1994, October 10). The aristocracy of intelligence. Wall Street Journal, p. A12Google Scholar
Herrnstein, R. J., & Murray, C. (1996). The Bell Curve: Intelligence and Class Structure in American Life. New York: Free PressGoogle Scholar
Hill, A. B. (1965). The environment and disease: Association or causation. Proceedings of the Royal Society of Medicine 58, 295–300Google ScholarPubMed
Jacobson, B., Nyberg, K., Eklund, G., Bygdeman, M., & Rydberg, , U. (1988). Obstetric pain medication and eventual adult amphetamine addiction in offspring. Acta Obstetricia et Gynecologica Scandinavica 67, 677–682CrossRefGoogle ScholarPubMed
Jacobson, B., Nyberg, K., Gronbladh, L., Eklund, G., Bygdeman, M., & Rydberg, U. (1990). Opiate addiction in adult offspring through possible imprinting after obstetric treatment. British Medical Journal 301, 1067–1070CrossRefGoogle ScholarPubMed
Jacobson, S., Fasman, J., & DiMascio, A. (1975). Deprivation in the childhood of depressed women. Journal of Nervous and Mental Disease 160, 1, 5–14CrossRefGoogle ScholarPubMed
Johnson, J. G., Cohen, P., Dohrenwend, B. P., Link, B. G., & Brook, J. S. (1999). A longitudinal investigation of social causation and social selection processes involved in the association between socioeconomic status and psychiatric disorders. Journal of Abnormal Psychology 108, 3, 490–499CrossRefGoogle ScholarPubMed
Kagan, J. (1989). Temperamental contributions to social behavior. American Psychologist 44, 668–674CrossRefGoogle Scholar
Keating, D. P., & Hertzman, C. (1999). Developmental Health and the Wealth of Nations: Social, Biological, and Educational Dynamics. New York: Guilford PressGoogle Scholar
Kellam, S. G., & Ensminger, M. E. (1980). Theory and method in child psychiatric epidemiology. In Earls, F. (Ed.), Studies of Children (pp. 145–180). New York: ProdistGoogle Scholar
Kessler, R. C., & Magee, W. J. (1993). Childhood adversities and adult depression: Basic patterns of association in a U.S. national survey. Psychological Medicine 23, 3, 679–690CrossRefGoogle Scholar
Koob, G., & Moal, M. (1997). Drug abuse: Hedonic homeostatic dysregulation. Science 278, 52–58CrossRefGoogle ScholarPubMed
Kratzer, L., & Hodgins, S. (1999). A typology of offenders: A test of Moffitt's theory among males and females from childhood to age 30. Criminal Behaviour and Mental Health 9, 57–73CrossRefGoogle Scholar
Kuh, D., & Ben-Shlomo, Y. (1997). A Life Course Approach to Chronic Disease Epidemiology. Oxford/New York: Oxford University PressGoogle Scholar
Lipsitt, P. D., Buka, S. L., & Lipsitt, L. P. (1990). Early intelligence scores and subsequent delinquency: A prospective study. American Journal of Family Therapy 18, 197–208Google Scholar
Lundberg, O. (1993). The impact of childhood living conditions on illness and mortality in adulthood. Social Science and Medicine 36, 8, 1047–1052CrossRefGoogle ScholarPubMed
McFarland, B., Seidler, F., & Slotkin, T. (1991). Inhibition of DNA synthesis in neonatal rat brain regions caused by acute nicotine administration. Brain Research Developmental Brain Research 58, 2, 223–229CrossRefGoogle ScholarPubMed
McLoyd, V. C. (1998). Socioeconomic disadvantage and child development. American Psychologist 53, 2, 185–204CrossRefGoogle ScholarPubMed
Meyerson, B. J. (1985). Influence of early beta-endorphin treatment on the behavior and reaction to beta-endorphin in the adult male rat. Psychoneuroendocrinology 10, 2, 135–147CrossRefGoogle ScholarPubMed
Mickelson, K. D., Kessler, R. C., & Shaver, P. R. (1997). Adult attachment in a nationally representative sample. Journal of Personality and Social Psychology 73, 5, 1092–1106CrossRefGoogle Scholar
Miettinen, O. S. (1985). Theoretical Epidemiology: Principles of Occurrence Research in Medicine. New York: WileyGoogle Scholar
Moffitt, T. E. (1993). Adolescence-limited and life-course-persistent antisocial behavior: A developmental taxonomy. Psychological Review 100, 4, 674–701CrossRefGoogle ScholarPubMed
Moffitt, T. E., Caspi, A., Dickson, N., Silva, P., & Stanton, W. (1996). Childhood-onset versus adolescent-onset antisocial conduct problems in males: Natural history from ages 3 to 18 years. Development and Psychopathology 8, 399–424CrossRefGoogle Scholar
Moffitt, T. E., Lynam, D., & Silva, P. (1994). Neuropsychologica tests predicting persistent male delinquency. Criminology 32, 277–300CrossRefGoogle Scholar
Muneoka, K., Ogawa, T., Kamei, K., Muraoka, S., Tomiyoshi, R., Mimura, Y., et al. (1997). Prenatal nicotine exposure affects the development of the central serotinergic system as well as dopaminergic system in rat offspring: Involvement of drug adminstrations. Brain Research Developmental Brain Research 102, 1, 117–126CrossRefGoogle Scholar
Muntaner, C., Eaton, W. W., Diala, C., Kessler, R. C., & Sorlie, P. D. (1998). Social class, assets, organizational control and the prevalence of common groups of psychiatric disorders. Social Science and Medicine 47, 12, 2043–2053CrossRefGoogle ScholarPubMed
Murphy, J. M., Olivier, D. C., Monson, R. R., Sobol, A. M., Federman, E. B., & Leighton, A. H. (1991). Depression and anxiety in relation to social status. A prospective epidemiologic study. Archives of General Psychiatry 48, 3, 223–229CrossRefGoogle ScholarPubMed
Murray, C., & Lopez, A. (1996). The Global Burden of Disease: A Comprehensive Assessment of Mortality and Disability from Diseases, Injuries, and Risk Factors in 1990 and Projected to 2020 (Vol. 1). Cambridge, MA: Harvard University PressGoogle Scholar
Mustard, J. F., & Lipsitt, L. P. (1999). Foreward. In Keating, D. P. & Hertzman, C. (Eds.), Developmental Health and the Wealth of Nations (pp. ix–xii). New York: Guilford PressGoogle Scholar
Myrianthopoulos, N. C., & French, K. S. (1968). An application of the U.S. Bureau of the Census socioeconomic index to a large, diversified patient population. Social Science and Medicine 2, 3, 283–299CrossRefGoogle ScholarPubMed
Nagin, D., Farrington, D. P., & Moffitt, T. E. (1995). Lifecourse trajectories of different types of offenders. Criminology 33, 111–139CrossRefGoogle Scholar
Navarro, H., Seidler, F., Schwart, R., Baker, F., Dobbins, S., & Slotkin, T. (1989). Prenatal exposure to nicotine impairs nervous system development which does not affect viability or growth. Brain Research Bulletin 23, 187–192CrossRefGoogle ScholarPubMed
Nichols, P. L., & Chen, T.-C. (1981). Minimal Brain Dysfunction: A Prospective Study. Hillsdale, NJ: Lawrence Erlbaum AssociatesGoogle Scholar
NIMH. (2001). Blueprint for Change: Research on Child and Adolescent Mental Health. Washington, DC: National Institute of Mental Health, National Advisory Mental Health Council Workgroup on Child and Adolescent Mental Health Intervention Development and Deployment
Niswander, K. R., & Gordon, M. (1972). The Women and Their Pregnancies: The Collaborative Perinatal Study of the National Institute of Neurological Diseases and Stroke. Washington, DC: National Institute of HealthGoogle Scholar
Nyberg, K., Buka, S. L., & Lipsitt, L. (2000). Maternal medication as a potential risk factor for adult drug abuse in a North American cohort. Epidemiology 11, 715–716CrossRefGoogle Scholar
Paternoster, R., Dean, C., Piquero, A. R., Mazerolle, P., & Brame, R. (1997). Continuity and change in offending careers. Journal of Quantitative Criminology 13, 231–266CrossRefGoogle Scholar
Patterson, G. R., & Yoerger, K. (1993). A model for early onset of delinquent behavior. In Hodgins, S. (Ed.), Crime and Mental Disorder (pp. 140–172). Newbury Park, CA: SageGoogle Scholar
Piccinelli, M., & Wilkinson, G. (2000). Gender differences in depression. British Journal of Psychiatry 177, 486–492CrossRefGoogle ScholarPubMed
Piquero, A. R., & Buka, S. L. (2002). Linking juvenile and adult patterns of criminal activity in the Providence cohort of the National Collaborative Perinatal Project. Journal of Criminal Justice 30, 259–272CrossRefGoogle Scholar
Power, C., Hertzman, C., Matthews, S., & Manor, O. (1997). Social differences in health: Life-cycle effects between ages 23 and 33 in the 1958 British birth cohort. American Journal of Public Health 87, 9, 1499–1503CrossRefGoogle ScholarPubMed
Raine, A., Brennan, P., & Mednick, S. A. (1994). Birth complications combined with early maternal rejection at age 1 year predispose to violent crime at age 18 years. Archives of General Psychiatry 51, 12, 984–988CrossRefGoogle Scholar
Richards, M., Hardy, R., Kuh, D., & Wadsworth, M. (2001). Birth weight and cognitive function in the British 1946 birth cohort: Longitudinal population based study. British Medical Journal 322, 7280, 199–203CrossRefGoogle ScholarPubMed
Ritsher, J. E. B., Warner, V., Johnson, J. G., & Dohrenwend, B. P. (2001). Inter-generational longitudinal study of social class and depression: A test of social causation and social selection models. British Journal of Psychiatry 178, suppl. 40, s84–s90CrossRefGoogle Scholar
Robins, L. N., Helzer, J. E., Croughan, J., & Ratcliff, K. S. (1981). National Institute of Mental Health Diagnostic Interview Schedule. Its history, characteristics, and validity. Archives of General Psychiatry 38, 4, 381–389CrossRefGoogle ScholarPubMed
Rothman, K. (1976). Causes. American Journal of Epidemiology 104, 587–592CrossRefGoogle ScholarPubMed
Rothman, K. (1986). Modern Epidemiology. Boston: Little, BrownGoogle Scholar
Rothman, K., & Greeland, S. (1998). Modern Epidemiology (2nd ed.). Philadelphia: Lippincott-RavenGoogle Scholar
Rutter, M. (1989). Pathways from childhood to adult life. Journal of Child Psychology and Psychiatry and Allied Disciplines 30, 23–51CrossRefGoogle ScholarPubMed
Sadowski, H., Ugarte, B., Kolvin, I., Kaplan, C., & Barnes, J. (1999). Early life family disadvantages and major depression in adulthood. British Journal of Psychiatry 174, 112–120CrossRefGoogle ScholarPubMed
Shaffer, D., Fisher, P., Dulcan, M. K., Davies, M., Piacentini, J., Schwab-Stone, M. E., et al. (1996). The NIMH diagnostic interview schedule for children, Version 2.3 (DISC-2.3): Description, acceptability, prevalence rates, and performance in the MECA study. Methods for the epidemiology of child and adolescent mental disorders study. Journal of American Academy of Child and Adolescent Psychiatry 35, 7, 865–877CrossRefGoogle ScholarPubMed
Sturm, R., Ringel, J., Bao, C., Stein, B., Kapur, K., Zhang, W., et al. (2001). National estimates of mental health utilization and expenditures for children in 1998. Journal of Behavioral Health Services and Research 28, 3, 319–333Google Scholar
Susser, M., & Susser, E. (1996). Choosing a future for epidemiology: II. From black box to Chinese boxes and eco-epidemiology. [erratum appears in American Journal of Public Health (1996 August) 86, 8–1, 1093]. American Journal of Public Health 86, 5, 674–677CrossRefGoogle ScholarPubMed
Tibbetts, S. G., & Piquero, A. R. (1999). The influence of gender, low birth weight, and disadvantaged environment in predicting early onset of offending: A test of Moffitt's interactional hypothesis. Criminology 37, 843–877CrossRefGoogle Scholar
USDHHS. (1999). Mental Health: A Report of the Surgeon General: Executive Summary. Rockville, MD: U.S. Department of Health and Human Services
USDHHS. (2000). Report of the Surgeon General's Conference on Children's Mental Health: A National Action Agenda. Rockville, MD: U.S. Department of Health and Human Services
White, S. H., & Buka, S. L. (1987). Early education: Programs, traditions, and policies. In Rothkopf, E. Z. (Ed.), Review of Research in Education (Vol. 14). Washington, DC: American Educational Research AssociationGoogle Scholar
Young, M. E. (1997). Policy issues and implications of early child development. In Young, M. E. (Ed.), Early Child Development: Investing in Our Children's Future. Amsterdam: ElsevierGoogle Scholar

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