Journal of Youth and Adolescence

, Volume 43, Issue 7, pp 1096–1109 | Cite as

Are Stressful Developmental Processes of Youths Leading to Health Problems Amplified by Genetic Polymorphisms? The Case of Body Mass Index

  • Kandauda (K.A.S.) Wickrama
  • Catherine Walker O’Neal
  • Assaf Oshri
Empirical Research

Abstract

Although previous research has documented the adverse influence of early socioeconomic disadvantage on youths’ physical health outcomes and the increase in health inequalities over the early life course, little is known about genetically informed sequential life course developmental processes leading to health outcomes. Consistent with the life course-stress process perspective, we hypothesized that early socioeconomic adversity initiates a stress process over the early life course. This process involves the disrupted transition from adolescence to young adulthood, which increases the risk of health problems during young adulthood. Behavioral, psychosocial, and genetic data were collected from 12,424 adolescents (53 % female) over a period of 13 years participating in the nationally representative National Longitudinal Study of Adolescent Health (Add Health). Early cumulative socioeconomic adversity and the polygenic influence were measured using composite indices. The study provided evidence for stressful developmental processes of adolescents, involving parental rejection, depressive symptoms, and adolescents’ precocious transition. This longitudinal process was initiated by early cumulative socioeconomic adversity and eventuated with young adults’ increased body mass index (BMI). Furthermore, the study provided evidence for the influence of life context–gene interactions (G × E) on adolescents’ precocious development and young adult BMI (after controlling for the lagged measure) amplifying the stress process over the early life course. These findings emphasize the need for incorporating individual genetic characteristics in a longitudinal context into life course stress research. Furthermore, policies focused on eradicating childhood/adolescent adversities are necessary as well as youth programs and policies that promote youth competencies that aid in their successful transition to young adulthood.

Keywords

Early life adversity Genes Obesity 

References

  1. Amato, P. R., & Booth, A. (2001). The legacy of parents’ marital discord: Consequences for children’s marital quality. Journal of Personality and Social Psychology, 81(4), 627–638.PubMedCrossRefGoogle Scholar
  2. Appelhans, B. M., Pagoto, S. L., Peters, E. N., & Spring, B. J. (2010). HPA axis response to stress predicts short-term snack intake in obese women. Appetite, 54(1), 217–220.PubMedCentralPubMedCrossRefGoogle Scholar
  3. Bauman, L. J., Silver, E. J., & Stein, R. E. K. (2006). Cumulative social disadvantage and child health. Pediatrics, 117(4), 1321–1328.PubMedCrossRefGoogle Scholar
  4. Beaver, K. M., Wright, J. P., DeLisi, M., Walsh, A., Vaughn, M. G., Boisvert, D., et al. (2007). A gene × gene interaction between DRD2 and DRD4 is associated with conduct disorder and antisocial behavior in males. Behavioral and Brain Functions, 3(30), 1186–1193.Google Scholar
  5. Belsky, J., & Beaver, K. M. (2011). Cumulative-genetic plasticity, parenting, and adolescent self-regulation. Journal of Child Psychology and Psychiatry, 52(5), 619–626.PubMedCrossRefGoogle Scholar
  6. Belsky, J., Jonassaint, C., Pluess, M., Stanton, M., Brummett, B., & Williams, R. (2009). Vulnerability genes or plasticity genes? Molecular Psychiatry, 14(8), 746–754.PubMedCentralPubMedCrossRefGoogle Scholar
  7. Benoit, A., Lacourse, E., & Claes, M. (2013). Pubertal timing and depressive symptoms in late adolescence. The moderating role of individual, peer, and parental factors. Development and Psychopathology, 25, 455–471.PubMedCrossRefGoogle Scholar
  8. Berkman, L. F., & Kawachi, I. (2000). Social epidemiology. New York: Oxford University Press.Google Scholar
  9. Bernhardt, E., Gahler, M., & Scheider, F. G. (2005). The impact of childhood family structure and conflict on routes out of the parental home in Sweden. Acta Sociologica, 48(2), 99–115.CrossRefGoogle Scholar
  10. Brody, G. H., Yu, T., Chen, Y.-F., Kogan, S. M., Evans, G. W., Beach, S. R. H., et al. (2013). Cumulative socioeconomic status risk, allostatic load, and adjustment: A prospective latent profile analysis with contextual and genetic protective factors. Developmental Psychology, 49(5), 913–927.PubMedCentralPubMedCrossRefGoogle Scholar
  11. Brooks-Gunn, J., & Peterson, A. C. (1991). Studying the emergence of depression and depressive symptoms during adolescence. Journal of Youth and Adolescence, 20(2), 115–119.PubMedCrossRefGoogle Scholar
  12. Burdette, A. M., & Needham, B. L. (2012). Neighborhood environment and body mass index trajectories from adolescence to adulthood. Journal of Adolescent Health, 50(1), 30–37.PubMedCrossRefGoogle Scholar
  13. Caspi, A., & Moffitt, T. E. (2006). Gene–environment interactions in psychiatry: Joining forces with neuroscience. Nature Reviews Neuroscience, 7(7), 583–590.PubMedCrossRefGoogle Scholar
  14. Centers for Disease Control and Prevention. (2010). National Center for Chronic Disease Prevention and Health Promotion. Division of Adolescent and School Health. Healthy youth. http://www.cdc.gov/HealthyYouth/obesity/. Accessed December 9, 2013.
  15. Centers for Disease Control and Prevention. (2012). Health, United States, 2012: With special feature on emergency care. http://www.cdc.gov/nchs/data/hus/hus12.pdf#063. Accessed February 6, 2014.
  16. Conger, R. D., Conger, K. J., & Martin, M. J. (2010). Socioeconomic status, family processes, and individual development. Journal of Marriage and Family, 72(3), 685–704.PubMedCentralPubMedCrossRefGoogle Scholar
  17. Crosnoe, R. (2007). Gender, obesity, and education. Sociology of Education, 80, 241–260.CrossRefGoogle Scholar
  18. Dowd, J. B., Simanek, A. M., & Aiello, A. E. (2009). Socioeconomic status, cortisol and allostatic load: A review of the literature. International Journal of Epidemiology, 38(5), 1297–1309.PubMedCentralPubMedCrossRefGoogle Scholar
  19. Elder, G. H., Jr., George, L. K., & Shanahan, M. J. (1996). Psychological stress over the life course. In H. B. Kaplan (Ed.), Psychological stress: Perspective on structure, theory, life course, and methods (pp. 247–292). Orlando, FL: Academic Press.Google Scholar
  20. Elder, G. H., & Giele, J. Z. (2009). The craft of life course research. New York: Guildford Press.Google Scholar
  21. Emanuele, E., Brondino, N., Pesenti, S., Re, S., & Geroldi, D. (2007). Genetic loading on human loving styles. Neuro Endocrinology Letters, 28(6), 815–821.PubMedGoogle Scholar
  22. Enders, C. K. (2001). The performance of the full information maximum likelihood estimation in multiple regression models with missing data. Educational and Psychological Measurement, 61(5), 713–740.CrossRefGoogle Scholar
  23. Fagundes, C. P., Glaser, R., Hwang, B. S., Malarkey, W. B., & Kiecolt-Glaser, J. K. (2013). Depressive symptoms enhance stress-induced inflammatory responses. Brain, Behavior, and Immunity, 31, 172–176.PubMedCrossRefGoogle Scholar
  24. Falconer, D. S., & McKay, T. F. C. (1995). Introduction to quantitative genetics (4th ed.). Essex, UK: Pearson.Google Scholar
  25. Ferraro, K. F., & Kelley-Moore, J. A. (2003). Cumulative disadvantage and health: Long-term consequences of obesity? American Sociological Review, 68, 707–729.PubMedCentralPubMedCrossRefGoogle Scholar
  26. Finucane, M. M., Stevens, G. A., Cowan, M. J., Danaei, G., Lin, J. K., Paciorek, C. J., et al. (2011). National, regional, and global trends in body-mass index since 1980: Systematic analysis of health examination surveys and epidemiological studies with 960 country-years and 9.1 million participants. The Lancet, 377(9765), 557–567.CrossRefGoogle Scholar
  27. Fombonne, E., Wostear, G., Cooper, V., Harrington, R., & Rutter, M. (2001). The Maudsley long-term follow-up of child and adolescent depression 1. Psychiatric outcomes in adulthood. The British Journal of Psychiatry, 179(3), 210–217.PubMedCrossRefGoogle Scholar
  28. Foster, H., Hagan, J., & Brooks-Gunn, J. (2008). Growing up fast: Stress exposure and subjective “weathering” in emerging adulthood. Journal of Health and Social Behavior, 49(2), 162–177.PubMedCrossRefGoogle Scholar
  29. Ge, X., Lorenz, F. O., Conger, R. D., Elder, G. H., & Simons, R. L. (1994). Trajectories of stressful life events and depressive symptoms during adolescence. Developmental Psychology, 30(4), 467–483.CrossRefGoogle Scholar
  30. Hagan, J., & Wheaton, B. (1993). The search for adolescent role exits and the transition to adulthood. Social Forces, 71(4), 955–979.CrossRefGoogle Scholar
  31. Hariri, A. R., Drabant, E. M., & Weinberger, D. R. (2006). Imaging genetics: Perspectives from studies of genetically driven variation in serotonin function and corticolimbic affective processing. Biological Psychiatry, 59(10), 888–897.PubMedCrossRefGoogle Scholar
  32. Hariri, A. R., Mattay, V. S., Tessitore, A., Fera, F., & Weinberger, D. R. (2003). Neocortical modulation of the amygdala response to fearful stimuli. Biological Psychiatry, 53(6), 494–501.PubMedCrossRefGoogle Scholar
  33. Harris, K. M., Halpern, C. T., Smolen, A., & Haberstick, B. C. (2006). The National Longitudinal Study of Adolescent Health (Add Health) twin data. Twin Research and Human Genetics, 9(6), 988–997.PubMedCrossRefGoogle Scholar
  34. Jackson, P. B. (2004). Role sequencing: Does order matter for mental health? Journal of Health and Social Behavior, 45, 132–154.PubMedCrossRefGoogle Scholar
  35. Katon, W., Richardson, L., Russo, J., McCarty, C. A., Rockhill, C., McCauley, E., et al. (2010). Depressive symptoms in adolescence: The association with multiple health risk behaviors. General Hospital Psychiatry, 32(3), 233–239.PubMedCentralPubMedCrossRefGoogle Scholar
  36. Kim-Cohen, J., Caspi, A., Taylor, A., Williams, B., Newcombe, R., Craig, I. W., et al. (2006). MAOA, maltreatment, and gene–environment interaction predicting children’s mental health: New evidence and a meta-analysis. Molecular Psychiatry, 11(10), 903–913.PubMedCrossRefGoogle Scholar
  37. Knutson, K. L. (2005). Sex differences in the association between sleep and body mass index in adolescents. The Journal of Pediatrics, 147(6), 830–834.PubMedCrossRefGoogle Scholar
  38. Kreiter, M. S. (2003). Grown up at 21? No way. Washington, DC: United Press International (UPI). http://www.upi.com/Top_News/2003/05/08/ Grown-up-at-21-No-way/UPI-65441052421360/. Accessed December 9, 2013.
  39. Lynch, J. W., Kaplan, G. A., & Shema, S. J. (1997). Cumulative impact of sustained economic hardship on physical, cognitive, psychological, and social functioning. The New England Journal of Medicine, 337, 1889–1895.PubMedCrossRefGoogle Scholar
  40. Merten, M. J., Wickrama, K. A. S., & Williams, A. L. (2008). Adolescent obesity and young adult psychosocial outcomes: Gender and racial differences. Journal of Youth and Adolescence, 37, 1111–1122.CrossRefGoogle Scholar
  41. Mirowsky, J., & Ross, C. E. (1992). Age and depression. Journal of Health and Social Behavior, 33(3), 187–205.PubMedCrossRefGoogle Scholar
  42. Needham, B. L., & Crosnoe, R. (2005). Overweight status and depressive symptoms during adolescence. Journal of Adolescent Health, 36, 48–55.PubMedCrossRefGoogle Scholar
  43. Ng, D. M., & Jeffery, R. W. (2003). Relationships between perceived stress and health behaviors in a sample of working adult. Health Psychology, 22, 638–642.PubMedCrossRefGoogle Scholar
  44. O’Rand, A. M., & Hamil-Luker, J. (2005). Processes of cumulative adversity: Childhood disadvantage and increased risk of heart attack across the life course. The Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 60(Special Issue 2), S117–S124.CrossRefGoogle Scholar
  45. Oshri, A., Rogosch, F. A., Burnette, M. L., & Cicchetti, D. (2011). Developmental pathways to adolescent cannabis abuse and dependence: Child maltreatment, emerging personality, and internalizing versus externalizing psychopathology. Psychology of Addictive Behaviors, 25(4), 634–644.PubMedCentralPubMedCrossRefGoogle Scholar
  46. Oshri, A., Rogosch, F. A., & Cicchetti, D. (2013). Child maltreatment and mediating influences of childhood personality types on the development of adolescent psychopathology. Journal of Clinical Child and Adolescent Psychology, 43(3), 287–301.CrossRefGoogle Scholar
  47. Pearlin, L. I., Schieman, S., Fazio, E. M., & Meersman, S. C. (2005). Stress, health, and the life course: Some conceptual perspectives. Journal of Health and Social Behavior, 46(2), 205–219.PubMedCrossRefGoogle Scholar
  48. Pederson, N. L., Spotts, E., & Kato, K. (2005). Genetic influences on midlife functioning. In S. L. Willis & M. Martin (Eds.), Middle adulthood: A life span perspective (pp. 65–98). Thousand Oaks, CA: Sage.CrossRefGoogle Scholar
  49. Radloff, L. S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1(3), 385–401.Google Scholar
  50. Richardson, L. P., Davis, R., Poulton, R., McCauley, E., Moffitt, T. E., Caspi, A., et al. (2003). A longitudinal evaluation of adolescent depression and adult obesity. Archives of Pediatrics and Adolescent Medicine, 157(8), 739–745.PubMedCrossRefGoogle Scholar
  51. Rietveld, C. A., Medland, S. E., Derringer, J., Yang, J., Esko, T., Martin, N. W., et al. (2013). GWAS of 126,559 individuals identifies genetic variants associated with educational attainment. Science, 340(6139), 1467–1471.Google Scholar
  52. Ross, C. E., & Mirowsky, J. (2001). Neighborhood disadvantage, disorder, and health. Journal of Health and Social Behavior, 42(3), 258–276.PubMedCrossRefGoogle Scholar
  53. Scaramella, L. V., Conger, R. D., Simons, R. L., & Whitbeck, L. B. (1998). Predicting risk for pregnancy by late adolescence: A social contextual perspective. Developmental Psychology, 34, 1233–1245.PubMedCrossRefGoogle Scholar
  54. Schoen, R., Landale, N. S., & Daniels, K. (2007). Family transitions in young adulthood. Demography, 44, 807–820.PubMedCrossRefGoogle Scholar
  55. Shanahan, M. J. (2000). Pathways to adulthood in changing societies: Variability. Annual Review of Sociology, 26, 667–692.CrossRefGoogle Scholar
  56. Shanahan, M. J., & Boardman, J. D. (2009). Gene–environment interplay across the life course: Overview and problematics at a new frontier. In J. Z. Giele & G. H. Elder Jr. (Eds.), Methods of life course research: Qualitative and quantitative approaches. Thousand Oaks, CA: Sage.Google Scholar
  57. Simons, R. L., Lei, M. K., Stewart, E. A., Beach, S. R. H., Brody, G. H., Philibert, R. A., et al. (2012). Social adversity, genetic variation, street code, and aggression: A genetically informed model of violent behavior. Youth Violence and Juvenile Justice, 10(1), 3–24.PubMedCentralPubMedCrossRefGoogle Scholar
  58. Stice, E., Yokum, S., Bohon, C., Marti, N., & Smolen, A. (2010). Reward circuitry responsivity to food predicts future increases in body mass: Moderating effects of DRD2 and DRD4. Neuroimage, 50(4), 1618–1625.PubMedCentralPubMedCrossRefGoogle Scholar
  59. Sucoff, C. A., & Upchurch, D. M. (1998). Neighborhood context and the risk of childbearing among metropolitan—Are Black adolescents. American Sociological Review, 63, 571–585.CrossRefGoogle Scholar
  60. Thoits, P. A. (1995). Identity-relevant events and psychological symptoms: A cautionary tale. Journal of Health and Social Behavior, 36, 72–82.PubMedCrossRefGoogle Scholar
  61. Wheaton, B., & Gotlib, I. H. (1997). Trajectories and turning points over the life course: Concepts and themes. In I. H. Gotlib & B. Wheaton (Eds.), Stress and adversity over the life course: Trajectories and turning points (pp. 1–25). Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
  62. Wickrama, K. A. S., Conger, R. D., Lorenz, F. O., & Jung, T. (2008). Family antecedents and consequences of trajectories of depressive symptoms from adolescence to young adulthood: A life course investigation. Journal of Health and Social Behavior, 49(4), 468–483.PubMedCentralPubMedCrossRefGoogle Scholar
  63. Wickrama, K. A. S., Lee, T. K., & O’Neal, C. W. (2013a). Mothers’ marital history and the physical and mental health of young adults: An investigation over the early life course. Journal of Adolescence, 36(6), 1039–1051.PubMedCrossRefGoogle Scholar
  64. Wickrama, K. A. S., Merten, M. J., & Elder, G. H., Jr. (2005). Community influence on adolescent precocious development: Racial differences and mental health consequences. Journal of Community Psychology, 33, 639–653.CrossRefGoogle Scholar
  65. Wickrama, K. A. S., & Noh, S. (2010). The long arm of community: The influence of childhood community contexts across the early life course. Journal of Youth and Adolescence, 39(8), 894–910.PubMedCrossRefGoogle Scholar
  66. Wickrama, K. A. S., & O’Neal, C. W. (2013). Family of origin, race/ethnicity, and socioeconomic attainment: Genotype and intraindividual processes. Journal of Marriage and Family, 75(1), 75–90.CrossRefGoogle Scholar
  67. Wickrama, K. A. S., O’Neal, C. W., & Lee, T. K. (2013b). Early community context, genes, and youth body mass index trajectories: An investigation of gene-community interplay over early life course. Journal of Adolescent Health, 53(3), 328–334.PubMedCrossRefGoogle Scholar
  68. Wickrama, K. A. S., Surjadi, F. F., & Bryant, C. M. (2011). Work, marriage, and health behaviors of African American working couples. Personal Relationships, 18(4), 519–531.CrossRefGoogle Scholar
  69. Wickrama, K. A. S., Wickrama, T., & Lott, R. (2009). Heterogeneity in youth depressive symptom trajectories: Social stratification and implications for young adult physical health. Journal of Adolescent Health, 45(4), 343–353.CrossRefGoogle Scholar
  70. World Health Organization. (2002). The world health report: Reducing risks, promoting healthy life. http://www.who.int/whr/2002/en/whr02_en.pdf. Accessed December 9, 2013.
  71. Zhong, S., Israel, S., Xue, H., Sham, P. C., Ebstein, R. P., & Chew, S. H. (2009). A neurochemical approach to valuation sensitivity over gains and losses. Proceedings of the Royal Society B, 276, 4181–4188.PubMedCentralPubMedCrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Kandauda (K.A.S.) Wickrama
    • 1
  • Catherine Walker O’Neal
    • 2
  • Assaf Oshri
    • 3
  1. 1.Department of Human Development and Family Science, 103 Family Science Center IUniversity of GeorgiaAthensUSA
  2. 2.Department of Human Development and Family Science, 261 Dawson HallUniversity of GeorgiaAthensUSA
  3. 3.Department of Human Development and Family Science, 208 Family Science Center IUniversity of GeorgiaAthensUSA

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