Hostname: page-component-78c5997874-s2hrs Total loading time: 0 Render date: 2024-11-10T08:52:42.818Z Has data issue: false hasContentIssue false

Genetic and environmental influences on internalizing psychopathology vary as a function of economic status

Published online by Cambridge University Press:  18 March 2010

S. C. South*
Affiliation:
Purdue University, West Lafayette, IN, USA
R. F. Krueger
Affiliation:
Washington University in St. Louis, St Louis, MO, USA
*
*Address for correspondence: Dr S. C. South, Department of Psychological Sciences, Purdue University, 703 Third Street, West Lafayette, IN 47907, USA. (Email: ssouth@purdue.edu)

Abstract

Background

Different theories of the link between socio-economic status (SES) and mental illness have been postulated. In particular, two theories of this association, social causation and social selection, differ in the implied causal pathway. The authors employ behavior genetic modeling to consider evidence for both social selection and social causation in the relationship between income variation and internalizing disorders.

Method

Behavior genetic modeling was used to estimate the presence of gene–environment interaction (GxE, social causation) in the presence of gene–environment correlation (rGE, social selection). Participants were members of a sample of 719 twin pairs from the Midlife in the United States study. Four internalizing (INT) syndromes were assessed: major depression (MD); generalized anxiety disorder (GAD); panic attacks (PA); neuroticism (N). SES was measured with total family household income.

Results

One factor best accounted for the variance shared between MD, GAD, PA and N. The etiology of variation in INT changed from high to low levels of income, with unique environmental factors playing a larger role in INT variation at lower levels of income. Across levels of income, rGE between income and INT was modest (low income ra=0.39 to high income ra=0.54), implying a selection process operating through genetic effects linking lower income with INT psychopathology.

Conclusions

Findings support social causation by suggesting that low income contributes significantly to environmental variation in INT. Modest support was found for social selection, but should be extended using longitudinal designs. Effective interventions for internalizing psychopathology may differ depending on income.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2010

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Akaike, H (1987). Factor analysis and AIC. Psychometrika 52, 317332.CrossRefGoogle Scholar
Berkman, LF, Kawachi, I (2000). Social Epidemiology. Oxford University Press: New York.CrossRefGoogle Scholar
Bradley, RH, Corwyn, RF (2002). Socioeconomic status and child development. Annual Review of Psychology 53, 371–99.CrossRefGoogle ScholarPubMed
Bronfenbrenner, U, Ceci, SJ (1994). Nature-nurture reconceptualized in developmental perspective: a bioecological model. Psychological Review 101, 568586.CrossRefGoogle ScholarPubMed
Bruce, ML, Takeuchi, DT, Leaf, PJ (1991). Poverty and psychiatric status: longitudinal evidence from the New Haven Epidemiologic Catchment Area study. Archives of General Psychiatry 48, 470474.CrossRefGoogle ScholarPubMed
Caspi, A, Elder, GHJ, Bem, DJ (1987). Moving against the world: life-course patterns of explosive children. Developmental Psychology 23, 308313.CrossRefGoogle Scholar
Caspi, A, Taylor, A, Moffitt, TE, Plomin, R (2000). Neighborhood deprivation affects children's mental health: Environmental risks identified in a genetic design. Psychological Science 11, 338342.CrossRefGoogle Scholar
Chen, Y-Y, Subramanian, S, Acevedo-Garcia, D, Kawachi, I (2005). Women's status and depressive symptoms: a multilevel analysis. Social Science, Medicine 60, 4960.CrossRefGoogle ScholarPubMed
Cohen, A, Houck, PR, Szanto, K, Dew, MA, Gilman, SE, Reynolds, CF (2006). Social inequalities in response to antidepressant treatment in older adults. Archives of General Psychiatry 63, 5056.CrossRefGoogle ScholarPubMed
Conger, RD, Donnellan, MB (2007). An interactionist perspective on the socioeconomic context of human development. Annual Review of Psychology 58, 175199.CrossRefGoogle ScholarPubMed
Cook, RD, Weisberg, S (1999). Applied Regression Including Computing and Graphics. Wiley: New York.CrossRefGoogle Scholar
Costello, EJ, Compton, SN, Keeler, G, Angold, A (2003). Relationships between poverty and psychopathology: a natural experiment. Journal of the American Medical Association 290, 20232029.CrossRefGoogle ScholarPubMed
Cronk, NJ, Slutske, WS, Madden, PAF, Bucholz, KK, Heath, AC (2004). Risk for separation anxiety disorder among girls: paternal absence, socioeconomic disadvantage and genetic vulnerability. Journal of Abnormal Psychology 113, 237247.CrossRefGoogle ScholarPubMed
Dohrenwend, BP, Dohrenwend, BS (1969). Social Status and Psychological Disorder. New York: Wiley.Google Scholar
Dohrenwend, BP, Levav, I, Shrout, PE, Schwartz, S, Naveh, G, Link, BG, Skodol, AE, Stueve, A (1992). Socioeconomic status and psychiatric disorders: The causation-selection issue. Science 255, 946952.CrossRefGoogle ScholarPubMed
Eaton, WM, Mutaner, C, Bovasso, G, Smith, C (2001). The role of inter- and intra-generational mobility, government assistance, and work environment. Journal of Health and Social Behavior 42, 277294.CrossRefGoogle ScholarPubMed
Faris, REL, Dunham, WW (1939). Mental Disorders in Urban Areas. University of Chicago Press: Chicago.Google Scholar
Hettema, JM, Neale, MC, Myers, JM, Prescott, C, Kendler, KS (2006). A population-based twin study of the relationship between neuroticism and internalizing disorders. American Journal of Psychiatry 163, 857864.CrossRefGoogle ScholarPubMed
Hollingshead, AB, Redlich, FC (1958). Social Class and Mental Illness. John Wiley Sons, Inc: New York.CrossRefGoogle Scholar
Hu, L, Bentler, PM (1999). Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Structural Equation Modeling 6, 155.CrossRefGoogle Scholar
Johnson, JG, Cohen, P, Dohrenwend, BP, Link, BG, Brook, JS (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, 490499.CrossRefGoogle ScholarPubMed
Johnson, W, Krueger, RF (2005). Higher perceived life control decreases genetic variance in physical health: evidence from a national twin study. Journal of Personality and Social Psychology 88, 165173.CrossRefGoogle ScholarPubMed
Johnson, W, Krueger, RF (2006). How money buys happiness: genetic and environmental processes linking finances and life satisfaction. Journal of Personality and Social Psychology 90, 680691.CrossRefGoogle ScholarPubMed
Kahn, RS, Wise, PH, Kennedy, BP, Kawachi, I (2000). State income inequality, household income, and maternal mental and physical health: cross sectional national survey. British Medical Journal 321, 13111315.CrossRefGoogle ScholarPubMed
Kendler, KS, Prescott, CA, Myers, J, Neale, MC (2003). The structure of genetic and environmental risk factors for common psychiatric and substance use disorders in men and women. Archives of General Psychiatry 60, 929937.CrossRefGoogle ScholarPubMed
Kendler, KS, Thornton, LM, Gilman, SE, Kessler, RC (2000). Sexual orientation in a national sample of twin and sibling pairs. American Journal of Psychiatry 157, 18431846.CrossRefGoogle Scholar
Kessler, RC, Andrews, G, Mroczek, D, Ustun, B, Wittchen, H-U (1998 a). The World Health Organization Composite International Diagnostic Interview Short-Form (CIDI-SF). International Journal of Methods in Psychiatric Research 7, 171185.CrossRefGoogle Scholar
Kessler, RC, Gilman, SE, Thornton, LM, Kendler, KS (2004). Health, wellbeing, and social responsibility in the MIDUS twin and sibling subsamples. In How Healthy Are We? A National Study of Wellbeing at Midlife (ed. Brim, O. G., Ryff, C. D. and Kessler, R. C.), pp. 124152. University of Chicago Press: Chicago.Google Scholar
Kessler, RC, McGonagle, KA, Zhao, S, Nelson, CB, Hughes, M, Eshleman, S, Wittchen, H-U, Kendler, KS (1994). Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States: results from the National Comorbidity Study. Archives of General Psychiatry 51, 8–19.CrossRefGoogle Scholar
Kessler, RC, Wittchen, H-U, Abelson, JM, Kendler, KS, Knauper, B, McGonagle, KA, Schwarz, N, Zhao, S (1998 b). Methodological studies of the composite international diagnostic interview (CIDI) in the US national comorbidity survey. International Journal of Methods in Psychiatric Research 7, 3355.CrossRefGoogle Scholar
Kohn, R, Dohrenwend, BP, Mirotznik, J (1998). Epidemiological findings on selected psychiatric disorders in the general population. In Adversity, Stress, and Psychopathology (ed. Dohrenwend, B. P.), pp. 235284. Oxford Press: London.CrossRefGoogle Scholar
Krueger, RF (1999). The structure of common mental disorders. Archives of General Psychiatry 56, 921926.CrossRefGoogle ScholarPubMed
Lachman, ME, Weaver, SL (1997). The Midlife Development Inventory (MIDI) Personality Scales: Scale Construction and Scoring. Brandeis University: Waltham, MA.Google Scholar
Levav, I, Zilber, N, Danielovich, E, Aisenberg, E, Turetsky, N (1987 a). The etiology of schizophrenia: a replication test of the social selection vs. social causation hypotheses. Acta Psychiatrica Scandinavica 75, 183189.CrossRefGoogle ScholarPubMed
Levav, I, Zilber, NDE, Aisenberg, E, Turetsky, N (1987 b). The etiology of schizophrenia: a replication test of the social selection vs. social causation hypotheses. Acta Psychiatrica Scandinavica 75, 183189.CrossRefGoogle ScholarPubMed
Link, BG, Dohrenwend, BP, Skodol, AE (1986). Socio-economic status and schizophrenia: Noisome occupational characteristics as a risk factor. American Sociological Review 51, 242258.CrossRefGoogle Scholar
Link, BG, Lennon, MC, Dohrenwend, BP (1993). Socioeconomic status and depression: The role of occupations involving direction, control, and planning. American Journal of Sociology 98, 13511387.CrossRefGoogle Scholar
Lykken, DT, Bouchard, TJ, McGue, M, Tellegen, A (1990). The Minnesota Twin Family Registry: some initial findings. Acta Genetica Medica Gemellologica 39, 3570.CrossRefGoogle ScholarPubMed
McGue, M, Bouchard, TJ (1984). Quality of twin data for the effects of age and sex. Behavior Genetics 14, 325343.CrossRefGoogle Scholar
McLeod, JD, Shanahan, M (1996). Trajectories of poverty and children's mental health. Journal of Health and Social Behavior 37, 207220.CrossRefGoogle ScholarPubMed
Markon, K, Krueger, RF (2004). An empirical comparison of information-theoretic selection criteria for multivariate behavior genetic models. Behavior Genetics 34, 593610.CrossRefGoogle ScholarPubMed
Miech, RA, Caspi, A, Moffitt, TE, Wright, BRE, Silva, PA (1999). Low socioeconomic status and mental disorders: a longitudinal study of selection and causation during young adulthood. American Journal of Sociology 104, 10961131.CrossRefGoogle Scholar
Moffitt, TE (2006). The new look of behavioral genetics in developmental psychopathology: gene-environment interplay in antisocial behaviors. Psychological Bulletin 131, 533554.CrossRefGoogle Scholar
Munk, JP, Mortensen, PB (1992). Social outcome in schizophrenia: a 13-year follow-up. Social Psychiatry, Psychiatric Epidemiology 27, 129134.CrossRefGoogle Scholar
Murphy, JM, Olivier, DC, Monson, RR, Sobol, AM, Federman, EB, Leighton, AH (1991). Depression and anxiety in relation to social status: a prospective epidemiologic study. Archives of General Psychiatry 48, 223229.CrossRefGoogle ScholarPubMed
Muthén, LK, Muthén, BO (1998–2007). Mplus User's Guide. Muthen, Muthen: Los Angeles, CA.Google Scholar
Neale, MC, Boker, SM, Xie, G, Maes, HH (2003). Mx: Statistical Modeling. Department of Psychiatry: VCU Box 900126, Richmond, VA.Google Scholar
Neale, MC, Maes, HHM (in press). Methodology for Genetic Studies of Twins and Families. Kluwer Academic Publishers: Dordrecht.CrossRefGoogle Scholar
Purcell, S (2002). Variance components models for gene-environment interaction in twin analysis. Twin Research 5, 554571.CrossRefGoogle ScholarPubMed
Raine, A (2002). Biosocial studies of antisocial and violent behavior in children and adults: a review. Journal of Abnormal Child Psychology 30, 311326.CrossRefGoogle ScholarPubMed
Ritsher, J, Warner, EB, Johnson, JG, Dohrenwend, BP (2001). Inter-generational longitudinal study of social class and depression: a test of social causation and social selection models. British Journal of Psychiatry 178, s84s90.CrossRefGoogle Scholar
Rutter, M, Moffitt, TE, Caspi, A (2006). Gene-environment interplay and psychopathology: Multiple varieties but real effects. Journal of Child Psychology and Psychiatry 47, 226261.CrossRefGoogle ScholarPubMed
South, SC, Krueger, RF (2008). Marital quality moderates genetic and environmental influences on the internalizing spectrum. Journal of Abnormal Psychology 117, 826837.CrossRefGoogle ScholarPubMed
Turkheimer, E, D'Onofrio, BM, Maes, HH, Eaves, LJ (2005). Analysis and interpretation of twin studies including measures of the shared environment. Child Development 76, 12171233.CrossRefGoogle ScholarPubMed
Turkheimer, E, Haley, A, Waldron, M, D'Onofrio, B, Gottesman, II (2003). Socioeconomic status modifies heritability of IQ in young children. Psychological Science 14, 623628.CrossRefGoogle ScholarPubMed
Turner, RJ, Wheaton, B, Lloyd, DA (1995). The epidemiology of social stress. American Sociological Review 60, 104125.CrossRefGoogle Scholar
Tuvblad, C, Grann, M, Lichtenstein, P (2006). Heritability for adolescent antisocial behavior differs with socioeconomic status: gene-environment interaction. Journal of Child Psychology and Psychiatry 47, 734743.CrossRefGoogle ScholarPubMed
Wadsworth, ME, Achenbach, TM (2005). Explaining the link between low socioeconomic status and psychopathology: testing two mechanisms of the social causation hypothesis. Journal of Consulting and Clinical Psychology 73, 11461153.CrossRefGoogle ScholarPubMed
Ward, EC (2007). Examining differential treatment effects for depression in racial and ethnic minority women: a qualitative systematic review. Journal of the National Medical Association 99, 265274.Google ScholarPubMed
Watson, D (2005). Rethinking the mood and anxiety disorders: a quantitative hierarchical model for DSM-V. Journal of Abnormal Psychology 114, 522536.CrossRefGoogle ScholarPubMed
Weissman, MM, Bruce, ML, Leaf, PJ, Florio, LP, Holzer, CE (1991). Affective disorders. In Psychiatric Disorders in America (ed. Robins, L. N. and Regier, D. A.), pp. 5380. New York: The Free Press.Google Scholar
Wender, PH, Kety, SS, Rosenthal, D, Schlesinger, F, Ortmann, J, Lunde, I (1986). Psychiatric disorders in the biological and adoptive families of adopted individuals with affective disorders. Archives of General Psychiatry 43, 923929.CrossRefGoogle ScholarPubMed
Wheaton, B (1978). The sociogenesis of psychological disorder: re-examining the causal issues with longitudinal data. American Sociological Review 43, 383403.CrossRefGoogle Scholar
Wittchen, HU (1994). Reliability and validity studies of the WHO composite international diagnostic interview (CIDI): a critical review. Journal of Psychiatric Research 28, 5784.CrossRefGoogle ScholarPubMed