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Profiles of psychosocial and clinical functioning in adolescence and risk for later depression and other outcomes

Published online by Cambridge University Press:  29 August 2019

Thomas M. Olino Open the ORCID record for Thomas M. Olino [Opens in a new window] ,
Daniel N. Klein  and
John R. Seeley
Thomas M. Olino*
Affiliation:
Department of Psychology, Temple University, Weiss Hall, Philadelphia, PA19122, USA
Daniel N. Klein
Affiliation:
Stony Brook University, Stony Brook, NY, USA
John R. Seeley
Affiliation:
University of Oregon & Oregon Research Institute, Eugene, OR, USA
*
Author for correspondence: Thomas M. Olino, E-mail: [email protected]
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Abstract

Background

Most studies examining predictors of the onset of depression focus on variable centered regression methods that focus on the effects of multiple predictors. In contrast, person-centered approaches develop profiles of factors and these profiles can be examined as predictors of onset. Here, we developed profiles of adolescent psychosocial and clinical functioning among adolescents without a history of major depression.

Methods

Data come from a subsample of participants from the Oregon Adolescent Depression Project who completed self-report measures of functioning in adolescence and completed diagnostic and self-report measures at follow-up assessments up to approximately 15 years after baseline.

Results

We identified four profiles of psychosocial and clinical functioning: Thriving; Average Functioning; Externalizing Vulnerability and Family Stress and Internalizing Vulnerability at the baseline assessment of participants without a history of depression at the initial assessment in mid-adolescence. Classes differed in the likelihood of onset and course of depressive disorders, experience of later anxiety and substance use disorders, and psychosocial functioning in adulthood. Moreover, the predictive utility of these classes was maintained when controlling for multiple other established risk factors for depressive disorders.

Conclusions

This work highlights the utility of examining multiple factors simultaneously to understand risk for depression.

Keywords

Depression risklatent profilespsychosocial functioning
Type
Original Articles
Information
Psychological Medicine , Volume 50 , Issue 12 , September 2020 , pp. 2066 - 2074
Copyright
Copyright © Cambridge University Press 2019

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References

Alloy, LB, Abramson, LY, Hogan, ME, Whitehouse, WG, Rose, DT, Robinson, MS, Kim, RS and Lapkin, JB (2000) The Temple-Wisconsin cognitive vulnerability to depression project: lifetime history of axis I psychopathology in individuals at high and low cognitive risk for depression. Journal of Abnormal Psychology 109, 403–418.CrossRefGoogle ScholarPubMed
American Psychiatric Association (1987) Diagnostic and Statistical Manual of Mental Disorders, 3rd Edn, rev. Washington, DC.Google Scholar
American Psychiatric Association (1994) Diagnostic and Statistical Manual of Mental Disorders, 4th Edn, rev. Washington, DC.Google Scholar
Andrews, FM and Withey, SB (1976) Social Indicators of Well-Being: Americans’ Perceptions of Life Quality. New York, NY: Plenum Press.CrossRefGoogle Scholar
Asparouhov, T and Muthén, B (2014) Auxiliary Variables in Mixture Modeling: Using the BCH Method in Mplus to Estimate a Distal Outcome Model and an Arbitrary Secondary Model. Los Angeles, CA: UCLA.Google Scholar
Bittner, A, Egger, HL, Erkanli, A, Jane Costello, E, Foley, DL and Angold, A (2007) What do childhood anxiety disorders predict? Journal of Child Psychology and Psychiatry 48, 1174–1183.CrossRefGoogle ScholarPubMed
Campbell, A, Converse, PE and Rodgers, WL (1976) The Quality of American Life: Perceptions, Evaluations, and Satisfactions. New York, NY: Russell Sage Foundation.Google Scholar
Caspi, A, Houts, RM, Belsky, DW, Harrington, H, Hogan, S, Ramrakha, S, Poulton, R and Moffitt, TE (2017) Childhood forecasting of a small segment of the population with large economic burden. Nature Human Behaviour 1, https://doi.org/10.1038/s41562-016-0005.CrossRefGoogle Scholar
Cyranowski, JM, Frank, E, Young, E and Shear, MK (2000) Adolescent onset of the gender difference in lifetime rates of major depression: a theoretical model. Archives of General Psychiatry 57, 21–27.CrossRefGoogle ScholarPubMed
Farmer, RF, Kosty, DB, Seeley, JR, Olino, TM and Lewinsohn, PM (2013) Aggregation of lifetime Axis I psychiatric disorders through age 30: Incidence, predictors, and associated psychosocial outcomes. Journal of abnormal psychology 122, 573–586.CrossRefGoogle ScholarPubMed
Farmer, RF, Seeley, JR, Kosty, DB and Lewinsohn, PM (2009) Refinements in the hierarchical structure of externalizing psychiatric disorders: patterns of lifetime liability from mid-adolescence through early adulthood. Journal of Abnormal Psychology 118, 699–710.CrossRefGoogle ScholarPubMed
First, MB, Spitzer, RL, Gibbon, M and Williams, JBW (1996) The Structured Clinical Interview for DSM-IV Axis I Disorders, Non-patient Edn. New York: Biometrics Research Department, New York State Psychiatric Institute.Google Scholar
Fleiss, JL (1981) The measurement of interrater agreement Statistical methods for rates and proportions, (Vol. 2). New York: Wiley. pp. 212–236.Google Scholar
Goodman, SH and Gotlib, IH (eds) (2002) Children of Depressed Parents: Mechanisms of Risk and Implications for Treatment. Washington, DC: American Psychological Association.CrossRefGoogle Scholar
Goodman, SH, Rouse, MH, Connell, AM, Broth, MR, Hall, CM and Heyward, D (2011) Maternal depression and child psychopathology: a meta-analytic review. Clinical Child and Family Psychology Review 14, 1–27.CrossRefGoogle ScholarPubMed
Grant, BF, Goldstein, RB, Chou, SP, Huang, B, Stinson, FS, Dawson, DA, Saha, TD, Smith, SM, Pulay, AJ and Pickering, RP (2009) Sociodemographic and psychopathologic predictors of first incidence of DSM-IV substance use, mood and anxiety disorders: results from the Wave 2 National Epidemiologic Survey on Alcohol and Related Conditions. Molecular Psychiatry 14, 1051–1066.CrossRefGoogle ScholarPubMed
Groenman, AP, Janssen, TW and Oosterlaan, J (2017) Childhood psychiatric disorders as risk factor for subsequent substance abuse: a meta-analysis. Journal of the American Academy of Child and Adolescent Psychiatry 56, 556–569.CrossRefGoogle ScholarPubMed
Hallquist, MN and Wright, AG (2014) Mixture modeling methods for the assessment of normal and abnormal personality, Part I: Cross-sectional models. Journal of Personality Assessment 96, 256–268.CrossRefGoogle ScholarPubMed
Hammen, C (2006) Stress generation in depression: reflections on origins, research, and future directions. Journal of Clinical Psychology 62, 1065–1082.CrossRefGoogle ScholarPubMed
Hankin, BL (2012) Future directions in vulnerability to depression among youth: integrating risk factors and processes across multiple levels of analysis. Journal of Clinical Child and Adolescent Psychology 41, 695–718.CrossRefGoogle ScholarPubMed
Hankin, BL, Abramson, LY, Moffitt, TE, Silva, PA, Mcgee, R and Angell, KE (1998) Development of depression from preadolescence to young adulthood: emerging gender differences in a 10-year longitudinal study. Journal of Abnormal Psychology 107, 128–140.CrossRefGoogle Scholar
Hirsch, JK, Duberstein, PR, Conner, KR, Heisel, MJ, Beckman, A, Franus, N and Conwell, Y (2007) Future orientation moderates the relationship between functional status and suicide ideation in depressed adults. Depression and Anxiety 24, 196–201.CrossRefGoogle ScholarPubMed
Hong, RY and Cheung, MW-L (2015) The structure of cognitive vulnerabilities to depression and anxiety: evidence for a common core etiologic process based on a meta-analytic review. Clinical Psychological Science 3, 892–912.CrossRefGoogle Scholar
Hyde, JS, Mezulis, AH and Abramson, LY (2008) The ABCs of depression: integrating affective, biological, and cognitive models to explain the emergence of the gender difference in depression. Psychological Review 115, 291–313.CrossRefGoogle ScholarPubMed
Keller, MB, Lavori, PW, Friedman, B, Nielsen, E, Endicott, J, Mcdonald-Scott, P and Andreasen, NC (1987) The longitudinal interval follow-up evaluation – a comprehensive method for assessing outcome in prospective longitudinal-studies. Archives of General Psychiatry 44, 540–548.CrossRefGoogle ScholarPubMed
Kendler, KS, Gardner, CO and Prescott, CA (2002) Toward a comprehensive developmental model for major depression in women. American Journal of Psychiatry 159, 1133–1145.CrossRefGoogle Scholar
Kendler, KS, Hettema, JM, Butera, F, Gardner, CO and Prescott, CA (2003) Life event dimensions of loss, humiliation, entrapment, and danger in the prediction of onsets of major depression and generalized anxiety. Archives of General Psychiatry 60, 789–796.CrossRefGoogle ScholarPubMed
Kessler, RC, Chiu, WT, Demler, O and Walters, EE (2005) Prevalence, severity, and comorbidity of 12-month DSM-IV disorders in the National Comorbidity Survey Replication. Archives of General Psychiatry 62, 617–627.CrossRefGoogle ScholarPubMed
Kim-Cohen, J, Caspi, A, Moffitt, TE, Harrington, HL, Milne, BJ and Poulton, R (2003) Prior juvenile diagnoses in adults with mental disorder developmental follow-back of a prospective-longitudinal cohort. Archives of General Psychiatry 60, 709–717.CrossRefGoogle ScholarPubMed
Klein, DN, Lewinsohn, PM, Rohde, P, Seeley, JR and Olino, TM (2005) Psychopathology in the adolescent and young adult offspring of a community sample of mothers and fathers with major depression. Psychological Medicine 35, 353–365.CrossRefGoogle Scholar
Klein, DN, Shankman, SA, Lewinsohn, PM and Seeley, JR (2009) Subthreshold depressive disorder in adolescents: predictors of escalation to full-syndrome depressive disorders. Journal of the American Academy of Child and Adolescent Psychiatry 48, 703–710.CrossRefGoogle ScholarPubMed
Klein, DN, Glenn, CR, Kosty, DB, Seeley, JR, Rohde, P and Lewinsohn, PM (2013) Predictors of first lifetime onset of major depressive disorder in young adulthood. Journal of Abnormal Psychology 122, 1–6.CrossRefGoogle ScholarPubMed
Leckman, JF, Sholomskas, D, Thompson, WD, Belanger, A and Weissman, MM (1982) Best estimate of lifetime psychiatric-diagnosis – a methodological study. Archives of General Psychiatry 39, 879–883.CrossRefGoogle ScholarPubMed
Lewinsohn, PM, Hops, H, Roberts, RE, Seeley, JR and Andrews, JA (1993) Adolescent psychopathology: I. Prevalence and incidence of depression and other DSM-III–R disorders in high school students. Journal of Abnormal Psychology 102, 133–144.CrossRefGoogle ScholarPubMed
Lewinsohn, PM, Clarke, GN, Seeley, JR and Rohde, P (1994) Major depression in community adolescents: age at onset, episode duration, and time to recurrence. Journal of the American Academy of Child and Adolescent Psychiatry 33, 809–818.CrossRefGoogle ScholarPubMed
Lewinsohn, PM, Rohde, P, Seeley, JR, Klein, DN and Gotlib, IH (2003) Psychosocial functioning of young adults who have experienced and recovered from major depressive disorder during adolescence. Journal of Abnormal Psychology 112, 353–363.CrossRefGoogle ScholarPubMed
Lewinsohn, PM, Olino, TM and Klein, DN (2005) Psychosocial impairment in offspring of depressed parents. Psychological Medicine 35, 1493–1503.CrossRefGoogle ScholarPubMed
Lynch, FL and Clarke, GN (2006) Estimating the economic burden of depression in children and adolescents. American Journal of Preventive Medicine 31, 143–151.CrossRefGoogle ScholarPubMed
Mannuzza, S and Fyer, AJ (1990) Family informant schedule and criteria (FISC), July 1990 revision.Google Scholar
Muthén, BO and Muthén, LK (2000) Integrating person-centered and variable-centered analyses: growth mixture modeling with latent trajectory classes. Alcoholism: Clinical and Experimental Research 24, 882–891.CrossRefGoogle ScholarPubMed
Muthén, LK and Muthén, BO (1998–2018) Mplus User's Guide, Eighth Edn. Los Angeles, CA: Muthén & Muthén.Google Scholar
Nolen-Hoeksema, S and Watkins, ER (2011) A heuristic for developing transdiagnostic models of psychopathology: explaining multifinality and divergent trajectories. Perspectives on Psychological Science 6, 589–609.CrossRefGoogle ScholarPubMed
Nylund, KL, Asparouhov, T and Muthén, BO (2007) Deciding on the number of classes in latent class analysis and growth mixture modeling: a Monte Carlo simulation study. Structural Equation Modeling 14, 535–569.CrossRefGoogle Scholar
Olino, TM (2016) Future research directions in the positive valence systems: measurement, development, and implications for Youth Unipolar Depression. Journal of Clinical Child and Adolescent Psychology 45, 681–705.CrossRefGoogle ScholarPubMed
Olino, TM, Klein, DN, Lewinsohn, PM, Rohde, P and Seeley, JR (2008) Longitudinal associations between depressive and anxiety disorders: a comparison of two trait models. Psychological Medicine 38, 353–363.CrossRefGoogle ScholarPubMed
Orvaschel, H, Puig-Antich, J, Chambers, WJ, Tabrizi, MA and Johnson, R (1982) Retrospective assessment of prepubertal major depression with the Kiddie-SADS-E. Journal of the American Academy of Child and Adolescent Psychiatry 21, 392–397.CrossRefGoogle ScholarPubMed
Rohde, P, Lewinsohn, PM and Seeley, JR (1997) Comparability of telephone and face-to-face interviews in assessing axis I and II disorders. American Journal of Psychiatry 154, 1593–1598.CrossRefGoogle ScholarPubMed
Rottenberg, J, Devendorf, AR, Kashdan, TB and Disabato, DJ (2018) The curious neglect of high functioning after psychopathology: the case of depression. Perspectives on Psychological Science 13, 549–566.CrossRefGoogle ScholarPubMed
Russell, A, Haeffel, GJ, Hankin, BL, Maxwell, SE and Perera, RA (2014) Moving beyond main effects: a data analytic strategy for testing complex theories of clinical phenomena. Clinical Psychology: Science and Practice 21, 385–397.Google Scholar
Schaefer, JD, Caspi, A, Belsky, DW, Harrington, H, Houts, R, Horwood, LJ, Hussong, A, Ramrakha, S, Poulton, R and Moffitt, TE (2017) Enduring mental health: prevalence and prediction. Journal of Abnormal Psychology 126, 212–224.CrossRefGoogle ScholarPubMed
Seeley, JR, Kosty, DB, Farmer, RF and Lewinsohn, PM (2011) The modeling of internalizing disorders on the basis of patterns of lifetime comorbidity: associations with psychosocial functioning and psychiatric disorders among first-degree relatives. Journal of Abnormal Psychology 120, 308–321.CrossRefGoogle ScholarPubMed
Sobin, C, Weissman, MM, Goldstein, RB, Adams, P, Wickramaratne, P, Warner, V and Lish, JD (1993) Diagnostic interviewing for family studies – comparing telephone and face-to-face methods for the diagnosis of lifetime psychiatric-disorders. Psychiatric Genetics 3, 227–233.CrossRefGoogle Scholar
Sowislo, JF and Orth, U (2013) Does low self-esteem predict depression and anxiety? A meta-analysis of longitudinal studies. Psychological Bulletin 139, 213.CrossRefGoogle ScholarPubMed
St Clair, MC, Croudace, T, Dunn, VJ, Jones, PB, Herbert, J and Goodyer, IM (2015) Childhood adversity subtypes and depressive symptoms in early and late adolescence. Development and Psychopathology 27, 885–899.CrossRefGoogle ScholarPubMed
Stice, E, Ragan, J and Randall, P (2004) Prospective relations between social support and depression: differential direction of effects for parent and peer support? Journal of Abnormal Psychology 113, 155.CrossRefGoogle ScholarPubMed
Vrshek-Schallhorn, S, Stroud, CB, Mineka, S, Hammen, C, Zinbarg, RE, Wolitzky-Taylor, K and Craske, MG (2015) Chronic and episodic interpersonal stress as statistically unique predictors of depression in two samples of emerging adults. Journal of Abnormal Psychology 124, 918.CrossRefGoogle ScholarPubMed
Weissman, MM and Bothwell, S (1976) Assessment of social adjustment by patient self-report. Archives of General Psychiatry 33, 1111–1115.CrossRefGoogle ScholarPubMed
Weissman, MM, Prusoff, BA, Thompson, WD, Harding, PS and Myers, JK (1978) Social adjustment by self-report in a community sample and in psychiatric outpatients. Journal of Nervous and Mental Disease 166, 317–326.CrossRefGoogle Scholar
Weissman, MM, Warner, V, Wickramaratne, P, Moreau, D and Olfson, M (1997) Offspring of depressed parents, 10 years later. Archives of General Psychiatry 54, 932–940.CrossRefGoogle ScholarPubMed
Weissman, MM, Wickramaratne, P, Gameroff, MJ, Warner, V, Pilowsky, D, Kohad, RG, Verdeli, H, Skipper, J and Talati, A (2016) Offspring of depressed parents: 30 years later. American Journal of Psychiatry 173, 1024–1032.CrossRefGoogle ScholarPubMed
World Health Organization (2002) The World Health Report 2002-Reducing Risks, Promoting Healthy Life. Geneva, Switzerland: World Health Organization.Google Scholar
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