A life course perspective on mental health problems, employment, and work outcomes

Scandinavian Journal of Work, Environment and Health

Volumn 43, Issue 4, 2017, Pages 316-325

  Veldman, Karin ^a   Reijneveld, Sijmen A ^a   Verhulst, Frank C ^b   Ortiz, Josue Almansa ^a   Bültmann, Ute ^a  

^a UNIVERSITY MEDICAL CENTER GRONINGEN   (Netherlands)

^b ERASMUS MEDICAL CENTER   (Netherlands)

Author keywords

Depression; Employment condition; Externalizing problem; Internalizing problem; Life course epidemiology; Longitudinal study; Mood disorder; Psychosocial work characteristic; Young adult

Indexed keywords

ADULT; CHILD; COHORT ANALYSIS; EMPLOYMENT; EPIDEMIOLOGY; GROWTH MODELING; HEALTH STATUS; INCOME; MENTAL HEALTH; PSYCHOLOGY; TRAJECTORY; ADOLESCENCE; DISABILITY; HEALTH IMPACT; LABOR MARKET; OCCUPATIONAL EXPOSURE; SOCIOECONOMIC CONDITIONS; WORKING CONDITIONS;

ADULT; ARTICLE; CHILD; COHORT ANALYSIS; EMPLOYMENT; FEMALE; FOLLOW UP; HUMAN; INCOME; MAJOR CLINICAL STUDY; MALE; MENTAL DISEASE; OUTCOME ASSESSMENT; PRIORITY JOURNAL; PROSPECTIVE STUDY; WORK; YOUNG ADULT; AGE; MEASUREMENT; REVIEW; LONGITUDINAL STUDY; MENTAL DISORDERS; NETHERLANDS; PSYCHOLOGY; QUESTIONNAIRE; SALARY AND FRINGE BENEFIT; SELF REPORT; STATISTICS AND NUMERICAL DATA;

NETHERLANDS;

EMPLOYMENT; FEMALE; HUMANS; LONGITUDINAL STUDIES; MALE; MENTAL DISORDERS; NETHERLANDS; PROSPECTIVE STUDIES; SALARIES AND FRINGE BENEFITS; SELF REPORT; SURVEYS AND QUESTIONNAIRES; YOUNG ADULT;

EID: 85021809920     PISSN: 03553140     EISSN: 1795990X     Source Type: Journal    
DOI: 10.5271/sjweh.3651     Document Type: Article

References (38)

1. Fergusson DM, Boden JM. Cannabis use and later life outcomes. Addiction. 2008;103:969–76. https://doi. org/10.1111/j.1360-0443.2008.02221.x.
2. McGee TR, Hayatbakhsh MR, Bor W, Cerruto M, Dean A, Alati R, et al. Antisocial behaviour across the life course: an examination of the effects of early onset desistence and early onset persistent antisocial behaviour in adulthood. Aust J Psychol. 2011;63:44–55. https://doi.org/10.1111/j.1742-9536.2011.00006.x.
3. Danielsson AK, Falkstedt D, Hemmingsson T, Allebeck P, Agardh E. Cannabis use among Swedish men in adolescence and the risk of adverse life course outcomes: results from a 20 year-follow-up study. Addiction. 2015;110:1794–802. https://doi.org/10.1111/add.13042.
4. Fletcher J. Adolescent depression and adult labor market outcomes. South Econ J. 2013;80:26–49. https://doi. org/10.4284/0038-4038-2011.193.
5. Johar M, Truong J. Direct and indirect effect of depression in adolescence on adult wages. Appl Econ. 2014;46:4431–44. https://doi.org/10.1080/00036846.2014.962227.
6. Wickrama KAS, Conger RD, Lorenz FO, Martin M. Continuity and discontinuity of depressed mood from late adolescence to young adulthood: the mediating and stabilizing roles of young adults’ socioeconomic attainment. J Adolesc. 2012;35:648–58. https://doi.org/10.1016/j.adolescence.2011.08.014.
7. Gustavsson A, Svensson M, Jacobi F, Allgulander C, Alonso J, Beghi E, et al. Cost of disorders of the brain in Europe 2010. Eur Neuropsychopharmacol. 2011;21:718–79. https://doi.org/10.1016/j.euroneuro.2011.08.008.
8. Jones PB. Adult mental health disorders and their age at onset. Br J Psych Suppl. 2013;54(s54):s5–10. https://doi. org/10.1192/bjp.bp.112.119164.
9. Ormel J, Raven D, van Oort F, Hartman CA, Reijneveld SA, Veenstra R, et al. Mental health in Dutch adolescents: a TRAILS report on prevalence, severity, age of onset, continuity and comorbidity of DSM disorders. Psychol Med. 2015;45:345–60. https://doi.org/10.1017/S0033291714001469.
10. Copeland W, Shanahan L, Costello E, Angold A. Childhood and adolescent psychiatric disorders as predictors of young adult disorders. Arch Gen Psych. 2009;66:764–72
11. Viner RM, Ross D, Hardy R, Kuh D, Power C, Johnson A, et al. Life course epidemiology: recognising the importance of adolescence. J Epidemiol Community Health. 2015;69:719–20. https://doi.org/10.1136/jech-2014-205300.
12. Amick BC, McLeod CB, Bultmann U. Labor markets and health: an integrated life course perspective. Scand J Work Environ Health. 2016;42:346–53. https://doi.org/10.5271/sjweh.3567.
13. Stansfeld S, Candy B. Psychosocial work environment and mental health - a meta-analytic review. Scand J Work Environ Health. 2006;32:443–62. https://doi.org/10.5271/sjweh.1050.
14. Burr H, Albertsen K, Rugulies R, Hannerz H. Do dimensions from the Copenhagen Psychosocial Questionnaire predict vitality and mental health over and above the job strain and effort-reward imbalance models? Scand J Public Health. 2010 Mar;38:59–68. https://doi.org/10.1177/1403494809353436.
15. Catalina-Romero C, Sainz JC, Pastrana-Jiménez JI, García-Diéguez N, Irízar-Mu-oz I, Aleixandre-Chiva JL, et al. The impact of poor psychosocial work environment on non-work-related sickness absence. Soc Sci Med. 2015;138:210–6. https://doi.org/10.1016/j.socscimed.2015.06.009.
16. Elovainio M, Heponiemi T, Jokela M, Hakulinen C, Presseau J, Aalto A-M, et al. Stressful work environment and wellbeing: What comes first? J Occup Health Psychol. 2015;20:289–300. https://doi.org/10.1037/a0038684.
17. de Lange AH, Taris TW, Kompier MAJ, Houtman ILD, Bongers PM. Different mechanisms to explain the reversed effects of mental health on work characteristics. Scand J Work Environ Health Health. 2005;31:3–14. https://doi. org/10.5271/sjweh.843.
18. Tang K. A reciprocal interplay between psychosocial job stressors and worker well-being? A systematic review of the “reversed” effect. Scand J Work Environ Health. 2014;40:441– 56. https://doi.org/10.5271/sjweh.3431.
19. de Winter AF, Oldehinkel AJ, Veenstra R, Brunnekreef JA, Verhulst FC, Ormel J. Evaluation of non-response bias in mental health determinants and outcomes in a large sample of pre-adolescents. Eur J Epidemiol. 2005;20:173–81. https://doi.org/10.1007/s10654-004-4948-6.
20. Huisman M, Oldehinkel AJ, de Winter A, Minderaa RB, de Bildt A, Huizink AC, et al. Cohort profile: the Dutch “TRacking Adolescents” Individual Lives’ Survey’; TRAILS. Int J Epidemiol. 2008;37:1227–35. https://doi.org/10.1093/ije/dym273.
21. Nederhof E, Jörg F, Raven D, Veenstra R, Verhulst FC, Ormel J. Benefits of extensive recruitment effort persist during follow-ups and are consistent across age group and survey method. The TRAILS study. BMC Med Res Methodol. 2012;12:93–108. https://doi.org/10.1186/1471-2288-12-93.
22. Achenbach T, Rescorla L. Manual for the ASEBA School-Age Forms & Profiles. Burlington VT: University of Vermont, Research Center for Children, Youth, & Families; 2001.
23. Achenbach T, Rescorla L. Manual for the ASEBAAdult Forms & Profiles. Burlington VT: University of Vermont, Research Center for Children, Youth, & Families; 2003.
24. Kristensen TS, Hannerz H, Høgh A, Borg V. The Copenhagen Psychosocial Questionnaire - a tool for the assessment and improvement of the psychosocial work environment. Scand J Work Environ Health. 2005;31:438–49. https://doi. org/10.5271/sjweh.948.
25. Wechsler D. Wechsler Intelligence Scale for Children -Revised. New York: Psychological Corporation; 1974.
26. Sattler J. Assessment of Children. San Diego: Jerome M Sattler; 1992.
27. Silverstein AB. Validity of WISC short forms at three age levels. J Consult Psychol. 1967;31:635–6. https://doi. org/10.1037/h0025110.
28. Jung T, Wickrama KAS. An Introduction to Latent Class Growth Analysis and Growth Mixture Modeling. Soc Personal Psychol Compass. 2008;2:302–17. https://doi.org/10.1111/j.1751-9004.2007.00054.x.
29. Muthén B. Growth mixture modeling and related techniques for longitudinal data. In: Kaplan D, editor. Handbook of quantitative methodology for the social sciences. Newbury Park, CA: Sage Publications; 2004. https://doi. org/10.4135/9781412986311.n19.
30. Vermunt, J.K. and Magidson, J. Latent GOLD User’s Manual. Boston: Statistical Innovations Inc; 2000.
31. Vermunt, J.K. and Magidson, J. Upgrade Manual for Latent GOLD 5.1. Belmont, Massachusetts: Statistical Innovations Inc; 2016.
32. Jaspers M, de Winter AF, Huisman M, Verhulst FC, Ormel J, Stewart RE, et al. Trajectories of psychosocial problems in adolescents predicted by findings from early well-child assessments. J Adolesc Health. 2012;51:475–83. https://doi. org/10.1016/j.jadohealth.2012.02.007.
33. Petersen IT, Bates JE, Dodge KA, Lansford JE, Pettit GS. Describing and predicting developmental profiles of externalizing problems from childhood to adulthood. Dev Psychopathol. 2015;27:791–818. https://doi.org/10.1017/S0954579414000789.
34. McLeod JD, Fettes DL. Trajectories of failure: the educational careers of children with mental health problems. Am J Sociol. 2007;113:653–701. https://doi.org/10.1086/521849.
35. Lee S, Tsang A, Breslau J, Aguilar-Gaxiola S, Angermeyer M, Borges, G, et al. Mental disorders and termination of education in high-income and low- and middle-income countries: Epidemiological study. Br J Psych. 2009;194:411–17. https://doi.org/10.1192/bjp.bp.108.054841.
36. Lee S, Tsang A, Breslau J, Aguilar-Gaxiola S, Angermeyer M, Borges G, et al. Mental disorders and termination of education in high-income and low- and middle-income countries: Epidemiological study: Correction. Br J Psych. 2011;198:327.
37. Veldman K, Bültmann U, Stewart RE, Ormel J, Verhulst FC, Reijneveld SA. Mental health problems and educational attainment in adolescence: 9-year follow-up of the TRAILS study. PloS ONE. 2014;9:e101751. https://doi.org/10.1371/journal.pone.0101751.
38. Johar M, Truong J. Direct and indirect effect of depression in adolescence on adult wages. Appl Econ. 2014;46:4431–44. https://doi.org/10.1080/00036846.2014.962227.