Item request has been placed!
×
Item request cannot be made.
×
Processing Request
Adolescent depression and adult labor market marginalization: a longitudinal cohort study.
Item request has been placed!
×
Item request cannot be made.
×
Processing Request
- المؤلفون: Alaie I;Alaie I; Philipson A; Philipson A; Ssegonja R; Ssegonja R; Ssegonja R; Copeland WE; Copeland WE; Ramklint M; Ramklint M; Bohman H; Bohman H; Jonsson U; Jonsson U; Jonsson U
- المصدر:
European child & adolescent psychiatry [Eur Child Adolesc Psychiatry] 2022 Nov; Vol. 31 (11), pp. 1799-1813. Date of Electronic Publication: 2021 Jun 25.- نوع النشر :
Journal Article- اللغة:
English - المصدر:
- معلومة اضافية
- المصدر: Publisher: Country of Publication: Germany NLM ID: 9212296 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1435-165X (Electronic) Linking ISSN: 10188827 NLM ISO Abbreviation: Eur Child Adolesc Psychiatry Subsets: MEDLINE
- بيانات النشر: Publication: 2010- : Heidelberg : Springer Medizin
Original Publication: Toronto ; Lewiston, NY : Hogrefe & Huber, [1992- - الموضوع:
- نبذة مختصرة : Adolescent depression is linked to adult ill-health and functional impairment, but recent research suggests that individual/contextual factors might account for this association. This study aimed to test whether the clinical heterogeneity of adolescent depression is related to marginalization from the labor market across early to middle adulthood. Data were drawn from the Uppsala Longitudinal Adolescent Depression Study, a community-based cohort initially assessed with structured clinical interviews at age 16-17. The cohort (n = 321 depressed; n = 218 nondepressed) was followed up after 2+ decades through linkage to nationwide population-based registries. Outcomes included consecutive annual data on unemployment, work disability, social welfare recipiency, and a composite marginalization measure, spanning from age 21 to 40. Longitudinal associations were examined using logistic regression analysis in a generalized estimating equations modeling framework. Subsequent depressive episodes and educational attainment in early adulthood were explored as potential pathways. The results showed that adolescent depression was associated with adult marginalization outcomes, but the strength of association varied across depressed subgroups. Adolescents with persistent depressive disorder had higher odds of all outcomes, including the composite marginalization measure (adjusted OR = 2.0, 95% CI = 1.4-2.7, p < 0.001), and this was partially (31%) mediated by subsequent depressive episodes in early adulthood. Exploratory moderation analysis revealed that entry into tertiary education mitigated the association with later marginalization, but only for adolescents with episodic major depression. In conclusion, the risk for future labor market marginalization is elevated among depressed adolescents, particularly those presenting with persistent depressive disorder. Targeted interventions seem crucial to mitigate the long-lasting impact of early-onset depression.
(© 2021. The Author(s).) - References: Thapar A, Collishaw S, Pine DS, Thapar AK (2012) Depression in adolescence. Lancet 379(9820):1056–1067. https://doi.org/10.1016/S0140-6736(11)60871-4. (PMID: 10.1016/S0140-6736(11)60871-4)
Johnson D, Dupuis G, Piche J, Clayborne Z, Colman I (2018) Adult mental health outcomes of adolescent depression: a systematic review. Depress Anxiety 35(8):700–716. https://doi.org/10.1002/da.22777. (PMID: 10.1002/da.22777)
Clayborne ZM, Varin M, Colman I (2019) Systematic review and meta-analysis: adolescent depression and long-term psychosocial outcomes. J Am Acad Child Adolesc Psychiatry 58(1):72–79. https://doi.org/10.1016/j.jaac.2018.07.896. (PMID: 10.1016/j.jaac.2018.07.896)
Hale DR, Bevilacqua L, Viner RM (2015) Adolescent health and adult education and employment: a systematic review. Pediatrics 136(1):128–140. https://doi.org/10.1542/peds.2014-2105. (PMID: 10.1542/peds.2014-2105)
Dahl RE, Allen NB, Wilbrecht L, Suleiman AB (2018) Importance of investing in adolescence from a developmental science perspective. Nature 554(7693):441–450. https://doi.org/10.1038/nature25770. (PMID: 10.1038/nature25770)
Mousteri V, Daly M, Delaney L, Tynelius P, Rasmussen F (2019) Adolescent mental health and unemployment over the lifespan: population evidence from Sweden. Soc Sci Med 222:305–314. https://doi.org/10.1016/j.socscimed.2018.12.030. (PMID: 10.1016/j.socscimed.2018.12.030)
Rodwell L, Romaniuk H, Nilsen W, Carlin JB, Lee KJ, Patton GC (2018) Adolescent mental health and behavioural predictors of being NEET: a prospective study of young adults not in employment, education, or training. Psychol Med 48(5):861–871. https://doi.org/10.1017/s0033291717002434. (PMID: 10.1017/s0033291717002434)
Asselmann E, Wittchen HU, Lieb R, Beesdo-Baum K (2018) Sociodemographic, clinical, and functional long-term outcomes in adolescents and young adults with mental disorders. Acta Psychiatr Scand 137(1):6–17. https://doi.org/10.1111/acps.12792. (PMID: 10.1111/acps.12792)
Egan M, Daly M, Delaney L (2016) Adolescent psychological distress, unemployment, and the Great Recession: evidence from the National Longitudinal Study of Youth 1997. Soc Sci Med 156:98–105. https://doi.org/10.1016/j.socscimed.2016.03.013. (PMID: 10.1016/j.socscimed.2016.03.013)
Goodman A, Joyce R, Smith JP (2011) The long shadow cast by childhood physical and mental problems on adult life. Proc Natl Acad Sci U S A 108(15):6032–6037. https://doi.org/10.1073/pnas.1016970108. (PMID: 10.1073/pnas.1016970108)
Helgesson M, Tinghog P, Wang M, Rahman S, Saboonchi F, Mittendorfer-Rutz E (2018) Trajectories of work disability and unemployment among young adults with common mental disorders. BMC Public Health 18(1):1228. https://doi.org/10.1186/s12889-018-6141-y. (PMID: 10.1186/s12889-018-6141-y)
Layard R (2013) Mental health: the new frontier for labour economics. IZA J Labor Policy 2(1):2.
OECD (2012) Sick on the job? Myths and realities about mental health and work. OECD Publishing, Paris. https://doi.org/10.1787/9789264124523-en. (PMID: 10.1787/9789264124523-en)
OECD (2015) Fit Mind, Fit Job: from Evidence to Practice in Mental Health and Work. OECD Publishing, Paris. https://doi.org/10.1787/9789264228283-en.
Olesen SC, Butterworth P, Leach LS, Kelaher M, Pirkis J (2013) Mental health affects future employment as job loss affects mental health: findings from a longitudinal population study. BMC Psychiatry. https://doi.org/10.1186/1471-244X-13-144. (PMID: 10.1186/1471-244X-13-144)
Fletcher J (2013) Adolescent depression and adult labor market outcomes. South Econ J 80(1):26–49. (PMID: 10.4284/0038-4038-2011.193)
McLeod GFH, Horwood LJ, Fergusson DM (2016) Adolescent depression, adult mental health and psychosocial outcomes at 30 and 35 years. Psychol Med 46(7):1401–1412. https://doi.org/10.1017/S0033291715002950. (PMID: 10.1017/S0033291715002950)
Hakulinen C, Musliner KL, Agerbo E (2019) Bipolar disorder and depression in early adulthood and long-term employment, income, and educational attainment: a nationwide cohort study of 2,390,127 individuals. Depress Anxiety 36(11):1080–1088. https://doi.org/10.1002/da.22956. (PMID: 10.1002/da.22956)
Copeland WE, Alaie I, Jonsson U, Shanahan L (2021) Associations of childhood and adolescent depression with adult psychiatric and functional outcomes. J Am Acad Child Adolesc Psychiatry 60(5):604–611. https://doi.org/10.1016/j.jaac.2020.07.895. (PMID: 10.1016/j.jaac.2020.07.895)
Philipson A, Alaie I, Ssegonja R et al (2020) Adolescent depression and subsequent earnings across early to middle adulthood: a 25-year longitudinal cohort study. Epidemiol Psychiatr Sci 29:e123. https://doi.org/10.1017/s2045796020000360. (PMID: 10.1017/s2045796020000360)
Moffitt TE, Caspi A, Taylor A et al (2010) How common are common mental disorders? Evidence that lifetime prevalence rates are doubled by prospective versus retrospective ascertainment. Psychol Med 40(6):899–909. https://doi.org/10.1017/s0033291709991036. (PMID: 10.1017/s0033291709991036)
Ludvigsson JF, Svedberg P, Olen O, Bruze G, Neovius M (2019) The longitudinal integrated database for health insurance and labour market studies (LISA) and its use in medical research. Eur J Epidemiol 34(4):423–437. https://doi.org/10.1007/s10654-019-00511-8. (PMID: 10.1007/s10654-019-00511-8)
Pape K, Bjorngaard JH, Holmen TL, Krokstad S (2012) The welfare burden of adolescent anxiety and depression: a prospective study of 7500 young Norwegians and their families: the HUNT study. BMJ Open. https://doi.org/10.1136/bmjopen-2012-001942. (PMID: 10.1136/bmjopen-2012-001942)
Colman I, Wadsworth MEJ, Croudace TJ, Jones PB (2007) Forty-year psychiatric outcomes following assessment for internalizing disorder in adolescence. Am J Psychiatry 164(1):126–133. https://doi.org/10.1176/appi.ajp.164.1.126. (PMID: 10.1176/appi.ajp.164.1.126)
Jonsson U, Bohman H, von Knorring L, Olsson G, Paaren A, von Knorring AL (2011) Mental health outcome of long-term and episodic adolescent depression: 15-year follow-up of a community sample. J Affect Disord 130(3):395–404. https://doi.org/10.1016/j.jad.2010.10.046. (PMID: 10.1016/j.jad.2010.10.046)
Ssegonja R, Alaie I, Philipson A et al (2019) Depressive disorders in adolescence, recurrence in early adulthood, and healthcare usage in mid-adulthood: a longitudinal cost-of-illness study. J Affect Disord 258:33–41. https://doi.org/10.1016/j.jad.2019.07.077. (PMID: 10.1016/j.jad.2019.07.077)
Buchmann MC, Kriesi I (2011) Transition to adulthood in Europe. Annu Rev Sociol 37:481–503. (PMID: 10.1146/annurev-soc-081309-150212)
Danziger S, Ratner D (2010) Labor market outcomes and the transition to adulthood. Future Child 20(1):133–158. https://doi.org/10.1353/foc.0.0041. (PMID: 10.1353/foc.0.0041)
Lorentzen T, Bäckman O, Ilmakunnas I, Kauppinen T (2019) Pathways to adulthood: sequences in the school-to-work transition in Finland Norway and Sweden. Soc Indic Res 141(3):1285–1305. (PMID: 10.1007/s11205-018-1877-4)
Quintini G, Manfredi T (2009) Going separate ways? School-to-work transitions in the United States and Europe. OECD Social, Employment and Migration Working Papers, No. 90. https://doi.org/10.1787/221717700447.
Jonsson U, Bohman H, Hjern A, von Knorring L, Olsson G, von Knorring AL (2010) Subsequent higher education after adolescent depression: a 15-year follow-up register study. Eur Psychiatry 25(7):396–401. https://doi.org/10.1016/j.eurpsy.2010.01.016. (PMID: 10.1016/j.eurpsy.2010.01.016)
Alaie I, Philipson A, Ssegonja R et al (2019) Uppsala longitudinal adolescent depression study (ULADS). BMJ Open 9(3):e024939. https://doi.org/10.1136/bmjopen-2018-024939. (PMID: 10.1136/bmjopen-2018-024939)
Olsson GI, von Knorring AL (1999) Adolescent depression: prevalence in Swedish high-school students. Acta Psychiatr Scand 99(5):324–331. https://doi.org/10.1111/j.1600-0447.1999.tb07237.x. (PMID: 10.1111/j.1600-0447.1999.tb07237.x)
Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J (1961) An inventory for measuring depression. Arch Gen Psychiatry 4(6):561–571. https://doi.org/10.1001/archpsyc.1961.01710120031004. (PMID: 10.1001/archpsyc.1961.01710120031004)
Schoenbach VJ, Kaplan BH, Grimson RC, Wagner EH (1982) Use of a symptom scale to study the prevalence of a depressive syndrome in young adolescents. Am J Epidemiol 116(5):791–800. (PMID: 10.1093/oxfordjournals.aje.a113469)
American Psychiatric Association (2013) Diagnostic and statistical manual of mental disorders, 5th edn. American Psychiatric Association, Arlington. (PMID: 10.1176/appi.books.9780890425596)
Reich W, Herjanic B, Welner Z, Gandhy PR (1982) Development of a structured psychiatric interview for children: agreement on diagnosis comparing child and parent interviews. J Abnorm Child Psychol 10(3):325–336. https://doi.org/10.1007/BF00912325. (PMID: 10.1007/BF00912325)
American Psychiatric Association (1987) Diagnostic and statistical manual of mental disorders, 3rd rev. American Psychiatric Association, Washington.
Niederkrotenthaler T, Tinghog P, Goldman-Mellor S, Wilcox HC, Gould M, Mittendorfer-Rutz E (2016) Medical and social determinants of subsequent labour market marginalization in young hospitalized suicide attempters. PLoS ONE 11(1):e0146130. https://doi.org/10.1371/journal.pone.0146130. (PMID: 10.1371/journal.pone.0146130)
Niederkrotenthaler T, Tinghog P, Alexanderson K et al (2014) Future risk of labour market marginalization in young suicide attempters: a population-based prospective cohort study. Int J Epidemiol 43(5):1520–1530. https://doi.org/10.1093/ije/dyu155. (PMID: 10.1093/ije/dyu155)
Swedish Social Insurance Agency (2016) Social insurance in figures 2016. Swedish Social Insurance Agency. https://www.forsakringskassan.se/wps/wcm/connect/d9a3498f-ea2a-40a7-a358-80722d13963a/socialforsakringen-i-siffror-2016-engelsk.pdf?MOD=AJPERES . Accessed 30 Sep 2019.
Sheehan DV, Lecrubier Y, Sheehan KH et al (1998) The Mini-International Neuropsychiatric Interview (MINI): The development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry 59(Suppl 20):22–33 (quiz 34–57).
Statistics Sweden (2019) Higher education. Throughput at first and second cycle studies up to and including 2017/18. Statistics Sweden. https://www.scb.se/contentassets/ef1aaaa84fb144ef8ee40c0721227e8d/uf0208_2017l18_uf20sm1903.pdf . Accessed 1 Oct 2020.
Copeland WE, Angold A, Shanahan L, Costello EJ (2014) Longitudinal patterns of anxiety from childhood to adulthood: the Great Smoky Mountains Study. J Am Acad Child Adolesc Psychiatry 53(1):21–33. https://doi.org/10.1016/j.jaac.2013.09.017. (PMID: 10.1016/j.jaac.2013.09.017)
Erskine HE, Norman RE, Ferrari AJ et al (2016) Long-term outcomes of attention-deficit/hyperactivity disorder and conduct disorder: a systematic review and meta-analysis. J Am Acad Child Adolesc Psychiatry 55(10):841–850. https://doi.org/10.1016/j.jaac.2016.06.016. (PMID: 10.1016/j.jaac.2016.06.016)
Brook JS, Zhang C, Burke L, Brook DW (2014) Trajectories of cigarette smoking from adolescence to adulthood as predictors of unemployment status. Nicotine Tob Res 16(12):1559–1566. https://doi.org/10.1093/ntr/ntu107. (PMID: 10.1093/ntr/ntu107)
Troelstra SA, Coenen P, Boot CR, Harting J, Kunst AE, van der Beek AJ (2020) Smoking and sickness absence: a systematic review and meta-analysis. Scand J Work Environ Health 46(1):5–18. https://doi.org/10.5271/sjweh.3848. (PMID: 10.5271/sjweh.3848)
Hegelund ER, Flensborg-Madsen T, Dammeyer J, Mortensen EL (2018) Low IQ as a predictor of unsuccessful educational and occupational achievement: a register-based study of 1,098,742 men in Denmark 1968–2016. Intelligence 71:46–53. (PMID: 10.1016/j.intell.2018.10.002)
Lundin A, Hemmingsson T (2013) Adolescent predictors of unemployment and disability pension across the life course: a longitudinal study of selection in 49,321 Swedish men. Institute for Evaluation of Labour Market and Education Policy (IFAU) Working Paper Series 2013:25.
Liang K-Y, Zeger SL (1986) Longitudinal data analysis using generalized linear models. Biometrika 73(1):13–22. (PMID: 10.1093/biomet/73.1.13)
VanderWeele TJ (2016) Mediation analysis: a practitioner’s guide. Annu Rev Public Health 37:17–32. https://doi.org/10.1146/annurev-publhealth-032315-021402. (PMID: 10.1146/annurev-publhealth-032315-021402)
Tingley D, Yamamoto T, Hirose K, Keele L, Imai K (2014) mediation: R package for causal mediation analysis. J Stat Softw 59(5):1–38. https://doi.org/10.18637/jss.v059.i05. (PMID: 10.18637/jss.v059.i05)
Steinhausen HC, Haslimeier C, Winkler Metzke C (2006) The outcome of episodic versus persistent adolescent depression in young adulthood. J Affect Disord 96(1–2):49–57. https://doi.org/10.1016/j.jad.2006.05.019. (PMID: 10.1016/j.jad.2006.05.019)
Kandel DB, Davies M (1986) Adult sequelae of adolescent depressive symptoms. Arch Gen Psychiatry 43(3):255–262. https://doi.org/10.1001/archpsyc.1986.01800030073007. (PMID: 10.1001/archpsyc.1986.01800030073007)
Hammarstrom A, Janlert U (1997) Nervous and depressive symptoms in a longitudinal study of youth unemployment: selection or exposure? J Adolesc 20(3):293–305. https://doi.org/10.1006/jado.1997.0086. (PMID: 10.1006/jado.1997.0086)
Swedish Social Insurance Agency (2020) Sjukfrånvaro i psykiatriska diagnoser: En registerstudie av Sveriges arbetande befolkning i åldern 20–69 år [Mental disorder sick leave: A register study of the Swedish working population in ages 20 to 69 years]. Socialförsäkringsrapport 2020:8 [Social Insurance Report 2020:8]. https://www.forsakringskassan.se/wps/wcm/connect/e12b777c-e98a-488d-998f-501e621f4714/sjukfranvaro-i-psykiatriska-diagnoser-socialforsakringsrapport-2020-8.pdf?MOD=AJPERES&CVID= . Accessed 30 Oct 2020.
OECD (2012) Closing the gender gap: act now. OECD Publishing, Paris. https://doi.org/10.1787/9789264179370-en.
Mastekaasa A (2014) The gender gap in sickness absence: long-term trends in eight European countries. Eur J Public Health 24(4):656–662. https://doi.org/10.1093/eurpub/cku075. (PMID: 10.1093/eurpub/cku075)
Nilsen W, Skipstein A, Østby KA, Mykletun A (2017) Examination of the double burden hypothesis: a systematic review of work-family conflict and sickness absence. Eur J Public Health 27(3):465–471. https://doi.org/10.1093/eurpub/ckx054. (PMID: 10.1093/eurpub/ckx054)
Angelov N, Johansson P, Lindahl E (2020) Sick of family responsibilities? Empir Econ 58(2):777–814. (PMID: 10.1007/s00181-018-1552-2)
Leinonen T, Viikari-Juntura E, Husgafvel-Pursiainen K et al (2018) Labour market segregation and gender differences in sickness absence: trends in 2005–2013 in Finland. Ann Work Expo Health 62(4):438–449. https://doi.org/10.1093/annweh/wxx107. (PMID: 10.1093/annweh/wxx107)
Laaksonen M, Mastekaasa A, Martikainen P, Rahkonen O, Piha K, Lahelma E (2010) Gender differences in sickness absence: the contribution of occupation and workplace. Scand J Work Environ Health 36(5):394–403. https://doi.org/10.5271/sjweh.2909. (PMID: 10.5271/sjweh.2909)
Sterud T (2014) Work-related gender differences in physician-certified sick leave: a prospective study of the general working population in Norway. Scand J Work Environ Health 40(4):361–369. https://doi.org/10.5271/sjweh.3427. (PMID: 10.5271/sjweh.3427)
Wickersham A, Sugg HVR, Epstein S, Stewart R, Ford T, Downs J (2021) Systematic review and meta-analysis: the association between child and adolescent depression and later educational attainment. J Am Acad Child Adolesc Psychiatry 60(1):105–118. https://doi.org/10.1016/j.jaac.2020.10.008. (PMID: 10.1016/j.jaac.2020.10.008)
Vilaplana-Pérez A, Pérez-Vigil A, Sidorchuk A et al (2020) Much more than just shyness: the impact of social anxiety disorder on educational performance across the lifespan. Psychol Med. https://doi.org/10.1017/s0033291719003908. (PMID: 10.1017/s0033291719003908)
Lewinsohn PM, Rohde P, Seeley JR, Klein DN, Gotlib IH (2003) Psychosocial functioning of young adults who have experienced and recovered from major depressive disorder during adolescence. J Abnorm Psychol 112(3):353–363. https://doi.org/10.1037/0021-843x.112.3.353. (PMID: 10.1037/0021-843x.112.3.353)
Flament MF, Cohen D, Choquet M, Jeammet P, Ledoux S (2001) Phenomenology, psychosocial correlates, and treatment seeking in major depression and dysthymia of adolescence. J Am Acad Child Adolesc Psychiatry 40(9):1070–1078. https://doi.org/10.1097/00004583-200109000-00016. (PMID: 10.1097/00004583-200109000-00016)
Klein DN, Lewinsohn PM, Seeley JR (1997) Psychosocial characteristics of adolescents with a past history of dysthymic disorder: comparison with adolescents with past histories of major depressive and non-affective disorders, and never mentally ill controls. J Affect Disord 42(2–3):127–135. https://doi.org/10.1016/s0165-0327(96)01403-6. (PMID: 10.1016/s0165-0327(96)01403-6)
Goodman SH, Schwab-Stone M, Lahey BB, Shaffer D, Jensen PS (2000) Major depression and dysthymia in children and adolescents: discriminant validity and differential consequences in a community sample. J Am Acad Child Adolesc Psychiatry 39(6):761–770. https://doi.org/10.1097/00004583-200006000-00015. (PMID: 10.1097/00004583-200006000-00015)
Olsson GI, Nordstrom ML, Arinell H, von Knorring AL (1999) Adolescent depression: social network and family climate: a case-control study. J Child Psychol Psychiatry 40(2):227–237. (PMID: 10.1111/1469-7610.00436)
Chisholm D, Sweeny K, Sheehan P et al (2016) Scaling-up treatment of depression and anxiety: a global return on investment analysis. Lancet Psychiatry 3(5):415–424. https://doi.org/10.1016/s2215-0366(16)30024-4. (PMID: 10.1016/s2215-0366(16)30024-4)
McDaid D, Park AL, Wahlbeck K (2019) The economic case for the prevention of mental illness. Annu Rev Public Health 40:373–389. https://doi.org/10.1146/annurev-publhealth-040617-013629. (PMID: 10.1146/annurev-publhealth-040617-013629)
Paananen R, Tuulio-Henriksson A, Merikukka M, Gissler M (2020) Intergenerational transmission of psychiatric disorders: the 1987 Finnish Birth Cohort study. Eur Child Adolesc Psychiatry. https://doi.org/10.1007/s00787-020-01524-5. (PMID: 10.1007/s00787-020-01524-5)
Waszczuk MA, Zavos HMS, Eley TC (2020) Why do depression, conduct, and hyperactivity symptoms co-occur across adolescence? The role of stable and dynamic genetic and environmental influences. Eur Child Adolesc Psychiatry. https://doi.org/10.1007/s00787-020-01515-6. (PMID: 10.1007/s00787-020-01515-6)
Rice F, Riglin L, Thapar AK et al (2019) Characterizing developmental trajectories and the role of neuropsychiatric genetic risk variants in early-onset depression. JAMA Psychiat 76(3):306–313. https://doi.org/10.1001/jamapsychiatry.2018.3338. (PMID: 10.1001/jamapsychiatry.2018.3338)
Copeland WE, Adair CE, Smetanin P et al (2013) Diagnostic transitions from childhood to adolescence to early adulthood. J Child Psychol Psychiatry 54(7):791–799. https://doi.org/10.1111/jcpp.12062. (PMID: 10.1111/jcpp.12062)
Ettner SL, Frank RG, Kessler RC (1997) The impact of psychiatric disorders on labor market outcomes. Ind Labor Relat Rev 51 (1):64–81. http://ilr.sagepub.com/content/by/year.
Chatterji P, Alegria M, Lu M, Takeuchi D (2007) Psychiatric disorders and labor market outcomes: evidence from the National Latino and Asian American Study. Health Econ 16(10):1069–1090. (PMID: 10.1002/hec.1210)
Chatterji P, Alegria M, Takeuchi D (2011) Psychiatric disorders and labor market outcomes: evidence from the National Comorbidity Survey-Replication. J Health Econ 30(5):858–868. (PMID: 10.1016/j.jhealeco.2011.06.006)
Banerjee S, Chatterji P, Lahiri K (2017) Effects of psychiatric disorders on labor market outcomes: a latent variable approach using multiple clinical indicators. Health Econ 26(2):184–205. (PMID: 10.1002/hec.3286) - Grant Information: 2014-10092 Vetenskapsrådet; RFR-738411 Uppsala-Örebro Regional Research Council; RFR-652841 Uppsala-Örebro Regional Research Council; RFR-840891 Uppsala-Örebro Regional Research Council; LUL-713161 Uppsala County Council's Funds for Clinical Research; LUL-828241 Uppsala County Council's Funds for Clinical Research; LUL-914571 Uppsala County Council's Funds for Clinical Research
- Contributed Indexing: Keywords: Academic success; Adolescent; Depression; Employment; Longitudinal studies
- الموضوع: Date Created: 20210626 Date Completed: 20221118 Latest Revision: 20221219
- الموضوع: 20240105
- الرقم المعرف: PMC9666342
- الرقم المعرف: 10.1007/s00787-021-01825-3
- الرقم المعرف: 34173065
- المصدر:
حقوق النشر© 2020، دائرة الثقافة والسياحة جميع الحقوق محفوظة Powered By EBSCO Stacks 3.3.0 [353] | Staff Login
No Comments.