期刊论文详细信息
BMC Public Health
High school dropout and long-term sickness and disability in young adulthood: a prospective propensity score stratified cohort study (the Young-HUNT study)
Johan Håkon Bjørngaard1  Steinar Westin3  Turid Lingaas Holmen4  Roar Johnsen3  Koenraad Cuypers5  Kristine Pape3  Karin A A De Ridder2 
[1] Forensic Department and Research Centre Bröset, St. Olav's University Hospital Trondheim, 7491 Trondheim, Norway;Youth Health Care, Department of Public Health and Primary Care, KU Leuven, 3000 Leuven, Belgium;Department of Public Health and General Practice, Norwegian University of Science and Technology, 7491 Trondheim, Norway;Department of Public Health and General Practice, HUNT Research Center, Norwegian University of Science and Technology, 7600 Levanger, Norway;Department of Public Health and Surveillance, Scientific Institute of Public Health, WIV-ISP (Site Elsene), 1050 Brussels, Belgium
关键词: HUNT study;    Propensity score;    Prospective cohort study;    Adult;    Adolescent;    Risk factors;    Disability insurance;    Sick leave;    School dropouts;   
Others  :  1161681
DOI  :  10.1186/1471-2458-13-941
 received in 2013-04-30, accepted in 2013-10-04,  发布年份 2013
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【 摘 要 】

Background

High school dropout and long-term sickness absence/disability pension in young adulthood are strongly associated. We investigated whether common risk factors in adolescence may confound this association.

Methods

Data from 6612 school-attending adolescents (13–20 years old) participating in the Norwegian Young-HUNT1 Survey (1995–1997) was linked to long-term sickness absence or disability pension from age 24–29 years old, recorded in the Norwegian Labour and Welfare Organisation registers (1998–2008). We used logistic regression to estimate risk differences of sickness or disability for school dropouts versus completers, adjusting for health, health-related behaviours, psychosocial factors, school problems, and parental socioeconomic position. In addition, we stratified the regression models of sickness and disability following dropout across the quintiles of the propensity score for high school dropout.

Results

The crude absolute risk difference for long-term sickness or disability for a school dropout compared to a completer was 0.21% or 21% points (95% confidence interval (CI), 17 to 24). The adjusted risk difference was reduced to 15% points (95% CI, 12 to 19). Overall, high school dropout increased the risk for sickness or disability regardless of the risk factor level present for high school dropout.

Conclusion

High school dropouts have a strongly increased risk for sickness and disability in young adulthood across all quintiles of the propensity score for dropout, i.e. independent of own health, family and socioeconomic factors in adolescence. These findings reveal the importance of early prevention of dropout where possible, combined with increased attention to labour market integration and targeted support for those who fail to complete school.

【 授权许可】

   
2013 De Ridder et al.; licensee BioMed Central Ltd.

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【 参考文献 】
  • [1]OECD: Sickness, disability and work: breaking the barriers. A synthesis of findings across OECD countries. Paris: OECD Publishing; 2010.
  • [2]Lamb S, Markussen E, Teese R, Polesel J, Sandberg N (Eds): School dropout and completion: International comparative studies in theory and policy. Dordrecht: Springer Science+Business Media B.V; 2011.
  • [3]De Ridder KA, Pape K, Johnsen R, Westin S, Holmen TL, Bjorngaard JH: School dropout: a major public health challenge: a 10-year prospective study on medical and non-medical social insurance benefits in young adulthood, the Young-HUNT 1 Study (Norway). J Epidemiol Community Health 2012, 66(11):995-1000.
  • [4]Gravseth HM, Bjerkedal T, Irgens LM, Aalen OO, Selmer R, Kristensen P: Life course determinants for early disability pension: a follow-up of Norwegian men and women born 1967–1976. Eur J Epidemiol 2007, 22(8):533-543.
  • [5]Graham H, Power C: Childhood disadvantage and health inequalities: a framework for policy based on lifecourse research. Child Care Health Dev 2004, 30(6):671-678.
  • [6]Koivusilta LK, Rimpela AH, Rimpela M, Vikat A: Health behavior-based selection into educational tracks starts in early adolescence. Health Educ Res 2001, 16(2):201-214.
  • [7]Huurre T, Aro H, Rahkonen O, Komulainen E: Health, lifestyle, family and school factors in adolescence: predicting adult educational level. Educ Res 2006, 48(1):41-53.
  • [8]Rothon C, Head J, Klineberg E, Stansfeld S: Can social support protect bullied adolescents from adverse outcomes? A prospective study on the effects of bullying on the educational achievement and mental health of adolescents at secondary schools in East London. J Adolesc 2011, 34(3):579-588.
  • [9]Winding TN, Nohr EA, Labriola M, Biering K, Andersen JH: Personal predictors of educational attainment after compulsory school: influence of measures of vulnerability, health, and school performance. Scand J Public Health 2013, 41(1):92-101.
  • [10]Power C, Matthews S: Origins of health inequalities in a national population sample. Lancet 1997, 350(9091):1584-1589.
  • [11]Power C, Atherton K, Strachan DP, Shepherd P, Fuller E, Davis A, Gibb I, Kumari M, Lowe G, Macfarlane GJ, et al.: Life-course influences on health in British adults: effects of socio-economic position in childhood and adulthood. Int J Epidemiol 2007, 36(3):532-539.
  • [12]Henderson M, Stansfeld S, Hotopf M: Self-rated health and later receipt of work-related benefits: evidence from the 1970 British Cohort Study. Psychol Med 2013, 43(8):1755-1762.
  • [13]Pape K, Bjorngaard JH, Westin S, Holmen TL, Krokstad S: Reading and writing difficulties in adolescence and later risk of welfare dependence. A ten year follow-up, the HUNT Study, Norway. BMC Public Health 2011, 11:718. BioMed Central Full Text
  • [14]Pape K, Bjørngaard JH, Holmen TL, Krokstad S: The welfare burden of adolescent anxiety and depression: a prospective study of 7500 young Norwegians and their families: the HUNT study. BMJ Open 2012, 2(6):e001942.
  • [15]Neovius K, Neovius M, Rasmussen F: The combined effects of overweight and smoking in late adolescence on subsequent disability pension: a nationwide cohort study. Int J Obes 2009, 34(1):75-82.
  • [16]De Ridder KAA, Pape K, Johnsen R, Holmen TL, Westin S, Bjørngaard JH: Adolescent health and high school dropout: a prospective cohort study of 9000 Norwegian adolescents (The Young-HUNT). PLoS One 8(9):e74954.
  • [17]Kuh D, Ben-Shlomo Y, Lynch J, Hallqvist J, Power C: Life course epidemiology. J Epidemiol Community Health 2003, 57(10):778-783.
  • [18]Najman JM: Commentary: general or cause-specific factors in explanations of class inequalities in health. Int J Epidemiol 2001, 30(2):296-297.
  • [19]Johansson E, Leijon O, Falkstedt D, Farah A, Hemmingsson T: Educational differences in disability pension among Swedish middle-aged men: role of factors in late adolescence and work characteristics in adulthood. J Epidemiol Community Health 2012, 66(10):901-907.
  • [20]Holmen TL, Bratberg G, Krokstad S, Langhammer A, Hveem K, Midthjell K, Heggland J, Holmen J: Cohort profile of the young-HUNT study, norway: a population-based study of adolescents. Int J Epidemiol 2013. doi:10.1093/ije/dys232. Feb 4. (Epub ahead of print)
  • [21]Cole TJ, Bellizzi MC, Flegal KM, Dietz WH: Establishing a standard definition for child overweight and obesity worldwide: international survey. BMJ 2000, 320(7244):1240-1243.
  • [22]White IR, Royston P, Wood AM: Multiple imputation using chained equations: issues and guidance for practice. Stat Med 2011, 30(4):377-399.
  • [23]Donovan SJ, Susser E: Commentary: advent of sibling designs. Int J Epidemiol 2011, 40(2):345-349.
  • [24]Katz MH: Methods for adjusting for baseline differences between treatment groups. In Evaluating clinical and public health interventions: a practical guide to study design and statistics. 1st edition. Edited by Katz MH. Cambridge: Cambridge University Press; 2010:101-115.
  • [25]Becker SO, Ichino A: Estimation of average treatment effects based on propensity scores. Stata J 2002, 2(4):358-377.
  • [26]Gravseth HM, Bjerkedal T, Irgens LM, Aalen OO, Selmer R, Kristensen P: Influence of physical, mental and intellectual development on disability in young Norwegian men. Eur J Public Health 2008, 18(6):650-655.
  • [27]Samuelsson A, Alexanderson K, Ropponen A, Lichtenstein P, Svedberg P: Incidence of disability pension and associations with socio-demographic factors in a Swedish twin cohort. Soc Psychiatry Psychiatr Epidemiol 2012, 47(12):1999-2009.
  • [28]Suominen S, Gould R, Ahvenainen J, Vahtera J, Uutela A, Koskenvuo M: Sense of coherence and disability pensions. A nationwide, register based prospective population study of 2196 adult Finns. J Epidemiol Community Health 2005, 59(6):455-459.
  • [29]Narusyte J, Ropponen A, Silventoinen K, Alexanderson K, Kaprio J, Samuelsson A, Svedberg P: Genetic liability to disability pension in women and men: a prospective population-based twin study. PLoS One 2011, 6(8):e23143.
  • [30]Pape K, Bjørngaard JH, De Ridder KAA, Westin S, Holmen TL, Krokstad S: Medical benefits in young Norwegians and their parents, and the contribution of family health and socioeconomic status. The HUNT Study, Norway. Scand J Public Health 2013, 41(5):455-462.
  • [31]Volanen S-M, Lahelma E, Silventoinen K, Suominen S: Factors contributing to sense of coherence among men and women. Eur J Public Health 2004, 14(3):322-330.
  • [32]Henderson M, Richards M, Stansfeld S, Hotopf M: The association between childhood cognitive ability and adult long-term sickness absence in three British birth cohorts: a cohort study. BMJ Open 2012, 2(2):e000777.
  • [33]Sitzmann T, Ely K: A meta-analysis of self-regulated learning in work-related training and educational attainment: what we know and where we need to go. Psychol Bull 2011, 137(3):421-442.
  • [34]Christensen U, Schmidt L, Kriegbaum M, Hougaard CØ, Holstein BE: Coping with unemployment: does educational attainment make any difference? Scand J Public Health 2006, 34(4):363-370.
  • [35]Ackerman PL, Chamorro-Premuzic T, Furnham A: Trait complexes and academic achievement: Old and new ways of examining personality in educational contexts. Br J Educ Psychol 2011, 81(1):27-40.
  • [36]Westin S, Schlesselman JJ, Korper M: Long-term effects of a factory closure: unemployment and disability during ten years’ follow-up. J Clin Epidemiol 1989, 42(5):435-441.
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