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Open Access 01-12-2024 | Research

Health and health behaviours in adolescence as predictors of education and socioeconomic status in adulthood – a longitudinal study

Authors: Leena K. Koivusilta, Paulyn Jean Acacio-Claro, Ville M. Mattila, Arja H. Rimpelä

Published in: BMC Public Health | Issue 1/2024

Abstract

Background

The positive association of health with education level and socioeconomic status (SES) is well-established. Two theoretical frameworks have been delineated to understand main mechanisms leading to socioeconomic health inequalities: social causation and health selection but how these work in adolescence is poorly known. We studied if adolescent health and health behaviours predict higher education and higher SES in adulthood and if family background and school performance in adolescence explain these associations.

Methods

Surveys on health and health behaviours were sent to representative samples of 12–18-year-old Finns in 1981–1997 every second year (response rate 77.8%, N = 55,682). The survey data were linked with the respondents’ and their parents’ socioeconomic data from the Finnish national registries. Both latent variables, namely, health (perceived health, health complaints, chronic disease), health-compromising behaviours (smoking status, drunkenness frequency), and family background (parents’ occupation-based SES, education, family type) and variables directly measuring health-enhancing behaviours (toothbrushing, physical activity) and school performance were used to predict higher education and higher occupation-based SES at age 34. Logistic regression analysis and structural equation models (SEM) were used.

Results

In logistic regression analyses, good health, health-enhancing behaviours, and lack of health-compromising behaviours were related to higher education and SES, also after controlling for family background and school performance. In the SEM analyses, good health, health-enhancing behaviours, and lack of health-compromising behaviours directly predicted higher SES and higher education, although the standardised coefficients were low (from 0.034 to 0.12). In all models, health, lack of health-compromising behaviours, and health-enhancing behaviours predicted school performance, which in turn, predicted the outcomes, suggesting indirect routes to these. Good socioeconomic prospects in terms of family background predicted good health, healthy behaviours, and good school performance in adolescence and higher SES and higher education in adulthood.

Conclusion

Health and health behaviours in adolescence predicted education and SES in adulthood. Even though the relationships were modest, they support the health selection hypotheses and emphasise the importance of adolescence for health inequalities during the life-course. Health and health behaviours were strongly associated with school performance and family background which together modified the paths from health and health behaviours to the outcomes.

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Galobardes B, Shaw M, Lawlor DA, Lynch JW, Davey SG. Indicators of socioeconomic position (part 1). J Epidemiol Community Health. 2006;60(1):7–12. https://doi.org/10.1136/jech.2004.023531.CrossRefPubMedPubMedCentral

Wilkinson, Richard, Marmot, Michael & World Health Organization. Regional Office for Europe. Social determinants of health: the solid facts, 2nd ed (en). World Health Organization. Regional Office for Europe; 2003. https://iris.who.int/handle/10665/326568. Accessed 6 Oct 2023.

Kröger H, Pakpahan E, Hoffmann R. What causes health inequality? A systematic review on the relative importance of social causation and health selection. Eur J Public Health. 2015;25(6):951–60. https://doi.org/10.1093/eurpub/ckv111.CrossRefPubMed

Mackenbach JP. Health Inequalities. Persistence and change in European welfare states. Oxford: Oxford University Press; 2019.CrossRef

Manor O, Matthews S, Power C. Health selection: The role of inter- and intra-generational mobility on social inequalities in health. Soc Sci Med. 2003;57(11):2217–27. https://doi.org/10.1016/S0277-9536(03)00097-2.CrossRefPubMed

Landstedt E, Brydsten A, Hammarström A, Virtanen P, Almquist YB. The role of social position and depressive symptoms in adolescence for life-course trajectories of education and work: a cohort study. BMC Public Health. 2016;16:1169. https://doi.org/10.1186/s12889-016-3820-4.CrossRefPubMedPubMedCentral

Uiters E, Maurits E, Droomers M, Zwaanswijk M, Verheij RA, van der Lucht F. The association between adolescents’ health and disparities in school career: a longitudinal cohort study. BMC Public Health. 2014;14:1104. https://doi.org/10.1186/1471-2458-14-1104.CrossRefPubMedPubMedCentral

Miech RA, Caspi A, Moffitt TE, Wright BRE, Silva BA. Low socioeconomic status and mental disorders: a longitudinal study of social selection and causation during young adulthood. Am J Sociol. 1999;104:1096–131. https://doi.org/10.1086/210137.CrossRef

van der Heide I, Gehring U, Koppelman GH, Wijga AH. Health-related factors associated with discrepancies between children’s potential and attained secondary school level: A longitudinal study. PLoS One. 2016;11(12):e0168110. https://doi.org/10.1371/journal.pone.0168110.CrossRefPubMedPubMedCentral

10.

Letelier A, Jivraj S, Heilmann A, Watt RG, Tsakos G. Life course socioeconomic position and general and oral health in later life: Assessing the role of social causation and health selection pathways. SSM – population. SSM Popul Health. 2022;17:101026. https://doi.org/10.1016/j.ssmph.2022.101026.CrossRefPubMedPubMedCentral

11.

Warren JR. Socioeconomic status and health across the life course: a test of the social causation and health selection hypotheses. Soc Forces. 2009;87(4):2125–53. https://doi.org/10.1353/sof.0.0219.CrossRefPubMedPubMedCentral

12.

Foverskov E, Holm A. Socioeconomic inequality in health in the British household panel: tests of the social causation, health selection and the indirect selection hypothesis using dynamic fixed effects panel models. Soc Sci Med. 2016;150:172–83. https://doi.org/10.1016/j.socscimed.2015.12.021.CrossRefPubMed

13.

Lynch JL, von Hippel PT. An education gradient in health, a health gradient in education, or a confounded gradient in both? Soc Sci Med. 2016;154:18–27. https://doi.org/10.1016/j.socscimed.2016.02.029.CrossRefPubMed

14.

Haas SA, Fosse NE. Health and the educational attainment of adolescents: evidence from the NLSY97. J Health Soc Behav. 2008;49(2):178–92. https://doi.org/10.1177/002214650804900205.CrossRefPubMed

15.

van Heesch MM, Bosma H, Traag T. Otten F Hospital admissions and school dropout: a retrospective cohort study of the ’selection hypothesis. Eur J Public Health. 2012;22(4):550–5. https://doi.org/10.1093/eurpub/ckr129.CrossRefPubMed

16.

Mikkonen J, Moustgaard H, Remes H, Martikainen P. The population impact of childhood health conditions on dropout from upper-secondary education. J Pediatr. 2018;196:283–90. https://doi.org/10.1016/j.jpeds.2018.01.034.CrossRefPubMed

17.

Adler NE, Stewart J. Health disparities across the lifespan: meaning, methods, and mechanisms. Ann NY Acad Sci. 2010;1186:5–23. https://doi.org/10.1111/j.1749-6632.2009.05337.x.CrossRefPubMed

18.

Hoffmann R, Kröger H, Geyer S. Social causation versus health selection in the life course: does their relative importance differ by dimension of SES? Soc Indic Res. 2019;141:1341–67. https://doi.org/10.1007/s11205-018-1871-x.CrossRef

19.

West P. Health inequalities in the early years: Is there equalisation in youth? Soc Sci Med. 1997;44(6):833–58. https://doi.org/10.1016/s0277-9536(96)00188-8.CrossRefPubMed

20.

West P, Sweeting H. Evidence on equalisation in health in youth from the West of Scotland. Soc Sci Med. 2004;59(1):13–27. https://doi.org/10.1016/j.socscimed.2003.12.004.CrossRefPubMed

21.

Koivusilta L, Rimpelä A, Vikat A. Health behaviours and health in adolescence as predictors of educational level in adulthood: a follow-up study from Finland. Soc Sci Med. 2003;57(4):577–93. https://doi.org/10.1016/s0277-0536(02)00405-7.CrossRefPubMed

22.

Minkkinen J, Lindfors P, Kinnunen J, Finell E, Vainikainen MP, Karvonen S, et al. Health as a predictor of students’ academic achievement: a 3-level longitudinal study of Finnish adolescents. J Sch Health. 2017;87:902–10. https://doi.org/10.1111/josh.12572.CrossRefPubMed

23.

Koivusilta LK, Rimpelä AH, Rimpelä M, Vikat A. Health behavior-based selection into educational tracks starts in early adolescence. Health Educ Res. 2001;16(2):201–14. https://doi.org/10.1093/her/16.2.201.CrossRefPubMed

24.

Blaiss MS, Hammerby E, Robinson S, Kennedy-Martin T, Buchs S. The burden of allergic rhinitis and allergic rhinoconjunctivitis on adolescents: a literature review. Ann Allergy Asthma Immunol. 2010;121(1):43–52. https://doi.org/10.1016/j.anai.2018.03.028.CrossRef

25.

Esch P, Bocquet V, Pull C, Couffignal S, Lehner T, Graas M, et al. The downward spiral of mental disorders and educational attainment: a systematic review on early school leaving. BMC Psychiatry. 2014;14:237. https://doi.org/10.1186/s12888-014-0237-4.CrossRefPubMedPubMedCentral

26.

Låftman SB, Magnusson C. Do health complaints in adolescence negatively predict the chance of entering tertiary education in young adulthood? Scand J Public Health. 2017;45(8):878–85. https://doi.org/10.1177/1403494817713649.CrossRefPubMed

27.

Wickersham A, Sugg HVR, Epstein S, Stewart R, Ford T, Downs J. Systematic review and meta-analysis: the association between child and adolescent depression and later educational attainment. J Am Acad Child Adolesc Psychiatry. 2021;60(1):105–18. https://doi.org/10.1016/j.jaac.2020.10.008.CrossRefPubMedPubMedCentral

28.

Dobewall H, Lindfors P, Karvonen S, Koivusilta L, Vainikainen MP, Hotulainen R, et al. Health and educational aspirations in adolescence: A longitudinal study in Finland. BMC Public Health. 2019;19:1447. https://doi.org/10.1186/s12889-019-7824-8.CrossRefPubMedPubMedCentral

29.

Ringbom I, Suvisaari J, Kääriälä A, Sourander A, Gissler M, Kelleher I, et al. Psychotic disorders in adolescence and later long-term exclusion from education and employment. Schizophr Bull. 2023;49(1):90–8. https://doi.org/10.1093/schbul/sbac151.CrossRefPubMed

30.

Lum A, Wakefield CE, Donnan B, Burns MA, Fardell JE, Marshall GM. Understanding the school experiences of children and adolescents with serious chronic illness: a systematic meta-review. Child Care Health Dev. 2017;43(5):645–62. https://doi.org/10.1111/cch.12475.CrossRefPubMed

31.

Cobham VE, Hickling A, Kimball H, Thomas HJ, Scott JG, Middeldorp CM. Systematic review: anxiety in children and adolescents with chronic medical conditions. J Am Acad Child Adolesc Psychiatry. 2020;59(5):595–618. https://doi.org/10.1016/j.jaac.2019.10.010.CrossRefPubMed

32.

Pinquart M, Shen Y. Depressive symptoms in children and adolescents with chronic physical illness: an updated meta-analysis. J Pediatric Psychol. 2011;36(4):375–84. https://doi.org/10.1093/jpepsy/jsq104.CrossRef

33.

Kirk S, Hinton D. “I’m not what I used to be”: a qualitative study exploring how young people experience being diagnosed with a chronic illness. Child Care Health Dev. 2019;45(2):216–26. https://doi.org/10.1111/cch.12638.CrossRefPubMed

34.

Champaloux SW, Young DR. Childhood chronic health conditions and educational attainment: a social ecological approach. J Adolesc Health. 2015;56(1):98–105. https://doi.org/10.1016/j.jadohealth.2014.07.016.CrossRefPubMed

35.

Vila LE. The non-monetary benefits of education. Eur J Educ. 2000;35(1):21–32. https://doi.org/10.1111/1467-3435.00003.32.CrossRef

36.

Petrovic D, de Mestral C, Bochud M, Bartley M, Kivimäki M, Vineis P, et al. The contribution of health behaviors to socioeconomic inequalities in health: a systematic review. Prev Med. 2018;113:15–31. https://doi.org/10.1016/j.ypmed.2018.05.003.CrossRefPubMed

37.

Syväoja HJ, Kantomaa MT, Ahonen T, Hakonen H, Kankaanpää A, Tammelin TH. Physical activity, sedentary behavior, and academic performance in finnish children. Med Sci Sports Exerc. 2013;45(11):2098–104. https://doi.org/10.1249/MSS.0b013e318296d7b8.CrossRefPubMed

38.

Acacio-Claro PJ, Koivusilta LK, Borja JR, Rimpelä AH. How socio-economic circumstances, school achievement and reserve capacity in adolescence predict adult education level: a three-generation study in Finland. Int J of Adolesc Youth. 2017;23(3):382–97. https://doi.org/10.1080/02673843.2017.1389759.CrossRef

39.

Koivusilta LK, Rimpelä AH, Rimpelä MK. Health-related lifestyle in adolescence–origin of social class differences in health? Health Educ Res. 1999;14(3):339–55. https://doi.org/10.1093/her/14.3.339.CrossRefPubMed

40.

Koivusilta L, West P, Saaristo V, Nummi T, Rimpelä A. From childhood socio-economic position to adult educational level—Do health behaviours in adolescence matter? A longitudinal study. BMC Public Health. 2013;13:711. https://doi.org/10.1186/1471-2458-13-711.CrossRefPubMedPubMedCentral

41.

Suhrcke M, de Paz Nieves C. The impact of health and health behaviours on educational outcomes in high-income countries: a review of the evidence. World Health Organization. Regional Office for Europe; 2011. https://iris.who.int/handle/10665/345467. Accessed 6 Oct 2023.

42.

Dobewall H, Koivusilta L, Karvonen S, Lindfors P, Kinnunen JM, Vainikainen MP, et al. Late start of upper secondary education and health-compromising behaviours among finnish adolescents: a follow-up study. Eur J Public Health. 2020;30(3):438–43. https://doi.org/10.1093/eurpub/ckz178.CrossRefPubMed

43.

Doku DT, Acacio-Claro PJ, Koivusilta L, Rimpelä A. Health and socioeconomic circumstances over three generations as predictors of youth unemployment trajectories. Eur J Public Health. 2019;29(3):517–23. https://doi.org/10.1093/eurpub/cky242.CrossRefPubMed

44.

Rodwell L, Romaniuk H, Nilsen W, Carlin JB, Lee KJ, Patton GC. Adolescent mental health and behavioural predictors of being NEET: a prospective study of young adults not in employment, education, or training. Psychol Med. 2018;48(5):861–71. https://doi.org/10.1017/S0033291717002434.CrossRefPubMed

45.

Koivusilta L, Kaltiala R, Myöhänen A, Hotulainen R, Rimpelä A. A chronic disease in adolescence and selection to an educational path-A longitudinal study. Int J Environ Res Public Health. 2022;19(21):14407. https://doi.org/10.3390/ijerph192114407.CrossRefPubMedPubMedCentral

46.

von Stumm S, Cave SN, Wakeling P. Persistent association between family socioeconomic status and primary school performance in Britain over 95 years. NPJ Sci Learn. 2022;7(1):4. https://doi.org/10.1038/s41539-022-00120-3.CrossRef

47.

Björklund A, Salvanes KG. Chapter 3–Education and family background: Mechanisms and policies. In: Hanushek EA, Machin S, Woessmann L, editors. Handbook in Economics of Education. San Diego, CA: Elsevier; 2010. p. 201–47. https://doi.org/10.1016/B978-0-444-53429-3.00003-X.CrossRef

48.

Erola J, Jalonen S, Lehti H. Parental education, class and income over early life course and children’s achievement. Res Soc Stratif Mobil. 2014;44:33–43. https://doi.org/10.1016/j.rssm.2016.01.003.CrossRef

49.

Duta A, Wielgoszewska B, Iannelli C. Different degrees of career success: social origin and graduates’ education and labour market trajectories. Adv Life Course Res. 2021;47:100376. https://doi.org/10.1016/j.alcr.2020.100376.CrossRefPubMed

50.

Almroth M, László KD, Kosidou K, Galanti MR. Individual and familial factors predict formation and improvement of adolescents’ academic expectations: a longitudinal study in Sweden. PLoS One. 2020;15(2):e0229505. https://doi.org/10.1371/journal.pone.0229505.CrossRefPubMedPubMedCentral

51.

Stack RJ, Meredith A. The impact of financial hardship on single parents: an exploration of the journey from social distress to seeking help. J Fam Econ Issues. 2018;39(2):233–42. https://doi.org/10.1007/s10834-017-9551-6.CrossRefPubMed

52.

Lee D, McLanahan S. Family structure transitions and child development: instability, selection, and population heterogeneity. Am Sociol Rev. 2015;80(4):738–63. https://doi.org/10.1177/0003122415592129.CrossRefPubMedPubMedCentral

53.

Hetherington M. Family functioning and the adjustment of adolescent siblings in diverse types of families. Monogr Soc Res in Child Dev. 1999;64(4):1–25. https://doi.org/10.1111/1540-5834.00045.CrossRef

54.

Harkness S, Gregg P, Fernández-Salgado M. The rise in single-mother families and children’s cognitive development: evidence from three British birth cohorts. Child Dev. 2020;91(5):1762–85. https://doi.org/10.1111/cdev.13342.CrossRefPubMed

55.

Kallio J, Kauppinen T, Erola J. Cumulative socioeconomic disadvantage and secondary education in Finland. Eur Sociol Rev. 2016;32(5):649–61. https://doi.org/10.1093/esr/jcw021.CrossRef

56.

Yang HK, Gustafsson J, Rosen M. School performance differences and policy variations in Finland, Norway and Sweden. In: Hansen KY, Gustafsson JE, Rosén M, Sulkunen S, Nissinen K, Kupari P, et al. Northern lights on TIMSS and PIRLS 2011: Differences and similarities in the Nordic countries. TemaNord 2104:528. Copenhagen: Nordic Council of Ministers; 2014. pp. 25–48.

57.

Hanushek EA, Schwerdt G, Woessmann L, Zhang L. General education, vocational education, and labor-market outcomes over the lifecycle. J Hum Resour. 2017;52(1):48–87. https://doi.org/10.3368/jhr.52.1.0415-7074R.CrossRef

58.

Huurre T, Rahkonen O, Komulainen E, Aro H. Socioeconomic status as a cause and consequence of psychosomatic symptoms from adolescence to adulthood. Soc Psychiatry Psychiatr Epidemiol. 2005;40(7):580–7. https://doi.org/10.1007/s00127-005-0930-1.CrossRefPubMed

59.

Sweeting H, Green M, Benzeval M, West P. The emergence of health inequalities in early adulthood: evidence on timing and mechanisms from a West of Scotland cohort. BMC Public Health. 2016;16:41. https://doi.org/10.1186/s12889-015-2674-5.CrossRefPubMedPubMedCentral

60.

Sacker A, Schoon I, Bartley M. Social inequality in educational achievement and psychosocial adjustment throughout childhood: magnitude and mechanisms. Soc Sci Med. 2002;55:863–80. https://doi.org/10.1016/S0277-9536(01)00228-3.CrossRefPubMed

61.

Hooper D, Coughlan J, Mullen MR. Structural equation modelling: Guidelines for determining model fit. EJBRM. 2007;6(1):53–60. https://doi.org/10.21427/D7CF7R.CrossRef

62.

Di Leo G, Sardanelli F. Statistical significance: p value, 0.05 threshold, and applications to randomics–reasons for a conservative approach. Eur Radiol Exp. 2020;4(1):18. https://doi.org/10.1186/s41747-020-0145-y.CrossRefPubMedPubMedCentral

63.

IBM Corp. Released 2020. IBM SPSS Statistics for Windows, Version 27.0. Armonk: IBM Corp; 2022.

64.

StataCorp. StataCorp LLC. Stata statistical software: release 17. College Station: StataCorp; 2021.

65.

Statistics Finland. Fiona remote access system. Statistics Finland. 2023. https://www.stat.fi/tup/mikroaineistot/etakaytto_en.html. Accessed 6 Oct 2023.

66.

Conger RD, Conger KJ, Martin MJ. Socioeconomic status, family processes, and individual development. J Marriage Fam. 2010;72(3):685–704. https://doi.org/10.1111/j.1741-3737.2010.00725.x.CrossRefPubMedPubMedCentral

67.

Martin MJ, Conger RD, Schofield TJ, Dogan SJ, Widaman KF, Donnellan MB, et al. Evaluation of the interactionist model of socioeconomic status and problem behavior: a developmental cascade across generations. Dev Psychopathol. 2010;22(3):695–713. https://doi.org/10.1017/S0954579410000374.CrossRefPubMedPubMedCentral

68.

Biddle SJ, Pearson N, Ross GM, Braithwaite R. Tracking of sedentary behaviours of young people: a systematic review. Prev Med. 2010;51(5):345–51. https://doi.org/10.1016/j.ypmed.2010.07.018.CrossRefPubMed

69.

Craigie AM, Lake AA, Kelly SA, Adamson AJ, Mathers JC. Tracking of obesity-related behaviours from childhood to adulthood: a systematic review. Maturitas. 2011;70(3):266–84. https://doi.org/10.1016/j.maturitas.2011.08.005.CrossRefPubMed

70.

Kjonniksen L, Torsheim T, Wold B. Tracking of leisure-time physical activity during adolescence and young adulthood: a 10-year longitudinal study. Int J Behav Nutr Phys Act. 2008;29(5):69. https://doi.org/10.1186/1479-5868-5-69.CrossRef

71.

Bauldry MJ, Shanahan JD, Boardman RA, Miech RM. A life course model of self-rated health through adolescence and young adulthood. Soc Sci Med. 2012;75(7):1311–20. https://doi.org/10.1016/j.socscimed.2012.05.017.CrossRefPubMedPubMedCentral

72.

Schmitt SA, Paes TM, Duncan RJ, Vandell DL. Early cumulative risk and outcomes in adolescence and adulthood: the role of executive function and behavioral regulation. Dev Psychol. 2023;59(11):1988–2001. https://doi.org/10.1037/dev0001647.CrossRefPubMed

73.

Albertini M, Radl J. Intergenerational transfers and social class: Intergenerational transfers as means of status reproduction? Acta Sociologica. 2012;55(2):107–23. https://doi.org/10.1177/0001699311431596.CrossRef

74.

Torikka A, Kaltiala-Heino R, Rimpelä A, Marttunen M, Luukkaala T, Rimpelä M. Depression is increasing among socio-economically disadvantaged adolescents – repeated cross-sectional surveys from Finland from 2000 to 2011. BMC Public Health. 2014;14:408. https://doi.org/10.1186/1471-2458-14-408.CrossRefPubMedPubMedCentral

75.

Mikkonen J, Remes H, Moustgaard H, Martikainen P. Evaluating the role of parental education and adolescent health problems in educational attainment. Demography. 2020;57:2245–67. https://doi.org/10.1007/S13524-020-009194.CrossRefPubMed

76.

Mays D, Gilman SE, Rende R, Luta G, Tercyak KP, Niaura RS. Parental smoking exposure and adolescent smoking trajectories. Pediatrics. 2014;133(6):983–91. https://doi.org/10.1542/peds.2013-3003.CrossRefPubMedPubMedCentral

77.

Gilman SE, Rende R, Boergers J, Abrams DB, Buka SL, Clark MA, et al. Parental smoking and adolescent smoking initiation: an intergenerational perspective on tobacco control. Pediatrics. 2009;123(2):e274. https://doi.org/10.1542/peds.2008-2251.CrossRefPubMed

78.

Rainio SU, Rimpelä AH. Home smoking bans in Finland and the association with child smoking. Eur J Pub Health. 2008;18:306–11. https://doi.org/10.1093/eurpub/ckm098.CrossRef

79.

Petersen TL, Bang Møller L, Brønd JC, Jepsen R, Grøntved A. Association between parent and child physical activity: a systematic review. Int J Behav Nutr Phys Act. 2020;17:67. https://doi.org/10.1186/s12966-020-00966-z.CrossRefPubMedPubMedCentral

80.

Stahlsberg R, Pedersen AV. Effects of socioeconomic status on the physical activity in adolescents: a systematic review of the evidence. Scand J Med Sci Sports. 2010;20:368–83. https://doi.org/10.1111/j.1600-0838.2009.01047.x.CrossRef

81.

Kaushik M, Sood S. A systematic review of parents’ knowledge of children’s oral health. Cureus. 2023;15(7):e41485. https://doi.org/10.7759/cureus.41485.CrossRefPubMedPubMedCentral

82.

Lindfors P, Minkkinen J, Katainen A, Rimpelä A. Do maternal knowledge and paternal knowledge of children’s whereabouts buffer differently against alcohol use? A longitudinal study among Finnish boys and girls. Drug Alcohol Depend. 2019;194:351–7. https://doi.org/10.1016/j.drugalcdep.2018.10.025.CrossRefPubMed

83.

Minkkinen JL, Kinnunen JM, Karvonen S, Hotulainen RH, Lindfors PL, Rimpela AH. Low schoolwork engagement and schoolwork difficulties predict smoking in adolescence? Eur J Public Health. 2019;29(1):44–9. https://doi.org/10.1093/eurpub/cky179.CrossRefPubMed

84.

Hiemstra M, Otten R, de Leeuw RNH, van Schayck OCP, Engels RCME. The changing role of self-efficacy in adolescent smoking initiation. J Adolesc Health. 2011;48(6):597–603. https://doi.org/10.1016/j.jadohealth.2010.09.011.CrossRefPubMed

85.

Turner K, West P, Gordon J, Young R, Sweeting H. Could the peer group explain school differences in pupil smoking rates? Am exploratory study Soc Sci Med. 2006;62(10):2513–25. https://doi.org/10.1016/j.socscimed.2005.11.017.CrossRef

86.

Littlecott HJ, Moore GF, Evans RE, Melendez-Torres GJ, McCann M, Reed H, et al. Perceptions of friendship, peers and influence on adolescent smoking according to tobacco control context: a systematic review and meta-ethnography of qualitative research. BMC Public Health. 2023;23(1):424. https://doi.org/10.1186/s12889-022-14727-z.CrossRefPubMedPubMedCentral

87.

Oyserman D, Fryberg SA, Yoder N. Identity-based motivation and health. J Pers Soc Psychol. 2007;93(6):1011–27. https://doi.org/10.1037/0022-3514.93.6.1011.CrossRefPubMed

88.

de Bruine M, Denissen JJA. Giletta M.J Disentangling the effects of peer status and peer victimization on perceived physical health in adolescence. J Adolesc. 2022;94(3):435–47. https://doi.org/10.1002/jad.12038.CrossRefPubMed

89.

Blaxter M. Health and Lifestyles. Tavistock: Routledge; 1990. ISBN 0-415-00147-L.CrossRef

90.

Koivusilta L. Health-related selection into educational tracks. A mechanism producing socio-economic health differences. Annales Universitatis Turkuensis. Ser. D. Tom. 394. Medica-Odontologica. Turku: Painosalama Oy; 2000.

91.

Lintonen T, Rimpelä M. The validity of the concept of “self-perceived drunkenness” in adolescent health surveys. J Subst Use. 2001;6:145–50. https://doi.org/10.1080/14659890152558750.CrossRef

Title: Health and health behaviours in adolescence as predictors of education and socioeconomic status in adulthood – a longitudinal study
Authors: Leena K. Koivusilta
Paulyn Jean Acacio-Claro
Ville M. Mattila
Arja H. Rimpelä
Publication date: 01-12-2024
Publisher: BioMed Central
Published in: BMC Public Health / Issue 1/2024
Electronic ISSN: 1471-2458
DOI: https://doi.org/10.1186/s12889-024-18668-7

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Health and health behaviours in adolescence as predictors of education and socioeconomic status in adulthood – a longitudinal study

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