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Gender, the gender gap, and their interaction; analysis of relationships with children’s mental health problems

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A Correction to this article was published on 15 October 2021

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Abstract

Purpose

The present study seeks to examine gender differences in internalizing and externalizing problems either parent/teacher or self-reported and to investigate the influence of country-level gender gap on children’s mental health problems across countries with high and low gender gap across Europe.

Methods

The School Children’s Mental Health in Europe (SCMHE) survey collected data on primary school children living in six European countries, using self-reports (SR) from children (Dominic Interactive), as well as combination of parent- and teacherreports (P/T C) (Strengths and Difficulties Questionnaire) to assess internalizing and externalizing mental health problems. The World Economic Forum’s (WEF’s) Global Gender Gap report’s Gender Gap Index (GGI) was used to categorize countries with high and low gender gap.

Results

Boys had greater odds of externalizing problems (OR = 2.6 P/T C, 1.95 SR), and lower odds of internalizing problems (OR = 0.85 P/T C, 0.63 SR). The gender gap’s association with mental health problems was different depending on the informant used to identify these problems. A small gap was a risk factor based on reports from adults for externalizing (OR = 1.53) and internalizing problems (OR = 1.42) while it was a protective factor for SR internalizing problems (OR = 0.72). For these problems the gender gap impacted boys and girls differently: a small gender gap was protective for boys but not for girls, including when controlling for key confounding variables.

Conclusions

The differential impact of country-level gender gap observed between self-reported and parent- or teacher-reported mental health is complex but nevertheless present trough mechanisms that are worthwhile to study in depth, with a special attention to the informants and the type of problems examined.

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References

  1. Kieling C, Baker-Henningham H, Belfer M, Conti G, Ertem I, Omigbodun O et al (2011) Child and adolescent mental health worldwide: evidence for action. Lancet 378(9801):1515–1525

    Article  Google Scholar 

  2. Costello EJ, Egger H, Angold A (2005) 10-year research update review: the epidemiology of child and adolescent psychiatric disorders: I. Methods and public health burden. J Am Acad Child Adolesc Psychiatry 44(10):972–986

    Article  Google Scholar 

  3. Fergusson DM, Horwood JL (2001) The Christchurch Health and Development Study: review of findings on child and adolescent mental health. Aust N Z J Psychiatry 35(3):287–296

    Article  CAS  Google Scholar 

  4. Costello EJ, Copeland W, Angold A (2016) The Great Smoky Mountains study: developmental epidemiology in the southeastern United States. Soc Psychiatry Psychiatr Epidemiol 51(5):639–646

    Article  Google Scholar 

  5. Ford T, Goodman R, Meltzer H (2003) The British child and adolescent mental health survey 1999: the prevalence of DSM-IV disorders. J Am Acad Child Adolesc Psychiatry 42(10):1203–1211

    Article  Google Scholar 

  6. Kovess-Masfety V, Husky MM, Keyes K, Hamilton A, Pez O, Bitfoi A et al (2016) Comparing the prevalence of mental health problems in children 6–11 across Europe. Soc Psychiatry Psychiatr Epidemiol 51(8):1093–1103

    Article  Google Scholar 

  7. Hankin BL, Abramson LY, Moffitt TE, Silva PA, McGee R, Angell KE (1998) Development of depression from preadolescence to young adulthood: emerging gender differences in a 10-year longitudinal study. J Abnorm Psychol 107(1):128

    Article  CAS  Google Scholar 

  8. Van de Velde S, Bracke P, Levecque K (2010) Gender differences in depression in 23 European countries. Cross-national variation in the gender gap in depression. Social Sci Med 71(2):305–313

    Article  Google Scholar 

  9. Husky MM, Boyd A, Bitfoi A, Carta MG, Chan-Chee C, Goelitz D, et al. (2017) Self-reported mental health in children ages 6–12 years across eight European countries. Eur Child Adolescent Psychiatry 1–11

  10. Hammarström A, Lehti A, Danielsson U, Bengs C, Johansson EE (2009) Gender-related explanatory models of depression: a critical evaluation of medical articles. Public Health 123(10):689–693

    Article  Google Scholar 

  11. McPherson KE, Kerr S, McGee E, Morgan A, Cheater FM, McLean J et al (2014) The association between social capital and mental health and behavioural problems in children and adolescents: an integrative systematic review. BMC psychology 2(1):7

    Article  Google Scholar 

  12. Priess HA, Lindberg SM, Hyde JS (2009) Adolescent gender-role identity and mental health: gender intensification revisited. Child Dev 80(5):1531–1544

    Article  Google Scholar 

  13. Minguez A (2017) The role of family policy in explaining the international variation in child subjective well-being. Soc Indic Res 134(3):1173–1194

    Article  Google Scholar 

  14. Ravens-Sieberer U, Erhart M, Gosch A, Wille N (2008) Mental health of children and adolescents in 12 European countries—results from the European KIDSCREEN study. Clin Psychol Psychother 15(3):154–163

    Article  Google Scholar 

  15. Kovess V, Keyes KM, Hamilton A, Pez O, Bitfoi A, Koç C et al (2015) Maternal smoking and offspring inattention and hyperactivity: results from a cross-national European survey. Eur Child Adolesc Psychiatry 24(8):919–929

    Article  Google Scholar 

  16. Kovess V, Pilowsky DJ, Boyd A, Pez O, Bitfoi A, Carta M et al (2013) Parental smoking in the vicinity of children and tobacco control policies in the European region. PLoS ONE 8(2):e56783-e

    Article  Google Scholar 

  17. Seedat S, Scott KM, Angermeyer MC, Berglund P, Bromet EJ, Brugha TS et al (2009) Cross-national associations between gender and mental disorders in the World Health Organization World Mental Health Surveys. Arch Gen Psychiatry 66(7):785–795

    Article  Google Scholar 

  18. Hausmann R, Tyson LD, Zahidi S. (2010) The Global Gender Gap Report. World Economic Forum

  19. Bajeux E, Klemanski DH, Husky M, Leray E, Chee CC, Shojaei T et al (2018) Factors associated with parent–child discrepancies in reports of mental health disorders in young children. Child Psychiatry Hum Dev 49(6):1003–1010

    Article  Google Scholar 

  20. De Los RA, Kazdin AE (2005) Informant discrepancies in the assessment of childhood psychopathology: a critical review, theoretical framework, and recommendations for further study. Psychol Bull 131(4):483

    Article  Google Scholar 

  21. Cheng S, Keyes KM, Bitfoi A, Carta MG, Koc C, Goelitz D et al. (2018) Understanding parent-teacher agreement of the Strengths and Difficulties Questionnaire (SDQ): comparison across seven European countries. Int J Methods Psychiatr Res 27(1)

  22. Valla JP, Bergeron L, Berube H, Gaudet N, St-Georges M (1994) A structured pictorial questionnaire to assess DSM-III-R-based diagnoses in children (6–11 years): development, validity, and reliability. J Abnorm Child Psychol 22(4):403–423

    Article  CAS  Google Scholar 

  23. Valla JP, Bergeron L, Bidaut-Russell M, St-Georges M, Gaudet N (1997) Reliability of the Dominic-R: a young child mental health questionnaire combining visual and auditory stimuli. J Child Psychol Psychiatry 38(6):717–724

    Article  CAS  Google Scholar 

  24. Valla JP, Bergeron L, Smolla N (2000) The Dominic-R: a pictorial interview for 6- to 11-year-old children. J Am Acad Child Adolesc Psychiatry 39(1):85–93

    Article  CAS  Google Scholar 

  25. Shojaei T, Wazana A, Pitrou I, Gilbert F, Bergeron L, Valla JP et al (2009) Psychometric properties of the Dominic interactive in a large French sample. Can J Psychiatry Revue Can Psychiatr 54(11):767–776

    Article  Google Scholar 

  26. Kuijpers R, Otten R, Vermulst A, Pez O, Bitfoi A, Carta M et al (2014) Cross-country construct validity of the ‘Dominic Interactive’. Eur J Public Health 24(suppl 2):cku165.046

    Google Scholar 

  27. Kuijpers RC, Otten R, Vermulst AA, Pez O, Bitfoi A, Carta M, et al. (2015) Reliability, factor structure, and measurement invariance of the dominic interactive across european countries: cross-country utility of a child mental health self-report. Psychol Assessment

  28. Goodman R (1997) The strengths and difficulties questionnaire: a research note. J Child Psychol Psychiatry 38(5):581–586

    Article  CAS  Google Scholar 

  29. Goodman R (2001) Psychometric properties of the strengths and difficulties questionnaire. J Am Acad Child Adolesc Psychiatry 40(11):1337–1345

    Article  CAS  Google Scholar 

  30. Ware JE, Sherbourne CD (1992) The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 30(6):473–483

    Article  Google Scholar 

  31. Kovess V (2004) The state of mental health in the European union. European Commission, Luxemburg

    Google Scholar 

  32. Ware JE, Kosinski M, Keller S (1994) SF-36 physical and mental component summary measures: a user’s manual. The Health Institute, New England Medical Center, Boston

    Google Scholar 

  33. McCabe C, Thomas K, Brazier J, Coleman P (1996) Measuring the mental health status of a population: a comparison of the GHQ-12 and the SF-36 (MHI-5). Br J Psychiatry 169(4):516–521

    Article  CAS  Google Scholar 

  34. Saunders J, Aasland O, Babor T, de la Fuente J, Grant M (1993) Development of the alcohol use disorders identification test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption–II. Addiction 88(6):791–804

    Article  CAS  Google Scholar 

  35. Narad ME, Garner AA, Peugh JL, Tamm L, Antonini TN, Kingery KM et al (2015) Parent-teacher agreement on ADHD symptoms across development. Psychol Assess 27(1):239–248

    Article  Google Scholar 

  36. Verhulst FC, Koot HM, Van der Ende J (1994) Differential predictive value of parents’ and teachers’ reports of children’s problem behaviors: a longitudinal study. J Abnorm Child Psychol 22(5):531–546

    Article  CAS  Google Scholar 

  37. Slade T, Chapman C, Swift W, Keyes K, Tonks Z, Teesson M (2016) Birth cohort trends in the global epidemiology of alcohol use and alcohol-related harms in men and women: systematic review and metaregression. BMJ Open 6(10):e011827

    Article  Google Scholar 

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Funding

This study was funded by the European Union, Grant number 2006336 (Kovess-Masfety).

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Correspondence to Vivianne Kovess-Masfety.

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In the original publication of the article, the first author family name has been incorrectly published. The correct author name is Vivianne Kovess-Masfety.

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Kovess-Masfety, V., Woodward, M.J., Keyes, K. et al. Gender, the gender gap, and their interaction; analysis of relationships with children’s mental health problems. Soc Psychiatry Psychiatr Epidemiol 56, 1049–1057 (2021). https://doi.org/10.1007/s00127-020-01950-5

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  • DOI: https://doi.org/10.1007/s00127-020-01950-5

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