IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i19p3605-d270917.html
   My bibliography  Save this article

Adolescent Socioeconomic Status and Mental Health Inequalities in the Netherlands, 2001–2017

Author

Listed:
  • Dominic Weinberg

    (Department of Interdisciplinary Social Science, Faculty of Social and Behavioural Sciences, Utrecht University, Utrecht 3584 CH, The Netherlands)

  • Gonneke W. J. M. Stevens

    (Department of Interdisciplinary Social Science, Faculty of Social and Behavioural Sciences, Utrecht University, Utrecht 3584 CH, The Netherlands)

  • Elisa L. Duinhof

    (Department of Interdisciplinary Social Science, Faculty of Social and Behavioural Sciences, Utrecht University, Utrecht 3584 CH, The Netherlands)

  • Catrin Finkenauer

    (Department of Interdisciplinary Social Science, Faculty of Social and Behavioural Sciences, Utrecht University, Utrecht 3584 CH, The Netherlands
    Department of Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam 1081 BT, The Netherlands)

Abstract

Even in wealthy countries there are substantial socioeconomic inequalities in adolescent mental health. Socioeconomic status (SES) indicators—parental SES, adolescent subjective SES and adolescent educational level—are negatively associated with adolescent mental health problems, but little is known about the interplay between these SES indicators and whether associations have changed over time. Using data from the Dutch Health Behaviour in School-Aged Children (HBSC) studies ( n = 27,020) between 2001 and 2017, we examined associations between three SES indicators and six indicators of adolescent mental health problems. Linear regressions revealed that adolescent subjective SES and adolescent educational level were independently negatively associated with adolescent mental health problems and positively associated with adolescent life satisfaction, but parental SES had negligible independent associations with adolescent mental health problems and life satisfaction. However, when interactions between SES indicators were considered, high adolescent subjective SES was shown to buffer the negative association between parental SES and adolescent mental health problems and the positive association between parental SES and life satisfaction. Despite societal changes between 2001 and 2017, socioeconomic inequalities in adolescent mental health were stable during this period. Findings suggest that all three SES indicators—parental SES, adolescent subjective SES and adolescent educational level—are important for studying socioeconomic inequalities in adolescent mental health.

Suggested Citation

  • Dominic Weinberg & Gonneke W. J. M. Stevens & Elisa L. Duinhof & Catrin Finkenauer, 2019. "Adolescent Socioeconomic Status and Mental Health Inequalities in the Netherlands, 2001–2017," IJERPH, MDPI, vol. 16(19), pages 1-18, September.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:19:p:3605-:d:270917
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/19/3605/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/19/3605/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ariel Kalil, 2013. "Effects of the Great Recession on Child Development," The ANNALS of the American Academy of Political and Social Science, , vol. 650(1), pages 232-250, November.
    2. Irene Moor & Thomas Lampert & Katharina Rathmann & Benjamin Kuntz & Petra Kolip & Jacob Spallek & Matthias Richter, 2014. "Explaining educational inequalities in adolescent life satisfaction: do health behaviour and gender matter?," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 59(2), pages 309-317, April.
    3. Dominic Weinberg & Gonneke W J M Stevens & Catrin Finkenauer & Bert Brunekreef & Henriëtte A Smit & Alet H Wijga, 2019. "The pathways from parental and neighbourhood socioeconomic status to adolescent educational attainment: An examination of the role of cognitive ability, teacher assessment, and educational expectation," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-20, May.
    4. Bettina F Piko & Aleksandra Luszczynska & Kevin M Fitzpatrick, 2013. "Social inequalities in adolescent depression: The role of parental social support and optimism," International Journal of Social Psychiatry, , vol. 59(5), pages 474-481, August.
    5. McLaughlin, K.A. & Costello, E.J. & Leblanc, W. & Sampson, N.A. & Kessler, R.C., 2012. "Socioeconomic status and adolescent mental disorders," American Journal of Public Health, American Public Health Association, vol. 102(9), pages 1742-1750.
    6. Concepción Moreno-Maldonado & Francisco Rivera & Pilar Ramos & Carmen Moreno, 2018. "Measuring the Socioeconomic Position of Adolescents: A Proposal for a Composite Index," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(2), pages 517-538, April.
    7. Candice Odgers, 2018. "Smartphones are bad for some teens, not all," Nature, Nature, vol. 554(7693), pages 432-434, February.
    8. William Boyce & Torbjorn Torsheim & Candace Currie & Alessio Zambon, 2006. "The Family Affluence Scale as a Measure of National Wealth: Validation of an Adolescent Self-Report Measure," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 78(3), pages 473-487, September.
    9. Kawachi, Ichiro & Subramanian, S.V., 2018. "Social epidemiology for the 21st century," Social Science & Medicine, Elsevier, vol. 196(C), pages 240-245.
    10. Jane E. K. Hartley & Kate Levin & Candace Currie, 2016. "A new version of the HBSC Family Affluence Scale - FAS III: Scottish Qualitative Findings from the International FAS Development Study," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 9(1), pages 233-245, March.
    11. K. Levin & C. Currie, 2014. "Reliability and Validity of an Adapted Version of the Cantril Ladder for Use with Adolescent Samples," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 119(2), pages 1047-1063, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yekaterina Chzhen & Irene Moor & William Pickett & Emilia Toczydlowska & Gonneke Stevens & UNICEF Innocenti Research Centre, 2016. "Family Affluence and Inequality in Adolescent Health and Life Satisfaction: Evidence from the HBSC study 2002-2014," Papers inwopa836, Innocenti Working Papers.
    2. Alberto Borraccino & Noemi Marengo & Paola Dalmasso & Claudia Marino & Silvia Ciardullo & Paola Nardone & Patrizia Lemma & The 2018 HBSC-Italia Group, 2022. "Problematic Social Media Use and Cyber Aggression in Italian Adolescents: The Remarkable Role of Social Support," IJERPH, MDPI, vol. 19(15), pages 1-10, August.
    3. Hansen, Kerstin F. & Stutzer, Alois, 2022. "Parental unemployment, social insurance and child well-being across countries," Journal of Economic Behavior & Organization, Elsevier, vol. 204(C), pages 600-617.
    4. Vladimir Hobza & Zdenek Hamrik & Jens Bucksch & Bart De Clercq, 2017. "The Family Affluence Scale as an Indicator for Socioeconomic Status: Validation on Regional Income Differences in the Czech Republic," IJERPH, MDPI, vol. 14(12), pages 1-9, December.
    5. Mia Hakovirta & Johanna Kallio, 2016. "Children’s Perceptions of Poverty," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 9(2), pages 317-334, June.
    6. Zsuzsa Lábiscsák-Erdélyi & Ilona Veres-Balajti & Annamária Somhegyi & Karolina Kósa, 2022. "Self-Esteem Is Independent Factor and Moderator of School-Related Psychosocial Determinants of Life Satisfaction in Adolescents," IJERPH, MDPI, vol. 19(9), pages 1-14, May.
    7. Jaroslava Kopcakova & Zuzana Dankulincova Veselska & Andrea Madarasova Geckova & Daniel Klein & Jitse P. Dijk & Sijmen A. Reijneveld, 2018. "Are school factors and urbanization supportive for being physically active and engaging in less screen-based activities?," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 63(3), pages 359-366, April.
    8. Róbert Ochaba & Tibor Baška & Martina Bašková, 2021. "Alcohol Use and Its Affordability in Adolescents in Slovakia between 2010 and 2018: Girls Are Less Adherent to Policy Measures," IJERPH, MDPI, vol. 18(10), pages 1-10, May.
    9. Andreas Jørgensen & Christina Bjørk Petersen & Martin Eghøj & Mette Toftager, 2021. "When Movement Moves: Study Protocol for a Multi-Method Pre/Post Evaluation Study of Two Programmes; the Danish Team Twin and Cycling Without Age," IJERPH, MDPI, vol. 18(19), pages 1-24, September.
    10. Heidi Carlerby & Eija Viitasara & Anders Knutsson & Katja Gillander Gådin, 2011. "Subjective health complaints among boys and girls in the Swedish HBSC study: focussing on parental foreign background," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 56(5), pages 457-464, October.
    11. Brock Boudreau & Christiane Poulin, 2009. "An examination of the validity of the Family Affluence Scale II (FAS II) in a general adolescent population of Canada," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 94(1), pages 29-42, October.
    12. Su Kye & Keeho Park, 2014. "Health-related determinants of happiness in Korean adults," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 59(5), pages 731-738, October.
    13. Jaroslava Voráčová & Erik Sigmund & Dagmar Sigmundová & Michal Kalman, 2016. "Family Affluence and the Eating Habits of 11- to 15-Year-Old Czech Adolescents: HBSC 2002 and 2014," IJERPH, MDPI, vol. 13(10), pages 1-11, October.
    14. Walter Bossert & Andrew E Clark & Conchita D’Ambrosio & Anthony Lepinteur, 2023. "Economic insecurity and political preferences," Oxford Economic Papers, Oxford University Press, vol. 75(3), pages 802-825.
    15. Corominas, Mari & González-Carrasco, Mònica & Casas, Ferran, 2021. "Analyzing factors for an optimum play environment through children’s subjective well-being indicators," Children and Youth Services Review, Elsevier, vol. 122(C).
    16. Elgar, Frank J. & De Clercq, Bart & Schnohr, Christina W. & Bird, Phillippa & Pickett, Kate E. & Torsheim, Torbjørn & Hofmann, Felix & Currie, Candace, 2013. "Absolute and relative family affluence and psychosomatic symptoms in adolescents," Social Science & Medicine, Elsevier, vol. 91(C), pages 25-31.
    17. Natalia Arias & María Dolores Calvo & José Alberto Benítez-Andrades & María José Álvarez & Beatriz Alonso-Cortés & Carmen Benavides, 2018. "Socioeconomic Status in Adolescents: A Study of Its Relationship with Overweight and Obesity and Influence on Social Network Configuration," IJERPH, MDPI, vol. 15(9), pages 1-17, September.
    18. Nick Drydakis, 2023. "Parental unemployment and adolescents' academic performance," International Journal of Manpower, Emerald Group Publishing Limited, vol. 44(7), pages 1362-1381, February.
    19. Anne-Kathrin M. Loer & Olga M. Domanska & Christiane Stock & Susanne Jordan, 2022. "Correction: Loer et al. Subjective Generic Health Literacy and Its Associated Factors among Adolescents: Results of a Population-Based Online Survey in Germany. Int. J. Environ. Res. Public Health 202," IJERPH, MDPI, vol. 19(3), pages 1-3, February.
    20. Maja Gajda & Agnieszka Małkowska-Szkutnik & Wojciech Rodzeń, 2022. "Self-Regulation in Adolescents: Polish Adaptation and Validation of the Self-Regulation Scale," IJERPH, MDPI, vol. 19(12), pages 1-19, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:16:y:2019:i:19:p:3605-:d:270917. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.