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Multiple social positions and well-being among Nordic adolescents: An intersectional MAIHDA analysis of the interplay between gender, age, immigrant background, family structure, and perceived socioeconomic status

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  • Gustafsson, Jasmine
  • Konttinen, Hanna
  • Lyyra, Nelli
  • Simonsen, Nina
  • Eriksson, Charli
  • Fismen, Anne-Siri
  • Thorsteinsson, Einar
  • Jasinskaja-Lahti, Inga

Abstract

Research on well-being inequalities has typically examined the independent effects of social positions, often overlooking how the interplay of multiple social categorizations can shape well-being outcomes. This study explored how multiple social positions based on gender, age, immigrant background, family structure, and perceived family socioeconomic status shape patterns of inequality in three well-being outcomes—psychosomatic complaints, mental well-being, and problematic social media use—among Nordic adolescents.

Suggested Citation

  • Gustafsson, Jasmine & Konttinen, Hanna & Lyyra, Nelli & Simonsen, Nina & Eriksson, Charli & Fismen, Anne-Siri & Thorsteinsson, Einar & Jasinskaja-Lahti, Inga, 2026. "Multiple social positions and well-being among Nordic adolescents: An intersectional MAIHDA analysis of the interplay between gender, age, immigrant background, family structure, and perceived socioeconomic status," Social Science & Medicine, Elsevier, vol. 389(C).
  • Handle: RePEc:eee:socmed:v:389:y:2026:i:c:s0277953625011360
    DOI: 10.1016/j.socscimed.2025.118805
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    References listed on IDEAS

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    1. Evans, Clare R. & Erickson, Natasha, 2019. "Intersectionality and depression in adolescence and early adulthood: A MAIHDA analysis of the national longitudinal study of adolescent to adult health, 1995–2008," Social Science & Medicine, Elsevier, vol. 220(C), pages 1-11.
    2. Gita Sen & Aditi Iyer & Chandan Mukherjee, 2009. "A Methodology to Analyse the Intersections of Social Inequalities in Health," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 10(3), pages 397-415.
    3. repec:osf:socarx:635hx_v1 is not listed on IDEAS
    4. Bauer, Greta R., 2014. "Incorporating intersectionality theory into population health research methodology: Challenges and the potential to advance health equity," Social Science & Medicine, Elsevier, vol. 110(C), pages 10-17.
    5. Belardinelli, Paolo & Torbica, Aleksandra & Fattore, Giovanni, 2022. "Longitudinal associations between different measures of socioeconomic status and health behavior among adolescents. Data from a wealthy Italian region," LSE Research Online Documents on Economics 115273, London School of Economics and Political Science, LSE Library.
    6. Evans, Clare R. & Williams, David R. & Onnela, Jukka-Pekka & Subramanian, S.V., 2018. "A multilevel approach to modeling health inequalities at the intersection of multiple social identities," Social Science & Medicine, Elsevier, vol. 203(C), pages 64-73.
    7. Evans, Clare & Leckie, George & Subramanian, SV & Bell, Andrew & Merlo, Juan, 2024. "A Tutorial for Conducting Intersectional Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA)," SocArXiv 635hx, Center for Open Science.
    8. Wilkes, Rima & Karimi, Aryan, 2024. "What does the MAIHDA method explain?," Social Science & Medicine, Elsevier, vol. 345(C).
    9. Erin K Davisson & Fernanda C Andrade & Jennifer Godwin & Rick Hoyle, 2025. "Adolescent reports of subjective socioeconomic status: An adequate alternative to parent-reported objective and subjective socioeconomic status?," PLOS ONE, Public Library of Science, vol. 20(1), pages 1-18, January.
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