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Using latent class analysis to explore complex associations between socioeconomic status and adolescent health and wellbeing

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  • معلومة اضافية
    • بيانات النشر:
      Elsevier
    • الموضوع:
      2021
    • Collection:
      Cardiff University: ORCA (Online Research @ Cardiff)
    • نبذة مختصرة :
      Purpose Research demonstrates a strong socioeconomic gradient in health and well-being. However, many studies rely on unidimensional measures of socioeconomic status (SES) (e.g. educational qualifications, household income), and there is often a more limited consideration of how facets of SES combine to impact well-being. This paper develops a multidimensional measure of SES, drawing on family and school-level factors, to provide more nuanced understandings of socioeconomic patterns in adolescent substance use and mental well-being. Methods Data from the Student Health and Wellbeing Survey from Wales, UK was employed. The sample compromised 22,372 students and we used latent class analysis to identify distinct groups using three measures of SES. These classes were then used to estimate mental well-being, internalizing symptoms, and substance use. Results The five-class solution offered the best fit. Findings indicated distinct classes of families as follows: “nonworking,” “deprived working families,” “affluent families in deprived schools,” “lower affluence,” and “higher affluence.” There was a clear relationship among the classes and mental well-being, internalizing symptoms, smoking, and cannabis use; alcohol was the exception to this. Conclusions The identification of these classes led to a fuller understanding of the health and well-being effects of SES, showing clearer patterning in health behaviors that often is not captured in research. The implications for adolescent health and well-being are discussed, including considerations for future research.
    • File Description:
      application/pdf
    • Relation:
      https://orca.cardiff.ac.uk/id/eprint/141954/2/1-s2.0-S1054139X21003062-main.pdf; Lowthian, Emily https://orca.cardiff.ac.uk/view/cardiffauthors/A436694M.html, Page, Nicholas https://orca.cardiff.ac.uk/view/cardiffauthors/A351144M.html orcid:0000-0002-4671-2797 orcid:0000-0002-4671-2797, Melendez-Torres, G.J., Murphy, Simon https://orca.cardiff.ac.uk/view/cardiffauthors/A024382C.html orcid:0000-0003-3589-3681 orcid:0000-0003-3589-3681, Hewitt, Gillian https://orca.cardiff.ac.uk/view/cardiffauthors/A605843C.html orcid:0000-0002-7946-4056 orcid:0000-0002-7946-4056 and Moore, Graham orcid:0000-0002-6136-3978 orcid:0000-0002-6136-3978 2021. Using latent class analysis to explore complex associations between socioeconomic status and adolescent health and wellbeing. Journal of Adolescent Health 69 (5) , pp. 774-781. 10.1016/j.jadohealth.2021.06.013 https://doi.org/10.1016/j.jadohealth.2021.06.013 file https://orca.cardiff.ac.uk/id/eprint/141954/2/1-s2.0-S1054139X21003062-main.pdf
    • الرقم المعرف:
      10.1016/j.jadohealth.2021.06.013
    • Rights:
      cc_by
    • الرقم المعرف:
      edsbas.8C9B045C