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Assessing Quality of Life in an Obesity Observational Study: a Structural Equation Modeling Approach

Author

Listed:
  • N. Dardenne

    (University of Liège
    Université de Liège)

  • B. Pétré

    (University of Liège)

  • E. Husson

    (University of Liège)

  • M. Guillaume

    (University of Liège)

  • A. F. Donneau

    (University of Liège)

Abstract

Quality of life (QOL) of a patient is usually computed as the (weighted) sum of items and analysed by means of multiple regressions to evaluate its relationships with various measured factors. The aim of the present study was to compare results derived under classical statistical method with those obtained under more appropriate statistical techniques for QOL. Analyses were applied to data from 4155 subjects participated in 2012 in a community based sample study in the French speaking part of Belgium and which completed a web-based questionnaire on their weight-related experience. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were carried out to derive QOL and to test direct/indirect effects of body mass index (BMI), age, body image discrepancy (BID), latent socio-economic (SOCIO) and latent subjective-norm (SN). No major differences were found under both SEM and the product of coefficients approach using SAS PROCESS macro developed by Hayes. Significant direct and indirect effects on physical and psychological dimensions of QOL were found for age, BMI and SOCIO while significant direct effects were found for BID and SN (p

Suggested Citation

  • N. Dardenne & B. Pétré & E. Husson & M. Guillaume & A. F. Donneau, 2020. "Assessing Quality of Life in an Obesity Observational Study: a Structural Equation Modeling Approach," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 15(4), pages 1117-1133, September.
    • Handle: RePEc:spr:ariqol:v:15:y:2020:i:4:d:10.1007_s11482-019-09725-0
    DOI: 10.1007/s11482-019-09725-0
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    References listed on IDEAS

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