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Are changes in depressive symptoms, general health and residential area socio-economic status associated with trajectories of waist circumference and body mass index?

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  • Theo Niyonsenga
  • Suzanne J Carroll
  • Neil T Coffee
  • Anne W Taylor
  • Mark Daniel

Abstract

Objective: This study sought to assess whether changes in depressive symptoms, general health, and area-level socio-economic status (SES) were associated to changes over time in waist circumference and body mass index (BMI). Methods: A total of 2871 adults (18 years or older), living in Adelaide (South Australia), were observed across three waves of data collection spanning ten years, with clinical measures of waist circumference, height and weight. Participants completed the Centre for Epidemiologic Studies Depression (CES-D) and Short Form 36 health questionnaires (SF-36 general health domain). An area-level SES measure, relative location factor, was derived from hedonic regression models using residential property features but blind to location. Growth curve models with latent variables were fitted to data. Results: Waist circumference, BMI and depressive symptoms increased over time. General health and relative location factor decreased. Worsening general health and depressive symptoms predicted worsening waist circumference and BMI trajectories in covariate-adjusted models. Diminishing relative location factor was negatively associated with waist circumference and BMI trajectories in unadjusted models only. Conclusions: Worsening depressive symptoms and general health predict increasing adiposity and suggest the development of unhealthful adiposity might be prevented by attention to negative changes in mental health and overall general health.

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  • Theo Niyonsenga & Suzanne J Carroll & Neil T Coffee & Anne W Taylor & Mark Daniel, 2020. "Are changes in depressive symptoms, general health and residential area socio-economic status associated with trajectories of waist circumference and body mass index?," PLOS ONE, Public Library of Science, vol. 15(1), pages 1-19, January.
  • Handle: RePEc:plo:pone00:0227029
    DOI: 10.1371/journal.pone.0227029
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    References listed on IDEAS

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    1. Lockwood, Tony & Coffee, Neil T & Rossini, Peter & Niyonsenga, Theo & McGreal, Stanley, 2018. "Does where you live influence your socio-economic status?," Land Use Policy, Elsevier, vol. 72(C), pages 152-160.
    2. Apostolos Davillas & Michaela Benzeval & Meena Kumari, 2016. "Association of Adiposity and Mental Health Functioning across the Lifespan: Findings from Understanding Society (The UK Household Longitudinal Study)," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-19, February.
    3. Sullivan, Marianne & Karlsson, Jan & Ware, John E., 1995. "The Swedish SF-36 Health Survey--I. Evaluation of data quality, scaling assumptions, reliability and construct validity across general populations in Sweden," Social Science & Medicine, Elsevier, vol. 41(10), pages 1349-1358, November.
    4. Noah Uhrig, S.C., 2008. "The nature and causes of attrition in the British Household Panel Study," ISER Working Paper Series 2008-05, Institute for Social and Economic Research.
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