Abstract

ObjectiveThis 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).MethodsA 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.ResultsWaist 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.ConclusionsWorsening 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.

Highlights

  • Individual-level sociodemographic characteristics, including socio-economic status (SES), are robustly linked to abdominal adiposity and overweight/obesity

  • body mass index (BMI) and depressive symptoms increased over time

  • Diminishing relative location factor was negatively associated with waist circumference and BMI trajectories in unadjusted models only

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Summary

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). Data Availability Statement: The ethics approvals granted for this research do not include consent for the sharing of the datasets supporting the conclusions of this article. The spatial nature of the data provides a risk to participant identifiability and confidentiality. The provider of data from the longitudinal cohort, a branch of the state government, has not agreed to these data being made publicly available. Datasets generated and/or analysed during the current study are not publicly available because they are subject

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