ArticleCanadian journal of public health = Revue canadienne de sante publique2017
Region-level obesity projections and an examination of its correlates in Quebec.
Article in Canadian journal of public health = Revue canadienne de sante publique, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Associations of Socioeconomic Status and Physical Activity With Obesity Measures in Rural Chinese Adults.Frontiers in public health · 2020Trial
- Targeting the spatial context of obesity determinants via multiscale geographically weighted regression.International journal of health geographics · 2020Article
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Authors and funding
2 authors.
Funding
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Abstract
objectivesRegional public health policy-makers frequently adopt obesity programs and objectives that have been established at global, provincial/state or national levels. However, the presence of substantial inter-regional disparities could render this practice inefficient. Studies that collectively assess obesity prevalence, temporal trends and their heterogeneity at the region level are rare, though they could be used to support better regional surveillance and planning. To address this gap, our study projected obesity prevalence time series to 2023 for 16 health regions in Quebec. We also compared the extent to which yearly rates of increase (or slope) versus cross-sectional prevalence drove regional heterogeneity and correlated with obesity-related sociodemographic and behavioural characteristics.
methodsProjections were done using weighted compositional regression to fit and extrapolate obesity prevalence time series (1987-2012). Heterogeneity in obesity prevalence as a function of time and obesity slope were characterized using standard deviation. The correlation of region-level obesity prevalence and slope with 14 area-level obesity-related characteristics was assessed.
resultsObesity prevalence is projected to increase in all regions. Region-level heterogeneity in prevalence in 2012 (σ = 2.2%) is projected to increase to (σ = 3.1%) by 2023. The increase in prevalence heterogeneity appeared to be driven by region-level heterogeneity in slope (β = 0.22%-0.51%/year). Obesity-related characteristics were found to be more strongly correlated with slope than with prevalence.
conclusionLarge area obesity trends mask substantial and increasing region-level disparities. Obesity slope appears to drive region-level heterogeneity and correlate strongly with explanatory factors, and may represent a pertinent metric for public health monitoring.
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