Clusters of local health behaviours
PHE ePoster Library. Korner K. Sep 13, 2016; 137958; 183
Katherine Korner
Katherine Korner
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Abstract
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Abstract Introduction: Hackney is a diverse London borough with a high level of deprivation and a young age distribution. In this poster, we examine how health behaviours are clustered in Hackney's population and how we can use this to target interventions effectively.Methods: We commissioned Ipsos Mori to conduct a cross-sectional telephone survey of 1,000 adult residents focusing on physical activity, diet, smoking, and alcohol consumption. We used hierarchical cluster analysis to group respondents by their self-reported health behaviours. We then analysed the resulting clusters by demographic and socioeconomic characteristics. Analysis was conducted in IBM SPSS Statistics 21.Results: We found five clusters of health behaviours. Of particular local relevance, we found that Hackney residents who have largely positive health behaviours but do not eat enough fruit and vegetables are more likely to be young and Black or Asian. We confirmed that disability is a strong contributor to health inequalities on a local level, and also that Hackney follows the national trend in that high risk drinkers with otherwise largely positive health behaviours are more likely to be middle-aged, employed, White and male.Conclusion: Local analysis of clusters of health behaviours is important as it allows us to pinpoint how demographic and socioeconomic factors are linked to health behaviours within the local health environment. This will inform the design of targeted multi-component interventions, tailored to the needs of our population, to help address local health inequalities.
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