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Article

Clustering of behavioural risk factors for health in UK adults in 2016: a cross-sectional survey

Details

Citation

Birch J, Petty R, Hooper L, Bauld L, Rosenberg G & Vohra J (2019) Clustering of behavioural risk factors for health in UK adults in 2016: a cross-sectional survey. Journal of Public Health, 41 (3), pp. 226-236. https://doi.org/10.1093/pubmed/fdy144

Abstract
Background Foods high in fat, sugar and salt (HFSS) are known to contribute to overweight and obesity. In addition to overweight and obesity, smoking, alcohol consumption and physical inactivity are known risk factors for non-communicable diseases, including several cancers and cardiovascular disease. Methods Secondary analysis of UK-representative cross-sectional survey data of 3293 adults aged 18+. Regression analyses were undertaken to understand the relationship between consumption of HFSS food and soft drinks, alcohol and tobacco and socio-demographics. Clustering analysis identified groupings of health risk factors. Results Males, those aged 18–24 and those from the more deprived groups consumed ready meals and fast food most frequently. Most of the sample (77.3%) engaged in at least one health risk behaviour. Six clusters were identified in the clustering analysis. Older (65+) female respondents were more likely to be inactive. Smokers exhibiting additional risk behaviours were more likely to be of working age from more deprived groups, and men over 65 were more likely to consume harmful levels of alcohol with additional risk factors. Conclusion Policies and services in the UK tend to focus on changing behaviour to address individual risk factors. This study shows that policies and interventions need to address multiple risk factors.

Keywords
alcohol consumption; obesity; physical activity

Journal
Journal of Public Health: Volume 41, Issue 3

StatusPublished
FundersCancer Research UK
Publication date30/09/2019
Publication date online06/09/2018
Date accepted by journal26/06/2018
URL
PublisherOxford University Press (OUP)
ISSN1741-3842
eISSN1741-3850

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