Suhag, A., Holmes, J. orcid.org/0000-0001-9283-2151 and Webb, T. orcid.org/0000-0001-9320-0068 (2023) Longitudinal clustering of health behaviours and their association with health outcomes in older adults in England: a latent class analysis. In: Patelarou, E., (ed.) Population Medicine. 17th World Congress on Public Health, 02-06 May 2023, Rome, Italy. E.U. European Publishing , p. 54.
Abstract
Background: Leading risk factors for chronic disease – smoking, alcohol consumption, poor nutrition and physical inactivity (SNAP behaviours) – cluster together (i.e., appear in specific combinations in distinct subgroups). Longitudinal clustering and its association with health outcomes are less well understood.
Objective: This is the first study to identify longitudinal clusters of SNAP behaviours and to relate them to health outcomes in older adults.
Methods: Using data from Waves 4-8 of the English Longitudinal Study of Ageing (n=3787), we identified longitudinal clusters of SNAP behaviours using latent class analysis. Health outcomes (from Wave 9) included multimorbidity and complex multimorbidity, along with eight body system disorders defined according to the International Classification of Diseases 10th Revision system. To examine how clusters are associated with socio-demographic characteristics and health outcomes, we used multinomial and binomial logistic regressions, respectively.
Results: Six clusters with stable within-cluster behaviour trajectories were identified: Low-risk (20.9%), Low-risk but heavy drinkers (11.1%), Low-risk but inactive (22.2%), Do nothing (17.2%), Inactive, heavy drinkers (18.1%), and Highrisk smokers (10.5%). Health-risk dominant clusters had lower levels of education and wealth. Women dominated the Low-risk but inactive cluster, whereas men dominated the heavy drinking clusters. Low-risk and Low-risk but heavy drinkers had a lower prevalence of all adverse health outcomes compared to other clusters. In contrast, the Low-risk but inactive cluster had the most ‘negative’ outcomes: highest prevalence of multimorbidity, complex multimorbidity, circulatory disorders, and endocrine, nutritional and metabolic disorders. High-risk smokers were most likely to suffer respiratory disorders, while the least physically active clusters were most likely to suffer endocrine, nutritional, and metabolic problems.
Conclusions: Health behaviour clusters were strongly but differentially associated with health outcomes, suggesting a complex relationship. Identified clusters can be compared with similar analyses in other countries and used to tailor interventions to specific sub-populations and socio-demographic profiles.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © 2023 The authors. Open Access, Creative Commons License (CC BY-NC 4.0) - https://creativecommons.org/licenses/by-nc/4.0/ |
Keywords: | Biomedical and Clinical Sciences; Public Health; Health Sciences; Aging; Substance Misuse; Alcoholism, Alcohol Use and Health; Nutrition; Primary prevention interventions to modify behaviours or promote wellbeing; Psychological, social and economic factors; Cardiovascular; Oral and gastrointestinal; Generic health relevance; Good Health and Well Being |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Science (Sheffield) > Department of Psychology (Sheffield) The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 17 Dec 2024 09:09 |
Last Modified: | 17 Dec 2024 09:10 |
Status: | Published |
Publisher: | E.U. European Publishing |
Refereed: | Yes |
Identification Number: | 10.18332/popmed/163881 |
Related URLs: | |
Sustainable Development Goals: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:220218 |