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Effects of lifestyle risk behaviour clustering on cardiovascular disease among UK adults: latent class analysis with distal outcomes
journal contributionposted on 2023-02-10, 02:50 authored by Teketo TegegneTeketo Tegegne, Shariful IslamShariful Islam, Ralph MaddisonRalph Maddison
AbstractLifestyle risk behaviours such as smoking, physical inactivity, and unhealthy diet account for a considerable disease burden globally. These risk behaviours tend to cluster within an individual, which could have detrimental health effects. In this study, we aimed to examine the clustering effect of lifestyle risk behaviours on cardiovascular disease (CVD) and CVD risk among adults in the United Kingdom (UK). We performed a latent class (LC) analysis with distal outcomes using the UK Biobank baseline (2006–2010) data. First, we estimated LC measurement models, followed by an auxiliary model conditional on LC variables. We reported continuous (mean difference—MD) and binary (odds ratio—OR) outcomes with 95% confidence intervals. We included 283,172 and 174,030 UK adults who had data on CVD and CVD risk, respectively. Multiple lifestyle risk behaviour clustering (physically inactive, poor fruit & vegetable intake, high alcohol intake, and prolonged sitting) had a 3.29 mean increase in CVD risk compared to high alcohol intake. In addition, adults with three risk behaviours (physically inactive, poor fruit & vegetable intake, and high alcohol intake) had 25.18 higher odds of having CVD than those with two risk behaviours (physically inactive, and poor fruit and vegetable intake). Social deprivation, gender and age were also associated with CVD. Individuals' LC membership with two or more lifestyle risk behaviours negatively affects CVD. Interventions targeting multiple lifestyle behaviours and social circumstances should be prioritized to reduce the CVD burden.
Article numberARTN 17349
Publication classificationC1 Refereed article in a scholarly journal
CategoriesNo categories selected
Science & TechnologyMultidisciplinary SciencesScience & Technology - Other TopicsALL-CAUSE MORTALITYSLEEP DURATIONSOCIOECONOMIC-STATUSPHYSICAL-ACTIVITYPROFILEBURDENTIMEAdultCardiovascular DiseasesCluster AnalysisHealth BehaviorHumansLatent Class AnalysisLife StyleRisk-TakingUnited KingdomPreventionHeart DiseaseCardiovascular2.3 Psychological, social and economic factors2 Aetiology3 Prevention of disease and conditions, and promotion of well-being3.1 Primary prevention interventions to modify behaviours or promote wellbeing3 Good Health and Well Being