Clusters of health behaviours in Queensland adults are associated with different socio-demographic characteristics.
Background The co-occurrence of unhealthy lifestyles, calls for interventions that target multiple health behaviours. This study investigates the clustering of health behaviours and examines demographic differences between each cluster. Methods In total, 934 adults from Queensland, Australia complet...
| Publicado en: | Journal of Public Health Vol. 41; no. 2; pp. 268 - 278 |
|---|---|
| Autores principales: | , , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
Jun2019
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=137647928&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 137647928 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 17413842 1CA0 jtl: Journal of Public Health issn: 17413842 maglogo: N pubinfo: dt: Jun2019 vid: 41 iid: 2 pid: 622 pub: Oxford University Press / USA artinfo: ui: 137647928 137647928 137647928 10.1093/pubmed/fdy043 137647928 ppf: 268 ppct: 10 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Clusters of health behaviours in Queensland adults are associated with different socio-demographic characteristics. aug: au: Hobbs, M Duncan, M J Collins, P Mckenna, J Schoeppe, S Rebar, A L Alley, S Short, C Vandelanotte, C affil: School of Social and Health Sciences, Leeds Trinity University, Leeds, UK sug: subj: Health Behavior Evaluation Sedentary Behavior Cluster Analysis Socioeconomic Factors Demography Physical Activity Evaluation Diet Evaluation Human Queensland Cross Sectional Studies Univariate Statistics Chi Square Test Health Status Factor Analysis Public Health Telephone Interviews Data Analysis, Statistical Descriptive Statistics Male Female Adolescence Adult Middle Age Aged Aged, 80 and Over Funding Source Adolescent: 13-18 years Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Male Female ab: Background The co-occurrence of unhealthy lifestyles, calls for interventions that target multiple health behaviours. This study investigates the clustering of health behaviours and examines demographic differences between each cluster. Methods In total, 934 adults from Queensland, Australia completed a cross-sectional survey assessing multiple health behaviours. A two-step hierarchical cluster analysis using multiple iterations identified the optimal number of clusters and the subset of distinguishing health behaviour variables. Univariate analyses of variance and chi-squared tests assessed difference in health behaviours by socio-demographic factors and clusters. Results Three clusters were identified: the 'lower risk' cluster (n = 436) reported the healthiest profile and met all public health guidelines. The 'elevated risk' cluster (n = 105) reported a range of unhealthy behaviours such as excessive alcohol consumption, sitting time, fast-food consumption, smoking, inactivity and a lack of fruit and vegetables. The 'moderate risk behaviour' cluster (n = 393) demonstrated some unhealthy behaviours with low physical activity levels and poor dietary outcomes. The 'elevated risk' cluster were significantly younger and more socio-economically disadvantaged than both the 'lower and moderate risk' clusters. Discussion Younger people who live in more deprived areas were largely within the 'elevated risk' cluster and represent an important population for MHBC interventions given their wide range of unhealthy behaviours. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|