OBJECTIVE: To examine the prevalence and clustering of six health risk behaviours (smoking, alcohol, inadequate sun protection, physical inactivity, and inadequate fruit and vegetable consumption) among severely disadvantaged individuals. METHODS: A cross-sectional touch screen computer survey was conducted with 383 clients attending a social and community welfare organisation in New South Wales. Participants were assessed on smoking status, alcohol consumption, fruit and vegetable consumption, physical activity, sun protection and socio-demographic characteristics. Descriptive statistics, factor analysis and logistic regression were used to assess the prevalence, clustering and socio-demographic predictors of health risk behaviours. RESULTS: Ninety-eight per cent of the participants reported inadequate vegetable consumption, 62.7% reported inadequate fruit consumption, 82.5% reported inadequate sun protection, 61.7% smoked tobacco, 51.4% consumed alcohol at risky levels and 36.5% were insufficiently active. Most participants (87%) reported three or more risk behaviours. Male participants, younger participants and those with lower education were more likely to smoke tobacco and consume alcohol. CONCLUSIONS: The prevalence of health risk behaviours among a sample of typically hard-to-reach, severely disadvantaged individuals is extremely high. IMPLICATIONS: Future intervention development should take into account the likelihood of health risk clustering among severely disadvantaged groups.
OBJECTIVE: To examine the prevalence and clustering of six health risk behaviours (smoking, alcohol, inadequate sun protection, physical inactivity, and inadequate fruit and vegetable consumption) among severely disadvantaged individuals. METHODS: A cross-sectional touch screen computer survey was conducted with 383 clients attending a social and community welfare organisation in New South Wales. Participants were assessed on smoking status, alcohol consumption, fruit and vegetable consumption, physical activity, sun protection and socio-demographic characteristics. Descriptive statistics, factor analysis and logistic regression were used to assess the prevalence, clustering and socio-demographic predictors of health risk behaviours. RESULTS: Ninety-eight per cent of the participants reported inadequate vegetable consumption, 62.7% reported inadequate fruit consumption, 82.5% reported inadequate sun protection, 61.7% smoked tobacco, 51.4% consumed alcohol at risky levels and 36.5% were insufficiently active. Most participants (87%) reported three or more risk behaviours. Male participants, younger participants and those with lower education were more likely to smoke tobacco and consume alcohol. CONCLUSIONS: The prevalence of health risk behaviours among a sample of typically hard-to-reach, severely disadvantaged individuals is extremely high. IMPLICATIONS: Future intervention development should take into account the likelihood of health risk clustering among severely disadvantaged groups.
Authors: Natasha E Noble; Christine L Paul; Nicole Turner; Stephen V Blunden; Christopher Oldmeadow; Heidi E Turon Journal: BMC Public Health Date: 2015-07-15 Impact factor: 3.295
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Authors: María José Aburto; Dayna Romero; Leandro F M Rezende; Zila M Sanchez; Cristian Cofre Bolados; Juan Guzmán-Habinger; Mario Rios; Mónica Suárez-Reyes; Adilson Marques; Clemens Drenowatz; Carlos Cristi-Montero; Gerson Ferrari Journal: Sci Rep Date: 2021-11-04 Impact factor: 4.379