Cargando…
Clustering of Six Key Risk Behaviors for Chronic Disease among Adolescent Females
Chronic diseases are the leading cause of disability and mortality globally. In Australia, females are at heightened risk. This research explored the prevalence, patterns, and correlates of six key risk behaviors (physical inactivity, poor diet, recreational screen time, inadequate sleep, alcohol us...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7579129/ https://www.ncbi.nlm.nih.gov/pubmed/33023089 http://dx.doi.org/10.3390/ijerph17197211 |
_version_ | 1783598517765275648 |
---|---|
author | Gardner, Lauren A. Champion, Katrina E. Parmenter, Belinda Grummitt, Lucinda Chapman, Cath Sunderland, Matthew Thornton, Louise McBride, Nyanda Newton, Nicola C. |
author_facet | Gardner, Lauren A. Champion, Katrina E. Parmenter, Belinda Grummitt, Lucinda Chapman, Cath Sunderland, Matthew Thornton, Louise McBride, Nyanda Newton, Nicola C. |
author_sort | Gardner, Lauren A. |
collection | PubMed |
description | Chronic diseases are the leading cause of disability and mortality globally. In Australia, females are at heightened risk. This research explored the prevalence, patterns, and correlates of six key risk behaviors (physical inactivity, poor diet, recreational screen time, inadequate sleep, alcohol use, and smoking) among adolescent females and whether knowledge of health guidelines was associated with adherence. Adolescent females completed an anonymous online questionnaire (N = 687; M(age) = 13.82). Logistic regression assessed the association between knowledge and adherence. A Latent Class Analysis (LCA) and three-step procedure identified risk behavior clusters and their correlates. Despite positive health self-ratings (77% good/very good), most participants reported insufficient moderate-to-vigorous physical activity (MVPA; 89%), vegetable intake (89%), and excessive screen time (63%). Knowledge of guidelines was associated with adherence for MVPA, vegetable intake, sleep, and alcohol abstinence. Three classes emerged: “moderate risk” (76%), “relatively active, healthy eaters” (19%), and “excessive screen users” (5%). These risk-behavior clusters were associated with perceived value of academic achievement and physical wellbeing. Adolescent females commonly perceive they are in good health, despite engaging in unhealthy behaviors. Public health interventions should utilize effective behavior change strategies, adopt a multiple health behavior change approach (MHBC), and be tailored to specific risk profiles and values among females. |
format | Online Article Text |
id | pubmed-7579129 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75791292020-10-29 Clustering of Six Key Risk Behaviors for Chronic Disease among Adolescent Females Gardner, Lauren A. Champion, Katrina E. Parmenter, Belinda Grummitt, Lucinda Chapman, Cath Sunderland, Matthew Thornton, Louise McBride, Nyanda Newton, Nicola C. Int J Environ Res Public Health Article Chronic diseases are the leading cause of disability and mortality globally. In Australia, females are at heightened risk. This research explored the prevalence, patterns, and correlates of six key risk behaviors (physical inactivity, poor diet, recreational screen time, inadequate sleep, alcohol use, and smoking) among adolescent females and whether knowledge of health guidelines was associated with adherence. Adolescent females completed an anonymous online questionnaire (N = 687; M(age) = 13.82). Logistic regression assessed the association between knowledge and adherence. A Latent Class Analysis (LCA) and three-step procedure identified risk behavior clusters and their correlates. Despite positive health self-ratings (77% good/very good), most participants reported insufficient moderate-to-vigorous physical activity (MVPA; 89%), vegetable intake (89%), and excessive screen time (63%). Knowledge of guidelines was associated with adherence for MVPA, vegetable intake, sleep, and alcohol abstinence. Three classes emerged: “moderate risk” (76%), “relatively active, healthy eaters” (19%), and “excessive screen users” (5%). These risk-behavior clusters were associated with perceived value of academic achievement and physical wellbeing. Adolescent females commonly perceive they are in good health, despite engaging in unhealthy behaviors. Public health interventions should utilize effective behavior change strategies, adopt a multiple health behavior change approach (MHBC), and be tailored to specific risk profiles and values among females. MDPI 2020-10-02 2020-10 /pmc/articles/PMC7579129/ /pubmed/33023089 http://dx.doi.org/10.3390/ijerph17197211 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Gardner, Lauren A. Champion, Katrina E. Parmenter, Belinda Grummitt, Lucinda Chapman, Cath Sunderland, Matthew Thornton, Louise McBride, Nyanda Newton, Nicola C. Clustering of Six Key Risk Behaviors for Chronic Disease among Adolescent Females |
title | Clustering of Six Key Risk Behaviors for Chronic Disease among Adolescent Females |
title_full | Clustering of Six Key Risk Behaviors for Chronic Disease among Adolescent Females |
title_fullStr | Clustering of Six Key Risk Behaviors for Chronic Disease among Adolescent Females |
title_full_unstemmed | Clustering of Six Key Risk Behaviors for Chronic Disease among Adolescent Females |
title_short | Clustering of Six Key Risk Behaviors for Chronic Disease among Adolescent Females |
title_sort | clustering of six key risk behaviors for chronic disease among adolescent females |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7579129/ https://www.ncbi.nlm.nih.gov/pubmed/33023089 http://dx.doi.org/10.3390/ijerph17197211 |
work_keys_str_mv | AT gardnerlaurena clusteringofsixkeyriskbehaviorsforchronicdiseaseamongadolescentfemales AT championkatrinae clusteringofsixkeyriskbehaviorsforchronicdiseaseamongadolescentfemales AT parmenterbelinda clusteringofsixkeyriskbehaviorsforchronicdiseaseamongadolescentfemales AT grummittlucinda clusteringofsixkeyriskbehaviorsforchronicdiseaseamongadolescentfemales AT chapmancath clusteringofsixkeyriskbehaviorsforchronicdiseaseamongadolescentfemales AT sunderlandmatthew clusteringofsixkeyriskbehaviorsforchronicdiseaseamongadolescentfemales AT thorntonlouise clusteringofsixkeyriskbehaviorsforchronicdiseaseamongadolescentfemales AT mcbridenyanda clusteringofsixkeyriskbehaviorsforchronicdiseaseamongadolescentfemales AT clusteringofsixkeyriskbehaviorsforchronicdiseaseamongadolescentfemales AT newtonnicolac clusteringofsixkeyriskbehaviorsforchronicdiseaseamongadolescentfemales |