Correlates of low physical activity across 46 low- and middle-income countries: A cross-sectional analysis of community-based data.

Physical inactivity accounts for 5.5% of all avoidable global deaths. However, a paucity of multinational studies, particularly in low- and middle-income countries (LMICs), has investigated correlates of physical activity (PA). Thus, we assessed the correlates of PA using cross-sectional, community-...

Descripción completa

Detalles Bibliográficos
Autores: Koyanagi A, Stubbs B, Vancampfort D
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:España
Institución:Fundació Sant Joan de Déu
Repositorio:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
OAI Identifier:oai:fsjd.fundanetsuite.com:p13124
Acceso en línea:https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=13124
Access Level:acceso abierto
Palabra clave:*Correlates
*Low- and middle-income countries
*Physical activity
id ES_d42b9b47b9cfcee2a7e2c8b9dddc483a
oai_identifier_str oai:fsjd.fundanetsuite.com:p13124
network_acronym_str ES
network_name_str España
repository_id_str
spelling Correlates of low physical activity across 46 low- and middle-income countries: A cross-sectional analysis of community-based data.Koyanagi AStubbs BVancampfort D*Correlates*Low- and middle-income countries*Physical activityPhysical inactivity accounts for 5.5% of all avoidable global deaths. However, a paucity of multinational studies, particularly in low- and middle-income countries (LMICs), has investigated correlates of physical activity (PA). Thus, we assessed the correlates of PA using cross-sectional, community-based data of the World Health Survey including 46 LMICs. PA was assessed by the International Physical Activity Questionnaire (IPAQ) and participants were dichotomized into those who do (=150min moderate-vigorous PA per week) and do not (<150min=low PA) comply with the World Health Organization (WHO) PA recommendations. Multivariable logistic regression was used to assess the PA correlates. The prevalence of low PA in 206,356 persons (mean age 38.4years; 49.6% males) was 29.2% (95%CI=28.3%-30.0%). In the overall sample, female sex, not married/cohabiting, high education and wealth, unemployment, and urban setting were significant sociodemographic correlates of low PA. In terms of other correlates, inadequate fruit and vegetable intake, subsyndromal depression, worse sleep/energy and cognition, visual impairment, hearing problems and asthma were associated with not meeting the WHO recommendations. There were some variations in the correlates depending on age and sex. Interventions should be developed that operate at multiple levels of influence and take into account age- and gender-related PA patterns in order to assist people in LMICs to comply with the WHO PA recommendations. Researchers, funding bodies, practitioners and policymakers in education, mental and physical health, and urban planning have a critical role to play.ACADEMIC PRESS INC ELSEVIER SCIENCE2018info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=13124Preventive MedicineISSN: 00917435ISSNe: 10960260reponame:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déuinstname:Fundació Sant Joan de DéuInglésinfo:eu-repo/semantics/openAccessoai:fsjd.fundanetsuite.com:p131242026-05-27T12:37:41Z
dc.title.none.fl_str_mv Correlates of low physical activity across 46 low- and middle-income countries: A cross-sectional analysis of community-based data.
title Correlates of low physical activity across 46 low- and middle-income countries: A cross-sectional analysis of community-based data.
spellingShingle Correlates of low physical activity across 46 low- and middle-income countries: A cross-sectional analysis of community-based data.
Koyanagi A
*Correlates
*Low- and middle-income countries
*Physical activity
title_short Correlates of low physical activity across 46 low- and middle-income countries: A cross-sectional analysis of community-based data.
title_full Correlates of low physical activity across 46 low- and middle-income countries: A cross-sectional analysis of community-based data.
title_fullStr Correlates of low physical activity across 46 low- and middle-income countries: A cross-sectional analysis of community-based data.
title_full_unstemmed Correlates of low physical activity across 46 low- and middle-income countries: A cross-sectional analysis of community-based data.
title_sort Correlates of low physical activity across 46 low- and middle-income countries: A cross-sectional analysis of community-based data.
dc.creator.none.fl_str_mv Koyanagi A
Stubbs B
Vancampfort D
author Koyanagi A
author_facet Koyanagi A
Stubbs B
Vancampfort D
author_role author
author2 Stubbs B
Vancampfort D
author2_role author
author
dc.subject.none.fl_str_mv *Correlates
*Low- and middle-income countries
*Physical activity
topic *Correlates
*Low- and middle-income countries
*Physical activity
description Physical inactivity accounts for 5.5% of all avoidable global deaths. However, a paucity of multinational studies, particularly in low- and middle-income countries (LMICs), has investigated correlates of physical activity (PA). Thus, we assessed the correlates of PA using cross-sectional, community-based data of the World Health Survey including 46 LMICs. PA was assessed by the International Physical Activity Questionnaire (IPAQ) and participants were dichotomized into those who do (=150min moderate-vigorous PA per week) and do not (<150min=low PA) comply with the World Health Organization (WHO) PA recommendations. Multivariable logistic regression was used to assess the PA correlates. The prevalence of low PA in 206,356 persons (mean age 38.4years; 49.6% males) was 29.2% (95%CI=28.3%-30.0%). In the overall sample, female sex, not married/cohabiting, high education and wealth, unemployment, and urban setting were significant sociodemographic correlates of low PA. In terms of other correlates, inadequate fruit and vegetable intake, subsyndromal depression, worse sleep/energy and cognition, visual impairment, hearing problems and asthma were associated with not meeting the WHO recommendations. There were some variations in the correlates depending on age and sex. Interventions should be developed that operate at multiple levels of influence and take into account age- and gender-related PA patterns in order to assist people in LMICs to comply with the WHO PA recommendations. Researchers, funding bodies, practitioners and policymakers in education, mental and physical health, and urban planning have a critical role to play.
publishDate 2018
dc.date.none.fl_str_mv 2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=13124
url https://fsjd.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=13124
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv ACADEMIC PRESS INC ELSEVIER SCIENCE
publisher.none.fl_str_mv ACADEMIC PRESS INC ELSEVIER SCIENCE
dc.source.none.fl_str_mv Preventive Medicine
ISSN: 00917435
ISSNe: 10960260
reponame:r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
instname:Fundació Sant Joan de Déu
instname_str Fundació Sant Joan de Déu
reponame_str r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
collection r-FSJD. Repositorio Institucional de Producción Científica de la Fundació Sant Joan de Déu
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869420523355635712
score 15,81155

Similares en LA Referencia