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

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Correlates of low physical activity across 46 low- and middle-income countries : A cross-sectional analysis of community-based data. / Koyanagi, Ai; Stubbs, Brendon; Vancampfort, Davy.

In: Preventive Medicine, 21.10.2017.

Research output: Contribution to journalArticle

Harvard

Koyanagi, A, Stubbs, B & Vancampfort, D 2017, 'Correlates of low physical activity across 46 low- and middle-income countries: A cross-sectional analysis of community-based data', Preventive Medicine. https://doi.org/10.1016/j.ypmed.2017.10.023

APA

Koyanagi, A., Stubbs, B., & Vancampfort, D. (2017). Correlates of low physical activity across 46 low- and middle-income countries: A cross-sectional analysis of community-based data. Preventive Medicine. https://doi.org/10.1016/j.ypmed.2017.10.023

Vancouver

Koyanagi A, Stubbs B, Vancampfort D. Correlates of low physical activity across 46 low- and middle-income countries: A cross-sectional analysis of community-based data. Preventive Medicine. 2017 Oct 21. https://doi.org/10.1016/j.ypmed.2017.10.023

Author

Koyanagi, Ai ; Stubbs, Brendon ; Vancampfort, Davy. / Correlates of low physical activity across 46 low- and middle-income countries : A cross-sectional analysis of community-based data. In: Preventive Medicine. 2017.

Bibtex Download

@article{cd7c081a7d30474cb6a3186da3fc5e69,
title = "Correlates of low physical activity across 46 low- and middle-income countries: A cross-sectional analysis of community-based data",
abstract = "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 (≥ 150 min moderate-vigorous PA per week) and do not (< 150 min = 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 38.4 years; 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.",
keywords = "Physical activity, Correlates, Low- and middle-income countries",
author = "Ai Koyanagi and Brendon Stubbs and Davy Vancampfort",
year = "2017",
month = "10",
day = "21",
doi = "10.1016/j.ypmed.2017.10.023",
language = "English",
journal = "Preventive Medicine",
issn = "0091-7435",
publisher = "ACADEMIC PRESS INC",

}

RIS (suitable for import to EndNote) Download

TY - JOUR

T1 - Correlates of low physical activity across 46 low- and middle-income countries

T2 - A cross-sectional analysis of community-based data

AU - Koyanagi, Ai

AU - Stubbs, Brendon

AU - Vancampfort, Davy

PY - 2017/10/21

Y1 - 2017/10/21

N2 - 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 (≥ 150 min moderate-vigorous PA per week) and do not (< 150 min = 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 38.4 years; 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.

AB - 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 (≥ 150 min moderate-vigorous PA per week) and do not (< 150 min = 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 38.4 years; 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.

KW - Physical activity

KW - Correlates

KW - Low- and middle-income countries

U2 - 10.1016/j.ypmed.2017.10.023

DO - 10.1016/j.ypmed.2017.10.023

M3 - Article

JO - Preventive Medicine

JF - Preventive Medicine

SN - 0091-7435

ER -

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