Literature DB >> 29066372

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

Ai Koyanagi1, Brendon Stubbs2, Davy Vancampfort3.   

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 (≥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.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Correlates; Low- and middle-income countries; Physical activity

Mesh:

Year:  2017        PMID: 29066372     DOI: 10.1016/j.ypmed.2017.10.023

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  15 in total

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Authors:  Davy Vancampfort; Elvira Lara; Lee Smith; Simon Rosenbaum; Joseph Firth; Brendon Stubbs; Mats Hallgren; Ai Koyanagi
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2.  Effects of Mood Regulation on Sociodemographic Status, Exercise Pattern, and Physical Conditions of Chinese Adults and the Elderly.

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3.  Accelerometer-Measured Daily Step Counts and Adiposity Indicators among Latin American Adults: A Multi-Country Study.

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4.  Physical activity measured with wrist and ankle accelerometers: Age, gender, and BMI effects.

Authors:  Veronica Ramirez; Ehsan Shokri-Kojori; Elizabeth A Cabrera; Corinde E Wiers; Kathleen Merikangas; Dardo Tomasi; Gene-Jack Wang; Nora D Volkow
Journal:  PLoS One       Date:  2018-04-27       Impact factor: 3.240

5.  Changes in the configuration and patterns of physical activity among Mongolian adults, 2005-2013.

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Authors:  André O Werneck; Se-Sergio Baldew; J Jaime Miranda; Oscar Díaz Arnesto; Brendon Stubbs; Danilo R Silva
Journal:  Int J Behav Nutr Phys Act       Date:  2019-08-20       Impact factor: 6.457

7.  BRICS nations and the opportunities for community physical activity interventions.

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Journal:  J Sport Health Sci       Date:  2019-08-03       Impact factor: 7.179

8.  Trends and correlates of meeting 24-hour movement guidelines: a 15-year study among 167,577 Thai adults.

Authors:  Nucharapon Liangruenrom; Dorothea Dumuid; Melinda Craike; Stuart J H Biddle; Zeljko Pedisic
Journal:  Int J Behav Nutr Phys Act       Date:  2020-08-24       Impact factor: 6.457

9.  Diet and Physical Activity as Determinants of Lifestyle Chosen by Women from Southern Poland.

Authors:  Agnieszka Ostachowska-Gasior; Emilia Kolarzyk; Renata Majewska; Anna Gasior; Jacek Kwiatkowski; Izabela Zaleska
Journal:  Int J Environ Res Public Health       Date:  2018-09-22       Impact factor: 3.390

10.  Built environment correlates of physical activity in low- and middle-income countries: A systematic review.

Authors:  Sarah Elshahat; Michael O'Rorke; Deepti Adlakha
Journal:  PLoS One       Date:  2020-03-17       Impact factor: 3.240

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