Evidence map›Paper›PMID 40756191›Full record

ArticleJournal of preventive medicine and hygiene2025

Population-based cross-sectional study of the correlation of physical inactivity and sedentary behaviour with sociodemographic factors among Bangladeshi adults.

Mohammad Jobair Khan, Priya Kannan, Balasankar Ganesan, Sufia Khatun, Mohammed Usman Ali, S M Mahmudul Hasan, Stanley John Winser

Abstract read
In one paragraph

Article in Journal of preventive medicine and hygiene, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Mohammad Jobair KhanBDStatistics Center for Research, Dhaka, Bangladesh.
Priya KannanRehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong (SAR), China.
Balasankar GanesanSchool of American Education, Melbourne, Australia.
Sufia KhatunBDStatistics Center for Research, Dhaka, Bangladesh.
Mohammed Usman AliNethersole School of Nursing, Chinese University of Hong Kong, Hong Kong (SAR), China.
S M Mahmudul HasanDepartment of Biomedical Engineering and Public Health, World University of Bangladesh, Dhaka, Bangladesh.
Stanley John WinserRehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong (SAR), China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Physical inactivity and sedentary behaviour are influenced by various interconnected variables. In Bangladesh, studies on physical inactivity and sedentary behaviour are scarce, regardless of age in the adult population. This study aims to determine the correlates of adults' physical inactivity and sedentary behaviour with sociodemographic factors, including gender, age, residential, educational, and occupational status. Methods: This is a secondary analysis of a cross-sectional survey conducted from February to May 2018 across eight divisions of Bangladesh. Global Physical Activity Questionnaire was used to measure physical inactivity and sedentary behaviour. The data consisted of 8,185 adults aged 18 to 69 years. The Bayesian regression model was used to analyse the correlates. Results: Physical inactivity, including work, active transport, and recreation, males and urban residents were more likely to be inactive than their female counterparts and rural residents. Married adults had greater (Odd Ratio [OR]: 6.6, 95% CI: 5.46 to 7.98) recreation-related physical inactivity. Unemployed adults were more likely to engage in sedentary behaviour (OR: 4, 95% CI: 2.48 to 6.12) and less likely to engage in moderate physical activity (OR: 2.2, 95% CI: 1.43 to 3.39). Conclusions: A notable pattern of insufficient recreational physical activity among adults in Bangladesh was noted. Establishing nationwide surveillance systems to detect physical activity and sedentary behaviour trends to evaluate potential interventions for improving physical activity and reducing sedentary behaviour. Expanding school-based physical activity programs help children and adolescents learn lifelong healthy behaviours. Community sports programs for all ages promote active living.

Indexed as

ExerciseSedentary BehaviorAdolescentAdultAgedBangladeshCross-Sectional StudiesFemaleHumansMaleMiddle AgedRural PopulationSociodemographic FactorsSocioeconomic FactorsSurveys and QuestionnairesYoung AdultBangladeshBayesian regression modelGPAQPhysical activitySedentary behaviour

Identifiers

PMID40756191
PMCPMC12312725

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.