Evidence map›Paper›PMID 41953091›Full record

ArticleAdvances in global health2025

Prevalence and determinants of physical activity behavior in a peri-urban population in Nepal: A secondary analysis of the Dhulikhel Heart Study.

Neha Balapal, Margaret Chi, Dinesh Timalsena, Lindy Reynolds, Niroj Bhandari, Archana Shrestha

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Article in Advances in global health, 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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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Neha BalapalCity University of New York School of Medicine, New York, NY, USA.
Margaret ChiUniversity of Washington, Seattle, WA, USA.
Dinesh TimalsenaKathmandu University School of Medical Sciences/Dhulikhel Hospital, Dhulikhel, Nepal.
Lindy ReynoldsUniversity of Alabama at Birmingham, Birmingham, AL, USA.
Niroj BhandariKathmandu University School of Medical Sciences/Dhulikhel Hospital, Dhulikhel, Nepal.
Archana ShresthaKathmandu University School of Medical Sciences/Dhulikhel Hospital, Dhulikhel, Nepal.

Funding

NPGH LEADERs YR12: OBSSR (Greenberg, Ngwafong Mukere) & NIBIB (Lee)D43TW009345 · FIC · UNIVERSITY OF WASHINGTON · PI Dibyadyuti Datta, Chandy C. John · 2017 to 2026
$15.2M
FIC NIH HHS D43 TW009345
6 · The paper itself

Abstract

Physical inactivity is a well-known modifiable risk factor for the prevention and treatment of leading noncommunicable diseases. Secondary data analysis was performed using cross-sectional self-reported 2014 and 2023 data from the Dhulikhel Heart Study which assesses cardiovascular disease risk factors and outcomes in a peri-urban population of Nepal. Physical activity questions in the Dhulikhel Heart Study were assessed using the Global Physical Activity Questionnaire. Our analysis found that 82% of the study sample met the World Health Organization requirements for adequate physical activity and the average daily sedentary behavior was 34 min/day. However, there were high self-reported occupational physical activity and low leisure time physical activity rates among all demographic groups. However, there were high self-reported occupational physical activity and low leisure time physical activity rates among all demographic groups. The multivariable analysis found that age (OR = 1.26, 95% CI = 1.13-1.41), unemployment (OR = 2.22, 95% CI = 1.55-3.16), anxiety (OR = 3.33, 95% CI = 1.24-4.26), depression (OR = 1.71, 95% CI = 1.09-2.63), and comorbidity (OR = 2.62, 95% CI = 1.55-3.29) were all significantly associated with lower physical activity. Lack of formal education (OR = 0.51, 95% CI = 0.30-0.87), alcohol consumption (OR = 0.56, 95% CI = 0.33-0.97), central obesity (OR = 0.58, 95% CI = 0.36-0.92), and moderate and high perceived stress (OR = 0.19, 95% CI = 0.12-0.29) were significantly associated with medium and high physical activity. Therefore, the total self-reported physical activity in our study population is high, but still lower than findings from the national representative 2019 WHO STEPwise approach to surveillance Survey. Low leisure time physical activity is also a concern in our population, a finding consistent with other studies in South Asia. Future studies should examine factors related to leisure time physical activity and the effect of physical activity interventions on overall health in peri-urban populations in Nepal.

Indexed as

Cardiovascular diseaseLeisure time physical activityPhysical activitySedentary behavior

Identifiers

PMID41953091
PMCPMC13056369

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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 OpenQuestion graph.