Evidence map›Paper›PMID 39668929›Full record

ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine

Physical Inactivity and its Sociodemographic Determinants among Adults: A Community-Based Study.

Jalaluddin, Tabassum Nawab, Najam Khalique, Anees Ahmad

Abstract read
In one paragraph

Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers 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

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

JalaluddinDepartment of Community Medicine, Jawaharlal Nehru Medical College, Aligarh Muslim University, Aligarh, Uttar Pradesh, India.
Tabassum NawabDepartment of Community Medicine, Jawaharlal Nehru Medical College, Aligarh Muslim University, Aligarh, Uttar Pradesh, India.
Najam KhaliqueDepartment of Community Medicine, Jawaharlal Nehru Medical College, Aligarh Muslim University, Aligarh, Uttar Pradesh, India.
Anees AhmadDepartment of Community Medicine, Jawaharlal Nehru Medical College, Aligarh Muslim University, Aligarh, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Physical inactivity (PI) is the fourth leading risk factor for global mortality and is potentially modifiable. Understanding its sociodemographic correlates can contribute in planning preventive measures to reduce the same. Aims and Objectives: 1) To estimate the prevalence of PI among adults aged 20-60 years and 2) to identify the sociodemographic determinants of PI among adults. Material and Methods: A community-based cross-sectional study was done in district Aligarh, Uttar Pradesh. 304 adults aged 20-60 years, giving informed consent were selected by simple random sampling. Pregnant women and those with febrile disease and physical defect were excluded. Predesigned structured proforma and Global Physical Activity Questionnaire were used. Chi-square test and logistic regression analysis were applied using IBM SPSS 23.0. Results: Prevalence of PI was 47.7% (95% CI: 42.0-52.6). It was significantly higher in urban (55.3% vs 41.1%) than in rural area and among females than in males (68.7% vs 34.9%). PI during work was 74.3%, during travel 78.9%, and during recreation 88.5%. Being female increased odds of PI by almost ten times (adjusted odds atio (AOR) =9.7, 95% CI: 1.6-58.5). Unskilled workers/laborers and farmers (those involved in active occupational work) were found to have lesser odds of PI (AOR = 0.2, 95% CI: 0.1-0.5 and AOR = 0.2, 95% CI: 0.01-0.6, respectively). Conclusion: PI is highly prevalent among adults. Targeted interventions to increase physical activity in recreational domain are recommended, specially in urban areas and among women. Further studies to explore barriers to physical activity are needed to address this problem.

Indexed as

Cross-sectional studydomainphysical inactivityrisk factors

Identifiers

PMID39668929
PMCPMC11633262

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LicenceCC BY-NC-SA
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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 OpenQuestion graph.