ArticleEuropean journal of public health2021
Physical inactivity in nine European and Central Asian countries: an analysis of national population-based survey results.
Article in European journal of public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 15 citations in OpenAlex.
- Physical activity and its associated factors in frail geriatric patients: a cross-sectional study utilizing the COM-B model.BMC geriatrics · 2026Article
- Physical Activity Levels in Kazakhstan: A Cross-Sectional Nationwide Study on Demographic, Socioeconomic, and Regional Factors.Medicina (Kaunas, Lithuania) · 2025Article
- Nonlinear and threshold effects of built environment on older adults' walking duration: do age and retirement status matter?Frontiers in public health · 2024Article
- Perceived Social Support and Health-Related Quality of Life Among Hypertensive Patients: A Latent Profile Analysis and the Role of Delay Discounting and Living Alone.Risk management and healthcare policy · 2024Article
- Trajectories of 24-Hour Physical Activity Distribution and Relationship with Dyslipidemia.Nutrients · 2023Article
- High tibial osteotomy with an external fixator or unicompartmental knee arthroplasty for varus knee in young patients?Journal of orthopaedicsArticle
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Authors and funding
23 authors at 10 institutions in 11 countries.
Funding
Abstract
backgroundPhysical inactivity is a major risk factor for non-communicable diseases. However, recent and systematically obtained national-level data to guide policy responses are often lacking, especially in countries in Eastern Europe and Central Asia. This article describes physical inactivity patterns among adults in Armenia, Azerbaijan, Belarus, Georgia, Kyrgyzstan, Republic of Moldova, Tajikistan, Turkey and Uzbekistan.
methodsData were collected using the Global Physical Activity Questionnaire drawing nationally representative samples of adults in each country. The national prevalence of physical inactivity was calculated as well as the proportional contribution to total physical activity (PA) during work, transport and leisure-time. An adjusted logistic regression model was applied to analyze the association of age, gender, education, household status and income with physical inactivity.
resultsNational prevalence of physical inactivity ranged from 10.1% to 43.6%. The highest proportion of PA was registered during work or in the household in most countries, whereas the lowest was during leisure-time in all countries. Physical inactivity was more likely with older age in eight countries, with female gender in three countries, and with living alone in three countries. There was no clear pattern of association with education and income.
conclusionPrevalence of physical inactivity is heterogeneous across the region. PA during leisure-time contributes minimally to total PA in all countries. Policies and programs that increase opportunities for active travel and leisure-time PA, especially for older adults, women and people living alone will be an essential part of strategies to increase overall population PA.
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