Prevalence and associated factors of physical inactivity among adults in Northwest Ethiopia

A multicenter study

Dados Bibliográficos

ID22067022
AutoresZelalem Tilahun Muche (0000-0002-6563-9302, Debre Tabor University, autor correspondente), Awgichew Behaile Teklemariam (0000-0002-3878-8812, Debre Tabor University), Endeshaw Chekol Abebe (0000-0002-5035-6633, University of South Australia), Melaku Mekonnen Agidew (0000-0002-8565-0920, Debre Tabor University), Tekile Mengie Ayele (Debre Tabor University), Edgeit Abebe Zewde (0000-0002-8059-3576, Debre Tabor University), Anemut Tilahun Mulu (0000-0003-0496-6884), Anemut Tilahun (0000-0002-7793-2768, Debre Tabor University), Gebrehiwot Ayalew Tiruneh (0000-0002-2101-1775, Debre Tabor University), Demewoz Kefale (0000-0002-7653-7459, Debre Tabor University), Deribew Abebaw Abuhay (0000-0002-4982-2350, Debre Tabor University), Milkessa Bayissa Midekssa (Haramaya University), Nega Dagnew Baye (0000-0003-1849-2616, University of Gondar)
Ano2025
Volume13
Páginas1513600-1513600
Data de publicação2025-05-16
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoFrontiers in Public Health (JOURNAL)
Identificadores do periódicoISSN: 2296-2565 • E-ISSN: 2296-2565
EditoraFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2025.1513600
PMID40453504
OpenAlexW4410392940
IdiomaEN
Citações recebidas1
Referências citadas33

Background: Physical inactivity (PI) increases the risk of cardiovascular diseases, cancer, diabetes, cognitive impairment, poor sleep, poor bone health, obesity, economic crises, and premature mortality. Globally, 31% of adults are physically inactive, indicating that this is the major public health issue of this century. Physical inactivity prevalence varies among countries, regions, and cities. In addition, data were scarce in the study area. Objective: This study identified the prevalence and determinants of PI among adults in Northwest Ethiopia. Method: A community-based cross-sectional study was conducted from February to March 2024. Participants were recruited via multistage sampling, and the data were collected via WHO stepwise standard questionnaires. Binary and multivariable logistic regressions were used to identify the predictors of physical inactivity. Results: This study involved 592 participants, with a mean age of 36.2 ± 12.6 years, 56.4% of whom were males. Nearly three-fourths (71.5%) of the respondents had no awareness of physical activity guidelines. The prevalence of PI was 46.1%. Increasing age, being female, being a government or nongovernment employee, having a high level of education, having a high family monthly income, currently smoking, chewing khat, drinking alcohol, being overweight or obese, unawareness of physical activity guidelines, and lacking a plan to do physical activity were associated with PI. Conclusion: 46.1% of adults were physically inactive, highlighting a significant public health concern. Thus, we emphasize improving physical activity by promoting its health benefits, raising awareness about the guidelines, and encouraging adults to have a plan to do physical activity

Cross-sectional study · Environmental health · Logistic regression · Obesity · Overweight · Public health · Cardiovascular and exercise physiology · Medicine · Obesity, Physical Activity, Diet · Physical Activity and Health · Gerontology