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Journal of Advances in Sports and Physical Education (JASPE)
Volume-8 | Issue-07 | 131-136
Original Research Article
Level of Physical Activity and Potential Barriers among Women in a Tertiary Health Institution in Southwestern Nigeria
Bolarinde Samuel Olufemi, Ajayi Toluwase Martha, Subulade Abiola Tolulope, Kayode-Imoru Olutola Olutowo
Published : Aug. 12, 2025
DOI : https://doi.org/10.36348/jaspe.2025.v08i07.001
Abstract
Background: Physical activity plays a vital role in maintaining physical and mental well-being thereby reducing the risk of numerous chronic conditions and certain musculoskeletal disorders. Despite its importance, many women struggle to engage in regular physical activity due to a range of barriers. This study aimed at assessing physical activity levels and potential barriers among women working in Federal Medical Center, Owo. Materials and Method: The cross-sectional survey recruited 100 female staff who had worked for at least one year at Federal Medical Center, Owo. Ondo state, Nigeria. Data were collected using the IPAQ-Short Form and the Barriers to Being Physically Active Quiz. Ethical approval and informed consent were obtained. Data were analyzed using SPSS (version 21) with chi-square and logistic regression tests at a 0.05 significance level. Results: Most participants were aged 45-54, married, and had university-level education. 39% had low physical activity levels, 45% moderate, and 16% high. The most reported barriers were lack of time (64%), lack of energy (63%), and lack of willpower (59%). Other barriers like social influence, fear of injury, and lack of resources were less frequently cited. Chi-square analysis showed no significant association between physical activity level and socio-demographic factors or reported barriers. Logistic regression also revealed no significant predictors of activity level. Conclusion: Participation in physical activity remains low among women at in this study. Key barriers such as time, energy, and willpower were prevalent but not statistically predictive.
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