The Relationship Between Physical Activity and Health Status Among Senior University Students in Sichuan, China
Abstract
Background and Aim: Physical activity plays a crucial role in maintaining overall health by reducing the risk of chronic diseases like heart disease, diabetes, and obesity. Regular exercise also improves mental well-being, boosts immunity, and enhances overall quality of life. This study examines the relationship between physical activity levels and health status among older adults attending a senior university in Mianyang, Sichuan Province, China. With China's aging population increasing, understanding the impact of physical activity on health is crucial for improving the quality of life among the elderly.
Materials and Methods: A cross-sectional study was conducted on 282 participants aged 60 and above, using stratified random sampling. Data were collected via a structured questionnaire covering demographics, physical activity levels, and health status. Validity (0.85) and reliability (0.88) were ensured. Statistical analysis included descriptive statistics, multiple regression, and Pearson correlation.
Results: Most participants were male (46.81%), aged 61-70 years (46.81%), married (46.10%), and had primary education (73.76%). Moderate-to-high levels of physical activity significantly improved physical, mental, social, and spiritual health. A positive correlation was found among different health dimensions, highlighting the interrelated nature of health.
Conclusion: This study examines the relationship between physical activity levels and health outcomes in older adults. The results show that moderate and vigorous physical activity has a significant positive impact on physical, mental, social, and psychological health. Specifically, compared to inactive participants, those engaging in moderate or vigorous physical activity experience significant reductions in physical frailty, psychological decline, and social health deterioration. Ordered multinomial logistic regression analysis reveals that both vigorous physical activity (PhyA=1) and moderate physical activity (PhyA=2) have negative regression coefficients for all health statuses with significant p-values, indicating a positive effect on health outcomes. In terms of correlations, physical health, mental health, social health, and psychological health are significantly positively correlated, with correlation coefficients of 0.657 between physical and mental health, 0.606 between physical and social health, and 0.588 between physical and psychological health. However, these correlations vary by activity level. At inactive levels, no significant correlations were found between health statuses. At moderate intensity levels, a significant positive correlation between mental and social health was observed, while at vigorous activity levels, no significant correlations between health statuses were found. Additionally, the study examines how various factors such as gender, age, marital status, education, occupation, income, BMI, caregiver status, and participation in senior clubs relate to physical activity levels. The results show that retirees (59.93%) engage more in vigorous physical activity, while farmers (a higher proportion) participate more in moderate-intensity physical activity.
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References
American College of Sports Medicine. (2011). Position Stand on the recommended quantity and quality of exercise for developing and maintaining cardiorespiratory and muscular fitness, and flexibility in healthy adults. Medicine & Science in Sports & Exercise. https://doi.org/10.1249/MSS.0b013e318213fefb
Arab, A., Christie, G. J., & Moreno, S. (2021). Moderate-intensity physical activity, music, and art activities preserved cognitive health in older adults: An argument for a social prescribing solution. Frontiers in Aging. https://doi.org/10.3389/fnagi.2021.693791
Arazi, H., Izadi, M., Kabirian, H., & Kabirian, S. (2022). Interactive effect of socio-eco-demographic characteristics and perceived physical activity barriers on physical activity level among older adults. European Review of Aging and Physical Activity, 9(1). https://doi.org/10.1186/s11556-022-00288-y
Burton, N., Turrell, G., & Sallis, J. (2005). The relative contributions of psychological, social, and environmental variables to explain participation in walking, moderate-, and vigorous-intensity leisure-time physical activity. Journal of Physical Activity and Health. https://doi.org/10.1123/JPAH.2.2.181
Central Committee of the Communist Party of China & State Council. (2016). "Healthy China 2030" Planning Outline. Retrieved from https://www.gov.cn/zhengce/2016-10/25/content_5124174.html
Chen, S., Yu, Y., Zhang, Y., Yu, J., & Li, Z. (2022). Research on the current situation and influencing factors of social activities of chronic diseases elderly in China. Journal of Mudanjiang Medical University, 43(4), 162-166.
Dupré, C., Brégère, M., Berger, M., Pichot, V., Celle, S., Garet, M., Fundenberger, H., Barth, N., Guyot, J., Bongue, B., Barthélémy, J.-C., Roche, F., & Hupin, D. (2023). Relationship between moderate-to-vigorous, light intensity physical activity and sedentary behavior in a prospective cohort of older French adults: an 18-year follow-up of mortality and cardiovascular events ─ the PROOF cohort study. Frontiers in Public Health, 11(1182552). https://doi.org/10.3389/fpubh.2023.1182552
Fang, H., Chang, H., Yang, J., & Hu, S. (2023). Self-rated health status and its influencing factors among the elderly with disabilities in rural areas. Journal of Community Medicine, 21(22), 1153-1157. https://doi.org/10.19790/j.cnki.jcm.2023.22.01
Fessler, L., Maltagliati, S., Sieber, S., Cullati, S., Tessitore, E., Craviari, C., Luthy, C., Hanna, E., Meyer, P., Orsholits, D., Sarrazin, P., & Cheval, B. (2023). Physical activity matters for everyone’s health, but individuals with multimorbidity benefit more. Preventive Medicine Reports, 34, 102265. https://doi.org/10.1016/j.pmedr.2023.102265
Ibsen, Kristoffer et al. (2024). Study group design and university dropout --- a randomized study. AEA RCT Registry. January 19. https://doi.org/10.1257/rct.12844-1.0
Kananen, L., Enroth, L., Raitanen, J., Jylhävä, J., Bürkle, A., Moreno-Villanueva, M., ... & Jylhä, M. (2021). Self-rated health in individuals with and without disease is associated with multiple biomarkers representing multiple biological domains. Scientific Reports, 11, 6139. https://doi.org/10.1038/s41598-021-85668-7
Macera, C. A., Cavanaugh, A., & Bellettiere, J. (2017). State of the Art Review: Physical Activity and Older Adults. American Journal of Lifestyle Medicine, 11(1), 42-58. https://doi.org/10.1177/1559827615571897
Mathentamo, Q., Lawana, N., & Hlafa, B. (2024). Interrelationship between subjective well-being and health. BMC Public Health, 24(1), 2213. https://doi.org/10.1186/s12889-024-19676-3
Qobadi, M., & Payton, M. (2017). Racial disparities in obesity prevalence in Mississippi: Role of socio-demographic characteristics and physical activity. International Journal of Environmental Research and Public Health, 14(3), 258. https://doi.org/10.3390/ijerph14030258
Tanaka, R., Fuse, S., Kuroiwa, M., Amagasa, S., Endo, T., Ando, A., Kime, R., Kurosawa, Y., & Hamaoka, T. (2020). Vigorous-Intensity Physical Activities Are Associated with High Brown Adipose Tissue Density in Humans. International Journal of Environmental Research and Public Health, 17(8), 2796. https://doi.org/10.3390/ijerph17082796
U.S. Department of Health and Human Services. (2008). 2008 Physical Activity Guidelines for Americans. Washington, D.C.: U.S. Government Printing Office. ISBN: 978-0-16-087014-1
Wang, P. P. (2022). China Population Census Yearbook 2020. China Statistics Press Co., Ltd. ISBN 9787503797712.
World Health Organization. (2020). Global Physical Activity Questionnaire (GPAQ). Retrieved from https://www.who.int/publications/i/item/global-physical-activity-questionnaire
World Health Organization. (2024). Physical activity. World Health Organization. Retrieved from https://www.who.int/zh/news-room/fact-sheets/detail/physical-activity
Yamada, K., Yamaguchi, S., Sato, K., Fuji, T., & Ohe, T. (2020). The COVID-19 outbreak limits physical activities and increases sedentary behavior: A possible secondary public health crisis for the elderly. Journal of Orthopedic Science, 25(6), 1093–1094. https://doi.org/10.1016/j.jos.2020.08.004
Yao, X., Wang, X., & Deng, Y. (2022). Research progress on physical activity status and influencing factors of the elderly in nursing homes. Chinese Evidence-Based Nursing, 8(23). https://doi.org/10.12102/j.issn.2095-8688.2022.23.010