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Factors Shaping Exercise Patterns and Health Status among the Elderly in Aging Nations: A South Korean Perspective
Eun Surk Yi1, Mehdi Rezaei2, Hyun Byun1
1Department of Exercise Rehabilitation, Gachon University, Incheon, Republic of Korea.
Background:
The global phenomenon of population aging requires an understanding of the factors influencing the health of the elderly becomes imperative. We aimed to focus on South Korea, a nation set to become an aging society by 2025. The study examined the influence of regular exercise and exercise types on the health of the elderly with particular attention to South Korea's unique sociodemographic context.
Methods:
We targeted individuals aged 50 yr and above. The study was conducted through online surveys from August to September 2023. Utilizing Logistic Regression analysis and Chi-Square tests, the research explored correlations, trends, and influencing factors affecting elderly exercise behaviors, encompassing demographic variables, health status, and exercise types.
Results:
The analysis of demographic characteristics revealed that marital status, education level, and financial status displayed diverse representations within the sample. Comparisons between health status and exercise groups suggested potential health benefits for the Regular Exercise group. Logistic Regression analysis identified significant influences of gender and financial status on regular exercise engagement. Additionally, a strong relationship between health status and exercise preferences, notably strength training, emerged.
Conclusion:
Regular exercise and exercise types benefit elderly individuals. Men and those with better financial status are more likely to exercise regularly. Strength training emerges as a significant contributor to better health across various health status categories. Policymakers and healthcare professionals should consider these insights to develop targeted interventions for promoting healthy aging, acknowledging the cultural and socioeconomic factors of South Korea's aging population.
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