활동제한이 없는 노인의 성별에 따른 근력 영향요인
Factros influencing the muscle strength of the elderly without activity restrictions by gender
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초록
Purpose: The purpose of this study was to identify the factors influencing the muscle strength according to gender of older adults without activity restrictions. Methods: This study comprised secondary data-analysis research. Data from the 7th Korea National Health and Nutrition Examination Survey were used, and 4,511 elderly men and women without activity restrictions were selected for this study. Variables including general characteristics and physical and psychological variables were analyzed. Data analysis was performed using a complex sample linear regression analysis. Results: Factors influencing muscle strength in elderly men without activity restrictions were household income, education level, protein intake, high blood pressure, arthritis, drinking, aerobic exercise, Body Mass Index, sleep time, subjective body awareness, and quality of life. The explanatory power was 29.3% (F=27.11, p<.001). The influencing factors of muscle strength of elderly women without activity restrictions were education level, economic activity, high blood pressure, drinking, stress, subjective body awareness, and quality of life; their explanatory power was 21.2% (F=26.87, p<.001). Conclusion: Differences in influencing factors by gender should be considered in the muscle-strength-improvement intervention program for older adults. Furthermore, intervention studies must examine the effects of gender-specific programs on older adults’ muscle strength.
Abstract
Purpose: The purpose of this study was to identify the factors influencing the muscle strength according to gender of older adults without activity restrictions. Methods: This study comprised secondary data-analysis research. Data from the 7th Korea National Health and Nutrition Examination Survey were used, and 4,511 elderly men and women without activity restrictions were selected for this study. Variables including general characteristics and physical and psychological variables were analyzed. Data analysis was performed using a complex sample linear regression analysis. Results: Factors influencing muscle strength in elderly men without activity restrictions were household income, education level, protein intake, high blood pressure, arthritis, drinking, aerobic exercise, Body Mass Index, sleep time, subjective body awareness, and quality of life. The explanatory power was 29.3% (F=27.11, p<.001). The influencing factors of muscle strength of elderly women without activity restrictions were education level, economic activity, high blood pressure, drinking, stress, subjective body awareness, and quality of life; their explanatory power was 21.2% (F=26.87, p<.001). Conclusion: Differences in influencing factors by gender should be considered in the muscle-strength-improvement intervention program for older adults. Furthermore, intervention studies must examine the effects of gender-specific programs on older adults’ muscle strength.
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