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KMID : 1143320210100020075
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Therapeutic Science for Neurorehabilitation
2021 Volume.10 No. 2 p.75 ~ p.93
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Predicting Healthy Lifestyle Patterns in Older Community Dwelling Adults: A Latent Profile Analysis
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Park Kang-Hyun
Yang Min-Ah
Won Kyung-A
Park Ji-Hyuk
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Abstract
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Objective : The aim of this study was to identify subgroups of older adults with respect to their lifestyle patterns and examine the characteristics of each subgroup in order to provide a basic evidence for improving the health and quality of life.
Methods : This cross-sectional study was conducted in South Korea. Community-dwelling older adults (n=184) above the age of 65 years were surveyed from April 2019 to May 2019. This study used latent profile analysis to examine the subgroups. Chi-squared (χ 2) and multinomial logistic regression measures were then used to analyze individual characteristics and influencing factors.
Results : The pattern of physical activity which is one of the lifestyle domains in elderly was categorized into three types: ‘passive exercise type (31.1%)’, ‘low intensity exercise type (54.5%)’, and ‘balanced exercise type(14.5%)’.
Activity participation was divided into three patterns: ‘inactive type (12%)’, ‘self-management type (61%)’, and ‘balanced activity participation type (27%)’. In terms of nutrition, there were only two groups: ‘overall malnutrition type (13.5%)’ and ‘balanced nutrition type (86.5%)’. Furthermore, as a result of the multinomial logistic regression analysis to understand the effects of lifestyle types on the health and quality of life of the elderly, it was confirmed that the health and quality of life were higher in those following an active and balanced lifestyle. In addition, gender, education level and residential area were analyzed as predictive factors.
Conclusion : The health and quality of life of the elderly can be improved when they have balanced lifestyle. Therefore, an empirical and policy intervention strategy should be developed and implemented to enhance the health and quality of life of the elderly.
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KEYWORD
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Health, Healthy lifestyle, Latent profile analysis, Older adults, Quality of life
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