• Therapeutic Science for Rehabilitation
• /
• v.13 no.2
• /
• pp.41-51
• /
• 2024

Objective : This study aimed to assess the applicability of the Yonsei Lifestyle Profile (YLP), initially developed for adults, for adolescents and verify its reliability and validity. Methods : This study evaluated the reliability and validity of the YLP among 436 middle and high school students in South Korea. The internal consistency of this scale was analyzed using Cronbach's alpha and Spearman-Brown's coefficient. Concurrent validity was assessed using Pearson's correlation coefficient with the Korean Youth Physical Activity Questionnaire, the Korean version of the Children and Adolescents Participation Scale, and the Nutrition Quotient for Adolescents. Results : The overall internal consistency of the YLP items demonstrated high reliability, with a Cronbach's α of .811 and Spearman-Brown's coefficient of .779. Significant positive correlations were observed for physical activity (r=.555, p<.01), activity participation (r=.177, p<.01), and dietary habits (r=.633, p<.05), indicating consistent correlations with the related scales. Conclusion : This study analyzed the YLP targeting adolescents and confirmed its high reliability and significant validity in the areas of physical activity, activity participation, and dietary habits. These findings suggest that the YLP can be utilized as a reliable tool for evaluating healthy lifestyles among adolescents.

• Therapeutic Science for Rehabilitation
• /
• v.13 no.2
• /
• pp.69-84
• /
• 2024

Objective : This study aimed to categorize the lifestyles of older adults into two types - healthy and unhealthy, and use machine learning to identify the personal values that influence these lifestyles. Methods : This cross-sectional study targeting middle-aged and older adults (55 years and above) living in local communities in South Korea. Data were collected from 300 participants through online surveys. Lifestyle types were dichotomized by the Yonsei Lifestyle Profile (YLP)-Active, Balanced, Connected, and Diverse (ABCD) responses using latent profile analysis. Personal value information was collected using YLP-Values (YLP-V) and analyzed using machine learning to identify the relative importance of personal values on lifestyle types. Results : The lifestyle of older adults was categorized into healthy (48.87%) and unhealthy (51.13%). These two types showed the most significant difference in social relationship characteristics. Among the machine learning models used in this study, the support vector machine showed the highest classification performance, achieving 96% accuracy and 95% area under the receiver operating characteristic (ROC) curve. The model indicated that individuals who prioritized a healthy diet, sought health information, and engaged in hobbies or cultural activities were more likely to have a healthy lifestyle. Conclusion : This study suggests the need to encourage the expansion of social networks among older adults. Furthermore, it highlights the necessity to comprehensively intervene in individuals' perceptions and values that primarily influence lifestyle adherence.

• Therapeutic Science for Rehabilitation
• /
• v.8 no.3
• /
• pp.7-29
• /
• 2019

Objective: The purpose of this study is to analyze comprehensive lifestyle assessment and other assessments which evaluate essential lifestyle factors, including physical activity, nutrition and activity participation. Methods: To analyze the comprehensive lifestyle assessment, from January 2001 to June 2019, a literature search was conducted using the CINANL, NDSL, PubMed, and RISS databases. The search terms were 'lifestyle assessment' OR 'lifestyle profile' OR 'lifestyle test'. In terms of other assessments of essential factors of lifestyle, from January 2010 to June 2019, articles were searched using similar databases. The search terms were 'physical activity assessment' OR 'physical activity participation profile', 'nutrition assessment', 'activity participation assessment' OR 'activity participation and lifestyle'. Results: A total of 4,165 articles were obtained, and finally 31 articles were selected according to the inclusion criteria. Among 31 articles, there were five with comprehensive lifestyle assessments, and all of them were self-report questionnaires. The most popular assessments were the Health Enhancement Lifestyle Profile (HELP) and the Health-Promoting Lifestyle Profile (HPLP), which were used in three articles (33%). In terms of assessment of physical activity, the most frequently used evaluation method was the self-report questionnaire, which was used in seven articles (58%) followed by objective assessments, which were used in four articles (33%). It was demonstrated that the Mini-Nutritional Assessment (MNA) was the most frequently used for nutrition assessment in the elderly. There were five types of assessment tool used for activity participation. Among them, meaningful activity participation assessment (MAPA) was the most frequently used tool. Conclusion: As a result of the systematic review, it was found that there are 21 assessments related to the evaluation of lifestyle in the elderly. Most assessments employed the self-report questionnaire method and mainly evaluated frequency and duration of participation in drinking, smoking, exercise, nutrition and social activities. Assessments of essential lifestyle factors were the self-report questionnaire method and the participation and frequency of activity. Therefore, by analyzing assessment tools, types of items and measurement methods of comprehensive lifestyle assessments and other assessment of essential lifestyle factors, this study provides the basic data on which to develop a standardized assessment tool that can evaluate the multifaceted lifestyle profile of the elderly.

• Therapeutic Science for Rehabilitation
• /
• v.10 no.2
• /
• pp.75-93
• /
• 2021

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 (χ²) 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.