Purpose This secondary data analysis study examined adults’ levels and networks of obesity-related health behaviors according to the life cycle stage.
Methods Participants included 5,203 adults aged 19–79 years who participated in the third year of the eighth Korea National Health and Nutrition Examination Survey (2021). Life cycle stages were divided into young, middle-aged, and older adult groups. Obesity status was classified based on a body mass index of 25 kg/m2. Selected obesity-related health behaviors included alcohol abstinence, not smoking, proper sleep, eating breakfast, fruit intake, vegetable intake, not eating out, aerobic physical activity, walking, and weight training. Obesity-related health behavior networks were analyzed for density, inclusiveness, degree, and degree/closeness/betweenness centrality using social network analysis.
Results Participants’ obesity rate was 37.6%, with the highest rate observed in the older adult group (39.2%). In all life cycle stages, the non-obese group had a higher density and average degree in the obesity-related health behavior network than the obese group. The young adult group showed higher centrality for vegetable intake, not smoking, alcohol abstinence, and proper sleep. The middle-aged group generally had higher centrality for health behaviors, whereas the older adult group had lower overall centrality for health behaviors, especially proper sleep and physical activity-related behaviors.
Conclusion There were differences in the levels and network structures of obesity-related health behaviors according to the life cycle stage, indicating a need for differentiated obesity-management strategies according to the life cycle stage.
Purpose The purpose of this study was to develop eating traits scale for Korean adults and verify its validity and reliability.
Methods The initial items were developed based on the literature reviews. The first preliminary scale has consisted of 78 items and the second preliminary scale consisted of 50 items selected by 13 experts who were formed to evaluate the content validity. To review whether they could understand the questionnaires at their reading level, 27 sixth-grade elementary school students were asked to be involved in this study. The questionnaire was revised through the consultation of Korean language teachers, and the final preliminary scale was composed of 50 items. Data were collected from 329 adults aged 19 to 65 years to test validity and reliability of the scale The item analysis and exploratory factor analysis were applied.
Results Exploratory factor analysis showed 5 factors of 35 items. The factors (No. of items) were ‘Mood states (6)’, ‘Pursuit of health (6)’, ‘Stimulation of food (9)’, ‘Social situations (5)’, ‘Desire satisfaction (9)’. These 5 factors explained 55.04% of the total variance. Eating traits scale developed in this study was established construct validity. The reliability of the scale, Cronbach's alpha coefficient was .92 and the factor’s ranged from .77 to .87.
Conclusions Eating traits scale developed in this study was verified by content validity, construct validity and reliability. It is expected to be useful measuring eating traits of Korean adults in clinical practice and research.
Purpose This study is to identify factors related to health-related quality of life in one-person households across the life cycle by analyzing data from the 2021 Korean National Health and Nutrition Examination Survey.
Methods The subjects of one-person households were divided into 195 young adults, 273 middle-aged people, and 490 elderly people according to life cycle. Data were analyzed by complex sample cross tabulation, complex sample t-test, complex sample ANOVA, and complex sample multiple regression analysis using IBM SPSS 26.0.
Results In young adults, subjective health status, daily activity limitation, and stress level explained 41% of health-related quality of life, and in middle age, income level, education level, occupation, marital status, subjective health status, stress level, and depression had a 60% explanatory power. In old age, education level, subjective health status, daily activity limitation, stress level, and depression explained 53% of health-related quality of life.
Conclusion In order to effectively improve the health-related quality of life of one-person households, it is necessary to establish a customized program considering the influencing factors across the life cycle and systematically manage it according to the flow of the life cycle.
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Purpose This study aims to find out further about the burden on families in undertaking caregiving for the elderly with chronic illnesses.
Methods A qualitative study was developed using in-depth interviews with 12 family caregivers selected by purposive sampling in July 2022. The thematic analysis was then carried out using the Colaizzi method, and N-Vivo 12 Qualitative Data Analysis Software was used to assist with the content analysis.
Results The result from the experience interview analysis of caregivers participating in this study were 54 codes which were categorized into thirteen categories. Then, they were derived into four themes, as follows: 1) Physical burden of the caregivers for the elderly with chronic illness, 2) Psychological burden of the caregivers for the elderly with chronic illness, 3) Obstacle of caregivers for the elderly with chronic illness, 4) The state of caregivers who perform caregiving for the elderly with chronic illness.
Conclusion The experience of caregivers in undertaking caregiving for the elderly with chronic disease has many obstacles, such as physical, psychological, and economic burdens. Caregivers often find positive aspects of their experiences while caregiving for the elderly, although their burden also constantly increases. Health facilities should pay serious attention to family caregivers and facilitate programs that can help reduce the burden on family caregivers.
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