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 analyze and clarify the concept of ‘optimistic bias.’
Methods A review of the literature was conducted using several databases. The databases were searched using the following keywords: optimistic bias, optimism bias, and concept analysis. The literature on optimistic bias was reviewed using the framework of Walker and Avant’s conceptual analysis process.
Results Optimistic bias can be defined by the following attributes: 1) underestimation of personal risk, 2) vague confidence, 3) positive future prediction and 4) lack of risk recognition. The antecedents of optimistic bias are as follows: 1) risk perception, 2) self-efficacy, and 3) risk controllability. The consequences of optimistic bias are as follows: 1) reduced anxiety, 2) providing emotional stability, 3) negative consequences for preventive health behavior, 4) lack of attention to risk-related information, and 5) negative consequences for self-protection behavior.
Conclusion The definition and attributes of optimistic bias identified by this study can provide a common understanding of this concept and help to develop a nursing intervention program effective in preventing, protecting, and improving health of subjects in the field of nursing practice.
Purpose Migrant workers battle to access health services and adapt to a new culture. Self-care agency can be essential for health self-management. This study examines the effects of a health engagement program to improve self-care agency using a living lab approach among migrant workers living in South Korea.
Methods This study used a mixed-methods design, including a non-equivalent pre-post-test control group and three focus group interviews. Participants included 42 migrant workers from nine countries recruited via flyers, posters, and internet bulletins posted by a migrant community organization. During the 12 weeks, only the intervention group participants received four workshops addressing healthy physical activity, healthy dietary habits, effective cultural adaptation, stress management, and two outdoor cultural activities. They also participated in focus group interviews after the second, third, and fourth group activities and discussed the benefits of healthy behaviors and specific ways to implement them in real life.
Results Participants in the intervention group showed an increase in self-care agency, health literacy, and acculturation after the 12- week intervention. Themes were derived based on the lessons from living lab activities, barriers to health behavior practices, and methods to overcome these.
Conclusion This study demonstrated that multi-component intervention using a living lab effectively increased migrants’ participation in health promotion activities by strengthening health in their self-care agency. The qualitative and living lab approach effectively obtained comprehensive results on strategies to enhance healthy behavior engagement.
Purpose The aim of this study was to investigate the educational status and needs of premature birth prevention, and to identify factors associated with preconception health behaviors.
Methods: The study design was a crosssectional descriptive study. Data were collected through an online questionnaire survey, and the subjects were 192 women of childbearing age in Korea. Data were analyzed using the Mann-Whitney U test, Kruskal-Wallis test, Spearman's correlation coefficients, and multiple regression.
Results: The proportion of subjects who received education on premature birth prevention was 8.9%, and 75.5% of subjects answered that they needed education on premature birth prevention. They demanded education through online media, small groups, cases, cartoons (webtoon) with stories, pictures, and videos. A related factor of preconception health behavior was self-efficacy for high-risk pregnancy health care (β=.20, p=.012), which accounted for 8.2% of the total variance related to preconception health behavior.
Conclusion: There was a need for more development of education programs to prevent premature birth for women of childbearing age. Its education programs should be applied with online, small group activities using various educational media. It is also required to promote preconception health behavior through self-efficacy for high-risk pregnancy health care.
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Purpose Health behaviors for metabolic syndrome (MetS) prevention should be emphasized from early adulthood. There is little information on psychosocial factors associated with health behaviors for MetS prevention. The aim of this study was to determine whether there would be a mediating effect of perceived stress on the association between social support and health behaviors for MetS prevention among university students. Methods This cross-sectional and correlation study was conducted with 502 university students in South Korea. Social support, perceived stress, and lifestyle evaluation for metabolic syndrome scales were used. Online questionnaire survey was conducted between November and December 2019. The mediating effect of social support on health behaviors for MetS prevention was analyzed using PROCESS macro program with bootstrapping method to test our hypotheses. Results Social support directly influenced perceived stress (β=-.35, p<.001) and health behaviors for MetS prevention (β=.14, p=.002). Health behaviors for MetS prevention was indirectly influenced by perceived stress (β=-.25, p<.001). The size of indirect effect of social support on health behaviors for MetS prevention was 0.06. Conclusions The association of social support and health behaviors for MetS prevention was partially mediated by perceived stress among university students. Therefore, a university-based nursing intervention should comprise social support strategies with stress management to promote health behaviors for MetS prevention.
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