Jeon HH, et al. Korean J Adult Nurs. 2018 Oct;30(5):482-492. https://doi.org/10.7475/kjan.2018.30.5.482

Aims We aim to identify challenges and recommendations for senior centre health services focusing on nurses' roles in an urban South Korean community. Background Senior centres can potentially provide easily accessible and cost-effective health services to older adults. It is essential to identify current challenges to improve health services. Method This study used an explanatory sequential mixed-methods design. Quantitative descriptive data were obtained from a survey of all nurses at senior centres in Seoul (n = 30). For the qualitative data, focus group interviews were conducted with various senior centre stakeholders (n = 15). Results Two main themes, discrepancy between services and needs and reform senior centres, were identified with six subthemes. Conclusions Challenges identified included insufficient availability to meet health service needs, overlapping health services, and no legal clarification of nurses' roles. Recommendations to improve the senior centre health services include to focus on the centres' main goals, function as health and welfare hubs, establish legal guidelines, and provide adequate nurse staffing. Implication for Nursing Management The senior centres need to hire more nurses and define nurses' occupational roles legally for the centres to serve as a hub connecting medical care and welfare.

Purpose: This study aimed to identify latent classifications based on trajectories of change in depressive symptoms among multicultural adolescents in middle and high school and to identify factors that influence classification. Methods: This study used six time-point data from the Multicultural Adolescents Panel Study (MAPS) conducted by the National Youth Policy Institute (NYPI). We longitudinally analyzed data from 2014 to 2019, which corresponds to the participants' middle and high school years. Latent Growth Curve Modeling (LGCM) was used to analyze the depressive developmental trajectories of multicultural youth in middle and high school. Latent Class Growth Modeling (LCGM) was used to determine the number and shape of latent classes according to the type of depression among multicultural adolescents. We applied multinomial logistics regression analysis to explore the predictors of each class. Results: A model with three latent classes was identified: (1) low-decreasing class (intercept=13.34, slope=-0.07, 37.9%), (2) moderate-increasing class (intercept=17.76, slope=0.41, 47.6%), (3) high-increasing class (intercept=23.22, slope=0.44, 14.5%). Multinomial logistic regression showed multicultural adolescents who were male, experienced high acculturative stress and social withdrawal, and had low self-esteem, life satisfaction, and family support tended to belong to either the moderate-increasing or high-increasing class. Conclusion: These findings suggest that preliminary assessments of gender, acculturation stress, self-esteem, life satisfaction, social withdrawal, and family support among multicultural adolescents may be valuable for developing tailored mental health programs.

Purpose: To identify factors influencing health-related quality of life for young single-person households, this study investigated physical and mental health status, health behavior, depression, resilience, and health-related quality of life. Methods: An online survey was administered to members of young single-person households from March 22 to 30, 2022. The data were analyzed using the chi-square test, independent t-test, one-way analysis of variance, Pearson correlation coefficients, multiple regression, and a simple mediation model applying the PROCESS macro model 4 with 95% bias-corrected bootstrapped confidence intervals. Results: The participants were 229 members of young single-person households. Health-related quality of life showed significant relationships with residence (t = 2.80, p = .006), monthly income (F = 3.70, p = .026), mental health status (F = 20.33, p < .001), and high-intensity exercise (F = 7.35, p = .001) among general and health-related characteristics. Health-related quality of life had significant correlations with depression (r = -.72, p < .001) and resilience (r = .58, p < .001). Multiple regression analysis showed that depression (β = -.57, p < .001) and resilience (β = .21, p < .001) influenced health-related quality of life. Moreover, resilience had a mediating effect between depression and health-related quality of life (indirect effect = -0.002, 95% bias-corrected bootstrapped confidence interval = -0.003 to -0.001). Conclusion: Members of young single-person households tended to be more vulnerable to emergency situations, such as during the coronavirus disease 2019 pandemic, when lockdowns and quarantines were frequent. To improve health-related quality of life in young single-person households, people with high levels of depression or low levels of resilience need special attention and support to promote mental health.