This study aimed to examine the levels of perceived self-management support, self-efficacy for self-management, and health-related quality of life (HRQoL) in cancer survivors, and to identify the mediating effect of self-efficacy in the relationship between perceived self-management support and HRQoL.

This study used a descriptive correlational design. Two hundred and four cancer survivors who had completed treatment participated in the study. Measurements included the Patient Assessment of Chronic Illness Care Scale, the Korean version of the Cancer Survivors’ Self-Efficacy Scale, and the Medical Outcomes Study Short Form-36. Data were analyzed using descriptive statistics, Pearson's correlation coefficient analysis, and multiple regression analysis using Baron and Kenny's method for mediation.

The mean score for perceived self-management support was 3.35 out of 5 points, self-efficacy was 7.26 out of 10 points, and HRQoL was 65.90 out of 100 points. Perceived self-management support was significantly positively correlated with self-efficacy (r=.29, p<.001) and HRQoL (r=.27, p<.001). Self-efficacy was also significantly correlated with HRQoL (r=.59, p<.001). Furthermore, self-efficacy (β=.55, p<.001) had a complete mediating effect on the relationship between perceived self-management support and HRQoL (Z=3.88, p<.001).

The impact of perceived self-management support on HRQoL in cancer survivors was mediated by self-efficacy for self-management. This suggests that strategies for enhancing self-efficacy in cancer survivors should be considered when developing self-management interventions for improving their HRQoL.

To examine the prevalence of depressive symptoms and differentiate factors associated with them in urban and rural areas by applying the Ecological Models of Health Behavior.

We employed a cross-sectional design and convenience sample of 460 female adolescents. The instruments included the Adolescent Mental-Health Problem-Behavior Questionnaire (AMPQ-II) and the Beck Depression Inventory (BDI).

Depressive symptoms were confirmed in 15.7% of urban adolescents and 22.9% of rural adolescents (p<.05). In the urban group, perception of health and stress associated with school performance were significantly associated with depressive symptoms. In the rural group, aca-demic/internet related problems and rule violations were significantly associated with depressive symptoms (p<.05). General life happiness, worry/ anxiety, and mood/suicidal ideation were common factors in both urban and rural areas (p<.05).

Multiple factors were associated with depressive symptoms, and those significant factors differed between urban and rural female youths. Accordingly, tailored approaches are required considering urban and rural differences. The approaches should include intrapersonal, interpersonal, and organizational levels of interventions.

Purpose was to explore associations between sleep duration and metabolic syndrome (MS) risks, and to determine factors associated with self-rated health (SRH) of adults with MS compared to other adults.

This is a secondary data analysis based on the Fifth Korea National Health and Nutrition Examination Survey KNHANES V (N=12662). Study instruments included sleep duration, MS risk factors, SRH and health-related quality of life (HRQoL).

Mean age of participants was 43.68±12.26 years. Fifty-eight percent were women, and 18.3% were identified as having MS. Systolic blood pressure (SBP), diastolic blood pressure (DBP), and SRH were significantly different according to sleep duration (p<.05) among all participants. In the non MS group, male gender, younger age (19~30 and 41~50 age brackets) upper income level, sufficient sleep duration, and high density lipoprotein (HDL) were positively associated with SRH, whereas, lower education levels (≤ middle school), glucose level, and waist circumference were negatively associated with SRH (p<.05). In the MS group, lower income, lower education levels (≤ middle school), glucose level, and waist circumference were negatively associated with SRH, whereas, having an occupation was positively associated with SRH (p<.05).

Results suggest that tailored approaches are required for prevention and control of MS and sleep duration of each individual should be considered rather than applying standardized guidelines. However, as sleep quality was not included in the analysis, further investigations regarding influence of sleep quality on MS and SRH and controlling for other lifestyle and health behavior factors are required.