Gender Differences between Metabolic Syndrome and Mental Health Problems in Adults Using Community Health Services / 신경정신의학

OBJECTIVES: The objective of this study was to examine the and gender difference between metabolic syndrome and clinical psychiatric characteristics. METHODS: This study was conducted in local habitants who visited one community health service from July to August 2014. 318 local habitants who have not been diagnosed with psychiatric disorders were evaluated using Center for Epidemiological Studies-Depression Scale (CES-D), Reynold Suicidal Ideation Questionnaire (SIQ, Reynolds), Rosenberg Self-Esteem Scale (SES), Korean version of WHO Quality of Life Scale-Abbreviated Version (WHOQOL-BREF), and EuroQol-5 Dimension (EQ-5D). Differences in demographic characteristics of both gender were analyzed. RESULTS: In women, the group with metabolic syndrome showed significantly lower alcohol drinking frequency (p<0.001), educational level (p<0.001) compared to the group without syndrome. Women with metabolic syndrome had lower scores for physical health (p=0.002), environment (p=0.007) on WHOQOL-BREF than those without the syndrome. However, CES-D, EQ-5D, SIQ, Reynolds, and SES show no differences. Among men, no difference was observed in all scales. In addition, in women, logistic regression analysis showed that after adjusting for confounders, metabolic syndrome group had lower score for physical health (p=0.009), environment (p=0.042) on WHOQOL-BREF than the group without syndrome. CONCLUSION: Our study showed an association of metabolic syndrome with poor physical health, environment in women.

Sleep and Suicidal Risk Factors in Korean High School Students / 수면정신생리

OBJECTIVES: Sleep problems has been consistently reported as a suicidal risk factor in adults and, recently, also in adolescents. In this study, dividing study subjects by the previous suicidal behaviors (suicidal vs non-suicidal), we compared the group differences of suicidal risk factors, and examined the possibility of sleep as a suicidal risk factor. METHODS: Study subjects were 561 (271 boys and 290 girls) from a community sample of high school students. Suicidal Risk Behavior Checklist, Center for Epidemiological Study-Depression (CES-D), Symptom Checklist-90-Revision (SCL-90-R) Anxiety and Aggression subscale, Pittsburg Sleep Quality Index (PSQI) were done. RESULTS: Forty six students (8.1%) reported previous actual self-harm behavior as a suicidal attempt, 181 students (32.4%) reported having suicidal thought only. Three hundred thirty four students (59.5%) reported no previous suicidal behavior (thought and attempt, both). Suicidal behavior group showed higher score on risk behaviors such as school violence, substance use and internet addiction. CES-D, SCL-90-R, PSQI showed significant group difference. Logistic regression analysis showed suicidal risk were significantly associated with depression, stress in suicidal risk factors and sleep latency, daytime dysfunction in PSQI. Analysis of variance (ANOVA) shows the most prolonged sleep latency and increased index of all PSQI components except sleep efficiency in suicidal attempt group. CONCLUSIONS: Sleep Problems had a strong association with the suicidal risk behavior in adolescents. Sleep problems, especially, prolonged sleep latency, daytime dysfunction might be important markers for suicidal behavior. Screening for sleep problems in adolescents are encouraged for the parents, school teachers, and related medical physicians.