ABSTRACT
Objectives@#：This study was aimed to investigate the changes in metabolic syndrome (MetS) status and long-term impact of its components over a 10-year period in severe mental illness (SMI) patients in a national mental hospital. @*Methods@#：A total of 93 patients (schizophrenia=88, bipolar disorder=5) who met the diagnosis of Diagnostic and Statistical Manual of Mental Disorders, fourth edition, text revision (DSM-IV-TR) and participated in the MetS study in 2011 were included. MetS was defined by revised National Cholesterol Education Program-Adult Treatment Panel III (revised NCEP-ATP-III) guidelines. @*Results@#：The prevalence of MetS was significantly increased from 40.9% in 2011 to 60.2% in 2020. There were significant differences in admission status and hospitalization months, compared to the groups with and without MetS. Upon reviewing the changes over a decade, systolic blood pressure (SBP) was a significant factor in the group without MetS. In the group with MetS, SBP, waist circumference, and BMI (body mass index) were significant factors. Multiple logistic regression analysis revealed that hospitalization during follow-up periods [odds ratio (OR)=0.969, 95% confidence interval (CI): 0.948-0.991] and BMI (OR=1.426, 95% CI: 1.196-1.701) were significantly associated with MetS in subjects. @*Conclusion@#：The prevalence of MetS in patients with SMI significantly increased over time. The admission status and hospitalization were also confirmed to be the significant values of MetS.
ABSTRACT
Objectives@#：The aim of this study was to examine socio-demographic variables and the correlation of their factors and mental health with resilience in adolescents. @*Methods@#：Participants were 4,325 middle and high school students living in Jeollanam-do, South Korea. Participants completed self-report questionnaires examining socio-demographic characteristics and including the following self-rating scales: the resilience test, the adolescent mental health and problem behavior screening questionnaire-II (AMPQ-II). @*Results@#：The resilience test scores were positively correlated with the adolescent mental health and problem behavior screening questionnaire-II scores (p<0.001). In multiple regression analysis, below average academic achievement (OR 4.05, 95%CI 2.62-6.27, p<0.001), perceived poor relationship with parents (OR 2.91, 95%CI 2.28-3.71, p<0.001), body dissatisfaction (OR 2.09, 95%CI 1.57-2.79, p<0.001), middle school students (OR 2.02, 95%CI 1.59-2.56, p<0.001), male (OR 1.95, 95%CI 1.55-2.46, p<0.001), low socioeconomic status (OR 1.68, 95%CI 1.11-2.52, p=0.014), low maternal education level (OR 1.64, 95%CI 1.09-2.48, p=0.018) showed significant negative correlation with resilience. @*Conclusion@#：Resilience needs to be considered to promote mental health of adolescents. Specifically, interventions providing psychological support should target adolescents with factors correlated low resilience
ABSTRACT
Objectives@#：The authors examined the association of sleep quality and metabolic syndrome (MetS) in schizophrenic patients using actigraphy. @*Methods@#：A total of 101 schizophrenic patients were included in this study. Fifty-four (53.4%) patients met the criteria of MetS. Self-assessment of subjective sleep quality, daytime sleepiness, physical activities were measured using Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS) and International Physical Activity Questionnaire (IPAQ), respectively. Objective sleep quality and physical activity were measured by Actigraph (ActiGraph wGT3X-BT). @*Results@#：Total time in bed (TIB) (p=0.032), sleep latency (SL) (p=0.001), wake after sleep onset (WASO) (p<0.001) and average awakening (p=0.015) were significantly longer in patients with MetS than those of non-MetS. Results of multiple logistic regression showed that long sleep latency (OR 7.876, 95% CI 1.519, p=0.014) and low sleep efficiency (OR 9.902, 95% CI 1.111, p=0.040) were high risk factors for MetS. @*Conclusion@#：This was the first study to find the correlations of sleep quality and MetS in schizophrenic patients by objective sleep measurements. Although long sleep latency and low sleep efficiency were associated with MetS in patients with schizophrenia, more extensive and complicated designed studies may be needed to the association of MetS and sleep problems in schizophrenic patients.
ABSTRACT
Objectives@#：The aim of this study was to examine socio-demographic variables and the correlation of their factors and mental health with resilience in adolescents. @*Methods@#：Participants were 4,325 middle and high school students living in Jeollanam-do, South Korea. Participants completed self-report questionnaires examining socio-demographic characteristics and including the following self-rating scales: the resilience test, the adolescent mental health and problem behavior screening questionnaire-II (AMPQ-II). @*Results@#：The resilience test scores were positively correlated with the adolescent mental health and problem behavior screening questionnaire-II scores (p<0.001). In multiple regression analysis, below average academic achievement (OR 4.05, 95%CI 2.62-6.27, p<0.001), perceived poor relationship with parents (OR 2.91, 95%CI 2.28-3.71, p<0.001), body dissatisfaction (OR 2.09, 95%CI 1.57-2.79, p<0.001), middle school students (OR 2.02, 95%CI 1.59-2.56, p<0.001), male (OR 1.95, 95%CI 1.55-2.46, p<0.001), low socioeconomic status (OR 1.68, 95%CI 1.11-2.52, p=0.014), low maternal education level (OR 1.64, 95%CI 1.09-2.48, p=0.018) showed significant negative correlation with resilience. @*Conclusion@#：Resilience needs to be considered to promote mental health of adolescents. Specifically, interventions providing psychological support should target adolescents with factors correlated low resilience
ABSTRACT
Objectives@#：The authors examined the association of sleep quality and metabolic syndrome (MetS) in schizophrenic patients using actigraphy. @*Methods@#：A total of 101 schizophrenic patients were included in this study. Fifty-four (53.4%) patients met the criteria of MetS. Self-assessment of subjective sleep quality, daytime sleepiness, physical activities were measured using Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS) and International Physical Activity Questionnaire (IPAQ), respectively. Objective sleep quality and physical activity were measured by Actigraph (ActiGraph wGT3X-BT). @*Results@#：Total time in bed (TIB) (p=0.032), sleep latency (SL) (p=0.001), wake after sleep onset (WASO) (p<0.001) and average awakening (p=0.015) were significantly longer in patients with MetS than those of non-MetS. Results of multiple logistic regression showed that long sleep latency (OR 7.876, 95% CI 1.519, p=0.014) and low sleep efficiency (OR 9.902, 95% CI 1.111, p=0.040) were high risk factors for MetS. @*Conclusion@#：This was the first study to find the correlations of sleep quality and MetS in schizophrenic patients by objective sleep measurements. Although long sleep latency and low sleep efficiency were associated with MetS in patients with schizophrenia, more extensive and complicated designed studies may be needed to the association of MetS and sleep problems in schizophrenic patients.
ABSTRACT
OBJECTIVES: The purpose of this study was to examine psychosocial factors influencing suicidal ideation of community dwelling elderly, using the senior community center in Jeonnam Province.METHODS: A total of 2,202 subjects (369 males, 1,833 females) were recruited. We evaluated sociodemographic factors, using a self-reporting questionnaire. Subjects completed the Geriatric Depression Scale-Short Form Korean Version (SGDS), Multi-dimensional Scale of Perceived Social Support (MSPSS), Korean version of the General Health Questionale-12 (GHQ-12) and Satisfaction with Life scale (SWLS), to assess psychosocial factors affecting suicidal ideation.RESULTS: Among 2,202 subjects, 179 (8.1%) reported recent suicidal ideation. Self-perceptive health status (p < 0.001) and physical disease (p=0.002) revealed differences between two groups. The scores of four scales in the suicidal group were significantly different from the control group: SGDS (p < 0.001) and GHQ-12 (p < 0.001) were higher, while MSPSS (p < 0.001) and SWLS (p < 0.001) were lower, in the suicidal ideation group than the control group. Multivariate logistic regression analysis revealed that physical disease (OR 2.575, 95%CI 1.022–6.492), SGDS (OR 1.181, 95%CI 1.120–1.246) and GHQ-12 (OR 1.192, 95%CI 1.108–1.283), were significantly associated with suicidal ideation.CONCLUSION: Findings support that physical disease, depression, and general mental health may correlate to suicidal ideation in the elderly.