METHODS: The present meta-analysis was conducted between January 2000-August 2019. Articles related to the subject matter were obtained by searching Scopus, Sciencedirect, SID, magiran, Barakat Knowledge Network System, Medline (PubMed), and Google Scholar databases. The heterogeneity of the studies was evaluated using I2 index and the data were analyzed in Comprehensive Meta-Analysis software.
RESULTS: In a study of 3948 individuals aged 50-90 years, the overall prevalence of severe depression in Iranian older adult was 8.2% (95% CI, 4.14-6.3%) based on meta-analysis. Also, in order to investigate the effects of potential factors (sample size and year of study) on the heterogeneity of severe depression in Iranian older adult, meta-regression was used. It was reported that the prevalence of severe depression in Iranian older adult decreased with increasing sample size and increasing years of the study, which is significantly different (P
OBJECTIVES: To determine the prevalence and predictors of poor sleep quality among secondary school students in Gombak District, Selangor.
METHODS: A cross-sectional study was conducted in Gombak District. The sample size was 1,092 based on two group comparison formula. Students were selected using sampling with probability to proportionate to size. Selfadministered pretested questionnaires were used to collect the data. The data were analysed using the Statistical Package for Social Sciences (SPSS) version 22. Chi-square or Fisher's exact test was performed to determine the association between individual categorical variables and sleep quality. Variables with p-value <0.25 were selected to be subjected into multivariate logistic regression to determine the predictors.
RESULTS: The response rate was 93.0%. The prevalence of poor sleep quality was 24.0% (95% CI = 21.5, 26.6). Based on the analysis of simple logistic regression seven variables that were significantly associated with poor sleep quality were age, gender, marital status of parents, depression, anxiety, stress and academic performance found fit in the model. Multivariate logistic analysis showed that the significant predictors of poor sleep quality were age, marital status of parents, depression, anxiety, stress and academic performance. Factors that were not statistically significant were gender, religion, ethnicity, parent's educational level and family income.
CONCLUSIONS: Prevalence of poor sleep quality among adolescents is high. The predictors of poor sleep quality are age, marital status of parents, depression, anxiety, stress and academic performance.
Methods: We utilised 2,179 referrals between January and December 2015 from six general hospitals and three mental health institutions that provide clinical psychology services.
Results: The percentage of male referrals (60.3%) is higher than that of female referrals (39.7%). Adult cases had the highest percentage of referrals (48.2%). Children (48.8%) and adolescent (28.1%) cases were mainly referred for psychological assessment. Meanwhile, adult cases (74.8%) were mainly referred for psychological intervention. Neurodevelopmental disorders was the diagnosis with the highest percentage of referrals recorded (41.4%), followed by depressive disorders (13.3%) and anxiety disorders (12.7%), and the combination of other disorders. Psychiatrists provided the highest number of referrals (82.2%), which is unsurprising as both fields are closely related.
Conclusion: Clinical psychology services within the Ministry of Health (MOH) Malaysia play an important role in mental health care.