Suchergebnisse

Objectives: Despite its high prevalence and considerable burden, depression is not handled with the required urgency in Indonesia. Existing data from the government does not specifically note its prevalence and symptoms manifestation. This study screened depression in Surabaya, where the prevalence of mood disorder was reported to be higher than the national prevalence, in order to identify where action is most needed. Methods: Cross-sectional study with non-random sampling. Participants consisted of samples from general population categorised as non-high-risk group, and prisoners, sex workers and drug users categorised as high-risk group. Depression screening was done using MINI-ICD10 self-rated depression questionnaire. Correlation between screening results and demographic data was analysed using chi-square test. Results: Positive depression screening was significantly associated with grouping and educational background. High-risk group and participants with lower education background had significantly higher number of positive screening. Significantly higher proportion of participants in the high-risk group experience eight of the ten depression symptoms regardless of screening results. Higher proportion of depression positive male participants experienced suicidal/self-harm symptom. Limitations: This study used non-random sampling method, therefore the results may not fully represent the general population. The screening instrument used did not account for depression and symptoms severity. Conclusion: High-risk group with low educational background is in most urgent need of mental health help, and suicide prevention strategy is most needed for men.

Although Bipolar Disorder (BD) is a common mental illness worldwide (1-3%), there was no data about the prevalence of BD or bipolar spectrum disorder in Indonesia. This study aimed to screen bipolar disorders in various communities Surabaya and its variations of symptoms characteristics. Through a cross-sectional design and non-random sampling survey (N = 1,104) was conducted using the Mood Disorder Questionnaire (MDQ), a screening tool for BDs, and validated self-report instrument. The SPSS 17.0 and chi square was used for analysis. Results showed the lifetime proportion of MDQ positive was 10.7% (n = 118). The proportions of MDQ positive by gender were 4.8% males and 5.9% females, no gender (p = .444) and educational background differences (p = .470). The highest proportions of MDQ positive were 4.4% in the 25-60 year group, 4% having an education level of senior high school and 6.7% having unmarried status. Among participants who had MDQ positive, 22% had an awareness of having psychological problems, unfortunately only 5.9% had visited a medical professional. Overall, the lifetime proportion of suspected bipolar disorder spectrum in Surabaya was higher than that reported in other studies. Conducting a periodic research regarding other psychosocial-cultural backgrounds will help clinicians and government identify the exact prevalence of bipolar disorder in the society and their risk factors. Furthermore, it will help to prevent the increased rate of bipolar disorders.

Objective: High relapse rate of patients with schizophrenia has a large impact on patients and their families that can be reviewed from biopsychosocial and spiritual factors. Determining all the potential risk factors of relapse in schizophrenia can help increase awareness of physicians, patients, and families. Physicians are the ones who examine patients and have responsibility to manage and educate them and expect to prevent relaps. This study analyze various biopsychosocial and spiritual factors affecting relapse occurrence in patients with schizophrenia. Methods: Cross sectional observational analytic study on 226 subjects with schizophrenia in three places in East Java, Indonesia, namely Soetomo Academic Hospital Surabaya (33.2%), Menur Hospital Surabaya (32.7%), and Radjiman Wediodiningrat Mental Hospital Lawang (34.1%) that met the inclusion and exclusion criteria. Data collection including 33 biopsychosocial and spiritual factors and were analyzed using bivariate and multivariate logistic regression. Results: Relapse rate within 1 year was 59.73%. There were 12 factors significantly affected the relapse of schizophrenia, namely history of physical disease of mothers during pregnancy ( p < .001; B = 27.31; 95% CI 3.96–188.52), presence of trigger ( p < .000; B = 6.25; 95% CI 2.61–14.96), negative beliefs ( p < .000; B = 4.94; 95% CI 2.10–11.61), hereditary factors ( p < .001; B = 4.84; 95% CI 1.93–12.10), insight ( p < .003; B = 4.27; 95% CI 1.62–11.27), 1-year GAF Scale ( p < .015; B = 3.79; 95% CI 1.30–11.09), response to treatment ( p < .006; B = 3.68; 95% CI 1.45–9.36), family knowledge ( p < .011; B = 3.23; 95% CI 1.31–7.93), history of head trauma ( p < .029; B = 3.13; 95% CI 1.13–8.69), medication side effects ( p < .028; B = 2.92; 95% CI 1.12–7.61), substance use history ( p < .031; B = 2.86; 95% CI 1.10–7.45), and occupation ( p < .040; B = 2.40; 95% CI 1.04–5.52). Conclusions: The 12 factors of biopsychosocial-spiritual are determinant to predict the risk of relapse in patients with schizophrenia. These factors should be emphasized in psychoeducation for patients and their families to enable intervention and relapse prevention.