Introduction There are few published empirical data on the effects of COVID‐19 on mental health, and until now, there is no large international study. Material and methods During the COVID-19 pandemic, an online questionnaire gathered data from 55,589 participants from 40 countries (64.85% females aged 35.80 ± 13.61; 34.05% males aged 34.90±13.29 and 1.10% other aged 31.64±13.15). Distress and probable depression were identified with the use of a previously developed cut-off and algorithm respectively. Statistical analysis Descriptive statistics were calculated. Chi-square tests, multiple forward stepwise linear regression analyses and Factorial Analysis of Variance (ANOVA) tested relations among variables. Results Probable depression was detected in 17.80% and distress in 16.71%. A significant percentage reported a deterioration in mental state, family dynamics and everyday lifestyle. Persons with a history of mental disorders had higher rates of current depression (31.82% vs. 13.07%). At least half of participants were accepting (at least to a moderate degree) a non-bizarre conspiracy. The highest Relative Risk (RR) to develop depression was associated with history of Bipolar disorder and self-harm/attempts (RR = 5.88). Suicidality was not increased in persons without a history of any mental disorder. Based on these results a model was developed. Conclusions The final model revealed multiple vulnerabilities and an interplay leading from simple anxiety to probable depression and suicidality through distress. This could be of practical utility since many of these factors are modifiable. Future research and interventions should specifically focus on them.
Introduction. Generalized anxiety disorder (GAD) is one of the most common types of anxiety disorder in epilepsy population, comprising 21.9%, that would further impair patients’ quality of life. Generalized Anxiety Disorder-7 (GAD-7) is the only screening tool for GAD that has been validated in patients with epilepsy (PWE). It is a self-reporting instrument that can be completed in less than three minutes; hence, its usage is appropriate in primary healthcare and neurology outpatient clinic. This study aimed to obtain a valid and reliable Indonesian version of GAD-7, assess its accuracy, and finally evaluate the prevalence of GAD in Indonesian PWE along with its contributing factors. Methods. A cross-sectional study was conducted in Cipto Mangunkusumo General Hospital, Jakarta. The GAD-7 was translated and adapted using World Health Organization (WHO) steps. Validity, reliability, test-retest reliability, and diagnostic accuracy were evaluated. Then, epilepsy outpatients were screened for GAD using the Indonesian version of GAD-7. Results. Internal validity and reliability for Indonesian version of GAD-7 were satisfactory with validity coefficient of 0.648 to 0.800 (p<0.01) and Cronbach’s alpha value of 0.867. The best cutoff value to detect GAD in Indonesian PWE was >6 with the sensitivity, specificity, negative predictive value, and positive predictive value of 100%, 84.4%, 100%, and 55.8%, respectively. ROC analysis showed the area under the curve of 0.98 (95% CI: 0.96–0.99). The total subjects screened with the validated Indonesian version of GAD-7 were 146, and 49% were screened as having GAD. Sociodemographic and clinical characteristics had no statistically significant association with the presence of GAD. Conclusion. The Indonesian version of GAD-7 was a valuable screening tool to detect GAD in PWE. GAD was screened in a quite high proportion of PWE. Sociodemographic and clinical characteristics were not proven to play role in its development.
Introduction: The aim of the study was to ascertain, using available data from the Bio‐psychosocial Program for children, psychiatric morbidity and specific diagnoses among youths in North Aceh in the year after the tsunami disaster. Methods: All youths (n=2,135) who participated in the program were included in the study and screened in two phases. They were first administered the Strengths and Difficulties Questionnaire (SDQ); those with positive scores were then clinically interviewed by a psychiatrist, who then provided a diagnosis according to the Diagnostic and Statistical Manual of Mental Disorders (fourth edition) (DSM‐IV). Results: Subjects ranged in age from 4 to 18 years. Female‐to‐male ratio was 1:1.5. 98.1% of subjects were directly exposed to the trauma. There were significantly higher percentages (P<0.05) of abnormal total SDQ scores among trauma‐exposed youths (52.3% among 4 to 10‐year‐olds and 46.5% among 11 to 18‐year‐olds, compared with youths in the non‐trauma‐exposed group (8% among 4 to 10‐year‐old children and 12% among 11 to 18‐year‐old adolescents. Clinical interviews revealed that 8.94% of the trauma‐exposed youths met criteria for any mental disorder. Among youths with DSM‐IV diagnoses, the most common diagnoses were post‐traumatic stress disorder (PTSD; 24.6% of total diagnoses among 4 to 10‐year‐olds and 35.6% among 11 to 18‐year‐olds), followed by depressive disorders. Discussion: Consistent with our hypotheses, youths directly exposed to the trauma demonstrated more psychiatric difficulties and higher rates of psychiatric diagnoses, most notably PTSD. Also, compared to younger children, adolescents and older children exposed to the trauma appeared to have higher rates of psychiatric disorders. In the face of disasters – natural or otherwise – further research is needed on optimal prevention of child and adolescent psychiatric morbidity.
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