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Non-alcoholic fatty liver disease (NAFLD) is found in one-fourth of the world population and its prevalence is rising. Screening of NAFLD in general population with ultrasonography (USG) is not a cost- effective approach. Alternative methods for prediction of NAFLD are needed. We conducted this study to assess whether basal metabolic index (BMI), waist circumference (WC), waist height ratio (WHtR) is useful for predicting NAFLD. This study was done in a village of Comilla District, Bangladesh from July 2019 to December 2019. Two hundred and nineteen (219) subjects with NAFLD detected on USG and 100 healthy controls without NAFLD were included in this study. The diagnosis of NAFLD was made on the basis of USG by a radiologist. BMI, WC, WHtR were calculated. The area under the curve (AUC) in the receiver operating characteristic (ROC) was calculated to assess the diagnostic ability of BMI, WC, and WHtR for predicting NAFLD. Sensitivity and specificity with optimal cut-off point was calculated. Data were entered into SPSS16for statistical analysis. Mean age in NAFLD group was 45.11±13.50 years. The AUROC values were 0.832, 0.763 and 0.771 for BMI, WC and WHtR respectively. The Cut-off values were 24.4 for BMI, 75.60 for WC and 0.54 for WHtR. Sensitivity and specificity were 80.24%and 79.12% for BMI, 82.34% and 80.45% for WC, 79.56% and 78.98% for WHtR respectively. ROC for BMI, WC and WHtR were above the diagonal line with high sensitivity and specificity. BMI, waist circumference, waist height ratio is useful for predicting NAFLD in rural Bangladeshi population. We can use these simple anthropometric indices as a screening tool for detection of NAFLD in primary health care set up.

Suicide is one of the important cause of death worldwide. The precise effect of childhood adversities as risk factors for the onset and persistence of suicidal behaviour are not well understood. A descriptive cross sectional study was carried out in the department of Psychiatry, Cumilla Medical College, Cumilla, Bangladesh. All cases were selected from patients attending at Cumilla Medical College hospital and Private Hospitals in Cumilla City from April 2017 to September 2018. We found out the association between childhood adversities and suicidal behaviour over the life course and delineated the types of suicidal behavior. Total 120 cases were included in the study. Respondents provided socio-demographic and diagnostic information, childhood adversities as well as an account of suicide-related thoughts and behaviours. A participation rate was 77.5% female. Of 120 suicidal behavior participants physical abuse was 2.5%, sexual abuse was 16.67%, parental death was 5%, parental divorce was 2.5%, other parental loss was 4.17%, family violence was 5%, physical illness was 1.67%, financial adversity was 3.33% and composite adversity was 59.16%. Among childhood adversities participants suicidal ideation was 70%, suicidal plans was 15.83%, suicidal attempts was 45%, ideators only proceeded to plans was 22.5%, ideation to attempt was 63.33%, planned attempts was 10.83% and impulsive attempts was 52.5%. Among suicidal behavior participant's psychiatric disorders were 65%. Where neurotic disorders were 17%, psychotic disorders were 13%, personality disorders were 44% and others disorder was 26%. Most of the suicidal behavior patients were female 77.5% and age group of 18-24 years. Childhood sexual abuse emerged as a particularly robust risk factor for suicide attempts in younger participants. Childhood physical and sexual abuse emerged as risk factors for the emergence and persistence of suicidal behaviour, especially in adolescence. Two or more childhood adversities were associated with a three fold higher risk of lifetime suicide attempts. Childhood adversities are main risk factors for the onset and persistence of suicidal behaviour. The risks being are the greatest in childhood, adolescence and early adult. A longitudinal follow-up study is required to give a more reliable in Bangladesh.

Studies of the impact of mental disorders on educational attainment are rare. Mental disorders, those beginning in childhood or adolescence may increase the risk of early drop out from education. The latter has been shown to have adverse life-course consequences on individuals such as greater demand on social welfare entitlements. A descriptive cross sectional study was carried out at the department of Psychiatry, Comilla Medical College, Comilla, Bangladesh. All cases were selected from patients attending at Comilla Medical College Hospital and Private Mental Health Facilities in Comilla City from March 2015 to February 2016. We found out the psychiatric disorders and socio-demographic status of patients with educational drop out over the early life course. A total of 50 dropout patients aged 10 to 30 years who fullfiled the enrolment criteria included in the study. Sociodemographic questionnaires, diagnostic information (DSM-5 and ICD-10) as well as an account of a various level of education were used as research instruments. The Frequency tables, summary tables and appropriate graphs were prepared to describe the population characteristics and study finding. The most of the psychiatric morbidity presents in male (62%) and age group of 18-24 years (54%). In this study, anxiety disorders was 8%, behaviour/ impulse control disorders was 8%, mood disorders was 16%, substance use disorders was 24%, schizophrenia spectrum disorders was 12% and composite psychiatric disorders was 32%. Among drop out patient's non- completion of primary education was 14%, non-completion of secondary education was 20%, non- completion of higher secondary education was 24%, not entry to tertiary education was 12% and non-completion of tertiary education was 30%. Among behaviour/impulse control disorders non-completion of primary education was 6%, substance use disorders non-completion of higher secondary education was 10%, mood disorder both non-completion of higher secondary education and non-completion of tertiary education were 6%. Among composite psychiatric disorders non-completion of secondary education, non-completion of higher secondary education and non-completion of tertiary education were 8%, 6% and 12% respectively. Onset of mental disorders and subsequent drop out from education was found in this study. Further multi-centered prospective and population-based studies should be designed to find out the exact situation.