Prevalence and characteristics of eating disorders among college students of a nonmetro city of Gujarat.

Context: There is a relative paucity of prevalence data about eating disorders (EDs) in India among young population. Aims: We aimed to estimate the prevalence and characteristics of EDs and abnormal eating behaviors among college students of a nonmetro city of Gujarat. Setting and Design: A cross-sectional survey was done among five colleges of a nonmetro city in Gujarat from February to September 2019. Subjects and Methods: Total 790 college students were assessed using a semi-structured format, Eating Attitudes Test-26, and Bulimic Investigatory Test Edinburgh followed by structured clinical interview as per DSM-5 criteria for EDs. Statistical Analysis: Outcomes were expressed in frequency, proportion, mean, and standard deviation. P values were calculated by Pearson Chi-square test or Fisher's exact test to determine the significance of the result. Results: The prevalence of abnormal eating behaviors was 25.2% (n = 199). Anorexia nervosa (AN) was not detected. The prevalence of bulimia nervosa (BN) was 0.2% and other specified feeding or eating disorder (OSFED) was 0.6%. "Being aware of calorie content" (53.7%) and "preoccupation with desire of thinness" (46.3%) were commonly found. "Impulse to vomit after meals" (2.5%) was least common. Lower body mass index was found among subjects with abnormal eating behavior. None of the subjects had amenorrhea. Conclusions: The prevalence of disordered eating behaviors, BN, and OSFED was 25.2%, 0.2%, and 0.6%, respectively. AN was not detected. OSFED was the most common ED and the characteristic "body image disturbance" was the most common symptom.

Predictors of problematic Internet use in school going adolescents of Bhavnagar, India.

BACKGROUND: Problematic Internet use (PIU) is the inability of individuals to control their Internet use, resulting in marked distress and/or functional impairment in daily life. AIM/OBJECTIVE: We assessed the frequency of PIU and predictors of PIU, including social anxiety disorder (SAD), quality of sleep, quality of life and Internet-related demographic variables among school going adolescents. METHODS: This was an observational, single-centered, cross-sectional, questionnaire-based study of 1,312 school going adolescents studying in Grades 10, 11 and 12 in Bhavnagar, India. Every participant was assessed by a pro forma containing demographic details, questionnaires of Internet Addiction Test (IAT), Social Phobia Inventory (SPIN), Pittsburgh Sleep Quality Index (PSQI) and Satisfaction With Life Scale (SWLS) for PIU severity, SAD severity, Quality of Sleep assessment and Quality of Life assessment, respectively. The statistical analysis was done with SPSS Version 23 (IBM Corporation) using chi-square test, Student's t test and Pearson's correlation. Multiple linear regression analysis was applied to find the predictors of PIU. RESULTS: We found frequency of PIUs as 16.7% and Internet addiction as 3.0% among school going adolescents. Participants with PIU are more likely to experience SAD ( p < .0001), poor quality of sleep ( p < .0001) and poor quality of life ( p < .0001). There is positive correlation between severity of PIU and SAD ( r = .411, p < .0001). Linear regression analysis shows PIU can be predicted by SAD, sleep quality, quality of life, English medium, male gender, total duration of Internet use, monthly cost of Internet use, education, social networking, gaming, online shopping and entertainment as purpose of Internet use. CONCLUSION: Participants with PIU are more likely to experience SAD, poor quality of sleep and poor quality of life.

Twelve-month prevalence and treatment gap for common mental disorders: Findings from a large-scale epidemiological survey in India.

BACKGROUND: Common mental disorders, such as mood, anxiety, and substance use disorders, are significant contributors to disability globally, including India. Available research is, however, limited by methodological issues and heterogeneities. AIM: The present paper focuses on the 12-month prevalence and 12-month treatment for anxiety, mood, and substance use disorders in India. MATERIALS AND METHODS: As part of the World Health Organization World Mental Health (WMH) Survey Initiative, in India, the study was conducted at eleven sites. However, the current study focuses on the household sample of 24,371 adults (≥18 years) of eight districts of different states, covering rural and urban areas. Respondents were interviewed face-to-face using the WMH Composite International Diagnostic Interview after translation and country-specific adaptations. Diagnoses were generated as per the International Classification of Diseases, 10th edition, Diagnostic Criteria for Research. RESULTS: Nearly 49.3% of the sample included males. The 12-month prevalence of common mental disorders was 5.52% - anxiety disorders (3.41%), mood disorders (1.44%), and substance use disorders (1.18%). Females had a relatively higher prevalence of anxiety and mood disorders, and lower prevalence of substance use disorders than males. The 12-month treatment for people with common mental disorders was 5.09% (range 1.66%-11.55% for individual disorders). The survey revealed a huge treatment gap of 95%, with only 5 out of 100 individuals with common mental disorders receiving any treatment over the past year. CONCLUSION: The survey provides valuable data to understand the mental health needs and treatment gaps in the Indian population. Despite the 12-month prevalence study being restricted to selected mental disorders, these estimates are likely to be conservative due to under-reporting or inadequate detection due to cultural factors.