Prevalence of All-Cause Mortality and Suicide among Bariatric Surgery Cohorts: A Meta-Analysis.

INTRODUCTION: Prior meta-analysis has reported mortality rates among post-operative bariatric patients, but they have not considered psychiatric factors like suicide contributing to mortality. OBJECTIVES: The current meta-analysis aims to determine the pooled prevalence for mortality and suicide amongst cohorts using reported suicides post bariatric surgery. It is also the aim of the current meta-analytical study to determine moderators that could account for the heterogeneity found. RESULTS: In our study, the pooled prevalence of mortality in the studies which reported suicidal mortality was 1.8% and the prevalence of suicide was 0.3%. Mean body mass index (BMI) and the duration of follow-up appear to be significant moderators. CONCLUSIONS: Given the prevalence of suicide post bariatric surgery, it is highly important for bariatric teams to consider both the medical and psychiatric well-being of individuals pre- and post-operatively.

Prevalence of Internet Addiction in Medical Students: a Meta-analysis.

OBJECTIVE: With the development of online learning, communication, and entertainment, the Internet has become an indispensable tool for university students. Internet addiction (IA) has emerged as a health problem and the prevalence of IA varies from country to country. To date, the global prevalence of IA in medical students remains unknown. The objective of this meta-analysis was to establish precise estimates of the prevalence of IA among medical students in different countries. METHODS: The pooled prevalence of IA among medical students was determined by the random-effects model. Meta-regression and subgroup analysis were performed to identify potential factors that could contribute to heterogeneity. RESULTS: The pooled prevalence of IA among 3651 medical students is 30.1% (95% confidence interval (CI) 28.5-31.8%, Z = -20.66, df = 9, τ 2 = 0.90) with significant heterogeneity (I 2 = 98.12). Subgroup analysis shows the pooled prevalence of IA diagnosed by the Chen's Internet Addiction Scale (CIAS) (5.2, 95% CI 3.4-8.0%) is significantly lower than Young's Internet Addiction Test (YIAT) (32.2, 95% CI 20.9-45.9%) (p < 0.0001). Meta-regression analyses show that the mean age of medical students, gender proportion and the severity of IA are not significant moderators. CONCLUSIONS: In conclusion, this meta-analysis identified the pooled prevalence of IA among medical students is approximately five times than that of the general population. Age, gender, and severity of IA did not account for high heterogeneity in prevalence, but IA assessment questionnaire was a potential source of heterogeneity. Given the high prevalence of IA, medical teachers and medical school administrators should identify medical students who suffer from IA and refer them for intervention.