Kentaro Iwata, Asako Doi, Chisato Miyakoshi
Was school closure effective in mitigating coronavirus disease 2019 (COVID-19)? Time series analysis using Bayesian inference
International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases
psychiatric patients increased risk overweight obese subsequently develop metabolic syndrome nevertheless data regarding associated factors weight gain limited inconsistent present study aimed determine risk metabolic syndrome associated factors among psychiatric patients crosssectional quantitative study conducted among psychiatric patients psychiatric unit university gondar comprehensive specialized hospital march 1 april 1 2018 eligible psychiatric patients interviewed sociodemographic statusand clinical characteristics useful parameters study recorded medical records patients measuring waist height ratio descriptive statistics used summarize baseline informationbinary logistic regression used determine associated factors pvalue 005 confidence interval ci 95 used cut points determining statistical significance 300 patients included study 16856 patients femalesand around 503 study participants low literacy levels per waist height ratio scale 58 174 patients risk metabolic syndrome binary logistic regression analysis indicated sex p00001 occupation p 0032 marital status p0006 distance hospital p00001 statistically significant determinants metabolic syndrome risk psychiatric patient setting majority psychiatric patients study setting risk metabolic syndrome sex marital status employment status distance hospital significantly associated metabolic syndrome routine physical laboratory investigations detect metabolic syndrome indispensable psychiatric patients prevent cardiovascular complications