Mariyamma Philip
Measurement and analysis of change in research scholars' knowledge and attitudes toward statistics after PhD coursework
BMC medical education
study aimed assess prevalence determinants common childhood illnesses subsaharan africa crosssectional study subsaharan africa under5 children common childhood illnesses secondary data analysis conducted using data recent demographic health survey datasets 33 subsaharan african countries used kids record dataset file included children age 5 years total weighted sample size 208 415 pooled appended data analysed stata v142 software used clean recode analyse data multilevel binary logistic regression model fitted adjusted 95 ci p value 005 used declare significantly associated factors check model fitness model comparison intracluster correlation coefficient median proportional change variance deviance 2 loglikelihood ratio used study prevalence common childhood illnesses among under5 children 5071 95 ci 4418 5724 large variation countries ranged sierra leone 2326 chad 8724 multilevel analysis rural residents mothers currently breast feeding educated mothers substandard floor material high community women education high community poverty positively associated common childhood illnesses subsaharan african countries hand children older age mothers children richest household children large family sizes media access electricity refrigerator improved toilets negatively associated prevalence common illnesses among under5 children relatively high subsaharan african countries individuallevel communitylevel factors associated problem improving housing conditions interventions improve toilets strengthening economic status family communities recommended reduce common childhood diseases