highly significantp<0.05
Manual forward selection, starting with variables that were more strongly associated with prevalence in univariable analyses, was applied and variables were retained in the multivariable model if p<0.2.The variables that were highly significant (p<0.05) in multivariable meta-regression model were considered as building blocks for interaction terms.