Ontology highlight
ABSTRACT: Background
Child malnutrition places a major burden on global public health. We aimed to estimate the prevalence of child malnutrition and identify its potential factors among children aged 3-14 years from Beijing and Tangshan.Methods
We cross-sectionally recruited 18,503 children aged 3-14 years from September 2020 to January 2022, according to a stratified cluster random sampling strategy. Child malnutrition was defined according to the World Health Organization criteria. Data were analyzed by STATA software and R language.Results
The prevalence of malnutrition among 18,503 children was 10.93%. After multivariable adjustment, seven factors significantly associated with child malnutrition were parental education (adjusted odds ratio, 95% confidence interval, p</
SUBMITTER: Zhang X
PROVIDER: S-EPMC10750408 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature