Analysis of risk factors and construction of a prediction model for short stature in children.

ABSTRACT:

Background

Short stature in children is an important global health issue. This study aimed to analyze the risk factors associated with short stature and to construct a clinical prediction model and risk classification system for short stature.

Methods

This cross-sectional study included 12,504 children aged 6-14 years of age from 13 primary and secondary schools in Pingshan District, Shenzhen. A physical examination was performed to measure the height and weight of the children. Questionnaires were used to obtain information about children and their parents, including sex, age, family environment, social environment, maternal conditions during pregnancy, birth and feeding, and lifestyle. The age confounding variable was adjusted through a 1 : 1 propensity score matching (PSM

SUBMITTER: Huang S 

PROVIDER: S-EPMC9763591 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature