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

Shaojun Huang1, Zhiqi Chen1, Rongping Chen1

  • 1Department of Endocrinology, Zhujiang Hospital, Southern Medical University, Guangzhou, China.

Frontiers in Pediatrics
|December 23, 2022
PubMed

Insights

This study identified key risk factors for childhood short stature, including parental height and socioeconomic status. A predictive model was developed to classify children into low-risk and high-risk groups for better assessment.

Area of Science:

  • Pediatrics
  • Public Health
  • Genetics

Background:

  • Childhood short stature is a significant global health concern.
  • Identifying risk factors is crucial for early intervention and management.
  • Previous studies have explored various contributing factors to short stature.

Purpose of the Study:

  • To analyze risk factors associated with short stature in children.
  • To develop a clinical prediction model for short stature.
  • To establish a risk classification system for individualized assessment.

Main Methods:

  • A cross-sectional study involving 12,504 children aged 6-14 years.
  • Physical examinations for height and weight measurements.
  • Propensity score matching (PSM) analysis adjusted for age, selecting 1,076 children for risk factor analysis.

Main Results:

  • The prevalence of short stature was 4.3% in the study population.
  • Significant risk factors included parental height, family income, father's education, and parental concern.
  • A nomogram prediction model demonstrated good discrimination (AUC=0.748) and accuracy.

Conclusions:

  • Risk factors for childhood short stature have been identified and analyzed.
  • A validated nomogram prediction model and risk classification system can aid in screening and assessment.
  • This approach supports individualized risk stratification for children with short stature.
Abstract

Keywords:
childrennomogram prediction modelrisk classification systemrisk factorsshort stature

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