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ORIGINAL RESEARCH article

Front. Public Health

Sec. Children and Health

Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1523626

Analysis of Growth and Development Levels and Influencing Factors in Children Aged 3-12 Years in a Certain Region: A Cross-Sectional Study

Provisionally accepted
Liping  GongLiping GongYufeng  SongYufeng SongJing  DuJing Du*Juan  LiangJuan Liang
  • Air Force Medical University, Xi'an, Shaanxi Province, China

The final, formatted version of the article will be published soon.

Objective: This multi-center cross-sectional study aims to analyze growth and development levels and identify factors influencing these parameters among children aged 3-12 years in multiple regions of China. Methods: A total of 4219 children (2231 males and 1988 females) were included from local schools and community centers across 10 regions. Physical measurements (height, weight, and BMI) and bone age (assessed by R-series and C-series methods) were recorded. Parental heights were used to predict genetic adult height. A structured questionnaire provided data on demographics, family medical history, and lifestyle factors. Statistical analyses included t-tests, Pearson's correlation, and multiple linear regression. Results: No significant sex differences were found in growth and development indices across age groups. Predicted adult height was higher in boys (176.17±104.77 cm) than in girls (169.06±7.13 cm). Age showed positive correlations with height (r= 0.400, P< 0.001), weight (r= 0.584, P< 0.001), and BMI (r= 0.699, P< 0.001). Father's height was positively correlated with child height (r= 0.106, P= 0.041). Multiple linear regression indicated that age, weight, BMI, father's height, and C-series bone age were significant predictors of child height (P< 0.001), with weight having the largest effect (β= 1.012). BMI and C-series bone age were significant predictors of weight (P< 0.001), while weight and height were significant predictors of BMI (P< 0.001). Conclusions: Growth and development in children are influenced by a combination of genetic, nutritional, and environmental factors. Understanding these influences can aid in developing targeted interventions to promote healthy growth patterns among children across diverse regions.

Keywords: child growth, development, Cross-sectional study, Influencing factors, Bone Body Mass Index (BMI), multi-center study

Received: 06 Nov 2024; Accepted: 25 Aug 2025.

Copyright: © 2025 Gong, Song, Du and Liang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Jing Du, Air Force Medical University, Xi'an, 710032, Shaanxi Province, China

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