ArticleEndocrine2021
Identification of contributing predictors for short stature and pre-shortness among 7310 Chinese preschool-aged children.
Article in Endocrine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 3 citations in OpenAlex.
- Population characteristics of children with short stature and construction of a predictive model for growth hormone treatment efficacy.Frontiers in medicine · 2026Article
- [Attaching great importance to the scientific assessment of short stature in children].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2023Article
- Identification and characterization of factors associated with short stature and pre-shortness in Chinese preschool-aged children.Endocrine connections · 2021Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposesWe aimed to identify the contributing predictors for short stature and pre-shortness in Chinese preschool-aged children, and further to construct nomogram prediction models.
methodsA large cross-sectional, kindergarten-based study was conducted during September-November, 2019 in Beijing. Utilizing a stratified random sampling method, total 20 kindergartens with 7310 children with complete data were eligible for analysis.
resultsThe prevalence of short stature and pre-shortness was 3.0% (n = 222) and 11.6% (n = 848), respectively. Six contributing predictors were significantly associated with short stature, including parental height (odds ratio, 95% confidence interval, P: 0.773, 0.69-0.86, <0.001), maternal height (0.723, 0.64-0.82, <0.001), birthweight (0.826, 0.74-0.92, 0.001), birth height (0.831, 0.69-1.00, 0.046), children body mass index (1.204, 1.43-1.82, <0.001), and maternal age at menarche (1.614, 1.43-1.82, <0.001). Seven significant contributing predictors were found for pre-shortness, including parental height (0.805, 0.76-0.85, <0.001), maternal height (0.821, 0.77-0.87, <0.001), birthweight (0.881, 0.83-0.93, <0.001), birth height (0.86, 0.78-0.95, 0.003), gestational weight gain (0.851, 0.77-0.94, 0.002), children body mass index (1.142, 1.05-1.24, 0.002), and chronic disease (4.016, 1.66-9.70, 0.002). The nomogram models for short stature and pre-shortness had descent prediction accuracies.
conclusionsOur findings indicate that short stature is predominantly determined by inherited and natal factors, and pre-shortness is additionally by modifiable factors.
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