Published in:
01-02-2021 | Original Article
Identification of contributing predictors for short stature and pre-shortness among 7310 Chinese preschool-aged children
Published in: Endocrine | Issue 2/2021
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Purposes
We aimed to identify the contributing predictors for short stature and pre-shortness in Chinese preschool-aged children, and further to construct nomogram prediction models.
Methods
A 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.
Results
The 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.
Conclusions
Our findings indicate that short stature is predominantly determined by inherited and natal factors, and pre-shortness is additionally by modifiable factors.