Yuan Yuan1,2,3, Bo Zhou1,2, Kundi Wang3, Yunfeng Wang3, Zhixin Zhang4, Wenquan Niu5. 1. Graduate School, Beijing University of Chinese Medicine, Beijing, China. 2. International Medical Services, China-Japan Friendship Hospital, Beijing, China. 3. Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China. 4. International Medical Services, China-Japan Friendship Hospital, Beijing, China. zhangzhixin032@163.com. 5. Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, China. niuwenquan_shcn@163.com.
Abstract
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.
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.
Entities:
Keywords:
Nomogram; Pre-shortness; Predictor; Preschool-aged children; Short stature
Authors: Nina Mendez; The Late Mario Barrera-Pérez; Marco Palma-Solis; Jorge Zavala-Castro; Federico Dickinson; Hugo Azcorra; Michael Prelip Journal: J Biosoc Sci Date: 2015-06-04
Authors: Mohammad I El Mouzan; Abdullah S Al Herbish; Abdullah A Al Salloum; Peter J Foster; Ahmad A Al Omer; Mansour M Qurachi Journal: Ann Saudi Med Date: 2011 Sep-Oct Impact factor: 1.526