Environmental and birth characteristics as predictors of short stature in early childhood

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

BACKGROUND

Short stature in children is an important global health issue. This study aimed to analyze the risk factors associated with short stature and to construct a clinical prediction model and risk classification system for short stature.

METHODS

This cross-sectional study included 12,504 children aged 6-14 years of age from 13 primary and secondary schools in Pingshan District, Shenzhen. A physical examination was performed to measure the height and weight of the children. Questionnaires were used to obtain information about children and their parents, including sex, age, family environment, social environment, maternal conditions during pregnancy, birth and feeding, and lifestyle. The age confounding variable was adjusted through a 1 : 1 propensity score matching (PSM) analysis and 1,076 children were selected for risk factor analysis.

RESULTS

The prevalence of short stature in children aged 6-14 years was 4.3% in the Pingshan District, Shenzhen. The multivariate logistic regression model showed that the influencing factors for short stature were father's height, mother's height, annual family income, father's level of education and parents' concern for their children's height in the future (P < 0.05). Based on the short stature multivariate logistic regression model, a short stature nomogram prediction model was constructed. The area under the ROC curve (AUC) was 0.748, indicating a good degree of discrimination of the nomogram. According to the calibration curve, the Hosmer-Lemesio test value was 0.917, and the model was considered to be accurate. Based on a risk classification system derived from the nomogram prediction model, the total score of the nomogram was 127.5, which is considered the cutoff point to divides all children into low-risk and high-risk groups.

CONCLUSION

This study analyzed the risk factors for short stature in children and constructed a nomogram prediction model and a risk classification system based on these risk factors, as well as providing short stature screening and assessment individually.

Identification and characterization of factors associated with short stature and pre-shortness in Chinese preschool-aged children

OBJECTIVES

We aimed to identify and characterize potential factors, both individually and jointly as a nomogram, associated with short stature and pre-shortness in Chinese preschool-aged children.

METHODS

Total of 9501 children aged 3-6 years were recruited from 30 kindergartens in Beijing and Tangshan from September to December 2020 using a stratified random sampling method. Effect-size estimates are expressed as odds ratio (OR) and 95% CI.

RESULTS

The prevalence of short stature and pre-shortness in preschool-aged children was 3.9% (n = 375) and 13.1% (n = 1616), respectively. Factors simultaneously associated with the significant risk for short stature, pre-shortness and both included BMI, paternal height, maternal height, birth weight, birth height, latter birth order (≥2) and less parental patience to children. Besides, breastfeeding duration (≥12 months) was exclusively associated with pre-shortness (OR, 95% CI, P: 1.16, 1.01 to 1.33, 0.037), and childhood obesity with both short stature (3.45, 2.62 to 4.54, <0.001) and short stature/pre-shortness (1.37, 1.15 to 1.64, <0.001). Modeling of significant factors in nomograms had descent prediction accuracies, with the C-index being 77.0, 70.1 and 71.2% for short stature, pre-shortness and both, respectively (all P < 0.001).

CONCLUSIONS

Our findings indicate the joint contribution of inherited characteristics, nutrition status from the uterus to childhood, and family psychological environment to short stature and pre-shortness in Chinese preschool-aged children. Further validation in other independent groups is warranted.

Identification of contributing predictors for short stature and pre-shortness among 7310 Chinese preschool-aged children

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.