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1- Corrective exercises and sport injury, Department of Physical Education and Sport Science, Islamic Azad University, Kraj, Iran.
2- Physician, School of Medicine, Qazvin University of Medical Sciences, Qazvin, Iran.
3- Department of Community Medicine, School of Medicine, Qazvin University of Medical Sciences, Qazvin, Iran.
4- Department of Anatomical Sciences, Faculty of Medicine, Qazvin University of Medical Sciences, Qazvin, Iran.
2- Physician, School of Medicine, Qazvin University of Medical Sciences, Qazvin, Iran.
3- Department of Community Medicine, School of Medicine, Qazvin University of Medical Sciences, Qazvin, Iran.
4- Department of Anatomical Sciences, Faculty of Medicine, Qazvin University of Medical Sciences, Qazvin, Iran.
Abstract: (4 Views)
Objective: Assessing the association between height and anthropometric measurements during childhood is essential for evaluating growth patterns and developing accurate predictive models. This study sought to explore the associations between height and anthropometric variables in children from Qazvin, Iran.
Methods: A cross-sectional study was conducted in 2025 involving 200 boys and girls. Sex-based differences in anthropometric measurements were analyzed using the Mann-Whitney U test. Multiple linear regression models were employed to determine independent predictors of height, with multicollinearity assessed using principal component analysis (PCA). A significance level of p < 0.05 was applied.
Results: Girls displayed higher skinfold thicknesses, girths, body fat percentage, and fat mass (all p < 0.001), while boys showed a higher cormic index (p = 0.005). Regression analysis identified sitting height (β = 0.712, p < 0.001), age (β = 0.284, p < 0.001), calf girth (β = 0.094, p = 0.032), and waist girth (β = 0.085, p = 0.029) were significant positive predictors of height in girls, whereas humerus breadth (β = 0.472, p < 0.001), age (β = 0.323, p < 0.001), and sitting height (β = 0.278, p < 0.001) emerged as the key predictors in boys. Arm relax was a significant negative predictor (β = -0.134, p = 0.007) of height in both sexes. PCA revealed that overall body size strongly correlated with height in both groups (girls: β = 0.892, p < 0.001, R² = 0.795; boys: β = 0.908, p < 0.001, R² = 0.825).
Conclusion: Height is mainly determined by trunk length, body size and age, with sex-specific influences. The high collinearity among anthropometric variables suggests a common underlying size factor, advocating for PCA sensitivity analyses to enhance the multivariable model’s interpretation.
Methods: A cross-sectional study was conducted in 2025 involving 200 boys and girls. Sex-based differences in anthropometric measurements were analyzed using the Mann-Whitney U test. Multiple linear regression models were employed to determine independent predictors of height, with multicollinearity assessed using principal component analysis (PCA). A significance level of p < 0.05 was applied.
Results: Girls displayed higher skinfold thicknesses, girths, body fat percentage, and fat mass (all p < 0.001), while boys showed a higher cormic index (p = 0.005). Regression analysis identified sitting height (β = 0.712, p < 0.001), age (β = 0.284, p < 0.001), calf girth (β = 0.094, p = 0.032), and waist girth (β = 0.085, p = 0.029) were significant positive predictors of height in girls, whereas humerus breadth (β = 0.472, p < 0.001), age (β = 0.323, p < 0.001), and sitting height (β = 0.278, p < 0.001) emerged as the key predictors in boys. Arm relax was a significant negative predictor (β = -0.134, p = 0.007) of height in both sexes. PCA revealed that overall body size strongly correlated with height in both groups (girls: β = 0.892, p < 0.001, R² = 0.795; boys: β = 0.908, p < 0.001, R² = 0.825).
Conclusion: Height is mainly determined by trunk length, body size and age, with sex-specific influences. The high collinearity among anthropometric variables suggests a common underlying size factor, advocating for PCA sensitivity analyses to enhance the multivariable model’s interpretation.
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