What type of study is this?

This is a Cross-Sectional Study study (also classified as: Quantitative Study).

October 20, 2025Journal of Medicine and Health ResearchOpen Access

Formulation of Regression Models for Stature Estimation Using Selected Anthropometric Variables

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Authors

FIFaustina Chiamaka IrozulikeRhema University HAHebinuchi AmadiRivers State University JUJohnson Agbai Ukwa

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Implication

Cross-sectional analysis reveals elbow height is less useful for estimating stature, while buttock-knee length and buttock-popliteal length are significant predictors.

Key Points

Buttock-knee length and buttock-popliteal length are reliable predictors of stature.
The regression models produced a correlation coefficient of 0.61 with an SEE of 6.411.
Significantly higher predictive accuracy was found in females compared to males.
Future research should include larger samples and additional anthropometric parameters to improve estimates.

Cite This Study

Irozulike et al. (2025) studied this question.

synapsesocial.com/papers/68f5a78aab63786de5b45e81 https://doi.org/10.56557/jomahr/2025/v10i29841

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Implication

Cross-sectional analysis reveals elbow height is less useful for estimating stature, while buttock-knee length and buttock-popliteal length are significant predictors.

Formulation of Regression Models for Stature Estimation Using Selected Anthropometric Variables

Discussion

Member takes

Implication

Key Points

Cite This Study

Formulation of Regression Models for Stature Estimation Using Selected Anthropometric Variables

Discussion

Member takes

Implication

Key Points

Cite This Study

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