BibTex Citation Data :
@article{dmj54744, author = {Anes Widya Ningsih and Attiya Istarini and Miftahurrahmah Miftahurrahman}, title = {BODY HEIGHT ESTIMATION USING FEMORAL LENGTH AMONG THE 2022–2024 COHORT OF MEDICAL AND HEALTH SCIENCES STUDENTS AT JAMBI UNIVERSITY}, journal = {Jurnal Kedokteran Diponegoro (Diponegoro Medical Journal)}, volume = {15}, number = {3}, year = {2026}, keywords = {Anthropometry, Correlation, Height, Linear Regression, Os Femur.}, abstract = { Background: Estimation of body height using femoral length is widely applied in forensic and clinical anthropometry, particularly when direct height measurement is not possible. Although femoral length is a reliable predictor of stature, the accuracy of estimation models depends on population-specific anthropometric characteristics, highlighting the need for local formulas. Objective: This study analyzed the correlation between femur length and body height and developed height estimation models among Jambi University students (2022–2024). Methods: This analytical cross-sectional study was conducted at the Faculty of Medicine and Health Sciences, Jambi University, from September to November 2025. Samples were selected using purposive sampling (minimum n = 95, Slovin’s formula). Femur length and body height were measured percutaneously using a standardized measuring tape and microtoise. BMI, physical activity level (IPAQ-SF), and anthropometric race were recorded. Data were analyzed using Pearson correlation, One-Way ANOVA, and simple linear regression. Results: Femur length was moderately correlated with body height in males (r = 0.599), females (r = 0.598), and the overall sample (r = 0.550; p < 0.001). No significant differences in mean femur length were observed across BMI, physical activity, or anthropometric race groups, and height estimation models were developed. Conclusion: Femur length is significantly correlated with body height and can be used for height estimation using gender-specific regression formulas. BMI, physical activity level, and anthropometric race showed no significant differences in mean femur length; further studies with balanced sub-ethnic samples are recommended. }, issn = {2540-8844}, pages = {252--261} doi = {10.14710/dmj.v15i3.54744}, url = {https://ejournal3.undip.ac.id/index.php/medico/article/view/54744} }
Refworks Citation Data :
Background: Estimation of body height using femoral length is widely applied in forensic and clinical anthropometry, particularly when direct height measurement is not possible. Although femoral length is a reliable predictor of stature, the accuracy of estimation models depends on population-specific anthropometric characteristics, highlighting the need for local formulas. Objective: This study analyzed the correlation between femur length and body height and developed height estimation models among Jambi University students (2022–2024). Methods: This analytical cross-sectional study was conducted at the Faculty of Medicine and Health Sciences, Jambi University, from September to November 2025. Samples were selected using purposive sampling (minimum n = 95, Slovin’s formula). Femur length and body height were measured percutaneously using a standardized measuring tape and microtoise. BMI, physical activity level (IPAQ-SF), and anthropometric race were recorded. Data were analyzed using Pearson correlation, One-Way ANOVA, and simple linear regression. Results: Femur length was moderately correlated with body height in males (r = 0.599), females (r = 0.598), and the overall sample (r = 0.550; p < 0.001). No significant differences in mean femur length were observed across BMI, physical activity, or anthropometric race groups, and height estimation models were developed. Conclusion: Femur length is significantly correlated with body height and can be used for height estimation using gender-specific regression formulas. BMI, physical activity level, and anthropometric race showed no significant differences in mean femur length; further studies with balanced sub-ethnic samples are recommended.
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