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| Formato: | Recurso digital |
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| Publicado: |
Zenodo
2019
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| Acceso en línea: | https://doi.org/10.5281/zenodo.17095170 |
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- <p></p> <p>This study develops a predictive model for postural deformities among 1,200 school children (ages 11–15) in northern India, using binary logistic regression analysis. Based on lifestyle and demographic variables, six significant predictors were identified: age, weight, region, school furniture comfort, frequent health problems, and lack of awareness about posture. The model demonstrated 82.3% classification accuracy, indicating strong potential for early identification and intervention in postural health among school-aged populations.</p> <p><strong>Keywords</strong>: Postural Deformities, Logistic Regression, School Children, Lifestyle Factors, Northern India, Predictive Modeling</p> <p></p>