1. Development of prediction model for risks of musculoskeletal chronic lumbopelvic pain in Indian women
- Author
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Jasmine Kaur Chawla, Priyanka Sushil, Pragya Kumar, Manish Singh, and Roshani Sharma
- Subjects
Chronic lumbopelvic pain ,Indian women ,Prediction model ,Risk factors ,Medicine ,Science - Abstract
Abstract Chronic lumbopelvic pain (CLPP) and its associated disabilities significantly affect women's social, professional, and personal lives. However, the specific factors contributing to CLPP in women remain unclear. To address this gap, this prospective cross-sectional study aims to identify the risk factors predicting CLPP in women and develop a prediction model that can predict CLPP in women. The study was conducted across Delhi, India, where free health camps were held, and 2400 women were assessed. Among the assessed individuals, the study revealed a high prevalence rate of CLPP among Indian women, standing at 70.4%. Seven risk factors namely, hamstring muscle tightness (> 20° on passive knee extension test), increased lumbar lordosis (> 11.5 cm of the lumbar lordotic index), reduced hip flexibility (> 15 cm on bent knee fallout test), altered foot posture (≥ 20 on foot posture index score), increased perception of psychological stress (> 25 on cohen’s perceived stress scale-10 score), reduced physical activity level (
- Published
- 2024
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