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印度女性肌肉骨骼慢性腰骶部疼痛风险预测模型的建立。

Development of prediction model for risks of musculoskeletal chronic lumbopelvic pain in Indian women.

机构信息

Department of Physiotherapy, School of Allied Health Sciences, Manav Rachna International Institute of Research and Studies, Faridabad, Haryana, 121004, India.

Department of Physiotherapy, Amity Institute of Health Allied Sciences, Amity University, Noida, Uttar Pradesh, 201303, India.

出版信息

Sci Rep. 2024 Sep 29;14(1):22566. doi: 10.1038/s41598-024-69063-6.

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 (< 475 metabolic/minute on international physical activity questionnaire) and reduced performance of transversus abdominis muscle (≤ 5 on deep muscle contraction scale score) strongly predict the risks of CLPP in women. Identifying these risk factors is crucial for effectively preventing and managing CLPP symptoms, especially considering its high prevalence among Indian women. Health professionals should prioritize raising awareness about CLPP and its causative factors, as well as implementing strategies for early detection and intervention.

摘要

慢性腰骶骨盆疼痛(CLPP)及其相关残疾严重影响了女性的社会、职业和个人生活。然而,导致女性 CLPP 的具体因素仍不清楚。为了填补这一空白,本前瞻性横断面研究旨在确定预测女性 CLPP 的风险因素,并建立一个可以预测女性 CLPP 的预测模型。该研究在印度德里进行,在那里举办了免费的健康营地,评估了 2400 名女性。在评估的个体中,研究显示印度女性 CLPP 的患病率很高,达到 70.4%。七个风险因素,包括腘绳肌紧张(被动膝关节伸展试验时>20°)、腰椎前凸增加(腰椎前凸指数>11.5cm)、髋关节灵活性降低(屈膝下落试验时>15cm)、足姿改变(足姿指数评分≥20)、心理压力感知增加(Cohen 感知压力量表-10 评分>25)、身体活动水平降低(国际体力活动问卷<475 代谢/分钟)和腹横肌功能降低(深部肌肉收缩评分≤5),强烈预测女性 CLPP 的风险。确定这些风险因素对于有效预防和管理 CLPP 症状至关重要,尤其是考虑到印度女性中 CLPP 的高患病率。卫生专业人员应优先提高对 CLPP 及其致病因素的认识,并实施早期检测和干预策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0224/11439922/94b4b5059175/41598_2024_69063_Fig1_HTML.jpg

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