Li Miaoyuan, Yan Xuewen, Wu Rongshun, Liao Yanting, Zhang Jing, Ye Yufang, Xu Chenxia
The First Clinical Medical College of Jinan University, Guangzhou, 510280, People's Republic of China.
Department of Urology, Zhongshan People's Hospital, Zhongshan, 528400, People's Republic of China.
Int J Womens Health. 2025 Jun 28;17:1887-1895. doi: 10.2147/IJWH.S527620. eCollection 2025.
This study aimed to compare the prevalence of sarcopenia between postmenopausal and premenopausal women and evaluate the diagnostic performance of various screening methods combining anthropometric measurements and functional assessments.
A total of 1630 women (794 postmenopausal, 836 premenopausal) were included. Data on upper arm circumference (AC), calf circumference (CC), and SARC-F questionnaire scores were collected. ROC curve analysis was performed to assess the sensitivity, specificity, and accuracy of individual and combined diagnostic models.
The overall prevalence of sarcopenia was 6.44%, with a higher prevalence in postmenopausal women (7.43%) than in premenopausal women (5.50%). Sarcopenic individuals had lower BMI and poorer functional performance. Among postmenopausal women, the SARC-F + CC combination demonstrated the highest diagnostic accuracy (AUC = 91.2), while in premenopausal women, the SARC-F + AC model was most effective (AUC = 85.53). The SARC-F + CC combination showed the best sensitivity (89.0%) and specificity (75.0%) across all participants.
Sarcopenia is more prevalent in postmenopausal women, with menopause identified as a key risk factor. Combining SARC-F with calf circumference enhances diagnostic accuracy and is recommended for early screening in primary healthcare settings to facilitate timely interventions and improve patient outcomes.
本研究旨在比较绝经后女性和绝经前女性肌肉减少症的患病率,并评估结合人体测量学和功能评估的各种筛查方法的诊断性能。
共纳入1630名女性(794名绝经后女性,836名绝经前女性)。收集上臂围(AC)、小腿围(CC)和SARC-F问卷得分的数据。进行ROC曲线分析以评估个体和联合诊断模型的敏感性、特异性和准确性。
肌肉减少症的总体患病率为6.44%,绝经后女性的患病率(7.43%)高于绝经前女性(5.50%)。肌肉减少症患者的体重指数较低,功能表现较差。在绝经后女性中,SARC-F + CC组合显示出最高的诊断准确性(AUC = 91.2),而在绝经前女性中,SARC-F + AC模型最有效(AUC = 85.53)。SARC-F + CC组合在所有参与者中显示出最佳的敏感性(89.0%)和特异性(75.0%)。
肌肉减少症在绝经后女性中更为普遍,绝经被确定为一个关键风险因素。将SARC-F与小腿围相结合可提高诊断准确性,建议在基层医疗环境中进行早期筛查,以便及时干预并改善患者预后。