Ni Jianping, Wang Xinqi, Fang Jun, Zhang Tao, Ni Man, Deng Yujie, Sun Xiaoya, Chen Yuting, Pan Faming
Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, Anhui Province, 230032, China.
The Key Laboratory of Major Autoimmune Diseases, Anhui Medical University, 81 Meishan Road, Hefei, Anhui, 230032, China.
Arch Dermatol Res. 2025 Mar 12;317(1):560. doi: 10.1007/s00403-025-04066-5.
This study aimed to evaluate the utilization of complementary and alternative medicine (CAM) among Chinese patients with inflammatory arthritis (IA), the types of CAM used, and the factors associated with its use. This cross-sectional study was conducted at the Department of Rheumatology and Immunology at the First Affiliated Hospital of Anhui Medical University. Data were collected from 503 IA patients using self-administered questionnaires and electronic medical records. Demographic, clinical, and disease activity data and pain, fatigue, emotion, and sleep quality assessments were analyzed. The study found that 50.3% of patients with IA used CAM, with herbal medicines and products being the most common therapies utilized by 74.3% of CAM users. CAM users reported significantly higher levels of fatigue, negative emotion states, and poorer sleep quality compared to non-users. Multivariate logistic regression analysis identified age, employment status, disease duration, IA family history, and disease activity as significant predictors of CAM use. This study revealed a high prevalence of CAM use among patients with IA in China. Healthcare professionals should enhance their understanding of CAM to inform and guide patients better and ensure the safe and effective integration of CAM therapies with conventional treatments.
本研究旨在评估中国炎症性关节炎(IA)患者对补充和替代医学(CAM)的使用情况、所使用的CAM类型以及与使用相关的因素。这项横断面研究在安徽医科大学第一附属医院风湿免疫科进行。通过自行填写问卷和电子病历从503例IA患者中收集数据。对人口统计学、临床和疾病活动数据以及疼痛、疲劳、情绪和睡眠质量评估进行了分析。研究发现,50.3%的IA患者使用CAM,其中草药和相关产品是最常用的疗法,74.3%的CAM使用者采用了此类疗法。与未使用者相比,CAM使用者报告的疲劳水平、负面情绪状态显著更高,睡眠质量更差。多因素逻辑回归分析确定年龄、就业状况、病程、IA家族史和疾病活动是CAM使用的重要预测因素。本研究揭示了中国IA患者中CAM使用的高流行率。医疗保健专业人员应加强对CAM的了解,以便更好地为患者提供信息和指导,并确保CAM疗法与传统治疗安全有效地结合。
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