Wang Liqun, Li Jiangping, Dang Yuqi, Pan Ruiping, Niu Yang
Department of Epidemiology and Statistics, School of Public Health at Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China.
Key Laboratory of Environmental Factors and Chronic Disease Control, Ningxia Medical University, Yinchuan, Ningxia, People's Republic of China.
Diabetes Metab Syndr Obes. 2023 Jun 30;16:1977-1985. doi: 10.2147/DMSO.S409179. eCollection 2023.
Traditional Chinese medicine (TCM) has certain advantages in treating diabetes via TCM syndromes differentiation, and health-related behaviors can regulate TCM syndromes. This study aimed to identify the clusters of TCM syndromes in type 2 diabetes mellitus (T2DM) patients and to explore the association between health-related behaviors and those TCM syndromes clusters.
This was a cross-sectional study of 1761 T2DM patients from the Ningxia Province. The TCM syndromes (11 TCM syndromes in total) scale was used to collect the syndrome information. Health-related behaviors, including smoking, alcohol use, tea drinking, the intensity of physical activity, sleep quality, and sleep duration, were collected via a face-to-face interview questionnaire. Latent profile analysis was employed to identify clusters of 11 TCM syndromes. Multinomial logistic regression was employed to examine the relationships between health-related behaviors and clusters of TCM syndromes.
TCM syndromes in T2DM patients were classified into three profiles using latent profile analysis: light, moderate, and heavy. Participants with poor health-related behaviors were more likely to have heavy 1.49 (95% CI: 1.12, 1.99) or moderate 1.75 (95% CI: 1.10, 2.79) profiles than those with good health-related habits. Smokers, tea drinkers, and those with poor sleep quality were more likely to have a moderate profile and heavy profile than a light profile. Compared with heavy physical activity, moderate activity 0.24 (95% CI: 0.07, 0.88) was negatively associated with a heavy profile.
Results showed that most participants had light or moderate levels of TCM syndromes, and those with poor health-related behaviors were more likely to have heavy or moderate profiles. In the context of precision medicine, these results have important implications for understanding the prevention and treatment of diabetes via changing lifestyles and behaviors to regulate TCM syndromes.
中医在通过中医证候辨证治疗糖尿病方面具有一定优势,且健康相关行为可调节中医证候。本研究旨在识别2型糖尿病(T2DM)患者的中医证候聚类,并探讨健康相关行为与这些中医证候聚类之间的关联。
这是一项对来自宁夏的1761例T2DM患者的横断面研究。采用中医证候量表(共11种中医证候)收集证候信息。通过面对面访谈问卷收集健康相关行为,包括吸烟、饮酒、饮茶、体力活动强度、睡眠质量和睡眠时间。采用潜在类别分析识别11种中医证候的聚类。采用多项逻辑回归分析健康相关行为与中医证候聚类之间的关系。
通过潜在类别分析将T2DM患者的中医证候分为三种类型:轻度、中度和重度。与健康相关行为良好的参与者相比,健康相关行为较差的参与者更有可能具有重度类型(1.49,95%可信区间:1.12,1.99)或中度类型(1.75,95%可信区间:1.10,2.79)。吸烟者、饮茶者和睡眠质量差的人比轻度类型更有可能具有中度和重度类型。与高强度体力活动相比,中度活动(0.24,95%可信区间:0.07,0.88)与重度类型呈负相关。
结果显示,大多数参与者的中医证候为轻度或中度,健康相关行为较差的人更有可能具有重度或中度类型。在精准医学背景下,这些结果对于通过改变生活方式和行为来调节中医证候以理解糖尿病的预防和治疗具有重要意义。