Zhu Guiqing, Yi Zelin, Zheng Ting, Li Yulin, Wu Yinghua
School of Medicine and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Affiliated Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Medicine (Baltimore). 2025 May 9;104(19):e42375. doi: 10.1097/MD.0000000000042375.
This study analyzes the distribution characteristics of traditional Chinese medicine (TCM) syndrome types in patients with insomnia and investigate the association between different factors and the distribution of the TCM syndrome types as well as the possible factors affecting this distribution. A retrospective analysis of the data from 468 insomnia patients was conducted. The association between different factors, such as gender, age, occupation, and the distribution of the TCM syndrome types, was evaluated using the Kruskal-Wallis H test, Chi-square test, and Fisher's exact probability method. The potential factors affecting yin-yang syndrome insomnia were analyzed using binary logistic regression. The results of the TCM syndrome type distribution indicated that yin syndrome (69.9%) was significantly more common than yang syndrome (30.1%), among which the heart-spleen deficiency type (31.6%) was the most common. Age, occupation, hypertension, the presence or absence of children, and history of diabetes were significantly different among the different TCM syndrome types. The logistic regression analysis revealed that occupation (odds ratio [OR] = 2.099, 95% confidence interval [CI]: 1.356-3.251), offspring status (OR = 9.034, 95% CI: 1.181-69.085), diabetes status (OR = 2.202, 95% CI: 1.236-3.922), and gender (OR = 1.564, 95% CI: 1.009-2.423) were influencing factors of yang syndrome insomnia. This study revealed the correlation between the distribution of the TCM syndrome types of insomnia patients and age, occupation, hypertension, having offspring, a history of diabetes, especially other occupations, having children, a history of diabetes, and male gender were risk factors for yang syndrome insomnia.
本研究分析失眠患者中医证型的分布特征，探讨不同因素与中医证型分布之间的关联以及影响这种分布的可能因素。对468例失眠患者的数据进行回顾性分析。采用Kruskal-Wallis H检验、卡方检验和Fisher确切概率法评估性别、年龄、职业等不同因素与中医证型分布之间的关联。采用二元逻辑回归分析影响阴阳证型失眠的潜在因素。中医证型分布结果显示，阴证（69.9%）明显多于阳证（30.1%），其中心脾两虚型（31.6%）最为常见。不同中医证型在年龄、职业、高血压、有无子女及糖尿病史方面存在显著差异。逻辑回归分析显示，职业（比值比[OR]=2.099，95%置信区间[CI]：1.356 - 3.251）、子女状况（OR=9.034，95% CI：1.181 - 69.085）、糖尿病状况（OR=2.202，95% CI：1.236 - 3.922）和性别（OR=1.564，95% CI：1.009 - 2.423）是阳证型失眠的影响因素。本研究揭示了失眠患者中医证型分布与年龄、职业、高血压、有无子女、糖尿病史之间的相关性，尤其是其他职业、有子女、糖尿病史及男性是阳证型失眠的危险因素。
