METHODS: This study was conducted with National Health Insurance Corporation data from 2014 to 2019. A total of 848,058 people were diagnosed with SMI in this period, and the same number of controls were established by matching by sex and age. A descriptive analysis was conducted on the sociodemographic characteristics of patients with SMI. Conditional logistic regression analysis was performed to identify the associations between comorbid physical disease in patients with SMI and those of the general population. SAS Enterprise Guide 7.1 (SAS Inc, Cary, NC, USA) were used to perform all statistical tests.
RESULTS: The analysis revealed significant differences in medical insurance, income level, and Charlson Comorbidity Index weighted by chronic physical disease, between patients with SMI and the general population. Conditional logistic regression analysis between the two groups also revealed significant differences in eight chronic physical diseases except hypertensive disease.
CONCLUSIONS: This study confirmed the vulnerability of patients with SMI to chronic physical diseases and we were able to identify chronic physical disease that were highly related to patients with SMI.
方法:本研究使用2014年至2019年的国家健康保险公司数据进行。在此期间,共有848,058人被诊断为SMI,通过按性别和年龄进行匹配,建立了相同数量的对照。对SMI患者的社会人口统计学特征进行了描述性分析。进行条件逻辑回归分析,以确定SMI患者与普通人群合并症之间的关联。SAS企业指南7.1(SASInc,凯里,NC,美国)用于进行所有统计检验。
结果:分析显示医疗保险存在显著差异,收入水平,和Charlson合并症指数按慢性躯体疾病加权,在SMI患者和普通人群之间。两组之间的条件logistic回归分析还显示,除高血压疾病外,八种慢性躯体疾病均存在显着差异。
结论:这项研究证实了SMI患者对慢性躯体疾病的易感性,我们能够识别出与SMI患者高度相关的慢性躯体疾病。