社区精神分裂症患者代谢综合征影响因素分析
The influencing factors of metabolic syndrome in community patients with schizophrenia
投稿时间:2023-01-11  修订日期:2023-10-27
DOI:
中文关键词:  精神分裂症  代谢综合征  社区  健康体检  影响因素
英文关键词:Schizophrenia  Metabolic syndrome  Community  Health examination  Influencing factors
基金项目:广州市卫生健康科技项目(项目名称:广州市社区严重精神障碍患者代谢综合征患病率及其危险因素的流行病学调查,项目编号:20221A010028)
作者单位地址
范誉* 广州医科大学附属脑科医院 广东省广州市荔湾区明心路36号
钟少玲 广州医科大学附属脑科医院 
周亮 广州医科大学附属脑科医院 
苏敬华 广州医科大学附属脑科医院 
陈夕圆 广州医科大学附属脑科医院 
黄霄敏 广州医科大学附属脑科医院 
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中文摘要:
      背景 精神分裂症患者是罹患代谢综合征的高风险人群。既往关于代谢综合征影响因素的研究主要集中于住院精神分裂症患者,对社区精神分裂症患者的研究较少。 目的 探索广州市社区精神分裂症患者不同代谢风险层级的影响因素,为开展社区精神分裂症患者代谢综合征干预提供参考。方法 选取广州市精神卫生信息系统在册在管且完成2020年度健康体检的精神分裂症患者3 339例。从信息系统导出患者健康体检资料,采用中华医学会糖尿病学分会诊断标准评估患者是否罹患代谢综合征。根据精神分裂症患者代谢综合征管理的中国专家共识,将患者分为高风险组(n=423)、临界组(n=1 524)和代谢综合征组(n=1 392)。采用单因素分析及多元Logistic回归分析社区精神分裂症患者罹患代谢综合征的危险因素。结果 社区精神分裂症患者代谢综合征患病率为41.69%。单因素分析显示,三组在性别(χ2=44.610)、年龄(χ2=55.992)、婚姻状况(χ2=30.755)、病程(χ2=25.913)和体质量指数(χ2=829.265)方面差异均有统计学意义(P均<0.01)。Kruskal-Wallis H检验显示,三组患者腰围(H=920.331)、收缩压(H=436.673)、舒张压(H=393.337)、空腹血糖(H=807.304)、甘油三酯(H=1 134.125)、高密度脂蛋白胆固醇(H=593.615)水平差异均有统计学意义(P均<0.01)。Logistic回归分析显示,年龄≥50岁(OR=1.761,95% CI:1.087~2.853)、超重(OR=2.418,95% CI:1.862~3.140)和肥胖(OR=57.903,95% CI:14.340~233.802)是促使高风险人群成为临界人群的危险因素(P<0.05或0.01)。女性(OR=1.295,95% CI:1.034~1.622)、年龄40~49岁(OR=2.597,95% CI:1.582~4.263)、年龄≥50岁(OR=4.392,95% CI:2.609~7.395)、超重(OR=7.844,95% CI:6.018~10.223)和肥胖(OR=426.785,95% CI:105.724~1 722.839)是促使高风险人群成为代谢综合征人群的危险因素(P<0.05或0.01)。结论 社区精神分裂症患者代谢综合征患病率高,女性、年长、超重或肥胖是精神分裂症患者罹患代谢综合征的高风险因素。
英文摘要:
      Background People with schizophrenia is the high risk population of metabolic syndrome. Previous studies on the influencing factors of metabolic syndrome mainly focused on the inpatients, with limited researches on patients living in community. Objective To explore the influencing factors among different risk levels of metabolic syndrome in community patients with schizophrenia in Guangzhou and provide references for future interventions on metabolic syndrome in community schizophrenia patients. Methods A total of 3 339 patients with schizophrenia who were registered in Guangzhou Mental Health Information System and finished the physical examination in 2020 were included in the study. Patients’ physical examination data were extracted from this system and whether these patients had metabolic syndrome was assessed based on the the standard diagnosis of Chinese Diabetes Society. Patients were divided into high-risk group (n=423), critical group (n=1 524) and metabolic syndrome group (n=1 392) according to the Chinese expert consensus on the management of metabolic syndrome in patients with schizophrenia. Univariate analysis and multiple logistic regression were used to analyze the risk factors of metabolic syndrome in patients with schizophrenia. Results The prevalence rate of metabolic syndrome was 41.69% in community patients with schizophrenia. Univariate analysis showed that sex (χ2=44.610), age (χ2=55.992), marriage status (χ2=30.755), illness duration (χ2=25.913) and body mass index (χ2=829.265) were significantly different among the three groups (P<0.01). Kruskal-Wallis H analysis showed the levels of waist circumference (H=920.331), systolic blood pressure (H=436.673), diastolic blood pressure (H=393.337), fasting blood glucose (H=807.304), triglyceride (H=1 134.125) and high density lipoprotein cholesterol (H=593.615) among the three groups were significantly different (P<0.01). Logistic regression showed that age greater than or equal to 50 years old (OR=1.761, 95% CI: 1.087~2.853), overweight (OR=2.418, 95% CI: 1.862~3.140) and obesity (OR=57.903, 95% CI: 14.340~233.802) were risk factors for high risk patients becoming critical population (P<0.05 or 0.01). Female (OR=1.295, 95% CI: 1.034~1.622), age between 40 to 49 years old (OR=2.597, 95% CI: 1.582~4.263), age greater than or equal to 50 years old (OR=4.392, 95% CI: 2.609~7.395), overweight (OR=7.844, 95% CI: 6.018~10.223) and obesity (OR=426.785, 95% CI: 105.724~1 722.839) were risk factors for high risk patients developing into metabolic syndrome population (P<0.05 or 0.01). Conclusion The prevalence rate of metabolic syndrome is higher in community patients with schizophrenia. Patients who were female, older, overweight and obesity have a higher risk to stay with metabolic syndrome. [Funded by Health Science and Technology Project in Guangzhou (number, 20221A010028)]
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