Zhang X, Liu S B, Cong X F, Zhang R, Wang W J, Li J H
Obesity and Metabolic Disease Prevention and Control Room, Chronic Non-communicable Disease Prevention and Control Center, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Zhonghua Liu Xing Bing Xue Za Zhi. 2022 Oct 10;43(10):1582-1589. doi: 10.3760/cma.j.cn112338-20211207-00957.
To explore the incidence and influencing factors of prediabetes in adults in China. Ten provinces (cities) were selected from the surveillance survey of chronic diseases and their risk factors in China in 2010; two monitoring sites were selected from each province (city) as follow-up spots, and a follow-up survey was conducted from 2016 to 2017. An unconditional logistic regression model was used to analyze the influencing factors of prediabetes. A total of 5 578 participants were included in this study. During the follow-up period, 612 patients (268 males and 344 females) developed impaired glucose tolerone (IGT), with a total follow-up of 37 364.82 person-years, and the incidence of IGT was 16.4/1 000 person-years. Impaired fasting glucose (IFG) occurred in 290 patients (128 males and 162 females) with a total follow-up of 39 731.31 person-years, and the incidence of IFG was 7.3/1 000 person-years. The multivariate unconditional logistic regression model included age, urban and rural areas, family history of diabetes, BMI, central obesity, dyslipidemia, hypertension, and physical activity, and the results showed that age (≥50 years old: =1.60, 95%: 1.32-1.95), urban residents (=1.41, 95%: 1.16-1.71), obesity (=1.56, 95%: 1.12-2.19), dyslipidemia (=1.52, 95%: 1.25-1.83), hypertension (=1.32, 95%: 1.07-1.61) and physical inactivity (=1.25, 95%: 1.04-1.50) increase the risk of IGT. Age (≥50 years old: =1.31, 95%: 1.01-1.70), family history of diabetes (=1.71, 95%: 1.13-2.60), overweight (=1.41, 95%: 1.04-1.92), obesity (=2.09, 95%: 1.38-3.17) and hypertension (=1.53, 95%: 1.18-2.00) increase the risk of IFG. The incidence of IGT is higher than the IFG. People aged 50 and above, overweight and obese people, hypertension patients, dyslipidemia patients, people with insufficient physical activity, and family history of diabetes are prone to prediabetic events.
为探讨中国成年人糖尿病前期的发病率及其影响因素。从2010年中国慢性病及其危险因素监测调查中选取10个省(市);从每个省(市)选取2个监测点作为随访点,并于2016年至2017年进行随访调查。采用非条件logistic回归模型分析糖尿病前期的影响因素。本研究共纳入5578名参与者。随访期间,612例患者(男性268例,女性344例)出现糖耐量受损(IGT),总随访人年数为37364.82人年,IGT发病率为16.4/1000人年。290例患者(男性128例,女性162例)出现空腹血糖受损(IFG),总随访人年数为39731.31人年,IFG发病率为7.3/1000人年。多变量非条件logistic回归模型纳入年龄、城乡、糖尿病家族史、BMI、中心性肥胖、血脂异常、高血压和身体活动情况,结果显示年龄(≥50岁:比值比=1.60,95%可信区间:1.32-1.95)、城市居民(比值比=1.41,95%可信区间:1.16-1.71)、肥胖(比值比=1.56,95%可信区间:1.12-2.19)、血脂异常(比值比=1.52,95%可信区间:1.25-1.83)、高血压(比值比=1.32,95%可信区间:1.07-1.61)和身体活动不足(比值比=1.25,95%可信区间:1.04-1.50)会增加IGT风险。年龄(≥50岁:比值比=1.31,95%可信区间:1.01-1.70)、糖尿病家族史(比值比=1.71,95%可信区间:1.13-2.60)、超重(比值比=1.41,95%可信区间:1.04-1.92)、肥胖(比值比=2.09,95%可信区间:1.38-3.17)和高血压(比值比=1.53,95%可信区间:1.