文章摘要
叶春丽,王丽敏,赵艳芳,张笑,李纯,赵振平,侯悦,陈艳梅,张梅.2010-2018年中国成年居民胰岛素抵抗变化趋势分析[J].中华流行病学杂志,2025,46(2):179-187
2010-2018年中国成年居民胰岛素抵抗变化趋势分析
The trend of change in insulin resistance among Chinese adults from 2010 to 2018
收稿日期:2024-07-23  出版日期:2025-02-14
DOI:10.3760/cma.j.cn112338-20240723-00452
中文关键词: 胰岛素抵抗  甘油三酯葡萄糖指数  变化趋势  影响因素
英文关键词: Insulin resistance  Triglyceride-glucose index  Trend of change  Influencing factors
基金项目:国家重点研发计划(2018YFC1311702)
作者单位E-mail
叶春丽 中国疾病预防控制中心慢性非传染性疾病预防控制中心慢病危险因素监测室, 北京 100050  
王丽敏 中国疾病预防控制中心慢性非传染性疾病预防控制中心慢病危险因素监测室, 北京 100050  
赵艳芳 中国疾病预防控制中心慢性非传染性疾病预防控制中心慢病危险因素监测室, 北京 100050  
张笑 中国疾病预防控制中心慢性非传染性疾病预防控制中心慢病危险因素监测室, 北京 100050  
李纯 中国疾病预防控制中心慢性非传染性疾病预防控制中心慢病危险因素监测室, 北京 100050  
赵振平 中国疾病预防控制中心慢性非传染性疾病预防控制中心慢病危险因素监测室, 北京 100050  
侯悦 中国疾病预防控制中心慢性非传染性疾病预防控制中心慢病危险因素监测室, 北京 100050  
陈艳梅 中国疾病预防控制中心慢性非传染性疾病预防控制中心慢病危险因素监测室, 北京 100050  
张梅 中国疾病预防控制中心慢性非传染性疾病预防控制中心慢病危险因素监测室, 北京 100050 zhangmei@ncncd.chinacdc.cn 
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中文摘要:
      目的 了解2010-2018年中国成年居民以甘油三酯葡萄糖指数(TyG指数)为代表的胰岛素抵抗状况变化趋势,并探讨其影响因素。方法 中国居民慢性病及危险因素监测分别于2010、2013和2018年,在中国31个省(自治区、直辖市)采用多阶段分层整群随机抽样方法,抽取≥18岁成年居民98 712、176 534和184 876人。本研究纳入406 933人作为研究对象。将TyG指数>P75的人群定义为存在胰岛素抵抗。计算不同年份,不同性别、年龄等亚组,以及2018年各省(自治区、直辖市)居民的TyG指数均值和胰岛素抵抗患病率。采用线性回归和logistic回归模型检验均值和率随时间变化的趋势,并采用多因素logistic回归模型分析与胰岛素抵抗相关的影响因素。所有分析采用基于设计的复杂抽样加权调整。结果 2010-2018年中国成年居民TyG指数从8.44±0.63上升至8.70±0.64,且不同年龄、性别和城乡成年居民的TyG指数均值均呈上升趋势(均P<0.001)。男性、居住在城市和45~59岁年龄组居民的TyG指数均值相对较高。不同省(自治区、直辖市)间居民TyG指数均值及胰岛素抵抗患病率存在差异(均P<0.05)。男性、≥45岁、居住在城市、过量饮酒、身体活动不足与更高的胰岛素抵抗患病率独立相关(均P<0.05)。结论 2010-2018年,中国成年居民以TyG指数为代表的胰岛素抵抗水平呈上升趋势;男性、≥45岁、居住在城市、存在过量饮酒或身体活动不足等不良生活方式的居民是防控胰岛素抵抗相关代谢性疾病所需要重点关注的人群。
英文摘要:
      Objective To investigate the trends in insulin resistance, as represented by the triglyceride-glucose index (TyG index), among Chinese adult residents from 2010 to 2018 and to explore influencing factors. Methods China Chronic Disease and Risk Factor Surveillance was conducted in 2010, 2013, and 2018, using a multi-stage stratified cluster random sampling method across all 31 provinces (autonomous regions and municipalities) in China. This study sampled 98 712 adults in 2010, 176 534 adults in 2013, and 184 876 adults in 2018, all aged ≥18 years, totaling 406 933 participants. Individuals with a TyG index >P75 were classified as having insulin resistance. The mean TyG index and the prevalence of insulin resistance were calculated for different years, sexes, age groups, provinces (autonomous regions and municipalities), and subgroups for 2018. Linear and logistic regression models were used to test trends in means and rates over time, and multivariate logistic regression models were conducted to analyze potential factors associated with insulin resistance. All analyses were adjusted for complex sampling weights based on the study design. Results From 2010 to 2018, the mean TyG index among Chinese adults increased from 8.44±0.63 to 8.70±0.64, with significant upward trends observed across different age groups, sexes, and urban-rural residencies (all P<0.001). The mean TyG index was higher among males, urban residents, and those aged 45-59. There were significant differences in the mean TyG indices and prevalence of insulin resistance across provinces (autonomous regions and municipalities) (all P<0.05). Higher insulin resistance prevalence was independently associated with being male, aged ≥45 years, living in urban areas, excessive alcohol consumption, and insufficient physical activity (all P<0.05).Conclusions From 2010 to 2018, the level of insulin resistance, as indicated by the TyG index, showed an increasing trend among Chinese adults. Males, individuals aged ≥45 years, urban residents, and individuals with unhealthy lifestyles such as excessive alcohol consumption or insufficient physical activity should be the focus of efforts to prevent and control metabolic diseases related to insulin resistance.
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