文章摘要
唐秀丽,尉迟英昊,张换想,田源,邱佳,张健,刘晓田,侯建,王重建.农村成年人临床肥胖与亚临床肥胖患病率及影响因素分析[J].中华流行病学杂志,2025,46(12):2172-2178
农村成年人临床肥胖与亚临床肥胖患病率及影响因素分析
Prevalence and influencing factors of clinical obesity and preclinical obesity among rural adults
收稿日期:2025-05-20  出版日期:2025-12-22
DOI:10.3760/cma.j.cn112338-20250520-00334
中文关键词: 临床肥胖  亚临床肥胖  流行特征  影响因素  农村
英文关键词: Clinical obesity  Preclinical obesity  Epidemiological characteristic  Influencing factors  Rural
基金项目:四大慢病重大专项(2024ZD0531600);国家重点研发计划“精准医学研究”重点专项(2016YFC0900803)
作者单位E-mail
唐秀丽 郑州大学公共卫生学院流行病与卫生统计学系, 郑州 450001  
尉迟英昊 郑州大学公共卫生学院流行病与卫生统计学系, 郑州 450001  
张换想 郑州大学公共卫生学院流行病与卫生统计学系, 郑州 450001  
田源 郑州大学公共卫生学院流行病与卫生统计学系, 郑州 450001  
邱佳 郑州大学公共卫生学院流行病与卫生统计学系, 郑州 450001  
张健 郑州大学公共卫生学院流行病与卫生统计学系, 郑州 450001  
刘晓田 郑州大学公共卫生学院流行病与卫生统计学系, 郑州 450001  
侯建 郑州大学公共卫生学院流行病与卫生统计学系, 郑州 450001  
王重建 郑州大学公共卫生学院流行病与卫生统计学系, 郑州 450001 tjwcj2008@zzu.edu.cn 
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中文摘要:
      目的 根据柳叶刀糖尿病与内分泌学临床肥胖症委员会提出的临床肥胖诊断原则探讨农村成年人临床肥胖与亚临床肥胖的流行特征及影响因素。方法 数据来源于河南农村队列,通过问卷调查、体格检查和实验室检测指标诊断临床肥胖与亚临床肥胖。通过t检验和χ2检验进行描述性分析,使用多因素logistic回归模型分析影响因素。结果 共纳入28 104名研究对象,临床肥胖与亚临床肥胖的粗患病率分别为49.03%和19.44%,年龄标化患病率分别为36.88%和20.33%,其中男性粗患病率(46.41%和13.27%)低于女性(50.59%和23.13%)。随着年龄的增加,总人群临床肥胖年龄标化患病率呈上升趋势(趋势P<0.001),亚临床肥胖年龄标化患病率在40~49岁时最高,随后呈下降趋势(趋势P=0.017)。多因素分析显示,性别、年龄、文化程度、婚姻状况、吸烟状况、饮酒状况、高脂饮食及体力活动是临床肥胖与亚临床肥胖的影响因素。结论 农村成年人临床肥胖患病率较高,且高于亚临床肥胖患病率,应针对可改变因素采取措施降低不同肥胖表型风险。
英文摘要:
      Objective To investigate the prevalence and influencing factors of clinical obesity and preclinical obesity in rural adults according to the diagnostic principles of clinical obesity proposed by the Lancet Diabetes & Endocrinology Commission. Methods Data were obtained from the Henan rural cohort. Clinical obesity and preclinical obesity were diagnosed through questionnaires, physical examination, and laboratory tests. Descriptive analyses were performed using the t-test and χ2 test, and influencing factors were analyzed using a multivariate logistic regression model. Results A total of 28 104 participants were included. The crude prevalence rates of clinical obesity and preclinical obesity were 49.03% and 19.44%, and the age-standardized prevalence rates were 36.88% and 20.33% respectively. Among them, the crude prevalence rates of men (46.41% and 13.27%) were lower than those of women (50.59% and 23.13%). With increasing age, the age-standardized prevalence of clinical obesity in the total population showed an upward trend (trend for P<0.001), and the age-standardized prevalence of preclinical obesity was highest at the age of 40-49 years, then showing a downward trend (trend for P=0.017). Multivariate analysis showed that gender, age, educational level, marital status, smoking status, drinking status, high-fat diet, and physical activity were the influencing factors of clinical obesity and preclinical obesity. Conclusions The prevalence of clinical obesity among rural adults was relatively high and higher than that of preclinical obesity. Measures should be taken to address modifiable factors to reduce the risk of clinical obesity.
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