上海市嘉定区中老年非糖尿病人群颈围与心血管危险因素的  相关性研究
Association between neck circumference and cardiovascular risk factors in middle-aged and elderly nondiabetic people in Jiading District, Shanghai

目的 · 探讨上海市嘉定区中老年非糖尿病人群颈围与心血管危险因素的相关性。方法 · 2014 年 8 月—2015 年 7 月选取上海市 嘉定区 4 657 名 40 岁及以上非糖尿病常住居民，进行问卷调查、体格检查和生化指标检测。按照颈围四分位数分组，分析颈围与心血 管危险因素的相关性。结果 · 随着颈围的增粗，腰围、体质量指数（BMI）、血压、血脂、空腹血糖、胰岛素抵抗指数水平升高，腹型 肥胖、胰岛素抵抗、高血压和血脂异常发生率显著增加（均趋势 P 值<0.01）。多元 Logistic 回归分析显示，校正年龄、性别、吸烟、 饮酒、体力活动、BMI、腰围、收缩压、C- 反应蛋白、空腹血糖和血脂等因素后，随着颈围的增粗，各心血管相关危险因素的发生风 险均显著增加（均趋势 P 值<0.01）。 结论 · 上海市嘉定区中老年非糖尿病人群中，颈围与各心血管危险因素呈独立正相关。
： Objective · To investigate the association between neck circumference (NC) and cardiovascular risk factors among middle-aged and elderly people without diabetes in Jiading District in Shanghai. Methods · A cross-sectional study was conducted among 4 657 nondiabetic inhabitants aged 40 and above in Jiading District, Shanghai from August 2014 to July 2015. Clinical information collection, anthropometric measurements, and biochemical analyses were performed. The objects were divided into 4 groups according to the quartiles of NC in order to analyze association between NC and cardiovascular risk factors. Results · With increase of NC, the prevalences of abdominal obesity, insulin resistance, hypertension, and dyslipidemia all increased as well as waist circumference, body mass index (BMI), blood pressure, lipid profile, fast blood glucose, and HOMA-IR level (all Ptrend <0.01). Multiple Logistic regression analysis showed that individuals in Q2, Q3 and Q4 group had significantly higher risk of abdominal obesity, insulin resistance, hypertension, and dyslipidemia compared with those in Q1 group after age, sex, smoking, drinking, physical activity, BMI, waist circumference, systolic blood pressure, C-reactive protein, fast blood glucose, and lipid profile were corrected (all Ptrend <0.01). Conclusion · NC is positively and independently correlated with cardiovascular risk factors in middle-aged and elderly nondiabetic people in Jiading District in Shanghai