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目的探讨老年人群颈围水平与代谢综合征(MS)及各代谢组分的相关关系。方法随机整群抽样法以任丘市年龄60~70岁的常住居民4412例为调查者,根据颈围进行4分位分组,A组1115例(颈围≤33.80cm),B组1139例(颈围33.81~35.80cm),C组1143例(颈围35.81~38.00cm),D组1015例(颈围>38.00cm),采用ROC曲线分析判断颈围的界值,采用logistic回归分析。结果A、B、C、D组体质量指数、腰围、血压、空腹血糖、TG、LDL-C、尿酸和HDL-C水平比较,差异有统计学意义(P<0.05,P<0.01);颈围是男女性中心性肥胖、高血压、糖尿病、高TG、低HDL-C的独立危险因素(P<0.01);男女性颈围界值(37.75cm/34.15cm)对MS的预测准确性男性为78.7%,女性为76.1%,颈围高于界值的MS检出率(67.41%vs 24.93%)及中心性肥胖(84.26%vs30.59%)、高TG血症(45.95%vs 21.98%)、低HDL-C血症(55.01%vs 31.67%)、高血压(91.20%vs 80.40%)、糖尿病(29.33%vs 13.89%)检出率较颈围低于界值者明显升高(P=0.000)。结论颈围与MS及各代谢组分密切相关,对MS的早期预测及预防有重要意义。
Objective To investigate the relationship between cervical circumference and metabolic syndrome (MS) and its metabolic components in the elderly population. Methods Random cluster sampling method was conducted in Renqiu City, with 4412 residents aged 60-70 years old as investigators. According to the neck circumference, 4 quartiles were divided into group A (1115 cases) (neck circumference ≤33.80 cm), group B (1139 cases) Neck circumference ranged from 33.81 to 35.80cm), C group (1143 cases) (neck circumference range 35.81-38.00cm) and D group (1015 cases) (neck circumference> 38.00cm). The ROC curve analysis was used to judge the neck circumference. Logistic regression analysis was used. Results The body mass index, waist circumference, blood pressure, fasting blood glucose, TG, LDL-C, uric acid and HDL-C in group A, B, C and D were significantly different (P <0.05, P <0.01) The circumference was an independent risk factor for obesity, hypertension, diabetes mellitus, high TG and low HDL-C in men and women (P <0.01). The prediction accuracy of MS for neck circumference (37.75 cm / 34.15 cm) (78.7%), female (76.1%), MS (67.41% vs 24.93%) and central obesity (84.26% vs30.59%) and hypercholesteremia (45.95% vs 21.98% ), Low HDL-C (55.01% vs 31.67%), hypertension (91.20% vs 80.40%) and diabetes (29.33% vs 13.89%) were significantly higher than those below the neck circumference (P = 0.000). Conclusion The neck circumference is closely related to MS and its metabolites, which is of great significance for the early prediction and prevention of MS.