40岁以上在职医务人员体质量指数与血脂成份异常的相关性调查

Investigation on the correlation between body mass index and abnormal lipid composition in medical personnel over 40 years old

目的:分析40岁以上在职医务人员的BMI与血脂成份异常的相关性,为该人群血脂异常防治提供依据。方法:统计某三甲医院40岁以上人群的2018年体检资料,包括病史、身体测量和血液生化检查结果。依照《中国成人超重和肥胖预防控制指南》中公布的诊断标准,将该人群分成三组(偏瘦者共6例,因例数少,本次不纳入研究):正常BMI(271例)、超重组(201例)和肥胖组(93例)。分析BMI与血脂成份异常的相关性。结果:共纳入人员565例,平均BMI(24.59±2.30)kg/m2。超重组和肥胖组的TG和LDL-C平均水平均显著高于正常BMI组(P<0.01),与BMI呈正相关,而HDL-C则相反;三组高TG(分别为10.3%、29.2%和41.9%)、高LDL-C(分别为23.2%、30.3%和47.3%)和低HDL-C(分别为5.9%、23.4%和30.1%)患病率均随BMI增长而增高(P<0.01)。单因素分析显示:高TG危险因素有男性、BMI增长、高血压、糖尿病和吸烟,运动为保护性因素;高LDL-C危险因素有男性、BMI增长和吸烟;低HDL-C危险因素有男性、BMI增长、高血压、糖尿病和吸烟。分别把以上与血脂成份异常相关的因素通过多因素Logistics回归分析发现:高TG危险因素有男性(OR=2.25,95%CI:1.273~3.978,P<0.01)、超重(OR=2.579,95%CI:1.522~4.370,P<0.01)和肥胖(OR=3.381,95%CI:1.778~6.431,P<0.01),运动为保护性因素(OR=0.522,95%CI:0.323~0.844,P<0.01);高LDL-C危险因素有超重(OR=1.596,95%CI:1.035~2.460,P<0.05)和肥胖(OR=2.976,95%CI:1.749~5.063,P<0.01);低HDL-C危险因素有男性(OR=3.753,95%CI:1.959~7.191,P<0.01)、超重(OR=2.924,95%CI:1.543~5.543,P<0.01)和肥胖(OR=3.111,95%CI:1.457~6.643,P<0.01)。结论:血脂成份异常的危险因素均包括超重和肥胖,并且是主要危险因素,危险性与BMI呈正相关。控制该人群BMI增长,是防止血脂成份异常的重要措施。

Objective: To investigate the correlation between body mass index(BMI) and dyslipidemia in medical staff over 40 years old, so as to provide basis for prevention and treatment of dyslipidemia. Methods: Statistics of medical examination data of people over 40 years old in a 3 A hospital in 2018, including medical history, body measurement and blood biochemical examination result. According to the diagnostic criteria published in the guidelines for the prevention and control of overweight and obesity in Chinese adults, the population was divided into three groups(6 cases in the lean group, with a small sample size, included in this study): normal weight group(271 cases), overweight group(201 cases) and obesity group(93 cases). The correlation between BMI and dyslipidemia was analyzed. Results: A total of 565 subjects were included, with an average BMI of(24.59 ± 2.30) kg/m2. The average levels of serum TG and LDL-C in overweight and obesity groups were significantly higher than those in normal weight group(P < 0.01), and positively correlated with BMI, while HDL-C was on the contrary;. The prevalence of high TG(10.3%, 29.2% and 41.9%, respectively), high LDL-C(23.2%, 30.3% and 47.3%, respectively) and low HDL-C(5.9%, 23.4% and 30.1%, respectively) increased with BMI in the three groups(P < 0.01). T Univariate analysis showed that the risk factors of high Tg were male, BMI growth, hypertension, diabetes and smoking, and exercise was the protective factor;The risk factors of high LDL-C were male, BMI growth and smoking;The risk factors of low HDL-C were male, BMI growth, hypertension, diabetes and smoking.The above factors related to dyslipidemia were analyzed by multivariate logistic regression analysis: The risk factors of high Tg were male(OR=2.25, 95% CI: 1.273-3.978, P< 0.01), overweight(OR=2.579, 95% CI: 1.522-4.370, P< 0.01) and obesity(OR=3.381, 95% CI: 1.778-6.431, P < 0.01). Exercise was a protective factor(OR=0.522, 95% CI: 0.323-0.844, P < 0.01);The risk factors of high LDL-C were overweight(OR=1.596, 95% CI: 1.035-2.460, P < 0.05) and obesity(OR=2.976, 95% CI: 1.749-5.063, P< 0.01);The risk factors of low HDL-C were male(OR=3.753,95% CI: 1.959-7.191, P < 0.01), overweight(OR=2.924,95% CI: 1.543-5.543, P< 0.01) and obesity(OR=3.111,95% CI: 1.457-6.643, P < 0.01). Conclusions: The risk factors of dyslipidemia include overweight and obesity, and are the main risk factors. The risk is positively related to BMI. Controlling BMI in this population is an important measure to prevent the abnormal blood lipid composition.