摘要
目的了解北京成年男性血脂的分布情况,探讨体质量指数(BMI)及年龄与血脂异常的关系。方法对15 215名男性体检者进行调查并测定血脂水平,按年龄和BMI水平分组分析。结果本研究中北京成年男性总胆固醇(TC)、总三酰甘油(TG)、高密度脂蛋白胆崮醇(HDL-C)的均值分别为5.07、1.81和1.25 mmol/L,总的血脂异常检出率为50.8%(7732例),其中TC、TG、HDL-C异常的检出率分别为22.7%、38.3%和6.2%。在不同年龄组,随年龄增长TC和TG水平升高,TC在50~59岁组最高,而TG在40~49岁最高,之后又随年龄增长有所下降。北京成年男性超重者占48.8%,肥胖者占19.3%。随着BMl水平的升高,TC和TG水平也随之升高,而HDL-C则降低。多因素Logistic回归分析提示,肥胖和超重组血脂异常发生的风险升高,OR值分别为3.074和1.790;40~49岁年龄组血脂异常发生的风险升高,OR值3.074,其次为50~59岁组,OR值2.859。结论北京成年男性的超重、肥胖以及血脂异常的检出率明显高于2002年全国普查的结果,且血脂异常的检出率随BMI和年龄的增高而显著增高,其中40~49岁和50~59岁的肥胖者的发病风险最高。
Objective To explore the prevalence of dyslipidemia and its relationship with age and body mass index ( BMI ) in male adults in Beijing. Methods The clinical data was reviewed and serum level of lipid were measured in 15 215 subjects aged 18-96. They were divided into different groups according to age and BMI. Results ( 1 ) The mean levels of serum TC, TG and HDL-C were 5.07, 1.81, 1.25 mmol/L respectively. The prevalence of dyslipidemia was 50. 8% (7732 cases)in this population. (2) The mean level of serum TC was highest in adults aged 50-59. The mean level of TG was highest in aged 40-49. (3) Data showed that overweight was about 48.8% and obesity was about 19. 3% in male adults in Beijing. The serum levels of TC and TG were higher with the increase of BMI, HDL-C. (4) Logistic regression analysis showed that BM1 in the group of overweight and obesity (with a BMI of 24-27.9 and ≥28 respetively) , were positively associated with the development of dyslipidemia ( OR: 3. 074 and 1. 790 respectively). It also demonstrated that in the group aged 40-49 and 50-59, the risk of development of dyslipidemia was increased ( OR: 3. 074 and 2. 859 respectively). Conclusions The prevalence of overweight, obesity and dyslipidemia are much higher than national survay in 2002. The development of dyslipidemia increases significantly with increment of BMI and age, obese people aged 40-49 are in the highest risk.
出处
《中国心血管杂志》
2009年第3期215-218,共4页
Chinese Journal of Cardiovascular Medicine
基金
科技部"十一五"攻关资助课题(2006BAI02B08)
北京市自然科学基金(7062059)