目的:了解四川省直机关省厅级公务员超重、肥胖的现状,探讨体重指数、腰围与血脂的关系。方法:2008年对四川省直机关省厅级公务员取样调查1260人测身高,体重,腰围(WC),血脂,计算体重指数(BMI),并对男女各组间胆固醇、甘油三酯进行统计学分析。结果:四川省直机关省厅级公务员的男女肥胖率分别为9.1%、7.7%,超重率分别为45.3%、27.8%,肥胖组及超重组甘油三酯明显高于正常组,多元回归分析结果显示男女性甘油三酯与BMI、WC均有明显相关性(Plt;0.01)。结论:防治高血脂,控制肥胖及腹型肥胖甚为重要,体重指数、腰围的控制也为防治高血脂的基本措施之一。
ObjectiveTo investigate the prevalence of chronic obstructive pulmonary disease (COPD) with lipid metabolism disorders patients in Chengdu. MethodsWe randomly selected four communities from urban and rural areas in Chengdu between February and December, 2010, with multistage cluster random sampling method; 1 931 residents aged from 40 to 70 received special questionnaire from the BOLD Study, lung examination, blood biochemical examination, and physical examination. ResultsThe prevalence of COPD was 60.26% (91/151) with dyslipidemia; while non-COPD was 68.17% (972/1 428), and the difference was significant (P<0.05), in which the most obvious difference is triglycerides (TG). The prevalence of COPD was 6.62% (10/151) with underweight; while non-COPD was 4.97% (71/1 428), and the difference was significant (P<0.001). The prevalence of COPD was 21.19% (32/151) with abdominal obesity; while non-COPD was 30.81% (440/1 428), and the difference was significant (P<0.05). ConclusionThe prevalence of COPD with lipid metabolism disorders is lower than which with non-COPD in Chengdu. It provides an evidence for the nutrition support therapy in the treatment of COPD.
ObjectiveTo explore the association between hypertriglyceridemic waist (HTGW) and subclinical atherosclerosis among general Chinese population. MethodsPeople who took routine physical exam in the Sichuan Provincial People's Hospital were randomly selected from June 2011 to June 2012. We included those who received carotid artery ultrasonography and denied having symptoms of arterial ischemia, and screened the risk factors of cardiovascular disease (CVD) among them, including waist circumstance (WC) and triglycerides (TG). According to levels of WC and TG, the subjects were divided into three groups:Group I (those with normal levels of WC and TG); Group II (those with elevated levels of WC or TG); and Group Ⅲ (those with elevated WC and TG). ResultsA total of 484 subjects were included with average age of 47.3±11.3 years, of which, 72.1% of the subjects were male. The risk factors of CVD in Group I, Group II and Group III orderly increased, with significant differences. Then the subjects were stratified by age. For the elderly (no less than 60 years, n=75), the morbidities of subclinical atherosclerosis was 73.7% in Group I, 79.3% in Group II, and 70.4% in Group Ⅲ, respectively; and the results of univariate analysis and multivariate analysis showed that, HTGW was poorly associated with subclinical atherosclerosis in the elderly. For the young and middle-aged (less than 60 years, n=409), the morbidities were 19.8% in Group I, 35.1% in Group II, and 36.1% in Group III, respectively; after adjusting the confounding factors, Group II and Group III showed close association with subclinical atherosclerosis in the young and middle-aged when taking Group I as referent, with ORs (Group Ⅱ:1.987, 95%CI 1.073 to 3.679, P=0.029; and Group Ⅲ:2.060, 95%CI 1.020 to 4.161, P=0.044). ConclusionHTGW population has high-level risk factors of CVD which also present a tendency of aggregation. HTGW is closely associated with subclinical atherosclerosis in the young and middle-aged; while in the elderly, HTGW is poorly associated with subclinical atherosclerosis, but the morbidity of subclinical atherosclerosis is higher.
Objective To investigate the relationship between a body shape index (ABSI) and abnormal inflammation. Methods In May 2007, a cross-sectional study was conducted among 651 individuals by random sampling method in an urban community located in Chenghua district of Chengdu. We mainly assessed the relationship between ABSI and abnormal inflammation, which was defined as high sensitive C-reactive protein equal to 3 mg/L or higher. Results Logistic regression analysis showed that body mass index (BMI), waist circumference (WC) and ABSI were independently associated with abnormal inflammation. For identifying abnormal inflammation, WC had the best discriminatory power with the area under the receiver operating characteristic curve (AROC) was 0.627 [95% CI (0.564, 0.689)], followed by BMI (AROC: 0.609) and ABSI (AROC: 0.608). In addition, combination with ABSI could improve the discriminatory power of BMI for abnormal inflammation, and AROC increased from 0.609 to 0.646. Combination with ABSI could also improve the discriminatory power of WC for abnormal inflammation, and AROC only increased from 0.627 to 0.631. Conclusions In the general Chinese population, ABSI is independently associated with abnormal inflammation, but the discriminatory power is poor, no better than BMI and WC. Furthermore, combination with ABSI can improve the discriminatory power of BMI and WC for abnormal inflammation, especially for BMI. Further studies about ethnic specificities of ABSI are needed.
Objective To explore the relationship between obesity and the three targets including blood pressure, glucose, and lipid. Methods A total of 181 adult Tibetans who underwent physical examination between March and September 2015 at Xigaze People's Hospital were enrolled in this study. Their obesity degrees were assessed with body mass index (BMI) and waist circumference (WC) respectively. The levels of blood pressure, glucose, and lipid were compared at the different levels of BMI or WC. Results The incidence of systematic obesity and central obesity in these adults were 57.5% and 79.0%, respectively. Compared the overweight group with the normal BMI group, the systolic pressure and diastolic pressure of the former were 9.26 mm Hg (1 mm Hg=0.133 kPa) [95% confidence interval (CI) (3.46, 15.07) mm Hg, P=0.002] and 7.76 mm Hg [95%CI (3.96, 11.57) mm Hg, P<0.001] higher, respectively. Similarly, the systolic pressure and diastolic pressure of the central obesity group were 8.24 mm Hg [95%CI (1.03, 15.46) mm Hg,P=0.026] and 6.79 mm Hg [95%CI (2.03, 11.55) mm Hg, P=0.006] higher than those in the normal WC group, respectively. For the normal WC or normal BMI subjects, the detection rate of dyslipidemia reached up to 50.0% and 52.6%. Conclusions With the increase of BMI/WC values, the level of blood pressure rises. Even though WC or BMI is normal, the detection rate of dyslipidemia is high.
Objective To explore the association between triglyceride glucose-waist circumference (TyG-WC) index and the risk of stroke among the middle-aged and older people, and compare the differences among TyG-WC, triglyceride glucose (TyG), and waist circumference (WC) in the prediction of stroke. Methods The data of adults aged 45 years or older enrolled in the China Health and Retirement Longitudinal Study registry in 2011 were collected, and the endpoint was self-reported or physician-diagnosed new stroke event by 2015. According to the baseline TyG-WC tertile, individuals were divided into three groups: TyG-WC tertile 1, tertile 2, and tertile 3 groups. Multiple logistic regression analyses were performed to analyze the associations of TyG-WC, TyG, and WC with the risk of stroke. The area under the curve (AUC) of receiver operating characteristic (ROC) curve, integrated discrimination improvement (IDI) score, and net reclassification improvement (NRI) score were calculated to evaluate the predictive value of TyG-WC, TyG, and WC in stroke. Results A total of 5847 participants were finally included, with 1949 in each group. After 4 years of follow-up, there were 252 cases of new stroke. There was significant difference in the incidence of stroke among the three groups (TyG-WC tertile 1 group: 2.57%, TyG-WC tertile 2 group: 4.16%, TyG-WC tertile 3 group: 6.21%; P<0.05). The results of multiple logistic regression analyses showed that the risk of new stroke in the third tertile group of TyG-WC and WC was higher than that in the first tertile group, respectively [TyG-WC: odds ratio (OR)=1.465, 95% confidence interval (CI) (1.033, 2.078), P=0.032; WC: OR=1.717, 95%CI (1.190, 2.478), P=0.004], while TyG was not the risk factor of stroke (P>0.05). The ROC curve analysis showed that the AUC of WC (0.566) was slightly higher than that of TyG-WC (0.556) and TyG (0.527). The IDI of TyG-WC (0.25%) was slightly higher than that of WC (0.22%), and the both were higher than that of TyG (0.07%). The NRI of WC (25.04%) was slightly higher than that of TyG-WC (19.68%), and the both were high than that of TyG (12.02%). Conclusions Compared with TyG, higher TyG-WC and WC are associated with the increased risk of new stroke among the middle-aged and older people. The predictive value of TyG-WC and WC for the risk of new stroke in the middle-aged and elderly is similar, and is better than that of TyG.