佛山市南海区社区人群体型指数、腰围与高血压的关系

目的采用腰围(WC)、体质指数(BMI)综合评价广东省佛山市南海区成年人中心性肥胖者高血压患病风险。方法采用多阶段分层随机抽样方法抽取南海区2个街道6个镇共17124户中18岁以上常住居民进行调查。采用入户面对面访谈的方法,并进行相关人体测量。采用SPSS13.0统计软件进行多因素Logistic回归分析,比较各BMI组别中心性肥胖者高血压患病的OR值。结果体质指数偏瘦、正常、超重和肥胖组中,男性中心性肥胖者高血压患病率分别为14.6%、23.8%、34.1%和42.7%;女性中心性肥胖者高血压患病率分别为20.3%,24.2%,33.8%和43.5%;除男性体型偏瘦组外,中心性肥胖者高血压患病率均明显高于同组内的正常腰围人群(P0.01);调整混杂因素(年龄、吸烟、饮酒和体育锻炼等)后,与正常腰围人群比较,BMI正常、超重及肥胖组别中男性中心性肥胖者患高血压患病的OR值分别为1.485(1.319~1.672)、1.827(1.536~2.191)、2.849(1.659~4.893);中心性肥胖女性BMI偏瘦、正常、超重及肥胖组高血压患病OR值分别为1.642(1.112~2.425)、1.530(1.363~1.717)、1.644(1.299~2.080)、3.529(2.001~6.225)。结论 BMI与WC两者结合可明显提高高血压风险预测价值;应将腹型肥胖尤其是全身性肥胖合并腹型肥胖的人群作为社区高血压防治的重点干预人群。     

体检人群脉搏波传导速度与心血管病危险因素的关系研究

目的 探讨体检人群脉搏波传导速度与其他心血管病危险因素的关系。方法 采用回顾性研究,选择2015年10 月- 2016 年10 月于某院体检中心进行体检者1 806 例作为研究对象,测量身高、体重、血压等,检测血脂、空腹血糖（Fasting Plasma Glucose,FPG）、尿酸（Uric Acid,UA）等,测量上臂脚踝脉搏波传导速度(brachial - ankle Pulse Wave Velocity ,baPWV)。结果 baPWV异常组较正常组年龄大,体重指数（Body Mass Index,BMI）、收缩压（Systolic Blood Pressure,SBP）、FPG、低密度脂蛋白胆固醇（Low Density Lipoprotein Cholesterol,LDL - C）、UA等水平增高。相关分析结果表明baPWV与年龄(r = 0.55,P＜0.001)、收缩压(r = 0.63,P＜0.001)、空腹血糖(r = 0.30,P＜0.001)正相关,与其他心血管病危险因素关系不大。中年组baPWV轻度增高检出率最多（27.87%）。老年组baPWV中、重度升高检出率（63.28%）明显高于青年组（3.49%）和中年组（15.40%）。Logistics回归结果表明中、老年人baPWV增高风险增加,老年人较青年人baPWV增高风险明显增大（OR = 23.04）,血压增高者baPWV增高风险较血压正常者明显增大（OR = 30.71）,男性baPWV增高风险较女性稍高,血糖增高者baPWV增高风险较血糖正常者稍高。结论 高龄、高血压、高血糖是baPWV增高的独立危险因素,男性比女性baPWV更易增高。45岁以上的中老年人,特别是男性群体,高血压、高血糖者应为baPWV重点检测对象。     

体重因素与妊娠期高血压疾病的相关性

目的:探讨孕前BMI、孕20周前体重增长与妊娠期高血压疾病(HDP)的相关性,为HDP的治疗提供理论依据。方法:选取2012年1月~12月在北京市海淀区妇幼保健院住院分娩的产妇12 259名,收集其病历资料,采用多因素Logistic回归对相关因素进行分析。结果:孕前超重/肥胖者发生HDP的风险分别为孕前BMI正常者的2.6(2.1~3.1)和4.4(3.2~5.9)倍;孕20周前体重增长较多者发生HDP的风险是体重增长较少者的1.2(1.0~1.4)倍;孕前超重/肥胖者中孕20周前体重增长较少者HDP的发生风险低于体重增长较多者。结论:孕前超重/肥胖、孕20周前体重增长过多均是HDP的危险因素,与孕20周前体重增长较多相比,孕前超重/肥胖在HDP的发生中作用更强;减少孕20周前体重增长可在一定程度上降低孕前超重/肥胖者HDP的发生风险。     

中年人群腹型肥胖和心血管疾病相关性的研究

目的探讨腹型肥胖与心血管疾病的相关性。方法观察200名年龄在35～59岁之间的中年人,其中腹型肥胖者(实验组)100名,非腹型肥胖者(对照组)100名,分别进行血压、体重指数(BMI)、血清总胆固醇、甘油三酯、高密度脂蛋白胆固醇、低密度脂蛋白胆固醇、空腹血糖、心电图、心脏超声等心血管疾病危险因素的检查及测量,通过对比,分析腹型肥胖与心血管疾病的相关性。结果心血管疾病危险因素实验组均高于对照组,两组间的差异有统计学意义(P<0.05)。结论腹型肥胖者各种心血管危险因素的频率和程度均增高,是代谢综合征发展的良好预测指标,也是心血管事件的独立危险因子,对腹型肥胖要给予早期干预。     

肥胖者内皮功能障碍与心血管危险因素及其聚集性

目的 探讨血管内皮功能与肥胖合并心血管危险因素的关系。方法 对576例体重指数(BMI)≥25kg／m^2的中年肥胖人群检测BMI、腰臀比(WHR)、血压、血糖和胰岛素、血脂及胰岛素抵抗指数(IRI)，并测定血流介导的内皮依赖性舒张功能。按合并的心血管危险因素(高血压、高血脂和高血糖)分组后进行分析。结果 (1)血压、血脂、血糖、IRI及BMI、WHR在合并心血管危险因素的肥胖者较单纯肥胖者显著升高，并随着危险因素增多呈上升趋势。(2)内皮依赖性舒张功能随着危险因素增加逐渐降低，其内皮功能异常的发生率呈明显升高趋势。(3)男性肥胖者合并心血管危险因素较女性多见。(4)合并不同数量心血管危险因素各组中，内皮功能异常者心血管危险因素水平均高于内皮功能正常者。(5)内皮功能异常者合并高血脂、高血糖及代谢综合征的发生率显著高于内皮功能正常者。结论 内皮功能障碍与肥胖者心血管危险因素的发生和聚集密切相关．可能是胰岛素抵抗(IR)的前兆，与IR其同参与代谢相关性心血管病的发病机制。     

不同性别高校新生超重肥胖及高血压与血清丙氨酸氨基转移酶异常的相关性分析

目的探讨不同性别大学新生超重肥胖及高血压与血清丙氨酸氨基转移酶(ALT)异常的相关性。方法对4 236名入学新生测量身高、体重及血压并检测ALT水平,观察ALT异常状况,分析不同性别大学新生超重肥胖及高血压对ALT异常的影响。结果大学新生ALT异常率为7.41%,男生ALT异常率(12.62%)明显高于女生(2.84%)(P0.001)。随着体重指数(BMI)和血压水平的增高,男女新生ALT异常发生率均呈上升趋势。校正混杂因素后,男生超重、肥胖者ALT异常患病风险是体重正常者的2.798倍(95%CI:2.086~4.156)和7.345倍(95%CI:4.965~11.422),女生超重肥胖者ALT异常患病风险分别是体重正常者的3.712倍(95%CI:2.023~7.145)和13.876倍(95%CI:6.992~28.567),低体重则是ALT异常发生的保护因子。男女生高血压组ALT异常患病率分别是血压正常组的4.765倍和4.023倍。结论大学新生超重肥胖及高血压与血清ALT异常升高呈明显正相关,女生超重肥胖者发生ALT异常的风险较男生高,对BMI及血压的监测有助于ALT异常疾病的防控。     

西安市成年肥胖人群膳食多样化与肥胖代谢表型的关联性

  目的  了解西安市成年肥胖人群的膳食多样化与肥胖代谢表型的关系。  方法  数据来源于西北区域自然人群队列中西安城市队列人群的基线调查,选择具有血样且反映代谢表型指标完整的肥胖人群(BMI≥28 kg/m2)1 069例。根据代谢综合征联合国际多学会联合声明的标准定义肥胖代谢表型。参考膳食多样化得分的评价规则,结合中国居民膳食指南构建膳食多样化指标。运用logistic回归分析模型探讨膳食多样化与肥胖代谢表型关系。  结果  研究对象的膳食多样化存在性别差异,不同肥胖代谢表型者的膳食多样化总分差异有统计学意义。与代谢正常肥胖者相比,代谢异常者膳食多样化得分较低[(4.20±1.88)vs.(4.51±1.97), P=0.010],其畜禽肉、鱼虾、蛋、奶及奶制品的摄入较低。控制混杂因素后,与膳食多样化得分最低的肥胖者相比,得分最高者患代谢异常的风险降低38%(OR=0.62, 95% CI: 0.40~0.96),膳食多样化得分每增加一个单位,肥胖者的代谢异常风险降低10% (OR=0.90, 95%CI: 0.82~0.99),这种关联在女性和强体力活动的肥胖人群中更明显。  结论  膳食多样化增加与成年肥胖人群代谢异常风险减少有关联。采取多样化膳食可能是预防和控制肥胖人群代谢异常的重要营养干预措施。     

苏州市≥30岁人群尿微量白蛋白异常与肥胖关系

目的探讨江苏省苏州市≥30岁人群尿微量白蛋白异常与肥胖的关系,为采取相应的干预措施提供参考依据。方法采取多阶段整群随机抽样方法对在苏州市金阊区8个小区抽取的2 889名≥30岁常住居民进行问卷调查、体格检查和实验室检测,并采用logistic回归模型分析尿微量白蛋白异常与肥胖的关联性。结果苏州市调查的2 889名≥30岁人群中,尿微量白蛋白异常者446例,检出率为15.44%;尿微量白蛋白异常组与正常组人群比较,体质指数(BMI:25.3 vs 24.4)、腰围(WC:84.0 vs 82.0)、腰臀比(WHR:0.88 vs 0.87)的水平均高于正常组(P<0.01),以这3个指标定义的肥胖和中心性肥胖率均高于正常组(P<0.001);在调整性别、年龄、文化程度、婚姻状况、吸烟、饮酒、血糖、收缩压、舒张压、总胆固醇、甘油三酯、血清尿酸等因素后,多因素logistic回归分析结果显示,BMI肥胖者(OR=1.610,95%CI=1.189~2.181)和WHR中心性肥胖者(OR=1.349,95%CI=1.078~1.688)均可增加≥30岁人群尿微量白蛋白异常的危险性;当BMI肥胖和WHR中心性肥胖者同时存在时,≥30岁人群尿微量白蛋白异常的危险性为无BMI肥胖和WHR中心性肥胖者的1.937倍(OR=1.937,95%CI=1.370~2.740)。结论肥胖是尿微量白蛋白异常的危险因素。     

天津市宝坻区老年人体质指数、腰围以及腰围身高比与高血压患病率的关联

  目的   探讨天津市宝坻区60岁及以上老年居民的体质指数(body mass index, BMI)、腰围(waist circumference, WC)以及腰围身高比(waist-to-height ratio, WHtR)与高血压患病率的关联。   方法   本研究对2018年4-5月参加天津市宝坻区口东卫生院体检的老年人(≥60岁)进行问卷调查和体格检查。采用分层分析和logistic回归分析BMI与WC(或WHtR)对高血压的联合作用和交互作用。   结果   共邀请1 692人, 1 417人(83.75%)参与本研究。老年人群的高血压患病率为46.36%、BMI超重和肥胖者占66.50%、WC中心型肥胖者占74.66%、WHtR超重和肥胖者占75.38%。与BMI或WC正常相比, BMI超重(OR=1.65, 95% CI:1.19~2.30)和肥胖(OR=3.41, 95% CI:2.23~5.20)及WC中心型肥胖(OR=1.49, 95% CI:1.00~2.23)均增加高血压的患病风险。BMI联合WC超重/肥胖(OR=2.49, 95% CI:1.78~3.46), 或BMI联合WHtR超重/肥胖(WHtR超重: OR=2.05, 95% CI:1.41~2.99;WHtR肥胖: OR=2.37, 95% CI:1.50~3.76)的患病风险高于后者单独作用的风险(WC超重/肥胖: OR=1.39, 95% CI:0.90~2.15;WHtR超重: OR=1.02, 95% CI:0.62~1.66;WHtR肥胖: OR=1.44, 95% CI:0.55~3.81)。   结论   三项指标中, BMI与高血压患病的关联性最强, 且BMI超重/肥胖增强WC(或WHtR)与高血压的关联, 提示控制BMI相关体重指标在正常范围内有助于预防和控制高血压。     

上海地区职业人群代谢综合征及其组分与早期肾损伤的相关性研究

目的 探讨上海地区职业人群代谢综合征（Metabolic Syndrome,MetS）和早期肾损伤的检出情况,分析MetS及其组分与早期肾损伤相关性。方法 选取2021年1—12月在华东疗养院进行健康体检的12251例上海地区职业人群为研究对象,以估算的肾小球滤过率(estimate glomerular filtration rate,eGFR)60≤eGFR＜90ml/( min·1.73m2)为依据诊断为早期肾损伤,MetS根据2017年版中华医学会糖尿病分会诊断标准进行诊断,研究该人群MetS及其不同组分中早期肾损伤的检出情况,并采用单因素与多因素logistic回归分析MetS及其组分与早期肾损伤的相关性。结果 该地区职业人群MetS和早期肾损伤的检出率分别为16.04%和24.86%,且eGFR值在MetS组与非MetS组间有统计学差异（t =2.967,P =0.003）;在MetS及其五个组分中,除高空腹血糖外,余阳性组的早期肾损伤检出率显著高于阴性组（P＜0.001）,且随着组分数0~5的增高,早期肾损伤检出率逐渐增高（趋势x²=139.225, P＜0.001）;回归模型分析显示,性别（OR=2.407,95% CI:2.184～2.652）、年龄（OR=5.661,95% CI:4.622～6.934）、腹型肥胖(OR=1.177,95% CI: 1.072~1.292）、高血压( OR=1.319,95% CI: 1.208~1.441）、高TG血症(OR=1.403,95% CI: 1.286~1.531）、低HDL-C血症(OR=1.245,95% CI: 1.109~1.397）是早期肾损伤的危险因素;男性发生风险是女性的2.209倍（95%CI:1.983～2.460）;50岁以上人群是≤30岁人群的5.477倍（95%CI:4.448～6.745）; MetS的1～5项组分数发生早期肾损伤的风险分别为0.704（95%CI:0.597～0.830）,1.124（95%CI:0.826～1.538）,1.502（95%CI:1.143～1.843）,1.697（95%CI:1.369～2.164）,1.913（95%CI:1.234～2.251）。结论 上海地区职业人群早期肾损伤检出率较高,男性、年龄增长、腹型肥胖、高血压、高TG血症、低HDL-C血症是发生早期肾损伤的危险因素。     

Obesity and novel cardiovascular markers in a population without diabetes and cardiovascular disease in China

ObjectiveTo investigate associations of novel cardiovascular markers with obesity in a general population.MethodsA total of 9361 individuals without diabetes or cardiovascular disease were studied between 2009 and 2012 in China. High-sensitivity cardiac troponin T (hs-cTnT), N-terminal pro-B-type natriuretic peptide (NT-proBNP), brachial-ankle pulse wave velocity (baPWV), pulse pressure, and central systolic blood pressure (cSBP) were assessed according to body mass index (BMI) levels and different BMI/metabolic syndrome (MetS) combinations.Results'Levels of hs-cTnT, baPWV, pulse pressure, and cSBP increased across BMI levels. Obesity was positively associated with these markers in multivariate models (P < 0.05 for all). When stratified by MetS, these associations remained significant in the non-MetS group, and compared with normal weight participants, the obese participants had 1.87 (95% confidence interval: 1.48, 2.36), 1.27 (1.02, 1.57), 1.89 (1.39, 2.57), and 2.71 (2.11, 3.47) fold risks for having elevated hs-cTnT, baPWV, pulse pressure, and cSBP, respectively, and had 1.61 (1.26, 2.05), 1.75 (1.27, 2.42), 2.45 (1.46, 4.11), and 3.14 (2.13, 4.62) fold risks for having 1, 2, 3, and 4 elevated cardiovascular markers, respectively; while no relationship was observed between obesity and these novel markers in the MetS group, after multivariate adjustment. These results were unchanged when using a waist-hip ratio, body fat per cent, and visceral adiposity index to redefine obesity.ConclusionsObesity was positively associated with novel cardiovascular markers (except NT-proBNP) in participants without MetS rather than in participants with MetS. Obese participants without MetS also had higher odds of having more number of elevated cardiovascular markers.     

Natural histories of metabolite BMI phenotypes and their impacts on cardiovascular disease risk over a decade-long follow-up

PurposeThe prognostic significance of obesity phenotypes is under debate, and few studies have characterized their transition trajectories. This study examined the natural courses of different phenotypes and their associations with cardiovascular disease risks.MethodsA total of 1827 participants were followed for 14 years and re-evaluated every 4–5 years. Four metabolite BMI phenotypes were determined according to overweight or obesity (BMI ≥ 24 kg/m²) and metabolic health status (≤1 Adult Treatment Panel III criteria, excluding waist circumference). Cardiovascular risks were assessed by evaluating baPWV and hypertension, diabetes and chronic kidney disease (CKD) development.ResultsMore than 20% of participants changed their initial phenotypes within 5 years. One-third of healthy overweight/obese (MHO) individuals became unhealthy, and only 10.6% regressed to a healthy normal weight (MHN) at the end of follow-up. Compared with MHN participants, MHO participants had higher odds of increased baPWV (OR: 1.18, 95% CI, 0.42–3.33) and increased risks of incident hypertension (HR: 1.87, 95% CI, 1.18–2.98) and diabetes (HR: 2.61, 95% CI, 1.35–5.03). Metabolic deterioration during follow-up resulted in an increased risk of baPWV and clinical diseases.ConclusionsThe natural trajectory of metabolite BMI phenotypes is time-varying, and interventions for both healthy and unhealthy overweight/obese individuals should be widely recommended.     

Assessing body shape index as a risk predictor for cardiovascular diseases and metabolic syndrome among Iranian adults

ObjectiveSeveral studies have concluded a positive association between abdominal obesity, general obesity, and chronic diseases. However, the best anthropometric measures to predict the risk for chronic diseases should be clarified in each population. Therefore, the aim of this study was to compare the predictive power of A Body Shape Index (ABSI), body mass index (BMI), and waist-to-height ratio and Clinica Universidad de Navarra-Body Adiposity Estimator for metabolic syndrome (MetS) and cardiovascular disease (CVD) risks among Iranians in different age and sex categories.MethodsThis population-based cross-sectional study conducted on 9555 individuals, ages ≥19 y. Anthropometric measures, blood pressure, and biochemical markers were measured using standard protocols. Hypertension, hyperglycemia, hypercholesterolemia, high low-density lipoprotein cholesterol and low high-density lipoprotein cholesterol levels were considered as the CVD risks.ResultsMean (SD) of age and BMI of participants were 38.7 y (mean 15.5) and 25.7 kg/m² (mean 4.6), respectively. ABSI demonstrated the weakest correlations and lowest area under curve (AUC) for various risk factors and MetS. However, the highest odds ratio was observed for ABSI and MetS in different age and sex categories.ConclusionsBased on the AUC, we concluded that ABSI is a weak predictor for CVD risks and MetS. More studies are needed to determine the best predictor of CVD risk among the Iranian population.     

2型糖尿病患者肥胖状态与肱踝脉搏波传导速度的相关性

  目的  探讨2型糖尿病（type 2 diabetes,T2DM）患者全身性肥胖（overall obesity,OO）、中心性肥胖（abdominal obesity,AO）状态与肱踝脉搏波传导速度（brachial-ankle pulse wave velocity,baPWV）的关联。  方法  以北京某社区T2DM患者为研究对象,收集人口学资料、体格检查数据、血液生化指标及baPWV。采用多元线性回归分析各肥胖指标与baPWV的关联,采用Logistic回归模型探讨肥胖状态与baPWV异常（baPWV≥1700 cm/s）的关联。  结果  共纳入2 048名研究对象,平均年龄（59.2±8.3）岁,baPWV异常率为49.7%。调整年龄、糖尿病病程、高血压等混杂因素后,多元线性回归发现体重指数（body mass index,BMI）与baPWV负相关、腰臀比（waist-to-hip ratio,WHR）与baPWV正相关。Logistic回归分析发现与BMI正常组相比,BMI肥胖组baPWV异常（OR=0.59,95% CI:0.44~0.78,P < 0.001）;与WHR正常组相比,WHR肥胖组baPWV异常（OR=1.46,95%CI:1.07~2.00,P < 0.001）;与既无OO也无AO组患者相比,无OO但有AO组患者baPWV异常（OR=1.67,95%CI:1.19~2.35,P=0.003）。  结论  T2DM患者中,AO与baPWV间存在显著的关联,尤其是BMI不肥胖但WHR肥胖的糖尿病患者需要密切随访动脉僵硬度。     

Adiposity measurements in association with metabolic syndrome in older men have different clinical implications

Obesity is a major public health problem, and measuring adiposity accurately and predicting its future comorbidities are important issues. Therefore, we hypothesized that 4 adiposity measurements, body mass index (BMI), waist circumference (WC), waist-to-height ratio, and body fat percentage, have different physiological meanings and distinct associations with adverse health consequences. This study aimed to investigate the relationship of these 4 measurements with metabolic syndrome (MetS) components and identify the most associated factor for MetS occurrence in older, non-medicated men. Cross-sectional data from 3004 men, all 65 years of age and older, were analyzed. The correlation and association between adiposity measurements and MetS components were evaluated by Pearson correlation and multiple linear regression. Based on multivariate logistic regression, BMI and WC were significantly associated with MetS and were selected to build a combined model of receiver operating characteristic curves to increase the diagnosis accuracy for MetS. The results show that BMI is independently associated with systolic and diastolic blood pressure; WC and body fat percentage are associated with fasting plasma glucose and log transformation of triglyceride; BMI and WC are negatively associated with high-density lipoprotein cholesterol (HDL-C); and WC is a better discriminate for MetS than BMI, although the combined model (WC + BMI) is not significantly better than WC alone. Based on these results, we conclude that the 4 adiposity measurements have different clinical implications. Thus, in older men, BMI is an important determinant for blood pressure and HDL-C. Waist circumference is associated with the risk of fasting plasma glucose, HDL-C, triglyceride, and MetS occurrence. The combined model did not increase the diagnosis accuracy.     

An evaluation of the metabolic syndrome in the HyperGEN study

BACKGROUND: In 2001 the National Cholesterol Education Program (NCEP) provided a categorical definition for metabolic syndrome (c-MetS). We studied the extent to which two ethnic groups, Blacks and Whites were affected by c-MetS. The groups were members of the Hypertension Genetic Epidemiology Network (HyperGEN), a part of the Family Blood Pressure Program, supported by the NHLBI. Although the c-MetS definition is of special interest in particular to the clinicians, the quantitative latent traits of the metabolic syndrome (MetS) are also important in order to gain further understanding of its etiology. In this study, quantitative evaluation of the MetS latent traits (q-MetS) was based on the statistical multivariate method factor analysis (FA). RESULTS: The prevalence of the c-MetS was 34% in Blacks and 39% in Whites. c-MetS showed predominance of obesity, hypertension, and dyslipidemia. Three and four factor domains were identified through FA, classified as "Obesity," "Blood pressure," "Lipids," and "Central obesity." They explained approximately 60% of the variance in the 11 original variables. Two factors classified as "Obesity" and "Central Obesity" overlapped when FA was performed without rotation. All four factors in FA with Varimax rotation were consistent between Blacks and Whites, between genders and also after excluding type 2 diabetes (T2D) participants. Fasting insulin (INS) associated mainly with obesity and lipids factors. CONCLUSIONS: MetS in the HyperGEN study has a compound phenotype with separate domains for obesity, blood pressure, and lipids. Obesity and its relationship to lipids and insulin is clearly the dominant factor in MetS. Linkage analysis on factor scores for components of MetS, in familial studies such as HyperGEN, can assist in understanding the genetic pathways for MetS and their interactions with the environment, as a first step in identifying the underlying pathophysiological causes of this syndrome.     

Coffee consumption and the occurrence and intensity of metabolic syndrome: a cross-sectional study

The objective of the study was to investigate associations between coffee consumption and the occurrence of metabolic syndrome (MetS) and its components in individuals with a normal BMI, as well in those who are overweight and obese. The analysis was based on the data of 10,367 participants. The studies included a questionnaire interview, anthropometric measurements, blood pressure measurements and analyses of collected fasting-blood samples. In the overweight and obese participants, lower coffee consumption, compared with higher consumption was correlated with a significantly higher risk of abdominal obesity, hypertension, an abnormal glucose concentration, HDL cholesterol, triglycerides and MetS (p?p?相似文献   

腰围、腰高比与肱踝脉搏波传导速度的相关性研究

目的 研究腰围和腰高比与肱踝脉搏波传导速度(brachial-ankle pulse wave velocity,baPWV)的关系,探索腹型肥胖对外周动脉弹性的影响。 方法 选取2018年3月—2019年5月在中国医科大学附属第一医院体检中心体检的2 718名体检者,采用动脉硬化测定仪检测双侧肢体的baPWV,根据baPWV值分为正常组和升高组。同时检测其腰围、腰高比、体质指数(body mass index,BMI)、SBP、DBP及生化指标,用t检验比较两组间指标的差异,用多因素logistic回归分析影响baPWV的因素,用ROC曲线判断腰围、腰高比对baPWV的预测价值。 结果 t检验显示baPWV升高组的男性比例、年龄、腰围、腰高比、BMI、SBP、DBP、FBG、TG、TC、HDL-C、UA水平均较正常组高(P＜0.01)。多因素logistic回归分析显示腰围(OR=0.938,95%CI:0.884~0.995)、腰高比(OR=1.605,95%CI:1.486~1.804)、BMI(OR=0.881,95%CI:0.796~0.975)是影响baPWV的独立危险因素。腰围预测baPWV升高的最佳临界值为80.50 cm,ROC曲线下面积为0.725,此时灵敏度0.854,特异度0.483;腰高比预测baPWV升高的最佳临界值为0.495,ROC曲线下面积为0.762,此时灵敏度0.814,特异度0.548。 结论 腰围、腰高比升高是baPWV升高的独立危险因素,可预测外周动脉硬化的发生。     

BMI is strongly associated with hypertension, and waist circumference is strongly associated with type 2 diabetes and dyslipidemia, in northern Chinese adults

Background

Obesity is closely associated with chronic diseases such as hypertension, type 2 diabetes mellitus (T2DM), and dyslipidemia. We analyzed the optimal obesity index cut-off values for metabolic syndrome (MetS), and identified the obesity index that is more closely associated with these chronic diseases, in a population of northern Chinese.

Methods

We surveyed 8940 adults (age, 20–74 years) living in northern China for chronic diseases. Receiver operating characteristics (ROC) analysis, relative risk, and multivariate regression were used to develop an appropriate index and optimal cut-off values for MetS and obesity-related chronic diseases.

Results

Waist circumference (WC) and body mass index (BMI) were good markers for MetS, WC was a good marker for T2DM and dyslipidemia, and BMI was a good marker for hypertension. The optimal BMI cut-off value of MetS was 24 kg/m², and the optimal WC cut-offs were 86 cm and 78 cm in men and women, respectively. Relative risk regression models showed that BMI was associated with hypertension, T2DM, and hypertriglyceridemia and a higher prevalence ratio (PR) for hypertension: 2.35 (95% CI, 2.18–2.50). WC was associated with T2DM, hypertension, and hypertriglyceridemia, with PRs of 2.05 (1.63–2.55) for T2DM and 2.47 (2.04–2.85) for hypertriglyceridemia. In multivariate regression models, the standardized regression coefficients (SRCs) of BMI were greater for SBP and DBP, and the SRC of WC was greater for fasting blood glucose, 2-hour postload blood glucose, triglyceride, and total cholesterol.

Conclusions

Our analysis of a population of northern Chinese indicates that the optimal cut-off values for MetS are WCs of 86 cm in men and 78 cm in women and a BMI of 24 kg/m² in both sexes. BMI was strongly associated with hypertension, while WC was strongly associated with T2DM and dyslipidemia.Key words: obesity, chronic disease, cut-off value