中国成人腰围身高比与血脂异常的关系

目的研究中国成人腰围身高比（WHtR）与血脂异常的关系,并提出WHtR预测血脂异常的适宜截点。方法采用整群随机抽样,对2008至2009年度在4个全国性体检机构进行健康查体的221270名城市人群,测量其身高、体重、腰围（WC）,计算体质指数（BMI）和WHtR,并检测血脂四项。采用受试者工作特征曲线（ROC）比较曲线下面积,计算不同水平肥胖指标预测血脂异常的灵敏度和特异度,通过约登指数最大值找到适宜截点。结果WHtR在高TC血症、高TG血症及高LDL—C血症的ROC曲线下面积最大,其次为WC及BMI;WHtR最佳截点范围男性为0．49～0．50,女性为0．47～0．49;WC男性为83～85enl,女性为73～76em;BMI男性为24～25kg／m^2,女性为22～23kg／m^2。结论WHtR筛查不同类型的血脂异常优于WC和BMI,推荐适宜截点男女性均为0．5。     

简易体脂参数估测腹内型肥胖的可靠性评价

目的：评价体重指数（BMI）、腰围（WC）、腰臀比（WHR）估测腹内型肥胖的最佳临界点及敏感度、特异度。方法：应用核磁共振（MRI）对690名受试者（男305人，女385人）进行腹内脂肪（VA）测量，同时测量BMI、WC、WHR。以受试者工作特性（ROC）曲线评价简易体脂参数对腹内型肥胖的诊断价值。结果：①经MRI诊断，超重／肥胖者中61．7％，正常体重者中14．2％呈腹内型肥胖（VA≥100cm^2）；②BMI、WC、WHR与腹内脂肪面积呈显著正相关，尤以WC的相关性最好;③简易体脂参数估测腹内脂肪积聚的最佳切割点为BMI：26kg/m^2,WC:90cm,WHR:0.93;④BMI≥28kg/m^2、WC≥95cm时，95％的男性及90％左右的女性呈腹内型肥胖。结论：BMI、WC及WHR都可估测腹内型肥胖，但以腰围的准确率稍高。     

腰围身高比预测代谢综合征的切点研究

目的　研究腰围身高比与代谢综合征的关系,寻找腰围身高比预测代谢综合征的最佳切点。方法　采用横断面调查方法,纳入2012年1月至2014年6月在福建医科大学附属泉州第一医院进行体检的343名人员,体检项目包括腰围、身高、体质量、血压、实验室检查（包括空腹血糖、口服葡萄糖耐量试验2 h血糖、三酰甘油、高密度脂蛋白胆固醇）、CT测定腹腔内脂肪面积。通过受试者工作特征（ROC）曲线分析得到腰围身高比预测代谢综合征的最佳切点。结果　.343名体检者中共检出195例代谢综合征患者,总患病率为56.8%,其中男性患病率为70.2%（127/181）,女性患病率为42.0%(68/162)。在ROC曲线分析中,男性腰围身高比预测代谢综合征的曲线下面积为0.664,女性为0.673,男性及女性腰围身高比预测代谢综合征的最佳切点值分别为0.543 0（敏感度为88.2%,特异度为44.4%）和0.568 3（敏感度为86.8%,特异度为46.8%）。结论　泉州地区人群腰围身高比预测代谢综合征的最佳切点值男性为0.543 0,女性为0.568 3。     

体重指数、腰围和腰臀比预测高血压、高血糖的实用价值及其建议值探讨

目的：探讨体重指数（BMI）、腰围（WC）、腰臀比（WHR）对于预测高血压、高血糖患病的实用价值及其诊断建议值，为确定我国肥胖和腹部肥胖的诊断指标及其界值提供科学依据。方法：利用1995－1997年全国糖尿病（DM）流行病学调查资料进行分析，方法包括偏相关分析、logistic多因素回归分析、交互作用分析，计算BMI、WC、WHR在不同截点暴露对高血压、高血糖和二者聚集的相对危险度（RR）、暴露组归因危险百分比（ARP）和人群归因危险百分比（PARP）。结果：①BMI、WC与血压和血糖的相关性比WHR好；②logistic调整了年龄、性别、职业性体力活动强度、休闲活动强度、文化强度和DM家族史后，BMI、WC、WHR是患高血压、高血糖以及二者聚集重要的预测因子，三者的相对重要性以BMI＞WC＞WHR；③BMI、WC、WHR三者之间对于高血压和高血糖患病率有相加交互作用，尤其以BMI与WC的交互作用普遍存在，其归因交互作用百分比[A[（AB）]在5．95－29．34％之间；④BMI≥23、≥24、≥25时，RR在2．5左右，从流行病学角度看，RR值处于暴露因子与疾病关联的中高度有害范围，其ARP在0．580－0．626之间，从流行病学角度看，RR值处于暴露因子与疾病关联中的中高度有害范围，其ARP在0．580－0．626之间，PARP在0．259－3．08之间，⑤男性WC≥85cm、女性WC≥80cm和男性WC≥90cm，女性WC≥80cm，RR分别在2．06－3．08之间，此时腹部肥胖对高血压、高血糖和二者聚集的PR值分别处于中、高度有害；RR分别在0．515－0．676之间，PARP分别在0．241－0．431之间。结论：从暴露对疾病危害的程度，人们对超重和肥胖的可接受性，我国开展肥胖防治处于初期阶段及公共卫生人群预防的角度综合考虑，在BMI、WC、WHR中，预测我国高血压和高血糖的实用价值以BMI和WC为好，建议以BMI为肥胖指标，BMI≥24诊断为超重和肥胖；以WC为腹部肥胖指标，男性WC≥80cm、女性WC≥80cm为诊断界值。     

青少年体质指数预测偏高血压中曲线分析应用

目的 分析体质指数（BMI）预测偏高血压者工作特征（ROC）曲线下面积，观察中国儿童青少年超重、肥胖BMI分类标准超重、肥胖界值点预测偏高血压的灵敏度和特异度。方法 随机抽选1850名14～16岁北京中学生，测量身高、体重和血压。按中国儿童青少年超重、肥胖BMI分类标准，观察各组血压分布，绘制ROC曲线，观察曲线下面积，计算超重、肥胖界值点的灵敏度、特异度。结果 BMI预测偏高血压ROC曲线下面积均〉0．5（男0．789；女0．680。P〈0．001）。超重界值点比肥胖有更高灵敏度，而肥胖的界值点具有良好的特异度。结论 BMI预测偏高血压具有良好的有效性，且男生优于女生。     

不同肥胖指标对中国台湾35～74岁人群高血压的预测价值

目的评价体质指数（BMI）、腰围（WC）、腰臀比（WHR）及腰围身高比（WHtR）对中国台湾35～74岁人群高血压的预测价值。方法摘选台湾某健康体检中心2006年35～74岁人群48753人的健检资料,作各肥胖指标及各肥胖指标不同组合对高血压的受试者工作特征曲线（ROC曲线）,通过比较各个ROC曲线下面积（AUC）评价各肥胖指标对高血压的预测价值。结果不论男女,各肥胖指标及其不同组合对高血压的AUC均大于0.5。与BMI、WC及WHR相比,WHtR对高血压的AUC最大（男性0.686,95%CI：0.679～0.694;女性0.759,95%CI：0.751～0.767）,且差异有统计学意义（均有P〈0.001）。男女相比时,女性WHtR对高血压的AUC大于男性。不同肥胖指标相互组合时,BMI、WC、WHR与WHtR组合对高血压的AUC最大（男性0.693,95%CI：0.686～0.701;女性0.770,95%CI：0.762～0.778）。结论 WHtR能较好反映肥胖对中国台湾35～74岁人群尤其是女性人群高血压的影响,可能是预测高血压的理想肥胖指标。     

乌鲁木齐市376例维吾尔族居民体格测量指标与血压的关系

目的探讨维吾尔族居民不同体格测量指标与血压的关系,为高血压的干预提供科学依据。方法用随机整群抽样法对乌鲁木齐市维吾尔族较集中的4个社区中的376名40岁以上维吾尔族居民进行调查,测量身高、体重、腰围（WC）和血压,计算体质指数（BMI）和腰围身高比值（WHtR）,同时探讨BMI、WC、WHtR与血压的关系。结果376名维吾尔族居民中,超重和肥胖的检出率分别为29．79％和51．60％,高血压检出率为45．74％。分别以性别将WHtR以0．5、WC以85／80cm和BMI以24．0kg／m^2为切点进行分组后,WC≥85cm的男性SBP【（138．3±20．9）mmHg】、DBP[（82．3±12．1）mmHg]高于WC〈85cm的男性[分别为（124．7±16．3）和（74．0±7.3）mmHg】,差异有统计学意义（P〈0．01）;WC≥80cm的女性SBP[（135．0±21．8）mmHg]、DBP[（77．9±10．5）mmHg]均高于WC〈80cm的女性[分别为（116.2±18．1）、（70．4±7．6）mmHg],差异有统计学意义（P〈0．01）;BMI≥24．0kg／m^2的男性SBP[（140．2±21．3）mmHg]高于BMI〈24．0kg／m^2的男性[（126．3±14．7）mmHg],差异有统计学意义（t=-4．028,P=0．001）;BMI≥24．0kg／m^2的女性SBP[（136．7±21．9）mmHg]、DBP[（78．2±10．8）mmHg]均高于BMI〈24．0kg／m^2的女性[分别为（119．1±16．9）、（73．4±8．5）mmHg],差异均有统计学意义（P〈0．01）;WHtR≥0．5女性组的SBP[（134．8±21．8）mmHg]、DBP[（77．8±10．5）mmHg]均高于WHtR〈0．5组[分别为（116．6±19．5）和（70．5±8．3）mmHg],差异均有统计学意义（P〈0．01,P〈0．05）。男性BMI与SBP呈正相关（r=0．180,P〈0．05）,女性WHtR、WC、BMI均与SBP、DBP呈正相关（P〈0．01）。结论维吾尔族居民超重和肥胖问题显著,高血压检出率高,BMI、WC和WHtR与血压之间具有稳定的正向关系,WHtR在预测高血压的风险方面有一定作用。     

中国三省成年居民肥胖指标与高血压和血脂异常的关系

目的探讨中国成年居民肥胖指标与高血压和血脂异常的关系。方法于2012年采用多阶段随机抽样法,测量辽宁、河南、湖南三省1022名18~69岁成年居民的身体数据,描述体质指数(BMI)、腰围(WC)、腰高比(WHtR)、腰臀比(WHR)和体脂率(BF%)判定的超重/肥胖率,绘制受试者工作特征(ROC)曲线,分析不同体测指标预测高血压及血脂异常患病风险的能力。结果各项身体测量指标的比较中,男性WC显著高于女性[(86.1±10.2)vs.(80.7±9.9),P0.001],腿围(ThC)差异无统计学意义[(51.5±5.3)vs.(51.7±4.5)],而腿围身高比(THtR)男性低于女性[(0.31±0.03)vs.(0.33±0.03),P0.001]。根据各肥胖指标判定我国成年居民的超重/肥胖率:WHtR(58.7%)WHR(50.4%)BMI(49.1%)BF%(35.7%)WC(35.3%),其中BMI的肥胖检出率为13.2%,大幅低于其他指标。以高血压为因变量绘制受试者工作特征曲线(ROC),曲线结果显示男、女性WHtR的ROC曲线下的面积(area under curve,AUC)均最高,切点值分别为0.53和0.56;以高胆固醇血症为因变量,结果显示男、女性WHR的AUC均最大且在男性中为唯一有意义的指标;以高甘油三酯血症为因变量,结果显示BMI、WC、WHtR、WHR、BF%的预测效果相当;以低高密度脂蛋白胆固醇血症为因变量,结果显示ThC和THtR的预测效果优于BMI、WC、WHR等常用指标,尤其在男性居民中差异更加显著,得到男、女性ThC的切点值分别为52.50和55.40,THtR的切点值分别为0.31和0.35。结论男性脂肪更易囤积于腹部,女性脂肪易于在腿部蓄积;WHtR是预测高血压的最佳肥胖指标,在预测高血压和血脂异常的患病风险中切点值较稳定且性别差异小,适宜切点值在0.51~0.54之间;血脂异常的不同临床分类与肥胖指标间的关系不尽相同:WHR在预测高胆固醇血症患病风险中效果最好,ThC和THtR在预测低高密度脂蛋白血症的患病风险中效果优于BMI、WC等常用指标,在男性居民中尤为明显。     

体检人群颈围与中心性肥胖的关联性研究

目的探讨医院体检人群颈围与中心性肥胖测量指标的关联性。方法对4236名体检者进行体格检查,以颈围的均值四分位数分组,对各组年龄、身高、体重、体质指数（BMI）、腰围、臀围、腰臀比等的均值平均变化量进行比较。以腰围、BMI、腰臀比三种肥胖标准进行分组,分析颈围与肥胖的关系。以ROC曲线分析法判断颈围的切点。结果男性颈围为（37．40±2．46）cm,女性为（32．46±2．24）cm,男性大于女性（t=47．20,P〈0．01）。随着颈围均值每四分位数的增加,男性和女性年龄、身高、体重、BMI、腰围、臀围、腰臀比的平均变化量均呈增加趋势,差异均有统计学意义（P〈0．05）,其中腰围（男性：5．58cm,女性：5．26cm）、体重（男性：6．25kg,女性：4．81kg）的平均变化量最大。三种肥胖标准分组中肥胖组的颈围均大于正常组,差异均有统计学意义（P〈0．01）。对于中心性肥胖,男性颈围的切点是36．8cm,女性颈围的切点是33．1cm。结论颈围与年龄、身高、体重、BMI、腰围、臀围、腰臀比呈正相关关系。颈围与中心性肥胖存在显著联系,男性颈围〉36．8cm或女性颈围〉33．1cm时可以预测中心性肥胖。     

不同肥胖参数预测成年男性阻塞性睡眠呼吸暂停低通气综合征的准确性评价

目的利用受试者工作特征（ROC）曲线探讨体重指数（BMI）、颈围、腰围及腰臀比等不同的肥胖参数预测、筛查、确诊成年男性阻塞性睡眠呼吸暂停低通气综合征（OSAHS）的最佳切点或参考切点并比较其价值。方法分析1110例成年男性患者的BMI、颈围、腰围及腰臀比与呼吸暂停低通气指数（AHI）之间的相关关系；用ROC曲线确定BMI、颈围、腰围、腰臀比预测OSAHS（AHI≥5次／h）的最佳切点及筛查、确诊OSAHS的参考切点；用ROC曲线下面积（AUC）判断各肥胖参数的整体准确性。结果①成年男性BMI、颈围、腰围及腰臀比均与AHI呈正相关，其相关系数分别为0．373、0．276、0．291、0．127，P值均〈0．001；②BMI、颈围、腰围检出OSAHS的最佳切点值分别为26．5kg／m。、39cm、95cm，其诊断灵敏度分别为54％、57％、64％，特异度分别为73％、65％、53％；③ROC曲线分析显示BMI在检出成年男性患者有无OSAHS存在时比其他肥胖参数更有价值；④灵敏度达90％左右，漏诊率10％左右时不同肥胖参数筛查OSAHS的切点分别为BMI23kg／m^2、颈围35cm、腰围85cm；⑤特异度达90％左右，误诊率10％左右时不同肥胖参数确诊OSAHS的切点分别为BMI29kg／m^2、颈围43cm、腰围105cm。结论BMI预测成年男性OSAHS的价值大于颈围、腰围、腰臀比；BMI≥26．5kg／m^2、颈围≥39cm、腰围≥95cm可作为预测成年男性OSAHS的最佳切点；BMI≥23kg／m^2、颈围≥35cm、腰围≥85cm可作为筛查成年男性OSAHS的参考标准；BMI≥29kg／m^2、颈围≥43cm、腰围≥105cm可作为诊断成年男性OSAHS的参考标准。     

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     

Waist circumference, body mass index and health risk factors among middle aged Thais

Body mass index (BMI) and waist circumference (WC) are important contributors to major causes of health risk factors such as high blood cholesterol, high fasting blood sugar and high blood pressure. This analysis was designed to assess the associations between WC, BMI and each health risk factor in suitable cut-off points for WC and BMI among middle aged men and women of Thai population. Cross sectional data from the Second National Health Survey in Thailand was analysed. This set of data collected by the Ministry of Public Health from 1996 to 1997 was obtained from a total of 998 subjects (comprising 396 men and 602 women) aged 45-50. Results from the Receiver Operating Characteristic curve (ROC curve) identified those with health risk factors demonstrating cut-off points for WC between 81.5-84 centimeters for men and 76-80.5 centimeters for women and BMI between 23.3-23.9 kg/m2 for both genders, respectively. Results from the Multiple logistic regression analysis demonstrated lower risks of having high blood cholesterol, high fasting blood sugar and high blood pressure with cutoff points 84 cm for men, 80 cm for women and BMI 23 kg/m2 for both genders compared to cut-off points 102 cm for men, 88 cm for women and BMI 25 kg/m2 for both genders as specified for the population in Western countries. This study has proposed a waist circumference of 84 cm (33.6 inches) for middle aged Thai men and 80 cm (32 inches) for middle aged Thai women and BMI of 23 kg/m2 for both genders. Monitoring changes in the waist circumference over time along with BMI may be convenient and useful for middle aged Thais to prevent health risk conditions, even in the absence of a change in BMI.     

中国成年人代谢异常相关的体质指数和腰围切点研究

目的 研究中国成年人BMI和腰围与各项代谢危险因素之间的相关性,确定超重肥胖的适宜BMI和腰围切点。方法 中国慢性病前瞻性研究于2004-2008年进行基线调查,并于2013-2014年随机抽取了5%的研究对象进行第2次重复调查。本研究剔除体格指标或代谢危险因素变量缺失或极端值、自报患有恶性肿瘤者,基线纳入501 201人,第2次重复调查纳入19 201人。比较不同BMI和腰围下代谢危险因素异常率,通过受试者工作特征（ROC）曲线分析,确定预测高血压、糖尿病、血脂异常和危险因素聚集的适宜BMI和腰围切点。结果 随BMI或腰围的增加,高血压、糖尿病、血脂异常和危险因素聚集患病率均呈现上升的趋势。依据正确指数最大的原则选取BMI超重切点和腰围切点,男性和女性BMI超重切点均接近24.0 kg/m²,男性腰围切点接近85 cm,女性腰围切点约为80~85 cm。男性和女性中,检出各项代谢危险因素特异度达到90%的BMI切点范围为27.0~28.9 kg/m²,多数接近28.0 kg/m²,以28.0 kg/m²作为肥胖切点。结论 本研究在更新开展的大样本调查中进一步验证了中国肥胖问题工作组2002年推荐的超重和肥胖标准,超重和肥胖的BMI切点分别为24.0和28.0 kg/m²;中心性肥胖的腰围适宜切点男性为85 cm,女性为80~85 cm。     

Identifying obesity indicators which best correlate with type 2 diabetes in a Chinese population

ABSTRACT: BACKGROUND: Obesity has been shown to be a prognostic indicator of type 2 diabetes (T2D); however, the power of different obesity indicators in the detection of T2D remains controversial. This study evaluates the detecting power of body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR) and waist-to-height ratio (WHTR) for the presence of T2D in undiagnosed diabetics among the Chinese population. METHODS: Individuals were selected from an ongoing large-scale population-based Beijing Community Pre-Diabetes (BCPD) study cohort. The oral glucose tolerance tests (OGTT) were performed to diagnose diabetes. A total of 220 new cases of T2D and 1,868 normal blood glucose subjects were analyzed. ROC curve analyses were used to compare the association of different obesity indicators with T2D and determine the optimal cut-off points of the best predictor for identifying T2D in men and women. RESULTS: All indicators positively correlated with presence of T2D in both men and women. In women, WC, WHR and WHTR were similar, but were better in identifying T2D when compared to BMI (P < 0.0001, P=0.0016 and P=0.0001, respectively). In men, WC, WHTR and BMI were similar, but WC and WHTR were better than WHR (P=0.0234, P=0.0101, respectively). For women, 86 cm was the optimal WC cut-off point, and its sensitivity and specificity were 0.714 and 0.616; for men, the optimal cut-off point was 90 cm, and its sensitivity and specificity were 0.722 and 0.571. CONCLUSION: Compared with BMI, WHR and WHTR, WC is a simple and accurate measure for predicting T2D in the Chinese population.     

Prediction of metabolic syndrome among postmenopausal Ghanaian women using obesity and atherogenic markers

ABSTRACT: BACKGROUND: Metabolic syndrome (MetS) is an important health problem which puts individuals at risk for cardiovascular diseases and type 2 diabetes as well as obesity-related cancers such as colon and renal cell in men, and endometrial and oesophageal in women. OBJECTIVE: This study was aimed at examining how obesity indicators and related determinants influence metabolic syndrome, and how the factors can be used to predict the syndrome and its cut-offs in postmenopausal Ghanaian women. METHODS: Two hundred and fifty (250) Ghanaian subjects were involved in the study with one hundred and forty-three (143) being premenopausal women and one hundred and seven (107) postmenopausal women. The influence of traditional metabolic risk factors including high blood pressure, dyslipidemia and glucose intolerance on obesity and atherogenic indices i.e. body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), Waist-to-thigh ratio (WTR), waist-to-height ratio (WHtR), high density lipoprotein cholesterol to total cholesterol ratio (HDL-C/TC), high density lipoprotein cholesterol to low density lipoprotein ratio (HDL-C/LDL-C) and triglyceride to high density lipoprotein cholesterol ratio (TG/HDL-C) were identified according to the Harmonization (H_MS) criterion. RESULTS: The most significant anthropometric marker that significantly influence metabolic risk factors among the pre- and postmenopausal women was waist-to-hip ratio (premenopausal: p- 0.004, 0.026 and 0.002 for systolic blood pressure (SBP), fasting blood glucose (FBG) and HDL-C; postmenopausal: p-0.012, 0.048, 0.007 and 0.0061 for diastolic blood pressure (DBP), FBG, triglyceride (TG) and high density lipoprotein cholesterol (HDL-C) respectively). Using the receiver operating characteristic (ROC) analysis, the area under the curve for WC, WHR, TG/HDL-C and HDL-C/TC among postmenopausal women were estimated at 0.6, 0.6, 0.8 and 0.8 respectively. The appropriate cut-off values for WC, WHR, TG/HDL-C and HDL-C/TC that predicted the presence of metabolic syndrome were 80.5 cm, 0.84, 0.61 and 0.34 respectively. CONCLUSION: The presence of metabolic syndrome among Ghanaian postmenopausal women can be predicted using WC, WHR, TG/HDL-C and HDL-C/TC.     

老年人群体质指数和腰围与心血管病危险因素聚集的研究

目的探讨老年人群体质指数、腰围与心血管病危险因素聚集的关系。方法对654名老年人进行健康查体,对不同体质指数（BMI）、腰围（WC）老年人的收缩压（SBP）、舒张压（DBP）、总胆固醇（TC）、甘油三酯（TG）、高密度脂蛋白胆固醇（HDL-C）和空腹血糖（FPG）平均水平及高血压、高TC、高TG、低HDL-C、糖尿病检出率进行分析,对心血管病危险因素聚集性进行分析。结果BMI、WC升高是老年人最常见的心血管病危险因素。随着BMI、WC的增加,老年人SBP、DBP、TC、TG、FPG平均水平明显升高,HDL-C平均水平降低,高血压、高TC、高TG、糖尿病的检出率明显增高。BMI为24．0～27．9ks／m^2时,老年人高血压、高TC、高TG、糖尿病的检出率分别为59．74％、3．89％、28．57％、10．06％,患高血压、高TG、糖尿病的危险性分别是正常BMI的1．65、1．88、1．85倍;BMI≥28．0ks／m^2时,老年人高血压、高TC、高TG、糖尿病的检出率分别为83．05％、5．08％、35．59％、15．25％,患高血压、高TG、糖尿病的危险性分别是正常BMI的5．44、2．60、2．98倍。男性WC≥85cm、女性WC≥80cm时,老年人高血压、高TC、高TG、糖尿病的检出率分别为66．15％、4．47％、29．57％、10．12％,患高血压、高TC、高TG的危险性分别是正常WC的3．52、6．51、1．68倍。BMI≥24．0kg／m^2或男性WC≥85cm、女性WC≥80cm的老年人伴随多个心血管病危险因素的比例显著增高。结论BMI、WC升高是导致老年人群心血管病危险因素聚集的重要因素。     

Prospective study of optimal obesity index cutoffs for predicting development of multiple metabolic risk factors: the korean genome and epidemiology study

Background: In this prospective cohort study, we estimated the risk of developing more than 1 metabolic risk factor, using different obesity indices. In addition, we investigated the relative usefulness of the obesity indices for predicting development of such risk factors and calculated optimal cutoffs for the obesity indices.Methods: The cohort comprised 10 038 representative residents of a small city and a rural county who were recruited in 2001-2002. Follow-up examinations were conducted every 2 years. Among the 3857 participants without metabolic syndrome at baseline, 1102 new cases occurred during the 6-year follow-up. Receiver operating characteristic (ROC) curves for the obesity indices were plotted to compare the usefulness of the obesity indices.Results: The numbers of new cases of multiple metabolic risk factors among people in the highest quintiles of body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), and waist-height ratio at the baseline examination were 2 to 3 times those in the lowest quintiles. The area under the ROC curve for WHR was significantly higher than that for BMI. The optimal BMI cutoff was 24 kg/m(2) in men and women, and the optimal WC cutoffs were 80 cm and 78 cm in men and women, respectively.Conclusions: Both overall obesity and central obesity predicted risk of developing multiple metabolic risk factors, and WHR appeared to be a better discriminator than BMI. To prevent development of metabolic diseases among Koreans, it might be useful to lower the cutoff for abdominal obesity, as defined by WC.     

Appropriate waist circumference cutoff values for persons with multiple cardiovascular risk factors in Japan: a large cross-sectional study

BACKGROUND: In Japan, the current standard waist circumference cutoff value for persons with multiple cardiovascular risk factors remains controversial. In this study we aimed to analyze the health-check examination data from a large Japanese population and propose a revised waist circumference cutoff value. METHODS: Subjects of this study were 12,725 adults who underwent a health-check by thorough medical examination between April 2006 and March 2007. Medical examinations included measurement of waist circumference, fasting blood triglycerides, HDL cholesterol, glucose concentrations, blood pressure and collection of demographic characteristics. Receiver operating characteristic (ROC) curve analysis was utilized to find appropriate waist circumference cutoff values in relation to multiple cardiovascular risk factors with two or more of the following: dyslipidemia (hypertriglyceridemia or low HDL cholesterol), hypertension, and hyperglycemia defined by the Japanese criteria of metabolic syndrome. RESULTS: The average age of the subjects was 50.7 years (standard deviation [SD]: 8.8) for men and 49.7 years (SD: 8.6) for women. ROC curve analysis showed maximum sensitivity plus specificity at a waist circumference of 87 cm in men (0.66 and 0.62, respectively) and 83 cm in women (0.73 and 0.70). When analyzed by ten-year age groups, the ROC curves for younger age groups were shifted up and to the left compared to older age groups, but associations between cutoff values and age were not clear. CONCLUSION: In Japan, the appropriate cutoff value of waist circumference for persons with multiple cardiovascular risk factors is 87 cm for men and 83 cm for women.