应用简易体脂参数估测男性2型糖尿病患者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)估测男性2型糖尿病患者腹内型肥胖的最佳临界点、敏感度及特异度.[方法]应用CT对91例男性2型糖尿病患者在腰椎4-5间隙水平进行腹腔内脏器脂肪含量(VA)的测量,同时测量其体重(BW)、身高(H)、腰围(WC)、臀围(HC)、并计算体重指数(BMI)和腰臀比(WHR).以受试者工作特性(ROC)曲线评价简易体脂参数对男性2型糖尿病患者腹内型肥胖的诊断价值.[结果]②经CT诊断,超重及肥胖者中89.80%、正常体重者中47.62%呈腹内型肥胖(VA≥100 cm2);③BMI、WC、WHR与腹内脂肪面积呈正相关关系,尤以BMI、WC的相关性为好;③简易体脂参数估测男性2型糖尿病患者腹内脂肪积聚的最佳切割点为BMI:25 kg/m2,WC:90 cm,WHR:0.93;④当BMI≥28 kg/m2,100%的患者为腹内型肥胖,当WC≥95cm时,91.90%的患者为腹内型肥胖.[结论]BMI、WC及WHR都可估测男性2型糖尿病患者腹内型肥胖,但以BMI、WC的准确率为高.     

腰围/身高比值与非肥胖者心血管危险因素聚集关系

目的本研究旨在探讨腰围/身高比值（WHtR）这一腹型肥胖指标用于评价非肥胖者心血管危险因素聚集的价值。方法 BMI〈25 kg/m2的健康体检者,测量血压、身高、体重、腰围（WC）、臀围,计算体重指标（BMI）、WHtR及腰臀围比（WHR）,并检测血糖、血脂等。采用偏相关系数分析WHtR、BMI、WC及WHR与危险因素聚集的关系,受试者工作特征（receiver operator characteristic,ROC）曲线分析各肥胖指标预测危险因素聚集的效能。结果偏相关分析与显示,调整年龄的影响后,各肥胖指标与心血管危险因素聚集呈显著相关（P〈0.05）,男女均以WHtR的相关系数最大。ROC分析显示：针对≥2个危险因素聚集,男女性均以WHtR的曲线下面积最大。结论 WHtR是有效的预测非肥胖者心血管危险因素聚集的中心性肥胖指标。     

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。     

上海市某社区老年居民腹型肥胖与糖尿病的关系

以腹部肥胖为特征的中心性肥胖是导致多种疾病如心脑血管疾病、糖尿病的独立危险因子，体重指数（BMI）、腰围（WC）和腰臀比（WHR）作为简易的肥胖体表测量指标已广为接受，而腰围／身高比值（WHtR）也是方便有效的肥胖体表测量指标。因此，我们以徐家汇中心城区部分60岁以上老年居民为对象，通过调查糖尿病与WHtR、BMI、WC、WHR的关系，评价这4个指标对于预测糖尿病（DM）发生风险的可行性和价值，以期能为进一步的干预提供一定依据。     

新疆哈萨克族高尿酸血症与4个体脂指标的关系

目的研究新疆哈萨克族高尿酸血症与肥胖及相关体脂指标的关系。方法随机抽取新疆阿勒泰地区医院哈萨克族门诊体检及住院的病人339例为研究对象,其中高尿酸组172例,尿酸正常组167例。测量身高、体重、腰围、臀围,并计算体脂相关指标。结果体脂肪相关指标中体重、腰围、臀围、体质指数（BMl）、腰围/身高（WHTR）均为高尿酸组高于对照组,差异有统计学意义（P〈0.05）;相关性分析中,血尿酸与体重、腰围、臀围、BMI、腰臀比（WHR）、WHTR呈显著正相关;4个指标的受试者工作特征曲线（ROC）曲线分析：曲线下面积以BMI和腰围最大,BMI为0.625（95%CI：0.553～0.697）,腰围为0.606（95%CI：0.534～0.678）,BMI最佳切点为27,腰围的最佳切点值为103;多元逐步回归分析显示,BMI、WHR是影响血尿酸的主要相关危险因素。结论体脂含量及分布与哈萨克族高尿酸血症存在着密切的关系,而BMI、WHR是影响高尿酸血症的危险因素。因此,控制体重并保持健康的体型对于防治哈萨克族高尿酸血症具有重要意义。     

肥胖人群前列腺体积比较分析

目的探讨肥胖与男性良性前列腺增生（BPH）的关系。方法入选253例40岁以上健康体检男性,经询问病史,测身高、体重、腰围、体脂肪率、血压、空腹血糖、血脂及前列腺B超,排除肥胖相关性疾病,按体质指数（BMI）分为正常组（18．5～23．9kg／m^2）、超重组（24．0～27．9kg／m^2）及肥胖组（≥28kg／m^2）,按腰围分为正常组（〈85cm）及腹型肥胖组（≥85cm）,按体脂肪率分为正常组（≤25％）及超标组（〉25％）,分析各组前列腺体积的差异,组间比较使用t检验及χ2检验。结果BMI正常组前列腺体积为（18．2±6．1）ml,超重组为（21．6±6．3）ml,肥胖组为（24．9±7．6）ml,正常组与超重组、肥胖组比较,差异有统计学意义。腰围正常组前列腺体积为（20．65．6）ml,腹型肥胖组为（23．5±6．2）ml,两组比较差异有统计学意义。体脂肪率正常组前列腺体积为（19．6±6．5）ml,超标组为（23．9±5．3）ml,两组比较前列腺体积差异有统计学意义。BMI、腰围及体脂肪率高的人群前列腺体积更大。BMI≥24kg／m^2人群中腰围正常或者体脂肪率正常人群,BPH发生率并无明显增高。结论肥胖是BPH的危险因素;腰围及体脂率超标者,发生BPH危险性更高。     

体重指数、腰围与代谢性健康风险的关系

目的比较体重指数（BMI）、腰围（WC）与代谢性健康风险的大小。方法对苏州市和常熟市两个社区的江苏省多代谢异常和代谢综合征（MS）防治研究中，经济发达地区基线资料的1604例对象按BMI和WC分组，在正常体重（BMI：18～23．9）、超重（BMI：24～27．9）、肥胖（BMI≥28）类别中，计算高血压、高血糖、血脂异常的相对危险度（RR），并对WC类别中腹型肥胖（男≥85cm，女≥80cm）和WC正常个体进行比较。结果无论是男性还是女性，其高血压、糖脂代谢各项指标以及MS的罹患率均与BMI和WC相关，控制混杂因素后，这样的相关性依然存在；但仅BMI超重时，各项表示代谢性健康风险的aRR值基本上都低于BMI超重合并腹型肥胖的aRR值；男、女性BMI正常但有腹型肥胖时，均较BMI超重而WC正常者的健康风险高。结论WC在表示代谢性健康风险方面比BMI更为有效。     

1661名农村中老年人健康状况调查的分析

目的调查了解农村中老年人的健康状况并对相关测量指标的应用进行分析。方法随机抽取青岛市某农村1661名中老年人（男612人,女1049人）进行体格检查,包括身高、体重、腰围、臀围、血压、血糖、血红蛋白等指标。结果 1661名农村中老年人高血压患病率为63.4%,高血糖检出率为23.8%,贫血患病率为35.3%。中老年女性体质指数（BMI）、腰围（WC）、腰围/身高比值（WHtR）均高于男性（P〈0.05）,男性腰围/臀围比（WHR）高于女性（P〈0.05）。65岁之前BMI、WC均较高（BMI〉25kg/m^2,WC〉85cm）,65岁以后随年龄升高BMI、WC有逐渐降低的趋势（P〈0.05）。BMI、WC、WHR、WHtR4者与收缩压、舒张压、血糖的正相关系数均为WHtR最大（P〈0.01）。结论农村中老年人高血压、高血糖、贫血患病率均较高,中老年女性超重和肥胖率高于男性,比男性更易发生高血糖,同时45～65岁中老年人超重和肥胖的发生率也较高;WHtR与BMI、WC、WHR、收缩压、舒张压和血糖的相关性均较强,可以作为有效的腹型肥胖指标和预测高血糖与高血压的有效指标。     

应用4种肥胖判定计算方法及标准2825例成人对比分析

目的探讨4种肥胖判定计算方法标准的差异。方法入选2825例住院患者和门诊查体人员，男性2446例，女性379例，年龄22～81岁。测定身高和体质量。通过公式计算标准体质量、体质量指数（BMI）和体脂含量及肥胖指数（OI）。根据BMI≥25kg/m^2、BMI≥27kg/m^2、BMI≥28kg/m^2判定肥胖者例数分别为：1419例、680例和435例；超出标准体质量20％者649例；体脂含量男性〉25％、女性〉33％者639例。结果〉标准体质量20％和超过标准体脂含量判定的肥胖均与BMI≥25kg/m^2判定肥胖的比较，差异有统计学意义（P〈0．05）；〉标准体质量20％和超过标准体脂含量判定的肥胖均与BMI≥27kg/m^2判定的肥胖比较，差异无统计学意义（P〉0．05）；〉标准体质量20％和超过标准体脂含量判定的肥胖均与BMI≥28kg/m^2判定的肥胖比较，差异有统计学意义（P〈0．05）。结论BMI≥27kg／m^2判定肥胖与超重20％和亚太地区的体脂含量判定肥胖标准相符。     

体质指数、腰围、腰臀比与高血压、高血糖的关系及三者对高血压、高血糖的预测价值

目的探讨体质指数（BMI）、腰围（WC）、腰臀比（WHR）与高血压、高血糖的关系及三者对高血压高血糖的预防价值。方法2006年4-9月整群抽取黑龙江省电力医院健康检查中心体检的1751人,测量身高、体重、腰围、臀围、血压和空腹血糖。结果①BMI、WC与血压的相关性比WHR好;WHR、WC与血糖的相关性比BMI好;②logistic回归分析表明3个指标中BMI是高血压重要的预测因子,而WC是高血糖及二者聚集重要的预测因子;③BMI、WC与WHR三者之间两两指标同时存在时对高血糖、高血压及二者聚集都存在交互作用;④当BMI≥25kg/m2时,其OR值在3.02-4.01之间,ARP在58.13%-69.21%之间,PARP在43.79%-55.77%之间;当WC≥85cm（男性）、WC≥80cm（女性）时,其OR值在4.04-6.70之间,PARP在56.47%-75.52%之间;敏感度和特异度均较好,正确指数高,具有较高的公共卫生价值。结论BMI、WC分别是高血压、高血糖重要的预测因子,以BMI≥25kg/m2或WC≥85cm（男性）、WC≥80cm（女性）为超重肥胖切点时,诊断价值最高,建议以此为诊断界值。     

Comparison of abdominal adiposity and overall obesity in predicting risk of type 2 diabetes among men

BACKGROUND: Obesity is a strong risk factor for type 2 diabetes. However, few studies have compared the predictive power of overall obesity with that of central obesity. The cutoffs for waist circumference (WC) and waist-to-hip ratio (WHR) as measures of abdominal adiposity remain controversial. OBJECTIVE: The objective was to compare body mass index (BMI), WC, and WHR in predicting type 2 diabetes. DESIGN: A prospective cohort study (Health Professionals Follow-Up Study) of 27 270 men was conducted. WC, WHR, and BMI were assessed at baseline. Covariates and potential confounders were assessed repeatedly during the follow-up. RESULTS: During 13 y of follow-up, we documented 884 incident type 2 diabetes cases. Age-adjusted relative risks (RRs) across quintiles of WC were 1.0, 2.0, 2.7, 5.0, and 12.0; those of WHR were 1.0, 2.1, 2.7, 3.6, and 6.9; and those of BMI were 1.0, 1.1, 1.8, 2.9, and 7.9 (P for trend < 0.0001 for all). Multivariate adjustment for diabetes risk factors only slightly attenuated these RRs. Adjustment for BMI substantially attenuated RRs for both WC and WHR. The receiver operator characteristic curve analysis indicated that WC and BMI were similar and were better than WHR in predicting type 2 diabetes. The cumulative proportions of type 2 diabetes cases identified according to medians of BMI (>/=24.8), WC (>/=94 cm), and WHR (>/=0.94) were 82.5%, 83.6%, and 74.1%, respectively. The corresponding proportions were 78.9%, 50.5%, and 65.7% according to the recommended cutoffs. CONCLUSIONS: Both overall and abdominal adiposity strongly and independently predict risk of type 2 diabetes. WC is a better predictor than is WHR. The currently recommended cutoff for WC of 102 cm for men may need to be reevaluated; a lower cutoff may be more appropriate.     

Optimal cut-offs of five anthropometric indices and their predictive ability of type 2 diabetes in a nationally representative Kenyan study

BackgroundType 2 diabetes (T2D) is one of the top non-communicable diseases in Kenya and prevention strategies are urgently needed. Intervening to reduce obesity is the most common prevention strategy. However, black populations develop T2D at lower obesity levels and it is unclear which anthropometric cut-offs could provide the best predictive ability for T2D risk. This study, therefore, aimed to determine the optimal anthropometric cut-offs and their predictive ability of T2D in Kenya.MethodsThe study included 2159 participants (59% women) aged 35–70 years from the Kenya STEPwise survey conducted in 2014. Five anthropometric indices were used—body mass index (BMI), waist circumference (WC), waist to hip ratio (WHR), waist to height ratio (WHtR) and waist divided by height^0.5(WHt.5R). Diabetes was defined as a fasting blood glucose of ≥7.0 mmol/l or a previous diagnosis by a health worker. Optimal anthropometric cut-offs and their receiver operating characteristics, such as the area under the curve (AUC), were computed.ResultsOverall, the optimal cut-off for BMI, WC, WHR, WHtR and WHt.5R were 24.8 kg.m⁻², 90 cm, 0.88, 0.54 and 6.9. On disaggregation by sex, the optimal cut-off for BMI, WC, WHR WHtR and WHt.5R was 27.1 kg.m⁻², 87 cm, 0.85, 0.55 and 6.9 in women, and 24.8 kg.m⁻², 91 cm, 0.88, 0.54 and 6.9 in men. Overall, WC (AUC 0.71 (95% confidence interval 0.65, 0.76)) WHtR (AUC 0.71 (0.66, 0.76)) and WHt.5R (AUC 0.70 (0.65,0.75)) had a better predictive ability for T2D than BMI (AUC 0.68 (0.62, 0.73)).ConclusionsWC, WHtR and WHt.5R were better predictors of T2D than BMI and should be used for risk stratification in Kenya. A WC cut-off of 87cm in women and 91cm in men, a WHtR cut-off of 0.54 or a WHt.5R of 6.9 in both men and women should be used to identify individuals at an elevated risk of T2D.     

Derivation of anthropometric cut-off levels to define CVD risk in Sri Lankan adults

Obesity is associated with increased cardiovascular risk. Anthropometric cut-off values derived for Caucasians may not be applicable to other populations. The main objective of the present study was to derive population-specific anthropometric cut-off values to define high CVD risk for Sri Lankan adults. A nationally representative sample of 4474 non-institutionalised adults aged ≥?18 years was analysed. Cut-off values to provide optimum sensitivity and specificity were derived using receiver-operating characteristic curve analysis. BMI, waist circumference (WC), waist-to-hip ratio (WHR), blood pressure and overnight fasting venous blood samples were collected to measure glucose, HDL-cholesterol and TAG. An oral glucose tolerance test was also performed. The results suggested that the age-adjusted BMI, WC and WHR were significantly associated with all cardiovascular risk factors (P?相似文献   

Evaluation of waist circumference to predict general obesity and arterial hypertension in women in Greater Metropolitan Belo Horizonte,Brazil

This study examined the capacity of waist circumference (WC) to identify subjects with overweight (BMI >/=25) and obesity (BMI >/=30), in agreement with internationally recommended levels of action. Data were obtained from 791 women, 15-59 years old. After identifying overweight and obesity according to WC values, sensitivity and specificity were calculated to verify whether WC could be a good risk predictor for hypertension. Associations were tested by linear regression and logistic regression, controlling for confounding. WC cut-off points of 80cm and 88cm correctly identified 89.8% and 88.5% of women with overweight and obesity, respectively. Abdominal obesity (WC >/=88cm) was statistically associated with hypertension in the multivariate analysis (OR = 2.88; 95% CI: 1.77-4.67). Hypertension was identified with a sensitivity of 63.8% and 42.8%, and with a specificity of 68.0% and 83.3%, for WC >/=80 and >/=88, respectively. The proposed cut-off points for abdominal obesity can potentially distinguish individuals at risk for future obesity, but has only moderate power to predict individuals with high blood pressure.     

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.     

Measures of adiposity in the identification of metabolic abnormalities in elderly men

BACKGROUND: Body mass index (BMI; in kg/m(2)) is considered a poor indicator of overall and abdominal obesity in the elderly. OBJECTIVES: Our goal was to determine which simple anthropometric measurements [BMI, waist-to-hip ratio (WHR), waist circumference (WC), percentage body fat (%BF), or fat mass (FM)] are most closely associated with metabolic risk factors and insulin resistance in elderly men. DESIGN: This was a cross-sectional study of 2924 men aged 60-79 y with no history of coronary heart disease, stroke, or diabetes who were drawn from general practices in 24 British towns. RESULTS: BMI and WC were the measures most strongly associated with the metabolic syndrome (>/=3 of the following: hypertension, low HDL cholesterol, high triacylglycerols, or high blood glucose) and insulin resistance. For a 1-SD increase in BMI, WC, WHR, %BF, and FM, the odds ratios (95% CIs) of having the metabolic syndrome after adjustment for age, socioeconomic status, smoking status, and physical activity were as follows: BMI, 1.61 (1.44, 1.79); WC, 1.65 (1.48, 1.81); WHR, 1.49 (1.34, 1.66); %BF, 1.41 (1.25, 1.59); and FM, 1.53 (1.38, 1.70). For insulin resistance, the odds ratios (95% CIs) were as follows: 2.48 (2.22, 2.77), 2.46 (2.19, 2.65), 1.75 (1.59, 1.93), 1.79 (1.60, 2.00), and 2.10 (1.88, 2.34), respectively. In normal-weight (BMI < 25) and overweight (BMI 25-29.9) men, the presence of the metabolic syndrome and insulin resistance increased with increasing WC; this did not occur in obese men. CONCLUSIONS: BMI and WC are the simple measures of adiposity most strongly associated with metabolic abnormalities in elderly men. Our findings suggest that WC can be used as a complementary measurement to identify health risks in normal-weight and overweight elderly persons.     

Dyslipidemia and abdominal obesity: an assessment in three general populations

Several studies show a relationship between abdominal obesity and cardiovascular diseases, partially mediated through an altered metabolism of dyslipidemia. The present study was aimed at testing the robustness of this association across three contrasted populations and at assessing the performances of abdominal obesity as a screening tool for dyslipidemia. Data were drawn from three population health surveys recently conducted in two regions of a developed country (Switzerland, mostly of Caucasian origin, n = 2650) and in a less developed country (Seychelles, Indian Ocean, mostly of black descent, n = 806). Dyslipidemia was defined as a ratio of total cholesterol to high-density lipoprotein cholesterol (TC-HDL) greater than 5. Two anthropometric circumference measurements, waist-to-hip ratio (WHR) and waist circumference (WC), were used to define abdominal obesity either as WHR >/= 0.9 in men and WHR >/= 0.8 in women or as WC >/= 94 cm and WC >/= 80 cm, respectively. A consistent direct association between abdominal obesity and dyslipidemia (odds ratios varying from 1.85 to 4.56) was found in the three populations, independently of gender, age, body mass index, blood pressure, and smoking. This consistency across ethnicities and environments strengthens the hypothesis of a common etiopathological mechanism. The sensitivity for detecting dyslipidemia was generally higher for abdominal obesity, based on either WHR or WC, than for criteria based on the other risk factors under study. In addition, the sensitivity was higher in the study populations with a low prevalence of dyslipidemia (Swiss women and Seychellois of both sexes) than in the others. These findings support that WHR and WC may be useful as simple and inexpensive screening tools to select individuals eligible for more sophisticated and costly serum lipid determinations, especially in developing countries.     

Obesity in the elderly and its relationship with cardiovascular risk factors in Taiwan

OBJECTIVES: The obese elderly are at increased risk of mortality, morbidity, and functional disability. In this study, we examined the prevalence of obesity and relationship between various anthropometric indices (AI) and cardiovascular disease (CVD) risk factors in the elderly. RESEARCH METHODS AND PROCEDURES: A stratified multistage clustered sampling scheme was used in the Elderly Nutrition and Health Survey in Taiwan during 1999 to 2000. 2432 non-institutionalized subjects (age, 72.8+/-9.4 years; BMI, 23.6+/-6.4 kg/m2) were recruited. The receiver operating characteristic analysis was used to compare predictive validity of CVD risk factors among various AI, including BMI, waist circumference (WC), and waist-to-hip ratio (WHR). RESULTS: The prevalence of obesity was 29.0% in men and 36.8% in women by obesity criteria for Asians (BMI>or=25 kg/m2) and 13.3% in men and 21.0% in women by the Taiwanese definition (BMI>or=27 kg/m2). Odds ratios of acquiring various CVD risk factors increased significantly with increment of WC, WHR, and BMI. The areas under the curve predicting metabolic syndrome were all <0.8. The cut-off values of WC corresponding to the highest sensitivity and the highest specificity in predicting various CVD risk factors were 86.2-88.0 cm in men and 82.0-84.0 cm in women, respectively. DISCUSSION: Obesity was prevalent in the Taiwanese elderly. WC was related to CVD risk factors to a greater extent than BMI and WHR. However, none of them alone was a good screening tool for CVD risk factors. Therefore, how to apply AI prudently to screen elderly for CVD risk factors needs further research.     

Diagnostic value of anthropometric indices for initial stage of atherosclerosis in adult women

Excess body weight is a cardiovascular risk factor. The relationship between anthropometric indices and cardiovascular health is not completely understood. Carotid Intima-Media Thickness (CIMT) is a subclinical marker of atherosclerosis. This study aimed to investigate the best anthropometric obesity indicator for diagnosis of initial stage of atherosclerosis by CIMT. This cross-sectional study included 100 adult women, aged 18-50 years. Anthropometric indices were measured with standard protocol and CIMT was measured by non-invasive ultrasound. Receiver Operating Characteristics (ROC) curve analysis was carried out to determine the optimal cut-off values of anthropometric indices, and the best indices for atherosclerosis diagnosis. On ROC curve analysis the suggested appropriate cut-offs of waist circumference (WC), waist to hip ratio (WHR), waist to height ratio (WHtR), body mass index (BMI) and percentage body fat (%BF) were 96 cm, 0.86, 0.64, 31.29 kg/m2 and 30.42%, respectively. The area under the ROC curve of BMI (AUC=0.74, 95%CI=0.62-0.86) and WHtR (AUC=0.74, 95%CI=0.63-0.85) were greater than other anthropometric indices. The AUC for WHR was the lowest among the studied obesity indices AUC=0.68 (95% CI=0.54-0.81). In our study, WHtR and BMI were the best diagnostic parameters of initial stage of atherosclerosis while WHR was the worst based on AUC.