人体测量指标预测肥胖儿童非酒精性脂肪肝的研究

目的 研究人体测量指标对儿童肥胖伴非酒精性脂肪肝的预测作用,探讨不同指标筛查非酒精性脂肪肝的切点值。方法 选取自2018年6月—2019年12月在西安交通大学第二附属医院小儿内分泌门诊就诊的94例肥胖儿童为研究对象,进一步分为肥胖伴非酒精性脂肪肝组与肥胖不伴非酒精性脂肪肝组,52例正常儿童为对照组。测量身高(H)、体重(W)、腰围(WC)、臀围(HC)和血甘油三酯(TG)、总胆固醇(TC)、高密度脂蛋白胆固醇(HDL-C)、低密度脂蛋白胆固醇(LDL-C);行肝脏B超的检查。计算体质指数(BMI)、腰臀比(WHR)、腰高比(WHtR)、腹部体积指数(AVI)、脂质蓄积指数(LAP)和内脏脂肪指数(VAI)等指标。通过绘制人体测量指标的受试者工作特征曲线(ROC曲线)评估人体测量指标与肥胖儿童非酒精性脂肪肝的相关性,并比较各项人体测量指标的曲线下面积(AUC)确定切点值。结果 肥胖组BMI、WC、WHR、WHtR、AVI、LAP、VAI及TG均高于对照组(t=23.090、21.068、12.547、22.855、17.578、8.159、5.394、6.183,P＜0.001)。肥胖伴非酒精性脂肪肝组BMI、WC、AVI、LAP、VAI均高于肥胖不伴非酒精性脂肪肝组(t=2.180、2.389、2.362、3.643、2.839,P＜0.05)。人体测量指标的ROC曲线下面积按从大到小的顺序依次为 LAP、VAI、 WC、 AVI、 BMI。对肥胖伴非酒精性脂肪肝的联合诊断指标进行筛查效能分析结果显示,LAP+AVI 曲线下面积为0.706(95%CI:0.595~0.817,P＜0.001);AVI+VAI 曲线下面积为0.685(95%CI:0.570~0.800,P＜0.01);BMI+WC 曲线下面积为0.652(95%CI:0.537~0.768,P＜0.05)。联合指标的ROC曲线下面积从大到小为LAP+AVI、AVI+VAI、BMI+WC。结论 LAP联合AVI对儿童肥胖伴非酒精性脂肪肝具有较好的筛查作用。     

海南百岁老人12项肥胖相关指标与全因死亡的关联研究

目的描述和分析BMI、腰围、腰臀比、腰高比、小腿围、腰围小腿围比值(WCR)、脂质蓄积指数(LAP)、内脏脂肪指数(VAI)、中国内脏脂肪指数(CVAI)、身体形态指数、中国身体形态指数(CABSI)和身体圆度指数与海南百岁老人全因死亡间的关联。方法整群抽样方法抽取的海南百岁老人共1 002人。随访时间的M(Q1, Q3)为4.16(1.31, 5.04)年, 结局为全因死亡, 使用Cox比例风险回归分析各肥胖相关身体测量指标与全因死亡的关联, 并使用受试者工作特征曲线曲线下面积(AUC)进行比较。结果总人群中小腿围对全因死亡的判定能力最强, AUC为0.61(95%CI:0.57～0.64), 分性别结果与总人群一致(P<0.05)。WCR次之(AUC为0.58), 再次是BMI、LAP和腰围, AUC分别为0.55、0.55和0.54, 而CABSI、腰臀比和VAI的判定能力较弱, AUC分别为0.51、0.50和0.50。结论本研究比较了12项肥胖相关指标与海南百岁老人全因死亡间的关联, 发现小腿围的预测判定能力最好, 且呈剂量反应关系, 提示可作为长寿老人死亡风险预测的参...     

内脏脂肪指数和脂质蓄积指数对非超重/肥胖者代谢相关脂肪性肝病的预测价值

目的探讨内脏脂肪指数(VAI)和脂质蓄积指数(LAP)对非超重/肥胖者代谢相关脂肪性肝病(MAFLD)的预测价值。方法本研究为横断面研究, 选取2021年1至12月哈尔滨医科大学附属第二医院体检中心的体检数据进行回顾性分析, 按纳入和排除标准, 最终4 304例18～75岁非超重/肥胖者作为研究对象。依据MAFLD诊断标准, 将研究对象分为MAFLD组和非MAFLD组, 比较两组血压、血脂、血糖等临床指标以及体重指数(BMI)、VAI、LAP肥胖测量指标之间的差异。将BMI、VAI、LAP按照各自的四分位数分为A、B、C、D 4组, 分别计算这些指标4组内非超重/肥胖者MAFLD检出率, 采用Spearman秩相关分析评估BMI、VAI、LAP与非超重/肥胖者MAFLD的相关性, 绘制受试者工作特征(ROC)曲线, 计算曲线下面积(AUC)评价各指标对非超重/肥胖者MAFLD的预测能力。结果本研究体检人群中, 非超重/肥胖者MAFLD的检出率为10.87%。在非超重/肥胖者中, MAFLD组的收缩压/舒张压、总胆固醇(TC)、低密度脂蛋白胆固醇(LDL-C)、甘油三酯(TG)、空腹血糖...     

不同肥胖评价指标对贵州省侗族和苗族成人高血压预测价值分析

目的 探讨贵州省侗族及苗族成人不同肥胖评价指标与高血压的相关性,并筛选预测高血压的最佳指标及切点值。方法 于2018年5月—2019年9月采用多阶段分层抽样方法选取贵州省30～79岁侗族及苗族人群作为研究对象。采用二分类logistic回归模型分析肥胖评价指标体质量指数（body mass index,BMI）、腰围（waist circumference,WC）、内脏脂肪指数（visceral adiposity index,VAI）、脂质蓄积指数（lipid accumulation product, LAP）、身体形态指数（a body shape index, ABSI）及身体肥胖指数（body adiposity index,BAI）与高血压之间的关系;通过受试者工作特征（receiver operating characteristic,ROC）曲线下面积（area under curve,AUC）评价不同肥胖评价指标对高血压的预测价值,并以最大约登指数确定其切点值。结果 贵州省30～79岁侗族和苗族人群,纳入符合标准的共10 076人,高血压检出率分别为22.51%和22...     

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。     

脂质蓄积指数和体重指数与糖尿病关系比较的前瞻性研究

目的 探讨基线脂质蓄积指数(LAP)与体重指数(BMI)不同水平与随访糖尿病(DM)发病的关系.方法 运用前瞻性研究方法 ,以江苏省多代谢异常和代谢综合征(MS)防治队列研究人群为研究对象,分析并比较基线LAP和BMI不同水平与DM的关系,计算LAP、BMI、腰围(WC)、腰臀比(WHR)对预测随访DM的ROC曲线下面积.结果与BMI相比,不论男女DM发病人数及累计患病率随LAP水平增高而增加的趋势更为明显;调整年龄、DM一般危险因素后,相对危险度(RR)分别随BMI水平和LAP水平增加而增高,但后者更具有统计学意义(P<0.05);4种肥胖指标中,预测随访DM的ROC曲线下面积从大到小依次为LAP、WHR、WC、BMI.结论 高LAP比高BMI更容易导致DM;相对于体重增加,DM的形成可能与体内脂质蓄积关系更为密切.     

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。     

新型肥胖指标与中国农村人群糖尿病前期的关系研究

目的 探讨身体形态指数(A Body Shape Index, ABSI)、中国内脏脂肪指数(Chinese Visceral Adiposity Index, CVAI)、脂质蓄积指数(Lipid Accumulation Product, LAP)、身体圆度指数(Body Roundness Index, BRI)和锥削指数(Conicity Index, CI)五个肥胖指标与糖尿病前期的关系,为糖尿病前期预防提供依据。方法 以宁夏自然人群队列基线数据中13 142名研究对象为基础,采用logistic回归分析探讨以上五个新型肥胖指标与糖尿病前期的关系,同时采用C统计量分析各肥胖指标对糖尿病前期的预测价值。结果 本研究共纳入13 142例研究对象,其中男性5 222例(占39.7%),女性7 920例(占60.3%); 1 481例糖尿病前期患者,患病率为11.3%。ABSI、CVAI、LAP、BRI和CI按四分位数分组,随着各指标四分位数的增加,空腹血糖水平和糖尿病前期患病率均呈上升趋势(P_趋势<0.05)。调整混杂因素后,经logistic回归分析显...     

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.     

江苏省成人脂质蓄积指数与高血压和糖尿病患病风险关系的研究

目的 探讨成人脂质蓄积指数（lipid accumulation product,LAP）与高血压、糖尿病患病风险的关系。方法 利用江苏省2013年成人慢性病及其危险因素监测数据进行分析,采用方差分析和多因素Logistic回归模型研究LAP与血压、血糖、高血压和糖尿病患病风险的关系,利用受试者工作特征（receiver operating characteristics,ROC）曲线评估LAP、体重指数（body mass index,BMI）和腰围（waist circumference,WC）对高血压、糖尿病罹患风险的预测作用。结果 不同LAP组间血压、血糖水平差异均有统计学意义（均有P<0.05）。男性和女性的高血压、糖尿病患病风险均随着LAP水平升高而增加（均有P<0.05）,与低LAP水平组相比,男性和女性高LAP水平组的高血压患病风险分别增加3.65倍（95%CI:3.74~5.78）和3.52倍（95%CI:3.70~5.53）,糖尿病患病风险分别增加2.71倍（95%CI:2.83~4.87）和3.37倍（95%CI:3.32~5.77）。在女性中,ROC曲线分析显示,LAP预测高血压和糖尿病风险的曲线下面积（area under curve,AUC）值为0.70和0.69,均高于BMI和WC（均有P<0.05）。结论 LAP与血压、血糖密切相关,高血压、糖尿病患病风险随着LAP的增加而升高。     

Optimal Obesity- and Lipid-Related Indices for Predicting Metabolic Syndrome in Chronic Kidney Disease Patients with and without Type 2 Diabetes Mellitus in China

Existing obesity- and lipid-related indices are inconsistent with metabolic syndrome (MetS) in chronic kidney disease (CKD) patients. We compared seven indicators, including waist circumference (WC), body mass index (BMI), visceral fat area (VFA), subcutaneous fat area (SFA), visceral adiposity index (VAI), Chinese VAI and lipid accumulation product (LAP), to evaluate their ability to predict MetS in CKD patients with and without Type 2 diabetes mellitus (T2DM) under various criteria. Multivariate logistic regression analysis was used to investigate the independent associations between the indices and metabolic syndrome among 547 non-dialysis CKD patients, aged ≥18 years. The predictive power of these indices was assessed using receiver operating characteristic (ROC) curve analysis. After adjusting for potential confounders, the correlation between VAI and MetS was strongest based on the optimal cut-off value of 1.51 (sensitivity 86.84%, specificity 91.18%) and 2.35 (sensitivity 83.54%, specificity 86.08%), with OR values of 40.585 (8.683–189.695) and 5.076 (1.247–20.657) for males and females with CKD and T2DM. In CKD patients without T2DM, based on the optimal cut-off values of 1.806 (sensitivity 98.11%, specificity 72.73%) and 3.11 (sensitivity 84.62%, specificity 83.82%), the OR values were 7.514 (3.757–15.027) and 3.008 (1.789–5.056) for males and females, respectively. The area under ROC curve (AUC) and Youden index of VAI were the highest among the seven indexes, indicating its superiority in predicting MetS in both male and female CKD patients, especially those with T2DM.     

Diabetes prediction,lipid accumulation product,and adiposity measures; 6-year follow-up: Tehran lipid and glucose study

Background

The body mass index (BMI) is the most commonly used marker for evaluating obesity related risks, however, central obesity measures have been proposed to be more informative. Lipid accumulation product (LAP) is an alternative continuous index of lipid accumulation, which is computed from waist circumference (WC, cm) and triglycerides (TGs, mmol/l): (WC-65) ×TG (men) and (WC-58) ×TG (women). We sought in this study to assess if LAP can outperform BMI, waist-to-height-ratio (WHtR), or waist-to-hip-ratio (WHpR) in identifying prevalent and predicting incident diabetes.

Results

The cross-sectional analyses were performed on a sample included 3,682 men and 4,989 women who were not pregnant, aged ≥ 20 years. According to the age (≥ 50 and <50 years) - and sex-specific analyses, odds ratios (ORs) of LAP for prevalent diabetes were higher than those of BMI, WHpR, or WHtR among women, after adjustment for mean arterial pressure and family history of diabetes. The OR of LAP in old men was lower than those of other adiposity measures; in young men, however, LAP was superior to BMI but identical to WHpR and WHtR in identifying prevalent diabetes. Except in young men, LAP showed highest area under the receiver operating characteristic curves (AROC) for prevalent diabetes (P for trend ≤ 0.005).For longitudinal analyses, a total of 5,018 non-diabetic subjects were followed for ~6 years. The ORs of BMI, WHpR, and WHtR were the same as those of LAP in both sexes and across age groups; except in young men where LAP was superior to the BMI. AROCs of LAP were relatively the same as anthropometric adiposity measures.

Conclusions

LAP was a strong predictor of diabetes and in young individuals had better predictability than did BMI; it was, however, similar to WHpR and WHtR in prediction of incident diabetes.

     

Indirect Predictors of Visceral Adipose Tissue in Women with Polycystic Ovary Syndrome: A Comparison of Methods

Visceral adipose tissue (VAT) accumulation, is a part of a polycystic ovary syndrome (PCOS) phenotype. Dual-energy x-ray absorptiometry (DXA) provides a gold standard measurement of VAT. This study aimed to compare ten different indirect methods of VAT estimation in PCOS women. The study included 154 PCOS and 68 age- and BMI-matched control women. Subjects were divided into age groups: 18–30 y.o. and 30–40 y.o. Analysis included: body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), waist/height 0.5 (WHT.5R), visceral adipose index (VAI), lipid accumulation product (LAP), and fat mass index (FMI). VAT accumulation, android-to-gynoid ratio (A/G), and total body fat (TBF) was measured by DXA. ROC analysis revealed that WHtR, WHT.5R, WC, BMI, and LAP demonstrated the highest predictive value in identifying VAT in the PCOS group. Lower cut-off values of BMI (23.43 kg/m²) and WHtR (0.45) were determined in the younger PCOS group and higher thresholds of WHtR (0.52) in the older PCOS group than commonly used. Measuring either: WHtR, WHT.5R, WC, BMI, or LAP, could help identify a subgroup of PCOS patients at high cardiometabolic risk. The current observations reinforce the importance of using special cut-offs to identify VAT, dependent on age and PCOS presence.     

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。     

Visceral Adiposity in Relation to Body Adiposity and Nutritional Status in Elderly Patients with Stable Coronary Artery Disease

Introduction: The accumulation of visceral abdominal tissue (VAT) seems to be a hallmark feature of abdominal obesity and substantially contributes to metabolic abnormalities. There are numerous factors that make the body-mass index (BMI) a suboptimal measure of adiposity. The visceral adiposity index (VAI) may be considered a simple surrogate marker of visceral adipose tissue dysfunction. However, the evidence comparing general to visceral adiposity in CAD is scarce. Therefore, we have set out to investigate visceral adiposity in relation to general adiposity in patients with stable CAD. Material and methods: A total of 204 patients with stable CAD hospitalized in the Department of Medicine and the Department of Geriatrics entered the study. Based on the VAI-defined adipose tissue dysfunction (ATD) types, the study population (N = 204) was divided into four groups: (1) no ATD (N = 66), (2) mild ATD (N = 50), (3) moderate ATD (N = 48), and (4) severe ATD (N = 40). Nutritional status was assessed using the Controlling Nutritional Status (CONUT) score. Results: Patients with moderate and severe ATD were the youngest (median 67 years), yet their metabolic age was the oldest (median 80 and 84 years, respectively). CONUT scores were similar across all four study groups. The VAI had only a modest positive correlation with BMI (r = 0.59 p < 0.01) and body adiposity index (BAI) (r = 0.40 p < 0.01). There was no correlation between VAI and CONUT scores. There was high variability in the distribution of BMI-defined weight categories across all four types of ATD. A total of 75% of patients with normal nutritional status had some form of ATD, and one-third of patients with moderate or severe malnutrition did not have any ATD (p = 0.008). In contrast, 55–60% of patients with mild, moderate, or severe ATD had normal nutritional status (p = 0.008). ROC analysis demonstrated that BMI and BAI have poor predictive value in determining no ATD. Both BMI (AUC 0.78 p < 0.0001) and BAI (AUC 0.66 p = 0.003) had strong predictive value for determining severe ATD (the difference between AUC 0.12 being p = 0.0002). However, BMI predicted mild ATD and severe ATD better than BAI. Conclusions: ATD and malnutrition were common in patients with CAD. Notably, this study has shown a high rate of misclassification of visceral ATD via BMI and BAI. In addition, we demonstrated that the majority of patients with normal nutritional status had some form of ATD and as much as one-third of patients with moderate or severe malnutrition did not have any ATD. These findings have important clinical ramifications for everyday practice regarding the line between health and disease in the context of malnutrition in terms of body composition and visceral ATD, which are significant for developing an accurate definition of the standards for the intensity of clinical interventions.     

Neck circumference is a better correlate of insulin resistance markers than other standard anthropometric indices in patients presenting severe obesity

BackgroundPrevious studies have demonstrated stronger associations between metabolic alterations and neck circumference (NC) than with body mass index (BMI) or waist circumference (WC). However, most of these studies were performed in individuals presenting overweight or mild obesity.ObjectiveTo determine which adiposity index among BMI, WC, NC and fat mass (FM) can best predict metabolic alterations in men and women presenting severe obesity.MethodsAnthropometric and plasma biochemical parameters were measured in 81 participants presenting severe obesity (19 men, 62 women; age: 44.5 ± 8.9 years; BMI: 43.5 ± 4.1 kg/m²). Multiple linear regressions were used to determine the best predictors of metabolic alterations among each adiposity index.ResultsNC was positively correlated with fasting insulin concentrations, C-peptide concentrations and HOMA-IR values and negatively correlated with HDL-C concentrations. NC was the best predictor of glucose homeostasis indices and HDL-C concentrations in models also including sex, BMI, WC, and FM. The ROC curve analysis indicated that a NC ≥ 37.8 cm best predicted type 2 diabetes.ConclusionsNC seems a better predictor of insulin resistance and lower HDL-C concentrations in patients presenting severe obesity compared to other standard anthropometric indices, and particularly in women. The small sample size in men prevent us to draw clear conclusions. NC could be useful in targeting patients with metabolic alterations who could benefit from medical or surgical treatment of obesity.     

Obesity and lipid-related parameters for predicting metabolic syndrome in Chinese elderly population

Background

The present study evaluated the predictive ability of five known “best” obesity and lipid-related parameters, including body mass index (BMI), waist-to-height ratio (WHtR), triglyceride-to-high-density-lipoprotein-cholesterol (TG/HDL-C), lipid accumulation product (LAP) and visceral adiposity index (VAI), in identifying metabolic syndrome (MetS) in Chinese elderly population.

Methods

A total of 6722 elderly Chinese subjects (≥60?years) were recruited into our community-based cross-sectional study from April 2015 to July 2017. The anthropometrics, blood pressure, fasting plasma glucose, blood lipid profiles, family history and health-related behaviours were assessed.

Results

The prevalence of MetS was 40.4% (32.5% in males and 47.2% in females). With the increase in the number of MetS components (from 0 to 5), all the five parameters showed an increase trend in both genders (all P for trend <?0.001). According to receiver operating characteristic curve (ROC) analyses, all the five parameters performed high predictive value in identifying MetS. The statistical significance of the areas under the curves (AUCs) differences suggested that the AUCs of LAP were the greatest among others in both genders (AUCs were 0.897 in males and 0.875 in females). The optimal cut-off values of LAP were 26.35 in males and 31.04 in females. After adjustment for potentially confounding factors, LAP was strongly associated with the odds of having MetS in both genders, and ORs for MetS increased across quartiles using multivariate logistic regression analysis (P?<?0.001).

Conclusion

LAP appeared to be a superior parameter for predicting MetS in both Chinese elderly males and females, better than VAI, TG/HDL-C, WHtR and BMI.