Predictive ability of traditional and novel anthropometric measurement indices for cardio-metabolic diseases in Chinese adults: China Health and Nutrition Survey (CHNS) cohort study

Background and aimsCardio-metabolic diseases has been shown to be strongly associated with obesity. The aim of this study was to compare the predictive value of traditional and novel anthropometric measurement indices for cardio-metabolic diseases risk and evaluate whether new indicators can provide important information in addition to traditional indicators.Methods and resultsChina Health and Nutrition Survey (CHNS) data were obtained for this study. Baseline information for healthy participants was gathered from 1997 to 2004. The incidence of cardio-metabolic diseases was collected from 2009 to 2015 for cohort analysis. The predictive ability of each index for the risk of cardio-metabolic diseases was evaluated with time-dependent ROC analysis. Body mass index (BMI) showed the greatest predictive ability for cardio-metabolic disease incidence among all traditional and novel indices (Harrell's C statistic (95% CI): 0.7386 (0.7266–0.7507) for hypertension, 0.7496 (0.7285–0.7706) for diabetes, 0.7895 (0.7593–0.8196) for stroke and 0.7581 (0.7193–0.7969) for myocardial infarction). The addition of novel indices separately into the BMI model did not improve the predictive ability. Novel anthropometric measurement indices such as a body shape index (ABSI), abdominal volume index (AVI) and triponderal mass index (TMI), had a certain prediction ability for adults with BMI <24 kg/m² compared to those with BMI ≥24 kg/m².ConclusionNo strong evidence supports novel anthropometric measurement indices were better than BMI in the prediction of cardio-metabolic diseases incidence among Chinese adults. Novel anthropometric measurement indices, mainly for abdominal obesity, may have a high predictive effect for adults with BMI <24 kg/m².     

Higher vegetable consumption is related to a lower risk of cardiometabolic risk cluster among children and adolescents: A national cross-sectional study in China

Background and aimsEvidence about the association between vegetable consumption and cardiometabolic risk factors (CMRFs) cluster among children and adolescents was inconsistent. We aimed to investigate the prevalence of CMRFs and CMRFs cluster, and to evaluate their associations with vegetable consumption.Methods and resultsA total of 14,061 participants aged 6–19 years were recruited from 7 provinces of China. A standard physical examination, including height, weight and blood pressure, was conducted. Information regarding CMRFs was obtained through anthropometric measurements and blood sample testing, while weekly frequency and daily servings of vegetable consumption data collected by questionnaires. Logistic regression models were used to analyze the odds ratios (OR) for associations between CMRFs, CMRFs cluster and vegetable consumption. The prevalence of no CMRFs cluster among children and adolescents was 26.4%. Participants whose daily vegetable consumption was 0.75–1.5 and ≥1.5 servings showed a lower risk of high blood pressure (HBP), high total cholesterol (TC), high triglyceride (TG), and high low-density lipoprotein cholesterol (LDL-C) compared to those with daily vegetable consumption of <0.75 servings. Besides, higher average daily vegetable consumption was strongly associated with lower risks of CMRFs cluster. Stratified analyses showed that the protective effects of more vegetable intake on CMRFs cluster were profounder in boys and young adolescents.ConclusionMore vegetable intake was associated with lower risks of CMRFs cluster in Chinese children and adolescents aged 6–19 years, which further highlighted the significance of vegetable consumption to improve the cardiometabolic risk status.     

Sex and race/ethnicity specific reference predictive equations for abdominal adiposity indices using anthropometry in US adults

Background and aimsAbdominal adiposity indices have stronger associations with cardiometabolic risk factors compared to anthropometric measures but are rarely used in large scale studies due to the cost and efficiency. The aim of this study is to establish sex and race/ethnicity specific reference equations using anthropometric measures.Methods and resultsA secondary data analysis (n = 6589) of healthy adults was conducted using data from National Health and Nutrition Examination Survey 2011–2018. Variables included in the analyses were anthropometric measures (height; weight; waist circumference, WC) and abdominal adiposity indices (android percent fat; android to gynoid ratio, A/G ratio; visceral adipose tissue area, VATA; visceral to subcutaneous adipose area ratio, VSR). Multivariable prediction models were developed using quantile regression. Bland–Altman was used for external validation of prediction models. Reference equations to estimate android percent fat, A/G ratio, VATA and VSR from anthropometric measurements were developed using a randomly selected subsample of 4613. These reference equations for four abdominal adiposity indices were then cross-validated in the remaining subsample of 1976. The measured and predicted android percent fat, A/G ratio, VATA and VSR were not statistically different (p > 0.05) except for the A/G ratio in Asian males and VSR in White females. The results of Bland–Altman further revealed that ≥93% of predicted abdominal adiposity indices fell within the limits of agreement (±1.96 standard deviation).ConclusionThe sex and race/ethnicity specific reference equations for abdominal adiposity indices established using anthropometrics in the present study have strong predictive ability in US healthy adults.     

Adiposity,hepatic steatosis,and metabolic health transitions in people with obesity: Influences of age and sex

Background and aimsMetabolically healthy (MHO) and unhealthy obesity (MUO) may be transient conditions. This study aimed to quantify and identify predictive factors of metabolic transitions in obesity, exploring influences of age and sex.Methods and resultsWe retrospectively evaluated adults with obesity who underwent routine health evaluation. In a cross-sectional analysis of 12,118 individuals (80% male, age 44.3 ± 9.9 years), 16.8% had MHO. In a longitudinal evaluation of 4483 participants, 45.2% of individuals with MHO at baseline had dysmetabolism after a median follow-up of 3.0 (IQR 1.8–5.2) years, whereas 13.3% MUO participants became metabolically healthy (MH). Development of hepatic steatosis (HS, ultrasound) was an independent predictor of MHO conversion to dysmetabolism (OR 2.36; 95% CI 1.43, 3.91; p < 0.001), while HS persistence was inversely associated with transition from MUO to MH status (OR 0.63; 95% CI 0.47, 0.83; p = 0.001). Female sex and older age were associated with a lower chance of MUO regression. A 5% increment in body mass index (BMI) over time increased the likelihood of metabolic deterioration by 33% (p = 0.002) in females and 16% (p = 0.018) in males with MHO. A 5% reduction in BMI was associated with a 39% and 66% higher chance of MUO resolution in females and males, respectively (both p < 0.001).ConclusionThe findings support a pathophysiological role of ectopic fat depots in metabolic transitions in obesity and identify female sex as an aggravating factor for adiposity-induced dysmetabolism, which has implications for personalized medicine.     

Differential Prognostic Utility of Adiposity Measures in Chronic Kidney Disease

ObjectiveAdipose tissue contributes to adverse outcomes in chronic kidney disease (CKD), but there is uncertainty regarding the prognostic relevance of different adiposity measures. We analyzed the associations of neck circumference (NC), waist circumference (WC), and body mass index (BMI) with clinical outcomes in patients with mild to severe CKD.MethodsThe German Chronic Kidney Disease study is a prospective cohort study, which enrolled Caucasian adults with mild to severe CKD, defined as estimated glomerular filtration rate : 30-60 mL/min/1.73 m², or >60 mL/min/1.73 m² in the presence of overt proteinuria. Associations of NC, WC, and BMI with all-cause death, major adverse cardiovascular events (MACE: a composite of nonfatal stroke, nonfatal myocardial infarction, peripheral artery disease intervention, and cardiovascular death), and kidney failure (a composite of dialysis or transplantation) were analyzed using multivariable Cox proportional hazards regression models adjusted for confounders and the Akaike information criteria were calculated. Models included sex interactions with adiposity measures.ResultsA total of 4537 participants (59% male) were included in the analysis. During a 6.5-year follow-up, 339 participants died, 510 experienced MACE, and 341 developed kidney failure. In fully adjusted models, NC was associated with all-cause death in women (hazard ratio 1.080 per cm; 95% CI 1.009-1.155) but not in men. Irrespective of sex, WC was associated with all-cause death (hazard ratio 1.014 per cm; 95% CI 1.005-1.038). NC and WC showed no association with MACE or kidney failure. BMI was not associated with any of the analyzed outcomes. Models of all-cause death, including WC offered the best (lowest) Akaike information criteria.ConclusionIn Caucasian patients with mild to severe CKD, higher NC (in women) and WC were significantly associated with increased risk of death from any cause but BMI was not.     

人体测量学指标用于社区老年人轻度认知障碍筛查研究

目的 评估人体测量学指标对老年人轻度认知障碍的筛查能力，确定最佳筛查指标。 方法 采用多阶段分层抽样的方法，对广西3个市6个社区/乡镇的60岁以上常住老年人502名进行蒙特利尔认知评估量表-北京版（MoCA-B）测评和人体指标测量，以认知评估结果为金标准，将老年人分为认知正常组和轻度认知障碍组，比较两组人体测量学指标的差异，绘制受试者工作特征曲线，评价人体测量学指标对轻度认知障碍的筛查能力。 结果 认知正常组244名，轻度认知障碍组258名。两组身高、腰围、小腿围、BMI、腰高比、腰小腿围比、身体圆度指数、腹部体积指数和体脂肪指数比较，差异有统计学意义（均P＜0.05）；腰小腿围比对总样本轻度认知障碍具有较高的筛查能力（AUC=0.681）；联合指标腰小腿围比+腰高比在60～＜65岁老年人中筛查能力最高（AUC=0.708）；腰小腿围比+体脂肪指数在65～＜75岁老年人中筛查能力最高（AUC=0.735）。 结论 腰小腿围比、体脂肪指数和腰高比对老年人轻度认知障碍具有一定筛查价值。腰小腿围比+腰高比是60～＜65岁老年人的最佳联合筛查指标；腰小腿围比+体脂肪指数是65～＜75岁老年人的最佳联合筛查指标。     

Sustained improvements in the cardiometabolic profile of patients with obstructive sleep apnea after a weight-loss Mediterranean diet/lifestyle intervention: 12-month follow-up (6 months post-intervention) of the “MIMOSA” randomized clinical trial

Background and aimsObstructive sleep apnea (OSA) and the metabolic syndrome (MS) frequently coexist and lead to increased cardiometabolic morbidity. We aimed to explore the long-term cardiometabolic benefits of a weight-loss Mediterranean diet/lifestyle intervention in OSA.Methods and resultsAs many as 180 adults with overweight/obesity and polysomnography-diagnosed moderate-to-severe OSA were randomized to a standard care (SCG, n = 62), a Mediterranean diet (MDG, n = 59) or a Mediterranean lifestyle group (MLG, n = 59). All groups were prescribed with continuous positive airway pressure (CPAP), while intervention arms (MDG/MLG) additionally participated in a 6-month weight-loss intervention based on the Mediterranean diet/lifestyle. Cardiometabolic parameters were evaluated at baseline and 12 months (6 months post-intervention). Data were analyzed using the intention-to-treat method, and 12-month between-group differences were explored while adjusting for age, sex, baseline status and CPAP use. Compared to the SCG, intervention arms exhibited lower insulin, triglycerides and high-sensitivity C-reactive protein, and higher high-density lipoprotein cholesterol; the MDG also exhibited lower diastolic blood pressure, while the MLG exhibited lower glucose and systolic blood pressure (all P < 0.050). The relative risk (95% confidence interval) of MS was 0.60 (0.36, 0.99) in the MDG versus the SCG, 0.33 (0.20, 0.55) in the MLG versus the SCG and 0.55 (0.32, 0.93) in the MLG versus the MDG. The risk of MS remained lower in the MLG versus the other study groups (both P < 0.050) after additional adjustment for body weight change.ConclusionCardiometabolic benefits of a 6-month healthy dietary/lifestyle intervention are sustainable 6 months post-intervention in OSA.Trial registrationClinicalTrials.gov, NCT02515357, August 4, 2015.     

Hypertriglyceridemic waist phenotype is associated with left ventricular hypertrophy in Chinese hypertension patients

Left ventricular hypertrophy (LVH), the most common target organ damage in patients with hypertension, is closely related to excessive visceral adipose tissue (VAT) accumulation in the body. The hypertriglyceridemic waist (HTHW) phenotype can act as a surrogate marker of excessive VAT. However, the relationship between the HTHW phenotype and LVH in patients with hypertension remains unknown. The present study aimed to investigate whether the HTHW phenotype is associated with LVH, using echocardiography in a cross-sectional study involving 4470 middle-aged and older Chinese patients with hypertension. Logistic regression analysis revealed that patients with the HTHW phenotype were 1.52-fold more likely to experience LVH than those with normal triglyceride levels and normal waist circumference. This association was independent of age, sex, and other potentially confounding factors. In the stratified analysis, a stronger correlation was found among women, people of at least 70 years of age, and people with hyperuricemia. These results suggest that distinguishing the HTHW phenotype in patients with hypertension could serve as a simple and effective screening strategy for identifying people with a higher risk of developing LVH.