Quality of Beverage Intake and Cardiometabolic and Kidney Outcomes: Insights From the STANISLAS Cohort

Background and Aims: Beverages are an important aspect of diet, and their quality can possibly affect health. The Healthy Beverage Index (HBI) has been developed to take into account these effects. This study aimed to highlight the relationships between health and beverage quality by assessing the association of the HBI and its components with kidney and cardiometabolic (CM) outcomes in an initially healthy population-based familial cohort.Methods: This study included 1,271 participants from the STANISLAS cohort. The HBI, which includes 10 components of habitual beverage consumption, was calculated. Associations of the HBI and its components with estimated glomerular filtration rate (eGFR), albuminuria, hypertriglyceridemic waist (HTG waist), metabolic syndrome (MetS), carotid-femoral pulse wave velocity (cfPWV), carotid intima-media thickness (cIMT), and left ventricular mass (LV mass) were analyzed using multivariable linear or logistic regression models.Results: The median HBI score was 89.7 (78.6–95) out of 100 points. While the overall HBI score was not significantly associated with any of the studied outcomes, individual HBI components were found differently associated with the outcomes. cfPWV and cIMT were lower in participants who did not meet the full-fat milk criteria (p = 0.03 and 0.001, respectively). In men, higher cfPWV was observed for the “low Fat milk” (p = 0.06) and “alcohol” (p = 0.03) non-adherence criteria. Odds of HTG waist were higher with the non-adherence to sugar-sweetened beverages criteria (p < 0.001). eGFR was marginally higher with non-adherence to the coffee/tea criteria (p = 0.047).Conclusions: In this initially healthy population, HBI components were differently associated with kidney and cardiometabolic outcomes, despite a good overall HBI score. Our results highlight specific impacts of different beverage types and suggest that beverages could have an impact on kidney and cardiometabolic health.

Hypertriglyceridemic-Waist Phenotype is Strongly Associated With Cardiovascular Risk Factor Clustering In Chinese adolescents

There is limited research on the relationship between the Hypertriglyceridemic-waist (HTW) phenotype and cardiovascular risk factors (CVRFs) in adolescents, and its association with cardiovascular risk factor clustering (CVRFC) is unclear. The aim of this study was to examine the association between HTW phenotype and CVRFs and CVRFC in adolescents. A total of 1478 adolescents aged 12-18 years were classified into normal triglyceride normal waist (NTNW, 66.4%), hypertriglyceridemia (HTG, 5.5%), enlarged waist (EW, 22.2%) and hypertriglyceridemia-waist (HTW, 5.8%) according to whether triglycerides (TG)≥1.47 mmol/L and waist circumference (WC) ≥90th percentile by gender and age. CVRFs in this study included elevated blood pressure(BP), impaired fasting glucose(IFG), high total cholesterol(TC), low high-density lipoprotein cholesterol (HDL-C), and high low-density lipoprotein cholesterol(LDL-C). After adjusting for gender and age, the HTW phenotype had a higher risk of Elevated BP, High TC, Low HDL-C and High LDL-C compared to the NTNW phenotype(the OR and 95% CI were 6.00 (3.79-9.52), 4.58 (2.68-7.83), 4.21 (2.44-7.26) and 6.15 (3.39-11.14), respectively). And the HTW phenotype increased the risk of CVRFC ≥ 2 and CVRFC ≥ 3 compared to the NTNW phenotype, the OR and 95% CI were 6.64 (4.08-10.80) and 11.74 (5.95-23.13), respectively. And similar results were obtained for both sexes when stratified by gender. The area under the ROC curve (AUC) for TG combining WC in the prediction of the CVRFC ≥ 2 and CVRFC ≥ 3 were 0.690 (0.651-0.728) and 0.697 (0.659-0.734) in boys, and the AUC were 0.684 (0.647-0.722) and 0.695 (0.657-0.732) for girls(all P<0.01), which were higher than TG or WC alone. These results revealed that the HTW phenotype is closely associated with cardiovascular risk factors clustering, and TG combining WC performed better than TG or WC alone in detecting cardiovascular risk factor clustering in both genders.

PHYSICAL INACTIVITY AND HIGH SEDENTARY BEHAVIOR ARE ASSOCIATED WITH HYPERTRIGLYCERIDEMIC WAIST IN ELDERLY

During aging, an increase in sedentary behaviour and a decrease in physical activity levels are observed. These factors may increase abdominal adiposity and triglyceride levels, which characterizes the hypertriglyceridemic waist (HW) phenotype, providing a high risk for cardiometabolic diseases. This study aimed to analyze the association between hypertriglyceridemic waist, physical activity level and sedentary behaviour in community-dwelling elderly. A population-based cross-sectional study was carried out, involving 316 elderlies (≥ 60 years) of both genders. The hypertriglyceridemic waist was diagnosed using high triglycerides (≥ 150 mg/dl) and increased waist circumference ≥ 88 and ≥ 102 cm values for women and men, respectively. The physical activity level and sedentary behaviour were evaluated using the IPAQ. The study included 173 women (54.7%) and 143 men (45.3%), with a mean age of 74.2 ± 9.8 years. The prevalence of HW was 27.1%, 47.7% insufficiently active and 24.1% high sedentary behaviour. The insufficiently active elderly (OR= 2.48; 95% CI: 1.31 - 4.71; p= 0.005) and with high sedentary behaviour (OR= 2.21; 95% CI: 1.04 - 4.32; p= 0.038) were associated positively with HW, indicating that elderly with insufficient physical activity levels and high sedentary behaviour showed themselves to approximately 2.5 and 2.2 times more likely to develop HW, respectively. Low physical activity level and high sedentary behaviour are associated with hypertriglyceridemic waist in community-dwelling elderly.

The hypertriglyceridemic-waist phenotype as a valuable and integrative mirror of metabolic syndrome traits

Rates of non-communicable diseases (NCDs), such as obesity, diabetes, cardiovascular events and cancer, continue to rise worldwide, which require objective instruments for preventive and management actions. Diverse anthropometric and biochemical markers have been used to qualitatively evaluate degrees of disease, metabolic traits and evolution of nutritional status. The aim of this study was to integrate and assess the interactions between an anthropometric measurement, such as waist circumference (WC), and biochemical data, such as the triglyceride glucose index (TyG), in order to individually characterize metabolic syndrome (MetS) features considering the hypertriglyceridemic waist phenotype as a marker. An ancillary cross-sectional study was conducted using anthropometric measurements, such as weight, height, waist and hip circumferences, as well as fasting biochemical data of 314 participants. Different indices based on WC (WC, WC*TG and WC*TyG) were estimated to compute MetS components and accompanying comorbidities. ROC curves were fitted to define the strength of the analyses and the validity of the relationships. Associations were confirmed between anthropometric, biochemical and combined indices with some chronic disease manifestations, including hyperglycemia, hypertension and dyslipidemia. Both WC*TG and WC*TyG indices showed similar performance in diagnosing MetS (area under the ROC curve = 0.81). Interestingly, when participants were categorized according to a reference value of the WC*TyG index (842.7 cm*mg/dl), our results evidenced that subjects classified over this limit presented statistically higher prevalence of MetS and accompanying individual components with clinical relevance for interventions. These results revealed that WC*TyG mirrors the hypertriglyceridemic phenotype, which suggests may serve as a good indicator to define the metabolic syndrome phenotype and a suitable, sensitive, and simple proxy to complement others. A reference point was proposed with a good clinical performance and maximized sensitivity and specificity values.

Dietary inflammatory index (DII) may be associated with hypertriglyceridemia waist circumference phenotype in overweight and obese Iranian women: a cross sectional study

Objective Recent studies have shown that increased dietary inflammatory index (DII) score or consumption of pro-inflammatory foods can lead to increased waist circumference (WC) as well as triglyceride (TG) concentrations in obese people. The purpose of this study is to examine the association between DII and hypertriglyceridemic waist circumference phenotype (HTGWCP) in women with overweight and obesity. Results There was a positive significant correlation between DII and HTGWCPs. In other words, with an increase in DII score or higher consumption of pro-inflammatory foods, the odds of having abnormal phenotypes including; enlarged waist normal TG (EWNT) (OR = 2.85, 95% CI 1.02 to 7.98, P for trend = 0.04), normal waist enlarged TG (NWET) (OR = 5.85, 95% CI 1.1 to 31.11, P for trend = 0.03) and enlarged waist enlarged TG (EWET) (OR = 3.13, 95% CI 0.95 to 10.27, P for trend = 0.05) increase compared to normal waist normal TG (NWNT) phenotype. In conclusion; increasing DII scores can increase abnormal phenotypes and therefore may increase WC and TG levels in overweight and obese women.

The Comparison of Predictive Value Among Chemerin, IL-18 and Hormonal Parameters in Assessing the Risk of Metabolic Syndrome in Men

Chemerin (CHEM) is a new proinflammatory adipokine involved in the immune, metabolic and reproductive processes. Low–grade state inflammation (LGSI) is a key element in the pathogenesis of metabolic syndrome (MS). Low SHBG is a good marker of male hypogonadism in MS. This study evaluated the prognostic value of selected adipokine, LGSI, and androgenic parameters in predicting the risk of MS among men. One hundred thirty-two random men aged 40 to 70 years old were enrolled. Measurements of anthropometric indices, blood pressure, and laboratory tests were carried out. A total of 62 men (47%) were diagnosed with MS. Chemerin concentrations were higher in men diagnosed with MS compared to healthy: 89.48 (78.12–112.10) vs. 77.9 (65.12–98.64) ng/mL; p = .002. Men diagnosed with MS presented with lower levels of total testosterone: 5.75 (4.00–6.57) vs. 6.40 (5.50–8.40) ng/mL; p = .0014 and SHBG: 46.58 (35.13–66.28) vs. 71.97 (56.1–92.7) nM/L; p < 0.000001. Elevated LGSI indices were demonstrated in men with MS as opposed to healthy [IL–18: 530.64 (409.12–640.56) vs. 418.85 (348.14–496.44) pg/mL; p = .000033 and hs–CRP: 2.15 (0.97–4.26) vs. 1.01 (0.41–2.68) ng/mL; p = .0057)]. In multivariate regression analysis, the highest negative predictive value in assessing the risk of MS was SHBG serum concentration, while the highest positive predictive values were: IL-18, hypertriglyceridemia, and waist circumference. Decreased SHBG levels, combined with elevated IL-18 concentrations in men showing hypertriglyceridemic waist phenotype, significantly increase the risk of MS.