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.     

Fruit consumption and cardiometabolic risk in the PREDIMED-plus study: A cross-sectional analysis

Background and aimsTotal fruit consumption is important for cardiovascular disease prevention, but also the variety and form in which is consumed. The aim of the study was to assess the associations between total fruit, subgroups of fruits based on their color and fruit juices consumption with different cardiometabolic parameters.Methods and resultsA total of 6633 elderly participants (aged 55–75 years) with metabolic syndrome from the PREDIMED-Plus study were included in this analysis. Fruit and fruit juice consumption was assessed using a food frequency questionnaire. Linear regression models were fitted to evaluate the association between exposure variables (total fruit, subgroups based on the color, and fruit juices) and different cardiometabolic risk factors. Individuals in the highest category of total fruit consumption (≥3 servings/d) had lower waist circumference (WC) (β = ?1.04 cm; 95%CI:-1.81, ?0.26), fasting glucose levels (β = ?2.41 mg/dL; 95%CI(-4.19, ?0.63) and LDL-cholesterol (β = ?4.11 mg/dL; 95%CI:-6.93, ?1.36), but, unexpectedly, higher systolic blood pressure (BP) (β = 1.84 mmHg; 95%CI: 0.37, 3.30) and diastolic BP (β = 1.69 mmHg; 95%CI:0.83, 2.56) when compared to those in the lowest category of consumption (<1 servings/d). Participants consuming ≥1 serving/day of total fruit juice had lower WC (β = ?0.92 cm; 95%CI:-1.56, ?0.27) and glucose levels (β = ?1.59 mg/dL; 95%CI:-2.95, ?0.23) than those consuming <1 serving/month. The associations with cardiometabolic risk factors differed according to the color of fruits.ConclusionFruit consumption is associated with several cardiometabolic risk factors in Mediterranean elders with metabolic syndrome. The associations regarding BP levels could be attributed, at least partially, to reverse causality bias inherent to the cross-sectional design of the study.     

Adolescent cardiometabolic risk scores: A scoping review

AimsClustering of cardiometabolic risk factors (CMRFs) indicates cardiometabolic risk (CMR), a key driver of cardiovascular disease. Early detection and treatment of CMR are important to decrease this risk. To facilitate the identification of individuals at risk, CMRFs are commonly combined into a CMR Score. This scoping review aims to identify CMRFs and methods used to calculate adolescent CMR Scores.Data synthesisSystematic searches were executed in Child Development and Adolescent Studies, Ovid MEDLINE, Ovid EMBASE, Ovid PsycINFO, EBSCO CINAHL, Scopus Elsevier, Cochrane CENTRAL, and Nursing and Allied Health. No limits were placed on publication date or geographic location. Studies were included if participants were 10–19 years and the study reported CMRFs in a composite score. Key extracted information included participant characteristics, CMRFs comprising the scores, and methods of score calculation. CMRFs were categorized and data were reported as frequencies. This study identified 170 studies representing 189 CMR Scores. The most common CMRF categories were related to lipids, blood pressure, and adiposity. The most frequent CMRFs were triglyceride z-score, systolic blood pressure z-score, and inverse high-density lipoproteins z-score. Scores were mostly calculated by summing CMRF z-scores without weighting.ConclusionsThe range of CMRFs and Scores identified in adolescent CMR literature limits their use and interpretation. Published CMR Scores commonly contain two main limitations: (a) use of an internal cohort as the z-score reference population, and (b) Scores relying on adiposity measures. We highlight the need for a standard set of CMRFs and a consensus for a CMR Score for adolescents.     

Associations between food portion sizes,insulin resistance,VO2 max and metabolic syndrome in European adolescents: The HELENA study

Background and aimsThis study aims to examine the associations of food portion size (PS) with markers of insulin resistance (IR) and clustered of metabolic risk score in European adolescents.MethodsA total of 495 adolescents (53.5% females) from the Healthy Lifestyle in Europe by Nutrition in Adolescence (HELENA) study were included. The association between PS from food groups and homeostasis model assessment of insulin resistance (HOMA-IR) index, VO2 max, and metabolic risk score was assessed by multilinear regression analysis adjusting for several confounders. Analysis of covariance (ANCOVA) was used to determine the mean differences of food PS from food groups by HOMA-IR cutoff categories by using maternal education as a covariable.ResultsLarger PS from vegetables in both gender and milk, yoghurt, and milk beverages in males were associated with higher VO2 max, while larger PS from margarines and vegetable oils were associated with lower VO2 max (p < 0.05). Males who consumed larger PS from fish and fish products; meat substitutes, nuts, and pulses; cakes, pies, and biscuits; and sugar, honey, jams, and chocolate have a higher metabolic risk score (p < 0.05). Males with lower HOMA-IR cutoff values consumed larger PS from vegetables, milk, yoghurt, and milk beverages (p < 0.05). Females with lower HOMA-IR cutoff values consumed larger PS from breakfast cereals, while those with higher HOMA-IR cutoff values consumed larger PS from butter and animal fats (p = 0.018).ConclusionThe results show that larger PS from dairy products, cereals, and high energy dense foods are a significant determinant of IR and VO2 max, and larger PS from food with higher content of sugar were associated with higher metabolic risk score.     

Influence of the degree of adherence to the mediterranean diet and its components on cardiometabolic risk during pregnancy. The GESTAFIT project

Background and aimsStudies regarding dietary patterns and cardiometabolic risk markers during pregnancy are scarce. The aim of the present study was to analyse whether different degrees of adherence to the Mediterranean diet (MD) and the MD components were associated with cardiometabolic markers and a clustered cardiometabolic risk during pregnancy.Methods and resultsThis study comprised 119 pregnant women from the GEStation and FITness (GESTAFIT) project. Dietary habits were assessed with a food frequency questionnaire at the 16th and 34th gestational weeks (g.w.). The Mediterranean Diet Score was employed to assess MD adherence. The following cardiometabolic markers were assessed: pre-pregnancy body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting glucose, triglycerides and high-density lipoprotein cholesterol (HDL-C). A greater MD adherence was associated with a better cardiometabolic status in cross-sectional (16th g.w. and 34th g.w.) and prospective analyses (MD adherence at the 16th g.w. and cardiometabolic markers at the 34th g.w.; SBP, DBP and HDL-C; all, p < 0.05). Participants with the highest MD adherence (Tertile 3) had a lower clustered cardiometabolic risk than those with the lowest MD adherence (Tertile 1) at the 16th and 34th g.w. (both, p < 0.05). A higher intake of fruits, vegetables and fish and a lower intake of refined cereals and red meat and subproducts were associated with a lower cardiometabolic risk during pregnancy (all, p < 0.05).ConclusionA higher MD adherence, a greater intake of fruits, vegetables and fish and a lower intake of refined cereals and red meat and subproducts showed a cardioprotective effect throughout gestation.     

Sagittal abdominal diameter and waist circumference appear to be equally good as identifiers of cardiometabolic risk

Background and aimsBody mass index (BMI) and waist circumference (WC) are commonly used markers of cardiometabolic risk. However, sagittal abdominal diameter (SAD) has been proposed as a possibly more sensitive marker of intra-abdominal obesity. We investigated differences in how SAD, WC, and BMI were correlated with cardiometabolic risk markers.Methods and resultsThis cross-sectional study investigated anthropometric and metabolic baseline measurements of individuals from six trials. Multiple linear regression and (partial) correlation coefficients were used to investigate associations between SAD, WC, and BMI and cardiometabolic risk markers, including components of the metabolic syndrome as well as insulin resistance, blood lipids, and lowgrade inflammation.In total 1516 mostly overweight or obese individuals were included in the study. SAD was significantly more correlated with TG than WC for all studies, and overall increase in correlation was 0.05 (95% CI (0.02; 0.08). SAD was significantly more correlated with the markers TG and DBP 0.11 (95% CI (0.08, 0.14)) and 0.04 (95% CI (0.006, 0.07), respectively compared to BMI across all or most studies.ConclusionThis study showed that no single anthropometric indicator was consistently more strongly correlated across all markers of cardiometabolic risk. However, SAD was significantly more strongly correlated with TG than WC and significantly more strongly correlated with DBP and TG than BMI.     

Dietary polyphenols,metabolic syndrome and cardiometabolic risk factors: An observational study based on the DCH-NG subcohort

Background and aimsPolyphenol-rich foods have beneficial properties that may lower cardiometabolic risk. We aimed to prospectively investigate the relationship between intakes of dietary polyphenols, and metabolic syndrome (MetS) and its components, in 676 Danish residents from the MAX study, a subcohort of the Danish Diet, Cancer and Health–Next Generations (DCH-NG) cohort.Methods and resultsDietary data were collected using web-based 24-h dietary recalls over one year (at baseline, and at 6 and 12 months). The Phenol-Explorer database was used to estimate dietary polyphenol intake. Clinical variables were also collected at the same time point. Generalized linear mixed models were used to investigate relationships between polyphenol intake and MetS. Participants had a mean age of 43.9y, a mean total polyphenol intake of 1368 mg/day, and 75 (11.6%) had MetS at baseline. Compared to individuals with MetS in Q1 and after adjusting for age, sex, lifestyle and dietary confounders, those in Q4 – for total polyphenols, flavonoids and phenolic acids–had a 50% [OR (95% CI): 0.50 (0.27, 0.91)], 51% [0.49 (0.26, 0.91)] and 45% [0.55 (0.30, 1.00)] lower odds of MetS, respectively. Higher total polyphenols, flavonoids and phenolic acids intakes as continuous variable were associated with lower risk for elevated systolic blood pressure (SBP) and low high-density lipoprotein cholesterol (HDL-c) (p < 0.05).ConclusionsTotal polyphenol, flavonoid and phenolic acid intakes were associated with lower odds of MetS. These intakes were also consistently and significantly associated with a lower risk for higher SBP and lower HDL-c concentrations.     

Effects of fresh mango consumption on cardiometabolic risk factors in overweight and obese adults

Background & aimsIn vitro and animal studies show antidiabetic, anti-inflammatory, and cardioprotective properties of mangos. The objective of this study was to examine the effects of fresh mango consumption compared to an isocaloric control snack on body weight, glucose, insulin, lipid profiles, liver function enzymes, inflammation, and antioxidant activity in overweight and obese adults (BMI ≥26 kg/m²).Methods and resultsIn a crossover design, 27 participants consumed 100 kcal/d of fresh mangos or isocaloric low-fat cookies daily for 12 weeks each, separated by a four-week washout period. Blood glucose, C-reactive protein (CRP), and aspartate transaminase activity significantly decreased while total antioxidant capacity significantly increased following mango consumption. There were no significant changes in body weight, body fat %, blood pressure, insulin, or lipid profile following mango consumption. Cookie consumption significantly increased body weight, insulin, CRP, and triglycerides.ConclusionThese results suggest that relative to the control snack, mangos may improve certain risk factors associated with overweight and obesity including improved glycemic control and reduced inflammation.Clinical trials registerNCT03957928.     

Elevated blood pressure,cardiometabolic risk and target organ damage in youth with overweight and obesity

Background and aimTo compare cardiometabolic risk profile and preclinical signs of target organ damage in youth with normal and elevated blood pressure (BP), according to the American Academy of Pediatrics (AAP) guidelines.Methods and resultsThis cross-sectional multicenter study included 2739 youth (5-17 year-old; 170 normal-weight, 610 overweight and 1959 with obesity) defined non hypertensive by the AAP guidelines. Anthropometric, biochemical and liver ultrasound data were available in the whole population; carotid artery ultrasound and echocardiographic assessments were available respectively in 427 and 264 youth. Elevated BP was defined as BP ≥ 90th to <95th percentile for age, gender and height in children or BP ≥ 120/80 to <130/80 in adolescents. The overall prevalence of elevated BP was 18.3%, and significantly increased from normal-weight to obese youth. Young people with elevated BP showed higher levels of body mass index (BMI), insulin resistance and a higher prevalence of liver steatosis (45% vs 36%, p < 0.0001) than normotensive youth, whilst they did not differ for the other cardiometabolic risk factors, neither for carotid intima media thickness or left ventricular mass. Compared with normotensive youth, individuals with elevated BP had an odds ratio (95%Cl) of 3.60 (2.00–6.46) for overweight/obesity, 1.46 (1.19–1.78) for insulin-resistance and 1.45 (1.19–1.77) for liver steatosis, controlling for centers, age and prepubertal stage. The odds for insulin resistance and liver steatosis persisted elevated after correction for BMI-SDS.ConclusionCompared to normotensive youth, elevated BP is associated with increased BMI, insulin resistance and liver steatosis, without significant target organ damage.     

Epidemiology of dyslipidemia and associated cardiovascular risk factors in northeast China: A cross-sectional study

Background and aimsManagement of dyslipidemia remains the cornerstone for prevention of cardiovascular diseases. We aimed to evaluate the epidemiology of dyslipidemia in northeast China.Methods and resultsThis cross-sectional survey was administered on 18,796 participants aged ≥40 years from September 2017 to March 2019 through a multistage, stratified, and cluster random sampling method. Lipid profiles were proposed by National Cholesterol Education Program Adult Treatment Panel III. The crude prevalence of dyslipidemia was 35.8%, higher in urban and women than their counterparts (49.5% vs 30.2%, 37.6% vs 33.0%, p < 0.001). The age-standardized prevalence of dyslipidemia was 34.0% (urban 47.9%, and rural 28.9%; men 36.2%, and women 33.4%). The prevalence of high total cholesterol (TC), high triglyceride (TG), high low-density lipoprotein cholesterol (LDL-C) and low high-density lipoprotein cholesterol (HDL-C) were 14.2%, 17.7%, 5.7% and 11.4% respectively. Noticeably, the prevalence of high LDL-C and low HDL-C in urban areas showed a 2.2-fold and 6.3-fold increase over the rural areas (9.3% vs 4.2% and 28.4% vs 4.5%, respectively). Among participants with dyslipidemia, 14.7% were aware of their condition; 5.9% were taking lipid-regulating medications; and only 2.9% had their dyslipidemia controlled. Comorbidities including hypertension (63.6%), and diabetes (25.2%) were highly prevalent in patients with dyslipidemia, however, the control rates of those comorbidities were only 40.0% and 6.6%.ConclusionsPatients with dyslipidemia showed high cardiovascular burden with low control rates of dyslipidemia, high prevalence of coexisting risk factors. Therefore, region- and sex-specific strategies to manage dyslipidemia and related risk factors should be highlighted.     

Effects of mixed nut consumption on LDL cholesterol,lipoprotein(a), and other cardiometabolic risk factors in overweight and obese adults

Background and aimsElevated LDL-C, lipoprotein(a) [Lp(a)], and inflammation are associated with greater risk for atherosclerotic cardiovascular events. Consumption of individual nut types decreases these risk factors but knowledge about the effect of mixed nuts on Lp(a) is limited. The objective of this study was to determine the effects of consuming 42.5 g/day of mixed nuts on LDL-C, Lp(a), and inflammatory markers in individuals with overweight or obesity.Methods and resultsIn a 16-week randomized control trial, 29 participants with overweight or obesity (BMI 25–40 kg/m²) consumed either 42.5 g/day of mixed nuts (cashews, almonds, macadamia nuts, Brazil nuts, pecans, pistachios, walnuts, and peanuts) or 69 g/day isocaloric pretzels. Blood samples were collected at baseline, week 8, and week 16 for analysis on total cholesterol (TC), LDL-C, Lp(a), inflammation markers, glucose, insulin, adiponectin and liver function enzymes. No significant differences were seen in TC, LDL-C, HDL-C, Lp(a), or liver function enzymes between the two groups. Participants consuming mixed nuts had significantly lower body fat percentage and diastolic blood pressure, and higher adiponectin (all P ≤ 0.05). C-reactive protein (CRP) and 8-oxo-deoxyguanosis (8-oxodG) showed non-significant decreasing trends and total antioxidant capacity (TAC) had a non-significant increasing trend in the mixed nut group.ConclusionConsumption of mixed nuts had no evidence of an effect on LDL-C or Lp(a) throughout the intervention. Notably, mixed nut consumption lowered body fat percentage without significant changes in body weight or BMI. Future studies with larger sample sizes investigating the changing trends of CRP, 8-oxodG, and TAC are warranted.Clinical trial registerNCT03375866.     

Contribution of 20-year body mass index and waist circumference history to poor cardiometabolic health in overweight/obese and normal weight adults: A cohort study

Background and aimsWe investigated the associations of 20-year body mass index (BMI) and waist circumference (WC) histories with risk of being 1) metabolically unhealthy overweight/obese (MUOO) vs metabolically healthy overweight/obese (MHOO) and 2) metabolically unhealthy normal weight (MUNW) vs metabolically healthy normal weight (MHNW).Methods and resultsParticipants comprised 3018 adults (2280 males; 738 females) with BMI and WC measured, every ~5 years, in 1991–1994, 1997–1999, 2002–2004, 2007–2009, and 2012–2013. Mean age in 2012–2013 was 69.3 years, with a range of 59.7–82.2 years. Duration was defined as the number of times a person was overweight/obese (or centrally obese) across the 5 visits, severity as each person's mean BMI (or WC), and variability as the within-person standard deviation of BMI (or WC). At the 2013–2013 visit, participants were categorised based on their weight (overweight/obese or normal weight; body mass index (BMI) ≥25 kg/m²) and health status (healthy or unhealthy; two or more of hypertension, low high-density lipoprotein cholesterol, high triglycerides, high glucose, and high homeostatic model assessment of insulin resistance). Logistic regression was used to estimate associations with the risk of being MUNW (reference MHNW) and MUOO (reference MHOO) at the last visit. BMI and WC severity were each related to increased risk of being unhealthy, with estimates being stronger among normal weight than overweight/obese adults. The estimates for variability exposures became null upon adjustment for severity. Individuals who were overweight/obese at all 5 time points had a 1.60 (0.96–2.67) times higher risk of being MUOO than MHOO compared to those who were only overweight/obese at one (i.e., the last) time point. The corresponding estimate for central obesity was 4.20 (2.88–6.12). Greater duration was also related to higher risk of MUNW than MHNW.ConclusionBeing overweight/obese yet healthy seems to be partially attributable to lower exposure to adiposity across 20 years of adulthood. The results highlight the importance of maintaining optimum and stable BMI and WC, both in adults who become and do not become overweight/obese.     

Neck circumference for predicting the occurrence of future cardiovascular events: A 7.6-year longitudinal study

Background & aimsThis study aimed to investigate whether neck circumference (NC) could be used to predict future cardiovascular (CV) events in a community-based Chinese cohort.Methods and resultsWe enrolled 1435 participants aged 50–80 years (men, 43.62%) from communities in Shanghai. High NC was defined as NC ≥ 38.5 cm in men and NC ≥ 34.5 cm in women. Kaplan-Meier analysis and Cox proportional hazards regression were performed to explore the association between NC and CV events. During a mean follow-up period of 7.6 years, 148 CV events (10.31%) occurred. The incidence of CV events was higher in men than in women (83 (13.26%) vs. 65 (8.03%), P = 0.002). Multivariable-adjusted Cox regression analysis showed that for every 1-SD increase in NC in the whole population, the hazard ratio (HR) of CV events was 1.45 (95% confidence interval [CI], 1.15–1.83). The dose-response association between NC and CV events was significant in men (HR, 1.37, 95% CI, 1.10–1.71) but not in women (HR, 1.19, 95% CI, 0.94–1.52). In comparison with participants showing low baseline NC, those with high baseline NC showed a significantly higher risk of CV events (HR, 1.59, 95% CI, 1.14–2.22). Further stratified by sex, the positive association remained significant in men (HR, 1.90, 95% CI, 1.21–2.98) but not in women (HR, 1.25, 95% CI, 0.75–2.07).ConclusionNC was significantly associated with the risk of future CV events in middle-aged and elderly populations in the community and was a better predictor in men.     

Causal associations of body mass index and waist-to-hip ratio with cardiometabolic traits among Chinese children: A Mendelian randomization study

Background and aimsBody mass index (BMI) and waist-to-hip ratio (WHR) have been reported to be causally associated with cardiometabolic diseases in adults in European populations. However, this causality was less explored in East Asian populations and in children. Our study aimed to explore and compare the causal associations of general obesity (measured by BMI) and central obesity (measured by WHR) with cardiometabolic traits.Methods and resultsWe performed a Mendelian randomization (MR) analysis in 2030 unrelated children from two independent case–control studies in Beijing, China. BMI-associated single nucleotide polymorphisms (SNPs) and WHR-SNPs identified by previous genome-wide association studies were used as genetic instruments to examine the casual associations of BMI and WHR with cardiometabolic traits, including glycemic traits, blood lipids, and blood pressure. Each 1-SD increase in BMI and WHR were significantly associated with 0.111 mmol/L and 0.110 mmol/L increase in log-transformed fasting insulin (FINS), 0.049 and 0.060 increase in log-transformed HOMA-β, 0.112 and 0.108 increase in log-transformed HOMA-IR, 0.009 mmol/L and 0.015 mmol/L increase in log-transformed triglyceride, and 15.527 mmHg and 7.277 mmHg increase in systolic blood pressure, respectively (all P < 0.05). The receiver operating characteristic curves showed that WHR had a stronger effect on FINS, HOMA-β, HOMA-IR, and triglyceride than BMI (all P < 0.05).ConclusionsUsing the MR method, we found that the genetic predisposition to higher BMI or WHR was associated with altered cardiometabolic traits in Chinese children. When compared with general obesity, central obesity might have stronger effects on glycemic traits and blood lipids among children.     

Low-grade inflammation independently associates with cardiometabolic risk in children with overweight/obesity

Background and aimsPediatric obesity associates with both low-grade inflammation and cardiometabolic risk on the population level. Yet on an individual patient level, overweight/obesity does not always equal increased cardiometabolic risk. In this study, we examine whether low-grade inflammation associates with cardiometabolic risk in Danish children, independent of degree of adiposity. We further assess the value of integrating multiple inflammation markers to identify children with very-high cardiometabolic risk profiles.Method and resultsWe studied 2192 children and adolescents aged 6–18 years from an obesity clinic cohort and a population-based cohort, in a cross-sectional study design. Anthropometry, blood pressure, pubertal stage and body composition by dual-energy X-ray absorptiometry were assessed, and biomarkers including fasting serum high sensitivity C-reactive protein (hsCRP), white blood cells (WBC), resistin, lipid profile and glucose metabolism were measured. Adjusted correlation analysis and odds ratios were calculated. We found that, independent of degree of adiposity, having high-normal inflammation marker concentrations associated with increased cardiometabolic risk: for girls, hsCRP >0.57–9.98 mg/L (mid/upper tertile) associated with ~2-fold higher odds of dyslipidemia and hepatic steatosis (vs. lower tertile). For both sexes, WBC >7.0–12.4 10⁹/L (upper tertile) associated with 2.5-fold higher odds of insulin resistance. Lastly, children with multiple inflammation markers in the high-normal range exhibited the most severe cardiometabolic risk profile.ConclusionLow-grade inflammation associates with cardiometabolic risk in children independent of degree of adiposity. The associations vary with sex and inflammation marker measured. Finally, integrating multiple low-grade inflammation markers identifies a very-high-risk subgroup of children with overweight/obesity and may have clinical value.     

Long-term burden of higher body mass index from childhood on adult cardiometabolic biomarkers: A 30-year cohort study

Background and aimsData are limited regarding the association between long-term burden of higher body mass index (BMI) from childhood and cardiometabolic biomarkers.Methods and resultsA total of 1553 individuals aged 6–15 years, who were examined 4 or more times for BMI since childhood and followed for 30 years were included in our analysis. Total area under the curve (AUCt) and incremental AUC (AUCi) were calculated as the long-term burden and trends of BMI. Cardiometabolic biomarkers including serum uric acid (SUA), fasting blood-glucose (FBG), and triglyceride to high-density lipoprotein cholesterol ratio (TG/HDL-C) were obtained from venous blood samples. The results showed a positive association of BMI AUCt and AUCi with cardiometabolic biomarkers. After adjusting for demographic variables, the AUCt and AUCi of BMI were significantly associated with a higher level of SUA (β = 3.71; 2.87), FBG (β = 0.09; 0.09), and TG/HDL-C (β = 0.14; 0.11). We performed further studies after dividing subjects into four groups according to AUCt and AUCi of BMI by quartiles. Compared with the lowest quartile group, the highest quartile group had significantly increased risk ratios of hyperuricemia (RR = 2.01; 1.74), type 2 diabetes mellitus (RR = 8.18; 3.96), and high-risk TG/HDL-C (RR = 4.05; 3.26).ConclusionOur study identifies all subjects’ BMI growth curve from childhood and indicates that the long-term burden of higher BMI significantly increases the cardiometabolic risk, and the impact of excessive body weight on cardiometabolic health originates in early life. We emphasize the importance of weight control from childhood for cardiometabolic health.     

Identification of genetic loci simultaneously associated with multiple cardiometabolic traits

Background and aimsCardiometabolic disorders (CMD) arise from a constellation of features such as increased adiposity, hyperlipidemia, hypertension and compromised glucose control. Many genetic loci have shown associations with individual CMD-related traits, but no investigations have focused on simultaneously identifying loci showing associations across all domains. We therefore sought to identify loci associated with risk across seven continuous CMD-related traits.Methods and resultsWe conducted separate genome-wide association studies (GWAS) for systolic and diastolic blood pressure (SBP/DBP), hemoglobin A1c (HbA1c), low- and high- density lipoprotein cholesterol (LDL-C/HDL-C), waist-to-hip-ratio (WHR), and triglycerides (TGs) in the UK Biobank (N = 356,574–456,823). Multiple loci reached genome-wide levels of significance (N = 145–333) for each trait, but only four loci (in/near VEGFA, GRB14-COBLL1, KLF14, and RGS19-OPRL1) were associated with risk across all seven traits (P < 5 × 10^?8). We sought replication of these four loci in an independent set of seven trait-specific GWAS meta-analyses. GRB14-COBLL1 showed the most consistent replication, revealing nominally significant associations (P < 0.05) with all traits except DBP.ConclusionsOur analyses suggest that very few loci are associated in the same direction of risk with traits representing the full spectrum of CMD features. We identified four such loci, and an understanding of the pathways between these loci and CMD risk may eventually identify factors that can be used to identify pathologic disturbances that represent broadly beneficial therapeutic targets.     

The association between meat intake and the risk of coronary heart disease in Korean men using the Framingham risk score: A prospective cohort study

Background and aimsResearch suggests that meat intake may increase the risk of coronary heart disease (CHD), but most studies take place in Western countries, where the types and amount of meat products consumed differ from those in Asian countries. We aimed to identify the association between meat intake and CHD risk in Korean male adults, using the Framingham risk score.Methods and resultsWe used data from the Korean Genome and Epidemiology Study (KoGES) Health Examinees (HEXA) study, including 13,293 Korean male adults. We estimated the association of meat intake with ≥20% 10-year CHD risk using Cox proportional hazards regression models to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs). Subjects with the highest total meat intake had a 53% (model 4: HR 1.53, 95% CI 1.05–2.21) increased 10-year CHD risk compared to those with the lowest intake. Those with the highest red meat intake had a 55% (model 3: HR 1.55, 95% CI 1.16–2.06) increased 10-year CHD risk compared to those with the lowest intake. No association was observed between poultry or processed meat intake and 10-year CHD risk.ConclusionsConsumption of total meat and red meat was associated with a higher risk of CHD in Korean male adults. Further studies are needed to provide criteria for the appropriate meat intake by meat type to reduce CHD risk.     

Role of socioeconomic,lifestyle, and clinical factors in the progression of cardiometabolic multimorbidity in China: A 10-year prospective cohort study

Background and aimsCardiometabolic multimorbidity has become increasingly common over the past few decades. Little is known about how risk factors affect temporal progression of cardiometabolic multimorbidity. We aim to explore the role of socioeconomic, lifestyle, and clinical risk factors in the progression of cardiometabolic multimorbidity.Methods and resultsThis prospective cohort study included 56,587 participants aged ≥45 years who were free of diabetes, stroke, and heart disease. Three clusters of risk factors were assessed and each on a 5-point scale: socioeconomic, lifestyle, and clinical factors. We used multi-state models (MSMs) to examine the roles of risk factors in five transitions of multimorbidity trajectory: from healthy to first cardiometabolic disease, first cardiometabolic disease to cardiometabolic multimorbidity, health to mortality, first cardiometabolic disease to mortality, and cardiometabolic multimorbidity to mortality. In MSMs, socioeconomic (HR: 1.21; 95% CI: 1.19–1.25) and clinical (HR: 1.53; 95% CI: 1.51–1.56) scales were associated with the transition from health to first cardiometabolic. Socioeconomic (HR: 2.39; 95% CI: 2.24–2.54) and lifestyle (HR: 1.22; 95% CI: 1.18–1.26) scales were associated with the transitions from first disease to cardiometabolic multimorbidity. In addition, socioeconomic and lifestyle scales were associated with increased risk of mortality in people without cardiometabolic disease, with first cardiometabolic disease, and with cardiometabolic multimorbidity.ConclusionsSocioeconomic and lifestyle factors were not only important predictors of multimorbidity in those with existing cardiometabolic disease, but also important in shaping risk of mortality. However, clinical factors were the only key determinants of incidence of a first cardiometabolic disease.