Associations Between Eating Speed, Diet Quality, Adiposity, and Cardiometabolic Risk Factors.

OBJECTIVE: To assess the associations between eating speed, adiposity, cardiometabolic risk factors, and diet quality in a cohort of Spanish preschool-children. STUDY DESIGN: A cross-sectional study in 1371 preschool age children (49% girls; mean age, 4.8 ± 1.0 years) from the Childhood Obesity Risk Assessment Longitudinal Study (CORALS) cohort was conducted. After exclusions, 956 participants were included in the analyses. The eating speed was estimated by summing the total minutes used in each of the 3 main meals and then categorized into slow, moderate, or fast. Multiple linear and logistic regression models were fitted to assess the ß-coefficient, or OR and 95% CI, between eating speed and body mass index, waist circumference, fat mass index (FMI), blood pressure, fasting plasma glucose, and lipid profile. RESULTS: Compared with participants in the slow-eating category, those in the fast-eating category had a higher prevalence risk of overweight/obesity (OR, 2.9; 95% CI, 1.8-4.4; P < .01); larger waist circumference (ß, 2.6 cm; 95% CI, 1.5-3.8 cm); and greater FMI (ß, 0.3 kg/m2; 95% CI, 0.1-0.5 kg/m2), systolic blood pressure (ß, 2.8 mmHg; 95% CI, 0.6-4.9 mmHg), and fasting plasma glucose levels (ß, 2.7 mg/dL, 95% CI, 1.2-4.2 mg/dL) but lower adherence to the Mediterranean diet (ß, -0.5 points; 95% CI, -0.9 to -0.1 points). CONCLUSIONS: Eating fast is associated with higher adiposity, certain cardiometabolic risk factors, and lower adherence to a Mediterranean diet. Further long-term and interventional studies are warranted to confirm these associations.

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

BACKGROUND AND AIMS: Total 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 RESULTS: A 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) (ß = -1.04 cm; 95%CI:-1.81, -0.26), fasting glucose levels (ß = -2.41 mg/dL; 95%CI(-4.19, -0.63) and LDL-cholesterol (ß = -4.11 mg/dL; 95%CI:-6.93, -1.36), but, unexpectedly, higher systolic blood pressure (BP) (ß = 1.84 mmHg; 95%CI: 0.37, 3.30) and diastolic BP (ß = 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 (ß = -0.92 cm; 95%CI:-1.56, -0.27) and glucose levels (ß = -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. CONCLUSION: Fruit 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.

Association between dairy product consumption and hyperuricemia in an elderly population with metabolic syndrome.

BACKGROUND AND AIMS: The prevalence of hyperuricemia has increased substantially in recent decades. It has been suggested that it is an independent risk factor for weight gain, hypertension, hypertriglyceridemia, metabolic syndrome (MetS), and cardiovascular disease. Results from epidemiological studies conducted in different study populations have suggested that high consumption of dairy products is associated with a lower risk of developing hyperuricemia. However, this association is still unclear. The aim of the present study is to explore the association of the consumption of total dairy products and their subtypes with the risk of hyperuricemia in an elderly Mediterranean population with MetS. METHODS AND RESULTS: Baseline cross-sectional analyses were conducted on 6329 men/women (mean age 65 years) with overweight/obesity and MetS from the PREDIMED-Plus cohort. Dairy consumption was assessed using a food frequency questionnaire. Multivariable-adjusted Cox regressions were fitted to analyze the association of quartiles of consumption of total dairy products and their subtypes with the prevalence of hyperuricemia. Participants in the upper quartile of the consumption of total dairy products (multiadjusted prevalence ratio (PR) = 0.84; 95% CI: 0.75-0.94; P-trend 0.02), low-fat dairy products (PR = 0.79; 95% CI: 0.70-0.89; P-trend <0.001), total milk (PR = 0.81; 95% CI: 0.73-0.90; P-trend<0.001), low-fat milk (PR = 0.80; 95% CI: 0.72-0.89; P-trend<0.001, respectively), low-fat yogurt (PR = 0.89; 95% CI: 0.80-0.98; P-trend 0.051), and cheese (PR = 0.86; 95% CI: 0.77-0.96; P-trend 0.003) presented a lower prevalence of hyperuricemia. Whole-fat dairy, fermented dairy, and yogurt consumption were not associated with hyperuricemia. CONCLUSIONS: High consumption of total dairy products, total milk, low-fat dairy products, low-fat milk, low-fat yogurt, and cheese is associated with a lower risk of hyperuricemia.

Increased ultra-processed food consumption is associated with worsening of cardiometabolic risk factors in adults with metabolic syndrome: Longitudinal analysis from a randomized trial.

BACKGROUND AND AIMS: The association between changes in ultra-processed food (UPF) consumption and cardiometabolic risk (CMR) factors remains understudied. We evaluated the association between changes in UPF consumption over 12 months of follow-up and changes in CMR factors in adults diagnosed with metabolic syndrome. METHODS: We analysed data from 5373 adults (aged 55-75 years) participating in the PREDIMED-Plus trial. Diet was evaluated at baseline, 6- and 12-month visits using a validated food frequency questionnaire, and UPF consumption (in grams/day and percentage of total daily dietary intake in grams) was categorized based on NOVA classification. We used mixed-effects linear models with repeated measurements at baseline, 6 and 12 months of follow-up to assess the associations between changes in UPF consumption and changes in CMR factors adjusting for sociodemographic and lifestyles variables. RESULTS: In multivariable-adjusted models, when comparing the highest versus the lowest quartile of UPF consumption, positive associations were found for several CMR factors: weight (kg, ß = 1.09; 95% confidence interval 0.91 to 1.26); BMI (kg/m2, ß = 0.39; 0.33 to 0.46); waist circumference (cm, ß = 1.03; 0.81 to 1.26); diastolic blood pressure (mm Hg, ß = 0.67; 0.29 to 1.06); fasting blood glucose (mg/dl, ß = 1.66; 0.61 to 2.70); HbA1c (%, ß = 0.04; 0.01 to 0.07); triglycerides (mg/dl, ß = 6.79; 3.66 to 9.91) and triglycerides and glucose index (ß = 0.06; 0.04 to 0.08). CONCLUSIONS: Higher UPF consumption was associated with adverse evolution in objectively measured CMR factors after 12 months of follow-up in adults with metabolic syndrome. Further research is needed to explore whether these changes persist for longer periods.

Total and Subtypes of Dietary Fat Intake and Its Association with Components of the Metabolic Syndrome in a Mediterranean Population at High Cardiovascular Risk.

Background: The effect of dietary fat intake on the metabolic syndrome (MetS) and in turn on cardiovascular disease (CVD) remains unclear in individuals at high CVD risk. Objective: To assess the association between fat intake and MetS components in an adult Mediterranean population at high CVD risk. Design: Baseline assessment of nutritional adequacy in participants (n = 6560, men and women, 55-75 years old, with overweight/obesity and MetS) in the PREvención con DIeta MEDiterránea (PREDIMED)-Plus randomized trial. Methods: Assessment of fat intake (total fat, monounsatured fatty acids: MUFA, polyunsaturated fatty acids: PUFA, saturated fatty acids: SFA, trans-fatty acids: trans-FA, linoleic acid, α-linolenic acid, and ω-3 FA) using a validated food frequency questionnaire, and diet quality using 17-item Mediterranean dietary questionnaire and fat quality index (FQI). Results: Participants in the highest quintile of total dietary fat intake showed lower intake of energy, carbohydrates, protein and fiber, but higher intake of PUFA, MUFA, SFA, TFA, LA, ALA and ω-3 FA. Differences in MetS components were found according to fat intake. Odds (5th vs. 1st quintile): hyperglycemia: 1.3-1.6 times higher for total fat, MUFA, SFA and ω-3 FA intake; low high-density lipoprotein cholesterol (HDL-c): 1.2 higher for LA; hypertriglyceridemia: 0.7 lower for SFA and ω-3 FA intake. Conclusions: Dietary fats played different role on MetS components of high CVD risk patients. Dietary fat intake was associated with higher risk of hyperglycemia.