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1.
Atherosclerosis ; 377: 12-23, 2023 07.
Article in English | MEDLINE | ID: mdl-37343432

ABSTRACT

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.


Subject(s)
Metabolic Syndrome , Adult , Humans , Metabolic Syndrome/diagnosis , Metabolic Syndrome/epidemiology , Food, Processed , Cardiometabolic Risk Factors , Fast Foods/adverse effects , Diet/adverse effects , Triglycerides
2.
Front Endocrinol (Lausanne) ; 13: 868795, 2022.
Article in English | MEDLINE | ID: mdl-35846291

ABSTRACT

Objective: To evaluate the effect of Non-alcoholic fatty liver disease (NAFLD) status in the impact of lifestyle over Health-related quality of life (HRQoL) in patients with metabolic syndrome (MetS). Methods: Baseline and 1 year follow up data from the PREDIMED-plus cohort (men and women, 55-75 years old with overweight/obesity and MetS) were studied. Adherence to an energy-restricted Mediterranean Diet (er-MeDiet) and Physical Activity (PA) were assessed with a validated screeners. Hepatic steatosis index (HSI) was implemented to evaluate NAFLD while the SF-36 questionnaire provided HRQoL evaluation. Statistical analyses were performed to evaluate the influence of baseline NAFLD on HRQoL as affected by lifestyle during 1 year of follow up. Results: Data from 5205 patients with mean age of 65 years and a 48% of female participants. Adjusted linear multivariate mixed regression models showed that patients with lower probability of NAFLD (HSI < 36 points) were more responsive to er-MeDiet (ß 0.64 vs ß 0.05 per er-MeDiet adherence point, p< 0.01) and PA (ß 0.05 vs ß 0.01 per MET-h/week, p = 0.001) than those with high probability for NAFLD in terms Physical SF-36 summary in the 1 year follow up. 10 points of er-MeDiet adherence and 50 MET-h/week were thresholds for a beneficial effect of lifestyle on HRQoL physical domain in patients with lower probability of NAFLD. Conclusion: The evaluation of NAFLD by the HSI index in patients with MetS might identify subjects with different prospective sensitivity to lifestyle changes in terms of physical HRQoL (http://www.isrctn.com/ISRCTN89898870).


Subject(s)
Metabolic Syndrome , Non-alcoholic Fatty Liver Disease , Aged , Female , Humans , Life Style , Male , Middle Aged , Prospective Studies , Quality of Life
4.
Nutr Metab Cardiovasc Dis ; 30(2): 214-222, 2020 02 10.
Article in English | MEDLINE | ID: mdl-31791636

ABSTRACT

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.


Subject(s)
Dairy Products , Diet, Fat-Restricted , Diet, Healthy , Hyperuricemia/prevention & control , Metabolic Syndrome/epidemiology , Risk Reduction Behavior , Uric Acid/blood , Age Factors , Aged , Biomarkers/blood , Cross-Sectional Studies , Female , Humans , Hyperuricemia/blood , Hyperuricemia/diagnosis , Hyperuricemia/epidemiology , Male , Metabolic Syndrome/diagnosis , Middle Aged , Nutritive Value , Obesity/epidemiology , Prevalence , Randomized Controlled Trials as Topic , Recommended Dietary Allowances , Risk Assessment , Risk Factors , Spain/epidemiology
5.
PLoS One ; 12(7): e0181697, 2017.
Article in English | MEDLINE | ID: mdl-28750027

ABSTRACT

The mechanisms that can contribute in the fish movement strategies and the associated behaviour can be complex and related to the physiology, genetic and ecology of each species. In the case of the brown trout (Salmo trutta), in recent research works, individual differences in mobility have been observed in a population living in a high mountain river reach (Pyrenees, NE Spain). The population is mostly sedentary but a small percentage of individuals exhibit a mobile behavior, mainly upstream movements. Metabolomics can reflect changes in the physiological process and can determine different profiles depending on behaviour. Here, a non-targeted metabolomics approach was used to find possible changes in the blood metabolomic profile of S. trutta related to its movement behaviour, using a minimally invasive sampling. Results showed a differentiation in the metabolomic profiles of the trouts and different level concentrations of some metabolites (e.g. cortisol) according to the home range classification (pattern of movements: sedentary or mobile). The change in metabolomic profiles can generally occur during the upstream movement and probably reflects the changes in metabolite profile from the non-mobile season to mobile season. This study reveals the contribution of the metabolomic analyses to better understand the behaviour of organisms.


Subject(s)
Trout/metabolism , Animals , Behavior, Animal , Ecosystem , Female , Male , Metabolic Networks and Pathways , Metabolome , Rivers , Spain , Swimming/physiology
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