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1.
Global Health ; 19(1): 50, 2023 Jul 13.
Article in English | MEDLINE | ID: mdl-37443076

ABSTRACT

BACKGROUND: Metabolic syndrome (MetS) has become a growing risk factor of some non-communicable diseases. Increase of greenhouse gas emissions affects the planet. AIMS: To assess the association between MetS severity and amount of carbon dioxide (CO2) emitted in an adult population. DESIGN: Cross-sectional study (n = 6646; 55-76-year-old-men; 60-75-year-old-women with MetS). METHODS: Dietary habits were assessed using a pre-validated semi quantitative 143-item food frequency questionnaire. The amount of CO2 emitted due to the production of food consumed by person and day was calculated using a European database, and the severity of the MetS was calculated with the MetS Severity Score. RESULTS: Higher glycaemia levels were found in people with higher CO2 emissions. The risk of having high severe MetS was related to high CO2 emissions. CONCLUSIONS: Low CO2 emissions diet would help to reduce MetS severity. Advantages for both health and the environment were found following a more sustainable diet. TRIAL REGISTRATION: ISRCTN, ISRCTN89898870 . Registered 05 September 2013.


Subject(s)
Metabolic Syndrome , Male , Adult , Humans , Female , Middle Aged , Aged , Metabolic Syndrome/epidemiology , Metabolic Syndrome/etiology , Carbon Dioxide , Cross-Sectional Studies , Diet/adverse effects , Risk Factors
2.
Clin Nutr ; 39(3): 853-861, 2020 03.
Article in English | MEDLINE | ID: mdl-30952534

ABSTRACT

BACKGROUND & AIMS: Few studies have compared micronutrient intake and fulfilment of average requirements (EAR) in non-diabetic, pre-diabetic and diabetic adults at high cardiovascular risk. We assessed these variables in a large sample of participants in the PREDIMED-PLUS randomized trial of primary cardiovascular prevention with diet and physical activity. DESIGN: Baseline assessment of nutritional adequacy in n = 5792 men and women, aged 55-75 years, with overweight/obesity and some metabolic syndrome features. METHODS: Participants were categorised as non-diabetic (n = 2390), pre-diabetic (n = 1322) or diabetic (n = 2080) by standard criteria. Food and nutrient intake were assessed using a validated food frequency questionnaire. Micronutrients examined were vitamins B1, B2, B3, B6, B12, A, C, D, E and folic acid; Ca, K, P, Mg, Fe, Se, Cr, Zn, and iodine. The proportion of micronutrient inadequacy was evaluated using the EAR or adequate intake (AI) cut-offs. Diet quality was also determined using a 17-item energy-restricted Mediterranean diet (MedDiet) questionnaire. RESULTS: Compared to non-diabetic participants, those with pre-diabetes had lower intakes of total carbohydrates (CHO) and higher intakes of total fat and saturated fatty acids (SFA) and were more likely to be below EAR for folic, while diabetic participants had lower intakes of total CHO and higher intakes of protein, total fat, monounsaturated fatty acids, SFA and cholesterol and were less likely to be below EAR for vitamins B2, and B6, Ca, Zn and iodine. Diabetic participants disclosed higher adherence to the MedDiet than the other two groups. CONCLUSIONS: Older Mediterranean individuals with metabolic syndrome and diabetes had better nutrient adequacy and adherence to the MedDiet than those with pre-diabetes or no diabetes.


Subject(s)
Diet, Mediterranean/statistics & numerical data , Geriatric Assessment/methods , Metabolic Syndrome/diet therapy , Nutrition Assessment , Nutritional Status , Patient Compliance/statistics & numerical data , Aged , Cross-Sectional Studies , Female , Humans , Male , Micronutrients/administration & dosage , Middle Aged , Spain , Surveys and Questionnaires
3.
Eur J Nutr ; 59(5): 2195-2206, 2020 Aug.
Article in English | MEDLINE | ID: mdl-31385063

ABSTRACT

PURPOSE: To assess the association between the consumption of non-soy legumes and different subtypes of non-soy legumes and serum uric acid (SUA) or hyperuricemia in elderly individuals with overweight or obesity and metabolic syndrome. METHODS: A cross-sectional analysis was conducted in the framework of the PREDIMED-Plus study. We included 6329 participants with information on non-soy legume consumption and SUA levels. Non-soy legume consumption was estimated using a semi-quantitative food frequency questionnaire. Linear regression models and Cox regression models were used to assess the associations between tertiles of non-soy legume consumption, different subtypes of non-soy legume consumption and SUA levels or hyperuricemia prevalence, respectively. RESULTS: Individuals in the highest tertile (T3) of total non-soy legume, lentil and pea consumption, had 0.14 mg/dL, 0.19 mg/dL and 0.12 mg/dL lower SUA levels, respectively, compared to those in the lowest tertile (T1), which was considered the reference one. Chickpea and dry bean consumption showed no association. In multivariable models, participants located in the top tertile of total non-soy legumes [prevalence ratio (PR): 0.89; 95% CI 0.82-0.97; p trend = 0.01, lentils (PR: 0.89; 95% CI 0.82-0.97; p trend = 0.01), dry beans (PR: 0.91; 95% C: 0.84-0.99; p trend = 0.03) and peas (PR: 0.89; 95% CI 0.82-0.97; p trend = 0.01)] presented a lower prevalence of hyperuricemia (vs. the bottom tertile). Chickpea consumption was not associated with hyperuricemia prevalence. CONCLUSIONS: In this study of elderly subjects with metabolic syndrome, we observed that despite being a purine-rich food, non-soy legumes were inversely associated with SUA levels and hyperuricemia prevalence. TRIAL REGISTRATION: ISRCTN89898870. Registration date: 24 July 2014.


Subject(s)
Fabaceae , Hyperuricemia , Metabolic Syndrome , Aged , Cross-Sectional Studies , Humans , Hyperuricemia/epidemiology , Prevalence , Risk Factors , Uric Acid
4.
Nutrients ; 11(4)2019 Mar 30.
Article in English | MEDLINE | ID: mdl-30935087

ABSTRACT

BACKGROUND: Nut consumption has been associated with improved nutrient adequacy and diet quality in healthy adult populations but this association has never been explored in individuals at high cardiovascular risk. OBJECTIVE: to assess the associations between consumption of nuts and nutrient adequacy and diet quality in a Mediterranean population at high cardiovascular risk. DESIGN: baseline assessment of nutritional adequacy in participants (n = 6060, men and women, with ages 55⁻75 years old, with overweight/obesity and metabolic syndrome) in the PREDIMED-PLUS primary cardiovascular prevention randomized trial. METHODS: nut intake was assessed using a validated food frequency questionnaire. Participants who reported consuming zero quantity of nuts were classified as 'non-nut consumers'. 'Nut consumers' were participants who reported consuming any quantity of nuts. Nineteen micronutrients were examined (vitamins B1, B2, B3, B6, B12, A, C, D, E and folic acid; Ca, K, P, Mg, Fe, Se, Cr, Zn, and iodine). The proportion of micronutrient inadequacy was estimated using the estimated average requirements (EAR) or adequate intake (AI) cut-points. Diet quality was also assessed using a 17-item Mediterranean dietary questionnaire (Mediterranean diet score, MDS), a carbohydrate quality index (CQI) and a fat quality index (FQI). RESULTS: eighty-two percent of participants were nut consumers (median of nut consumption 12.6 g/day; interquartile range: 6.0⁻25.2). Nut consumers were less likely to be below the EAR for vitamins A, B1, B2, B6, C, D, E, folic acid, and Ca, Mg, Se and Zn than non-nut consumers. Nut consumers were also more likely to be above the AI for K and Cr than non-nut consumers. Nut consumers had lower prevalence of inadequate micronutrient intakes, but also higher CQI, higher FQI, and better scores of adherence to the Mediterranean diet (Mediterranean diet score, MDS). CONCLUSIONS: nut consumers had better nutrient adequacy, diet quality, and adherence to the MedDiet than those non-nut consumers.


Subject(s)
Cardiovascular Diseases/prevention & control , Diet/adverse effects , Metabolic Syndrome/complications , Nuts , Obesity/complications , Aged , Cardiovascular Diseases/etiology , Diet/methods , Diet, Mediterranean , Energy Intake , Female , Humans , Male , Micronutrients/analysis , Middle Aged , Nutrition Surveys , Nutritional Status , Risk Factors
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