14 research outputs found
Dairy product consumption and changes in cognitive performance: two-year analysis of the PREDIMED-Plus Cohort
Scope: Dairy consumption has been suggested to impact cognition; however, evidence is limited and inconsistent. This study aims to longitudinally assess the association between dairy consumption with cognitive changes in an older Spanish population at high cardiovascular disease risk.
Methods and results: Four thousand six hundred sixty eight participants aged 55–75 years, completed a validated food frequency questionnaire at baseline and a neuropsychological battery of tests at baseline and 2-year follow-up. Multivariable linear regression models are used, scaled by 100 (i.e., the units of β correspond to 1 SD/100), to assess associations between baseline tertile daily consumption and 2-year changes in cognitive performance. Participants in the highest tertile of total milk and whole-fat milk consumption have a greater decline in global cognitive function (β: –4.71, 95% CI: –8.74 to –0.69, p-trend = 0.020 and β: –6.64, 95% CI: –10.81 to –2.47, p-trend = 0.002, respectively) compared to those in the lowest tertile. No associations are observed between low fat milk, yogurt, cheese or fermented dairy consumption, and changes in cognitive performance.
Conclusion:Results suggest there are no clear prospective associations between consumption of most commonly consumed dairy products and cognition, although there may be an association with a greater rate of cognitive decline over a 2-year period in older adults at high cardiovascular disease risk for whole-fat milk
Carbon dioxide (CO2) emissions and adherence to Mediterranean diet in an adult population: the Mediterranean diet index as a pollution level index
Background Research related to sustainable diets is is highly relevant to provide better understanding of the impact of dietary intake on the health and the environment. Aim To assess the association between the adherence to an energy-restricted Mediterranean diet and the amount of CO2 emitted in an older adult population. Design and population Using a cross-sectional design, the association between the adherence to an energy-reduced Mediterranean Diet (erMedDiet) score and dietary CO2 emissions in 6646 participants was assessed. Methods Food intake and adherence to the erMedDiet was assessed using validated food frequency questionnaire and 17-item Mediterranean questionnaire. Sociodemographic characteristics were documented. Environmental impact was calculated through greenhouse gas emissions estimations, specifically CO2 emissions of each participant diet per day, using a European database. Participants were distributed in quartiles according to their estimated CO2 emissions expressed in kg/day: Q1 (= 2.80 kg CO2). Results More men than women induced higher dietary levels of CO2 emissions. Participants reporting higher consumption of vegetables, fruits, legumes, nuts, whole cereals, preferring white meat, and having less consumption of red meat were mostly emitting less kg of CO2 through diet. Participants with higher adherence to the Mediterranean Diet showed lower odds for dietary CO2 emissions: Q2 (OR 0.87; 95%CI: 0.76-1.00), Q3 (OR 0.69; 95%CI: 0.69-0.79) and Q4 (OR 0.48; 95%CI: 0.42-0.55) vs Q1 (reference). Conclusions The Mediterranean diet can be environmentally protective since the higher the adherence to the Mediterranean diet, the lower total dietary CO2 emissions. Mediterranean Diet index may be used as a pollution level index
Pro-vegetarian food patterns and cardiometabolic risk in the PREDIMED-Plus study: a cross-sectional baseline analysis
[Purpose]: We explored the cross-sectional association between the adherence to three different provegetarian (PVG) food patterns defined as general (gPVG), healthful (hPVG) and unhealthful (uPVG), and the cardiometabolic risk in adults with metabolic syndrome (MetS) of the PREDIMED-Plus randomized intervention study.
[Methods]: We performed a cross-sectional analysis of baseline data from 6439 participants of the PREDIMED-Plus randomized intervention study. The gPVG food pattern was built by positively scoring plant foods (vegetables/fruits/legumes/grains/potatoes/nuts/olive oil) and negatively scoring, animal foods (meat and meat products/animal fats/eggs/fish and seafood/dairy products). The hPVG and uPVG were generated from the gPVG by adding four new food groups (tea and coffee/fruit juices/sugar-sweetened beverages/sweets and desserts), splitting grains and potatoes and scoring them differently. Multivariable-adjusted robust linear regression using MM-type estimator was used to assess the association between PVG food patterns and the standardized Metabolic Syndrome score (MetS z-score), a composed index that has been previously used to ascertain the cardiometabolic risk, adjusting for potential confounders.
[Results]: A higher adherence to the gPVG and hPVG was associated with lower cardiometabolic risk in multivariable models. The regression coefficients for 5th vs. 1st quintile were − 0.16 (95% CI: − 0.33 to 0.01) for gPVG (p trend: 0.015), and − 0.23 (95% CI: − 0.41 to − 0.05) for hPVG (p trend: 0.016). In contrast, a higher adherence to the uPVG was associated with higher cardiometabolic risk, 0.21 (95% CI: 0.04 to 0.38) (p trend: 0.019).
[Conclusion]: Higher adherence to gPVG and hPVG food patterns was generally associated with lower cardiovascular risk, whereas higher adherence to uPVG was associated to higher cardiovascular risk.This work was supported by the official Spanish Institutions for funding scientific biomedical research, CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN) and Instituto de Salud Carlos III (ISCIII), through the Fondo de Investigación para la Salud (FIS), which is co-funded by the European Regional Development Fund (six coordinated FIS projects leaded by JS-S and JVi, including the following projects: PI13/00673, PI13/00492, PI13/00272, PI13/01123, PI13/00462, PI13/00233, PI13/02184, PI13/00728, PI13/01090, PI13/01056, PI14/01722, PI14/00636, PI14/00618, PI14/00696, PI14/01206, PI14/01919, PI14/00853, PI14/01374, PI14/00972, PI14/00728, PI14/01471, PI16/00473, PI16/00662, PI16/01873, PI16/01094, PI16/00501, PI16/00533, PI16/00381, PI16/00366, PI16/01522, PI16/01120, PI17/00764, PI17/01183, PI17/00855, PI17/01347, PI17/00525, PI17/01827, PI17/00532, PI17/00215, PI17/01441, PI17/00508, PI17/01732, PI17/00926, PI19/00957, PI19/00386, PI19/00309, PI19/01032, PI19/00576, PI19/00017, PI19/01226, PI19/00781, PI19/01560, PI19/01332, PI20/01802, PI20/00138, PI20/01532, PI20/00456, PI20/00339, PI20/00557, PI20/00886, PI20/01158); the Especial Action Project entitled: Implementación y evaluación de una intervención intensiva sobre la actividad física Cohorte PREDIMED-Plus grant to JS-S; the European Research Council (Advanced Research Grant 2014–2019; agreement #340918) granted to MÁM-G.; the Recercaixa (number 2013ACUP00194) grant to JS-S; grants from the Consejería de Salud de la Junta de Andalucía (PI0458/2013, PS0358/2016, PI0137/2018); the PROMETEO/2017/017 grant from the Generalitat Valenciana; the SEMERGEN grant; None of the funding sources took part in the design, collection, analysis, interpretation of the data, or writing the report, or in the decision to submit the manuscript for publication
Ultra-processed foods consumption as a promoting factor of greenhouse gas emissions, water, energy, and land use: A longitudinal assessment
Background: Dietary patterns can produce an environmental impact. Changes in people's diet, such as the increased consumption of ultra-processed food (UPF) can not only influence human health but also environment sustainability. Objectives: Assessment of the impact of 2-year changes in UPF consumption on greenhouse gas emissions and water, energy and land use. Design A 2-year longitudinal study after a dietary intervention including 5879 participants from a Southern European population between the ages of 55-75 years with metabolic syndrome. Methods Food intake was assessed using a validated 143-item food frequency questionnaire, which allowed classifying foods according to the NOVA system. In addition, sociodemographic data, Mediterranean diet adherence, and physical activity were obtained from validated questionnaires. Greenhouse gas emissions, water, energy and land use were calculated by means of the Agribalyse® 3.0.1 database of environmental impact indicators for food items. Changes in UPF consumption during a 2-year period were analyzed. Statistical analyses were conducted using computed General Linear Models. Results: Participants with major reductions in their UPF consumption reduced their impact by −0.6 kg of CO2eq and −5.3 MJ of energy. Water use was the only factor that increased as the percentage of UPF was reduced. Conclusions: Low consumption of ultra-processed foods may contribute to environmental sustainability. The processing level of the consumed food should be considered not only for nutritional advice on health but also for environmental protection
Adopting a High-Polyphenolic Diet Is Associated with an Improved Glucose Profile: Prospective Analysis within the PREDIMED-Plus Trial
Previous studies suggested that dietary polyphenols could reduce the incidence and complications of type-2 diabetes (T2D); although the evidence is still limited and inconsistent. This work analyzes whether changing to a diet with a higher polyphenolic content is associated with an improved glucose profile. At baseline, and at 1 year of follow-up visits, 5921 participants (mean age 65.0 ± 4.9, 48.2% women) who had overweight/obesity and metabolic syndrome filled out a validated 143-item semi-quantitative food frequency questionnaire (FFQ), from which polyphenol intakes were calculated. Energy-adjusted total polyphenols and subclasses were categorized in tertiles of changes. Linear mixed-effect models with random intercepts (the recruitment centers) were used to assess associations between changes in polyphenol subclasses intake and 1-year plasma glucose or glycosylated hemoglobin (HbA1c) levels. Increments in total polyphenol intake and some classes were inversely associated with better glucose levels and HbA1c after one year of follow-up. These associations were modified when the analyses were run considering diabetes status separately. To our knowledge, this is the first study to assess the relationship between changes in the intake of all polyphenolic groups and T2D-related parameters in a senior population with T2D or at high-risk of developing T2
Diastolic dysfunction and exercise capacity in patients with metabolic syndrome and overweight/obesity
Background: Left ventricle diastolic dysfunction (LVDD) is a common finding in high risk individuals, its presence
being associated with reduced exercise capacity (EC). We assessed the prevalence of LVDD, applying the 2016
guidelines of the American Society of Echocardiography (ASE)/European Association of Cardiovascular Imaging
(EACVI), in a population with overweight/obesity and metabolic syndrome and its association with EC.
Methods and results: This was a prospective, cross-sectional study of a cohort of 235 patients (mean age of 65 ±
5 years old and 33% female) without heart disease and an ejection fraction N50% who underwent a complete
echocardiographic assessment and cardiopulmonary exercise testing. Individuals meeting three or more criteria
of the 2016 ASE/EACVI guidelines are considered to have LVDD, while tests are considered indeterminate in those
meeting only two. Overall, 178 (76%) of our patients met one echocardiographic cutoff value for LVDD, 91 (39%)
met two and 7 (3%) three or more. Patients meeting three cutoffs values showed a significant reduction in
maximal oxygen uptake (16 ± 3 vs. 19.6 ± 5 ml/kg/min, p b .05), unlike those with indeterminate tests. In multiple regression analysis, meeting three cutoffs was associated with number of METS (ß = −2.2, p = .018).
In exploratory analysis, using two criteria based on cutoffs different from those proposed in the guidelines, we
identified groups with different EC.
Conclusions: The application of 2016 ASE/EACVI guidelines limited the prevalence of LVDD to 3%. This group
showed a clear reduction of the EC. New echocardiographic cutoff values proposed in this study allow us to
establish subgroups with different levels of EC
Metabolic syndrome criteria and severity and carbon dioxide (CO2) emissions in an adult population
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
Pro‑vegetarian food patterns and cardiometabolic risk in the PREDIMED‑Plus study: a cross‑sectional baseline analysis
LThis work was supported by the official Spanish Institutions for funding scientific biomedical research, CIBER Fisiopatologia de la Obesidad y Nutricion (CIBEROBN) and Instituto de Salud Carlos III (ISCIII), through the Fondo de Investigacion para la Salud (FIS), which is co-funded by the European Regional Development Fund (six coordinated FIS projects leaded by JS-S and JVi, including the following projects: PI13/00673, PI13/00492, PI13/00272, PI13/01123, PI13/00462, PI13/00233, PI13/02184, PI13/00728, PI13/01090, PI13/01056, PI14/01722, PI14/00636, PI14/00618, PI14/00696, PI14/01206, PI14/01919, PI14/00853, PI14/01374, PI14/00972, PI14/00728, PI14/01471, PI16/00473, PI16/00662, PI16/01873, PI16/01094, PI16/00501, PI16/00533, PI16/00381, PI16/00366, PI16/01522, PI16/01120, PI17/00764, PI17/01183, PI17/00855, PI17/01347, PI17/00525, PI17/01827, PI17/00532, PI17/00215, PI17/01441, PI17/00508, PI17/01732, PI17/00926, PI19/00957, PI19/00386, PI19/00309, PI19/01032, PI19/00576, PI19/00017, PI19/01226, PI19/00781, PI19/01560, PI19/01332, PI20/01802, PI20/00138, PI20/01532, PI20/00456, PI20/00339, PI20/00557, PI20/00886, PI20/01158); the Especial Action Project entitled: Implementacion y evaluacion de una intervencion intensiva sobre la actividad fisica Cohorte PREDIMED-Plus grant to JS-S; the European Research Council (Advanced Research Grant 2014-2019; agreement #340918) granted to MAM-G.; the Recercaixa (number 2013ACUP00194) grant to JS-S; grants from the Consejeria de Salud de la Junta de Andalucia (PI0458/2013, PS0358/2016, PI0137/2018); the PROMETEO/2017/017 grant from the Generalitat Valenciana; the SEMERGEN grant; None of the funding sources took part in the design, collection, analysis, interpretation of the data, or writing the report, or in the decision to submit the manuscript for publication.Purpose We explored the cross-sectional association between the adherence to three different provegetarian (PVG) food
patterns defined as general (gPVG), healthful (hPVG) and unhealthful (uPVG), and the cardiometabolic risk in adults with
metabolic syndrome (MetS) of the PREDIMED-Plus randomized intervention study.
Methods We performed a cross-sectional analysis of baseline data from 6439 participants of the PREDIMED-Plus randomized
intervention study. The gPVG food pattern was built by positively scoring plant foods (vegetables/fruits/legumes/
grains/potatoes/nuts/olive oil) and negatively scoring, animal foods (meat and meat products/animal fats/eggs/fish and
seafood/dairy products). The hPVG and uPVG were generated from the gPVG by adding four new food groups (tea and coffee/
fruit juices/sugar-sweetened beverages/sweets and desserts), splitting grains and potatoes and scoring them differently.
Multivariable-adjusted robust linear regression using MM-type estimator was used to assess the association between PVG
food patterns and the standardized Metabolic Syndrome score (MetS z-score), a composed index that has been previously
used to ascertain the cardiometabolic risk, adjusting for potential confounders.
Results A higher adherence to the gPVG and hPVG was associated with lower cardiometabolic risk in multivariable models.
The regression coefficients for 5th vs. 1st quintile were − 0.16 (95% CI: − 0.33 to 0.01) for gPVG (p trend: 0.015), and −
0.23 (95% CI: − 0.41 to − 0.05) for hPVG (p trend: 0.016). In contrast, a higher adherence to the uPVG was associated with
higher cardiometabolic risk, 0.21 (95% CI: 0.04 to 0.38) (p trend: 0.019).
Conclusion Higher adherence to gPVG and hPVG food patterns was generally associated with lower cardiovascular risk,
whereas higher adherence to uPVG was associated to higher cardiovascular risk.official Spanish InstitutionsCIBER Fisiopatologia de la Obesidad y Nutricion (CIBEROBN)Instituto de Salud Carlos III (ISCIII), through the Fondo de Investigacion para la Salud (FIS)European Commission PI13/00673
PI13/00492
PI13/00272
PI13/01123
PI13/00462
PI13/00233
PI13/02184
PI13/00728
PI13/01090
PI13/01056
PI14/01722
PI14/00636
PI14/00618
PI14/00696
PI14/01206
PI14/01919
PI14/00853
PI14/01374The European Regional Development Fund PI14/00972
PI14/00728
PI14/01471
PI16/00473
PI16/00662
PI16/01873
PI16/01094
PI16/00501
PI16/00533
PI16/00381
PI16/00366
PI16/01522
PI16/01120
PI17/00764
PI17/01183
PI17/00855
PI17/01347
PI17/00525
PI17/01827
PI17/00532
PI17/00215European Commission PI17/01441
PI17/00508
PI17/01732
PI17/00926
PI19/00957
PI19/00386
PI19/00309
PI19/01032
PI19/00576
PI19/00017
PI19/01226
PI19/00781
PI19/01560
PI19/01332
PI20/01802
PI20/00138
PI20/01532
PI20/00456
PI20/00339
PI20/00557
PI20/00886
PI20/01158Especial Action Project entitled: Implementacion y evaluacion de una intervencion intensiva sobre la actividad fisica Cohorte PREDIMED-Plus grantEuropean Research Council (ERC)European Commission 340918La Caixa Foundation 2013ACUP00194Junta de Andalucia PI0458/2013
PS0358/2016
PI0137/2018Generalitat Valenciana
European Commission PROMETEO/2017/017SEMERGEN gran
Factors associated with successful dietary changes in an energy-reduced Mediterranean diet intervention: a longitudinal analysis in the PREDIMED-Plus trial.
Long-term nutrition trials may fail to respond to their original hypotheses if participants do not comply with the intended dietary intervention. We aimed to identify baseline factors associated with successful dietary changes towards an energy-reduced Mediterranean diet (MedDiet) in the PREDIMED-Plus randomized trial. Longitudinal analysis of 2985 participants (Spanish overweight/obese older adults with metabolic syndrome) randomized to the active intervention arm of the PREDIMED-Plus trial. Dietary changes were assessed with a 17-item energy-reduced MedDiet questionnaire after 6 and 12 months of follow-up. Successful compliance was defined as dietary changes from baseline of ≥ 5 points for participants with baseline scores Consistent factors independently associated with successful dietary change at both 6 and 12 months were high baseline perceived self-efficacy in modifying diet (OR6-month: 1.51, 95% CI 1.25-1.83; OR12-month: 1.66, 95% CI 1.37-2.01), higher baseline fiber intake (OR6-month: 1.62, 95% CI 1.07-2.46; OR12-month: 1.62, 95% CI 1.07-2.45), having > 3 chronic conditions (OR6-month: 0.65, 95% CI 0.53-0.79; OR12-month: 0.76, 95% CI 0.62-0.93), and suffering depression (OR6-month: 0.80, 95% CI 0.64-0.99; OR12-month: 0.71, 95% CI 0.57-0.88). Our results suggested that recruitment of individuals with high perceived self-efficacy to dietary change, and those who initially follow diets relatively richer in fiber may lead to greater changes in nutritional recommendations. Participants with multiple chronic conditions, specifically depression, should receive specific tailored interventions. ISRCTN registry 89898870, 24th July 2014 retrospectively registered http://www.isrctn.com/ISRCTN89898870
Metabolic syndrome criteria and severity and carbon dioxide (CO) emissions in an adult population
Metabolic syndrome (MetS) has become a growing risk factor of some non-communicable diseases. Increase of greenhouse gas emissions affects the planet. To assess the association between MetS severity and amount of carbon dioxide (CO) emitted in an adult population. Cross-sectional study (n = 6646; 55-76-year-old-men; 60-75-year-old-women with MetS). Dietary habits were assessed using a pre-validated semi quantitative 143-item food frequency questionnaire. The amount of CO 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. Higher glycaemia levels were found in people with higher CO emissions. The risk of having high severe MetS was related to high CO emissions. Low CO emissions diet would help to reduce MetS severity. Advantages for both health and the environment were found following a more sustainable diet. ISRCTN, . Registered 05 September 2013