0000000000104316

AUTHOR

Vicente Martín Sánchez

showing 12 related works from this author

Associations Between the Modified Food Standard Agency Nutrient Profiling System Dietary Index and Cardiovascular Risk Factors in an Elderly Populati…

2022

Background: Helping consumers to improve the nutritional quality of their diet is a key public health action to prevent cardiovascular diseases (CVDs). The modified version of the Food Standard Agency Nutrient Profiling System Dietary Index (FSAm- NPS DI) underpinning the Nutri-Score front-of-pack label has been used in public health strategies to address the deleterious consequences of poor diets. This study aimed to assess the association between the FSAm-NPS DI and some CVD risk factors including body mass index (BMI), waist circumference, plasma glucose levels, triglyceride levels, high-density lipoprotein (HDL) and low-density lipoprotein (LDL) cholesterol, and diastolic and systolic b…

Nutrition and DieteticsEndocrinology Diabetes and MetabolismPes corporalPREDIMED-Plus studyBody weightfront of pack food labelingCardiovascular risk factorFront of pack food labelingFSAm-NPS dietary indexCardiovascular systembody weightcardiovascular risk factorSistema cardiovascularFood ScienceFrontiers in nutrition
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Milk and Dairy Products Intake Is Related to Cognitive Impairment at Baseline in Predimed Plus Trial

2021

Scope: To examine the association between milk and dairy products intake and the prevalence of cognitive decline among Spanish individuals at high cardiovascular risk. Methods and results: Cross-sectional analyses are performed on baseline data from 6744 adults (aged 55-75 years old). Intake of milk and dairy products is estimated using a food frequency questionnaire grouped into quartiles. The risk of developing cognitive impairment is based on the Mini-Mental State Examination (MMSE). A higher prevalence of cognitive decline was found in subjects who consumed more grams. Patients with worse MMSE score (10-24) consumed a mean of 395.14 ± 12.21 g, while patients with better MMSE score (27-3…

Male0301 basic medicineConsumptionCultured Milk ProductsCognitive declinePositive correlation03 medical and health sciencesCognitionAnimalsHumansMedicineCognitive DysfunctionCognitive declineCognitive impairmentAged2. Zero hunger030109 nutrition & dieteticsbusiness.industryCognitionBaseline dataMiddle AgedPredimedWhole milkCross-Sectional StudiesMilk030104 developmental biologyQuartileFemaleDairy ProductsbusinessFood ScienceBiotechnologyDemographyMolecular Nutrition & Food Research
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Mediterranean, DASH, and MIND dietary patterns and cognitive function: The 2-year longitudinal changes in an older Spanish cohort

2021

Wu, L., and Sun, D. (2017). Adherence to Mediterranean diet and risk of developing cognitive disorders: an updated systematic review and meta-analysis of prospective cohort studies. Sci. Rep. 7:41317. doi: 10.1038/srep41317 Wu, Z., Phyo, A. Z. Z., Al-harbi, T., Woods, R. L., and Ryan, J. (2020). Distinct cognitive trajectories in late life and associated predictors and outcomes: a systematic review. J. Alzheimer’s Dis. Rep. 4, 459–478. doi: 10.3233/ADR-200232 Conflict of Interest: SKN was a volunteer member of the not-for profit group Plant Based Canada. JS-S reported receiving research support from the Instituto de Salud Carlos III, Ministerio de Educación y Ciencia, Departament de Salut P…

cognitionMediterranean diet (MedDiet)AgingDietèticaFood habitsCognitive NeuroscienceNeurociència cognitivaDietary patternNeurosciences. Biological psychiatry. NeuropsychiatryDieta mediterràniaPersones grans03 medical and health sciencesCognició en les persones grans0302 clinical medicineCognitionOlder people nutritionDASH diet030212 general & internal medicineOriginal Research2. Zero hungerHàbits alimentarisCognitive neuroscienceAlimentació de les persones gransDietCognicióDietaMIND dietdietary pattern030217 neurology & neurosurgeryRC321-571Neuroscience
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High Fruit and Vegetable Consumption and Moderate Fat Intake Are Associated with Higher Carotenoid Concentration in Human Plasma

2021

This research was funded by CICYT [AGL2016-75329-R] and CIBEROBN from the Instituto de Salud Carlos III, ISCIII from the Ministerio de Ciencia, Innovación y Universidades, (AEI/FEDER, UE), Generalitat de Catalunya (GC) [2017SGR196]. The PREDIMED-Plus trial 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 (four coordinated Fondo de Investigaciones Sanitarias projects lead by J.S.-S. and J.V., including the following projects: PI13…

0301 basic medicineMediterranean dietFruit (Feed)PhysiologyClinical BiochemistryCarotenoidesLiquid chromatography030209 endocrinology & metabolismmatrix effect absorptionBiochemistryArticle03 medical and health sciences0302 clinical medicineMediterranean cookingFat intakeplasma carotenoidsMediterranean dietCuina mediterràniapolycyclic compoundsliquid chromatographyFood scienceCuina (Hortalisses)Molecular BiologyCarotenoidmass spectrometry2. Zero hungerchemistry.chemical_classificationConsumption (economics)030109 nutrition & dieteticsbioactive compoundsMass spectrometryorganic chemicalslcsh:RM1-950food and beveragesPREDIMED-Plus studyCell Biologydietary fatsphytochemicalsCarotenoidsbiological factorsCooking (Vegetables)3. Good healthlcsh:Therapeutics. PharmacologychemistryFruita (Aliment)Human plasmasense organsMatrix effect absorptionAntioxidants
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Carbohydrate quality changes and concurrent changes in cardiovascular risk factors: a longitudinal analysis in the PREDIMED-Plus randomized trial.

2020

[Background]: Overall quality of dietary carbohydrate intake rather than total carbohydrate intake may determine the risk of cardiovascular disease (CVD).

PREDIMED-Plus carbohydrate carbohydrate quality index cardiovascular disease fiber glycemic index obesity randomized controlled trialsMaleobesity030309 nutrition & dieteticsMedicine (miscellaneous)030204 cardiovascular system & hematologyOverweightchemistry.chemical_compound0302 clinical medicinecardiovascular diseaseRisk FactorsSurveys and QuestionnairesGlycemic indexLongitudinal StudiesProspective Studies2. Zero hunger0303 health sciencesNutrition and DieteticsMiddle AgedCardiovascular disease3. Good healthGlycemic indexCardiovascular Diseasesrandomized controlled trialsRandomized controlled trialsFemalemedicine.symptomfibermedicine.medical_specialtyWaistCarbohydrates03 medical and health sciencesInternal medicinemedicineDietary CarbohydratesHumansFiberObesityAgedCarbohydrate quality indexTriglyceridebusiness.industryPREDIMED-PlusOverweightmedicine.diseaseObesityDietBlood pressurechemistrycarbohydratecarbohydrate quality indexglycemic indexGlycated hemoglobinMetabolic syndromebusinessEnergy Intake
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Association Between Lifestyle and Hypertriglyceridemic Waist Phenotype in the PREDIMED-Plus Study.

2019

Objective: The hypertriglyceridemic waist (HTGW) phenotype is characterized by abdominal obesity and high levels of triglycerides. In a cross-sectional assessment of PREDIMED-Plus trial participants at baseline, HTGW phenotype prevalence was evaluated, associated risk factors were analyzed, and the lifestyle of individuals with metabolic syndrome and HTGW was examined. Methods: A total of 6,874 individuals aged 55 to 75 with BMI ≥ 27 and < 40 kg/m2 were included and classified by presence (HTGW+ ) or absence (HTGW- ) of HTGW (waist circumference: men ≥ 102 cm, women ≥ 88 cm; fasting plasma triglycerides ≥ 150 mg/dL). Analytical parameters and lifestyle (energy intake and expenditure) were a…

MaleEndocrinology Diabetes and MetabolismMedicine (miscellaneous)030209 endocrinology & metabolismTriglycerides blood03 medical and health sciences0302 clinical medicineEndocrinologyRisk FactorsMedicineHumans030212 general & internal medicineLife StyleTriglyceridesAged2. Zero hungerNutrition and Dieteticsbusiness.industryLife styleEuropean researchHypertriglyceridemic WaistMiddle AgedPredimed3. Good healthHypertriglyceridemic WaistCross-Sectional StudiesPhenotypeMulticenter studyObesity AbdominalFemaleWaist CircumferencebusinessDemographyObesity (Silver Spring, Md.)References
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Use of Different Food Classification Systems to Assess the Association between Ultra-Processed Food Consumption and Cardiometabolic Health in an Elde…

2021

The PREDIMED-Plus trial was supported by the European Research Council (Advanced Research grant 2014–2019; agreement #340918; granted to M.Á.M.-G.); 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 (coordinated FIS projects led by J.S-S. and J.V., 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, PI…

Síndrome metabólicoMaleFood processingMediterranean dietNOVAObesidadÍndice de masa corporal:Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans [Medical Subject Headings]0302 clinical medicineultra-processed foodMedicineTX341-641:Diseases::Pathological Conditions Signs and Symptoms::Signs and Symptoms::Body Weight::Overweight [Medical Subject Headings]Body mass indexclassification systemsIncidenceIARC:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Data Collection::Questionnaires [Medical Subject Headings]Metabolic syndrome3. Good healthNutriciónCohortManipulación de alimentosDietaFactores de riesgo cardiometabólicoConcordanceUNC:Check Tags::Male [Medical Subject Headings]ClasificaciónClassification systemsDiet SurveysArticle03 medical and health sciencesfood processingHumans:Diseases::Cardiovascular Diseases [Medical Subject Headings]Aged030109 nutrition & dietetics:Health Care::Health Care Economics and Organizations::Organizations::International Agencies [Medical Subject Headings]:Persons::Persons::Age Groups::Adult::Middle Aged [Medical Subject Headings]PREDIMED-Plusmedicine.diseaseObesity:Diseases::Nutritional and Metabolic Diseases::Nutrition Disorders::Overnutrition::Obesity [Medical Subject Headings]Blood pressure:Check Tags::Female [Medical Subject Headings]:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cohort Studies [Medical Subject Headings]Linear ModelsFast FoodsMetabolic syndromeOlder people0301 basic medicineSíndrome metabòlicaFood HandlingOverweightDiet MediterraneanPersones gransCohort Studiescardiometabolic riskEndocrinología030212 general & internal medicine:Persons::Persons::Age Groups::Adult::Aged [Medical Subject Headings]2. Zero hungerMetabolic SyndromeNutrition and Dietetics:Technology and Food and Beverages::Technology Industry and Agriculture::Industry::Food Industry::Food Handling [Medical Subject Headings]:Analytical Diagnostic and Therapeutic Techniques and Equipment::Therapeutics::Nutrition Therapy::Diet Therapy::Diet Mediterranean [Medical Subject Headings]Middle Aged:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Data Collection::Health Surveys::Nutrition Surveys::Diet Surveys [Medical Subject Headings]Female:Technology and Food and Beverages::Food and Beverages::Food::Fast Foods [Medical Subject Headings]medicine.symptom:Diseases::Nutritional and Metabolic Diseases::Metabolic Diseases::Glucose Metabolism Disorders::Hyperinsulinism::Insulin Resistance::Metabolic Syndrome X [Medical Subject Headings]Dietética y nutrición:Analytical Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Physical Examination::Body Constitution::Body Weights and Measures::Body Mass Index [Medical Subject Headings]:Phenomena and Processes::Physiological Phenomena::Nutritional Physiological Phenomena::Diet [Medical Subject Headings]:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Data Collection::Vital Statistics::Morbidity::Incidence [Medical Subject Headings]Environmental healthMediterranean dietObesityAlimentos ultraprocesados:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Models Statistical::Linear Models [Medical Subject Headings]NutricióNutrition:Geographical Locations::Geographic Locations::Europe::Spain [Medical Subject Headings]business.industryNutrition. Foods and food supplyCardiometabolic Risk FactorsOverweightDieta mediterráneaCardiometabolic riskUltra-processed foodDietSpainIFICSobrepesoFood processingbusinessdietFood ScienceNutrients
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Factors associated with influenza vaccination of hospitalized elderly patients in Spain

2016

Vaccination of the elderly is an important factor in limiting the impact of influenza in the com- munity. The aim of this study was to investigate the factors associated with influenza vacci- nation coverage in hospitalized patients aged 65 years hospitalized due to causes unrelated to influenza in Spain. We carried out a cross-sectional study. Bivariate analysis was performed comparing vaccinated and unvaccinated patients, taking in to account sociodemographic variables and medical risk conditions. Multivariate analysis was per- formed using multilevel regression models. We included 1038 patients: 602 (58%) had received the influenza vaccine in the 2013 - 14 season. Three or more general p…

RNA virusesMaleViral Diseaseslcsh:MedicineGlobal HealthPersones gransGeographical LocationsPneumococcal VaccinesElderlyMedicine and Health SciencesPublic and Occupational HealthVacunaciólcsh:SciencePathology and laboratory medicineAged 80 and overVaccinesVaccinationMedical microbiologyVaccination and ImmunizationEuropeInfectious DiseasesStreptococcus pneumoniaeInfluenza A virusInfluenza VaccinesVirusesFemalePathogensAssistència hospitalàriaResearch ArticleImmunologyMicrobiologyInfluenzavirusPatient Education as TopicInfluenza HumanHumansInfluenza virusesEspanyaAgedInpatientsHospital careMarital Statuslcsh:ROrganismsViral pathogensBiology and Life SciencesPneumonia PneumococcalInfluenzaMicrobial pathogensCross-Sectional StudiesSocial ClassAge GroupsSpainPeople and PlacesPopulation Groupingslcsh:QPreventive MedicineOlder peopleOrthomyxoviruses
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Comparison of body mass index (BMI) with the CUN-BAE body adiposity estimator in the prediction of hypertension and type 2 diabetes

2016

BACKGROUND: Obesity is a world-wide epidemic whose prevalence is underestimated by BMI measurements, but CUN-BAE (Clínica Universidad de Navarra - Body Adiposity Estimator) estimates the percentage of body fat (BF) while incorporating information on sex and age, thus giving a better match. Our aim is to compare the BMI and CUN-BAE in determining the population attributable fraction (AFp) for obesity as a cause of chronic diseases. METHODS: We calculated the Pearson correlation coefficient between BMI and CUN-BAE, the Kappa index and the internal validity of the BMI. The risks of arterial hypertension (AHT) and diabetes mellitus (DM) and the AFp for obesity were assessed using both the BMI a…

Male:Analytical Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Physical Examination::Anthropometry [Medical Subject Headings]:Health Care::Environment and Public Health::Public Health::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cross-Sectional Studies [Medical Subject Headings]ObesidadType 2 diabetesÍndice de masa corporalCUN-BAEBody Mass Index:Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans [Medical Subject Headings]Diabetes mellitus0302 clinical medicineMedicine030212 general & internal medicineBody mass indexAdiposity:Persons::Persons::Age Groups::Adult::Aged [Medical Subject Headings]education.field_of_studyDiabetisAnthropometryDiabetes:Diseases::Pathological Conditions Signs and Symptoms::Signs and Symptoms::Body Weight::Overweight::Obesity [Medical Subject Headings]Middle Aged:Anatomy::Tissues::Connective Tissue::Adipose Tissue [Medical Subject Headings]CausalityAdipose TissueBody fatHypertensionObesitatFemaleHipertensióResearch ArticleAdultmedicine.medical_specialty:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Anthropometry::Body Weights and Measures::Body Mass Index [Medical Subject Headings]Population:Check Tags::Male [Medical Subject Headings]030209 endocrinology & metabolismBody adiposity index:Health Care::Environment and Public Health::Public Health::Epidemiologic Factors::Causality [Medical Subject Headings]03 medical and health sciences:Diseases::Cardiovascular Diseases::Vascular Diseases::Hypertension [Medical Subject Headings]Population attributable fractionClassification of obesityInternal medicineHipertensiónHumansObesityeducation:Persons::Persons::Age Groups::Adult [Medical Subject Headings]Aged:Phenomena and Processes::Physiological Phenomena::Body Constitution::Body Composition::Body Fat Distribution::Adiposity [Medical Subject Headings]Body volume indexbusiness.industryPublic Health Environmental and Occupational Health:Diseases::Endocrine System Diseases::Diabetes Mellitus::Diabetes Mellitus Type 2 [Medical Subject Headings]:Persons::Persons::Age Groups::Adult::Middle Aged [Medical Subject Headings]medicine.diseaseObesityCross-Sectional StudiesEndocrinologyDiabetes Mellitus Type 2:Check Tags::Female [Medical Subject Headings]Attributable riskbusinessBody mass indexDemographyAntropometria
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Pandemic influenza A (H1N1) infection in pregnant and nonpregnant women in Spain (2009-2010)

2014

The present study aimed to compare the main features of infection with pandemic influenza A virus in pregnant and nonpregnant women admitted to hospitals in Spain during the first waves of the 2009-2010 influenza pandemic. This was a prospective (November 2009 to June 2010), multicenter observational study. All cases were women of reproductive age who had not been vaccinated against seasonal or pandemic influenza A. Influenza infection was confirmed by reverse transcription-polymerase chain reaction (RT-PCR). The sociodemographic and clinical data of all cases were reviewed. A total of 219 inpatients, including 49 pregnant women and 170 nonpregnant women, were enrolled in the study upon adm…

AdultMicrobiology (medical)medicine.medical_specialtyAdolescentmedicine.drug_classAntibioticsDonesReproductive ageInfluenzavirusVirusYoung AdultEmbarassadesInfluenza A Virus H1N1 SubtypePregnancyInternal medicineInfluenza HumanmedicineHumansInfluenza virusesWomenPregnancy Complications InfectiousPandemicsRespiratory distressbusiness.industryPregnant womenPandemic influenzaGeneral MedicineInfluenza pandemicInfectious DiseasesIncreased riskSpainCase-Control StudiesFemaleObservational studybusiness
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Influenza vaccination of primary healthcare physicians may be associated with vaccination in their patients: a vaccination coverage study

2015

Background: To assess the contribution of physician-related factors, especially their influenza vaccine status, in the vaccination coverage of their patients. Methods: A study of vaccination coverage was carried out in Spain in 2011–12. The dependent variable (vaccination coverage in patients aged ≥65 years) was obtained from regional records. Information was gathered on the vaccination of physicians through an anonymous web survey. We compared the vaccination coverage of patients with the vaccination of their physicians using the Student t test. Associations were determined using a multilevel regression model. Results: The coverage in patients aged ≥ 65 years was 56.3% and was higher (57.3…

AdultMaleCoverageHealth BehaviorVaccinationMiddle AgedInfluenzavirusPersones gransInfluenzaPhysicians Primary CareElderlyPhysicianInfluenza VaccinesInfluenza HumanInfluenza virusesHumansFemaleOlder peopleRelacions metge-pacientVaccinePhysician-patient relationshipsResearch ArticleAgedBMC Family Practice
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Managing an online survey about influenza vaccination in primary healthcare workers

2015

Online surveys are increasingly used due to their speed and efficiency. The aim of this study was to analyze factors that may have contributed to the quality and speed of response of an online survey on influenza vaccination in primary healthcare workers. A multicenter study including family physicians, nurses and pediatricians from primary healthcare teams from seven Spanish Autonomous Communities was designed. The centers were selected by simple random sampling. The survey remained active and accessible for 56 days and four reminders were sent. The odds ratios (OR) and their 95% confidence intervals (CI) were calculated to assess the association of sociodemographic variables and respondin…

AdultMaledata collectionMedicinaeducationNursesEnquestesprimary healthcare workersMass VaccinationArticlePhysicians Primary CareInvestigacióSurveys and QuestionnairesHumansVacunacióAgedPrimary health careInternetMethodologyPhysicians FamilyMetodologiaMiddle Agedresearch designData processingPrimary healthcare workersmethodological considerations.Atenció primàriaResearch designInfluenza VaccinesSpainData collectionOnline surveyonline surveyFemaleClinical Competencepsychological phenomena and processesProcessament de dades
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