Search results for " OBESITY"

showing 10 items of 504 documents

Obesity and Abdominal Fat Markers in Patients with a History of Stroke and Transient Ischemic Attacks.

2016

Background Abdominal obesity is a well-recognized cardiovascular risk factor. Conflicting data concerning its significance with respect to stroke have been discussed in recent years. The objective of this study was to analyze the association between anthropometric parameters and the risk of stroke and transient ischemic attacks (TIAs) in German primary care. Methods Patient recruitment in this large-scale epidemiological study was performed in 3188 representative primary care offices in Germany. Among 6980 study participants, 1745 patients with a history of stroke or TIA were identified and matched for age and gender with 5235 regional controls. Associations between standard anthropometric …

Male030204 cardiovascular system & hematologyBody Mass Index0302 clinical medicineRisk FactorsGermanyEpidemiologyOdds Ratio030212 general & internal medicineStrokeAbdominal obesityAdiposityAged 80 and overAnthropometryRehabilitationMiddle AgedPrognosisStrokeIschemic Attack TransientArea Under CurveObesity AbdominalFemalemedicine.symptomWaist CircumferenceCardiology and Cardiovascular Medicinemedicine.medical_specialtyWaistAbdominal FatRisk Assessment03 medical and health sciencesPredictive Value of TestsInternal medicinemedicineHumanscardiovascular diseasesRisk factorAgedPrimary Health Carebusiness.industryWaist-Hip RatioOdds ratioAnthropometrymedicine.diseaseCross-Sectional StudiesLogistic ModelsROC CurveCase-Control StudiesPhysical therapySurgeryNeurology (clinical)businessBody mass indexJournal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
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Effect of a Parent-Focused eHealth Intervention on Children’s Fruit, Vegetable, and Discretionary Food Intake (Food4toddlers): Randomized Controlled …

2021

Background In Western countries, children’s diets are often low in fruits and vegetables and high in discretionary foods. Diet in early life tends to track through childhood and youth and even into adulthood. Interventions should, therefore, be delivered in periods when habitual traits are established, as in toddlerhood when children adapt to their family’s diet. Objective In this study, we assessed the effect of the Food4toddlers eHealth intervention, which aimed to enhance toddlers’ diets by shaping their food and eating environment. Methods The Food4toddlers randomized controlled trial was conducted in Norway in 2017-2018. Parent-child dyads were recruited through social media. In total…

Male030309 nutrition & dieteticsPsychological interventionComputer-assisted web interviewinglaw.invention0302 clinical medicinePROGRAMSRandomized controlled triallawSurveys and QuestionnairesADOLESCENTSVegetablesMedicine and Health Sciencesvegetable030212 general & internal medicineGeneralized estimating equationinterventionchild0303 health scienceslcsh:Public aspects of medicinetoddlerTelemedicineHABITSINFANCYlcsh:R858-859.7FemaleCHILDHOOD OBESITYSTRATEGIESDIET QUALITYHealth Informaticslcsh:Computer applications to medicine. Medical informaticsChildhood obesityVDP::Medisinske Fag: 700::Helsefag: 800::Ernæring: 81103 medical and health sciencesIntervention (counseling)medicineeHealthHumansEXPOSUREToddlerOriginal Paperbusiness.industryInfantCONSUMPTIONlcsh:RA1-1270fruitFeeding Behaviormedicine.diseasediscretionary foodrandomized controlled trialPATTERNSeHealthbusinessDemographyJournal of Medical Internet Research
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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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Non-alcoholic fatty liver disease in adults 2021: A clinical practice guideline of the Italian Association for the Study of the Liver (AISF), the Ita…

2021

Nonalcoholic fatty liver disease (NAFLD) is a common and emerging liver disease in adults, paralleling the epidemic of obesity and diabetes, and leading to worrisome events (hepatocellular carcinoma and end-stage liver disease). In the last years, mounting evidence added insights about epidemiology, natural history, diagnosis and lifestyle-based or drug treatment of NAFLD. In this rapidly evolving scenario, members of the Associazione Italiana per lo Studio del Fegato (AISF), the Società Italiana di Diabetologia (SID) and the Società Italiana dell'Obesità (SIO) reviewed current knowledge on NAFLD. The quality of the published evidence is graded, and practical recommendations are made follow…

MaleAdultEndocrinology Diabetes and MetabolismSettore MED/12 - GASTROENTEROLOGIAMedicine (miscellaneous)Settore MED/09GuidelineGuidelinesGuidelines NAFLD NASHNon-alcoholic Fatty Liver DiseaseMedicalNAFLDHumansObesitySocieties MedicalPatient Care TeamNutrition and DieteticsGuidelines; NAFLD; NASH; Adult; Delivery of Health Care; Humans; Obesity; Non-alcoholic Fatty Liver Disease; Sudden Infant DeathHepatologyGastroenterologyNASHDisease ManagementGuidelines; NAFLD; NASH; Adult; Delivery of Health Care; Female; Humans; Italy; Male; Patient Care Team; Societies Medical; Disease Management; Non-alcoholic Fatty Liver DiseasePsychiatry and Mental healthClinical PsychologyItalyGuidelines; NAFLD; NASHFemaleCardiology and Cardiovascular MedicineSocietiesDelivery of Health CareSudden Infant DeathHumanEating and weight disorders : EWD
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The nutrigenetic influence of the interaction between dietary vitamin E and TXN and COMT gene polymorphisms on waist circumference: a case control st…

2015

Background Abdominal obesity (AO) is a common modifiable risk factor for certain non-communicable diseases associated with enhanced oxidative stress (OS). The objective of this work was to investigate whether the interaction between antioxidant vitamin intake and OS-related polymorphisms modulates gene-associated anthropometry in a Spanish population. Methods A total of 246 subjects with AO, and 492 age and gender matched non-AO subjects were included in the study. Anthropometric, biochemical, and OS parameters, and antioxidant dietary intake data were assessed using validated procedures. DNA from white blood cells was isolated and the genotype of seven polymorphisms from genes involved in …

MaleAntioxidantPolimorphismmedicine.medical_treatment:Chemicals and Drugs::Amino Acids Peptides and Proteins::Proteins::Thioredoxins [Medical Subject Headings]Antioxidantes:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Probability::Risk::Risk Factors [Medical Subject Headings]AntioxidantsVitamin E intakeObesidad abdominalchemistry.chemical_compoundNutrigenomicsThioredoxinsPolymorphism (computer science):Anatomy::Cells::Blood Cells::Leukocytes [Medical Subject Headings]Risk FactorsGenotypeVitamin E:Chemicals and Drugs::Nucleic Acids Nucleotides and Nucleosides::Nucleosides::Deoxyribonucleosides::Deoxyguanosine [Medical Subject Headings]:Chemicals and Drugs::Chemical Actions and Uses::Pharmacologic Actions::Physiological Effects of Drugs::Growth Substances::Micronutrients::Vitamins [Medical Subject Headings]:Phenomena and Processes::Metabolic Phenomena::Metabolism::Oxidative Stress [Medical Subject Headings]Abdominal obesityNutrigenómicaMedicine(all)AnthropometryAge FactorsGeneral MedicineAbdominal obesity:Phenomena and Processes::Physiological Phenomena::Body Constitution::Body Weights and Measures::Body Size::Body Weight::Overweight::Obesity::Obesity Abdominal [Medical Subject Headings]Middle Aged:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Models Statistical::Logistic Models [Medical Subject Headings]Waist circumferenceDietaFemale:Phenomena and Processes::Genetic Phenomena::Genotype [Medical Subject Headings]medicine.symptomFactores de riesgoVitaminAdultmedicine.medical_specialtyGenotypeVitamina ECatechol-O-methyltransferaseBiology:Phenomena and Processes::Physiological Phenomena::Nutritional Physiological Phenomena::Diet [Medical Subject Headings]:Phenomena and Processes::Genetic Phenomena::Genetic Structures::Genome::Genome Components::Genes::Genes Reporter [Medical Subject Headings]Catechol O-Methyltransferase:Chemicals and Drugs::Biological Factors::Pigments Biological::Carotenoids::Retinoids::Vitamin A [Medical Subject Headings]Polymorphism Single NucleotideGeneral Biochemistry Genetics and Molecular BiologySex FactorsInternal medicine:Chemicals and Drugs::Inorganic Chemicals::Oxygen Compounds::Reactive Oxygen Species [Medical Subject Headings]:Chemicals and Drugs::Chemical Actions and Uses::Pharmacologic Actions::Physiological Effects of Drugs::Protective Agents::Antioxidants [Medical Subject Headings]medicinePerímetro abdominal:Phenomena and Processes::Physiological Phenomena::Body Constitution::Body Weights and Measures::Body Size::Waist Circumference [Medical Subject Headings]:Chemicals and Drugs::Heterocyclic Compounds::Heterocyclic Compounds 2-Ring::Benzopyrans::Vitamin E [Medical Subject Headings]HumansObesityPolymorphismThioredoxinAgedCatechol-O-methyl transferaseBiochemistry Genetics and Molecular Biology(all)Vitamin EResearchCase-control studyGenes informadores:Disciplines and Occupations::Natural Science Disciplines::Biological Science Disciplines::Biology::Genetics::Genomics::Nutrigenomics [Medical Subject Headings]DietOxidative StressEndocrinologychemistrySpainOxidative stressCase-Control Studies:Chemicals and Drugs::Enzymes and Coenzymes::Enzymes::Transferases::One-Carbon Group Transferases::Methyltransferases::Catechol O-Methyltransferase [Medical Subject Headings]:Chemicals and Drugs::Nucleic Acids Nucleotides and Nucleosides::Nucleic Acids::DNA [Medical Subject Headings]Genotipo
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Meta-Analysis of the INSIG2 Association with Obesity Including 74,345 Individuals: Does Heterogeneity of Estimates Relate to Study Design?

2009

The INSIG2 rs7566605 polymorphism was identified for obesity (BMI≥30 kg/m2) in one of the first genome-wide association studies, but replications were inconsistent. We collected statistics from 34 studies (n = 74,345), including general population (GP) studies, population-based studies with subjects selected for conditions related to a better health status (‘healthy population’, HP), and obesity studies (OB). We tested five hypotheses to explore potential sources of heterogeneity. The meta-analysis of 27 studies on Caucasian adults (n = 66,213) combining the different study designs did not support overall association of the CC-genotype with obesity, yielding an odds ratio (OR) of 1.05 (p-va…

MaleCancer ResearchobesityLIVERMedizinPROTEINBioinformatics0302 clinical medicineINSIG2GENETICS & HEREDITYPOPULATIONGenetics (clinical)METABOLIC SYNDROME0303 health scienceseducation.field_of_studyINSIG2Intracellular Signaling Peptides and ProteinsUPSTREAMMiddle AgedINSULINResearch DesignMeta-analysisFemaleLife Sciences & BiomedicineMedical GeneticsResearch ArticleEXPRESSIONAdultAdolescentlcsh:QH426-470PopulationPublic Health and EpidemiologyCOMMON GENETIC VARIANTBiologyChildhood obesity03 medical and health sciencesYoung AdultGeneticsmedicineBiochemical Phenomena Metabolism and NutritionHumansObesityeducationMolecular BiologyEcology Evolution Behavior and Systematics030304 developmental biology0604 GeneticsScience & TechnologyPolymorphism GeneticMembrane ProteinsOdds ratioBODY-MASSmedicine.diseaseObesityPOLYMORPHISMlcsh:GeneticsGenetics PopulationMetabolic syndromeBody mass index030217 neurology & neurosurgeryDevelopmental BiologyDemographyGenome-Wide Association StudyPLoS Genetics
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Cut-off points of the visceral adiposity index (VAI) identifying a visceral adipose dysfunction associated with cardiometabolic risk in a Caucasian S…

2011

Abstract Background The Visceral Adiposity Index (VAI) is a sex-specific mathematical index, based on Waist Circumference (WC), Body Mass Index (BMI), triglycerides (TG) and HDL cholesterol (HDL) levels, indirectly expressing visceral adipose function and insulin sensitivity. Our aim was to find the optimal cut-off points of VAI identifying a visceral adipose dysfunction (VAD) associated with cardiometabolic risk in a Caucasian Sicilian population. Methods Medical check-up data of 1,764 Primary Care patients (PC patients) were retrospectively and cross-sectionally examined using a receiver-operating characteristic (ROC) curve to determine appropriate stratified-for-age cut-off of VAI, for t…

MaleCross-sectional studyEndocrinology Diabetes and MetabolismClinical BiochemistrySettore MED/13 - EndocrinologiaEndocrinologyReference ValuesRisk Factorscardiometabolic riskPrevalenceMyocardial infarctionSicilylcsh:RC620-627Aged 80 and overMetabolic Syndromeeducation.field_of_studyMiddle Agedlcsh:Nutritional diseases. Deficiency diseasesCardiovascular DiseasesCardiologyvisceral adipose dynsfunctionFemaleAdultmedicine.medical_specialtyWaistAdolescentPopulationVisceral adiposity index VAI Obesity cardiometabolic risk visceral adipose dynsfunctionClinical nutritionIntra-Abdominal FatWhite PeopleYoung AdultInternal medicineDiabetes mellitusmedicineHumansBody Weights and MeasuresObesitycardiovascular diseaseseducationAgedRetrospective StudiesBiochemistry medicalbusiness.industryResearchBiochemistry (medical)medicine.diseaseVAIEndocrinologyCross-Sectional StudiesDiabetes Mellitus Type 2Metabolic syndromebusinessBody mass indexLipids in Health and Disease
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Differences in Weight Status and Energy-Balance Related Behaviors among Schoolchildren across Europe: The ENERGY-Project

2012

Published version of an article published in the journal: PLoS ONE. Also available from the publisher at: http://dx.doi.org/10.1371/journal.pone.0034742 Background: Current data on the prevalence of overweight and energy-balance behaviors among European children is necessary to inform overweight prevention interventions. Methodology/Principal Findings: A school-based survey among 10–12 year old children was conducted in seven European countries using a standardized protocol. Weight, height, and waist circumference were measured; Engagement in physical activity, sedentary and dietary behaviors, and sleep duration were self-reported. Descriptive analyses were conducted, looking at differences…

MaleGerontologyBody heightEnergy balanceChild Behaviorlcsh:MedicineDETERMINANTSGlobal HealthPediatricsVDP::Medical disciplines: 700::Health sciences: 800::Nutrition: 811Body Mass Index0302 clinical medicineDESIGNSex factorsSurveys and QuestionnairesADOLESCENTSMedicine and Health SciencesPrevalence030212 general & internal medicineChildlcsh:ScienceMultidisciplinaryChild HealthSocioeconomic Aspects of Health3. Good healthEuropeYOUTHOBESITYSLEEP DURATIONEducational StatusMedicine/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemalePublic HealthWaist CircumferenceBehavioral and Social Aspects of HealthResearch ArticleEnergy (esotericism)030209 endocrinology & metabolismMotor ActivityBody weightChildhood obesity03 medical and health sciencesSex FactorsSDG 3 - Good Health and Well-beingmedicineHumansObesityMotor activitySports and Exercise MedicineWeight statusNutritionAnalysis of VarianceOVERWEIGHTPRO CHILDRENbusiness.industryBody Weightlcsh:RFeeding BehaviorOverweightmedicine.diseasePREVENTIONBody HeightDietPHYSICAL-ACTIVITYMultivariate Analysislcsh:QPreventive MedicineVDP::Medical disciplines: 700::Health sciences: 800::Community medicine Social medicine: 801businessDemographyPLoS ONE
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Factors associated with colorectal cancer in the context of the Mediterranean diet: a case-control study

2014

Recent evidence demonstrates that increased adherence to the Mediterranean diet (MD) may prevent colorectal cancer (CRC). The aim of this study was to evaluate the association between health-related characteristics and CRC in the context of the MD. This was a case-control study conducted on a sample of 338 consecutive patients with a first diagnosis of CRC recruited in an urban facility in the city of Catania, southern Italy, and matched with 676 apparently healthy subjects without clinical symptoms or signs of any type of cancer. Data regarding sociodemographic, clinical, and lifestyle characteristics were collected, and adherence to the Mediterranean diet pattern was assessed using the Me…

MaleGerontologyCancer Researchmedicine.medical_specialtySettore MED/09 - Medicina InternaAlcohol DrinkingMediterranean dietColorectal cancerMedicine (miscellaneous)Context (language use)Motor ActivityDiet MediterraneanRisk FactorsSurveys and QuestionnairesInternal medicinemedicineHumansFamily historySettore MED/49 - Scienze Tecniche Dietetiche ApplicateLife StyleAgedNutrition and Dieteticsmediterranean diet colorectal cancer diabetes obesity Sicilybusiness.industrySmokingCase-control studyCancerFeeding BehaviorOdds ratioMiddle Agedmedicine.diseaseObesityHealthy VolunteersLogistic ModelsItalySocioeconomic FactorsOncologyCase-Control StudiesMultivariate AnalysisPatient ComplianceFemaleColorectal Neoplasmsbusiness
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Associations between eating meals, watching TV while eating meals and weight status among children, ages 10–12 years in eight European countries: the…

2012

Background To assess the association of eating meals, and never watching TV while eating meals, with weight status among children, ages 10–12 years across Europe. Methods 7915 children (mean age: 11.5 years) in eight European countries (Belgium, Greece, Hungary, the Netherlands, Norway, Slovenia, Spain and Switzerland) completed a questionnaire at school. Data on meals eaten the day before questionnaire administration and the frequency of eating meals while watching TV were collected. Height and weight of the children were objectively assessed. Multinomial and binary regression analyses were conducted to test associations of eating meals (adjusted for gender and ethnicity) and never watchin…

MaleGerontologyPediatric ObesityTV viewing030309 nutrition & dieteticsCross-sectional studyNever TV at mealseducationEthnic groupMedicine (miscellaneous)Physical Therapy Sports Therapy and RehabilitationClinical nutritionOverweightBody Mass IndexOddsVDP::Medical disciplines: 700::Health sciences: 800::Nutrition: 81103 medical and health sciences0302 clinical medicineSurveys and QuestionnairesHumansMedicine030212 general & internal medicineChildMealsChildrenBreakfast0303 health sciencesMealNutrition and Dieteticsbusiness.industryResearchBody Weightdigestive oral and skin physiologyFeeding BehaviorOverweightmedicine.diseaseObesityEuropeWeight statusCross-Sectional StudiesFemaleTelevisionmedicine.symptomEnergy IntakebusinessBody mass indexDemographyInternational Journal of Behavioral Nutrition and Physical Activity
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