Search results for "Metabolic risk factors"

showing 10 items of 15 documents

Obesity related changes in cardiac structure and function: role of blood pressure and metabolic abnormalities.

2019

BACKGROUND: It has been reported that changes in cardiac structure and ventricular function associated with obesity have to be attributable to hemodynamic and non-hemodynamic alterations. Accordingly, the aim of this was to evaluate left ventricular hypertrophy (LVH) prevalence and its effect on left ventricular systolic and diastolic function in a cohort of obese patients. MATERIALS AND METHODS: LV internal diameter (LVID), left ventricular mass (LVM) and LVM/height2.7(LVMI), relative wall thickness (RWT), LV ejection fraction (LVEF), E/A ratio, isovolumic relaxation time, deceleration time of E velocity by echocardiography and pulsed-wave Doppler and total circulating adiponectin (ADPN) b…

Malemedicine.medical_specialtySettore MED/09 - Medicina InternaHeart VentriclesHemodynamics030204 cardiovascular system & hematologyLeft ventricular hypertrophy03 medical and health sciencesVentricular Dysfunction Left0302 clinical medicineWaist–hip ratioobesity cardiac structureInternal medicinemedicineHumansCardiac structure030212 general & internal medicineObesityPhenomicsskin and connective tissue diseasesCorrelation of DataEchocardiography Doppler PulsedAdiponectinbusiness.industryCardiometabolic Risk FactorsStroke VolumeGeneral MedicineOrgan SizeMiddle Agedmedicine.diseaseObesityBlood pressureItalyEchocardiographycardiovascular systemCardiologyFemaleHypertrophy Left Ventricularsense organsAdiponectinCardiology and Cardiovascular MedicinebusinessFunction (biology)Acta cardiologica
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Longitudinal associations of physical activity and sedentary time with cardiometabolic risk factors in children

2018

BACKGROUND There are few prospective studies on the associations of changes in objectively measured vigorous physical activity (VPA∆ ), moderate-to-vigorous physical activity (MVPA∆ ), light physical activity (LPA∆ ), and sedentary time (ST∆ ) with changes in cardiometabolic risk factors (∆ ) in children. We therefore investigated these relationships among children. METHODS The participants were a population sample of 258 children aged 6-8 years followed for 2 years. We assessed PA and ST by a combined heart rate and movement sensor; computed continuous age- and sex-adjusted z-scores for waist circumference, blood pressure, and fasting insulin, glucose, triglycerides, and high-density lipop…

Blood GlucoseMaleCross-sectional studyphysical activityBlood Pressureliikunta030204 cardiovascular system & hematologyBody fat percentagechemistry.chemical_compound0302 clinical medicineHeart RateRisk FactorsInsulinOrthopedics and Sports MedicineLongitudinal StudiesProspective StudiesChildta315Prospective cohort studyFinlandAnthropometryriskitekijätLipidsCardiovascular DiseasesFemalelipids (amino acids peptides and proteins)Waist Circumferencefyysinen aktiivisuusmedicine.medical_specialtyWaistPhysical Therapy Sports Therapy and Rehabilitationpitkittäistutkimusta3111Article03 medical and health sciencesMetabolic DiseaseschildrenInternal medicineHeart ratemedicineHumansExerciselapsetCholesterolbusiness.industryterveydentila030229 sport sciencesAnthropometrycardiometabolic risk factorsCross-Sectional StudiesBlood pressurechemistrySedentary BehaviorbusinessScandinavian Journal of Medicine & Science in Sports
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Longitudinal associations of physical activity and sedentary time with cardiometabolic risk factors in children

2019

Background: There are few prospective studies on the associations of changes in objectively measured vigorous physical activity (VPA∆), moderate‐to‐vigorous physical activity (MVPA∆), light physical activity (LPA∆), and sedentary time (ST∆) with changes in cardiometabolic risk factors (∆) in children. We therefore investigated these relationships among children. Methods: The participants were a population sample of 258 children aged 6‐8 years followed for 2 years. We assessed PA and ST by a combined heart rate and movement sensor; computed continuous age‐ and sex‐adjusted z‐scores for waist circumference, blood pressure, and fasting insulin, glucose, triglycerides, and high‐density lipoprot…

childrenterveydentilaphysical activitylipids (amino acids peptides and proteins)riskitekijätpitkittäistutkimusliikuntacardiometabolic risk factorslapsetfyysinen aktiivisuus
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Blood cell transcript levels in 5-year-old children as potential markers of breastfeeding effects in those small for gestational age at birth

2019

BackgroundNutrition of the newborn during the early postnatal period seems to be of capital importance and there is clinical evidence showing the protective effect of breastfeeding compared with formula feeding on childhood obesity and its comorbidities. Infants born small for gestation age may be more sensitive to the type of feeding during lactation. Here, we aimed to analyze the impact of birth weight and the type of infant feeding on the expression levels in peripheral blood cells of selected candidate genes involved in energy homeostasis in 5-year-old children, to find out potential early biomarkers of metabolic programming effects during this period of metabolic plasticity.MethodsFort…

Male0301 basic medicinehumanosBreastfeedingPhysiologylcsh:MedicineSangBlood Pressureregulación de la expresión génicalactancia materna0302 clinical medicineLactationBirth Weightcélulas sanguíneasGeneral MedicineARNmedicine.anatomical_structureBreast FeedingChild Preschool030220 oncology & carcinogenesisInfant Small for Gestational AgeInfant formulaGestationFemaleInfantspresión sanguíneaBreast milkSystoleBirth weightBreast milkGeneral Biochemistry Genetics and Molecular BiologyChildhood obesity03 medical and health sciencessístoleMetabolic programmingmedicineHumansRNA Messengerpeso al nacerlactanteBlood Cellsbusiness.industryResearchlcsh:RInfant NewbornInfantmedicine.diseaseCardiometabolic risk factors030104 developmental biologyInfant formulaGene Expression RegulationSmall for gestational ageRNAbusinessBiomarkers
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The impact of type of dietary protein, animal versus vegetable, in modifying cardiometabolic risk factors: A position paper from the International Li…

2020

Proteins play a crucial role in metabolism, in maintaining fluid and acid-base balance and antibody synthesis. Dietary proteins are important nutrients and are classified into: 1) animal proteins (meat, fish, poultry, eggs and dairy), and, 2) plant proteins (legumes, nuts and soy). Dietary modification is one of the most important lifestyle changes that has been shown to significantly decrease the risk of cardiovascular (CV) disease (CVD) by attenuating related risk factors. The CVD burden is reduced by optimum diet through replacement of unprocessed meat with low saturated fat, animal proteins and plant proteins. In view of the available evidence, it has become acceptable to emphasize the …

AdultMaleDietary proteinWeight lossCardiometabolic Risk Factorsfood and beveragesMiddle AgedRecommended Dietary AllowancesCardiovascular diseasePlant Proteins DietaryCardiovascular disease Cholesterol Dietary protein Metabolic syndrome Weight loss Adult Aged Animal Proteins Dietary Cardiometabolic Risk Factors Cardiovascular Diseases Diet Healthy Expert Testimony Female Humans Male Middle Aged Plant Proteins Dietary Young Adult Recommended Dietary AllowancesMetabolic syndromeYoung AdultCholesterolCardiovascular DiseasesAnimal Proteins DietaryHumansFemaleDiet HealthyExpert TestimonyAged
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Cardiorespiratory Fitness, Physical Activity, and Insulin Resistance in Children

2020

Purpose Few studies have investigated the independent and joint associations of cardiorespiratory fitness (CRF) and body fat percentage (BF%) with insulin resistance in children. We investigated the independent and combined associations of CRF and BF% with fasting glycemia and insulin resistance and their interactions with physical activity (PA) and sedentary time among 452 children age 6 to 8 yr. Methods We assessed CRF with a maximal cycle ergometer exercise test and used allometrically scaled maximal power output (Wmax) for lean body mass (LM) and body mass (BM) as measures of CRF. The BF% and LM were measured by dual-energy X-ray absorptiometry, fasting glycemia by fasting plasma glucos…

Blood GlucoseMaleobesitymedicine.medical_treatmentliikuntaBody fat percentage0302 clinical medicineHeart RateBody Fat DistributionHomeostasisInsulinOrthopedics and Sports MedicineChildyouthdiabetesexerciseCardiorespiratory FitnessHomeostatic model assessmentFemaleperformancefyysinen aktiivisuusinsulinmedicine.medical_specialtylapset (ikäryhmät)Physical Therapy Sports Therapy and RehabilitationArticle03 medical and health sciencesInsulin resistanceInternal medicineDiabetes mellitusmedicineinsulin sensitivityHumansExercisekehonkoostumusbusiness.industryInsulinCardiometabolic Risk FactorsCardiorespiratory fitness030229 sport sciencesinsuliiniresistenssimedicine.diseaseObesityEndocrinologyLean body massExercise TestInsulin ResistanceSedentary BehaviorbusinessEnergy Metabolism
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Associations of cardiometabolic risk factors with heart rate variability in 6‐ to 8‐year‐old children: The PANIC Study

2019

BACKGROUND Associations of cardiometabolic risk factors with heart rate variability (HRV) in children are unclear. We examined associations of cardiometabolic risk score (CRS) and individual cardiometabolic risk factors with HRV variables in 6- to 8-year-olds. METHODS The participants were a population-based sample of 443 children participating in baseline measurements of the Physical Activity and Nutrition in Children trial. Cardiometabolic risk factors included waist circumference (WC), insulin, glucose, triglycerides, HDL cholesterol, systolic blood pressure (SBP), and diastolic blood pressure (DBP). CRS was calculated as WC + insulin + glucose + triglycerides - HDL cholesterol + the mea…

Blood GlucoseMalemedicine.medical_specialtyWaistEndocrinology Diabetes and Metabolismmedicine.medical_treatmentPopulationBlood Pressurechemistry.chemical_compoundHeart RateInternal medicineotorhinolaryngologic diseasesInternal MedicinemedicineHumansInsulinHeart rate variabilityChildeducationeducation.field_of_studyCholesterolbusiness.industryInsulinCardiometabolic Risk FactorsCardiorespiratory fitnessmedicine.diseaseCross-Sectional StudiesBlood pressurechemistryPediatrics Perinatology and Child HealthCardiologyFemaleMetabolic syndromebusinesscirculatory and respiratory physiologyPediatric Diabetes
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Novel loci for childhood body mass index and shared heritability with adult cardiometabolic traits

2020

The genetic background of childhood body mass index (BMI), and the extent to which the well-known associations of childhood BMI with adult diseases are explained by shared genetic factors, are largely unknown. We performed a genome-wide association study meta-analysis of BMI in 61,111 children aged between 2 and 10 years. Twenty-five independent loci reached genome-wide significance in the combined discovery and replication analyses. Two of these, located nearNEDD4LandSLC45A3, have not previously been reported in relation to either childhood or adult BMI. Positive genetic correlations of childhood BMI with birth weight and adult BMI, waist-to-hip ratio, diastolic blood pressure and type 2 d…

MaleGenetic-variationNedd4 Ubiquitin Protein LigasesPooled AnalysisBlood Pressure0302 clinical medicineHuman geneticsMendelian RandomizationYoung adultChildhealth care economics and organizationsBody mass indexAdiposityGenetics & Heredity0303 health sciencesStatistics1184 Genetics developmental biology physiologyGenomicsadulto3. Good healthCardiovascular DiseasesChild PreschoolPhysical SciencesMenarchegenetic-variationpresión sanguíneaMonosaccharide Transport ProteinsGenetic locieducationenfermedades cardiovascularesProstate-specific AntigenGenetic correlation03 medical and health sciencesSDG 3 - Good Health and Well-beingDiabetes MellitusGeneticsHumansprostate-specific antigenStatistical MethodsMolecular BiologyEcology Evolution Behavior and Systematicschildhood0604 Genetics[SDV.GEN]Life Sciences [q-bio]/GeneticsScience & TechnologyEarly Growth Genetics ConsortiumBiology and Life SciencesComputational Biologynutritional and metabolic diseasesSingle nucleotide polymorphismsMendelian Randomization AnalysisBiological TissueDiabetes Mellitus Type 2estudio de asociación genómica completagenetic factorsmendelian randomizationanálisis de la aleatorización mendelianaproteínas de transporte de monosacáridosBody mass index030217 neurology & neurosurgeryMathematicsDemographyDevelopmental BiologyCardiovascular RiskCancer ResearchobesityPhysiologyhumanosadolescenteOverweightQH426-470Genome-wide association studiesWaist–hip ratioMathematical and Statistical TechniquesMedicine and Health Sciencesbody mass index (BMI)Genetics of diseaseGenetics (clinical)2. Zero hungeradiposityMetaanalysisPhysiological ParametersConnective Tissue/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemalemedicine.symptomAnatomypooled analysisLife Sciences & BiomedicineResearch ArticleAdultcardiovascular riskAdolescentBirth weightmenarquiaAdipose tissueBiology3121 Internal medicineResearch and Analysis MethodsmedicineoverweightGenetic Predisposition to DiseaseObesity030304 developmental biologyMenarcheWaist-Hip Ratioíndice de masa corporalBody WeightCardiometabolic Risk Factorspredisposición genética a la enfermedadHeritabilityOverweightGenome Analysisyoung-adultsGenome-wide Associationíndice cintura-caderaYoung-adultsgenome-wide associationGenome-Wide Association StudyPLoS genetics
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Innovations in Infant Feeding: Future Challenges and Opportunities in Obesity and Cardiometabolic Disease

2020

The field of nutrition in early life, as an effective tool to prevent and treat chronic diseases, has attracted a large amount of interest over recent years. The vital roles of food products and nutrients on the body’s molecular mechanisms have been demonstrated. The knowledge of the mechanisms and the possibility of controlling them via what we eat has opened up the field of precision nutrition, which aims to set dietary strategies in order to improve health with the greatest effectiveness. However, this objective is achieved only if the genetic profile of individuals and their living conditions are also considered. The relevance of this topic is strengthened considering the importance of …

obesityPediatric ObesityInfants AlimentacióRevieweating behaviorGenetic profile0302 clinical medicineNutrigenomicsPregnancy030212 general & internal medicinePrecision MedicineChildprecision nutritionPediatriaNutrition and DieteticsNutrigenomicsCardiovascular DiseasesChild PreschoolObesitatFemaleDiet HealthyChild Nutritional Physiological Phenomenalcsh:Nutrition. Foods and food supplypediatricsAdolescentNutritional Statuslcsh:TX341-641030209 endocrinology & metabolismChildhood obesityNutrigenetics03 medical and health sciencesEnvironmental healthmedicinemicrobiotaHumansMetabolomicsGenetic Predisposition to DiseaseInfant feedingnutrigeneticsbusiness.industryInfant NewbornInfantFeeding Behaviormedicine.diseaseCardiometabolic diseaseObesitycardiometabolic risk factorsGastrointestinal MicrobiomeFood productsAvaluació del riscbusinessFood ScienceNutrients
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Polygenic Score for Physical Activity Is Associated with Multiple Common Diseases

2021

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MaleEpidemiologyPhysical fitnessType 2 diabetesDiseaseLogistic regressionTYPE 2 DIABETESOrthopedics and Sports Medicine315 Sport and fitness sciencesPREDICTORSChildkohorttitutkimusFinlandAged 80 and oversairastavuusHERITABILITYGenetic PleiotropyriskitekijätMiddle AgedCardiovascular DiseasesChild PreschoolCohortComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFemaleSMOKINGgeneettiset tekijätfyysinen aktiivisuusAdultGenetic Markerskuolleisuusmedicine.medical_specialtyAdolescentGenotypePhysical Therapy Sports Therapy and RehabilitationEXERCISEpitkittäistutkimusLower riskRisk AssessmentYoung AdultMetabolic DiseasesInternal medicineClinical Decision RulesBENEFITSmedicineHumansAgedbusiness.industryRISK SCORESCardiometabolic Risk FactorsInfantOdds ratiomedicine.diseaseGENEBODY-MASS INDEXLogistic ModelsCase-Control StudiesLinear Modelssydän- ja verisuonitauditbusinessBody mass indexGenome-Wide Association Study
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