Search results for "BES"

showing 10 items of 3692 documents

Early life body mass trajectories and mortality in older age: Findings from the Helsinki Birth Cohort Study

2014

Overweight and obesity in childhood have been linked to an increased risk of adult mortality, but evidence is still scarce.We identified trajectories of body mass index (BMI) development in early life and investigated their mortality risk. Data come from the Helsinki Birth Cohort Study, in which 4943 individuals, born 1934-1944, had serial measures of weight and height from birth to 11 years extracted from health care records, weight and height data in adulthood, and register-based mortality data for 2000-2010.Three early BMI trajectories (increasing, average, and average-to-low for men and increasing, average, and low-to-high BMI for women) were identified. Women with an increasing or low-…

AdultMaleRiskPediatricsmedicine.medical_specialtyAgingDatabases Factualbody mass indexOverweightChildhood obesityImpaired glucose toleranceCohort StudiesBreast cancerCause of DeathNeoplasmsmedicineHumansEarly childhoodChildFinlandAgedbusiness.industryBody WeightAge FactorsInfant NewbornBayes Theoremta3141General MedicineMiddle AgedOverweightgrowth mixture modelsmedicine.diseaseObesitymortalitydevelopmental origins of adult health and diseaseChild PreschoolFemalelife-course epidemiologymedicine.symptomBirth cohortbusinessBody mass indexbirth sizeAnnals of Medicine
researchProduct

Is sense of coherence a predictor of lifestyle changes in subjects at risk for type 2 diabetes?

2015

Objective: To determine whether the sense of coherence (SOC) could predict the outcome of an 18-month lifestyle intervention program for subjects at risk of type 2 diabetes. Methods: Subjects at high risk of type 2 diabetes mellitus were recruited to a low-intensity lifestyle intervention program by their general practitioners. Weight reduction ≥5% and improvement in exercise capacity of ≥10% from baseline to follow-up indicated a clinically significant lifestyle change. SOC was measured using the 13-item SOC questionnaire. Results: The study involved 213 subjects with a mean body mass index of 37 (SD ± 6). Complete follow-up data were obtained for 131 (62%). Twenty-six participants had cli…

AdultMaleRiskQuality of lifemedicine.medical_specialtyType 2 diabetes:Midical sciences: 700::Health sciences: 800::Community medicine social medicine: 801 [VDP]:Medisinske fag: 700::Helsefag: 800::Samfunnsmedisin sosialmedisin: 801 [VDP]Quality of lifeWeight lossBehavior TherapySurveys and QuestionnairesWeight LossType 2 diabetes mellitusMedicineHumansVDP::Medisinske fag: 700::Helsefag: 800::Samfunnsmedisin sosialmedisin: 801ObesityLife StyleVDP::Midical sciences: 700::Health sciences: 800::Community medicine social medicine: 801Exercise Tolerancebusiness.industryPreventionPublic Health Environmental and Occupational HealthType 2 Diabetes MellitusGeneral MedicineOdds ratioMiddle Agedmedicine.diseaseLifestyleObesityConfidence intervalTreatment OutcomeDiabetes Mellitus Type 2Sense of coherencePhysical therapyFemalesense organsmedicine.symptombusinessBody mass indexFollow-Up StudiesPublic Health
researchProduct

Body composition assessment for the definition of cardiometabolic risk.

2013

Obesity is associated with a major prevalence of cardiovascular risk factors and high risk of cardiovascular events and contributes to the increase in cardiovascular morbidity and mortality worldwide. Beyond the fat mass per se, the pattern of fat distribution has a profound influence on cardiometabolic risk. The increase in abdominal adipose tissue confers an independent risk, while the amount of gluteofemoral body fat is thought to be protective. Changes in the capacity of different depots to store and release fatty acids and to produce adipocytokines are important determinants of fat distribution and its metabolic consequences. Because of the complexity of the assessment of body fat with…

AdultMaleRiskWaist-Hip RatioAbdominal FatMathematical ConceptsIntra-Abdominal FatMiddle AgedMagnetic Resonance ImagingBody HeightBody Mass IndexBody composition assessmentSettore MED/13 - EndocrinologiaRadiographyROC CurveCardiovascular DiseasesBody Fat DistributionHumansFemaleObesityWaist CircumferenceAged
researchProduct

Liking for fat is associated with sociodemographic, psychological, lifestyle and health characteristics

2014

Sensory liking influences dietary behaviour, but little is known about specifically associated individual profiles. The aim of the present study was to investigate the associations between liking for fat-and-salt and fat-and-sweet sensations and sociodemographic, economic, psychological, lifestyle and health characteristics in a large sample. Individual characteristics and liking scores were collected by a questionnaire among 37 181 French adults. Liking scores were constructed using a validated preference questionnaire. Multinomial logistic regression models were used to assess the associations between liking levels and individual characteristics. In both sexes, subjects belonging to low-l…

AdultMaleRisklikingAdolescent[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionhabitude alimentairesociodemographic factorsMedicine (miscellaneous)enquêteHyperphagiapsychological factorsBody Mass IndexCohort StudiesFood PreferencesYoung AdultSurveys and Questionnaires[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathologyfatSensationHumansObesitysantéLife StyleAgedMultinomial logistic regressionAged 80 and overInternetNutrition and DieteticssociologieCognitionMiddle AgedDietary FatssociodémographiePreferenceLarge sampleobésitéSocioeconomic FactorsFemaleObese subjectsFrancedietary determinantsPsychology[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologyFollow-Up StudiesClinical psychology
researchProduct

Childhood Environmental and Genetic Predictors of Adulthood Obesity: The Cardiovascular Risk in Young Finns Study

2011

Obesity from childhood to adulthood is associated with adverse health later in life. Increased youth BMI is a risk factor for later obesity, but it is unknown whether identification of other risk factors, including recently discovered genetic markers, would help to identify children at risk of developing adult obesity.Our objective was to examine the childhood environmental and genetic predictors of adult obesity.We followed 2119 individuals of the Cardiovascular Risk in Young Finns Study for up to 27 yr since baseline (1980, age 3-18 yr).We evaluated adult obesity [body mass index (BMI) ≥ 30 kg/m(2)].The independent predictors (P0.05) of adult obesity included childhood BMI, C-reactive pro…

AdultMaleRiskmedicine.medical_specialtyAdolescentEndocrinology Diabetes and MetabolismClinical BiochemistryContext (language use)030204 cardiovascular system & hematologyFamily incomeSocial EnvironmentBiochemistry03 medical and health sciences0302 clinical medicineEndocrinologyInternal medicinemedicineHumans030212 general & internal medicineLongitudinal StudiesObesityRisk factorChildFinland2. Zero hungerParental obesityJCEM Online: Advances in Geneticsbusiness.industryBiochemistry (medical)Middle Agedmedicine.diseaseObesity3. Good healthEndocrinologyCardiovascular DiseasesChild PreschoolBody CompositionFemaleMetabolic syndromebusinessRisk assessmentBody mass indexFollow-Up StudiesGenome-Wide Association Study
researchProduct

A new risk score to assess atrial fibrillation risk in hypertensive patients (ESCARVAL-RISK Project.

2020

AbstractThis study aimed to assess atrial fibrillation (AF) incidence and predictive factors in hypertensive patients and to formulate an AF risk assessment score that can be used to identify the patients most likely to develop AF. This was a cohort study of patients recruited in primary healthcare centers. Patients aged 40 years or older with hypertension, free of AF and with no previous cardiovascular events were included. Patients attended annual visits according to clinical practice until the end of study or onset of AF. The association between AF incidence and explanatory variables (age, sex, body mass index, medical history and other) was analyzed. Finally, 12,206 patients were includ…

AdultMaleRiskmedicine.medical_specialtyTime FactorsCardiologylcsh:Medicine030204 cardiovascular system & hematologyRisk AssessmentArticleCohort Studies03 medical and health sciencesSex Factors0302 clinical medicineInternal medicineAtrial FibrillationmedicineHumansObesity030212 general & internal medicinelcsh:ScienceAgedHeart FailureMultidisciplinaryFramingham Risk Scorebusiness.industryIncidenceIncidence (epidemiology)lcsh:RHazard ratioAge FactorsAtrial fibrillationMiddle Agedmedicine.diseaseConfidence intervalRisk factorsResearch DesignHypertensionFemalelcsh:QbusinessRisk assessmentBody mass indexFollow-Up StudiesForecastingCohort study
researchProduct

Effect of Cardiorespiratory Fitness on Risk of Sudden Cardiac Death in Overweight/Obese Men Aged 42 to 60 Years

2018

The purpose of this study was to examine the subject and combined associations of cardiorespiratory fitness (fitness) and body mass index (BMI) with the risk of sudden cardiac death (SCD) in middle-aged men. This prospective study was based on a population sample of 2,357 men aged 42 to 60 years, who were followed up in the Kuopio Ischemic Heart Disease cohort study. Fitness was directly measured by peak oxygen uptake (VO2peak) during progressive exercise testing to volitional fatigue. Participants were divided into 4 groups (fit-normal weight, unfit-normal weight, fit-overweight/obese, and unfit-overweight/obese) based on the median values of fitness and BMI. A total of 253 (10.7%) SCDs oc…

AdultMaleRiskmedicine.medical_specialtyobesityPopulationsudden deathheart failurecardiac arrest030204 cardiovascular system & hematologyOverweightLower risksydämen vajaatoimintasudden cardiac deathBody Mass Index03 medical and health sciences0302 clinical medicineSurveys and QuestionnairesInternal medicineFitnessHumansMedicineProspective Studies030212 general & internal medicineäkkikuolemaeducationFinlandeducation.field_of_studycardiorespiratory fitnessbusiness.industryHazard ratioVO2 maxCardiorespiratory fitnessta3141ta3142Middle AgedOverweightfatnessDeath Sudden CardiacExercise TestCardiologylihavuussydämenpysähdysmedicine.symptomCardiology and Cardiovascular MedicinebusinessBody mass indexCohort studyAmerican Journal of Cardiology
researchProduct

Rising rural body-mass index is the main driver of the global obesity epidemic in adults.

2019

Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities1,2. This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity3,4,5,6. Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55% of the global rise in mean BMI from 1985 to 2017—and more than 80% in some low- and middle-income regions—w…

AdultMaleRural Populationobesityalueelliset erotAdolescentUrban PopulationEpidemiologyGeographic MappingNutritional Statusbody mass indexRural HealthBody Mass IndexYoung AdultSex FactorsmaaseutuväestöHumansoverweightObesityrural populationddc:610painoindeksiDeveloping CountriesAgedAged 80 and overDeveloped CountriesAge FactorsUrban HealthPublic Health Global Health Social Medicine and EpidemiologyylipainoriskitekijätMiddle AgedFolkhälsovetenskap global hälsa socialmedicin och epidemiologiRisk factorslihavuusFemaleDiet Healthy610 Medizin und Gesundheitregional differences
researchProduct

How does the quality of surveys for nutrient intake adequacy assessment compare across Europe? A scoring system to rate the quality of data in such s…

2009

Research was conducted within the EURopean micronutrient RECommendations Aligned (EURRECA) Network of Excellence, to find the best practice in assessing nutrient intakes. Objectives include: to search for and use data on individual nutrient intake adequacy (NIA) assessment collected in twenty-eight European countries and the four European Free Trade Association countries; to design and test innovative tools for data quality analysis. The information was obtained using the method described by Blanquer et al. in the present issue. The best-practice criteria were devised to select the most appropriate survey in each country. Then a survey quality scoring system was developed in consultation wi…

AdultMaleScoring systemAdolescent030309 nutrition & dieteticsmedia_common.quotation_subjectBest practiceNutrient intake adequacyMedicine (miscellaneous)Best practice030209 endocrinology & metabolismAssessment methodsEatingYoung Adult03 medical and health sciences0302 clinical medicineSurveys and QuestionnairesEnvironmental healthHumansQuality (business)MicronutrientsChildAgedmedia_common2. Zero hunger0303 health sciencesNutrition and DieteticsData collectionbusiness.industryEnvironmental resource managementNutritional RequirementsInformation qualityMiddle AgedEuropean survey qualityNutrition SurveysTest (assessment)EuropeNutrition AssessmentGeographyWork (electrical)Research DesignChild PreschoolData qualityFemalebusinessBritish Journal of Nutrition
researchProduct

Obesity, hypertension and atherosclerosis

1993

Hypertension and obesity are associated with an increased risk of clinical cardiovascular complications due to atherosclerosis. Moreover has been reported that hypertension may predispose to atheroma development. In the present review some common aspects to hypertension and atherosclerosis including smooth muscle cell proliferation, endothelial damage and intervention of growth factors have been analyzed. Additional data have to be provided to explain if the connections between hypertension and atherosclerosis could be considered two effects with one unknown cause. In addition some aspects related to obesity and atherosclerosis have been dissected. In particular we have reported our results…

AdultMaleSettore MED/09 - Medicina InternaArteriosclerosisMyocardial InfarctionLipidsSettore MED/45 - Scienze Infermieristiche Generali Cliniche E PediatricheSettore MED/11 - Malattie Dell'Apparato CardiovascolareBlood Coagulation FactorsObesity hypertension atherosclerosisRisk FactorsHypertensionPrevalenceHumansFemaleObesity
researchProduct