Search results for "Body-mass index"

showing 10 items of 35 documents

Is quality of life different between diabetic and non-diabetic people? The importance of cardiovascular risks.

2017

BackgroundTo analyse and compare the impact of cardiovascular risk factors and disease on health-related quality of life (HRQoL) in people with and without diabetes living in the community.MethodsWe used data of 1,905 people with diabetes and 19,031 people without diabetes from the last Spanish National Health Survey (years 2011 +/- 2012). The HRQoL instrument used was the EuroQol 5D-5L, based on time trade-off scores. Matching methods were used to assess any differences in the HRQoL in people with and without diabetes with the same characteristics (age, gender, education level, and healthy lifestyle), according to cardiovascular risk factors and diseases. Disparities were also analysed for…

GerontologyMaleEuropean PeopleActivities of daily livingSpanish PeoplePhysiologylcsh:MedicineEXPECTANCYDiseaseCardiovascular MedicineSurveysEndocrinology0302 clinical medicineQuality of lifeRisk FactorsMedicine and Health SciencesEthnicitiesMedicine030212 general & internal medicinelcsh:ScienceHispanic PeopleDepression (differential diagnoses)Multidisciplinary030503 health policy & servicesMiddle AgedhumanitiesPhysiological ParametersNeurologySINGLEResearch DesignCardiovascular DiseasesFemaleHEALTH0305 other medical scienceResearch ArticleEndocrine DisordersResearch and Analysis Methods03 medical and health sciencesDiabetes mellitusDiabetes MellitusHumansObesityRisk factorOLDERSurvey Researchbusiness.industryBody Weightlcsh:RHealth Risk AnalysisBiology and Life Sciencesmedicine.diseaseHealth SurveysObesityNeuropathyHealth CareBODY-MASS INDEXMetabolic DisordersCase-Control StudiesPeople and PlacesQuality of LifePopulation Groupingslcsh:QbusinessBody mass indexCOSTS
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The impact of maternal weight in pregnancy on glucose metabolism in non-diabetic offspring in late adulthood

2019

Aims: We aimed to examine the association between maternal adiposity and glucose metabolism in adult offspring without diabetes, simultaneous taking offspring own adiposity into account. Methods: This longitudinal birth cohort study (Helsinki Birth Cohort Study) included 1,440 non-diabetic subjects examined at a mean age of 62 years. Subjects were divided into quartiles according to maternal body mass index (BMI). The impact of maternal BMI on offspring body composition was also studied. Results: There were no differences in fasting glucose between the groups. In men, maternal BMI was inversely associated with mean 2-hour glucose concentration after a 75 g oral glucose tolerance test (p <0.…

Blood GlucoseMaleEndocrinology Diabetes and MetabolismCHILDHOODPhysiologyraskausOverweightCohort Studies0302 clinical medicineEndocrinologyPregnancyMedicineMass indexLongitudinal StudiesMUSCLE MASS030212 general & internal medicineaineenvaihduntaRISK2. Zero hungerGlucose metabolismINSULIN-RESISTANCEylipainoGeneral MedicineInsulin sensitivityäiditGestational Weight Gainmaternal obesityOBESITYAdult ChildrenFemaleHEALTHmedicine.symptomAdultOffspringglucose metabolismOffspring health030209 endocrinology & metabolismBMI03 medical and health sciencesaineenvaihduntahäiriötInsulin resistanceMaternal obesityDiabetes mellitusInternal MedicineHumansinsulin sensitivitylapset (perheenjäsenet)offspring healthPregnancyOVERWEIGHTbusiness.industrynutritional and metabolic diseasesinsuliiniresistenssimedicine.diseaseBODY-MASS INDEXPANCREATIC BETA-CELL3121 General medicine internal medicine and other clinical medicineLean body masslihavuusGAINbusinessBody mass indexDiabetes Research and Clinical Practice
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Association of Gestational Weight Gain With Adverse Maternal and Infant Outcomes

2019

Importance: Both low and high gestational weight gain have been associated with adverse maternal and infant outcomes, but optimal gestational weight gain remains uncertain and not well defined for all prepregnancy weight ranges. Objectives: To examine the association of ranges of gestational weight gain with risk of adverse maternal and infant outcomes and estimate optimal gestational weight gain ranges across prepregnancy body mass index categories. Design, setting, and participants: Individual participant-level meta-analysis using data from 196 670 participants within 25 cohort studies from Europe and North America (main study sample). Optimal gestational weight gain ranges were estimated…

Gestational hypertensionNutrition and Disease01 natural sciencesBody Mass Index0302 clinical medicinePregnancyVoeding en ZiekteMedicineBirth Weight030212 general & internal medicineObstetricsDiabetesPregnancy OutcomeGestational ageGeneral MedicineCesarean Section/statistics & numerical dataAdult; Birth Weight; Cesarean Section; Diabetes Gestational; Female; Humans; Hypertension Pregnancy-Induced; Infant Newborn; Obesity; Pregnancy; Premature Birth; Body Mass Index; Gestational Weight Gain; Pregnancy Complications; Pregnancy OutcomeGestational Weight GainGestational diabetesPremature birthGestationalHypertensionPremature BirthFemalemedicine.symptomUnderweightPREGNANT-WOMENAdultmedicine.medical_specialtyBirth weightPregnancy-InducedHealthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18]03 medical and health sciencesAll institutes and research themes of the Radboud University Medical CenterLife ScienceHumansObesity0101 mathematicsbusiness.industryCesarean Section010102 general mathematicsInfant NewbornInfantHypertension Pregnancy-Inducedmedicine.diseaseNewbornReconstructive and regenerative medicine Radboud Institute for Health Sciences [Radboudumc 10]BODY-MASS INDEXPregnancy ComplicationsDiabetes GestationalbusinessBody mass indexWeight gain
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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 cities(.)(1,2) This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity(3-6). 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…

MaleRural PopulationobesityObesity body mass indexSettore MED/09 - Medicina InternaLetterUrban PopulationEpidemiology[SDV]Life Sciences [q-bio]humanosbody-mass indexadolescenteGeographic MappingSex Factorpaíses desarrolladosRural Health//purl.org/pe-repo/ocde/ford#3.03.09 [https]systematic analysisBody Mass Indexpaíses en desarrollo80 and overrisk factorsAge Factorphysical-activitymediana edadmapeo geográficoAged 80 and overanciano//purl.org/pe-repo/ocde/ford#3.02.18 [https]dietaAge FactorshealthadultoMiddle AgedMultidisciplinary Sciencesadulto joven[SDV] Life Sciences [q-bio]estado nutricionalnutritionScience & Technology - Other TopicsNUTRITIONFemaleHEALTHpooled analysisDiet Healthyworldwide trendsHumanDeveloped CountrieAdultAdolescent//purl.org/pe-repo/ocde/ford#3.03.04 [https]FOOD SYSTEMSocio-culturaleNutritional StatusURBANAdolescent; Adult; Age Factors; Aged; Aged 80 and over; Developed Countries; Developing Countries; Diet Healthy; Female; Geographic Mapping; Humans; Male; Middle Aged; Obesity; Rural Health; Rural Population; Sex Factors; Urban Health; Urban Population; Young Adult; Body Mass Index; Nutritional StatusPOOLED ANALYSISDeveloping CountrieYoung AdultSex FactorsMIDDLE-INCOME COUNTRIESSYSTEMATIC ANALYSISHumansUrban rural Obesity Body-Mass-IndexObesityobesidadDeveloping CountriesAgedMiddle-income countries; obesity; physical-activity; systematic analysis; worldwide trends; pooled analysis; food system; urban; health; nutrition; weightHealthyScience & TechnologyMiddle-income countriesDeveloped Countriesíndice de masa corporalUrban HealthweightDietPHYSICAL-ACTIVITYWORLDWIDE TRENDSRisk factors[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieWEIGHTfood systemurban
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A healthy Nordic diet and physical performance in old age : findings from the longitudinal Helsinki Birth Cohort Study

2016

AbstractEpidemiological studies have shown that a number of nutrients are associated with better physical performance. However, little is still known about the role of the whole diet, particularly a healthy Nordic diet, in relation to physical performance. Therefore, we examined whether a healthy Nordic diet was associated with measures of physical performance 10 years later. We studied 1072 participants from the Helsinki Birth Cohort Study. Participants’ diet was assessed using a validated 128-item FFQ at the mean age of 61 years, and a priori-defined Nordic diet score (NDS) was calculated. The score included Nordic fruits and berries, vegetables, cereals, PUFA:SFA and trans-fatty acids ra…

Male0301 basic medicineGerontologyMediterranean dietMedicine (miscellaneous)VITAMIN-D STATUSSenior Fitness TestBody Mass IndexPhysical performanceCohort Studies0302 clinical medicine3123 Gynaecology and paediatricsSurveys and QuestionnairesVegetablesEpidemiologyLongitudinal StudiesMicronutrients030212 general & internal medicineMETABOLIC SYNDROMENutrition and DieteticsFatty AcidsFishesBALTIC SEA DIETta3141ta3142ASSOCIATIONMiddle AgedTrans Fatty AcidsMicronutrientMEDITERRANEAN DIETMilkFatty Acids UnsaturatedFemaleDietary ProteinsCohort studymedicine.medical_specialtyMeatMotor Activity03 medical and health sciencesDietary CarbohydratesmedicineAnimalsHumansFOOD FREQUENCY QUESTIONNAIRE030109 nutrition & dieteticsbusiness.industryNordic dietWOMENS HEALTHADULTSmedicine.diseaseDietary FatsDietBODY-MASS INDEXAgeingLOWER-EXTREMITY FUNCTIONNutrition AssessmentSeafood416 Food SciencePhysical performanceAgeingFruitMetabolic syndromeEdible GrainEnergy IntakebusinessBody mass indexFollow-Up StudiesDemography
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Adherence to a Mediterranean diet is associated with lower incidence of frailty: A longitudinal cohort study

2018

Background &amp; aims There is a paucity of data investigating the relationship between the Mediterranean diet and frailty, with no data among North American people. We aimed to investigate if adherence to a Mediterranean diet is associated with a lower incidence of frailty in a large cohort of North American people. Methods This study included subjects at higher risk or having knee osteoarthritis. Adherence to the Mediterranean diet was evaluated using a validated Mediterranean diet score (aMED) as proposed by Panagiotakos and classified into five categories. Frailty was defined using the Study of Osteoporotic Fracture (SOF) index as the presence of ≥2 out of: (i) weight loss ≥5% between b…

Male0301 basic medicineGerontologyPROTEIN-INTAKEMediterranean dietComorbidityDiet MediterraneanCritical Care and Intensive Care MedicineCohort Studiesolder people0302 clinical medicineRisk FactorsWeight lossLongitudinal Studies030212 general & internal medicineddc:616RISKNutrition and DieteticsFrailtyIncidenceIncidence (epidemiology)ConfoundingOsteoarthritis initiativeWOMENNURSING-HOME RESIDENTSMiddle AgedOsteoarthritis KneeLower incidenceCOMMUNITYCARDIOVASCULAR-DISEASEOsteoarthritis InitiativeFemalemedicine.symptomELDERLY-MENfrailtyArticle03 medical and health sciencesMediterranean dietFrailty; Mediterranean diet; Older people; Osteoarthritis initiativemedicineHumansAged030109 nutrition & dieteticsDWELLING OLDER-ADULTSbusiness.industryMORTALITYUnited StatesPhysical activity levelBODY-MASS INDEXInstitutional repositoryPatient ComplianceOlder peoplebusinessBody mass indexFollow-Up StudiesDemography
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Does early onset asthma increase childhood obesity risk? A pooled analysis of 16 European cohorts

2018

The parallel epidemics of childhood asthma and obesity over the past few decades have spurred research into obesity as a risk factor for asthma. However, little is known regarding the role of asthma in obesity incidence. We examined whether early-onset asthma and related phenotypes are associated with the risk of developing obesity in childhood.This study includes 21 130 children born from 1990 to 2008 in Denmark, France, Germany, Greece, Italy, The Netherlands, Spain, Sweden and the UK. We followed non-obese children at 3-4 years of age for incident obesity up to 8 years of age. Physician-diagnosed asthma, wheezing and allergic rhinitis were assessed up to 3-4 years of age.Children with ph…

Pulmonary and Respiratory MedicineMaleAllergyPediatricsmedicine.medical_specialtyPediatric ObesityInfants -- MalaltiesCHILDRENOverweightPROFILEChildhood obesityArticleCohort Studies03 medical and health sciences0302 clinical medicineSDG 3 - Good Health and Well-beingRisk FactorsWheezemedicineHumans030212 general & internal medicineRisk factorAge of OnsetChildAsmaAsthmaRespiratory SoundsOVERWEIGHTbusiness.industryINCIDENT ASTHMAmedicine.diseaseObesityRhinitis AllergicAsthma3. Good healthrespiratory tract diseasesBODY-MASS INDEXALLERGYEuropePhenotype030228 respiratory systemChild PreschoolObesitatFemaleAge of onsetmedicine.symptombusiness
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Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis…

2020

BACKGROUND: Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents.

Malebody-mass indexADULTHOODAdolescentspituuskasvuPediatricsBody Mass Index0302 clinical medicineChild DevelopmentnuoretPublic health surveillanceMedicineHealth Status Indicators10. No inequalityChild11 Medical and Health SciencesBody mass indexComputingMilieux_MISCELLANEOUSeducation.field_of_studyVDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin sosialmedisin: 801General MedicineBody mass indexeskansainvälinen vertailu3. Good healthGeographyHealth030220 oncology & carcinogenesisChild PreschoolMedical and Health sciences//purl.org/becyt/ford/3 [https]medicine.medical_specialtySchool-aged adolescentsSocio-culturalelapset (ikäryhmät)Nursing.territoriesravinto//purl.org/becyt/ford/3.3 [https]03 medical and health sciencesSchool ChildrenSDG 3 - Good Health and Well-beingSYSTEMATIC ANALYSISHumansschool-aged children and adolescentsMontenegroeducationScience & TechnologyOmvårdnadHealth sciences Medical and Health sciencesCiências médicas e da saúdeBayes TheoremAnthropometryAdolescent Developmentmedicine.diseaseTRENDSHeight and Body-mass IndexFaculdade de Ciências SociaisUNDERNUTRITIONHeight index trajectoriesHeight body mass index children epidemiologybody-mass index; school-aged children and adolescents; risk factors growthStatureBody mass indexDemographySettore MED/09 - Medicina InternaInternationality[SDV]Life Sciences [q-bio]030204 cardiovascular system & hematologyBody-mass index trajectoriesEpidemiologyMedicine and Health Sciencesrisk factorscountriesEPIDEMIOLOGYheight ; body-mass index ; children ; adolescents ; BMI030212 general & internal medicinepainoindeksiChild development2. Zero hungerMedicine(all)School age childobestity children cardiovascularPopulation Health1. No povertyPediatrikPublic Health Global Health Social Medicine and Epidemiology3142 Public health care science environmental and occupational healthPeer reviewPooled analysis/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingNUTRITIONFemalemedicine.symptompooled analysis/dk/atira/pure/subjectarea/asjc/2700Life Sciences & Biomedicineterveysheight BMI nutrition health children adolescentsAdolescentgrowthPopulationbody-massPopulation basedBody-mass indexBMIYoung AdultMedicine General & InternalchildrenMeta-Analysis as TopicGeneral & Internal Medicineparasitic diseasesWeight gainSchool-aged childrensAge trajectoriesbusiness.industryHeightWeightBody HeightFolkhälsovetenskap global hälsa socialmedicin och epidemiologiMalnutritionONSETCiências da Saúde Ciências médicas e da saúdeSchool-aged childrenVDP::Medical disciplines: 700::Health sciences: 800::Community medicine Social medicine: 801businessWeight gainterveysriskitEstilos de Vida e Impacto na Saúde
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High perceived stress is associated with unfavorable eating behavior in overweight and obese Finns of working age

2016

Stress-related eating may be a potential factor in the obesity epidemic. Rather little is known about how stress associates with eating behavior and food intake in overweight individuals in a free-living situation. Thus, the present study aims to investigate this question in psychologically distressed overweight and obese working-aged Finns. The study is a cross-sectional baseline analysis of a randomized controlled trial. Of the 339 study participants, those with all the needed data available (n = 297, 84% females) were included. The mean age was 48.9 y (SD = 7.6) and mean body mass index 31.3 kg/m(2) (SD = 3.0). Perceived stress and eating behavior were assessed by self-reported questionn…

Male0301 basic medicineFOOD-INTAKEobesityEmotionsPerceived Stress ScaleOverweighteating behaviorBody Mass IndexDevelopmental psychologyEatingRisk FactorsWeight managementFinlandGeneral Psychologyta515Randomized Controlled Trials as TopicMETABOLIC SYNDROME2. Zero hungerGENERAL-POPULATIONNutrition and DieteticsIntuitive eatingta3141Middle AgedEmotional eating3. Good healthDEPRESSIVE SYMPTOMS/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemaleHEALTHmedicine.symptomPsychologyClinical psychologyAdultta222Alcohol Drinking515 Psychologyperceived stressDIET QUALITYta311103 medical and health sciencesSDG 3 - Good Health and Well-beingCOMPETENCE INVENTORYDRINKINGmedicineHumans030109 nutrition & dieteticsemotional eatingFeeding BehaviorOverweightmedicine.diseaseintuitive eatingObesityBODY-MASS INDEX3141 Health care scienceCross-Sectional StudiesPSYCHOMETRIC PROPERTIESlihavuusSelf ReportMetabolic syndromedietary intakeBody mass indexStress PsychologicalAppetite
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A common biological basis of obesity and nicotine addiction

2013

Contains fulltext : 128630.pdf (Publisher’s version ) (Open Access) Smoking influences body weight such that smokers weigh less than non-smokers and smoking cessation often leads to weight increase. The relationship between body weight and smoking is partly explained by the effect of nicotine on appetite and metabolism. However, the brain reward system is involved in the control of the intake of both food and tobacco. We evaluated the effect of single-nucleotide polymorphisms (SNPs) affecting body mass index (BMI) on smoking behavior, and tested the 32 SNPs identified in a meta-analysis for association with two smoking phenotypes, smoking initiation (SI) and the number of cigarettes smoked …

obesityFOOD-INTAKETAG Consortiummedicine.medical_treatmentOxford-GSK ConsortiumLOCIIcelandAetiology screening and detection [ONCOL 5]VARIANTS3124 Neurology and psychiatryNicotine0302 clinical medicineDEPENDENCE030212 general & internal medicineAge of OnsetENGAGE consortiumPOPULATIONAddiction; Body Mass Index; Nicotine dependence; Smokingmedia_commonPsychiatry2. Zero hunger0303 health scienceseducation.field_of_studyASSOCIATIONTobacco Use DisorderDSM-VCANCER3142 Public health care science environmental and occupational health3. Good healthPsychiatry and Mental healthMeta-analysis/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingOriginal ArticleaddictionLife Sciences & Biomedicinemedicine.drugmedicine.medical_specialtymedia_common.quotation_subjectPopulationbody mass indexPolymorphism Single Nucleotidesmoking03 medical and health sciencesCellular and Molecular NeuroscienceSDG 3 - Good Health and Well-beingInternal medicinemedicineHumansSMOKING-BEHAVIORnicotine dependencePsychiatryeducationBiological PsychiatryMolecular epidemiology Aetiology screening and detection [NCEBP 1]030304 developmental biologyScience & Technologybusiness.industryAddictionAppetitemedicine.diseaseObesityBODY-MASS INDEXBehavior AddictiveEndocrinologySmoking cessationbusinessBody mass indexTranslational Psychiatry
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