Search results for "BODY-MASS"

showing 10 items of 42 documents

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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Polygenic Score for Physical Activity Is Associated with Multiple Common Diseases

2021

Supplemental digital content is available in the text.

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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Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risk…

2015

Summary Background The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the first of a series of annual updates of the GBD. Risk factor quantification, particularly of modifiable risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution. Methods Attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) have been estimated for 79 risks or clusters of risks using the GBD 2…

MaleFine particulate matterNutrition and DiseaseMESH : SanitationHealth BehaviorDiseasesMESH: Metabolic DiseasesMESH: Global Health030204 cardiovascular system & hematologyMESH: Risk AssessmentGlobal HealthMESH : Nutritional StatusMESH: Occupational Exposure0302 clinical medicineUnsafe SexMESH: Risk FactorsRisk FactorsVoeding en ZiekteMedicineAir-pollutionMESH : Female030212 general & internal medicineMESH : Risk AssessmentSanitationWasting2. Zero hungerFactors de risc en les malaltiesMedicine (all)[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologiePublic Health Global Health Social Medicine and EpidemiologyGeneral MedicineMESH : Occupational DiseasesMESH: Nutritional StatusAll-cause mortalityMESH : Risk FactorshumanitiesEnvironmental Exposure; Female; Global Health; Health Behavior; Humans; Male; Metabolic Diseases; Nutritional Status; Occupational Diseases; Occupational Exposure; Risk Assessment; Risk Factors; Sanitation; Medicine (all)Tobacco smoking3. Good healthOccupational DiseasesNutritional StatuMESH : Occupational ExposureMESH : Metabolic DiseasesCohortFemalemedicine.symptomRisk assessmentBlood-pressureHumanMESH: Occupational DiseasesRisk factors in diseasesCoronary-heart-diseaseMESH : MaleMESH: Health BehaviorMESH: Environmental ExposureNutritional StatusPopulation healthBody-mass indexRisk Assessment03 medical and health sciencesHousehold cookingMetabolic DiseasesCardiovascular-diseaseEnvironmental healthGeneral & Internal MedicineOccupational Exposureparasitic diseasesLife ScienceMESH: SanitationHumansRisk factorMESH : Health BehaviorVLAGGBD2013MESH: Humansbusiness.industryRisk FactorGlobal Burden of Disease Study; 79 behavioural environmental and occupational and metabolic risksLong-term exposureMESH : HumansCAUSE-SPECIFIC MORTALITYEnvironmental ExposureMESH: MaleMetabolic DiseaseOccupational DiseaseFolkhälsovetenskap global hälsa socialmedicin och epidemiologiMALE BRITISH DOCTORSYears of potential life lostRelative riskMalaltiesMESH : Global HealthOUTDOOR AIR-POLLUTION[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologiebusinessMESH : Environmental ExposureMESH: FemaleLancet
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Health effects of overweight and obesity in 195 countries over 25 years

2017

Source at: http://doi.org/10.1056/NEJMoa1614362 Background: Although the rising pandemic of obesity has received major attention in many countries, the effects of this attention on trends and the disease burden of obesity remain uncertain. Methods: We analyzed data from 68.5 million persons to assess the trends in the prevalence of overweight and obesity among children and adults between 1980 and 2015. Using the Global Burden of Disease study data and methods, we also quantified the burden of disease related to high body-mass index (BMI), according to age, sex, cause, and BMI in 195 countries between 1990 and 2015. Restults: In 2015, a total of 107.7 million children and 603.7 million adult…

MaleGerontologyPediatric ObesityobesityVDP::Medisinske Fag: 700::Helsefag: 800::Epidemiologi medisinsk og odontologisk statistikk: 803global healthDiseaseOverweightGlobal HealthVDP::Social science: 200::Demography: 300DISEASEVDP::Medical disciplines: 700::Health sciences: 800::Nutrition: 811Body Mass Index0302 clinical medicineRA0421PandemicPrevalenceadultsGlobal health030212 general & internal medicineChildhumansALL-CAUSE MORTALITYchildadult1. No povertypediatric obesity/epidemiology11 Medical And Health SciencesGeneral MedicineCANCER3. Good healthfemaleVDP::Medical disciplines: 700::Health sciences: 800::Epidemiology medical and dental statistics: 803Cardiovascular DiseasesCohortFemalemedicine.symptomLife Sciences & BiomedicineobesitatResearch ArticleAdultprevalenceoverweight/complications/epidemiologyWEIGHT-LOSS030209 endocrinology & metabolismKNEE OSTEOARTHRITISVDP::Samfunnsvitenskap: 200::Demografi: 300VDP::Medisinske Fag: 700::Helsefag: 800::Ernæring: 81103 medical and health sciencescardiovascular diseases/complications/mortalityMedicine General & InternalchildrenmaleGeneral & Internal MedicineEnvironmental healthmedicineHumansoverweightCOHORTObesityDisease burdenMETAANALYSISScience & TechnologyGBD 2015 Obesity Collaboratorsbusiness.industryADULTSOverweightmedicine.diseaseObesityPREVENTIONBODY-MASS INDEXCross-Sectional StudiesbusinessBody mass indexobesity/complications/*epidemiology
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Trends in adult body-mass index in 200 countries from 1975 to 2014: a pooled analysis of 1698 population-based measurement studies with 19.2 million …

2016

Copyright © NCD Risk Factor Collaboration. Open Access article distributed under the terms of CC BY.

MaleObesidadCHILDRENSaludReviewpaíses desarrolladosGlobal HealthBody Mass IndexBody mass index population study0302 clinical medicineModelsFactores de riesgo cardiovascularMedicinebody mass index ; underweight ; overweight ; obesityYoung adultHuman Nutrition & Healtheducation.field_of_studyHumane Voeding & GezondheidGeneral MedicineASSOCIATION11 Medical And Health Sciencesadultopredicciónadulto jovenCARDIOVASCULAR-DISEASEthinness/epidemiologyNONCOMMUNICABLE DISEASESNCD Risk Factor Collaboration (NCD-RisC)Enfermedades cardiovascularesDeveloped countryteorema de BayesMedical sciences03 medical and health sciencesSDG 3 - Good Health and Well-beingThinnessHumanseducationDeveloping CountriesobesidadVLAGScience & TechnologyModels StatisticalCAUSE-SPECIFIC MORTALITYBayes Theoremmedicine.diseaseQPObesityadult body-massIndice de masa corporal (IMC)RISK-FACTORSAdolescent; Adult; Bayes Theorem; Body Mass Index; Developed Countries; Developing Countries; Female; Forecasting; Global Health; Humans; Male; Models Statistical; Obesity/epidemiology; Prevalence; Thinness/epidemiology; Young AdultRABody mass indexDemographyMeta-AnalysisGerontologySettore MED/09 - Medicina InternaNutrition and DiseasehumanosadolescenteOverweightpaíses en desarrolloVoeding en ZiekteMedicine and Health SciencesGlobal healthPrevalence030212 general & internal medicineNon-U.S. Gov'tMedicine (all)Research Support Non-U.S. Gov'tprevalenciaPublic Health Global Health Social Medicine and EpidemiologyStatisticalAdolescent; Adult; Bayes Theorem; Developed Countries; Developing Countries; Female; Forecasting; Humans; Male; Models Statistical; Obesity; Prevalence; Thinness; Young Adult; Body Mass Index; Global Health; Medicine (all)/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemaleUnderweightmedicine.symptompooled analysisLife Sciences & Biomedicineobesity/*epidemiologyAdultAdolescentPopulation030209 endocrinology & metabolismResearch SupportYoung AdultMedicine General & InternalEPIDEMICGeneral & Internal MedicineJournal ArticleLife Scienceddc:610ObesityObesidad morbidaOBESITY PREVENTIONOVERWEIGHTbusiness.industryDeveloped Countriesíndice de masa corporalCOHORTS//purl.org/pe-repo/ocde/ford#3.02.00 [https]Folkhälsovetenskap global hälsa socialmedicin och epidemiologiCiencias socio biomédicasbusinessdelgadezForecasting
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Genetics of Perceived Family Interaction From 12 to 17 Years of Age

2019

We analyzed how the effects of genetic and environmental factors on the perceptions of family interaction change from early to late adolescence. The data were collected by postal surveys on Finnish twins (N = 4808) at 12, 14 and 17 years of age and analyzed using genetic twin modeling. Additive genetic factors explained a modest share of the variation in perceived relational support (a2 = 0.30 in boys and 0.18 in girls) and relational tensions (a2 = 0.13 and 0.14, respectively) at 12 years of age, with the proportions becoming larger through 17 years of age (a2 = 0.53 in boys and 0.49 in girls for relational support; a2 = 0.35 in boys and 0.33 in girls for relational tensions). Simultaneous…

MaleParents0301 basic medicineCHILDHOODTwinsADULTHOODsosiaalinen vuorovaikutusAdolescentsDevelopmental psychology0302 clinical medicinenuoretSurveys and QuestionnairesTwins DizygoticadolescentsChildFinlandGenetics (clinical)media_commonOriginal ResearchHERITABILITYAge Factors1184 Genetics developmental biology physiologyLate adolescence3142 Public health care science environmental and occupational healthETIOLOGYHealth psychologyVariation (linguistics)perhesuhteetADOLESCENCE5141 SociologyFemaleFamily Relationsgeneettiset tekijätPsychologymedicine.medical_specialtyAdolescentmedia_common.quotation_subjectEnvironmentBEHAVIORSFamily interactionENVIRONMENTAL-INFLUENCES03 medical and health sciencesSex FactorsPerceptionmedicineGeneticsHumansFamilyEcology Evolution Behavior and SystematicskaksostutkimusperinnöllisyystiedePublic healthCorrectionTwins MonozygoticHeritabilityfamily interactionkaksosetBODY-MASS INDEX030104 developmental biologyEtiologyGene-Environment InteractionPerceptionBody mass index030217 neurology & neurosurgeryBehavior Genetics
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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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Novel association of the obesity risk-allele near Fas Apoptotic Inhibitory Molecule 2 (FAIM2) gene with heart rate and study of its effects on myocar…

2014

[Background] The Fas apoptotic pathway has been implicated in type 2 diabetes and cardiovascular disease. Although a polymorphism (rs7138803; G > A) near the Fas apoptotic inhibitory molecule 2 (FAIM2) locus has been related to obesity, its association with other cardiovascular risk factors and disease remains uncertain.

MalealelosEndocrinology Diabetes and MetabolismhumanosLOCIMyocardial Infarctionproteínas reguladoras de la apoptosisApoptosisType 2 diabetesVARIANTSDiet Mediterraneanestudios de seguimientoCoronary artery diseaseClinical trialsRisk FactorsMyocardial infarctionLongitudinal Studiesmediana edadOriginal Investigationeducation.field_of_studyancianoDiabetisdietaHàbits alimentarisCAUSE MORTALITYDiabetesSOLUBLE FASMiddle Agedestudios de asociación genéticaMEDITERRANEAN DIETCARDIOVASCULAR-DISEASECORONARY-ARTERY-DISEASEObesitatFemaleCardiology and Cardiovascular Medicinemedicine.medical_specialtyFood habitsPopulationHeart rateproteínas de membranasMediterranean cookingDiabetes mellitusInternal medicineCuina mediterràniamedicineDiabetes MellitusHumansfactores de riesgoJAPANESE POPULATIONGenetic Predisposition to DiseaseObesityGENOME-WIDE ASSOCIATIONeducationobesidadAllelesGenetic Association Studiesinfarto de miocardioAgedPolymorphism Geneticbusiness.industryMembrane Proteinspredisposición genética a la enfermedadmedicine.diseaseObesityFAIM2DietBODY-MASS INDEXInfart de miocardiMyocardial infarctionEndocrinologyBlood pressureDiabetes Mellitus Type 2frecuencia cardíacaestudios longitudinalesbusinessApoptosis Regulatory ProteinsBody mass indexFollow-Up StudiesAssaigs clínics
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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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Sport disciplines, types of sports, and waist circumference in young adulthood – a population-based twin study

2017

Purpose: The benefits of physical activity (PA) in preventing abdominal obesity are well recognized, but the role of different sport disciplines remains open. We aimed, therefore, to investigate how participation in different sport disciplines, and the number and types of sports engaged in are associated with waist circumference (WC) in young adulthood. Methods: This population-based cohort study comprised 4027 Finnish twin individuals (1874 men), with a mean age of 34 y (32-37), who answered a survey, including self-measured WC. We extracted the number and identified the types (aerobic, power, and mixed) of the different sport disciplines respondents reported participating in. Results: The…

MaleliikuntaCohort Studies0302 clinical medicineOrthopedics and Sports Medicine030212 general & internal medicinetwin study315 Sport and fitness sciencesYoung adultta315Abdominal obesityRISKeducation.field_of_studyta3141General Medicinewaist circumference3142 Public health care science environmental and occupational healthsport disciplinesWEIGHT-GAINVISCERAL FATADOLESCENCEFemaleHEALTHmedicine.symptomfyysinen aktiivisuusSportsCohort studyAdultCOUNTRIESmedicine.medical_specialtyWaistDizygotic twinPopulationEXERCISE030209 endocrinology & metabolismPhysical Therapy Sports Therapy and Rehabilitationabdominal obesityTIME PHYSICAL-ACTIVITY03 medical and health sciencesmedicineHumanseducationkaksostutkimusPhysical activitybusiness.industryTwin studyBODY-MASS INDEXPhysical therapybusinesshuman activitiesBody mass indexDemographyEuropean Journal of Sport Science
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