0000000000227163

AUTHOR

Timothy J. Key

showing 6 related works from this author

Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

2021

From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia…

Population -- Health aspectsLeannessBaixo peso/UnderweightnoneDouble burdenalipainoisuustulotasoglobal healthsystematic analysisSedentary behaviorsRC1200Prospective associations0302 clinical medicineunderweightnälänhätäBiology (General)skin and connective tissue diseasesChildrenComputingMilieux_MISCELLANEOUSBody mass indexHuman Nutrition & Healtheducation.field_of_studyHumane Voeding & GezondheidylipainoGeneral Medicinekansainvälinen vertailu3. Good healthWorld healthMedicineA100 Pre-clinical MedicinePopulation distributionmedicine.medical_specialtyQH301-705.5ScienceSocio-culturaleNursing.Social sciencesGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesThinnessSDG 3 - Good Health and Well-beingBMI; epidemiology; global health; none; obesity; underweightNoneHumansObesidade/ObesitySDG 2 - Zero HungereducationVLAGUS adultsOmvårdnadbody mass index; malnutrition; obesity underweightnutritional and metabolic diseasesmedicine.diseaseterveellisyysObesityFaculdade de Ciências SociaisBMI; epidemiology; global health; none; obesity; underweight; Body Mass Index; Humans; Obesity; Prevalence; Risk Factors; ThinnessGeneral BiochemistryWIASlihavuusunderweight ; obesity ; BMIBody mass indexRADemographyN.A.double burdenobesitySettore MED/09 - Medicina Internaalueelliset erotNutrition and DiseaseAnimal Nutrition[SDV]Life Sciences [q-bio]Medizin030204 cardiovascular system & hematology0601 Biochemistry and Cell BiologyChange distribution of body mass indexRisk FactorsRA0421Voeding en ZiekteEpidemiologyPrevalenceMedicine and Health SciencesGlobal healthÍndice de massa corporal/Body Mass Index030212 general & internal medicineUnderweightpainoindeksi2. Zero hungerGeneral NeuroscienceQRaliravitsemuselintarvikkeethealthPublic Health Global Health Social Medicine and EpidemiologyDiervoeding3142 Public health care science environmental and occupational health//purl.org/pe-repo/ocde/ford#3.01.03 [https]/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingChinese adultsepidemiologypooled analysisUnderweightmedicine.symptomDiet qualityB120 PhysiologyResearch Articletrends//purl.org/pe-repo/ocde/ford#1.06.03 [https]prevalencePopulationMothersGenetics and Molecular Biologybody mass indexmalnutrition3121 Internal medicineBMImedicineLife Scienceddc:6103125 Otorhinolaryngology ophthalmologyObesitykehonkoostumusNutritionAustralian adultsGeneral Immunology and Microbiology//purl.org/pe-repo/ocde/ford#3.01.04 [https]Ciências sociaisFolkhälsovetenskap global hälsa socialmedicin och epidemiologiMalnutritionEpidemiology and Global Healthsense organsEstilos de Vida e Impacto na Saúde
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Author response: Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

2020

education.field_of_studybusiness.industryPopulationDistribution (economics)medicine.diseaseObesityGeographymedicineUnderweightmedicine.symptomeducationbusinessBody mass indexDemography
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Genome-wide Association Analysis in Humans Links Nucleotide Metabolism to Leukocyte Telomere Length

2020

Leukocyte telomere length (LTL) is a heritable biomarker of genomic aging. In this study, we perform a genome-wide meta-analysis of LTL by pooling densely genotyped and imputed association results across large-scale European-descent studies including up to 78,592 individuals. We identify 49 genomic regions at a false dicovery rate (FDR) < 0.05 threshold and prioritize genes at 31, with five highlighting nucleotide metabolism as an important regulator of LTL. We report six genome-wide significant loci in or near SENP7, MOB1B, CARMIL1, PRRC2A, TERF2, and RFWD3, and our results support recently identified PARP1, POT1, ATM, and MPHOSPH6 loci. Phenome-wide analyses in >350,000 UK Biobank p…

Netherlands Twin Register (NTR)LimfomesLOCIGenome-wide association studyDiseaseVARIANTSDISEASE0302 clinical medicineLeukocytestelomere lengthGWASGenetics(clinical)CàncerMendelian randomisationThyroid cancerGenetics (clinical)11 Medical and Health SciencesCancerGeneticsGenetics & HeredityRISK0303 health sciencesTelòmerage-related disease; biological aging; Mendelian randomisation; telomere length; Humans; Leukocytes; Nucleotides; Genome-Wide Association Study; TelomereNucleotidesmeta-analyysigenomiikkaGenomicsTelomereCANCER3. Good health030220 oncology & carcinogenesisbiological agingMENDELIAN RANDOMIZATION/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingMedical geneticsBiomarker (medicine)HEARTLymphomasLife Sciences & BiomedicineMedical Geneticsmedicine.medical_specialtyGENESDATABASEAge-related Disease ; Biological Aging ; Mendelian Randomisation ; Telomere LengthBiologyArticle03 medical and health sciencesSDG 3 - Good Health and Well-beingMendelian randomization/dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_medicineGeneticsJournal ArticleHumans030304 developmental biologyMedicinsk genetikage-related diseaseScience & TechnologyCancer06 Biological Sciencesmedicine.diseaseTelomereGenòmicaikääntyminen1182 Biochemistry cell and molecular biologytelomeeritbiologicalGenome-Wide Association Study
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Eating at restaurants, at work or at home. Is there a difference? A study among adults of 11 European countries in the context of the HECTOR* project

2016

BACKGROUND/OBJECTIVES: To compare macronutrient intakes out of home-by location-to those at home and to investigate differences in total daily intakes between individuals consuming more than half of their daily energy out of home and those eating only at home.SUBJECTS/METHODS: Data collected through 24-h recalls or diaries among 23766 European adults. Participants were grouped as 'non-substantial', 'intermediate' and 'very substantial out-of-home' eaters based on energy intake out of home. Mean macronutrient intakes were estimated at home and out of home (overall, at restaurants, at work). Study/cohort-specific mean differences in total intakes between the 'very substantial out-of-home' and…

AdultMale0301 basic medicineGerontologyRestaurantsAlcohol DrinkingMedicine (miscellaneous)Context (language use)610 Medicine & healthDiet SurveysEating03 medical and health sciencesSex FactorsFeeding behaviorSex factorsEnvironmental healthDietary CarbohydratesHumansMedicine030109 nutrition & dieteticsNutrition and Dieteticsbusiness.industryAdult; Alcohol Drinking; Diet; Diet Records; Diet Surveys; Dietary Carbohydrates; Dietary Fats; Dietary Proteins; Energy Intake; Europe; Female; Humans; Linear Models; Male; Mental Recall; Sex Factors; Eating; Feeding Behavior; RestaurantsDietary intakeHealth sciences Medical and Health sciencesCiências médicas e da saúde2701 Medicine (miscellaneous)Feeding Behavior10060 Epidemiology Biostatistics and Prevention Institute (EBPI)medicine.diseaseDietary FatsObesityDiet RecordsDiet SurveysDietEuropeWork (electrical)Mental RecallLinear ModelsMedical and Health sciences2916 Nutrition and DieteticsFemaleDietary ProteinsCiências da Saúde Ciências médicas e da saúdeEnergy IntakebusinessBody mass index
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European code against cancer 4th edition: 12 ways to reduce your cancer risk

2015

AbstractThis overview describes the principles of the 4th edition of the European Code against Cancer and provides an introduction to the 12 recommendations to reduce cancer risk. Among the 504.6 million inhabitants of the member states of the European Union (EU28), there are annually 2.64 million new cancer cases and 1.28 million deaths from cancer. It is estimated that this cancer burden could be reduced by up to one half if scientific knowledge on causes of cancer could be translated into successful prevention. The Code is a preventive tool aimed to reduce the cancer burden by informing people how to avoid or reduce carcinogenic exposures, adopt behaviours to reduce the cancer risk, or t…

Cancer Researchmedicine.medical_specialtyQuality Assurance Health CareEpidemiologyUterine Cervical NeoplasmsCancer preventionCauses of cancerCancer screeningBreast cancerRisk FactorsEnvironmental healthCancer screeningmedicinemedia_common.cataloged_instanceHumansEuropean UnionEuropean unionPreventive healthcaremedia_commonCervical cancerCancer risk factorsCancer preventionbusiness.industryCancermedicine.diseaseEuropeOncology1117 Public Health And Health ServicesWorking Groups of Scientific ExpertsPractice Guidelines as TopicFemalebusiness1112 Oncology And Carcinogenesis
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Risk prediction for estrogen receptor-specific breast cancers in two large prospective cohorts

2018

Source at https://doi.org/10.1186/s13058-018-1073-0. Licensed CC BY-NC-ND 4.0. Background: Few published breast cancer (BC) risk prediction models consider the heterogeneity of predictor variables between estrogen-receptor positive (ER+) and negative (ER-) tumors. Using data from two large cohorts, we examined whether modeling this heterogeneity could improve prediction. Methods: We built two models, for ER+ (ModelER+) and ER- tumors (ModelER-) , respectively, in 281,330 women (51% postmenopausal at recruitment) from the European Prospective Investigation into Cancer and Nutrition cohort. Discrimination (C-statistic) and calibration (the agreement between predicted and observed tumor risks)…

OncologyHORMONE-REPLACEMENT THERAPYmedicine.medical_treatmentWHI0302 clinical medicineBreast cancerRisk FactorsEstrogen receptor030212 general & internal medicineProspective StudiesProspective cohort study2. Zero hungerIncidenceHormone replacement therapy (menopause)Middle Agedlcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogensPrognosisRisk prediction3. Good healthEuropean Prospective Investigation into Cancer and NutritionMenopausePOSTMENOPAUSAL WOMENReceptors EstrogenPLUS PROGESTIN030220 oncology & carcinogenesisCohortFemaleRisk assessmentResearch Articlemedicine.medical_specialtyMODELSAntineoplastic AgentsBreast NeoplasmsEstrògenslcsh:RC254-282Models BiologicalRisk AssessmentVALIDATIONCàncer de mamaMAMMOGRAPHY03 medical and health sciencesBreast cancerInternal medicinemedicineHumansOncology & CarcinogenesisCancer och onkologiVDP::Medical disciplines: 700::Clinical medical disciplines: 750::Oncology: 762business.industryMORTALITYKirurgiProspective cohortmedicine.diseaseEstrogenVDP::Medisinske Fag: 700::Klinisk medisinske fag: 750::Onkologi: 762Cancer and OncologySurgerybusinessEPIC1112 Oncology And CarcinogenesisBody mass indexFollow-Up StudiesBreast Cancer Research : BCR
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