0000000000554353

AUTHOR

Heiner Boeing

showing 17 related works from this author

Genetically predicted longer telomere length is associated with increased risk of B-cell lymphoma subtypes

2016

International audience; Evidence from a small number of studies suggests that longer telomere length measured in peripheral leukocytes is associated with an increased risk of non-Hodgkin lymphoma (NHL). However, these studies may be biased by reverse causation, confounded by unmeasured environmental exposures and might miss time points for which prospective telomere measurement would best reveal a relationship between telomere length and NHL risk. We performed an analysis of genetically inferred telomere length and NHL risk in a study of 10 102 NHL cases of the four most common B-cell histologic types and 9562 controls using a genetic risk score (GRS) comprising nine telomere length-associa…

0301 basic medicineSerumMaleLymphomaanalysisChronic lymphocytic leukemiaFollicular lymphomaGlobal Health[ SDV.CAN ] Life Sciences [q-bio]/Cancerimmunologysurgery0302 clinical medicineEndocrinologyimmune system diseasessingle nucleotide polymorphismGermanyhemic and lymphatic diseasesLondon80 and overOdds RatiogeneticsProspective StudiesB-cell lymphomaAssociation Studies ArticleGenetics (clinical)Aged 80 and overeducation.field_of_studytelomereGenomeLeukemiaAge FactorsGeneral MedicineEnvironmental exposureGenomicsMiddle Agedb-cell lymphomasmall cell lymphomaItaly030220 oncology & carcinogenesisMedicineepidemiologyFemaleFranceRisk of B-cell lymphoma subtypesRiskAdultCanadaChinaLymphoma B-CellGenotypeAdolescentleukocytesetiologyPopulationPopulation[SDV.CAN]Life Sciences [q-bio]/CancerBiologyEnvironmentRisk AssessmentmethodsTime03 medical and health sciencesmedicineHumansFamilyGenetic Predisposition to DiseaseeducationMolecular BiologyAllelesOccupational HealthGenetic Association StudiesAgedB-CellInternational AgenciesOdds ratioEnvironmental Exposuremedicine.diseaseTelomereNon-Hodgkin's lymphoma030104 developmental biologyImmunologyphysiologyChronic DiseasepathologyLaboratoriesmetabolism
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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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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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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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Hypertension in Germany

2016

Background: Hypertension is a key risk factor. However, population data based on blood pressure measurements in Germany are scarce. Methods: Standardized blood pressure (BP) measurements and medication data from seven population-based studies conducted in Germany between 1994 and 2012 (66 845 participants, 25-74 years) were analyzed: the EPIC-Potsdam study (1994-1998, EPIC), the KORA-S4 Study (1999-2001) in Augsburg, and the Gutenberg Health Study (2007-2012, GHS) in Mainz/Mainz-Bingen provided data for descriptive comparisons. Time trends were analyzed based on identical study regions for the German National Health Interview and Examination Survey 1998 (BGS98) and the German Health Examina…

National healtheducation.field_of_studybusiness.industryPopulationDiastoleGeneral Medicine030204 cardiovascular system & hematology03 medical and health sciences0302 clinical medicineBlood pressureStudy of Health in PomeraniaPopulation dataMedicineNational level030212 general & internal medicineRisk factoreducationbusinessDemographyDeutsches Ärzteblatt international
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Heterogeneity of the Stearoyl-CoA desaturase-1 (SCD1) Gene and Metabolic Risk Factors in the EPIC-Potsdam Study

2012

Background: Stearoyl-CoA desaturase-1 (SCD1) is an enzyme involved in lipid metabolism. In mice and humans its activity has been associated with traits of the metabolic syndrome, but also with the prevention of saturated fatty acids accumulation and subsequent inflammation, whereas for liver fat content inconsistent results have been reported. Thus, variants of the gene encoding SCD1 (SCD1) could potentially modify metabolic risk factors, but few human studies have addressed this question. Methods: In a sample of 2157 middle-aged men and women randomly drawn from the Potsdam cohort of the European Prospective Investigation into Cancer and Nutrition, we investigated the impact of 7 SCD1 tagg…

MaleEpidemiologyPopulationlcsh:Medicine610Single-nucleotide polymorphismBiologyPolymorphism Single NucleotideBiochemistryCohort StudiesGenetic HeterogeneityMiceRisk FactorsGermanyNeoplasmsGenotypemedicineGeneticsAnimalsHumansGenetic Predisposition to Diseaselcsh:ScienceeducationBiologyGenetic Association StudiesCardiovascular Disease EpidemiologyAgedGeneticseducation.field_of_studyMultidisciplinaryGenetic heterogeneitylcsh:RHaplotypeHuman GeneticsMiddle Agedmedicine.diseaseEuropean Prospective Investigation into Cancer and NutritionEnzymesMinor allele frequencyHaplotypesGenetic EpidemiologyGenetic PolymorphismMedicinelcsh:QFemaleMetabolic syndromeStearoyl-CoA DesaturasePopulation GeneticsResearch Article
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Significant associations of the rs2943634 (2q36.3) genetic polymorphism with adiponectin, high density lipoprotein cholesterol and ischemic stroke.

2011

Abstract Background rs2943634 C/A single nucleotide polymorphism (SNP), located in a non coding region of chromosome 2q36.3, has been associated with coronary artery disease in two genome wide association studies. Our goal was to investigate its relation with myocardial infarction (MI) and ischemic stroke (IS), as well as with 12 intermediate risk phenotypes, in a population-based prospective cohort study. Methods rs2943634 was genotyped in a case–cohort study including a random sample of 1891 individuals (subcohort) and all incident MI (n = 211) and IS (n = 144) cases during a mean follow-up of 8.2 ± 2.2 years, nested within the European Prospective Investigation into Cancer and Nutrition …

Malemedicine.medical_specialtyPopulationMyocardial InfarctionSingle-nucleotide polymorphismGenome-wide association studyBiologyLower riskPolymorphism Single NucleotideRisk FactorsInternal medicineGeneticsmedicineHumanseducationProspective cohort studyGenetic Association Studieseducation.field_of_studyAdiponectinHazard ratioCholesterol HDLGeneral MedicineMiddle AgedEuropean Prospective Investigation into Cancer and NutritionStrokeEndocrinologyCardiovascular DiseasesFemaleAdiponectinGene
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Traditional Dietary Patterns and Risk of Mortality in a Longitudinal Cohort of the Salus in Apulia Study

2020

There is still room for further studies analyzing the long-term health impact of specific dietary patterns observable in regions belonging to the Mediterranean area. The aim of the study is to evaluate how much a diet practiced in southern Italy is associated to a risk of mortality. The study population included 2472 participants first investigated in 1985, inquiring about their frequencies of intake of 29 foods using a self-administered questionnaire covering the previous year. The population was followed up for mortality until 31 December 2017. Cox-based risk modeling referred to single foods, food groups, the results of principal component analysis (PCA), and a priori indexes. Single foo…

MaleRisk0301 basic medicinefood intakemed-diet scoreEggsLongevityPopulationlcsh:TX341-641ArticleCohort StudiesFood groupEating03 medical and health sciencesdash index0302 clinical medicinemind indexSurveys and QuestionnairesEnvironmental healthDashRisk of mortalityHumansMedicineapuliaLongitudinal Studies030212 general & internal medicineLongitudinal cohorthealthy diet indexeseducationeducation.field_of_study030109 nutrition & dieteticsNutrition and Dieteticsbusiness.industryHazard ratioFood AnalysisDietMeat ProductsItalyhealthy diet indexePopulation studyFemaleDairy ProductsDiet Healthybusinesslcsh:Nutrition. Foods and food supplyFood ScienceNutrients
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Analysis of Heritability and Shared Heritability Based on Genome-Wide Association Studies for Thirteen Cancer Types

2015

BACKGROUND: Studies of related individuals have consistently demonstrated notable familial aggregation of cancer. We aim to estimate the heritability and genetic correlation attributable to the additive effects of common single-nucleotide polymorphisms (SNPs) for cancer at 13 anatomical sites.METHODS: Between 2007 and 2014, the US National Cancer Institute has generated data from genome-wide association studies (GWAS) for 49 492 cancer case patients and 34 131 control patients. We apply novel mixed model methodology (GCTA) to this GWAS data to estimate the heritability of individual cancers, as well as the proportion of heritability attributable to cigarette smoking in smoking-related cance…

MaleCancer ResearchLung NeoplasmsLymphomaGenome-wide association studyPolymorphism (computer science)NeoplasmsMedicineChronicGeneticsOsteosarcomaOncology And CarcinogenesisLeukemiaSmokingFamily aggregationSingle NucleotideMiddle AgedFamilial riskDiffuseKidney NeoplasmsLymphocyticOncologyAdult; Aged; Asian Continental Ancestry Group; Bone Neoplasms; European Continental Ancestry Group; Female; Humans; Kidney Neoplasms; Leukemia Lymphocytic Chronic B-Cell; Lung Neoplasms; Lymphoma Large B-Cell Diffuse; Male; Middle Aged; Neoplasms; Osteosarcoma; Polymorphism Single Nucleotide; Smoking; Testicular Neoplasms; Tissue Array Analysis; Urinary Bladder Neoplasms; Genetic Predisposition to Disease; Genome-Wide Association StudyFemaleLymphoma Large B-Cell DiffuseAdultAsian Continental Ancestry GroupEuropean Continental Ancestry Group/Bone NeoplasmsPolymorphism Single NucleotideGenetic correlationTesticular NeoplasmsLarge B-CellHumansGenetic Predisposition to DiseaseOncology & CarcinogenesisPolymorphismAgedbusiness.industryExtramuralB-CellCancerHeritabilityGenome-wide association studies for thirteen cancer typesmedicine.diseaseLeukemia Lymphocytic Chronic B-CellUrinary Bladder NeoplasmsTissue Array AnalysisbusinessGenome-Wide Association StudyJournal of the National Cancer Institute
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Genome-wide association study identifies multiple susceptibility loci for diffuse large B cell lymphoma

2014

Diffuse large B cell lymphoma (DLBCL) is the most common lymphoma subtype and is clinically aggressive. To identify genetic susceptibility loci for DLBCL, we conducted a meta-analysis of 3 new genome-wide association studies (GWAS) and 1 previous scan, totaling 3,857 cases and 7,666 controls of European ancestry, with additional genotyping of 9 promising SNPs in 1,359 cases and 4,557 controls. In our multi-stage analysis, five independent SNPs in four loci achieved genome-wide significance marked by rs116446171 at 6p25.3 (EXOC2; P = 2.33 × 10 '21), rs2523607 at 6p21.33 (HLA-B; P = 2.40 × 10 '10), rs79480871 at 2p23.3 (NCOA1; P = 4.23 × 10 '8) and two independent SNPs, rs13255292 and rs47336…

LimfomesGenotypeChronic lymphocytic leukemiaCèl·lules BQuantitative Trait LociPopulationFollicular lymphomaGenome-wide association studySingle-nucleotide polymorphismBiologyPolymorphism Single NucleotideArticleWhite PeopleGeneticsGenetic predispositionmedicineHumansGenetic Predisposition to DiseaseeducationGenetic associationGeneticsLikelihood Functionseducation.field_of_studyB cellsChromosome MappingComputational Biologymedicine.diseaseGenetic Locilarge B cell lymphoma (DLBCL)LymphomasLymphoma Large B-Cell DiffuseDiffuse large B-cell lymphomaGenome-Wide Association Study
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Contributions of mean and shape of blood pressure distribution to worldwide trends and variations in raised blood pressure: A pooled analysis of 1018…

2018

Background: Change in the prevalence of raised blood pressure could be due to both shifts in the entire distribution of blood pressure (representing the combined effects of public health interventions and secular trends) and changes in its high-blood-pressure tail (representing successful clinical interventions to control blood pressure in the hypertensive population). Our aim was to quantify the contributions of these two phenomena to the worldwide trends in the prevalence of raised blood pressure. Methods: We pooled 1018 population-based studies with blood pressure measurements on 88.6 million participants from 1985 to 2016. We first calculated mean systolic blood pressure (SBP), mean dia…

systolic blood pressureSettore MED/09 - Medicina Internablood pressure measurementHEALTH EXAMINATION SURVEYSBlood Pressure ; Hypertension ; Population Health ; Global Health ; Non-communicable DiseaseEpidemiology[SDV]Life Sciences [q-bio]global healthSouth Asia//purl.org/pe-repo/ocde/ford#3.03.09 [https]kohonnut verenpaineMedicine and Health Sciencesmiddle income countrymeasurement methodskin and connective tissue diseasesVDP::Medisinske Fag: 700::Klinisk medisinske fag: 750::Kardiologi: 771Public Environmental & Occupational HealthadultPopulation healthpublic healthblood pressure regulationPublic Health Global Health Social Medicine and EpidemiologyNon-communicable diseasekansainvälinen vertailuhealth surveyagedfemalepriority journalHypertensionBlood pressuremean arterial pressureGLOBAL TRENDSSODIUM-INTAKELife Sciences & Biomedicinesurvey designhypertensionprevalenceGlobal healthUNITED-STATESURBAN COMMUNITIESArticleSECULAR TRENDSMiddle EastCentral Asiamaledisease prevalence[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemkansanterveysbloodSYSTEMATIC ANALYSIShumanverenpainetautiBlood pressure; Global health; Hypertension; Non-communicable disease; Population health; Epidemiology; public health;non-communicable diseaseScience & TechnologyPacific Oceanhigh income countrydiastolic blood pressurePacific RimBlood pressure; Global health; Hypertension; Non-communicable disease; Population healthBlood Pressure - Epidemiology - PopulationNorth Africamajor clinical studyHYPERTENSION PREVALENCEverenpaineFolkhälsovetenskap global hälsa socialmedicin och epidemiologiARTERIAL-HYPERTENSION[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologiePOTASSIUM INTAKEsense organstrend analysistrend studypopulation researchpopulation health[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologylow income country
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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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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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Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement s…

2017

© 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 licenseBackground Underweight, overweight, and obesity in childhood and adolescence are associated with adverse health consequences throughout the life-course. Our aim was to estimate worldwide trends in mean body-mass index (BMI) and a comprehensive set of BMI categories that cover underweight to obesity in children and adolescents, and to compare trends with those of adults. Methods We pooled 2416 population-based studies with measurements of height and weight on 128·9 million participants aged 5 years and older, including 31·5 million aged 5–19 years. We used a Bayesian hierarchical model …

MaleobesityPediatric ObesitySettore MED/09 - Medicina Internaage distributionBayes theoremNiue[SDV]Life Sciences [q-bio]global healthpreschool childBody Mass IndexunderweightPrevalencestatistics and numerical dataChildComputingMilieux_MISCELLANEOUSMedicine (all)adultAge FactorsAmerican Samoafemalepriority journalChild Preschoolbody heightyoung adultCook IslandsNauruchildhood obesityAdolescentPalausex differenceEastern Europeadolescent obesityArticlePolynesiaSouth and Central Americabody weightFederated States of MicronesiaSex FactorsThinnessgeographic distributionHumanscontrolled studyhumanCaribbeanOverweightNorth Africamajor clinical studybody massUnited States//purl.org/pe-repo/ocde/ford#3.02.00 [https]agesex factortrend study
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A century of trends in adult human height

2016

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estatura corporalEpidemiologyComputingMilieux_LEGALASPECTSOFCOMPUTINGmedical research;pituuskasvuGlobal Healthmedical research0302 clinical medicineadultsPublic health surveillanceBiology (General)ComputingMilieux_MISCELLANEOUSheight ; global ; trendsPOPULATIONHuman Nutrition & Healthbiological sciences;education.field_of_studyEVOLUÇÃO HUMANAbiological sciencesHumane Voeding & GezondheidGeneral MedicineadultoHälsovetenskaperBiological sciencesnutritionOF-THE-LITERATUREMedicineGROWTHHEALTHPublic HealthHumanQH301-705.5ScienceSECULAR CHANGESSocio-culturaleGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesEpidemiology; Public HealthMedical researchNoneHealth SciencesHumansHuman heighteducationVLAGNeuroscience (all)Biochemistry Genetics and Molecular Biology (all)Adult human heightCHILD UNDERNUTRITION030104 developmental biologyBody mass index030217 neurology & neurosurgeryheightDemography0301 basic medicineSettore MED/09 - Medicina InternaNutrition and DiseaseImmunology and Microbiology (all)[SDV]Life Sciences [q-bio]humanosbiological sciences; epidemiology; global health; medical research; none; nutritionVoeding en ZiekteStature -- History -- 20th centuryMedicine and Health SciencesBiological sciencesaikuisetGeneral NeuroscienceQRPublic Health Global Health Social Medicine and EpidemiologyBody sizenone;biological sciences; epidemiology; global health; medical research; none; nutrition; Adult; Global Health; Humans; Body Height; Neuroscience (all); Biochemistry Genetics and Molecular Biology (all); Immunology and Microbiology (all)epidemiology;Adult height//purl.org/pe-repo/ocde/ford#3.01.03 [https]Research Articletrendsglobal health;AdultSTATURESouth asia//purl.org/pe-repo/ocde/ford#1.06.03 [https]Stature TallPopulationGlobal healthJournal ArticleLife ScienceGeneral Immunology and Microbiologybiological science//purl.org/pe-repo/ocde/ford#3.01.04 [https]Quarter (United States coin)Body HeighttrenditBODY-MASS INDEXFolkhälsovetenskap global hälsa socialmedicin och epidemiologikorkeusEpidemiology and Global HealthCancer incidenceCANCER INCIDENCEWEIGHT
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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

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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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