0000000000226860

AUTHOR

Farhad Pourfarzi

showing 7 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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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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Repositioning of the global epicentre of non-optimal cholesterol

2020

Publisher's version (útgefin grein)

MaleMyocardial Ischemia/bloodBLOOD-PRESSUREtriglicéridos0302 clinical medicineCardiovascular diseases ; Risk factorsHDL cholesterol80 and overCARDIOVASCULAR RISK-FACTORSPublic health surveillance//purl.org/pe-repo/ocde/ford#3.02.04 [https]BlóðrásarsjúkdómarSocioeconomicsmediana edadComputingMilieux_MISCELLANEOUSPOPULATIONHypercholesterolemia/bloodAged 80 and overCholesterol HDL/bloodancianoeducation.field_of_studyKólesterólriskitekijätadulto3. Good healthadulto jovenTriglycerides/bloodCardiovascular diseasesGeographyCholesterolManchester Institute for Collaborative Research on AgeingCholesterol LDL/bloodDENSITY-LIPOPROTEIN CHOLESTEROLEndokrinologi och diabetesNCD Risk Factor Collaboration (NCD-RisC)Science & Technology - Other Topics//purl.org/becyt/ford/3 [https]Westernteorema de Bayesmedicine.medical_specialtyResearchInstitutes_Networks_Beacons/MICRAHDLMedicinaHypercholesterolemiahipercolesterolemiaNursingHEART-DISEASEEndocrinology and DiabetesHigh blood cholesterol.HDL-kolesteroliArticleLDLravintoHealth risk assessment03 medical and health sciences//purl.org/becyt/ford/3.3 [https]SDG 3 - Good Health and Well-beingBlood cholesterolHumanseducationSERUM-CHOLESTEROLVLAGAgedScience & TechnologyCholesterolPublic healthOmvårdnadHuman healthVDP::Medisinske Fag: 700::Basale medisinske odontologiske og veterinærmedisinske fag: 710Bayes TheoremATHEROSCLEROSIS SOCIETYRisk factorschemistryLipid-lowering medicationsFaculdade de Ciências SociaisEast and southeast Asiaalueelliset erotInternationalityNutrition and Disease[SDV]Life Sciences [q-bio]kolesterolihumanosMyocardial IschemiaMedizinadolescenteNon-HDL cholesterolBlood lipids030204 cardiovascular system & hematologyisquemia miocárdicachemistry.chemical_compoundCholesterol epidemiologyMEDICATION USEVoeding en ZiekteMedicine and Health SciencesAdolescent; Adult; Aged; Aged 80 and over; Bayes Theorem; Cholesterol HDL; Cholesterol LDL; Female; Humans; Hypercholesterolemia; Male; Middle Aged; Myocardial Ischemia; Stroke; Triglycerides; Young Adult; Internationality030212 general & internal medicine2. Zero hungerMultidisciplinaryMortality rateRepositioningStroke/blood1. No povertyPublic Health Global Health Social Medicine and EpidemiologycolesterolMiddle AgedVDP::Medical disciplines: 700::Basic medical dental and veterinary science disciplines: 7103142 Public health care science environmental and occupational healthPeer reviewStrokeMultidisciplinary SciencesTrend analysis/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemalelipids (amino acids peptides and proteins)LIPIDSAdultAdolescentGeneral Science & TechnologyPopulationepicentre20-YEAR TRENDSYoung AdultmedicineLife Scienceddc:610accidente cerebrovascularDisease burdenTriglyceridesNutritionHigh density lipoproteinsnon-optimal cholesterolCholesterol HDLinternacionalidadCholesterol LDLTreatmentFolkhälsovetenskap global hälsa socialmedicin och epidemiologi
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Sex differences in the prevalence of Helicobacter pylori infection: an individual participant data pooled analysis (StoP Project)

2019

Background Helicobacter pylori (H. pylori) infection is more frequent among men, though the magnitude of the association might be inaccurate due to potential misclassification of lifetime infection and publication bias. Moreover, infection is common, and most studies are cross-sectional. Thus, prevalence ratios (PRs) may be easier to interpret than odds ratios (ORs). Aim The aim of this study was to quantify the association between sex and H. pylori infection using controls from 14 studies from the Stomach Cancer Pooling (StoP) Project. Participants and methods H. pylori infection was defined based on IgG serum antibody titers or multiplex serology. Participants were also classified as infe…

Gastritis AtrophicMalemedicine.medical_specialtyconsortiumRisk AssessmentHelicobacter InfectionsSerology03 medical and health sciencesSex Factors0302 clinical medicineAtrophyRisk FactorsInternal medicinePrevalencesexHumansMedicinepooled analysiSerologic TestsStomach cancerAgedHelicobacter pyloriHepatologybiologybusiness.industryStomachGastroenterologyindividual participant dataPublication biasOdds ratioMiddle AgedHelicobacter pyloribiology.organism_classificationmedicine.diseaseAntibodies BacterialConfidence intervalImmunoglobulin G030220 oncology & carcinogenesisMeta-analysisFemale030211 gastroenterology & hepatologyAtrophybusinessEuropean Journal of Gastroenterology & Hepatology
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Smoking and Helicobacter pylori infection: an individual participant pooled analysis (Stomach Cancer Pooling- StoP Project)

2019

Smoking has been associated with acquisition and increased persistence of Helicobacter pylori infection, as well as with lower effectiveness of its eradication. A greater prevalence of infection among smokers could contribute to the increased risk for gastric cancer. We aimed to estimate the association between smoking and seropositivity to H. pylori through an individual participant data pooled analysis using controls from 14 case- control studies participating in the Stomach Cancer Pooling Project. Summary odds ratios and prevalence ratios (PRs), adjusted for age, sex and social class, and the corresponding 95% confidence intervals (CIs) were estimated through random-effects meta-analysis…

AdultMaleCancer ResearchEpidemiologyPoolingserologyconsortiumRisk AssessmentsmokingHelicobacter Infections03 medical and health sciencesSex Factors0302 clinical medicineRisk FactorsStomach NeoplasmsPrevalenceTobacco SmokingmedicineHumanspooled analysi030212 general & internal medicineStomach cancerAgedSmokersHelicobacter pyloribusiness.industryAge FactorsPublic Health Environmental and Occupational HealthCase-control studyCancerindividual participant dataPublication biasOdds ratioMiddle Agedmedicine.diseaseConfidence intervalOncologyGastric MucosaCase-Control Studies030220 oncology & carcinogenesisFemalebusinessRisk assessmentDemographyEuropean Journal of Cancer Prevention
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Identifying the Profile of Helicobacter pylori–Negative Gastric Cancers: A Case-Only Analysis within the Stomach Cancer Pooling (StoP) Project

2022

Abstract Background: The prevalence of Helicobacter pylori–negative gastric cancer (HpNGC) can be as low as 1%, when infection is assessed using more sensitive tests or considering the presence of gastric atrophy. HpNGC may share a high-risk profile contributing to the occurrence of cancer in the absence of infection. We estimated the proportion of HpNGC, using different criteria to define infection status, and compared HpNGC and positive cases regarding gastric cancer risk factors. Methods: Cases from 12 studies from the Stomach cancer Pooling (StoP) Project providing data on H. pylori infection status determined by serologic test were included. HpNGC was reclassified as positive (eight st…

medicine.medical_specialtybiologyEpidemiologybusiness.industryCancerOdds ratioHelicobacter pyloribiology.organism_classificationmedicine.diseaseGastroenterologyConfidence intervalOncologyInternal medicineMedicineCagAHelicobacterFamily historybusinessStomach cancerCancer Epidemiology, Biomarkers & Prevention
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