0000000000091659

AUTHOR

Nor Azmi Kamaruddin

showing 4 related works from this author

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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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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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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