0000000000397899

AUTHOR

Ningli Wang

showing 7 related works from this author

Trends in Prevalence of Blindness and Distance and Near Vision Impairment Over 30 Years and Contribution to the Global Burden of Disease in 2020

2020

Background: The Vision Loss Expert Group and Global Burden of Disease Study have extensively updated estimates of global vision loss burden in 2020, temporal changeover 3 decades and forecasts for 2050. Methods: A systematic review and meta-analysis was conducted of population-based datasets relevant to vision impairment (VI) from January 1980 to October 2018. Hierarchical models were fitted to estimate 2020 prevalence (with 95% uncertainty intervals, UI) of (1) mild VI (presenting visual acuity [PVA] 6/12). Findings: In 2020, an estimated 43.2 million (95% UI: 37.5-48.2 million; 55% female) people were blind, 295.3 (95% UI 267.0-325.5) million had MSVI, 257.3 (95% UI 232.2-284.7) million h…

Burden of diseasemedicine.medical_specialtyeducation.field_of_studyVisual acuityBlindnessbusiness.industryPopulationGlobal visionmedicine.diseaseExpert groupNear visionEpidemiologyMedicinemedicine.symptombusinesseducationDemographySSRN Electronic Journal
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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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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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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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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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Genome-wide association meta-analysis of corneal curvature identifies novel loci and shared genetic influences across axial length and refractive err…

2020

Corneal curvature, a highly heritable trait, is a key clinical endophenotype for myopia - a major cause of visual impairment and blindness in the world. Here we present a trans-ethnic meta-analysis of corneal curvature GWAS in 44,042 individuals of Caucasian and Asian with replication in 88,218 UK Biobank data. We identified 47 loci (of which 26 are novel), with population-specific signals as well as shared signals across ethnicities. Some identified variants showed precise scaling in corneal curvature and eye elongation (i.e. axial length) to maintain eyes in emmetropia (i.e. HDAC11/FBLN2 rs2630445, RBP3 rs11204213); others exhibited association with myopia with little pleiotropic effects …

genetic structureslikinäköisyyssense organsgeneettiset tekijäteye diseases
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Rare variant analyses across multiethnic cohorts identify novel genes for refractive error

2023

Refractive error, measured here as mean spherical equivalent (SER), is a complex eye condition caused by both genetic and environmental factors. Individuals with strong positive or negative values of SER require spectacles or other approaches for vision correction. Common genetic risk factors have been identified by genome-wide association studies (GWAS), but a great part of the refractive error heritability is still missing. Some of this heritability may be explained by rare variants (minor allele frequency [MAF] ≤ 0.01.). We performed multiple gene-based association tests of mean Spherical Equivalent with rare variants in exome array data from the Consortium for Refractive Error and Myopi…

genetic predisposition to diseaseperinnölliset tauditympäristötekijättaittovirheetperinnöllisyyslääketiederiskitekijätquantitative traitperiytyvyysgenome-wide association studiesquantitative trait lociperimäsilmätauditmicroarraysperinnöllisyys
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