Search results for "COUNTRIES"

showing 10 items of 469 documents

Fruit and Vegetable Intake and Non-Communicable Diseases among Adults Aged ≥50 Years in Low- and Middle-Income Countries.

2022

Abstract Objectives The relationship between consuming ≥2 servings of fruits and ≥3 servings of vegetables a day, which has been identified as optimal for health (i.e., adequate fruit/vegetable consumption), and non-communicable diseases (NCDs) in low- and middle-income countries (LMICs) is largely unknown. Therefore, using data from six LMICs, we investigated the independent association between inadequate fruit/vegetable consumption and 12 NCDs, and estimated the prevalence of inadequate fruit/vegetable consumption among people with NCDs. Design and Setting Cross-sectional, nationally representative data from the WHO Study on global AGEing and adult health (SAGE) were analyzed. Participant…

MaleLung DiseasesNutrition and DieteticsVision DisordersMedicine (miscellaneous)DietCross-Sectional StudiesFruitVegetablesHumansFemaleGeriatrics and GerontologyNoncommunicable DiseasesDeveloping CountriesFruit and vegetable adults epidemiology low- and middle-income countries non-communicable diseaseThe journal of nutrition, healthaging
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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

Copyright © NCD Risk Factor Collaboration. Open Access article distributed under the terms of CC BY.

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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Vaccine hesitancy and refusal among parents: An international ID-IRI survey

2022

Introduction: Although vaccines are the safest and most effective means to prevent and control infectious diseases, the increasing rate of vaccine hesitancy and refusal (VHR) has become a worldwide concern. We aimed to find opinions of parents on vaccinating their children and contribute to available literature in order to support the fight against vaccine refusal by investigating the reasons for VHR on a global scale.Methodology: In this international cross-sectional multicenter study conducted by the Infectious Diseases International Research Initiative (ID-IRI), a questionnaire consisting of 20 questions was used to determine parents' attitudes towards vaccination of their children.Resul…

MaleParentsHealth Knowledge Attitudes PracticeAn international ID-IRI survey- JOURNAL OF INFECTION IN DEVELOPING COUNTRIES cilt.16 sa.6 ss.1081-1088 2022 [Cag Y. Al Madadha M. E. ANKARALI H. ÇAĞ Y. Onder K. D. Seremet-Keskin A. Kizilates F. Civljak R. Shehata G. ALAY H. et al. -Vaccine hesitancy and refusal among parents]VaccinationGeneral MedicinePatient Acceptance of Health CareMicrobiologyCommunicable DiseasesparentInfectious DiseasesCross-Sectional StudiesVirologySurveys and Questionnairesvaccine refusalHumansvaccine refusal.ParasitologyFemaleVaccination HesitancyChildVaccine hesitancy
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Prevalence and predictors of malaria in human immunodeficiency virus infected patients in beira, mozambique

2018

Co-infection between malaria and HIV has major public health implications. The aims of this study were to assess the malaria prevalence and to identify predictors of positivity to malaria Test in HIV positive patients admitted to the health center S&atilde

MalePediatricsHealth Toxicology and MutagenesisHuman immunodeficiency virus (HIV)lcsh:MedicineHIV InfectionsComorbiditymedicine.disease_causeSettore MED/42 - Igiene Generale E Applicata0302 clinical medicinecotrimoxazole prophylaxisRetrospective StudiePrevalenceHIV Infection030212 general & internal medicineYoung adultCotrimoxazole prophylaxiMozambiqueMedical attentionvirus diseasesMiddle AgedMalaria predictors in developing countrieMalaria prevalenceFemalepsychological phenomena and processesHumanAdultmedicine.medical_specialtyTuberculosis030231 tropical medicineArticleHIV-malaria co-infection03 medical and health sciencesmental disordersparasitic diseasesmedicineHumansmalaria predictors in developing countriesRetrospective StudiesCross-Sectional Studiebusiness.industryPublic healthlcsh:RPublic Health Environmental and Occupational HealthHIVmedicine.diseaseComorbidityMalariaCross-Sectional StudiesHiv patientsbusinessMalaria
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Are food intolerances and allergies increasing in immigrant children coming from developing countries ?

2006

There are not available data concerning the occurrence, the clinical features and the environmental risk factors for food intolerances and allergies in immigrant children. The aim of the study was to evaluate rates, distribution, clinical features and environmental risk factors for food intolerances and allergies in immigrant children. Hospital records of 4,130 patients with celiac disease (CD), cow milk protein intolerance (CMPI) and food allergies (FA) diagnosed in 24 Italian Centres from 1999 to 2001 were retrospectively reviewed, comparing immigrant patients with Italian ones. 78/4,130 (1.9%) patients were immigrant: 36/1,917 (1.9%) had CD, 24/1,370 (1.75%) CMPI and 18/843 (2.1%) FA. Th…

MalePediatricsmedicine.medical_specialtyAdolescentmedia_common.quotation_subjectImmunologyImmigrationPopulationEthnic groupDeveloping countryDiseaseallergieMiddle EastIntolerancesFood allergyEnvironmental healthmedicineHumansImmunology and AllergyEurope Easternfood intoleranceChildeducationDeveloping CountriesAsia SoutheasternRetrospective Studiesmedia_commoneducation.field_of_studybusiness.industryInfantfood intolerances and allergieEmigration and ImmigrationSouth Americaimmigrant childrenmedicine.diseaseFood intoleranceCeliac DiseaseCross-Sectional StudiesItalyChild PreschoolAfricaPediatrics Perinatology and Child HealthFemaleMilk HypersensitivitybusinessFood Hypersensitivity
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Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortalit…

2021

Background: Sustainable Development Goal 3.2 has targeted elimination of preventable child mortality, reduction of neonatal death to less than 12 per 1000 livebirths, and reduction of death of children younger than 5 years to less than 25 per 1000 livebirths, for each country by 2030. To understand current rates, recent trends, and potential trajectories of child mortality for the next decade, we present the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 findings for all-cause mortality and cause-specific mortality in children younger than 5 years of age, with multiple scenarios for child mortality in 2030 that include the consideration of potential effects of COVID-…

MalePerinatal careNewborn careSTILLBIRTHSRJ101UNDER-5 MORTALITYPsychological intervention010501 environmental sciencesInfant mortalityGlobal Health01 natural sciences0302 clinical medicineRA0421Cause of DeathInfant MortalityGlobal healthLife TablesHealthcare improvements030212 general & internal medicine610 Medicine & healthChildCause of Death; Child; COVID-19; Global Health; Humans; Infant; Life Tables; SARS-CoV-2; Sustainable Development11 Medical and Health SciencesCause of deathLife TableMortality rate1. No povertyPublic Health Global Health Social Medicine and EpidemiologyGeneral MedicineArticlesHälsovetenskaperSustainable DevelopmentMortality analyses3. Good healthPeer reviewChild PreschoolSDG 1 - No PovertyChild MortalityFemaleLife Sciences & BiomedicineHumanChild mortalityCOUNTRIESDEATHSInfants -- MortalitatGBD610 Medicine & health03 medical and health sciencesMedicine General & InternalSDG 3 - Good Health and Well-beingLife tablesunder-5 mortality rateGeneral & Internal MedicineHealth SciencesNeonatal deathsmedicineSYSTEMATIC ANALYSISHumans:Medicine [Science]Infants -- SalutPreschool0105 earth and related environmental sciencesScience & TechnologyInfants nadons -- Salutbusiness.industrySARS-CoV-2Infants nadons -- MortalitatINFORMInfant NewbornCOVID-19InfantNeonatal and child health ; Sustainable Development Goal 3.2 ; Global healthGBD 2019 Under-5 Mortality Collaboratorsmedicine.diseaseNewbornTRENDSInfant mortalitySustainable Development GoalChild mortalityFolkhälsovetenskap global hälsa socialmedicin och epidemiologiDeaths3121 General medicine internal medicine and other clinical medicineRGbusinessSystematic AnalysisMalariaDemography
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Association between Food Insecurity and Sarcopenia among Adults Aged ≥65 Years in Low- and Middle-Income Countries

2021

Limited literature has investigated the association between food insecurity and sarcopenia in low- and middle-income countries (LMICs). Therefore, the aim of the present study was to investigate the association between food insecurity and sarcopenia among adults aged ≥65 years in six LMICs. Community-based cross-sectional data of the Study on Global Ageing and Adult Health were analyzed. Sarcopenia was defined as the presence of low skeletal muscle mass based on indirect population formula, and either slow gait or low handgrip strength. In the past, 12-month food insecurity was assessed with two questions on frequency of eating less and hunger due to lack of food. Multivariable logistic reg…

MalePopulation030209 endocrinology & metabolismLogistic regressionArticleOddshungersarcopenia03 medical and health sciences0302 clinical medicineEnvironmental healthfood insecurityPrevalencemedicineHumansTX341-641030212 general & internal medicinelow- and middle-income countrieseducationDeveloping CountriesPovertyAgedAged 80 and over2. Zero hungereducation.field_of_studyNutrition and DieteticsHigh prevalencebusiness.industryNutrition. Foods and food supplyConfoundingLow-and middle-income countriesdigestive oral and skin physiologyMiddle Agedmedicine.disease3. Good healthFood insecuritybody regionsCross-Sectional Studiesold adults.Low and middle income countriesSmith L. Jacob L. Barnett Y. Butler L. T. Shin J. I. López-Sánchez G. F. Soysal P. Veronese N. Haro J. M. Koyanagi A. -Association between Food Insecurity and Sarcopenia among Adults Aged ≥65 Years in Low- and Middle-Income Countries.- Nutrients cilt.13 2021Sarcopenialow- and middle-income countrieold adultsFemalebusiness[SDV.AEN]Life Sciences [q-bio]/Food and Nutritionhuman activitiesFood ScienceNutrients
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Estimating global injuries morbidity and mortality

2020

Background. While there is a long history of measuring death and disability from injuries, modern research methods must account for the wide spectrum of disability that can occur in an injury, and must provide estimates with sufficient demographic, geographical and temporal detail to be useful for policy makers. The Global Burden of Disease (GBD) 2017 study used methods to provide highly detailed estimates of global injury burden that meet these criteria. Methods. In this study, we report and discuss the methods used in GBD 2017 for injury morbidity and mortality burden estimation. In summary, these methods included estimating cause-specific mortality for every cause of injury, and then est…

MalePopulations/contexts1106 Human Movement and Sports SciencesGlobal injuriespopulation030204 cardiovascular system & hematologyGlobal HealthcontextscontextGlobal Burden of Disease0302 clinical medicineQuality-Adjusted Life YearGlobal health1506030212 general & internal medicineOriginal ResearchDatapopulations/contextsIncidence (epidemiology)Incidencemethodology3142 Public health care science environmental and occupational healthPeer reviewFemalePublic HealthTERRITORIESQuality-Adjusted Life Yearsdescriptive epidemiologyHumanDisabilities195 COUNTRIESstatistical issue1117 Public Health and Health Services03 medical and health sciencesAGELife ExpectancyEnvironmental healthInjury preventionSYSTEMATIC ANALYSISstatistical issuesHumansMortalityEstimationSEX-SPECIFIC MORTALITYDISABILITYPublic Health Environmental and Occupational Healthpopulations; contexts; methodology; descriptive epidemiology; statistical issues; Female; Humans; Incidence; Life Expectancy; Male; Morbidity; Quality-Adjusted Life Years; Global Burden of Disease; Global Health; Wounds and Injuriespopulations1106 Human Movement and Sports Sciences 1117 Public Health and Health Services 1701 PsychologyQuality-adjusted life yearYears of potential life lost1701 PsychologyLife expectancyEstimatesWounds and InjuriesHuman medicineMorbiditypopulations/contextInjury prevention
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Prevalence and attributable health burden of chronic respiratory diseases, 1990–2017: a systematic analysis for the Global Burden of Disease Study 20…

2020

Artículo con numerosos autores. Sólo se hace referencia al primero que coincide con el de la UAM y al colectivo

MaleRespiratory diseasesRespiratory Tract DiseasesDiseaseChronic respiratory diseasesGlobal Burden of DiseasePulmonary Disease Chronic Obstructive0302 clinical medicineCost of Illness11. SustainabilityMETABOLIC RISKSEPIDEMIOLOGY030212 general & internal medicineChildCause of deathAged 80 and overCOPDDALYChronic obstructive pulmonary diseaseMortality rateRespiratory disease1. No povertyAge FactorsMiddle AgedDeath causes3. Good healthPREVALENCEHealth risksChild PreschoolCOMPARATIVE RISK-ASSESSMENTFemaledeath and disability worldwideQuality-Adjusted Life YearsTERRITORIESBURDENgrowth in absolute numbersPulmonary and Respiratory MedicineAdultADJUSTED LIFE-YEARSHealth burdensAdolescentMedicina195 COUNTRIESchronic respiratory diseasesArticle1117 Public Health and Health Services03 medical and health sciencesYoung AdultLife ExpectancySex FactorsBurden of Disease Respiratory diseaseSarcoidosis PulmonaryEnvironmental healthmedicineDisability-adjusted life yearHumansCOPDEXPOSURERisk factorMortalityAgedper-capita basisbusiness.industryDISABILITYInfant NewbornInfant1103 Clinical Sciencesasthmamedicine.diseaseAsthmaYears of potential life lost030228 respiratory systemRisk factors13. Climate actionSystematic analysesChronic DiseaseINJURIESHuman medicinePneumoconiosisMorbiditybusinessLung Diseases Interstitial1199 Other Medical and Health Sciences
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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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