Search results for "Poverty"

showing 10 items of 492 documents

Physical multimorbidity and psychosis: comprehensive cross sectional analysis including 242,952 people across 48 low- and middle-income countries.

2016

BACKGROUND: In people with psychosis, physical comorbidities, including cardiovascular and metabolic diseases, are highly prevalent and leading contributors to the premature mortality encountered. However, little is known about physical health multimorbidity in this population or in people with subclinical psychosis and in low- and middle-income countries (LMICs). This study explores physical health multimorbidity patterns among people with psychosis or subclinical psychosis. METHODS: Overall, data from 242,952 individuals from 48 LMICs, recruited via the World Health Survey, were included in this cross-sectional study. Participants were subdivided into those (1) with a lifetime diagnosis o…

MaleInternationalityCross-sectional studyComorbidityMetabolism Multimorbidity Physical health Psychosis Psychotic experiencesGlobal HealthLogistic regressionnot known0302 clinical medicinePrevalencepsychosisSubclinical infectionPsychosisPhysical healthMultimorbidityPsychotic experiencesMetabolismmetabolismmultimorbidityphysical healthpsychosispsychotic experiencesMedicine(all)Principal Component Analysiseducation.field_of_studyGeneral MedicineMiddle AgedCardiovascular DiseasesFemalemedicine.symptomAdultPsychosismedicine.medical_specialtyAdolescentmultimorbidityVisual impairmentPopulationPhysical healthYoung Adult03 medical and health sciencesMetabolic DiseasesmedicineHumansPsychotic experiencesPsychiatryeducationPovertyAgedbusiness.industryPublic healthMultimorbidityPsychosismedicine.diseaseHealth SurveysComorbidity030227 psychiatryCross-Sectional StudiesMetabolismPsychotic DisordersChronic Diseasebusiness030217 neurology & neurosurgery
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Co-morbidity of malnutrition with falciparum malaria parasitaemia among children under the aged 6–59 months in Somalia: a geostatistical analysis

2018

Background Malnutrition and malaria are both significant causes of morbidity and mortality in African children. However, the extent of their spatial comorbidity remains unexplored and an understanding of their spatial correlation structure would inform improvement of integrated interventions. We aimed to determine the spatial correlation between both wasting and low mid upper arm circumference (MUAC) and falciparum malaria among Somalian children aged 6–59 months. Methods Data were from 49 227 children living in 888 villages between 2007 to 2010. We developed a Bayesian geostatistical shared component model in order to determine the common spatial distributions of wasting and falciparum mal…

MaleL700Low-MUACCross-sectional studyRJ101ComorbidityParasitemia01 natural sciences010104 statistics & probability0302 clinical medicine030212 general & internal medicineMalaria FalciparumWasting2. Zero hungerlcsh:Public aspects of medicineG3001. No povertyGeneral Medicine3. Good healthInfectious DiseasesChild PreschoolFemalemedicine.symptomResearch Articlemedicine.medical_specialtySomaliaNutritional Statuslcsh:Infectious and parasitic diseases03 medical and health sciencesEnvironmental healthparasitic diseasesmedicineHumanslcsh:RC109-2160101 mathematicsbusiness.industryPublic healthMalnutritionPublic Health Environmental and Occupational HealthInfantBayes Theoremlcsh:RA1-1270medicine.diseaseComorbidityWastingMalariaB900MalnutritionCross-Sectional StudiesRelative riskTropical medicinebusinessMalariaInfectious Diseases of Poverty
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Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study …

2020

Publisher's version (útgefin grein)

MaleLife expectancyDisability-Adjusted Life YearDiseasesDiseasecommunicable diseasesystematic analysisGlobal Burden of Disease0302 clinical medicine80 and overMedicine10. No inequalityChild11 Medical and Health SciencesinjuriesAged 80 and overeducation.field_of_studySjúkdómarDEMENTIAFALLSGeneral MedicineForvarnir3. Good healthChild PreschoolHumanGBDPopulation health03 medical and health sciencesSDG 3 - Good Health and Well-beingHumansGlobal Burden of Disease StudyeducationAgedSpatial AnalysisGlobal burdenDisabilityPreventionDISABILITYInfantSpatial AnalysiMortality rateGlobal Burden of Disease Diseases Injuries Systematic analysisPREVENTIONYears of potential life lostRisk factorsDisease studyGBD; communicable disease; injuries;ITC-ISI-JOURNAL-ARTICLELife expectancyRISK-FACTORSClinical MedicineRADemographyFötlunDánartíðniÁhættuþættir030204 cardiovascular system & hematologyRisk FactorsCause of DeathGlobal health030212 general & internal medicineMortality ratePopulation health1. No povertyDisability-Adjusted Life YearsPublic Health Global Health Social Medicine and EpidemiologyMiddle Aged3142 Public health care science environmental and occupational healthAdolescent; Adult; Age Distribution; Aged; Aged 80 and over; Cause of Death; Child; Child Preschool; Disability-Adjusted Life Years; Female; Global Burden of Disease; Humans; Infant; Infant Newborn; Male; Middle Aged; Risk Factors; Spatial Analysis; Young Adult/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingLýðheilsaFemaleCLINICAL-TRIALSAdultAdolescentPopulationGlobal healthSettore MED/01 - Statistica MedicadiseasesITC-HYBRIDYoung AdultHeilbrigðisvísindiAge DistributionGeneral & Internal MedicineMortalityPreschoolDisease burdenbusiness.industryRisk FactorKlinisk medicinInfant NewbornNewborn//purl.org/pe-repo/ocde/ford#3.02.00 [https]Folkhälsovetenskap global hälsa socialmedicin och epidemiologiÁverkarSystematic analysisNAbusiness
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Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017

2020

Artículo con numerosos autores, sólo se mencionan el primero, los de la UAM y grupo colectivo

MaleLocal patternsDouble burdenBörnResearch & Experimental MedicineSjúkdómseinkenniDOUBLE BURDENChildhood overweightLífefnafræðiLæknisfræði0302 clinical medicineSyndemicChild11 Medical and Health Sciencesunder 5 years of ageGeneral Medicine3. Good healthGeographyMedicine Research & ExperimentalChild PreschoolIncomeGROWTHAFRICAmedicine.medical_specialtyBiochemistry & Molecular BiologyRJMedicinaImmunologyeducationMODELSwa_395General Biochemistry Genetics and Molecular BiologyArticleG03 medical and health sciencesHumansAuthor CorrectionDeveloping CountriesPovertyBiologyLBD Double Burden of Malnutrition CollaboratorsDemographyScience & TechnologyWasting SyndromePublic healthMORTALITYInfantNæringarskorturmedicine.diseaseObesityTRENDSsigns and symptomsSocial ClassRisk factorsSameindalíffræðiITC-ISI-JOURNAL-ARTICLEUNDERNUTRITIONHuman medicineClinical Medicine030217 neurology & neurosurgeryPediatric ObesityobesityOffitaÁhættuþættirGeographic MappingOverweightRA0421Global healthrisk factors030212 general & internal medicineSigns and symptomsWastingMalnutrition Global Burden of Diseases Global Nutrition low- and middle-income countries2. Zero hungerPublic health1. No povertyPublic Health Global Health Social Medicine and EpidemiologyA900 Others in Medicine and DentistryChildhood wastingPREVALENCEChemistryMappingFemaleLýðheilsamedicine.symptomLife Sciences & BiomedicineGROWTH FAILURENutritional StatusmalnutritionITC-HYBRIDws_115childrenEnvironmental healthmedicineErfðafræðiObesitywd_200MalnutritionInfant NewbornKlinisk medicinCell BiologyOverweightMalnutritionFolkhälsovetenskap global hälsa socialmedicin och epidemiologi3121 General medicine internal medicine and other clinical medicineNA
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Antisocial and human capital pathways to socioeconomic exclusion: A 42-year prospective study.

2017

Nordic welfare states have been very successful at reducing poverty and inequality among their citizens. However, the presence of a strong social safety net in these countries has not solved the problem of socioeconomic exclusion, manifesting in such outcomes as chronic unemployment and welfare dependency. In an effort to understand this phenomenon, the current study builds on the assumption that psychological risk factors emerge as important determinants of socioeconomic disadvantage in an environment where ascribed characteristics have less impact on educational and occupational attainment. Using data from Finland, this research examined a life course model linking childhood differences i…

MaleLongitudinal studyAginglongitudinal researchunderprivileged social positionIndividualityPoison controlNeuropsychological TestsDevelopmental psychologyCohort StudiesWelfare dependencyRisk FactorsDevelopmental and Educational Psychologysosiaalinen pääomata515Finlandmedia_commonAcademic Successdeviant behaviour05 social sciencessocial exclusionAge Factors050301 educationAntisocial Personality DisorderMiddle AgedLife course approachFemalePsychology050104 developmental & child psychologycourse of lifemedia_common.quotation_subjectpitkittäistutkimusModels PsychologicalSocial classelämänkaarisosioekonominen asemasocioeconomic statushuono-osaisuusPersonalityHumans0501 psychology and cognitive sciencesCognitive skillLife-span and Life-course StudiesSocioeconomic statusPovertyDemographyProblem BehaviorsyrjäytyminenSocial ClassUnemploymentta5141social capitalpoikkeava käyttäytyminen0503 educationDevelopmental psychology
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Persistent offenders and adolescence-limited offenders: Differences in life-courses.

2020

Background and Aims As our previous study indicated, almost half of juvenile delinquents continued offending in adulthood, while the rest ceased to do so. We compared these groups with each other and with non‐offenders in the life‐course use of alcohol, identity development and life situation. Methods Based on the Jyväskylä Longitudinal Study of Personality and Social Development, four groups were formed at age 42 for men and women: persistent, adolescence‐limited and adult‐onset offenders and non‐offenders. Longitudinal data (N = 369; 53% males) have been collected at ages 8, 14, 20, 27, 36, 42 and 50. Results Persistent offending, but not adolescence‐limited offending, was associated with…

MaleLongitudinal studynuorisorikollisuusPersonality AssessmentRecurrenceJuvenile delinquencyMedicineLongitudinal StudiesChildidentitymedia_commonoffenderself‐control05 social sciencesGeneral MedicineSelf-controlAntisocial Personality DisorderMiddle AgedPsychiatry and Mental healthWorkforceJuvenile DelinquencyLife course approachFemalePsychology (miscellaneous)Crimealkoholinkäyttölife‐course050104 developmental & child psychologyPersonalityAdultAdolescentmedia_common.quotation_subjectkeski-ikädrinking behavioursosiaalinen identiteettirikoksentekijätViolenceelämänkaariPathology and Forensic MedicineYoung AdultPersonalityHumans0501 psychology and cognitive sciencesmiddle age0505 lawPovertybusiness.industryCriminalsMiddle ageongelmakäyttäytyminen050501 criminologynuoruusbusinessDemographyCriminal behaviour and mental health : CBMHREFERENCES
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The unobserved pattern of material hardship and health among older Americans

2019

This paper investigates the relationship between self-reported health and material hardship among older Americans. Differently from income-based measures, material hardship provides a more specific description of the concrete adversities faced by the elderly. We have used the last six waves of the Health and Retirement Study to explore the relative contributions of state dependence, unobserved heterogeneity and time-specific shocks on reporting poor health, experiencing food insecurity and medication cutbacks. We have used a Latent Markov model to estimate a multivariate non-linear system of equations for panel data allowing time-varying unobserved heterogeneity. Our results reveal a high s…

MaleMultivariate statisticsHealth StatusSelf-assessed healthMarkov modelFood Supply03 medical and health sciencesLatent Markov model0502 economics and businessEconomicsHumansState dependence050207 economicsPovertyhealth care economics and organizationsAgedMaterial hardshipModels Statistical030503 health policy & servicesHealth Policy05 social sciencesPublic Health Environmental and Occupational HealthHealth and Retirement StudyMarkov ChainsUnited StatesFood insecuritySocioeconomic FactorsSettore SECS-P/03 - Scienza Delle FinanzeFemaleDemographic economics0305 other medical sciencehuman activitiesTrajectoriePanel dataJournal of Health Economics
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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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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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