Search results for "POVERTY"

showing 10 items of 492 documents

Perceived stress and smoking across 41 countries: A global perspective across Europe, Africa, Asia and the Americas

2017

Within recent years, there has been a seismic shift in smoking rates from high-income to low- and middle-income countries (LMICs). Evidence indicates that perceived stress may comprise a barrier for smoking cessation, but little is known about the association of perceived stress and smoking in LMICs. We conducted a cross-sectional, community-based study comprising 217,561 people [mean age 38.5 (SD = 16.1) years, 49.4% males]. A perceived stress score [range 2 (lowest-stress) 10 (highest-stress)] was computed from the Perceived Stress Scale. Multivariable logistic regression analyses were conducted. In the overall sample, a one-unit increase in perceived-stress resulted in a 5% increased odd…

GerontologyAdultMalemedicine.medical_specialtyMultivariate analysisAsiaCross-sectional studySciencemedicine.medical_treatmentDeveloping countryPerceived Stress ScaleLogistic regressionArticle03 medical and health sciences0302 clinical medicineMIDDLE-INCOME COUNTRIESmedicineHumansTOBACCO SMOKING030212 general & internal medicineProspective cohort studyDeveloping CountriesPovertyAgedHEALTH SURVEYSMultidisciplinarybusiness.industryPublic healthQRMiddle AgedEuropeCross-Sectional StudiesLogistic ModelsAfricaMultivariate AnalysisIncomeMedicineSmoking cessationFemalePerceptionSmoking CessationCIGARETTE-SMOKINGAmericasbusiness030217 neurology & neurosurgeryStress PsychologicalDemography
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Association of poverty and social exclusion with body mass index among Special Olympics athletes in Europe.

2016

Objectives To examine the association of a risk of poverty and social exclusion (AROPE), age, and gender with the body mass index (BMI) status of European Special Olympics athletes. Methods BMI records were available for 1905 children and youth and 5517 adults from the Special Olympics International (SOI) Health Promotion database. AROPE was extracted from EU Eurostat statistics. Logistic regression analyses were used to predict BMI status. Results For children/youth and adults, respectively, 9.4 and 6.3% were underweight and 25.3 and 44.6% were overweight/obese. Being underweight was significantly associated with higher AROPE rates. Being female and lower AROPE rates were significantly ass…

GerontologyMale030506 rehabilitationHealth (social science)alipainoisuusOverweightSpecial OlympicsBody Mass IndexRisk FactorsMedicinepainoindeksiChildköyhyysbiology05 social sciencesylipainoMiddle AgedEuropeSocial Isolationintellectual disabilityFemalemedicine.symptomUnderweight0305 other medical science050104 developmental & child psychologyAdultkehitysvammaisuusmedicine.medical_specialtyAdolescent03 medical and health sciencesYoung AdultThinnessIntellectual DisabilityHumans0501 psychology and cognitive sciencesSports for Persons with DisabilitiesObesityPovertyAgedPovertybusiness.industryAthletesPublic healthPublic Health Environmental and Occupational HealthsyrjäytyminenOverweightbiology.organism_classificationHealth promotionAthletesSocial exclusionbusinessBody mass indexDemographyInternational journal of public health
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Multimorbidity and perceived stress: a population-based cross-sectional study among older adults across six low- and middle-income countries

2018

BACKGROUND:\ud Stress in chronic conditions or multimorbidity (≥2 chronic conditions) has been reported to affect clinical outcomes but there are no studies on the association between stress and chronic conditions/multimorbidity among older adults in low- and middle-income countries (LMICs). Thus, we investigated this association among adults aged ≥50 years across six LMICs.\ud \ud METHODS:\ud A cross-sectional analysis using data from the World Health Organization's Study on Global Ageing and Adult Health (China, Ghana, India, Mexico, Russia, South Africa) was conducted. A perceived stress score [range 0 (lowest stress) -100 (highest stress)] was computed based on two questions from the Pe…

GerontologyMaleCross-sectional studyPsychological interventionPerceived Stress ScaleGlobal HealthGhanaRussiachronic diseasesSouth Africastress0302 clinical medicineStress (linguistics)Prevalence030212 general & internal medicinelow- and middle-income countriesStrokeDepression (differential diagnoses)older adultsAged 80 and overPsychiatryLow- and middle-income countriesDepressionObstetrics and GynecologyMiddle AgedpsychiatryOlder adultschronic diseases; low- and middle-income countries; multimorbidity; older adults; psychiatry; stressFemaleChinamultimorbidityBFIndiaAffect (psychology)StressGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesmedicineHumansBackground StreDeveloping CountriesMexicoPovertyAgedbusiness.industryMultimorbiditymedicine.diseaseCross-Sectional StudiesAgeingChronic diseasesChronic DiseasePerceptionbusiness030217 neurology & neurosurgeryStress PsychologicalDemography
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Prevalence and Risk Factors for Vitamin C Deficiency in North and South India: A Two Centre Population Based Study in People Aged 60 Years and Over

2011

BackgroundStudies from the UK and North America have reported vitamin C deficiency in around 1 in 5 men and 1 in 9 women in low income groups. There are few data on vitamin C deficiency in resource poor countries.ObjectivesTo investigate the prevalence of vitamin C deficiency in India.DesignWe carried out a population-based cross-sectional survey in two areas of north and south India. Randomly sampled clusters were enumerated to identify people aged 60 and over. Participants (75% response rate) were interviewed for tobacco, alcohol, cooking fuel use, 24 hour diet recall and underwent anthropometry and blood collection. Vitamin C was measured using an enzyme-based assay in plasma stabilized …

GerontologyMaleNon-Clinical Medicine030309 nutrition & dieteticsCross-sectional studyEpidemiologyPrevalencelcsh:MedicineAscorbic Acid0302 clinical medicineRisk FactorsPrevalence030212 general & internal medicinePoisson DistributionGeriatric Ophthalmologylcsh:ScienceMedicine(all)2. Zero hunger0303 health scienceseducation.field_of_studyMultidisciplinaryAgricultural and Biological Sciences(all)Anthropometry1. No povertyEpidemiology of AgingVitaminsMiddle Aged3. Good healthMedicineFemalePublic HealthSeasons/dk/atira/pure/subjectarea/asjc/2700Research ArticleClinical Research DesignPopulationIndia/dk/atira/pure/subjectarea/asjc/130003 medical and health sciencesEnvironmental health/dk/atira/pure/subjectarea/asjc/1100medicineHumansAscorbic Acid DeficiencyeducationBiologyNutritionAgedElderly CareHealth Care PolicyVitamin CPopulation BiologyBiochemistry Genetics and Molecular Biology(all)business.industrylcsh:RMalnutritionHealth Risk AnalysisAnthropometrymedicine.diseaseAscorbic acidMalnutritionOphthalmologyCross-Sectional StudiesGeriatricsMultivariate AnalysisAscorbic Acid Deficiencylcsh:QbusinessPLoS ONE
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Handgrip strength and depression among 34,129 adults aged 50 years and older in six low- and middle-income countries

2019

Introduction: Handgrip strength is a simple and inexpensive marker of health and mortality risk. It presents an ideal risk-stratifying method for use in low and middle-income countries (LMICs). There are, however, no population-based studies investigating the associations between handgrip strength and depression in LMICs. We aimed to assess these associations among community-dwelling middle-aged and older adults using nationally representative data from six LMICs. Method: Cross-sectional data on individuals aged ≥ 50 years from the World Health Organization's Study on Global Ageing and Adult Health were analyzed. Depression was based on the Composite International Diagnostic Interview. Weak…

GerontologyMalePsychological interventionPhysical strengthGhanaRussiaSouth Africa0302 clinical medicine*Hand grip strengthPrevalenceMedicineDepression (differential diagnoses)*Older adultseducation.field_of_studyMuscle WeaknessHand StrengthDepressionAge FactorsMiddle AgedPredictive valuePsychiatry and Mental healthClinical PsychologyHealthOlder adultsIncomeFemaleMental health*Mental healthAdultChinaAdolescentPopulationIndia*HealthHandgrip strengthOdds03 medical and health sciencesmarker of health and mortality riskYoung AdultSex FactorsHand grip strengthHumanseducationMexicoPovertyAgedbusiness.industry*DepressionMental health030227 psychiatryCross-Sectional StudiesLow and middle income countriesbusinesshuman activities030217 neurology & neurosurgery
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2016

Summary Background Healthy life expectancy (HALE) and disability-adjusted life-years (DALYs) provide summary measures of health across geographies and time that can inform assessments of epidemiological patterns and health system performance, help to prioritise investments in research and development, and monitor progress toward the Sustainable Development Goals (SDGs). We aimed to provide updated HALE and DALYs for geographies worldwide and evaluate how disease burden changes with development. Methods We used results from the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015) for all-cause mortality, cause-specific mortality, and non-fatal disease burden to derive …

GerontologySense organbusiness.industry1. No povertyGeneral Medicine3. Good health03 medical and health sciencesEpidemiological transition0302 clinical medicineYears of potential life lostGlobal healthCompression of morbidityLife expectancyMedicineDisability-adjusted life year030212 general & internal medicinebusiness030217 neurology & neurosurgeryDisease burdenDemographyThe Lancet
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Oral health and medical conditions among Amish children

2017

Background: The Amish are a growing population who live a traditional, rural way of life, which makes them less accepting of modernism. Most Amish live in poverty and are detached from modern health care. In addition, the recent change of their lifestyle has been reported, such as consuming a nontraditional diet and the usage of electronic devices. As a result, their lifestyle change may have impacted their oral health. However, since only a single report about oral health among Amish children has been published approximately three decades ago it has not yet been updated. This study describes oral health among Amish children and their medical conditions during visits to a mobile dental unit…

Gerontologyeducation.field_of_studyPovertyDecayed teethbusiness.industryResearchPopulationMEDLINE030204 cardiovascular system & hematologyOral health:CIENCIAS MÉDICAS [UNESCO]Dental careCommunity and Preventive Dentistry03 medical and health sciencesstomatognathic diseases0302 clinical medicine030225 pediatricsLifestyle changeUNESCO::CIENCIAS MÉDICASHealth careMedicinebusinesseducationGeneral DentistryJournal of Clinical and Experimental Dentistry
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2017

Summary Background National levels of personal health-care access and quality can be approximated by measuring mortality rates from causes that should not be fatal in the presence of effective medical care (ie, amenable mortality). Previous analyses of mortality amenable to health care only focused on high-income countries and faced several methodological challenges. In the present analysis, we use the highly standardised cause of death and risk factor estimates generated through the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) to improve and expand the quantification of personal health-care access and quality for 195 countries and territories from 1990 to 2015. Methods…

Gerontologymedicine.medical_specialtyIndex (economics)business.industryMortality ratePublic health1. No povertyGeneral Medicine030204 cardiovascular system & hematologyPer capita income3. Good health03 medical and health sciences0302 clinical medicineScale (social sciences)Health careGlobal healthmedicineLife expectancy030212 general & internal medicinebusinessDemographyThe Lancet
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2017

Abstract Background The burden of cardiovascular diseases (CVDs) remains unclear in many regions of the world. Objectives The GBD (Global Burden of Disease) 2015 study integrated data on disease incidence, prevalence, and mortality to produce consistent, up-to-date estimates for cardiovascular burden. Methods CVD mortality was estimated from vital registration and verbal autopsy data. CVD prevalence was estimated using modeling software and data from health surveys, prospective cohorts, health system administrative data, and registries. Years lived with disability (YLD) were estimated by multiplying prevalence by disability weights. Years of life lost (YLL) were estimated by multiplying age…

Gerontologymedicine.medical_specialtybusiness.industryMortality rate1. No povertyDisease030204 cardiovascular system & hematologyVerbal autopsy3. Good health03 medical and health sciences0302 clinical medicineYears of potential life lostEnvironmental healthEpidemiologyGlobal healthmedicineLife expectancy030212 general & internal medicineCardiology and Cardiovascular MedicinebusinessCause of deathJournal of the American College of Cardiology
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2017

Summary Background As mortality rates decline, life expectancy increases, and populations age, non-fatal outcomes of diseases and injuries are becoming a larger component of the global burden of disease. The Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) provides a comprehensive assessment of prevalence, incidence, and years lived with disability (YLDs) for 328 causes in 195 countries and territories from 1990 to 2016. Methods We estimated prevalence and incidence for 328 diseases and injuries and 2982 sequelae, their non-fatal consequences. We used DisMod-MR 2.1, a Bayesian meta-regression tool, as the main method of estimation, ensuring consistency between inc…

Gerontologymedicine.medical_specialtybusiness.industryMortality rateIncidence (epidemiology)1. No povertyPrevalenceGeneral Medicinemedicine.diseaseComorbidity3. Good health03 medical and health sciences0302 clinical medicineEpidemiologyGlobal healthmedicineLife expectancy030212 general & internal medicine10. No inequalitybusiness030217 neurology & neurosurgeryDepression (differential diagnoses)DemographyThe Lancet
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