Search results for "INCOME COUNTRIES"

showing 10 items of 67 documents

Sedentary behaviour and sleep problems among 42,489 community-dwelling adults in six low- and middle-income countries

2018

There is a lack of multinational research investigating the association between sleep problems and sedentary behaviour. In this study, we investigated the relationship between the time spent sedentary during waking hours and sleep problems in six low- and middle-income countries. Cross-sectional, community-based data from the Study on Global Ageing and Adult Health survey were analysed. Adjusted logistic regression analyses were undertaken to explore the relationship between self-reported sleep problems (such as difficulties falling asleep, waking up frequently during the night or waking up too early in the morning) in the last 30 days and self-reported sedentary time (categorized as <4,…

AdultMaleSleep Wake DisordersobesityAdolescentCognitive NeuroscienceinsomniaMotor ActivityLogistic regressionSitting03 medical and health sciencesBehavioral NeuroscienceYoung Adult0302 clinical medicineInsomniaMedicineHumans030212 general & internal medicinelow- and middle-income countriesPovertyDepression (differential diagnoses)MorningAgedbusiness.industryDepressionsittingGeneral MedicineMiddle Agedmedicine.diseaseObesityMental healthHealth SurveysConfidence intervalCross-Sectional StudiesFemaleIndependent LivingSelf Reportmedicine.symptomSedentary Behaviorbusiness030217 neurology & neurosurgeryDemography
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Physical activity and depression: a large cross-sectional, population-based study across 36 low- and middle-income countries

2016

Objective: Physical activity (PA) is good for health, yet several small-scale studies have suggested that depression is associated with low PA. A paucity of nationally representative studies investigating this relationship exists, particularly in low- and middle-income countries (LMICs). This study explored the global association of PA with depression and its mediating factors. Method: Participants from 36 LMICs from the World Health Survey were included. Multivariable logistic regression analyses were undertaken exploring the relationship between PA and depression. Results: Across 178 867 people (mean ± SD age = 36.2 ± 13.5 years; 49.9% male), the prevalence of depression and the prevalenc…

AdultMalemedicine.medical_specialtyMediation (statistics)AdolescentPhysical activity (PA)Physical activityphysical activityGlobal HealthLogistic regressionWorld healthOddsYoung Adult03 medical and health sciences0302 clinical medicinePrevalencemedicineHumansnationally representative studies depression030212 general & internal medicinePsychiatryDeveloping CountriesDepression (differential diagnoses)Agedexercisedepression; exercise; major depression; physical activityMiddle AgedHealth Surveysdepression exercise major depression physical activity030227 psychiatryPopulation based studyPsychiatry and Mental healthCross-Sectional StudiesLow and middle income countriesdepressionIncomeFemalePsychologymajor depressionDemography
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Depression and physical health multimorbidity: primary data and country-wide meta-analysis of population data from 190 593 people across 43 low- and …

2017

BackgroundDespite the known heightened risk and burden of various somatic diseases in people with depression, very little is known about physical health multimorbidity (i.e. two or more physical health co-morbidities) in individuals with depression. This study explored physical health multimorbidity in people with clinical depression, subsyndromal depression and brief depressive episode across 43 low- and middle-income countries (LMICs).MethodCross-sectional, community-based data on 190 593 individuals from 43 LMICs recruited via the World Health Survey were analysed. Multivariable logistic regression analysis was done to assess the association between depression and physical multimorbidity…

AdultMalemedicine.medical_specialtymultimorbidityKey words DepressionAdolescentHealth StatusLogistic regressionGlobal HealthOdds03 medical and health sciencesYoung Adult0302 clinical medicinemedicineGlobal healthHumanslow- and middle-income countries030212 general & internal medicineSomatization disorderPsychiatryDeveloping CountriesApplied PsychologyDepression (differential diagnoses)AgedDepression low- and middle-income countries multimorbidity physical health psychiatryDepressive Disorderbusiness.industryDepressionMultimorbidityOdds ratioMiddle Agedmedicine.diseaseComorbiditypsychiatryPsychiatry and Mental healthCross-Sectional StudiesMeta-analysisFemalebusinessKey words Depression; low- and middle-income countries; multimorbidity; physical health; psychiatry; Applied Psychology; Psychiatry and Mental Healthphysical health030217 neurology & neurosurgeryDemographyPsychological medicine
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Perceived Stress and Its Relationship with Chronic Medical Conditions and Multimorbidity among 229,293 Community-Dwelling Adults in 44 Low- and Middl…

2017

In this study, we assessed the association of chronic medical conditions and multimorbidity with perceived stress among community-dwelling adults in 44 low- and middle-income countries. Data from the World Health Survey (2002-2004), including 229,293 adults, were analyzed. A perceived stress score (range, 0 (lowest stress)-100 (highest stress)) was computed on the basis of 2 questions from the Perceived Stress Scale. Eleven chronic conditions were assessed.Multivariable linear regression analyses were conducted to explore the associations. All chronic conditions were associated with significantly higher mean perceived stress scores, with the exception of edentulism. The associations were pa…

AdultMalemultimorbidityEpidemiologyCross-sectional studypovertyPerceived Stress ScaleComorbidityGlobal Healthchronic conditionYoung Adult03 medical and health sciences0302 clinical medicinechronic conditions low- and middle-income countries multimorbidity perceived stress povertymedicineHumans030212 general & internal medicineYoung adultDepression (differential diagnoses)AgedAsthmaAged 80 and overEdentulismbusiness.industryMental DisordersMiddle Agedmedicine.diseaseHealth SurveysComorbidityConfidence intervalCross-Sectional StudiesSocioeconomic Factorsperceived strelow- and middle-income countrieChronic DiseaseIncomeFemalebusinessStress Psychological030217 neurology & neurosurgeryDemography
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Physical Multimorbidity and Sarcopenia among Adults Aged ≥65 Years in Low- and Middle-Income Countries.

2022

<b><i>Introduction:</i></b> Physical multimorbidity is plausibly linked to sarcopenia. However, to date, only a few studies exist on this topic, and none have examined this association in low- and middle-income countries (LMICs). Thus, we aimed to investigate the association between multimorbidity and sarcopenia in a sample of older adults from six LMICs (China, Ghana, India, Mexico, Russia, South Africa). <b><i>Methods:</i></b> Cross-sectional, community-based data from the WHO Study on Global Ageing and Adult Health (SAGE) were analysed. Sarcopenia was defined as having low skeletal muscle mass (SMM) and weak handgrip strength, while severe …

AgingEpidemiology Low- and middle-income countries Multi-country Multimorbidity Older adults SarcopeniaGeriatrics and GerontologyGerontology
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Department of Error

2018

Reiner RC Jr, Hay SI. Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000–17: analysis for the Global Burden of Disease Study 2017. Lancet 2020; 395: 1779–801—In this Article, the author byline has been amended to Local Burden of Disease Diarrhoea Collaborators. This correction has been made to the online version as of June 4, 2020, and the printed version is correct. © 2020 Elsevier Ltd

Burden of disease030219 obstetrics & reproductive medicinebusiness.industryLow income and middle income countriesGeneral MedicineSpecific mortality030204 cardiovascular system & hematologyArticle3. Good health03 medical and health sciencesGeography0302 clinical medicineEnvironmental healthMedicine030212 general & internal medicineGeographical inequalitiesbusinessDemographyThe Lancet
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The Economic Burden of Child Maltreatment in High Income Countries.

2015

Maltreatment is a common cause of children’s functional and emotional impairment. Costs for the society are high, as a substantial amount of resources have been allocated for various types of services connected to maltreatment of children. These include acute treatment, long-termcare, family rehabilitation programs, and judiciary activities.There is a long-lasting debate on how child abuse could be prevented or reduced. How can the costs of related services be contained? What is the role of pediatricians in such efforts? This article raises these important questions within the framework of the debate opened by the article by Gerber-Grote et al regarding the role of health economics in impro…

Child abuseMEDLINEPoison controlglobal healthSuicide preventionOccupational safety and healthEnvironmental healthInjury preventionmedicineMALTREATMENTHumansChild AbuseChild maltreatment; global health; income countriesChildChild maltreatmentbusiness.industryDeveloped CountriesHuman factors and ergonomicsmedicine.diseaseSettore MED/38 - PEDIATRIA GENERALE E SPECIALISTICAincome countriesPediatrics Perinatology and Child HealthIncomeMedical emergencybusinessDeveloped countryThe Journal of pediatrics
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Is loneliness associated with mild cognitive impairment in low- and middle-income countries?

2021

Background: Loneliness may be a risk factor for mild cognitive impairment but studies on this topic are scarce, particularly from low- and middle-income countries (LMICs). Therefore, the aim of the present study was to investigate the association between loneliness and mild cognitive impairment (MCI) in six LMICs (China, Ghana, India, Mexico, Russia and South Africa). Methods: Cross-sectional, community-based, nationally representative data from the WHO Study on global AGEing and adult health (SAGE) were analyzed. The definition of MCI was based on the National Institute on Ageing-Alzheimer's Association criteria. Multivariable logistic regression analysis and meta-analysis were conducted t…

ChinaLogistic regression*multi-countryOdds*loneliness03 medical and health sciences0302 clinical medicinemild cognitive impairmentMESH: Aged; China/epidemiology; Cognitive Dysfunction/epidemiology; Cross-Sectional Studies; Developing Countries; Humans; Loneliness; Middle Aged; PrevalencemedicinePrevalencelonelinessDementiaHumansCognitive Dysfunctionlow- and middle-income countriesRisk factorCognitive impairmentDeveloping CountriesAgedmulti-country030214 geriatricsbusiness.industryLonelinessMiddle Agedmedicine.disease*low- and middle-income countriesConfidence interval3. Good healthPsychiatry and Mental healthCross-Sectional Studies*mild cognitive impairmentLow and middle income countriesloneliness low- and middle-income countries mild cognitive impairment multi-country[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieGeriatrics and Gerontologymedicine.symptombusinessDemography
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COVID-19, an opportunity for developing countries?

2020

The COVID-19 outbreak was declared by the World Health Organization (WHO) as global pandemic in March 2020. Considering the necessity to implement rapid response to control the pandemic and the fragility and the state of need of low income countries, it will be mandatory to develop a global approach in order to reduce the spread of infection and the creation of community viral reservoirs. So far, we could hypothesize a worst case scenario in which when the COVID-19 outbreak hits a peak in Africa and in low-income countries, the majority of such countries will be unprepared, with low resources allocated for affording the viral emergency and the consequences will be catastrophic with no lesso…

Coronavirus disease 2019 (COVID-19)coronavirusDeveloping countryWorst-case scenarioDisease Outbreaks03 medical and health sciences0302 clinical medicinecoronavirus infectionsOrder (exchange)Development economicsPandemicHumanslow-and lower-middle-income countries030212 general & internal medicineDeveloping CountriesHealth policySARS-CoV-2030503 health policy & serviceslcsh:Public aspects of medicineHealth PolicyIncidencePublic Health Environmental and Occupational Healthcoronavirus infections low-and lower-middle-income countries perspective Africa COVID-19 Developing Countries Disease Outbreaks Humans Incidence Public Health SARS-CoV-2 South America Health PolicyOutbreakCOVID-19lcsh:RA1-1270South AmericaScale (social sciences)AfricaPerspectiveBusinessPublic Health0305 other medical science
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Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000-17.

2020

Background: Universal access to safe drinking water and sanitation facilities is an essential human right, recognised in the Sustainable Development Goals as crucial for preventing disease and improving human wellbeing. Comprehensive, high-resolution estimates are important to inform progress towards achieving this goal. We aimed to produce highresolution geospatial estimates of access to drinking water and sanitation facilities. Methods: We used a Bayesian geostatistical model and data from 600 sources across more than 88 low-income and middle-income countries (LMICs) to estimate access to drinking water and sanitation facilities on continuous continent-wide surfaces from 2000 to 2017, and…

Drinking water accessSanitationUniversal designGeographic MappingSocioeconomic FactorDISEASE0302 clinical medicineRA0421Hygiene11. SustainabilityGlobal health030212 general & internal medicineSanitationmedia_common2. Zero hungerPublic healthlcsh:Public aspects of medicine1. No povertyGeneral Medicine3142 Public health care science environmental and occupational health6. Clean waterLow-income countries3. Good healthA990 Medicine and Dentistry not elsewhere classifiedCHILD GROWTHTERRITORIESHYGIENEHuman0605 MicrobiologyDiarrheaAFRICAmedicine.medical_specialtymedia_common.quotation_subject030231 tropical medicineLocal Burden of Disease WaSH CollaboratorsDeveloping countryArticleGeographical inequalities1117 Public Health and Health Services12. Responsible consumptionDeveloping Countrie03 medical and health sciencesNUTRITIONAL INTERVENTIONSEnvironmental healthmedicineSYSTEMATIC ANALYSISHumansQUALITYSanitation/statistics & numerical dataOpen defecationImproved sanitationhand washingDeveloping CountriesModels StatisticalMiddle-income countriesDrinking WaterPublic healthlcsh:RA1-1270Bayes TheoremGLOBAL BURDENdiarrheal diseaseDIARRHEADiarrhea/epidemiologyLocal Burden of Disease WaSH CollaboratorSocioeconomic Factors0605 Microbiology 1117 Public Health and Health ServicesITC-ISI-JOURNAL-ARTICLEBusinessHuman medicineSanitation facilitiesITC-GOLD
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