Search results for " countries"

showing 10 items of 449 documents

The association between diabetes and cataract among 42,469 community-dwelling adults in six low- and middle-income countries

2018

Background: Cataract is a major cause of visual impairment in people with diabetes, yet a paucity of data is available in low- and middle-income countries (LMICs) on this comorbidity. Thus we assessed the association between diabetes and cataract in 6 LMICs. Methods: Cross-sectional, community-based data from the Study on Global Ageing and Adult Health (SAGE) was analyzed (n = 42,469 aged ≥18 years). Five years information on self-reported diagnosis of cataract was collected. Three definitions for cataract were used: (a) Self-reported diagnosis and/or past 12-month symptoms; (b) Solely self-reported diagnosis; and (c) Surgical treatment for cataract in the past five years. Diabetes was base…

AdultMalePediatricsmedicine.medical_specialtyEndocrinology Diabetes and MetabolismVisual impairment030209 endocrinology & metabolismcataract diabetesLogistic regressionCataractDiabetes Complications03 medical and health sciences0302 clinical medicineEndocrinologyQuality of lifeDiabetes mellitusCommunity-basedInternal MedicinemedicineHumans030212 general & internal medicineSurgical treatmentPovertyLow- and middle-income countriesbusiness.industryDiabetesTreatment optionsGeneral Medicinemedicine.diseaseComorbidityCross-Sectional StudiesSocial ClassLow and middle income countriesQuality of LifeFemaleIndependent Livingmedicine.symptombusinessDiabetes Research and Clinical Practice
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Sibship size, birth order and psychotic experiences: Evidence from 43 low- and middle-income countries.

2018

Background: Sibship size and birth order may be contributing factors to the multifactorial etiology of psychosis. Specifically, several studies have shown that sibship size and birth order are associated with schizophrenia. However, there are no studies on their association with psychotic experiences (PE). Methods: Cross-sectional, community-based data from 43 low- and middle-income countries which participated in the World Health Survey were analyzed. The Composite International Diagnostic Interview was used to identify four types of past 12-month PE. The association of sibship size and birth order with PE was assessed with multivariable logistic regression. Results: The final sample consi…

AdultMalePsychosisCross-sectional study*Sibship sizePopulationDeveloping countrySibship size03 medical and health sciences0302 clinical medicineRisk FactorsPsychotic experiencemedicinePrevalenceHumansRisk factoreducationDeveloping CountriesBiological Psychiatry*Psychotic experienceeducation.field_of_studySiblingsmedicine.disease030227 psychiatry*Birth order*Risk factorPsychiatry and Mental healthBirth orderCross-Sectional StudiesPsychotic DisordersSocioeconomic FactorsSchizophreniaEtiologyFemaleRisk factorBirth Order030217 neurology & neurosurgeryDemography
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Prevalence of visual problems in a rural population of Kenya

2012

AdultMaleRural PopulationVision DisordersVisual AcuityGeneral MedicineRefraction OcularKenyaOphthalmologyGeographyPrevalenceHumansFemaleSocioeconomicsDeveloping CountriesRural populationVisually Impaired PersonsActa Ophthalmologica
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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 cities1,2. This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity3,4,5,6. 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—w…

AdultMaleRural Populationobesityalueelliset erotAdolescentUrban PopulationEpidemiologyGeographic MappingNutritional Statusbody mass indexRural HealthBody Mass IndexYoung AdultSex FactorsmaaseutuväestöHumansoverweightObesityrural populationddc:610painoindeksiDeveloping CountriesAgedAged 80 and overDeveloped CountriesAge FactorsUrban HealthPublic Health Global Health Social Medicine and EpidemiologyylipainoriskitekijätMiddle AgedFolkhälsovetenskap global hälsa socialmedicin och epidemiologiRisk factorslihavuusFemaleDiet Healthy610 Medizin und Gesundheitregional differences
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Association between physical multimorbidity and sleep problems in 46 low- and middle-income countries

2022

BACKGROUND: Little is known about the association between multimorbidity (i.e., two or more chronic conditions) and sleep problems in the general adult populations of low- and middle-income countries (LMICs). Thus, we aimed to assess this association among adults from 46 LMICs, and to quantify the extent to which anxiety, depression, stress, and pain explain this association. METHODS: Cross-sectional, predominantly nationally representative, community-based data from the World Health Survey were analyzed. Nine chronic physical conditions (angina, arthritis, asthma, chronic back pain, diabetes, edentulism, hearing problems, tuberculosis, visual impairment) were assessed. To be included in th…

AdultMaleSleep Wake DisordersLow- and middle-income countriesAdolescentEpidemiologyPainObstetrics and GynecologyMultimorbiditySleep disordersSleep problemsGeneral Biochemistry Genetics and Molecular BiologyCross-Sectional StudiesChronic DiseasePrevalenceHumansFemaleDeveloping Countries
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Depression, sleep problems, and perceived stress among informal caregivers in 58 low-, middle-, and high-income countries: A cross-sectional analysis…

2018

Caregiving has been associated with adverse health outcomes. However, there is a paucity of multi-country, population-based studies on mental health outcomes of caregivers especially from low- and middle-income countries (LMICs). Thus, we assessed the association of caregiving with depression, sleep problems, and perceived stress in 10 high-, 27 middle-, and 21 low-income countries. Cross-sectional community-based data of the World Health Survey including 258,793 adults aged ≥18 years were analyzed. Multivariable logistic and linear regression analyses were conducted to explore the association of past 12-month caregiving with past 12-month DSM-IV depression, and past 30-day perceived stress…

AdultMaleSleep Wake Disordersmedicine.medical_specialtyAdolescentCross-sectional studyPopulationPsychological interventionStresssleep problem03 medical and health sciencesYoung Adult0302 clinical medicineEnvironmental healthstreSurveys and QuestionnairesStress (linguistics)Journal ArticlemedicinePrevalenceHumans030212 general & internal medicinePsychiatryeducationDeveloping CountriesBiological PsychiatryDepression (differential diagnoses)Agededucation.field_of_studyCaregiving; Depression; Sleep; StressDepressionDeveloped CountriesConfoundingMiddle AgedMental healthSleep in non-human animalsPsychiatry and Mental healthCross-Sectional StudiesCaregiversCaregivingRegression AnalysisFemalePerceptionPsychologySleep030217 neurology & neurosurgeryStress PsychologicalJournal of psychiatric research
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Pain and severe sleep disturbance in the general population: Primary data and meta-analysis from 240,820 people across 45 low- and middle-income coun…

2018

Objective:\ud Pain and sleep disturbances are widespread, and are an important cause of a reduced quality of life. Despite this, there is a paucity of multinational population data assessing the association between pain and sleep problems, particularly among low- and middle-income countries (LMICs). Therefore, we investigated the relationship between pain and severe sleep disturbance across 45 LMICs.\ud \ud Method: \ud Community-based data on 240,820 people recruited via the World Health Survey were analyzed. Multivariable logistic regression analyses adjusted for multiple confounders were performed to quantify the association between pain and severe sleep problems in the last 30 days. A me…

AdultMaleSleep Wake Disordersmedicine.medical_specialtySleep Pain Sleep disturbance Psychiatry Low- and middle-income countries*Low- and middle-income countriesPopulationSleep disturbancePainSleep Wake DisordersComorbidityAnxietyGlobal Health03 medical and health sciences*Sleep0302 clinical medicine*PainmedicineInsomniaHumans030212 general & internal medicineeducationDeveloping CountriesDepression (differential diagnoses)Psychiatryeducation.field_of_studySleep disorderLow- and middle-income countriesbusiness.industryDepressionLow- and middle-income countries; Pain; Psychiatry; Sleep; Sleep disturbance; Psychiatry and Mental HealthOdds ratio*Sleep disturbanceMiddle Agedmedicine.diseaseComorbidityHealth SurveysPsychiatry and Mental healthRC0321Physical therapyAnxiety*PsychiatryFemalemedicine.symptomSleepbusiness030217 neurology & neurosurgeryStress PsychologicalGeneral hospital psychiatry
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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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Depression and pain: primary data and meta-analysis among 237 952 people across 47 low- and middle-income countries

2017

BackgroundDepression and pain are leading causes of global disability. However, there is a paucity of multinational population data assessing the association between depression and pain, particularly among low- and middle-income countries (LMICs) where both are common. Therefore, we investigated this association across 47 LMICs.MethodsCommunity-based data on 273 952 individuals from 47 LMICs were analysed. Multivariable logistic and linear regression analyses were performed to assess the association between the International Classification of Diseases, 10th Revision depression/depression subtypes (over the past 12 months) and pain in the previous 30 days based on self-reported data. Country…

AdultMalemedicine.medical_specialtyAdolescentComorbidityAnxietyLogistic regressionGlobal HealthSeverity of Illness IndexComorbidity; depression; depressive symptoms; pain; Applied Psychology; Psychiatry and Mental HealthAngina03 medical and health sciencesYoung Adult0302 clinical medicinedepressive symptomsInternal medicinePrevalenceMedicineHumanspainPsychiatrydepressive symptomDeveloping CountriesApplied PsychologyDepression (differential diagnoses)AgedAged 80 and overDepressive Disorderbusiness.industryPain scaleOdds ratioMiddle Agedmedicine.diseaseHealth SurveysConfidence interval030227 psychiatryPsychiatry and Mental healthMeta-analysisChronic DiseasedepressionAnxietyFemalemedicine.symptombusinessComorbidity depression depressive symptoms pain030217 neurology & neurosurgery
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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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