Search results for "Economic Factors"

showing 10 items of 411 documents

Malnutrition in elderly: Social and economic determinants

2013

Abstract: Malnutrition occurs frequently in the frailest groups of the population, especially in people who are on a low income and elderly subjects, overall if they are institutionalized. The aim of this study was to assess the prevalence of malnutrition in a sample of elderly people living in different settings and to identify the determinants of malnutrition. Methods: A total of 718 subjects, 472 females (F) and 246 males (M), were recruited from nursing homes or were free living in three different regions in Italy. Nutritional status, depression, social, functional and cognitive status, were evaluated. Results: According to the Mini Nutritional Assessment (MNA), a high prevalence of mal…

Low incomeGerontologyMaleSettore MED/09 - Medicina InternapovertyMalnutrition elderly poverty.PopulationNutritional StatusMedicine (miscellaneous)Guidelines as TopicelderlyGeriatric populationRisk Factorspoverty; elderly; malnutrition80 and overPrevalenceElderly peopleMedicineHumanseducationGeriatric AssessmentDepression (differential diagnoses)AgedAged 80 and overeducation.field_of_studyNutrition and Dieteticsbusiness.industryMalnutritionNutritional statuselderly; Malnutrition; poverty; Aged; Aged 80 and over; Female; Geriatric Assessment; Guidelines as Topic; Humans; Italy; Male; Malnutrition; Nursing Homes; Nutrition Assessment; Nutritional Status; Prevalence; Risk Factors; Socioeconomic Factors; Medicine (miscellaneous); Nutrition and Dietetics; Geriatrics and Gerontologymedicine.diseaseNursing HomesMalnutritionNutrition AssessmentItalySocioeconomic FactorsFemaleGeriatrics and GerontologybusinessNursing homes
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Women's preferences for men's facial masculinity are strongest under favorable ecological conditions

2019

AbstractThe strength of sexual selection on secondary sexual traits varies depending on prevailing economic and ecological conditions. In humans, cross-cultural evidence suggests women’s preferences for men’s testosterone dependent masculine facial traits are stronger under conditions where health is compromised, male mortality rates are higher and economic development is higher. Here we use a sample of 4483 exclusively heterosexual women from 34 countries and employ mixed effects modelling to test how social, ecological and economic variables predict women’s facial masculinity preferences. We report women’s preferences for more masculine looking men are stronger in countries with higher so…

Male0301 basic medicineAttractivenessFacial masculinityOffspringlcsh:MedicineEcological and Environmental Phenomena[SHS.PSY]Humanities and Social Sciences/PsychologyPhysical strengthChoice BehaviorArticle03 medical and health sciences0302 clinical medicine5. Gender equalityHumansCross-culturallcsh:ScienceHeterosexualityMasculinityCultural CharacteristicsMultidisciplinaryEcologylcsh:RHuman development (humanity)Sexual dimorphism030104 developmental biologySocioeconomic FactorsFacePhysical Appearance BodySexual selectionlcsh:QFemalePsychology030217 neurology & neurosurgery
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Gender as a Modifying Factor Influencing Myotonic Dystrophy Type 1 Phenotype Severity and Mortality: A Nationwide Multiple Databases Cross-Sectional …

2016

International audience; BACKGROUND: Myotonic Dystrophy type 1 (DM1) is one of the most heterogeneous hereditary disease in terms of age of onset, clinical manifestations, and severity, challenging both medical management and clinical trials. The CTG expansion size is the main factor determining the age of onset although no factor can finely predict phenotype and prognosis. Differences between males and females have not been specifically reported. Our aim is to study gender impact on DM1 phenotype and severity.METHODS: We first performed cross-sectional analysis of main multiorgan clinical parameters in 1409 adult DM1 patients (\textgreater18y) from the DM-Scope nationwide registry and obser…

Male0301 basic medicineDatabases FactualPhysiologyCross-sectional studyMyotonic dystrophylcsh:MedicineDiseasecomputer.software_genreinfo:eu-repo/classification/mesh/Socioeconomic FactorsLaryngologyinfo:eu-repo/classification/mesh/Myotonic Dystrophy/epidemiology*0302 clinical medicineMedicine and Health SciencesEthnicitiesMedicineinfo:eu-repo/classification/mesh/FemaleFrench Peoplelcsh:Scienceinfo:eu-repo/classification/mesh/Adulteducation.field_of_studyMultidisciplinaryinfo:eu-repo/classification/mesh/Factual*Death ratesDatabaseCognitive NeurologyMortality rateDysphagia3. Good healthPhenotypeCognitive impairmentNeurologyPhysiological ParametersFemaleinfo:eu-repo/classification/mesh/Databasesinfo:eu-repo/classification/mesh/MaleResearch ArticleAdultMaternal inheritanceCognitive NeurosciencePopulation[SDV.GEN.GH] Life Sciences [q-bio]/Genetics/Human geneticsMyotonic dystrophy03 medical and health sciencesPopulation MetricsAdultsHumansObesitySex DistributioneducationDemographyinfo:eu-repo/classification/mesh/Cross-Sectional StudiesPopulation BiologyCataractsbusiness.industrylcsh:RBody WeightBiology and Life Sciencesmedicine.diseaseMyotoniaThyroid disorderinfo:eu-repo/classification/mesh/Sex DistributionHealth CareOphthalmologyCross-Sectional Studies030104 developmental biologyOtorhinolaryngologySocioeconomic Factors[SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human geneticsAge Groups[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologieLens DisordersPeople and Placesinfo:eu-repo/classification/mesh/Myotonic Dystrophy/mortalityCognitive Sciencelcsh:QPopulation Groupings[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieHealth StatisticsMorbidityAge of onsetbusinessinfo:eu-repo/classification/mesh/Phenotype*computerinfo:eu-repo/classification/mesh/Humans030217 neurology & neurosurgeryNeurosciencePLOS ONE
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Family History of Premature Coronary Artery Disease (P-CAD)—A Non-Modifiable Risk Factor? Dietary Patterns of Young Healthy Offspring of P-CAD Patien…

2018

Dietary habits of healthy offspring with a positive family history of premature coronary artery disease (P-CAD) have not been studied so far. The aim of this study was twofold: (1) to identify dietary patterns in a sample of young healthy adults with (cases) and without (controls) family history of P-CAD, and (2) to study the association between dietary patterns and family history of P-CAD. The data came from the MAGNETIC case-control study. The participants were healthy adults aged 18&ndash

Male0301 basic medicineEpidemiologyCoronary Artery Disease030204 cardiovascular system & hematologyLogistic regression0302 clinical medicineRisk FactorsOdds RatioMedicineFamily historypremature coronary artery diseasefamily historyPCANutrition and DieteticsPremature coronary artery diseaseP-CADFemalelcsh:Nutrition. Foods and food supplyAdultAdolescentOffspringdietary patternslcsh:TX341-641Diet SurveysModels BiologicalArticleYoung Adult03 medical and health sciencesSex FactorsHumansFamilyRisk factorExercise030109 nutrition & dieteticsbusiness.industryCase-control studyFeeding BehaviorOdds ratioConfidence intervalDietCross-Sectional StudiesLogistic ModelsSocioeconomic FactorsP-CACase-Control StudiesFFQ-6businessFood ScienceDemographyNutrients
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Role of anthropometric factors, self-perception, and diet on weight misperception among young adolescents: a cross-sectional study

2018

Adolescence overweight and obesity have increased considerably, and the misperception of their weight status could reduce the efficiency of intervention programs. The aim of this study was to evaluate the prevalence rate of misperception and to assess the relationship between weight perception and anthropometric parameters, self-perception, physical activity, and adherence to the Mediterranean diet. A total of 1643 young adolescents (11–16 years old) were surveyed in a cross-sectional investigation during two scholastic years (period October–May of 2012–2013 and 2013–2014) in 15 secondary schools of Sicily, southern Italy. Data on demographic information, anthropometric characteristics (bio…

Male0301 basic medicinemedicine.medical_specialtyMediterranean dietAdolescentCross-sectional studyBody satisfactionWeight PerceptionOverweightBody Mass Index03 medical and health sciencesBMIWeight perceptionsBody ImagemedicineHumansObesitySettore MED/49 - Scienze Tecniche Dietetiche ApplicateChildLife StyleSocioeconomic status030109 nutrition & dieteticsAnthropometrybusiness.industryBody WeightAnthropometrymedicine.diseaseObesitySelf ConceptPhysical activity levelDietPsychiatry and Mental healthClinical PsychologyCross-Sectional StudiesSocioeconomic FactorsBody CompositionPhysical therapyKIDMEDFemalemedicine.symptombusinessDemography
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Treated Incidence of Psychotic Disorders in the Multinational EU-GEI Study

2018

Importance: Psychotic disorders contribute significantly to the global disease burden, yet the latest international incidence study of psychotic disorders was conducted in the 1980s. Objectives: To estimate the incidence of psychotic disorders using comparable methods across 17 catchment areas in 6 countries and to examine the variance between catchment areas by putative environmental risk factors. Design, Setting, and Participants: An international multisite incidence study (the European Network of National Schizophrenia Networks Studying Gene-Environment Interactions) was conducted from May 1, 2010, to April 1, 2015, among 2774 individuals from England (2 catchment areas), France (3 catch…

Male2.3 Psychological social and economic factorsSYMPTOMS[SDV.NEU.NB]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Neurobiologyenvironmental risk factorsCatchment Area HealthRisk FactorsSCHIZOPHRENIADEPRIVATIONComputingMilieux_MISCELLANEOUShealth care economics and organizationsMinority Groups44 Human SocietyOriginal InvestigationNetherlands2 AetiologyOUTCOMES[SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behaviorpsychotic disorders; international multisite incidence study; EU-GEI Study; environmental risk factorsIncidenceAge Factors[SDV.NEU.SC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Cognitive SciencesMental HealthEnglandItalyPsychiatry and Mental Health4206 Public Healthpopulation characteristicsFemaleFrancegeographic locationsBrazilAdultCross-Cultural ComparisonURBANICITYeducationAGESex Factorsparasitic diseasesHumans1ST-EPISODE PSYCHOSISRATESNOTTINGHAMinternational multisite incidence studyMETAANALYSISPublishingEU-GEI Study[SCCO.NEUR]Cognitive science/NeurosciencePrevention42 Health SciencesPsychotic DisordersSpainGene-Environment Interaction
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Mapping disparities in education across low- and middle-income countries

2020

Educational attainment is an important social determinant of maternal, newborn, and child health1–3. As a tool for promoting gender equity, it has gained increasing traction in popular media, international aid strategies, and global agenda-setting4–6. The global health agenda is increasingly focused on evidence of precision public health, which illustrates the subnational distribution of disease and illness7,8; however, an agenda focused on future equity must integrate comparable evidence on the distribution of social determinants of health9–11. Here we expand on the available precision SDG evidence by estimating the subnational distribution of educational attainment, including the proporti…

MaleATTAINMENTHealth StatusDiseaseeducation; low- and middle-income countries0302 clinical medicineWORLDgenderGlobal healthrisk factors030212 general & internal medicineAetiology10. No inequalitymedia_commonDeveloping worldPediatricMultidisciplinaryR1. No povertyMultidisciplinary SciencesGeographyScience & Technology - Other TopicsFemaleHEALTHdeveloping worldsocial and economic factorsEngineering sciences. TechnologydisparitieAFRICAmedicine.medical_specialty330InequalityGeneral Science & Technologymedia_common.quotation_subjectMODELSDeveloping countryLocal Burden of Disease Educational Attainment CollaboratorsArticleHealthcare improvement science Radboud Institute for Health Sciences [Radboudumc 18]Education03 medical and health sciences2.3 PsychologicalmedicineHumansSocietySocial determinants of healthDeveloping CountriesScience & TechnologyEquity (economics)MORTALITYPublic healthBayes TheoremEducational attainment3141 Health care sciencesocietyGood Health and Well BeingRisk factorsSocioeconomic FactorsDemographic economics030217 neurology & neurosurgery
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Author Correction: Binge Drinking among adolescents is related to the development of Alcohol Use Disorders: results from a Cross-Sectional Study

2018

Binge drinking (BD) is a common pattern of alcohol consumption among adolescents. At present few data are available on the possible relationship between BD and alcohol use disorders (AUD) in adolescents. The aim of this study was to assess the prevalence of BD and relationship between BD behavior and AUD among adolescents. A total of 2704 students attending 10 purposively selected high schools from three Italian provinces were surveyed. Questionnaires regarding socio-demographic data, pattern and amount of alcohol intake, smoking habits, use of illicit drugs, and physical activity were administered. AUD and affective disorders were also evaluated. Alcohol intake was reported by 2126 partici…

MaleAdolescentAlcohol DrinkingCross-sectional studylcsh:MedicineBinge drinkingAlcoholBinge DrinkingYoung Adult03 medical and health scienceschemistry.chemical_compound0302 clinical medicineSurveys and QuestionnairesEnvironmental healthPrevalenceHumanslcsh:ScienceAuthor CorrectionStudentsSchoolsMultidisciplinaryEthanollcsh:R030227 psychiatryAlcoholismCross-Sectional StudiesItalySocioeconomic FactorschemistryComputingMethodologies_DOCUMENTANDTEXTPROCESSINGlcsh:QFemalePsychology030217 neurology & neurosurgeryScientific Reports
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Prevalence of cytomegalovirus infection in Italy

1991

SUMMARYBetween 1987 and 1989, the prevalence of antibody to cytomegalovirus (CMV) was determined, by the ELISA method, in serum samples from 1494 apparently healthy subjects, 3–18 years old. Subjects were selected by a systematic cluster sampling from five geographical areas in Italy. The overall prevalence of antibody was 64·2%, increasing from 54·4% in 4–6-year-olds to 73·3% in subjects 17–18 years old (P < 0·01). Prevalence of antibody was significantly higher in females (P < 0·05) and in subjects residing in the South of Italy (P < 0·01). A significant association was found with sociodemographic factors. Subjects belonging to a household with six or more persons had a 1·5-fold …

MaleAdolescentEpidemiologyCongenital cytomegalovirus infectionCytomegalovirusEnzyme-Linked Immunosorbent AssayAntibodies Viralmedicine.disease_causeHerpesviridaeSex FactorsBetaherpesvirinaePrevalenceHumansMedicineChildFetal infectionbiologybusiness.industryAge FactorsArticlesmedicine.diseasebiology.organism_classificationSerum samplesCytomegalovirus infectionInfectious DiseasesItalySocioeconomic FactorsEl NiñoChild PreschoolCytomegalovirus InfectionsImmunologybiology.proteinFemaleAntibodybusinessDemographyEpidemiology and Infection
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Socio-demographic factors as correlates of active commuting to school in Rotterdam, the Netherlands

2008

Objective. Report frequencies of adolescents' active commuting to school in an inner city environment in the Netherlands, and to explore potential socio-demographic correlates of active commuting to school. Methods. Cross-sectional data were obtained from the ENDORSE study (2005-2006) including 1361 adolescents (response=82%), aged 12-15 from 16 schools in Rotterdam. Socio-demographic variables were assessed by questionnaire. height and weight were measured and distance to school was calculated based on route planner information. Multilevel logistic regressions were performed to analyze the data. Results. The proportions of participants categorized as walkers, cyclists, non-active commuters…

MaleAdolescentUrban PopulationEpidemiologyCross-sectional studyHealth BehaviorEthnic groupPoison controlTransportationWalkingLogistic regressionWhite PeopleOccupational safety and healthSurveys and QuestionnairesInjury preventionHumansMedicineChildNetherlandsbusiness.industryPublic Health Environmental and Occupational HealthHuman factors and ergonomicsOverweightBicyclingCross-Sectional StudiesLogistic ModelsSocioeconomic FactorsAdolescent BehaviorFemalebusinessAdolescent healthDemographyPreventive Medicine
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