Search results for " Socioeconomic Factors"

showing 10 items of 17 documents

Adherence to the Mediterranean diet is associated with better quality of life: data from the Osteoarthritis Initiative

2016

BACKGROUND The Mediterranean diet has positively influenced various medical conditions, but only a paucity of studies has considered the relation between the Mediterranean diet and quality of life (QOL) among people living in North America. OBJECTIVE We investigated whether a higher adherence to the Mediterranean diet (aMED) was associated with better QOL and decreased pain, stiffness, disability, and depression in a large cohort of North Americans from the Osteoarthritis Initiative. DESIGN aMED was evaluated through a validated Mediterranean diet score categorized into quintiles. Outcomes of interest were QOL [assessed with the 12-Item Short-Form Health Outcome Survey (SF-12)]; disability,…

0301 basic medicineMaleMultivariate analysisMediterranean dietCross-sectional studyMedicine (miscellaneous)MediterraneanLogistic regressionDiet MediterraneanBody Mass Index0302 clinical medicineMediterranean diet; depression; disability; pain; quality of life osteoarthritis initiativeQuality of lifeSurveys and Questionnaires030212 general & internal medicineNutrition and DieteticsCenter for Epidemiologic Studies Depression ScaleMiddle AgeddepressionFemalemedicine.medical_specialtyWOMACquality of life osteoarthritis initiativePaindepression Mediterranean diet quality of life osteoarthritis initiative pain disability03 medical and health sciencesNutritional Epidemiology and Public HealthMediterranean dietOsteoarthritismedicineHumansAged030109 nutrition & dieteticsbusiness.industryDietMediterranean diet; depression; disability; pain; quality of life osteoarthritis initiative; Aged; Body Mass Index; Cross-Sectional Studies; Energy Intake; Female; Humans; Linear Models; Logistic Models; Male; Middle Aged; Multivariate Analysis; North America; Osteoarthritis; Pain; Quality of Life; Socioeconomic Factors; Surveys and Questionnaires; Diet Mediterranean; Patient ComplianceCross-Sectional StudiesLogistic ModelsdisabilitySocioeconomic FactorsMultivariate AnalysisNorth AmericaPhysical therapyLinear ModelsQuality of LifePatient CompliancebusinessEnergy IntakeBody mass indexDemography
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Pregnancy and internet: sociodemographic and geographic differences in e-health practice. Results from an Italian multicenter study

2015

Since the new millennium, the number of e-health users has significantly increased. Among these, a particular category of people who are interested by this phenomenon is the one of pregnant women. The aim of the present study is to assess the sociodemographic and geographic differences existing in a sample of Italian pregnant women who search for information on the web.Multicenter cross-sectional survey.The present study has been conducted from November 2011 to September 2012, in seven Italian cities, located in the North, in the Centre and in the South of Italy. Data were collected through an anonymous questionnaire, administered in waiting rooms of outpatient departments by trained medica…

AdultGerontologymedicine.medical_specialtyAdolescentInformation Seeking BehaviorSocio-culturaleSample (statistics)Logistic regressionYoung AdultPregnancySurveys and QuestionnairesmedicineHumansE-Health; Geographic differences; Internet; Italy; Pregnancy; Adolescent; Adult; Cross-Sectional Studies; Female; Geography; Humans; Internet; Italy; Logistic Models; Multivariate Analysis; Pregnancy; Pregnant Women; Qualitative Research; Socioeconomic Factors; Surveys and Questionnaires; Young Adult; Consumer Health Information; Information Seeking Behavior; Public Health Environmental and Occupational Health; Medicine (all)E-Health; Geographic differences; Internet; Italy; Pregnancy;Qualitative ResearchInternetPregnancyE-Health; Geographic differences; Internet; Italy; Pregnancy; Adolescent; Adult; Cross-Sectional Studies; Female; Geography; Humans; Internet; Italy; Logistic Models; Multivariate Analysis; Pregnancy; Pregnant Women; Qualitative Research; Socioeconomic Factors; Surveys and Questionnaires; Young Adult; Consumer Health Information; Information Seeking Behavior; Public Health Environmental and Occupational HealthConsumer Health InformationGeographyHealth professionalsbusiness.industryMedicine (all)Geographic differences; Internet; Italy; Pregnancy; e-HealthGeographic differencesEnvironmental and Occupational HealthPublic Health Environmental and Occupational HealthAmbientaleGeneral Medicinemedicine.diseaseCross-Sectional StudiesLogistic ModelsE-Health; Geographic differences; Internet; Italy; Pregnancy; Public Health Environmental and Occupational HealthItalySocioeconomic FactorsMulticenter studyFamily medicineMultivariate AnalysisE-HealthFemaleResidenceThe InternetPublic HealthPregnant WomenbusinessPublic Health
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Infant mortality gap in the Baltic region - Latvia, Estonia, and Lithuania - in relation to macroeconomic factors in 1996-2010.

2013

Background and Objective. A constant gap has appeared in infant mortality among the 3 Baltic States - Latvia, Estonia, and Lithuania – since the restoration of independence in 1991. The aim of the study was to compare infant mortality rates in all the 3 Baltic countries and examine some of the macro- and socioeconomic factors associated with infant mortality. Material and Methods. The data were obtained from international databases, such as World Health Organization and EUROSTAT, and the national statistical databases of the Baltic States. The time series data sets (1996–2010) were used in the regression and correlation analysis. Results. In all the 3 Baltic States, a strong and significant…

EstoniaMaleSocioekonominiai veiksniaimedia_common.quotation_subjectGross Domestic ProductMacroeconomicsSocioeconomic factorsWorld healthSveikata / HealthLietuva (Lithuania)Economic situationKoreliacijaStatistical significanceInfant MortalityPer capitaMedicineHumansSocioeconomic statusmedia_commonSocialiniai ekonominiai veiksniaibusiness.industryInfantLithuaniaGeneral MedicineLatviaInfant mortalityCorrelationUnemploymentCorrelation analysisFemaleEkonominė analizė. Prognozavimas / Economic analysis. Forecastingbusinessinfant mortality; Baltic States; correlation; macroeconomics; socioeconomic factorsDemographyMedicina (Kaunas, Lithuania)
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National, regional, and global trends in serum total cholesterol since 1980: systematic analysis of health examination surveys and epidemiological st…

2011

Summary Background Data for trends in serum cholesterol are needed to understand the effects of its dietary, lifestyle, and pharmacological determinants; set intervention priorities; and evaluate national programmes. Previous analyses of trends in serum cholesterol were limited to a few countries, with no consistent and comparable global analysis. We estimated worldwide trends in population mean serum total cholesterol. Methods We estimated trends and their uncertainties in mean serum total cholesterol for adults 25 years and older in 199 countries and territories. We obtained data from published and unpublished health examination surveys and epidemiological studies (321 country-years and 3…

GerontologyAdultMalemedicine.medical_specialtyUncertainty intervalPopulationHypercholesterolemiaSocioeconomic FactorGlobal HealthSoutheast asiaNutrition PolicyHealth examinationbloodTotal cholesterolEpidemiologyGlobal healthMedicineHumanseducationeducation.field_of_studybusiness.industryPopulation meanBayes TheoremGeneral MedicineHealth SurveyHealth SurveysAdult Bayes Theorem Cholesterol; blood Female Health Surveys Humans Hypercholesterolemia; drug therapy Income Male Nutrition Policy Socioeconomic Factors World Healthdrug therapyCholesterolSocioeconomic FactorsWorld HealthIncomelipids (amino acids peptides and proteins)FemalebusinessDemographyHuman
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Global, regional, and national disability-adjusted life years (DALYs) for 306 diseases and injuries and healthy life expectancy (HALE) for 188 countr…

2015

Summary Background The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age–sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life-years (DALYs) and healthy life expectancy (HALE) that make possible comparative assessments of broad epidemiological patterns across countries and time. These summary measures can also be used to quantify the component of variation in epidemiology that is related to sociodemographic develo…

GerontologyMaleCHANGING RELATIONNutrition and DiseaseMESH : Life ExpectancyMESH : AgedECONOMIC-DEVELOPMENTPoison controlMESH: Global HealthGlobal HealthSocioeconomic FactorCommunicable DiseaseMESH : Chronic DiseaseHealth TransitionVoeding en ZiekteQuality-Adjusted Life YearSELF-RATED HEALTHMESH : Socioeconomic FactorsMedicineMESH : FemaleMESH: Mortality Premature2. Zero hungerMESH: Agededucation.field_of_studyMESH: Middle AgedMortality rateMedicine (all)GBD2013 diseases[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologieGeneral MedicineMiddle Aged3. Good healthMESH : Wounds and InjuriesEpidemiological transitionMESH: Quality-Adjusted Life YearsMESH: Communicable DiseasesNONCOMMUNICABLE DISEASESFemaleQuality-Adjusted Life YearsMESH: Life ExpectancyMESH: Health TransitionHumanMESH: Socioeconomic FactorsACUTE MYOCARDIAL-INFARCTIONMESH : MaleMORTALITY TRENDSPopulationMESH : Health TransitionCommunicable DiseasesArticleLife ExpectancyEUROPEAN-UNIONSDG 3 - Good Health and Well-beingGeneral & Internal MedicineSYSTEMATIC ANALYSISDisability-adjusted life yearHumansLife ScienceMESH : Middle AgedMortalityeducationPrematureMESH : Mortality PrematureVLAGAgedMESH: Humansbusiness.industryMortality PrematureMESH: Chronic DiseaseMESH : Communicable DiseasesWounds and InjurieMESH : HumansMESH : Quality-Adjusted Life YearsNon-communicable diseaseAged; Chronic Disease; Communicable Diseases; Female; Global Health; Humans; Male; Middle Aged; Mortality Premature; Quality-Adjusted Life Years; Socioeconomic Factors; Wounds and Injuries; Health Transition; Life Expectancy; Medicine (all)medicine.diseaseMESH: MaleLOW SOCIOECONOMIC-STATUSYears of potential life lostSocioeconomic Factors[SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologieMESH: Wounds and InjuriesChronic DiseaseLife expectancyRISK-FACTORSMESH : Global HealthWounds and Injuries[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologiebusinessMESH: FemaleDemographyLancet
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Very preterm birth: who has access to antenatal corticosteroid therapy?

2010

International audience; We describe the administration of antenatal corticosteroid therapy (ACT) for liveborn very preterm neonates in a population-based study. A total of 790 very preterm neonates (between 24 and 31 full weeks of gestation) were included in this regionally defined population of very preterm neonates in France. The main outcome measure was non-access to ACT. Data were analysed using logistic and polytomous models to control for neonatal and sociodemographic characteristics, mechanisms of very preterm birth and neonatal network organisation. As compared with level III, births in levels I-II maternity units were closely related to non-access to ACT (60.1% vs. 8.8%), but not t…

Gestational hypertensionPediatricsEpidemiologyMESH: Logistic ModelsHealth Services AccessibilityInfant Newborn Diseases[ SDV.CAN ] Life Sciences [q-bio]/CancerCohort Studies0302 clinical medicineMESH: PregnancyMESH : Health Services AccessibilityMESH: Risk FactorsAdrenal Cortex HormonesPregnancyRisk FactorsMESH: Maternal Health ServicesMESH : Socioeconomic FactorsMedicineChildbirthRupture of membranesMESH : FemaleMESH: Cohort StudiesMESH : Infant Newborn Diseaseseducation.field_of_studyMESH: Health Services Accessibility030219 obstetrics & reproductive medicineMESH: Middle AgedObstetricsMESH: Infant NewbornSmokingAge FactorsMiddle AgedMESH : AdultMESH : Risk Factors3. Good healthMESH : SmokingMESH : Infant PrematureMESH: Young AdultGestationFemaleFranceInfant PrematureMESH: Infant PrematureAdultmedicine.medical_specialtyMESH: SmokingMESH: Socioeconomic FactorsReferralAdolescentPopulationMESH : Young AdultMESH : Cohort StudiesMESH: Infant Newborn Diseases[SDV.CAN]Life Sciences [q-bio]/CancerMESH : Infant NewbornMESH: Adrenal Cortex HormonesMESH : Adrenal Cortex Hormones03 medical and health sciencesYoung Adult030225 pediatricsMESH : AdolescentVery Preterm BirthHumansMaternal Health ServicesMESH : Middle AgededucationMESH : FranceMESH: AdolescentMESH: Age FactorsPregnancyMESH: Humansbusiness.industryMESH : HumansInfant NewbornMESH: Adultmedicine.diseaseMESH: FranceMESH : PregnancyLogistic ModelsSocioeconomic FactorsPediatrics Perinatology and Child HealthMESH : Age FactorsbusinessMESH: FemaleMESH : Maternal Health ServicesMESH : Logistic Models
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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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Global, regional, and national mortality among young people aged 10–24 years, 1950–2019: a systematic analysis for the Global Burden of Disease Study…

2021

Background Documentation of patterns and long-term trends in mortality in young people, which reflect huge changes in demographic and social determinants of adolescent health, enables identification of global investment priorities for this age group. We aimed to analyse data on the number of deaths, years of life lost, and mortality rates by sex and age group in people aged 10–24 years in 204 countries and territories from 1950 to 2019 by use of estimates from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. Methods We report trends in estimated total numbers of deaths and mortality rate per 100 000 population in young people aged 10–24 years by age group (10–14 y…

MaleJoves -- MortalitatADOLESCENT HEALTHCHILDRENSocioeconomic FactorGlobal Burden of DiseaseRA0421Cause of DeathMedicineYoung adultChild11 Medical and Health SciencesCause of deatheducation.field_of_studyAdolescent; Age Distribution; Cause of Death; Child; Female; Global Burden of Disease; Humans; Male; Mortality; Sex Distribution; Socioeconomic Factors; Young AdultMortality ratePublic Health Global Health Social Medicine and EpidemiologyGeneral MedicineArticlesHälsovetenskaperMIDDLE-INCOMEFemaleMENTAL-HEALTHAdolescent healthINTERVENTIONSHumanSUICIDEAdolescentTotal fertility ratePopulationAdolescent HealthAdolescents -- MortalitatYoung AdultAge DistributionGeneral & Internal MedicineHealth SciencesHumansQUALITY:Medicine [Science]Social determinants of healthINCOME COUNTRIESMortalitySex Distributioneducationbusiness.industryTRENDSFolkhälsovetenskap global hälsa socialmedicin och epidemiologiYears of potential life lostSocioeconomic FactorsINJURIESbusinessDemographyLancet
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Socioeconomic inequalities in adolescent smoking across 35 countries: A multilevel analysis of the role of family, school and peers

2015

BACKGROUND: Tobacco-related heath inequalities are a major public health concern, with smoking being more prevalent among lower socioeconomic groups. The aim of this study is to investigate the mechanisms leading to socioeconomic inequalities in smoking among 15-year-old adolescents by examining the mediating role of psychosocial factors in the peer group, family and school environment.METHODS: Data were derived from the international WHO-collaborative 'Health Behaviour in School-aged Children (HBSC)' study 2005/2006, including 52 907 15-year-old students from 35 European and North American countries. Socioeconomic position was measured by the Family Affluence Scale. Multilevel logistic reg…

MaleParentssocioeconomic groupsPediatricsmedicine.medical_specialtyInequalityAdolescentmedia_common.quotation_subjecteducationHealth Behaviortobacco useAcademic achievementPeer Groupschool environmentAdolescent; Adolescent Behavior; Europe; Family; Female; Health Behavior; Humans; Male; North America; Parents; Smoking; Socioeconomic Factors; Students; Health Status Disparities; Peer Group; Schools; Public Health Environmental and Occupational HealthmedicineHumansFamilyadolescentsStudentsSocioeconomic statusmedia_commonSchoolssocioeconomic inequalitiesPublic healthMultilevel modelSmokingEnvironmental and Occupational HealthPublic Health Environmental and Occupational HealthPeer groupta3142Health Status DisparitiesEuropeSocioeconomic FactorsAdolescent BehaviorScale (social sciences)North AmericaFemalePublic HealthPsychologyPsychosocialDemography
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Seasonality of suicide: a multi-country multi-community observational study.

2020

Aims We aimed to investigate the heterogeneity of seasonal suicide patterns among multiple geographically, demographically and socioeconomically diverse populations. Methods Weekly time-series data of suicide counts for 354 communities in 12 countries during 1986–2016 were analysed. Two-stage analysis was performed. In the first stage, a generalised linear model, including cyclic splines, was used to estimate seasonal patterns of suicide for each community. In the second stage, the community-specific seasonal patterns were combined for each country using meta-regression. In addition, the community-specific seasonal patterns were regressed onto community-level socioeconomic, demographic and …

MalePeriodicityHot TemperatureEpidemiologyClimate610 Medicine & healthTrough (economics)Suicide preventionsocioeconomicSocioeconomic360 Social problems & social servicesSeasonal suicide patternsmedicineHumansSex Distribution610 Medicine & healthSocioeconomic statusseasonalityPublic Health Environmental and Occupational HealthOriginal ArticlesSeasonalitymedicine.diseaseConfidence intervalCold TemperaturePsychiatry and Mental healthSuicideGeographySocioeconomic FactorsClimate; heterogeneity; seasonality; socioeconomic; suicide; Cold Temperature; Female; Hot Temperature; Humans; Male; Periodicity; Sex Distribution; Socioeconomic Factors; Suicide; SeasonsRelative riskObservational studyFemaleSeasonsheterogeneity360 Social problems & social servicesDemographyMulti country
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