Search results for "determinant"

showing 10 items of 377 documents

The global burden of cancer attributable to risk factors, 2010–19 : A systematic analysis for the Global Burden of Disease Study 2019

2022

Background: Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. Methods: The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 20…

MaleDEATHSDALY cancer risk factorsMedizinsystematic analysisGlobal HealthRisk AssessmentCancer preventionGlobal Burden of DiseaseRC0254Risk-attributable cancer deathsSDG 3 - Good Health and Well-beingRA0421Risk FactorsRA0421 Public health. Hygiene. Preventive MedicineQuality-Adjusted Life YearNeoplasmscancerHumansGlobal Burden of Disease StudyUKMedicine(all)MCCRC0254 Neoplasms. Tumors. Oncology (including Cancer)Risk FactorSmokingCOVID-193rd-DASGeneral MedicineDisability-adjusted life-yearsSOCIAL DETERMINANTSRisk assessmentsrisk factorCardiovascular and Metabolic Diseases3121 General medicine internal medicine and other clinical medicineOBESITYCancer burden/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingNeoplasmFemaleLIFE-STYLEQuality-Adjusted Life YearsHEALTHRAHumanRC
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Italian Deprivation Index and Dental Caries in 12-Year-Old Children: A Multilevel Bayesian Analysis

2014

Evidence from the literature has shown that people with a lower socioeconomic status enjoy less good health than people with a higher socioeconomic status. The Italian deprivation index (DI) was used with the aim to evaluate the association between the DMFT index and risk factors for dental caries, including city population and DI. The study included 4,305 12-year-old children living in 38 cities classified by demographic size as small, midsize and large. Zero-inflated negative binomial multilevel regression models were used to assess risk factors for DMFT and to address excess of zero DMFT and overdispersion through a Bayesian approach. The difference in the average level of DMFT among chi…

MaleDental Caries SusceptibilitySocial Determinants of HealthHealth BehaviorPopulationMothersOral HealthDental CariesVulnerable PopulationsSettore MED/01 - Statistica MedicaBeveragesFluoridesDental Caries SusceptibilityOverdispersionDietary SucroseRisk Factors12-year-old children Bayesian modelsCaries · Deprivation index Multilevel analysisHumansMedicineChildeducationGeneral DentistrySocioeconomic statuseducation.field_of_studyDMF Indexbusiness.industryMultilevel modelUrban HealthBayes TheoremRandom effects modelCariostatic Agentsstomatognathic diseasesCultural deprivationSocial deprivationItalySocial ClassCultural DeprivationEducational StatusFemalebusinessAttitude to HealthDemographyCaries Research
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Leisure‐time physical activity and participation in organized sports: Changes from 1985 to 2014 in Finland and Norway

2019

Participation in organized sports is a popular and important part of the lives of children and adolescents and is associated with improved psychological and social health, as well as an increased likelihood of meeting physical activity (PA) recommendations. Changes in modern society, including increased car ownership and use of technology and electronic media, have led to an additional focus on the importance of health‐enhancing PA among children and adolescents. The aim of this article was to study the secular changes in self‐reports of participation in organized sports clubs and leisure‐time vigorous physical activity (LVPA), and whether the relationship between participation in organized…

MaleGerontologyAdolescentLeisure timePhysical activityPhysical Therapy Sports Therapy and RehabilitationNorwegian030204 cardiovascular system & hematology03 medical and health sciencesLeisure Activities0302 clinical medicineSurveys and QuestionnairesHumansOrthopedics and Sports MedicineSocial determinants of healthUse of technologyChildFinlandHBSCyouthexerciseCar ownershipNorwaybusiness.industryYouth SportsOriginal Articles030229 sport sciencesElectronic medialanguage.human_languagePeer reviewtime changelanguageOriginal ArticleFemalememberSelf ReportPsychologybusinesshuman activities
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A blunted diurnal cortisol response in the lower educated does not explain educational differences in coronary heart disease: Findings from the AGES-…

2015

Lower educational attainment generally is a strong predictor of coronary heart disease (CHD). The underlying mechanisms of this effect are, however, less clear. One hypothesis is that stress related to limitations imposed by lower socioeconomic status elicits changes in hypothalamic-pituitary-adrenal axis functioning, which, in turn, increases risk of CHD. In a large cohort study, we examined whether educational attainment was related to risk of fatal and non-fatal CHD and the extent to which salivary cortisol mediated this relation independent of potential confounders, including lifestyles. Data came from 3723 participants aged 66 through 96 from the Age, Gene/Environment Susceptibility (A…

MaleGerontologyAgingSALIVARY CORTISOLHealth (social science)STRESSHydrocortisoneSocial Determinants of HealthIcelandOld agePituitary-Adrenal SystemCoronary DiseaseEducational attainmentCohort StudiesRisk FactorsMedicineSOCIOECONOMIC-STATUSMorningCause of deathAged 80 and overConfoundingta3141OLDER PERSONSAllostatic loadCircadian RhythmCoronary heart diseaseOF-THE-LITERATURECARDIOVASCULAR-DISEASEEducational Status/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemaleHypothalamo-Hypophyseal SystemEveningWHITEHALL-IIArticleHistory and Philosophy of ScienceSDG 3 - Good Health and Well-beingHumansSOCIAL INEQUALITIESALLOSTATIC LOADSalivaSocioeconomic statusAgedProportional hazards modelbusiness.industryStress responseHealth Status DisparitiesEducational attainmentRISK-FACTORSbusinessSocial Science and Medicine
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Working hours and sleep duration in midlife as determinants of health-related quality of life among older businessmen

2017

Background long working hours and short sleep duration are associated with a range of adverse health consequences. However, the combined effect of these two exposures on health-related quality of life (HRQoL) has not been investigated. Methods we studied white men born between 1919 and 1934 in the Helsinki Businessmen Study (HBS, initial n = 3,490). Data on clinical variables, self-rated health (SRH), working hours and sleep duration in 1974, and RAND-36 (SF-36) HRQoL survey in the year 2000 were available for 1,527 men. Follow-up time was 26 years. By combining working hours and sleep duration, four categories were formed: (i) normal work (≤50 hours/week) and normal sleep (>47 hours/week);…

MaleGerontologyAgingTime FactorsHealth StatusVitalityOccupational safety and healtholder peopleDisability Evaluation0302 clinical medicineQuality of lifeRisk FactorsSurveys and QuestionnairesMedicine030212 general & internal medicineProspective cohort studyFinlandSmokingAge Factorsta3142General MedicineMiddle AgedSleep in non-human animalshealth-related quality of lifeJob Descriptionworking hoursSF-36Personnel Staffing and SchedulingWorkloadWhite People03 medical and health sciencesvammaisuusSex FactorsHumansSocial determinants of healthOccupational HealthAgedbusiness.industryConfidence intervaltyöaikaikääntyminendisabilityageingLinear ModelsQuality of Lifesleep durationGeriatrics and GerontologySleepbusiness030217 neurology & neurosurgeryAge and Ageing
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Differences in Weight Status and Energy-Balance Related Behaviors among Schoolchildren across Europe: The ENERGY-Project

2012

Published version of an article published in the journal: PLoS ONE. Also available from the publisher at: http://dx.doi.org/10.1371/journal.pone.0034742 Background: Current data on the prevalence of overweight and energy-balance behaviors among European children is necessary to inform overweight prevention interventions. Methodology/Principal Findings: A school-based survey among 10–12 year old children was conducted in seven European countries using a standardized protocol. Weight, height, and waist circumference were measured; Engagement in physical activity, sedentary and dietary behaviors, and sleep duration were self-reported. Descriptive analyses were conducted, looking at differences…

MaleGerontologyBody heightEnergy balanceChild Behaviorlcsh:MedicineDETERMINANTSGlobal HealthPediatricsVDP::Medical disciplines: 700::Health sciences: 800::Nutrition: 811Body Mass Index0302 clinical medicineDESIGNSex factorsSurveys and QuestionnairesADOLESCENTSMedicine and Health SciencesPrevalence030212 general & internal medicineChildlcsh:ScienceMultidisciplinaryChild HealthSocioeconomic Aspects of Health3. Good healthEuropeYOUTHOBESITYSLEEP DURATIONEducational StatusMedicine/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemalePublic HealthWaist CircumferenceBehavioral and Social Aspects of HealthResearch ArticleEnergy (esotericism)030209 endocrinology & metabolismMotor ActivityBody weightChildhood obesity03 medical and health sciencesSex FactorsSDG 3 - Good Health and Well-beingmedicineHumansObesityMotor activitySports and Exercise MedicineWeight statusNutritionAnalysis of VarianceOVERWEIGHTPRO CHILDRENbusiness.industryBody Weightlcsh:RFeeding BehaviorOverweightmedicine.diseasePREVENTIONBody HeightDietPHYSICAL-ACTIVITYMultivariate Analysislcsh:QPreventive MedicineVDP::Medical disciplines: 700::Health sciences: 800::Community medicine Social medicine: 801businessDemographyPLoS ONE
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Genetic endowments, parental resources and adult health: Evidence from the Young Finns Study

2017

This paper uses longitudinal survey data linked to administrative registers to examine socioeconomic gradients in health, particularly whether the effects of genetic endowments interact with the socioeconomic resources of the parental household. We find that genetic risk scores contribute to adult health measured by biomarkers. This result is consistent with the findings from genome-wide association studies. Socioeconomic gradients in health differ based on biomarker and resource measures. Family education is negatively related to obesity and the waist-hip ratio, and family income is negatively related to low-density lipoprotein cholesterol and triglyceride levels. Parental resources do not…

MaleGerontologyHealth (social science)Social Determinants of HealthHealth StatusbiomarkkeritGenome-wide association studyBody Mass Index0302 clinical medicineSurveys and QuestionnairesLongitudinal Studies030212 general & internal medicine050207 economicsFinlandgenetic risk scores05 social sciencesta3142riskitekijätIncomeFemaleSportsAdultparental resourcesgenetiikkaResource (biology)Kansanterveystiede ympäristö ja työterveys - Public health care science environmental and occupational healthympäristötekijätFamily income03 medical and health sciencesHistory and Philosophy of Science0502 economics and businessFood QualitymedicineHumansSocioeconomic statussosioekonomiset tekijätTriglyceridesAdult healthGenetic associationta511business.industryta1184Cholesterol HDLadult healthbiomarkersCholesterol LDLmedicine.diseaseObesityperhetaustaSocioeconomic Factorsmarkkeritgenome-wide association studiesSurvey data collectionterveyserotbusinessGenome-Wide Association StudyDemographySocial Science & Medicine
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Longitudinal associations between cycling to school and weight status

2011

Objective. The objective of the present study was to assess the longitudinal association between cycling to school and weight status in two cities where cycling to school is common Kristiansand (Norway) and Rotterdam (The Netherlands). Methods. Data from two studies ENDORSE (Rotterdam) and YOUTH IN BALANCE (Kristiansand) were used. Both studies were longitudinal with two years between time (T) 1 and T2 measurements, and with mean age at T1 of 13.2 and 13.4 years, respectively. The sample was categorized into the following groups according to responses about main mode of commuting to school at the two time points: NO cycling, STARTED cycling, STOPPED cycling and CONTINUED cycling. Measured w…

MaleGerontologyobesityTime Factorsgenetic structuresHealth BehaviorTransportationOverweightBody Mass IndexRisk FactorsSurveys and QuestionnairesOdds RatioPrevalencelongitudinal associationsLongitudinal StudiesadolescentsChildNetherlandsSchoolsNutrition and DieteticsNorwayHealth PolicydeterminantsActive commutingFemaleHealth behaviormedicine.symptomCyclingAdolescenteducationRisk AssessmentBMISDG 3 - Good Health and Well-beingEnvironmental healthmedicineHumansactive transportStudentsWeight statusSedentary lifestylebusiness.industryBody WeightPublic Health Environmental and Occupational HealthOverweightmedicine.diseaseObesityBicyclingLogistic ModelsMulticenter studyAdolescent BehaviorPediatrics Perinatology and Child HealthSedentary BehaviorbusinessBody mass index
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Long-term determinants of changes in television viewing time in adults: Prospective analyses from the Young Finns Study

2018

Purpose The long-term effects of sociodemographic and health characteristics on television viewing (TV) time changes have not been identified in adulthood. We aimed to examine the modifiable and non-modifiable determinants of changes in TV-time in young adults over 10 years. Methods Participants (N = 2929) aged 24-39 years were recruited between 2001 and 2011 from the Cardiovascular Risk in Young Finns Study. Data were collected using questionnaires and a medical examination. The determinants of changes in TV-time were estimated using latent growth modeling for men and women separately. Results For men, inverse associations with initial levels of TV-time were observed for students becoming …

MaleHealth BehaviorPsychological interventionOverweight0302 clinical medicineajankäyttöSurveys and QuestionnairesOrthopedics and Sports Medicine030212 general & internal medicineProspective StudiesYoung adultkatselutottumuksetFinlandFamily CharacteristicsSmokingAge Factorsdeterminantsta3142aikuisuusFemaleTelevisionmedicine.symptomHealth habitsAdultEmploymentTelevision viewingTV-timeadulthoodlongitudinalPhysical Therapy Sports Therapy and RehabilitationpitkittäistutkimusTime03 medical and health sciencesYoung Adultlatent growth modelingmedicineHumansObesityExercisebusiness.industryLatent growth modelingtelevisio (joukkoviestimet)030229 sport sciencesOverweightta3121medicine.diseasetaustatekijätObesityTime changesSedentary BehaviorbusinessDemographyFollow-Up StudiesScandinavian Journal of Medicine and Science in Sports
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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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