Search results for "Smoking"

showing 10 items of 641 documents

The influence of smoking status on exhaled breath profiles in asthma and COPD patients

2021

Breath analysis using eNose technology can be used to discriminate between asthma and COPD patients, but it remains unclear whether results are influenced by smoking status. We aim to study whether eNose can discriminate between ever- vs. never-smokers and smoking &lt

MaleCopd patientsPharmaceutical ScienceeNoseAnalytical ChemistryPulmonary Disease Chronic Obstructive0302 clinical medicineDrug DiscoveryElectronic Nose0303 health sciencesCOPDConfoundingfood and beveragesMiddle AgedBreath Testsexhaled breathChemistry (miscellaneous)ExhalationMolecular MedicineSmoking statusFemaleAdultmedicine.medical_specialtySmoking habitPulmonary diseaseSettore MED/10 - Malattie Dell'Apparato RespiratorioArticlesmokinglcsh:QD241-44103 medical and health scienceslcsh:Organic chemistryInternal medicinemedicineHumansCOPDPhysical and Theoretical Chemistry030304 developmental biologyAsthmaVolatile Organic Compoundsbusiness.industryfungiOrganic Chemistryasthmamedicine.diseaserespiratory tract diseasesCross-Sectional Studies030228 respiratory systemBreath gas analysisROC CurveAsthma COPD eNose Exhaled breath SmokingCase-Control Studiesbusiness
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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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The use of national administrative data to describe the spatial distribution of in-hospital mortality following stroke in France, 2008-2011.

2016

International audience; Background: In the context of implementing the National Stroke Plan in France, a spatial approach was used to measure inequalities in this disease. Using the national PMSI-MCO databases, we analyzed the in-hospital prevalence of stroke and established a map of in-hospital mortality rates with regard to the socio-demographic structure of the country.Methods: The principal characteristics of patients identified according to ICD10 codes relative to stroke (in accordance with earlier validation work) were studied. A map of standardized mortality rates at the level of PMSI geographic codes was established. An exploratory analysis (principal component analysis followed by …

MaleDatabases FactualBusiness Management and Accounting(all)Health informatics0302 clinical medicineEpidemiology030212 general & internal medicineHospital MortalityStrokeAged 80 and overGeographyMortality rategbd 2013Middle Aged3. Good healthStrokeIn-hospital mortalityFemaleFranceComputer Science(all)trendsAdultmedicine.medical_specialtyGeneral Computer ScienceHealth geographyunited-statesprevalenceMEDLINEContext (language use)03 medical and health sciences[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathologymedicineHumanscareAgedDemographydiseasebusiness.industrycigarette-smokingPublic healthResearchglobal burdenPublic Health Environmental and Occupational HealthPMSImedicine.diseaseyoung-adultsGeneral Business Management and Accountingtransient ischemic attackbusiness030217 neurology & neurosurgery[SDV.MHEP]Life Sciences [q-bio]/Human health and pathologyDemographyInternational journal of health geographics
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Ideal cardiovascular health at age 5–6 years and cardiometabolic outcomes in preadolescence

2021

AbstractBackgroundThe American Heart Association (AHA) developed a definition of ideal cardiovascular health (ICH) based on the presence of both ideal health behaviours (diet, physical activity, weight status and smoking) and ideal health factors (glucose, total cholesterol and blood pressure levels). However, research of ICH in the paediatric population is scarce. We aimed to study ICH at age 5–6 years by extending the original ICH score with the health behaviours: sleep duration, screen time and prenatal smoke exposure, and to evaluate its association with cardiometabolic outcomes at age 11–12.MethodsA total of 1666 children aged 5–6 years were selected from the database of the ABCD-study…

MaleEpidemiologyHealth BehaviorMedicine (miscellaneous)Child BehaviorBlood Pressure030204 cardiovascular system & hematologyCardiovascular SystemCarotid Intima-Media ThicknessBody Mass Index0302 clinical medicineRisk FactorsEpidemiologyMedicineMass index030212 general & internal medicineProspective StudiesProspective cohort studyChildlcsh:RC620-627ChildrenNetherlandsNutrition and Dieteticslcsh:Public aspects of medicineSmokingLipidslcsh:Nutritional diseases. Deficiency diseasesCardiovascular DiseasesChild PreschoolFemalemedicine.medical_specialtyCardiovascular healthPhysical Therapy Sports Therapy and RehabilitationClinical nutrition03 medical and health sciencesScreen timeHealth behavioursInternal medicineIdeal cardiovascular healthHumanscardiovascular diseasesExercisePreadolescencebusiness.industryResearchlcsh:RA1-1270Cardiovascular riskDietBlood pressurebusinessThe International Journal of Behavioral Nutrition and Physical Activity
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Trends of incidence and survival in squamous-cell carcinoma of the anal canal in France: a population-based study.

2016

IF 2.415; International audience; Data on anal cancer epidemiology are rare. The aim of this study was to report on trends of incidence and survival for anal cancer in France before the implementation of the human papilloma virus vaccine. This analysis was carried out on 1150 squamous-cell carcinomas of the anal canal diagnosed from 1989 to 2004 in a population of 5.7 million people covered by eight population-based cancer registries. Time trends in incidence were modeled using an age-period-cohort model. Net survival rates were obtained using the recently validated unbiased Pohar-Perme estimator. The incidence of squamous-cell carcinoma of the anal canal increased from 0.2 to 0.5/100 000 p…

MaleEpidemiologyMESH : Aged[ SDV.CAN ] Life Sciences [q-bio]/CancerMESH: Anus NeoplasmsMESH: Research Papers: Gastrointestinal Cancer0302 clinical medicineMESH : ChildMESH: ChildMedicineMESH: IncidenceMESH : Carcinoma Squamous CellChildeducation.field_of_studyMESH: Middle AgedObstetricsMESH : InfantMESH: Carcinoma Squamous CellMESH: Follow-Up StudiesAnal canalAnus NeoplasmsPrognosisResearch PapersMESH: InfantMESH : Incidence3. Good healthSurvival RateOncologyMESH: Young AdultChild Preschool030220 oncology & carcinogenesisCarcinoma Squamous Cell030211 gastroenterology & hepatologymedicine.medical_specialtyMESH : Research Papers: Gastrointestinal CancerMitomycinMESH : Young AdultUnited-StatesMESH: Prognosis03 medical and health sciencesMESH : AdolescentHumansAnal cancerMESH : Middle AgedMESH : Anus NeoplasmseducationAgedGynecologyMESH: AdolescentMESH: HumansMESH : HumansMESH: Child PreschoolPublic Health Environmental and Occupational HealthInfantMESH : Follow-Up StudiesMESH: AdultEpidermoid Carcinomamedicine.diseaseCervical-cancerincidenceRandomized-trialMESH: FemaleCancer ResearchMESH: RegistriesMESH : Child PreschoolRisk FactorsMESH: Risk FactorsMESH : FemaleRegistriesCervical cancerMESH: AgedMESH : PrognosisIncidence (epidemiology)SmokingMESH: Infant NewbornMESH : AdultMiddle AgedMESH : Survival RateMESH : Risk Factorsmedicine.anatomical_structureFemaleFranceAdultHuman-PapillomavirusRiskAdolescentMESH: Survival Rateanal cancerMESH : MalePopulationHuman Papilloma Virus Vaccine[SDV.CAN]Life Sciences [q-bio]/CancerCancer IncidenceMESH : Infant NewbornsurvivalYoung Adultcancer registryMESH : FranceSurvival rateRadiotherapybusiness.industryInfant NewbornCancerMESH: MaleMESH: FrancebusinessMESH : RegistriesFollow-Up Studies
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Polygenic Score for Physical Activity Is Associated with Multiple Common Diseases

2021

Supplemental digital content is available in the text.

MaleEpidemiologyPhysical fitnessType 2 diabetesDiseaseLogistic regressionTYPE 2 DIABETESOrthopedics and Sports Medicine315 Sport and fitness sciencesPREDICTORSChildkohorttitutkimusFinlandAged 80 and oversairastavuusHERITABILITYGenetic PleiotropyriskitekijätMiddle AgedCardiovascular DiseasesChild PreschoolCohortComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFemaleSMOKINGgeneettiset tekijätfyysinen aktiivisuusAdultGenetic Markerskuolleisuusmedicine.medical_specialtyAdolescentGenotypePhysical Therapy Sports Therapy and RehabilitationEXERCISEpitkittäistutkimusLower riskRisk AssessmentYoung AdultMetabolic DiseasesInternal medicineClinical Decision RulesBENEFITSmedicineHumansAgedbusiness.industryRISK SCORESCardiometabolic Risk FactorsInfantOdds ratiomedicine.diseaseGENEBODY-MASS INDEXLogistic ModelsCase-Control StudiesLinear Modelssydän- ja verisuonitauditbusinessBody mass indexGenome-Wide Association Study
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Association of STarT Back Tool and the short form of the Örebro Musculoskeletal Pain Screening Questionnaire with multidimensional risk factors.

2020

AbstractThe Short form of the Örebro Musculoskeletal Pain Screening Questionnaire (ÖMPSQ-short) and the STarT Back Tool (SBT) have been developed to screen for risk factors for future low back pain (LBP) -related disability and work loss respectively. The aim of this study was to investigate the accordance of the two questionnaires and to evaluate the accumulation of risk factors in the risk groups of both screening tools in a large population-based sample. The study population consisted of 3079 participants of the Northern Finland Birth Cohort 1966 who had reported LBP over the previous 12 months and had SBT and ÖMPSQ-short data. We evaluated the association of depressive and anxiety sympt…

MaleEpidemiologylcsh:MedicineAlcohol abuseGeneralized Anxiety Disorder 7AnxietyBody Mass IndexDisability Evaluation0302 clinical medicineRisk FactorsRA0421Surveys and QuestionnairesMedicine030212 general & internal medicinelcsh:ScienceDepression (differential diagnoses)Pain MeasurementMultidisciplinaryDepressionhuman behaviourSmokingriskitekijätMiddle AgedLow back painAnxietyPopulation studyEducational StatusepidemiologyFemalemedicine.symptomtyökyvyttömyysAdultmedicine.medical_specialtyMEDLINEArticle03 medical and health sciencesselkäsairaudetHuman behaviourHumansLife StylePsychiatric Status Rating Scalesbusiness.industrylcsh:Rmedicine.diseasePhysical therapykrooninen kipulcsh:QbusinessBody mass indexLow Back PainRA030217 neurology & neurosurgery
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Adjusting for selective non-participation with re-contact data in the FINRISK 2012 survey

2018

Aims: A common objective of epidemiological surveys is to provide population-level estimates of health indicators. Survey results tend to be biased under selective non-participation. One approach to bias reduction is to collect information about non-participants by contacting them again and asking them to fill in a questionnaire. This information is called re-contact data, and it allows to adjust the estimates for non-participation. Methods: We analyse data from the FINRISK 2012 survey, where re-contact data were collected. We assume that the respondents of the re-contact survey are similar to the remaining non-participants with respect to the health given their available background informa…

MaleFOS: Computer and information sciences01 natural sciences010104 statistics & probabilitymissing data0302 clinical medicineEpidemiologyPrevalence030212 general & internal medicinebias (epidemiology)Finlandmedia_commonjuomatavatGeneral Medicineta3142Middle AgedvalikoitumisharhadataFemalealkoholinkäyttöPsychologyAlcohol consumptionsurvey-tutkimusAdultmedicine.medical_specialtyAlcohol Drinkingmedia_common.quotation_subjectalcohol consumptionSurvey resultStatistics - Applicationssmoking03 medical and health sciencesNon participationtupakointiEnvironmental healthmedicineHumansselection biasApplications (stat.AP)0101 mathematicsAgedSelection biasta112Public Health Environmental and Occupational Healthepidemiologiset harhatMissing dataHealth SurveysHealth indicatorterveystutkimusPatient Participation
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Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risk…

2015

Summary Background The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the first of a series of annual updates of the GBD. Risk factor quantification, particularly of modifiable risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution. Methods Attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) have been estimated for 79 risks or clusters of risks using the GBD 2…

MaleFine particulate matterNutrition and DiseaseMESH : SanitationHealth BehaviorDiseasesMESH: Metabolic DiseasesMESH: Global Health030204 cardiovascular system & hematologyMESH: Risk AssessmentGlobal HealthMESH : Nutritional StatusMESH: Occupational Exposure0302 clinical medicineUnsafe SexMESH: Risk FactorsRisk FactorsVoeding en ZiekteMedicineAir-pollutionMESH : Female030212 general & internal medicineMESH : Risk AssessmentSanitationWasting2. Zero hungerFactors de risc en les malaltiesMedicine (all)[ SDV.SPEE ] Life Sciences [q-bio]/Santé publique et épidémiologiePublic Health Global Health Social Medicine and EpidemiologyGeneral MedicineMESH : Occupational DiseasesMESH: Nutritional StatusAll-cause mortalityMESH : Risk FactorshumanitiesEnvironmental Exposure; Female; Global Health; Health Behavior; Humans; Male; Metabolic Diseases; Nutritional Status; Occupational Diseases; Occupational Exposure; Risk Assessment; Risk Factors; Sanitation; Medicine (all)Tobacco smoking3. Good healthOccupational DiseasesNutritional StatuMESH : Occupational ExposureMESH : Metabolic DiseasesCohortFemalemedicine.symptomRisk assessmentBlood-pressureHumanMESH: Occupational DiseasesRisk factors in diseasesCoronary-heart-diseaseMESH : MaleMESH: Health BehaviorMESH: Environmental ExposureNutritional StatusPopulation healthBody-mass indexRisk Assessment03 medical and health sciencesHousehold cookingMetabolic DiseasesCardiovascular-diseaseEnvironmental healthGeneral & Internal MedicineOccupational Exposureparasitic diseasesLife ScienceMESH: SanitationHumansRisk factorMESH : Health BehaviorVLAGGBD2013MESH: Humansbusiness.industryRisk FactorGlobal Burden of Disease Study; 79 behavioural environmental and occupational and metabolic risksLong-term exposureMESH : HumansCAUSE-SPECIFIC MORTALITYEnvironmental ExposureMESH: MaleMetabolic DiseaseOccupational DiseaseFolkhälsovetenskap global hälsa socialmedicin och epidemiologiMALE BRITISH DOCTORSYears of potential life lostRelative riskMalaltiesMESH : Global HealthOUTDOOR AIR-POLLUTION[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologiebusinessMESH : Environmental ExposureMESH: FemaleLancet
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Fruit and vegetable consumption and sarcopenia among older adults in low- and middle-income countries

2020

Fruit and vegetable consumption may protect against sarcopenia but there are no studies on this topic from low- and middle-income countries (LMICs). Thus, we assessed this association among older adults from six LMICs. Community-based cross-sectional data of the Study on Global Aging and Adult Health were analyzed. Sarcopenia was defined as the presence of low skeletal muscle mass based on indirect population formula, and either slow gait or low handgrip strength. Quintiles of vegetable and fruit consumption were created based on the number of servings consumed on a typical day. Multivariable logistic regression analysis was conducted. The sample consisted of 14,585 individuals aged &ge

MaleFuture studiesLogistic regressionPersones gransolder peopleEating0302 clinical medicineVegetablesvegetablefruit low- and middle-income countries older people sarcopenia vegetablelow- and middle-income countries030212 general & internal medicineAged 80 and over2. Zero hungereducation.field_of_studyNutrition and DieteticsHand StrengthSmokingAge Factors3. Good healthIncomeFemalelcsh:Nutrition. Foods and food supplyAlcohol DrinkingPopulationlcsh:TX341-641030209 endocrinology & metabolismArticleOddssarcopenia03 medical and health sciencesSex FactorsmedicineHumanseducationDeveloping CountriesExercisePovertyHortalissesAdult healthAgedConsumption (economics)business.industryLow‐ and middle‐income countriesfruitmedicine.diseaseFruitaCross-Sectional StudiesLow and middle income countriesFruitSarcopeniaOlder peoplebusiness[SDV.AEN]Life Sciences [q-bio]/Food and Nutritionhuman activitiesFood ScienceDemography
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