Search results for "Smoking status"

showing 10 items of 13 documents

Telomere length and physical performance among older people-The Helsinki Birth Cohort Study.

2019

Telomere length has been suggested a biomarker of aging and is associated with several chronic diseases. However, the association between telomere length and physical performance is not well known. Using both cross-sectional and longitudinal data, we studied 582 women and 453 men from the Helsinki Birth Cohort Study at two time-points; a baseline examination in 2001-2004 at a mean age of 61 years and a follow-up examination approximately 10 years later in 2011-2013. Telomere length was measured both at baseline and at follow-up using real-time quantitative polymerase chain reaction. Physical performance was evaluated only at follow-up using the Senior Fitness Test (SFT), which assesses stre…

0301 basic medicineMaleAgingBLOODFITNESSEpidemiologybiomarkkeritCAPABILITY0302 clinical medicineMARKERSEpidemiologyMedicine2. Zero hungerSex CharacteristicsASSOCIATIONMiddle AgedTelomere3142 Public health care science environmental and occupational healthfyysinen kuntoPhysical functionBiomarker (medicine)Smoking statusepidemiologyFemaleHEALTHBirth cohortmedicine.medical_specialtyBIOMARKERSfyysinen toimintakyky03 medical and health sciencesphysical functionHumansFRAILTYAgedbusiness.industryMORTALITYDISABILITYagingbiomarkersTelomere HomeostasisTelomere030104 developmental biologyikääntyminenPhysical performancetelomeeritbusinessOlder peopleBody mass index030217 neurology & neurosurgeryDevelopmental BiologyDemographyFollow-Up StudiesMechanisms of ageing and development
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Impact of smoking on COVID-19 outcomes: a HOPE Registry subanalysis

2021

BackgroundSmoking has been associated with poorer outcomes in relation to COVID-19. Smokers have higher risk of mortality and have a more severe clinical course. There is paucity of data available on this issue, and a definitive link between smoking and COVID-19 prognosis has yet to be established.MethodsWe included 5224 patients with COVID-19 with an available smoking history in a multicentre international registry Health Outcome Predictive Evaluation for COVID-19 (NCT04334291). Patients were included following an in-hospital admission with a COVID-19 diagnosis. We analysed the outcomes of patients with a current or prior history of smoking compared with the non-smoking group. The primary …

2474medicine.medical_specialtyRC620-627Health (social science)Coronavirus disease 2019 (COVID-19)infectious diseaseMedicine (miscellaneous)Health outcomesSepsis03 medical and health sciences0302 clinical medicineInternal medicinemedicineClinical endpointRisk of mortality1506030212 general & internal medicineNutritional diseases. Deficiency diseasesOriginal Researchpulmonary diseaseNutrition and Dieteticsbusiness.industry2524Clinical courseCOVID-19medicine.diseaseFormer Smoker030228 respiratory systemSmoking statusbusinessBMJ Nutrition, Prevention & Health
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Impulsiveness and venturesomeness in German smokers.

2011

Introduction Cigarette smoking is a behavior, which is influenced by genetic, demographic, and psychological factors. A large body of research has examined the association of cigarette smoking variables with individual differences in personality traits. The aim of the current study was to replicate the findings of higher self-reported impulsivity in smokers compared with never-smokers in a German sample using Eysenck´s construct of impulsivity. Furthermore, it was intended to further the knowledge about associations between different self-reported impulsivity components and different smoking variables. Methods We used the Impulsiveness-Venturesomeness-Empathy questionnaire (I7) to measure s…

AdultMaleImpulsivityGermanCigarette smokingGermanySurveys and QuestionnairesmedicineHumansBig Five personality traitsDemographySmokingPublic Health Environmental and Occupational HealthNovelty seekingTobacco Use DisorderMiddle Agedlanguage.human_languageSmoking epidemiologyLogistic ModelsImpulsive Behaviorbehavior and behavior mechanismslanguageExploratory BehaviorTemperament and Character InventorySmoking statusFemalemedicine.symptomPsychologyClinical psychologyNicotinetobacco research : official journal of the Society for Research on Nicotine and Tobacco
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Schizophrenic patients who smoke have a faster finger tapping rate than non-smokers

2002

The increased rate of smoking in schizophrenia patients remains unexplained and may reflect attempts at self-treatment. The effect sought from smoking may be related to nicotine's stimulating action. We tested this hypothesis by examining the relationship between smoking status and finger tapping rate, a measure of central processing, in schizophrenia patients treated with atypical antipsychotics. Smokers showed significantly faster finger tapping rates than non-smokers. This was not related to clinical state, illness chronicity, medication side-effects, antipsychotic dose or plasma concentrations. Nicotine can improve central processing in medicated schizophrenia patients and this may cons…

AdultMaleNicotinemedicine.medical_specialtyPatientsMovementmedicine.medical_treatmentClinical stateFingersNicotineInternal medicinemedicineHumansPharmacology (medical)Nicotinic AgonistsAntipsychoticPsychiatryBiological PsychiatryPharmacologySmokeAnalysis of VarianceSmokingMiddle Agedmedicine.diseasePsychiatry and Mental healthNeurologySchizophreniaFinger tappingPlasma concentrationSchizophreniaSmoking statusNeurology (clinical)PsychologyPsychomotor Performancemedicine.drugEuropean Neuropsychopharmacology
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Does organized sport participation during youth predict healthy habits in adulthood? A 28-year longitudinal study

2018

Health behaviors in youth can predict the same behaviors later in life, but the role of sport participation in predicting healthy lifestyle habits is unclear. This study aimed to investigate the association between participation in organized youth sport and adult healthy lifestyle habits. Data from the longitudinal Cardiovascular Risk in Young Finns Study (YFS) with a 28-year follow-up were used. The participation in sport-club training sessions was self-reported by 9-18-year-olds in 1983 and 1986 (n = 1285). During 2011, participants (aged 37-43-year old) reported their smoking status, alcohol consumption, fruit and vegetable consumption, and physical activity. Odd ratios (OR) were calcula…

AdultMaleelintavatLongitudinal studylongitudinalAdolescentAlcohol DrinkingHealth BehaviorPhysical activityphysical activityPhysical Therapy Sports Therapy and RehabilitationpitkittäistutkimusLogistic regressionOddsHabitsYoung Adult03 medical and health sciences0302 clinical medicineHumansOrthopedics and Sports MedicineHealthy LifestyleLongitudinal Studies030212 general & internal medicineliikuntaharrastusta315ChildFinlandConsumption (economics)youthSmokingYouth Sportsta3142030229 sport sciencesDiethealth behaviorsaikuisuusLogistic ModelsterveyskäyttäytyminennuoruusFemaleSmoking statusSelf ReportsportLifestyle habitsPsychologyAlcohol consumptionfyysinen aktiivisuusDemographyScandinavian Journal of Medicine & Science in Sports
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PS166 Efficacy and Safety of Alirocumab According to Smoking Status

2016

Community and Home Caremedicine.medical_specialtyEpidemiologybusiness.industryInternal medicinemedicineSmoking statusCardiology and Cardiovascular MedicinebusinessAlirocumabGlobal Heart
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Leisure-Time and Occupational Physical Activity Associates Differently with Epigenetic Aging

2021

Supplemental digital content is available in the text.

MaleAgingLeisure timeliikuntaEpigenesis Genetic0302 clinical medicineTwins DizygoticMedicineOrthopedics and Sports MedicineYoung adult315 Sport and fitness sciencesAge FactorsMETHYLATIONMiddle AgedDNA-metylaatioepigenetiikkaComputingMethodologies_DOCUMENTANDTEXTPROCESSINGFemaleSmoking statusSMOKINGfyysinen aktiivisuusAdultPhysical activityPhysical Therapy Sports Therapy and RehabilitationBIOLOGICAL AGINGYoung Adult03 medical and health sciencesLeisure ActivitiesSex FactorsHumansEpigeneticsExerciseOccupational HealthAgedModels GeneticBasic Sciencesbusiness.industrydNaMTwins Monozygotic030229 sport sciencesDNA MethylationTwin studyfyysinen kuormittavuusikääntyminentyön kuormittavuusbusinessLifestyle habitshuman activitiesQUANTITATIVE GENETICSDemography
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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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Participation in Physical Activity is Associated with Sexual Activity in Older English Adults.

2019

Physical activity (PA) is a potential modifiable correlate of the age-related decline in sexual function, but no studies have explicitly tested this. This study aimed to examine associations between PA, television viewing (TV) time and sexual activity, problems, and concerns. Data were from 7,038 men and women aged &ge

MaleLongitudinal studyHealth Toxicology and Mutagenesislcsh:Medicinephysical activityolder adult0302 clinical medicineSurveys and Questionnairessexual problemOdds RatioMedicine030212 general & internal medicineLongitudinal Studiessexual concernsolder adults*sexual behavioursexual behaviourSexual relationshipMiddle Aged16. Peace & justiceEnglandSmoking statusAlcohol intakeFemaleTelevision*sexual concerns*older adultsSexual BehaviorPhysical activitytelevision viewing time030209 endocrinology & metabolism*EnglandArticleOdds03 medical and health sciences*physical activitysexual activity*sexual problemsHumansExerciseAgedbusiness.industrylcsh:RPublic Health Environmental and Occupational Healthsexual problemsMental health*television viewing timeCross-Sectional Studies*sexual activitysexual concernbusinessSexual functionDemographyInternational journal of environmental research and public health
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Smoking and FOS expression from blood leukocyte transcripts in patients with coronary artery disease.

2011

International audience; OBJECTIVE: Analysis of the leukocyte transriptome, in particular the Finkel-Biskis-Jinkins Osteosarcoma (c-Fos) gene, which has a prominent role in inflammation, provides new insights into atherosclerosis mechanisms. Although smoking is a major risk factor, the links between smoking status and coronary artery disease (CAD) remains unclear. We aimed to analyze the relationship between smoking status and c-Fos expression in circulating leukocytes of patients with CAD. METHODS: c-Fos expression was measured by RT-Q-PCR, from blood leukocytes of 239 consecutive patients after acute myocardial infarction (MI). The patients were asked about their smoking status and stratif…

MaleMESH : RNA MessengerMESH: Chi-Square DistributionMESH : LeukocytesMESH : Prospective StudiesMESH : AgedMyocardial InfarctionSmoking PreventionMESH: Risk Assessmentc-FosMESH : Coronary Angiography0302 clinical medicineMESH : Genetic MarkersProspective StudiesMESH: Coronary Artery DiseaseAged 80 and over0303 health sciencesMESH: Middle AgedGenes fosMESH: Smoking Cessation3. Good healthMESH : SmokingMESH: Myocardial InfarctionOsteosarcomaSmoking statusCardiology and Cardiovascular MedicineGenetic Markersmedicine.medical_specialtyRisk AssessmentMESH: Leukocytes03 medical and health sciences[SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemHumansMESH : Middle AgedRNA MessengerMESH : Coronary Artery DiseaseRisk factorMESH : Aged 80 and overAgedChi-Square DistributionMESH: HumansMESH : Chi-Square DistributionMESH : Smoking CessationMESH : Humansmedicine.diseaseMESH: Coronary AngiographyLinear ModelsMESH: FemaleBlood leukocyte transcriptomeMESH : Genes fos030204 cardiovascular system & hematologyMESH: Genetic MarkersBioinformaticsCoronary AngiographyCoronary artery diseaseMESH: Linear ModelsCoronary artery diseaseMESH: Aged 80 and overRisk FactorsMESH: Risk FactorsMESH : Linear ModelsLeukocytesMESH : FemaleMESH : Risk AssessmentMESH: Agedc-FosbiologySmoking[ SDV.MHEP.CSC ] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemMiddle AgedMESH : Risk Factors[SDV.MHEP.CSC] Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular systemCardiologyFemaleFrancemedicine.symptomInflammation MediatorsMESH: SmokingMESH : MaleMESH: Inflammation MediatorsInflammationMESH: Genes fosMESH: Multivariate AnalysisMESH : Inflammation MediatorsInternal medicinemedicineIn patientMESH : France030304 developmental biologyMESH: RNA Messengerbusiness.industryMESH : Multivariate AnalysisMESH: MaleMESH: Prospective StudiesMESH: FranceMultivariate Analysisbiology.proteinSmoking CessationMESH : Myocardial Infarctionbusiness
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