Search results for "tupakointi"

showing 10 items of 53 documents

The Older Finnish Twin Cohort : 45 Years of Follow-up

2019

AbstractThe older Finnish Twin Cohort (FTC) was established in 1974. The baseline survey was in 1975, with two follow-up health surveys in 1981 and 1990. The fourth wave of assessments was done in three parts, with a questionnaire study of twins born during 1945–1957 in 2011–2012, while older twins were interviewed and screened for dementia in two time periods, between 1999 and 2007 for twins born before 1938 and between 2013 and 2017 for twins born in 1938–1944. The content of these wave 4 assessments is described and some initial results are described. In addition, we have invited twin-pairs, based on response to the cohortwide surveys, to participate in detailed in-person studies; these …

0301 basic medicineMaleAgingHORMONE-REPLACEMENT THERAPYphysical activityBLOOD-PRESSURECohort Studies0302 clinical medicineSurveys and QuestionnairesTwins Dizygotickohonnut verenpaineMedicinekohorttitutkimusGenetics (clinical)FinlandBiological Specimen BanksAged 80 and overalcohol1184 Genetics developmental biology physiologyObstetrics and GynecologytwinsMiddle AgedBiobankPOPULATION-BASED TWINepigenetiikkaDEPRESSIVE SYMPTOMSCohortSKELETAL-MUSCLEFemalefyysinen aktiivisuusCohort studyAdulthypertensionAlcohol DrinkinglongitudinalPhysical activityreviewPAIRS DISCORDANTpitkittäistutkimussmokingENVIRONMENTAL-INFLUENCES03 medical and health sciencesTIME PHYSICAL-ACTIVITYtupakointiDiseases in Twinscohort studyDementiaHumansGENOME-WIDE ASSOCIATIONalkoholi (päihteet)Depressive symptomsQuestionnaire studyAgedkaksostutkimusepigeneticsbusiness.industryagingBaseline surveyTwins Monozygoticmedicine.diseasekaksoset030104 developmental biologyikääntyminenPediatrics Perinatology and Child HealthTELOMERE LENGTHbusiness030217 neurology & neurosurgeryDemographyFollow-Up Studiesdementia
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DNA methylation links prenatal smoking exposure to later life health outcomes in offspring

2019

Background Maternal smoking during pregnancy is associated with adverse offspring health outcomes across their life course. We hypothesize that DNA methylation is a potential mediator of this relationship. Methods We examined the association of prenatal maternal smoking with offspring blood DNA methylation in 2821 individuals (age 16 to 48 years) from five prospective birth cohort studies and perform Mendelian randomization and mediation analyses to assess whether methylation markers have causal effects on disease outcomes in the offspring. Results We identify 69 differentially methylated CpGs in 36 genomic regions (P value < 1 × 10−7) associated with exposure to maternal smoking in adolesc…

0301 basic medicinePhysiologyraskausDiseaseBioinformaticsEpigenesis Genetic/dk/atira/pure/core/keywords/icepCohort Studies0302 clinical medicinePregnancyGTP-Binding Protein gamma SubunitsEpidemiologySCHIZOPHRENIADiseaseLongitudinal StudiesProspective StudieskohorttitutkimusGenetics (clinical)Maternal smokingGenetics & HeredityRISK0303 health sciencesDNA methylationSmokingWIDEMethylationASSOCIATIONMiddle AgedDNA-metylaatio3. Good healthCausalityPREGNANCYOncologyMaternal ExposureSchizophreniaPrenatal Exposure Delayed Effects030220 oncology & carcinogenesisDNA methylationkausaliteettilifecourseLife course approachFemaleICEPLife Sciences & BiomedicineAdultTOBACCO-SMOKEMediation (statistics)medicine.medical_specialtyAdolescentOffspringBirth weightPersistenceYoung Adult03 medical and health sciencestupakointiterveysvaikutuksetMendelian randomizationGeneticsmedicineHumansMolecular BiologyMETAANALYSIS030304 developmental biologyPregnancyScience & TechnologyIDENTIFICATIONbusiness.industryMATERNAL CIGARETTE-SMOKINGResearchMediationLife courseMendelian Randomization Analysismedicine.diseaseBIRTH-WEIGHT030104 developmental biologyCpG Islandsbusiness030217 neurology & neurosurgeryGenome-Wide Association StudyDevelopmental Biology
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Smoking and Physical Activity Trajectories from Childhood to Midlife.

2019

Introduction: Despite substantial interest in the development of health behaviors, there is limited research that has examined the longitudinal relationship between physical activity (PA) and smoking trajectories from youth to adulthood in a Finnish population. This study aimed to identify trajectories of smoking and PA for males and females, and study the relationship between these trajectories from youth to adulthood. Methods: Latent profile analysis (LPA) was used to identify trajectories of smoking and PA separately for males and females among 3355 Finnish adults (52.1% females). Participants&rsquo

AdultMaleAgingLiikuntatiede - Sport and fitness sciencesAdolescentHealth BehaviorTrajectorylcsh:Medicinephysical activitypitkittäistutkimusMotor ActivityArticletupakointicohort studyadultsAdultsHumansLongitudinal StudiesChildkohorttitutkimusExerciseaikuisetFinlandPhysical activitylcsh:RSmokinglongitudinal studyOikeuslääketiede ja muut lääketieteet - Forensic science and other medical sciencestrajectoryFemaleLongitudinal studyCohort studyfyysinen aktiivisuusInternational journal of environmental research and public health
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Drinking, smoking, and educational achievement: Cross-lagged associations from adolescence to adulthood

2014

Background Adolescent substance use is associated with lower educational achievement but the directionality of the association remains uncertain. We analyzed data on drinking, smoking and educational achievement to study the associations between substance use and education from early adolescence to young adulthood. Methods Longitudinal data from four time points (ages 12, 14, 17, and 19–27 years) from a population-based cohort study of Finnish twin individuals were used to estimate bivariate cross-lagged path models for substance use and educational achievement, adjusting for sex, parental covariates, and adolescent externalizing behavior. A total of 4761 individuals (49.4% females) were in…

AdultMaleModels EducationalExternalizationAdolescentAlcohol Drinkinglongitudinaleducational achievementPoison controlAcademic achievementToxicologySuicide preventionArticleDevelopmental psychologyCohort StudiesYoung Adult03 medical and health sciences0302 clinical medicinetupakointiInjury preventionHumansMedicinePharmacology (medical)Longitudinal Studies030212 general & internal medicineYoung adultChildFinlandta515Pharmacologycdross-lagged modelbusiness.industrySmokingHuman factors and ergonomicsta3141medicine.diseaseSubstance abusePsychiatry and Mental healthAdolescent BehaviorPopulation SurveillanceadolescentEducational StatusFemalealkoholinkäyttöbusiness030217 neurology & neurosurgeryDrug and Alcohol Dependence
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Parental monitoring moderates the importance of genetic and environmental influences on adolescent smoking.

2007

Although there is a substantial literature on the role of parenting in adolescent substance use, most parenting effects have been small in magnitude and studied outside the context of genetically informative designs, raising debate and controversy about the influence that parents have on their children (D. C. Rowe, 1994). Using a genetically informative twin-family design, the authors studied the role of parental monitoring on adolescent smoking at age 14. Although monitoring had only small main effects, consistent with the literature, there were dramatic moderation effects associated with parental monitoring: At high levels of parental monitoring, environmental influences were predominant …

AdultMaleParentsmedicine.medical_specialtyAdolescentContext (language use)Social EnvironmentArticleGenetic determinismDevelopmental psychologytupakointimedicineHumansParent-Child RelationsChildBiological PsychiatrySocial influencePublic healthSmokingSocial environmentModerationMental healthTwin studySocial Control FormalClinical PsychologyPsychiatry and Mental healthFemalePsychologyJournal of Abnormal Psychology
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Is It Good To Be Good? Dispositional Compassion and Health Behaviors

2018

Background Despite the documented importance of dispositional compassions for a range of health-related outcomes, its role in predicting health behaviors remains unclear. Purpose This study examined the associations between dispositional compassion and three domains of health behavior, including physical activity, alcohol use, and smoking. Methods The participants (N = 1,279–1,913) were from the Finnish population-based Young Finns study. We collected self-reports of compassion in 1997 and 2011 and health behaviors in 2001, 2007, and 2011. In addition, an objective pedometer measure of physical activity was collected in 2011. Linear and logistic regression models were fitted to estimate the…

AdultMaleelintavatanimal structuresAlcohol Drinkingmedia_common.quotation_subjectalcohol consumptionHealth BehaviorPhysical activitycompassionBinge drinkingphysical activityCompassionLogistic regressionBinge Drinking03 medical and health sciencesYoung Adult0302 clinical medicinetupakointiempatiaHumansluonteenpiirteet030212 general & internal medicineLongitudinal StudiesAssociation (psychology)Exerciseta515General PsychologyFinlandmedia_common030505 public healthSmokingta3142Middle AgedExcessive alcohol consumptionhealth behaviorsPsychiatry and Mental healthCross-Sectional StudiesPedometerFemaleHealth behaviorEmpathyalkoholinkäyttö0305 other medical sciencePsychologyfyysinen aktiivisuusClinical psychologyPersonality
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Physical activity in adolescence and smoking in young adulthood: a prospective twin cohort study.

2007

Aims  To control for familial confounds, we studied the association between adolescent physical activity and later smoking in twin siblings discordant for their baseline physical activity. Design and measurements  In this prospective population-based twin study, we asked whether persistent physical activity/inactivity in adolescence (assessed at 16, 17 and 18.5 years) predicted questionnaire-reported daily smoking at ages 22–27. Twins who, on the three baseline questionnaires, consistently reported frequent leisure physical activity (more than three times weekly) were classified as persistent exercisers, those who exercised less than three times monthly were called persistently inactive, ot…

AdultMalemedicine.medical_specialtyAdolescentPopulationHealth Behaviorphysical activityMedicine (miscellaneous)Smoking PreventionliikuntaArticleCohort Studies03 medical and health sciences0302 clinical medicinetupakointiRisk FactorsmedicineTwins DizygoticHumans030212 general & internal medicineProspective StudiesYoung adultProspective cohort studyeducationPsychiatryExerciseFinlandnuoret aikuisetDiscordant Twineducation.field_of_studyexerciseSmokingOdds ratioTwins MonozygoticTwin studyConfidence intervalkaksosetPsychiatry and Mental healthAdolescent BehaviorFemalePsychologyAttitude to Health030217 neurology & neurosurgeryCohort studyDemographyFollow-Up StudiesAddiction (Abingdon, England)
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Association of maternal prenatal smoking GFI1-locus and cardio-metabolic phenotypes in 18,212 adults

2018

Background: DNA methylation at the GFI1-locus has been repeatedly associated with exposure to smoking from the foetal period onwards. We explored whether DNA methylation may be a mechanism that links exposure to maternal prenatal smoking with offspring's adult cardio-metabolic health.Methods: We meta-analysed the association between DNA methylation at GFI1-locus with maternal prenatal smoking, adult own smoking, and cardio-metabolic phenotypes in 22 population-based studies from Europe, Australia, and USA (n= 18,212). DNA methylation at the GFI1-locus was measured in whole-blood. Multivariable regression models were fitted to examine its association with exposure to prenatal and own adult s…

Genetics and Molecular Biology (all)MaleNetherlands Twin Register (NTR)0301 basic medicineResearch paperGFI1 protein humanGFI1-locusraskausResearch & Experimental Medicinecardio-metabolic phenotypesBiochemistryEpigenesis GeneticGLOBAL Meth QTL Consortium0302 clinical medicinePregnancySmoke030212 general & internal medicinematernal prenatal smokingDNA METHYLATIONmedia_commonRISK2. Zero hungereducation.field_of_studySmokingta3142General MedicineMiddle Agedgenetics [Transcription Factors]3. Good healthDNA-Binding ProteinsPhenotypeMedicine Research & ExperimentalCARDIOVASCULAR-DISEASEepigenetiikkaPopulation SurveillancePrenatal Exposure Delayed EffectsDNA methylation/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingFemaleDisease SusceptibilityBIOS ConsortiumMedical GeneticsLife Sciences & BiomedicineAdultmedicine.medical_specialtyOffspringBirth weightPopulationMothersgenetics [DNA-Binding Proteins]ta3111MethylationGeneral Biochemistry Genetics and Molecular BiologyDIET03 medical and health sciencesMedicine General & InternalSDG 3 - Good Health and Well-beingtupakointiGeneral & Internal MedicineInternal medicine/dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_medicinemedia_common.cataloged_instanceHumansddc:610adverse effects [Maternal Exposure]EXPOSUREEpigeneticsEuropean unioneducationMedicinsk genetikEPIGENOME-WIDE ASSOCIATIONPregnancyBiochemistry Genetics and Molecular Biology (all)Science & Technologybusiness.industryadverse effects [Smoking]DNA Methylationta3121medicine.diseaseBIRTH-WEIGHT030104 developmental biologyEndocrinologyGenetic Locisydän- ja verisuonitauditCpG IslandsCIGARETTE-SMOKINGCESSATIONEnergy Metabolismmetabolism [Myocardium]businessBody mass indexBiomarkersTranscription FactorsEBioMedicine
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Socioeconomic differences in adolescents’ smoking: a comparison between Finland and Beijing, China

2016

Background: Various studies have demonstrated the associations between socioeconomic status (SES) and health and health behaviour among adolescents. However, few studies have compared the socioeconomic difference in adolescent smoking between countries with different stage of smoking. The purpose of this study was to examine and compare the relationship between socioeconomic status (SES) and adolescent smoking in Beijing, China and Finland through the Health Behaviour in School-aged Children (HBSC) study. Methods: The data used in this study were derived from the Chinese HBSC linked project survey 2008 in Beijing and the Finnish HBSC survey 2006. The final sample included 2005 Chinese and 1…

MaleChinamedicine.medical_specialtyPediatricsAdolescentHealth BehaviorPsychological interventionSocial classLogistic regression03 medical and health sciencesFamily Affluence Scale0302 clinical medicineBeijingtupakointiSurveys and QuestionnairesEpidemiologyPrevalencemedicineHumansSocioeconomic inequalities030212 general & internal medicineadolescentsChildStudentsSocioeconomic statusFinlandSchools030505 public healthsocioeconomic inequalitiesbusiness.industrylcsh:Public aspects of medicinePublic healthSmokingPublic Health Environmental and Occupational Healthlcsh:RA1-1270Logistic ModelsSocial ClassSocioeconomic FactorsAdolescent BehaviorBeijingFemaleBiostatistics0305 other medical sciencebusinessResearch ArticleDemography
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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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