0000000000702599

AUTHOR

Suvi P. Rovio

showing 12 related works from this author

Stature and long-term labor market outcomes: Evidence using Mendelian randomization.

2017

We use the Young Finns Study (N = ∼2000) on the measured height linked to register-based long-term labor market outcomes. The data contain six age cohorts (ages 3, 6, 9, 12, 15 and 18, in 1980) with the average age of 31.7, in 2001, and with the female share of 54.7. We find that taller people earn higher earnings according to the ordinary least squares (OLS) estimation. The OLS models show that 10 cm of extra height is associated with 13% higher earnings. We use Mendelian randomization, with the genetic score as an instrumental variable (IV) for height to account for potential confounders that are related to socioeconomic background, early life conditions and parental investments, which ar…

0301 basic medicineAdultEmploymentMaleSocial ValuesEconomics Econometrics and Finance (miscellaneous)03 medical and health sciencesYoung Adult0302 clinical medicinestatureMendelian randomizationCovariateEconometricsEconomicsHumans030212 general & internal medicinePoint estimationPersonnel Selectionta512FinlandEstimationta511EarningsSalaries and Fringe BenefitsInstrumental variableConfoundingtyöllisyysheight premiumta3142Mendelian Randomization AnalysisBody Height030104 developmental biologykorkeus8. Economic growthOrdinary least squaresearningsDemographyheightEconomics and human biology
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Associations of Leisure-Time Physical Activity Trajectories with Fruit and Vegetable Consumption from Childhood to Adulthood: The Cardiovascular Risk…

2019

A physically active lifestyle and a diet rich in vegetables and fruits have a central role in promoting health. This study examined the associations between leisure-time physical activity (LTPA) trajectories and fruit and vegetable consumption (FVC) from childhood to middle age. The data were drawn from the Cardiovascular Risk in Young Finns Study with six age cohorts. Participants were 9 to 18 years (n = 3536

MaleHealth Toxicology and MutagenesisLeisure timephysical activityliikuntaruokavaliotCardiovascular SystemVARIABLES0302 clinical medicineRisk FactorsVegetablesMedicine030212 general & internal medicineChildkohorttitutkimusDIETARY-CHANGESFinland18 COUNTRIESvihanneksetAge cohortsNaisten- ja lastentaudit - Gynaecology and paediatricsMiddle Aged3142 Public health care science environmental and occupational healthCardiovascular DiseasesOBESITYtrajectory1181 Ecology evolutionary biologyFOOD-FREQUENCY QUESTIONNAIREFemaleHEALTH BEHAVIOR-CHANGEfyysinen aktiivisuusAdultadulthoodAdolescentlongitudinalKansanterveystiede ympäristö ja työterveys - Public health care science environmental and occupational healthPhysical activity030209 endocrinology & metabolismpitkittäistutkimusMotor ActivityArticle03 medical and health sciencesFEV1/FVC ratioAGELeisure ActivitiesHumansVALIDITYExerciseLife Style1172 Environmental scienceschildhoodConsumption (economics)business.industryPublic Health Environmental and Occupational HealthMiddle ageDietFruitadolescenceGENDERSelf ReportSedentary BehaviorbusinessdietDemographyhedelmätInternational journal of environmental research and public health
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Physical inactivity from youth to adulthood and adult cardiometabolic risk profile

2020

Adults with a low physical activity (PA) level are at increased risk for cardiometabolic diseases, but little is known on the association between physical inactivity since youth and cardiometabolic health in adulthood. We investigated the association of persistent physical inactivity from youth to adulthood with adult cardiometabolic risk factors. Data were drawn from the ongoing Cardiovascular Risk in Young Finns Study with seven follow-ups between 1980 and 2011 (baseline age 3–18 years, n = 1961). Physical activity data from a standardized questionnaire was expressed as a PA-index. Using the PA-index, four groups were formed: 1)persistently physically inactive (n = 246), 2)decreasingly ac…

Adultmedicine.medical_specialtyelintavatWaistAdolescentlongitudinalEpidemiologymedicine.medical_treatmentinactive lifestylepitkittäistutkimusLower risk01 natural sciencesBody Mass Index03 medical and health scienceschemistry.chemical_compound0302 clinical medicineRisk FactorsInternal medicinemedicineHumans030212 general & internal medicine0101 mathematicsChildExerciseFinland2. Zero hungerTriglyceridebusiness.industryInsulincardiovascular010102 general mathematicsPublic Health Environmental and Occupational Healthlapsuusmedicine.diseasechildhood [CVD]ObesityBlood pressurechemistryCardiovascular DiseasesChild Preschoolsydän- ja verisuonitauditnuoruusMetabolic syndromeSedentary BehaviorWaist CircumferencebusinessBody mass indexterveysriskitfyysinen aktiivisuus
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Associations of parental physical activity trajectories with offspring's physical activity patterns from childhood to middle adulthood : The Young Fi…

2022

We investigated the association of parental physical activity (PA) trajectories with offspring's youth and adult PA. Self-reported PA data were extracted from the Young Finns Study with three follow-ups for parents between 1980 and 1986 and nine follow-ups for their offspring in youth between 1980 and 2011 (aged 9-39 years, n = 2402) and in adulthood in 2018. Accelerometer-derived PA was quantified in 2018-2020 (aged 43-58 years, n = 1134). Data were analyzed using mixture models and conducted in 2022. We identified three trajectories for fathers and mothers (high-stable activity, 20.2%/16.6%; moderate-stable activity, 50.5%/49.6%; and low-stable activity, 29.4%/33.7%) and four for youth ma…

AdultMaleParentsAdolescentEpidemiologyvaikutuksetTrajectoryMothersphysical activitylapset (ikäryhmät)FathersOffspringnuoret3123 Gynaecology and paediatricsHumansChildExerciseFinlandaskelmittaritoffspringPhysical activityPublic Health Environmental and Occupational Healthparents3142 Public health care science environmental and occupational healthAccelerometeraccelerometervanhemmattrajectoryterveyskäyttäytyminenmittarit (mittaus)ennustettavuusFemale516 Educational sciencesfyysinen aktiivisuus
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Tracking and Changes in Daily Step Counts among Finnish Adults

2021

Purpose This study aimed to investigate the tracking and changes of steps per day in adults and their determinants over 13 yr. Methods A total of 2195 subjects (1236 women) 30-45 yr of age were randomly recruited from the ongoing Cardiovascular Risk in Young Finns Study in 2007 and were followed up in 2020. Steps per day, including both total and aerobic steps per day, were monitored for seven consecutive days with a pedometer in 2007-2008 and 2011-2012 and with an accelerometer in 2018-2020. Tracking was analyzed using Spearman's correlation. Stability and changes of steps per day over time in both low-active and high-active groups (based on median values) were described by percentage agre…

MaleDEVICESEpidemiologyPhysical Therapy Sports Therapy and RehabilitationpitkittäistutkimusADULTHOODFitness TrackersWalkingLogistic regressionBody Mass Index3123 Gynaecology and paediatricsMedicineHumansOrthopedics and Sports MedicineAMBULATORY ACTIVITYLongitudinal StudiesaskelmittaritaikuisetFinlandMULTILEVEL ANALYSISSTABILITYbusiness.industryFemale sexAge cohortsMiddle AgedActigraphy3142 Public health care science environmental and occupational healthPedometerAmbulatoryFemalebusinessLinear growthBody mass indexAGE COHORTSfyysinen aktiivisuusDemographyMedicine and Science in Sports and Exercise
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Longitudinal associations between parental and offspring's leisure-time physical activity: The Young Finns Study.

2021

Purpose The longitudinal influence of parental leisure-time physical activity (LTPA) on their offspring's LTPA is poorly understood. This study examined the longitudinal associations between parental LTPA and offspring's LTPA at two-time intervals. Method Child (offspring) participants (N=3596) were enrolled from the Cardiovascular Risk in Young Finns Study in 1980. Their LTPA was self-rated through nine phases from baseline to 2018 and categorized by year into youth (1980-1986) and adult (1992-2018) LTPA. Parental LTPA was assessed with a single self-reported question at three phases from 1980 to 1986. Latent growth curve modeling stratified by gender was fitted to estimate the potential p…

AdultMaleParentsAdolescentbusiness.industryLatent growth modelingOffspringLeisure timePhysical activityPhysical Therapy Sports Therapy and RehabilitationLife stageBody Mass IndexLeisure ActivitiesMedicineHumansOrthopedics and Sports MedicineFemalebusinesshuman activitiesBody mass indexExerciseFinlandDemographyScandinavian journal of medicinescience in sportsREFERENCES
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Associations Between Trajectories of Leisure-Time Physical Activity and Television Viewing Time Across Adulthood: The Cardiovascular Risk in Young Fi…

2018

Background: The purpose of this study was to examine trajectories of leisure-time physical activity (LTPA) and television-viewing (TV) time and their associations in adults over 10 years. Methods: The sample comprised 2934 participants (men, 46.0%) aged 24–39 years in 2001 and they were followed up for 10 years. LTPA and TV time were assessed using self-report questionnaires in 2001, 2007, and 2011. Longitudinal LTPA and TV-time trajectories and their interactions were analyzed with mixture modeling. Results: Three LTPA (persistently highly active, 15.8%; persistently moderately active, 60.8%; and persistently low active, 23.5%) and 4 TV time (consistently low, 38.6%; consistently moderate,…

AdultMaleTelevision viewingmedicine.medical_specialtyAdolescentLeisure timePhysical activityruutuaikaliikuntaCardiovascular SystemBody Mass IndexTimeistuminenCardiovascular Physiological PhenomenaScreen timeYoung AdultRisk Factorssedentary behaviorSurveys and QuestionnairesEpidemiologyMedicineHumansOrthopedics and Sports MedicineepidemiologiaExerciseFinlandexercisebusiness.industrytelevisio (joukkoviestimet)SmokingSedentary behaviorMiddle Agedtelevision katseluaikuisuusCardiovascular Diseasesscreen timeMixture modelingRecreationepidemiologyFemaleTelevisionSelf ReportSedentary Behaviorbusinesshuman activitiesBody mass indexvapaa-aikafyysinen aktiivisuusDemographyJournal of physical activityhealth
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Physical Inactivity from Youth to Adulthood and Risk of Impaired Glucose Metabolism

2018

Introduction: Physical activity (PA) is important in the prevention and treatment of impaired glucose metabolism. However, association of physical inactivity during the transition between childhood and adulthood with glucose metabolism is unknown. Therefore, we studied the association of persistent physical inactivity since childhood with glucose metabolism in adulthood. Methods: Data were drawn from the ongoing, Cardiovascular Risk in Young Finns Study with repeated follow-ups between 1980 and 2011 (baseline age, 3-18 yr; n = 3596). Impaired glucose metabolism was defined as having impaired fasting glucose (6.1-6.9 mmol·L-1) or type 2 diabetes in adulthood. Leisure-time PA habits were repe…

Blood GlucoseMaleCross-sectional studyphysical activityType 2 diabetes030204 cardiovascular system & hematology0302 clinical medicineRisk FactorsSurveys and QuestionnairesOrthopedics and Sports MedicineLongitudinal Studies030212 general & internal medicineta315impaired glucose metabolismChildFinlandliikkumattomuusta3142Middle AgedaikuisuusChild PreschoolFemalefyysinen aktiivisuusAdultmedicine.medical_specialtyAdolescentPhysical Therapy Sports Therapy and RehabilitationpitkittäistutkimusCarbohydrate metabolism03 medical and health sciencesaineenvaihduntahäiriötInternal medicineDiabetes mellitusmedicineHumansExerciseLife Stylechildhoodbusiness.industryMetabolismlapsuusta3121medicine.diseaseImpaired fasting glucoseConfidence intervalCross-Sectional StudiesGlucoseEndocrinologyDiabetes Mellitus Type 2Relative riskphysical inactivitySedentary Behaviorbusinessaikuistyypin diabetesMedicine & Science in Sports & Exercise
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Longitudinal physical activity trajectories from childhood to adulthood and their determinants: The Young Finns Study

2018

Determining lifelong physical activity (PA) trajectories and their determinants is essential to promote a physically active lifestyle throughout the life-course. We aimed to identify PA trajectories from childhood to midlife and their determinants in a longitudinal population-based cohort. This study is a part of the Cardiovascular Risk in Young Finns Study. From 1980, a population-based cohort (N = 3596; 1764 boys/1832 girls, age 3-18 years) has been followed up for 31 years. PA indices were formed based on self-reported data (between age 9-49 years) on frequency, duration, and intensity of leisure (during childhood) or high-intensity (at later age) PA and on sports club participation/comp…

MaleHealth Statusphysical activityAcademic achievement0302 clinical medicineMedicineOrthopedics and Sports MedicineLongitudinal Studies030212 general & internal medicineYoung adultChildta315FinlandActive groupReference groupaikuiseteducation.field_of_studyta3141ta3142Middle AgedaikuisuusChild PreschoolCohortFemaleHealth habitsfyysinen aktiivisuusAdultAdolescentlongitudinalPopulationPhysical activityPhysical Therapy Sports Therapy and RehabilitationYoung Adult03 medical and health sciencesHumanstrajectorieseducationExerciseLife Stylelapsetbusiness.industry030229 sport scienceslapsuusta3121ta3123behaviourpopulation-basedlatent class growth modellingSelf ReportbusinessDemographyScandinavian Journal of Medicine and Science in Sports
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Physical Activity from Childhood to Adulthood and Cognitive Performance in Midlife

2019

Introduction: Physical activity (PA) has been suggested to protect against old-age cognitive deficits. However, the independent role of childhood/youth PA for adulthood cognitive performance is unknown. This study investigated the association between PA from childhood to adulthood and midlife cognitive performance. Methods: This study is a part of the Cardiovascular Risk in Young Finns Study. Since 1980, a population-based cohort of 3596 children (age, 3–18 yr) have been followed up in 3- to 9-yr intervals. PA has been queried in all study phases. Cumulative PA was determined in childhood (age, 6–12 yr), adolescence (age, 12–18 yr), young adulthood (age, 18–24 yr), and adulthood (age, 24–37…

AdultMalekognitiiviset taidotAdolescentMental abilitylongitudinal researchPhysical activityphysical activityPhysical Therapy Sports Therapy and RehabilitationpitkittäistutkimusNeuropsychological TestsDevelopmental psychologyYoung AdultCognitionAge groupsReaction Timecohort studyHumansAttentionOrthopedics and Sports MedicineLongitudinal StudiesEffects of sleep deprivation on cognitive performanceYoung adultChildta315Exercisecognitive performancekohorttitutkimusFinlandCognitionta3142ta3121Middle Agedta3124Child PreschoolVisual PerceptionFemalePsychologyfyysinen aktiivisuusCohort study
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Longitudinal physical activity trajectories from childhood to adulthood and their determinants : The Young Finns Study

2018

Determining lifelong physical activity (PA) trajectories and their determinants is essential to promote a physically active lifestyle throughout the life-course. We aimed to identify PA trajectories from childhood to midlife and their determinants in a longitudinal population-based cohort. This study is a part of the Cardiovascular Risk in Young Finns Study. From 1980, a population-based cohort (N = 3596; 1764 boys/1832 girls, age 3-18 years) has been followed up for 31 years. PA indices were formed based on self-reported data (between age 9-49 years) on frequency, duration, and intensity of leisure (during childhood) or high-intensity (at later age) PA and on sports club participation/comp…

aikuisuuslongitudinallatent class growth modellingliikeradatphysical activitylapsuuskäyttäytyminenlapsetfyysinen aktiivisuusaikuisetpopulation-based
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Longitudinal associations between parental and offspring’s leisure‐time physical activity : The Young Finns Study

2022

Purpose The longitudinal influence of parental leisure-time physical activity (LTPA) on their offspring’s LTPA is poorly understood. This study examined the longitudinal associations between parental LTPA and offspring’s LTPA at two-time intervals. Method Child (offspring) participants (N=3596) were enrolled from the Cardiovascular Risk in Young Finns Study in 1980. Their LTPA was self-rated through nine phases from baseline to 2018 and categorized by year into youth (1980‒1986) and adult (1992‒2018) LTPA. Parental LTPA was assessed with a single self-reported question at three phases from 1980 to 1986. Latent growth curve modeling stratified by gender was fitted to estimate the potential p…

vanhemmatpitkittäistutkimushuman activitieselämänkaarilapset (perheenjäsenet)fyysinen aktiivisuus
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