UEF//eRepository
DSpace https://erepo.uef.fi
Rinnakkaistallenteet Terveystieteiden tiedekunta
2017
Physical activity and sedentary time in
relation to academicachievement in children
Haapala EA
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
© Sports Medicine Australia
CC BY http://creativecommons.org/licenses/by/4.0/
http://dx.doi.org/10.1016/j.jsams.2016.11.003
https://erepo.uef.fi/handle/123456789/4274
Downloaded from University of Eastern Finland's eRepository
JournalofScienceandMedicineinSport20(2017)583–589
ContentslistsavailableatScienceDirect
Journal of Science and Medicine in Sport
j o u r n a l ho me p a g e :w w w . e l s e v i e r . c o m / l o c a t e / j s a m s
Original research
Physical activity and sedentary time in relation to academic achievement in children
Eero A. Haapala
a,b,∗, Juuso Väistö
a,c, Niina Lintu
a, Kate Westgate
d, Ulf Ekelund
d,e, Anna-Maija Poikkeus
f, Soren Brage
d, Timo A. Lakka
a,g,haInstituteofBiomedicine/Physiology,UniversityofEasternFinland,KuopioCampus,Finland
bChildhoodHealthandActiveLivingResearchGroup,DepartmentofBiologyofPhysicalActivity,UniversityofJyväskylä,Finland
cInstituteofDentistry,UniversityofEasternFinland,KuopioCampus,Finland
dMRCEpidemiologyUnit,UniversityofCambridge,UniversityofCambridgeSchoolofClinicalMedicine,InstituteofMetabolicScience,Cambridge BiomedicalCampus,UnitedKingdom
eDepartmentofSportMedicine,NorwegianSchoolofSportsScience,Norway
fDepartmentofTeacherEducation,UniversityofJyväskylä,Finland
gDepartmentofClinicalPhysiologyandNuclearMedicine,UniversityofEasternFinland,KuopioCampus,Finland
hKuopioResearchInstituteofExerciseMedicine,Finland
a r t i c l e i n f o
Articlehistory:
Received28March2016
Receivedinrevisedform21October2016 Accepted15November2016
Availableonline23November2016
Keywords:
Motoractivity Sedentarybehavior Academicperformance Cognition
Pediatrics
a b s t r a c t
Objectives:Toinvestigatetheindependentandcombinedassociationsofobjectivelymeasuredmoderate- to-vigorousphysicalactivity(MVPA)andsedentarytime(ST)withreadingandarithmeticskills.
Design:Cross-sectional/prospective.
Methods:Participantswere89boysand69girlsaged6–8years.MVPAandSTweremeasuredusingacom- binedheartrateandmovementsensorandbodyfatpercentagebydual-energyX-rayabsorptiometryin Grade1.Readingfluency,readingcomprehension,andarithmeticskillswereassessedusingstandardized testsinGrades1–3.Thedatawereanalyzedusinglinearregressionanalysesandanalysesofcovariance withrepeatedmeasures.
Results:Inboys,MVPAwasdirectlyandSTinverselyassociatedwithreadingfluencyinGrades1–3 andarithmeticskillsinGrade1(P<0.05).HigherlevelsofMVPAwerealsorelatedtobetterreading comprehensioninGrade1(P<0.05).MostoftheassociationsofMVPAandSTwithreadingandarithmetic skillsattenuatedaftermutualadjustmentforMVPAorST.Furthermore,boyswithacombinationoflower levelsofMVPAandhigherlevelsofSThadconsistentlypoorerreadingfluency(P=0.002)andreading comprehension(P=0.027)acrossGrades1–3thanotherboys.Ingirls,STwasdirectlyassociatedwith arithmeticskillsinGrade2(P<0.05).However,thisrelationshipofSTwitharithmeticskillswasnolonger significantafteradjustmentforbodyfatpercentage.
Conclusions:LowerlevelsofMVPAandhigherlevelsofSTandparticularlytheircombinationwererelated topoorerreadingskillsinboys.Ingirls,higherlevelsofSTwererelatedtobetterarithmeticskills.
©2016SportsMedicineAustralia.PublishedbyElsevierLtd.Thisisanopenaccessarticleunderthe CCBYlicense(http://creativecommons.org/licenses/by/4.0/).
1. Introduction
Physicalinactivityisamajorpublichealthproblemindeveloped countries.1 Thereissomeevidencethathigherlevelsofphysical activity(PA)andlowerlevelsofsedentarytime(ST)areassociated withbetterbrainstructuresandfunctionsinchildren.2,3Moreover, lowlevelsofPAandhighlevelsofST,particularlyTVwatching, havebeenlinkedtopooreracademicachievementinchildren.4,5
∗Correspondingauthor.
E-mailaddress:eero.haapala@uef.fi(E.A.Haapala).
However,theserelationshipsaremainlybasedondatafromcross- sectionalstudiesusingself-reportedPAandST.4,6 Theabilityof self-reporttorankthelevelofPAcorrectlyhasbeenquestioned,and self-reportsarealsopronetorecallbias.7Therefore,evidenceon theassociationsofobjectivelymeasuredPAandSTwithacademic achievementinchildrenishighlywarranted.
Higher levels of objectively measured moderate-to-vigorous PA (MVPA) at the age of 11 were associated withbetter aca- demic achievement at the ages of 11, 13, and 16 years8 but withpoorer academicachievementin children andadolescents aged 6–18 years.9 Some studies have found no relationship betweenobjectivelymeasuredMVPAandacademicachievementin http://dx.doi.org/10.1016/j.jsams.2016.11.003
1440-2440/©2016SportsMedicineAustralia.PublishedbyElsevierLtd.ThisisanopenaccessarticleundertheCCBYlicense(http://creativecommons.org/licenses/by/4.0/).
584 E.A.Haapalaetal./JournalofScienceandMedicineinSport20(2017)583–589
children 10 years of age.5,10 In recent studies, higher levels of PAhavebeenassociatedwithbetteracademicachievementonly amongboys.11,12Incontrast,somestudieshaveobservedanassoci- ationbetweenhigherlevelsofPAandbettercognitiveperformance ingirlsbutnotinboys.13,14Therearestudiesontheassociations ofMVPAwithacademicachievementduringchildhood,although MVPAaccounts only fora smallproportion of daily PA among children.15However,therearenostudiesontherelationshipsof objectivelymeasuredlightPAtoacademicachievementalthough childrenspentmostoftheirphysicallyactivetimeinlightPA.15
Fewavailablestudiesontheassociationsofobjectivelymea- sured ST with academic achievement suggest a weak positive or no relationship between ST and academic achievement in children5 andadolescents.16,17Theseresultsareconsistentwith theobservationsindicatingthatsomesedentarybehaviors,such asTVwatching,areinverselyassociatedwhereassomesedentary behaviors,suchasreading,aredirectlyassociatedwithacademic achievementinchildrenthatmakestheinterpretationoftheasso- ciationsbetweentotalSTandacademicachievementdifficult.4
Theevidenceontheindependentandcombinedrelationships ofobjectivelymeasuredPAandSTtoacademicachievementislim- ited.Furthermore,thereareonlyafewstudiesonthelongitudinal associationsofPAandSTwithacademicachievementduringthe firstschoolyears.Therefore,weinvestigatedtheindependentand combinedassociationsofobjectivelymeasuredMVPA,lightPA,and STinGrade1withreadingandarithmeticskillsinGrades1–3in Finnishboysandgirlsaged6–8years.
2. Methods
2.1. Studydesignandstudypopulation
DataforthepresentanalyseswereobtainedfromthePhysical ActivityandNutritioninChildren(PANIC)StudyandtheFirstSteps Study,twoindependentstudiesthatarebeingconductedsimul- taneouslyamong primaryschoolchildren intheCityofKuopio, Finland.18 Altogether207children fromtheCityofKuopiopar- ticipatedinboththePANICStudyandtheFirstStepsStudy.Data onPA,ST,andconfoundingfactorswerederivedfromthePANIC StudyinGrade1anddataonreadingandarithmeticskillsatthe endofGrades1–3werereceivedfromtheFirstStepsStudy.Com- pletedataonvariablesusedinthepresentanalyseswereavailable for153children(89boys,64girls)inGrade1,149children(87 boys,62girls) in Grade 2,and 145children (86 boys,59 girls) inGrade3.Childrenwhowereexcludedfromthepresentanaly- sesbecauseofincompletedatahadhigherlevelsofMVPA,lower levelsofST, and highermaximal workloadper leanbody mass inmaximalcycleergometerexercisetestthanthechildrenwho wereincluded(P<0.05).Therewerenodifferencesinotherchar- acteristicsbetweenchildreninthestudysampleandtheexcluded children.ThePANICStudyprotocolwasapprovedbytheResearch EthicsCommitteeoftheHospitalDistrictofNorthernSavo,Kuopio, andtheFirstStepsStudyprotocolwasapprovedbytheResearch EthicsCommitteeoftheUniversityofJyväskylä.Allparticipating childrenandtheirparentsprovidedwritteninformedconsent.The fundingsourceshadnoroleinthecollection,analysis,orinterpreta- tionofthedataorintheapprovalordisapprovalofthepublication.
2.2. Assessmentofacademicachievement
Readingfluencywasassessedusingagroup-administeredsub- testofthenationallynormedreadingachievementtestbatteryfor primaryschoolscalledAla-asteenlukutesti(ALLU)inFinnish.19The testscorewasthenumberofcorrectanswers,rangingfrom0to80, duringa2-mintimelimitforitemsthatinvolvedidentifyingthe
correctwordfromfourphonologicallysimilaralternativeslinked toanadjoiningpicture.
Reading comprehension was assessed with a group- administeredsubtestfromtheALLUtestbattery.19Afterreading ashorttext,childrenwereaskedtoanswerto12multiple-choice questionsrelatingtofacts,causalrelationships,interpretations,or conclusionsdrawnfromthetext.Thetestscorewasthenumber ofcorrectanswers,rangingfrom0to12,duringthe30-mintest periodwhenchildrenwereallowedtorefertotheoriginaltext.
Arithmeticskillswereassessedusingabasicarithmetictestwith asetofvisuallypresentedadditionandsubtractiontasks.20Chil- drenwereaskedtoperformasmanycalculationsastheycould duringthe3-min timelimit. Thetest scorewasthenumber of correctanswers,rangingfrom0to28.
2.3. Assessmentofphysicalactivityandsedentarytime
PAwasobjectivelyassessedusingacombinedheartrateand movement sensor (Actiheart®, CamNtech Ltd.,Papworth, UK)21 whichwasattachedtothechildren’schestwithtwostandardECG electrodes.Thechildrenwereaskedtowearthesensorcontinu- ouslyforaminimumoffourdays(includingsleepandwater-based activities)withoutchangingtheirusualbehavior.Theheartrate datawereindividuallycalibratedwithdatafromamaximalcycle ergometerexercisetest.WedefinedMVPAasactivitiesexceeding theintensityof4metabolicequivalents(METs),lightPAasactivities thatwereperformedattheintensityof1.5–4metabolicequivalents (METs),andSTasactivitiesthatwereperformedbelowtheinten- sityof1.5METs.Weincludeddataonchildrenwhohadatleast48h (32hduringweekdays,16hduringweekenddays,representedby
≥12hofmorning,noon,afternoon,andeveningweartime)ofvalid activityrecordingintheanalyses.22
2.4. Otherassessments
Body height and body weight were measured by standard procedures.23Pubertalstatuswasassessedusingthefivestagecri- teriadescribedbyTanner.24Bodyfatmass,bodyfatpercentage,and leanbodymassweremeasuredusingtheLunarProdigyAdvance® DXAdevice.25Cardiovascularfitness(maximalworkloadperlean bodymass)wasassessedbyamaximalcycleergometertestand motor performance by 50-m shuttle run test time.25 Parental education,householdincome, PAat differentsettingsincluding unsupervisedPA,organizedsports,othersupervisedexercise,PA atrecess,andphysicallyactiveschooltransportation,habitualtime spentwatchingTV,usingcomputer,andreadingwereassessedby aquestionnaire.26Theriskofreadingdisabilitywasassessedinthe FirstStepsStudyasdescribedearlier.27Children’swellbeingwas assessedbyaquestionnairethatwasfilledoutbytheparentsand included37questionsonthefrequencyofthecomponentsofphys- ical,psychological,andsocialwellbeingscoredbetween1(never) and5(everydayoralmosteveryday).Overallwellbeingscorewas computedasasumofallthesemeasuresthatrangedbetween37 and185,lowerscoreindicatingbetteroverallwellbeing.
2.5. Statisticalmethods
WeperformedalldataanalysesusingSPSSStatistics,Version 21.0(IBMCorp.,Armonk,NY,USA).Basiccharacteristicsbetween boys and girls were compared using the Student’s t-test, the Mann–WhitneyU-test,orthechisquare-test.Theassociationsof MVPA,lightPA,andSTinGrade1withreadingfluency,reading comprehension,and arithmeticskills in Grades1–3werestud- iedusinglinearregressionanalyses.MVPA,LightPA,andSTwere enteredintothemodelonebyoneanddatawereadjustedforage, sex,andsensorweartime.Thedataweremutuallyadjustedfor
E.A.Haapalaetal./JournalofScienceandMedicineinSport20(2017)583–589 585
Table1
Basiccharacteristics.
All Boys Girls P
Backgroundcharacteristics
Age(years) 7.7(0.4) 7.7(0.4) 7.6(0.3) 0.021
Prepubertal(%) 96.8 96.7 97.0 0.935
Bodyheight(cm) 130(5.5) 130.0(5.8) 128.5(5.0) 0.052
Bodyweight(kg)† 25.8(6.1) 26.4(5.8) 25.5(6.0) 0.250
Bodyfatpercentage† 18.1(11.2) 14.8(11.6) 19.9(10.4) <0.001
Maximalworkload/leanbodymass(W/kg) 3.6(0.5) 3.7(0.5) 3.4(0.4) <0.001
50-mshuttleruntesttime(s) 24.1(2.2) 23.8(2.1) 24.7(2.1) 0.012
Parentaleducation(%)
Vocationalschoolorless 20.0 23.9 14.7 0.105
Polytechic 38.1 31.5 47.1
Universitydegree 41.9 44.6 38.2
Householdincome(%)
≤30,000 20.3 21.1 19.1 0.616
>30,000–60,000 45.6 42.2 50.0
>60,000 34.2 36.7 30.9
Riskofreadingdisabilities 13.8 18.5 7.4 0.043
Physicalactivityandsedentarytime
Sensorweartimeduringweekdays(hours)† 98.6(49.4) 92.6(45.1) 113.6(52.5) 0.223
Sensorweartimeduringweekend(hours)† 40.8(24.1) 38.7(25.4) 45.0(19.8) 0.170
Sedentarytime(min/d)† 226(192) 226(199) 223(202) 0.694
Lightphysicalactivity(min/d) 501(117) 489(112) 517(122) 0.140
Moderate-to-vigorousphysicalactivity(min/d)† 95.8(82.7) 108(88.9) 77.7(62.6) <0.001
Academicachievement Grade1
Readingfluency(range0–28) 18.7(9.5) 17.8(10.4) 19.9(8.0) 0.147
Readingcomprehension(range0–12)† 5.0(5.0) 4.0(6.0) 5.0(6.0) 0.134
Arithmeticskills(range0–28) 10.3(4.2) 10.3(4.4) 10.2(4.0) 0.856
Grade2
Readingfluency 24.8(8.4) 24.3(9.5) 25.5(6.8) 0.337
Readingcomprehension 8.0(5.0) 7.0(5.0) 9.0(4.0) 0.003
Arithmeticskills 15.4(5.1) 15.0(5.5) 16.0(4.4) 0.176
Grade3
Readingfluency 36.4(9.0) 34.7(9.3) 38.6(8.3) 0.007
Readingcomprehension 9.0(2.0) 9.0(3.0) 10.0(2.0) 0.126
Arithmeticskills 19.7(4.8) 19.5(4.6) 20.0(5.1) 0.508
DataarefromtheStudentt-testorMann–WhitneyUtestforcontinuousvariablesandchi-squaretestforcategoricalvariablesandaredisplayedasmeans(SD)fornormally distributedvariables,medians(IQR)†forslightlyskewedvariables,orpercentages(%).Pvaluesrefertostatisticalsignificancefordifferencesbetweenboysandgirls.
MVPA,light PA,andST inorder toinvestigatetheindependent associationsofthesemeasureswithacademicachievement.We additionallyadjustedthedataontheassociationsofPAandSTwith academicskillsinGrades2–3foracademicskillsinGrade1.
The combined associations of MVPA and ST in Grade 1 withacademicachievementinGrades1–3wereinvestigatedby dichotomizingMVPAandSTattheirsex-specificmediansandcom- paringacademicachievementofchildren withacombinationof lowerlevelsofMVPA(≤109min/dforboys,≤79min/dforgirls) alongwithhigherlevelsofST(>215min/dforboys,>227min/d forgirls)toallotherchildren usinganalysesofcovariance with repeatedmeasuresadjustedforage,sex,andsensorweartime.We investigatedtheinteractionsofsexwithPAandSTonacademic skillsusinggenerallinearmodels.
Inadditiontotheadjustmentforage,sex,andsensorweartime, alldatawerefurtheradjustedforparentaleducation,household income,maximalworkloadachievedinexercisetest,50-mshuttle runtesttime,body fatpercentage,PAatdifferentsettings,time spentwatchingTV,usingacomputer,readingorwriting,riskfor readingdisability,orthewellbeingscore.
3. Results
Boyswereslightlyolder,had alowerbody fatpercentage, a highermaximalworkloadachievedinexercisetest,andafaster50-
mshuttleruntesttime,andweremorelikelytohaveincreasedrisk forreadingdisabilitythangirls(Table1).Boysalsohadhigherlev- elsofMVPA,poorerreadingcomprehensioninGrade2,andpoorer readingfluencyinGrade3thangirls.
Inallchildren,MVPAinGrade1wasdirectlyassociatedwith readingfluencyinGrades2and3(Table2).MVPAorSThadno otherstatisticallysignificantly associationswithacademicskills inallchildren(Table2).Furthermore,sexmodifiedmanyassoci- ationsofMVPA,lightPA,andSTwithreadingandarithmeticskills (Table2).
In boys,higher levels of MVPA in Grade 1 were related to betterreadingfluencyinGrades1–3andbetterreadingcompre- hensionandarithmeticskillsinGrade1afteradjustmentforage and sensorwear time(Table2).Higherlevels ofST in Grade1 wereassociatedwithpoorerreadingfluencyin Grades1–3and poorerarithmeticskillsinGrade1afteradjustmentfor ageand sensorweartime.LightPAinGrade1wasrelatedtobetterread- ingfluencyinGrade3.However,thisassociationwasnolonger statisticallysignificantafterfurtheradjustmentforMVPA,ST,or bodyfatpercentage(P>0.100).OnlytheassociationofMVPAwith readingfluencyinGrade2remainedstatisticallysignificantafter mutualadjustmentforMVPAandST.Furtheradjustmentforread- ingfluencyinGrade1attenuatedtheassociationsofMVPAorST inGrade1withreadingfluencyinGrade2(P>0.150)butithad noeffectontherelationshipsofMVPAorSTtoreadingfluencyin
586E.A.Haapalaetal./JournalofScienceandMedicineinSport20(2017)583–589
Table2
Associationsofphysicalactivityandsedentarytimewithacademicachievement.
Readingfluency Readingcomprehension Arithmeticskills
All Boys Girls Pforinteraction All Boys Girls Pforinteraction All Boys Girls Pforinteraction
Grade1 Sedentarytime
(min/d)
−0.111 −0.247* 0.147 0.016 −0.097 −0.209 0.034 0.132 −0.089 −0.229* 0.149 0.063 Lightphysical
activity(min/d)
0.028 0.138 −0.146 0.133 0.067 0.109 0.035 0.653 0.045 0.174 −0.166 0.109
Moderate-to- vigorousphysical activity(min/d)
0.163 0.285** −0.171 0.011 0.105 0.255* −0.211 0.007 0.133 0.227* −0.108 0.094
Grade2 Sedentarytime
(min/d)
−0.129 −0.225* 0.028 0.119 −0.103 −0.118 −0.133 0.892 0.028 −0.152 0.379** 0.009 Lightphysical
activity(min/d)
0.042 0.071 −0.001 0.715 0.076 0.033 0.191 0.438 −0.025 0.164 −0.385** 0.006
Moderate-to- vigorousphysical activity(min/d)
0.192* 0.309** −0.183 0.008 0.113 0.190 −0.056 0.148 0.014 0.067 −0.155 0.309
Grade3 Sedentarytime
(min/d)
−0.146 −0.354** 0.158 0.004 −0.080 −0.134 0.066 0.324 −0.032 −0.155 0.163 0.111 Lightphysical
activity(min/d)
0.035 0.227* −0.249 0.015 0.078 0.120 −0.037 0.455 −0.002 0.129 −0.203 0.105
Moderate-to- vigorousphysical activity(min/d)
0.275** 0.350** 0.100 0.238 0.130 0.156 0.001 0.500 0.086 0.134 −0.036 0.431
Dataarestandardizedregressioncoefficientfrommultivariatelinearregressionanalysesadjustedforage,sex,andsensorweartime.Moderate-to-vigorousphysicalactivitywasdefinedasactivitiesexceedingtheintensityof4 metabolicequivalents(METs),lightphysicalactivityasactivitiesthatwereperformedattheintensityof1.5–4metabolicequivalents(METs),andsedentarytimeasactivitiesthatwereperformedbelowtheintensityof1.5METs.
Therewere153children(89boys,64girls)inGrade1,149children(87boys,62girls)inGrade2,and145children(86boys,59girls)inGrade3.
Statisticallysignificantassociationsarebolded.
*P≤0.05.
**P≤0.01.
E.A.Haapalaetal./JournalofScienceandMedicineinSport20(2017)583–589 587
Fig.1. Differencesinreadingfluency,readingcomprehension,andarithmeticskillsinGrades1–3between30boyswithlowlevelsofMVPAandhighlevelsofSTandother 56boysandbetween22girlswithlowlevelsofMVPAandhighlevelsofSTandother37girlsadjustedforageandsensorweartime.Thedataarepresentedasestimated marginalmeansandtheir95%confidenceintervals.
Grade3(P<0.030).Furthermore,therelationshipsofMVPAandST inGrade1toreadingandarithmeticskillsinGrade1werenolonger statisticallysignificantafteradditionaladjustmentforbodyfatper- centageor50-mshuttleruntesttime(P>0.065).Therelationship betweenMVPAandarithmeticskillsinGrade1wasalsoattenu- atedaftercontrollingforthewellbeingscore(P=0.092).Additional adjustmentshadnoeffectsontheseassociations(datanotshown).
Ingirls,lowerlevelsoflightPAandhigherlevelsofSTinGrade1 wererelatedtobetterarithmeticskillsinGrade2afteradjustment forageandsensorweartime(Table2).Theseassociationswereno longerstatisticallysignificantaftermutualadjustmentforlightPA andST(datanotshown).TherelationshipofSTinGrade1toarith- meticskillsinGrade2wasnolongerstatisticallysignificantafter
furthercontrollingforbodyfatpercentage.Additionaladjustments hadnoeffectonthisassociation.
BoyswithacombinationoflowerlevelsofMVPAandhigher levelsofSTinGrade1hadpoorerreadingfluency(meandiffer- enceacrossGrades1–3=−6.6,95% CI forthedifference=−10.6 to−2.6,P=0.002)andreadingcomprehension(meandifference acrossGrades1–3=−1.3,95%CIforthedifference=−2.5to−0.2, P=0.027)thanallotherboysafteradjustmentforageand sen- sorweartime(Fig.1).Boyswitha combinationoflower levels ofMVPAandhigherlevelsofSTalsohadpoorerreadingfluency inGrades2–3thanallotherboysafteradjustmentforage,sen- sorweartime,andreading fluencyinGrade1(meandifference acrossGrades2–3=−3.0,95%CIforthedifference=−5.4to−0.6,
588 E.A.Haapalaetal./JournalofScienceandMedicineinSport20(2017)583–589
P=0.014).Ingirls,nostatisticallysignificantcombinedassociations ofMVPAandSTinGrade1withreadingandarithmeticskillsin Grades1–3werefound.Furtheradjustmentshadnoeffectsonthese differences(datanotshown).
4. Discussion
Inthepresent studyamong Finnishprimaryschoolchildren aged6–8years,wefoundthatlowerlevelsofMVPA,higherlevels ofST,andparticularlytheircombination,wererelatedtopoorer readingskillsinboys.Furthermore,weobservedthathigherlevels ofMVPAandlowerlevelsofSTwererelatedtobetterreadingskills inGrades2and3,independentofreadingskillsinGrade1among boys.WefoundfewassociationsofPAandSTwithacademicskill ingirls.LowerlevelsoflightPAandhigherlevelsofSTwereassoci- atedwithbetterarithmeticskillsbuttherelationshipbetweenST andarithmeticskillsweakenedmarkedlyaftercontrollingforbody fatpercentage.
Previous investigations suggest either direct,8 non- significant,5,10,17 or inverse9 relationships between objectively measured MVPA and academic achievement in children and adolescents.We founda direct association betweenMVPA and academicachievementin boys,while therelationship wassta- tisticallynon-significant orinverse in girls.Our observationon the direct associations of MVPA with reading skills in boys is in linewiththe resultsof studies showingdirect relationships of PA and cardiorespiratory fitness to academic achievement andworking memoryinboys butnot in girlsat 6–10years of age.11,12 Nevertheless, some studies in adolescents suggest a direct association between PA and academic achievement in girls but not in boys.13,14 It has been hypothesized that these sexdifferencesmaybeduetomoreadvancedsexualmaturation andhigherplasma levelsofcirculatingsex-hormones,orbetter psychosocialwellbeingamonggirlsthanboys.12,28Anotherreason forthesesex-dependentassociationsmaybethattheeffects of PA onself-esteem or friendshipnetworks, which may increase schoolconnectednessandschooladjustmentandtherebyimprove academicachievement,arelargerinboysthaningirls6–8yearsof age.29,30Furthermore,girlsmayreceivemoreeducationalsupport fromtheirparentsthanboys31whichmayhaveaneffectonthe associationsofPAandSTwithacademicachievementinchildren duringearlyschoolyears.Weakandinconsistentassociationsof PAand ST withacademicachievementamonggirl mayalsobe partlydue toa smallernumberof girlsthan boysinourstudy sample and therefore limited statistical power in theanalyses.
Furthermore,body fat percentage weakenedthe association of STwitharithmeticskillsingirls.Moreresearchiswarrantedon theeffects of these factorsonthe associationbetween PA and academicachievement.
BiologicalmechanismbywhichhigherlevelsofPAmayimprove academicachievementinboysincludeimprovedneuroelectricpro- cessing,increasedhippocampalvolumesandplasmaneurotrophic factor concentrations, enhanced blood flow in the brain, and improvedattentionandworkingmemory.2,3 Furthermore,some evidencesuggeststhathighlevelsofSTthatresultinlowenergy expendituremayimpairlearningbydecreasingplasmalevelsof brain-derivedneurotrophicfactor.2PAandSTlikelyhavesimilar effectsonthebrainingirlsandinboys,butotherfactors,suchas parentaleducationalsupport,peeracceptance,teachers’positive attitudeforthestudent,andchildren’smotivationtowardsschool aremoreimportantcorrelatesofacademicachievementthanPA andSTamonggirls.32,33
HigherlevelsofTVwatchingandlowerlevelsofreadinghave beenassociatedwithpooreracademicachievementinchildren.4,11 Therearefewstudiesontheassociationsofobjectivelymeasured
STwithacademicachievementinchildren. Someofthesestud- ieshaveshownaweakpositiverelationshipandotherstudiesno associationbetweenSTandacademicachievement.5,16,17Wefound thathigherlevelsofobjectivelymeasuredSTwererelatedtopoorer reading fluencyin boysindependentof screen-based sedentary behaviorandreading.However,theseassociationswereweakened aftercontrollingforMVPA,suggestingthatboyswithhigherlev- elsofSTalsohadlowerlevelsofMVPA.Accordingly,boyswitha combinationoflowerlevelsofMVPAandhigherlevelsofSThada 6.5pointlowerscoreinreadingfluencyanda1.3pointlowerscore inreadingcomprehensionthanotherboys.Thus,ourdatasuggest thatacombination oflowMVPAandhighST mightbeparticu- larlyharmfulforthedevelopmentofacademicskillsinboysand thatincreasingMVPA,reducingST,orespeciallybothofthemmay improveacademicachievement.
WefoundthattheassociationsofMVPAandSTwithreading andarithmeticskillsinGrade1,butnotinGrades2–3,weakened aftercontrollingforbodyfatcontentandmotorperformance.It iswellcharacterizedthatPA,adiposity,and motorperformance areinterrelated.34Motorperformancehasbeendirectlyrelatedto academicskillsinchildren,particularlyinboys18,25andadipos- ityhasbeeninverselyassociated withacademicachievementin children.35Althoughourresultssuggestthatmoreactiveboyshad alowerbodyfatpercentage,bettermotorperformance,andbetter readingskillsinGrade1thanotherboys,physicallyactivelifestyle inGrade1mayimprovereadingskillslaterregardlessofthelevel ofadiposityandmotorperformance.Furthermore,higherlevelsof MVPAinGrade1wereassociatedwithbetterreadingfluencyin Grade3andthecombinationofhighlevelsofMVPAandlowlevels ofSTwasrelatedtobetterreadingfluencyinGrades2–3indepen- dentofreadingskillsinGrade1and otherconfoundingfactors.
Thus,inlinewiththefindingsbyBoothetal.,8 ourresultssug- gestthatboyswithlowerlevelsofMVPAandhigherlevelsofSTin Grade1hadsmallerimprovementsinreadingskillsduringthefirst schoolyearsthanotherboys.Anexplanationforourobservations mightbethathigherlevelsofMVPAandlowerlevelsofSTinGrade 1arerelatedtoimprovedbrainstructuresandfunctions,better cognitivefunctions,self-esteem,schoolconnectedness,andschool adjustmentthatmayimprovelearningparticularlyinboys.3,28
Thestrengthsofthepresentsstudyaretheobjectivemeasures ofPAandST,theassessmentofreadingandarithmeticskillsusing standardizedtests,andtheprospectivestudydesign.Wealsoused acomprehensivebatteryofimportantcovariatesintheanalyses.
However,ourdatadonotallowustodrawconclusionsoncausal relationships, becausewe assessed PA and ST only in Grade 1.
We alsohad a relativelysmallsamplesizeparticularlyforgirls thatdecreasedpowertodetectstatisticallysignificantassociations.
Nevertheless,thecharacteristicsof thestudysamplewererela- tively comparable totheexcluded children. Becauseof a small samplesize,wewerenotabletoinvestigatethecombinedasso- ciationsofMVPAandSTwithacademicskillsusingfourpossible groupsofMVPAandSTbutcomparedchildrenwithlowerlevelsof MVPAandhigherlevelsofSTwithallotherchildren.
5. Conclusion
Inconclusion, lowerlevelsofMVPA,higher levelsofST, and especiallytheircombinationwererelatedtopoorerreadingskills inGrades1–3amongboys.Wefoundweakandinconsistentasso- ciationsofPAandSTwithacademicskillsingirls.Thus,ourresults providesomeevidencethatpromotingaphysicallymoreactive lifestylemaybenefitthedevelopmentofreadingskillsinboysdur- ingthefirstschoolyears.Moreresearchisneededtoinvestigate whethertheassociations ofPA andST withacademicskillsare differentinboysandgirls.
E.A.Haapalaetal./JournalofScienceandMedicineinSport20(2017)583–589 589 Practicalimplications
–Increasingdailyphysicalactivityanddecreasingsedentarytime mayimproveacademicperformanceparticularlyinboys.
–Acombinationoflowlevelsofphysicalactivityandhighlevels ofsedentarywasstronglyrelatedtopooracademicperformance inboys.
–Physicalactivityorsedentarytimehadsmallifanyassociation withacademicperformanceingirls.
Acknowledgements
ThisstudywasfinanciallysupportedbygrantsfromtheJenny andAnttiWihuriFoundation,theSinikkaandSakariSohlbergFoun- dation,theMinistryofSocial Affairs and Healthof Finland,the MinistryofEducationandCultureofFinland,theFinnishInnovation FundSitra,theSocialInsuranceInstitutionofFinland,theFinnish CulturalFoundation,theJuhoVainioFoundation,theYrjöJahns- sonFoundation,theFoundationforPaediatricResearch,thePaavo NurmiFoundation,thePauloFoundation,theDiabetesResearch Foundation,cityofKuopio,theKuopioUniversityHospital(EVO- fundingnumber 5031343)and theResearch Committeeof the KuopioUniversity HospitalCatchmentArea (the StateResearch Funding).Wethankthevoluntarysubjectsandtheirfamilieswho participatedinthisstudy.Wearealsogratefullyindebtedtothe PANICStudyresearchteammembersfortheirskillfulcontribution inperforming thestudy.We thankStefanieHollidge, MRCEpi- demiologyUnit,Cambridge,forherassistancewiththeobjective physicalactivitydataprocessing.TheworkofKW,UE,andSBis supportedbytheUKMedicalResearchCouncil(MCUU12015/3).
References
[1].LeeIM,ShiromaEJ,LobeloFetal.Effectofphysicalinactivityonmajornon- communicablediseasesworldwide:ananalysisofburdenofdiseaseandlife expectancy.Lancet2012;380(9838):219–229.
[2].VossMW,CarrLJ,ClarkRetal.RevengeofthesitII:doeslifestyleimpactneuronal andcognitivehealththroughdistinctmechanismsassociatedwithsedentary behaviorandphysicalactivity?MentalHealthPhysActivity2014;7(1):9–24.
[3].DonnellyJE,HillmanCH,CastelliDetal.Physicalactivity,fitness,cognitive function,andacademicachievementinchildren.MedSciSportExerc2016;
48(6):1197–1222.
[4].Tremblay MS,LeBlanc AG,Kho MEetal. Systematic review ofsedentary behaviourandhealthindicatorsinschool-agedchildrenandyouth.IntJBehav NutrPhysActivity2011;8(1):98.
[5].SyväojaHJ,KantomaaMT,AhonenTetal.Physicalactivity,sedentarybehav- ior,andacademicperformanceinFinnishchildren.MedSciSportsExerc2013;
45(11):2098–2104.
[6].SinghA,UijtdewilligenL,TwiskJWRetal.Physicalactivityandperformanceat school.Asystematicreviewoftheliteratureincludingamethodologicalquality assessment.ArchPediatrAdolescMed2012;166(1):49–55.
[7].CorderK,vanSluijsEMF,WrightAetal.Isitpossibletoassessfree-livingphysical activityandenergyexpenditureinyoungpeoplebyself-report?AmJClinNutr 2009;89:862–870.
[8].BoothJN,LearySD,JoinsonCetal.Associationsbetweenobjectivelymeasured physicalactivityandacademicattainmentinadolescentsfromaUKcohort.BrJ SportsMed2014;48(3):265–270.
[9].Esteban-CornejoI,Tejero-GonzálezCM,Martinez-GomezDetal.Objectively measuredphysicalactivityhasanegativebutweakassociationwithacademic performanceinchildrenandadolescents.ActaPaediatr2014;103(11):501–506.
[10].LeBlancMM,MartinCK,HanHetal.Adiposityandphysicalactivityarenot relatedtoacademicachievementinschool-agedchildren.JDevBehavPediatr 2012;33(6):486–494.
[11].HaapalaEA,PoikkeusA-M,Kukkonen-HarjulaKetal.Associationsofphysical activityandsedentarybehaviorwithacademicskills—afollow-upstudyamong primaryschoolchildren.PLoSOne2014;10:e107031.
[12].DrolletteES,ScudderMR,RaineLBetal.Thesexualdimorphicassociation ofcardiorespiratoryfitnessto workingmemoryinchildren.DevSci2016;
19(1):90–108.
[13].KwakL,KremersSPJ,BergmanPetal.Associationsbetweenphysicalactivity, fitness,andacademicachievement.JPediatr2009;155(6):914–918.
[14].Martínez-GómezD,RuizJR,Gómez-MartínezSetal.Activecommutingtoschool andcognitiveperformanceinadolescents:theAVENAstudy.ArchPediatrAdolesc Med2011;165(4):300–305.
[15].PoitrasVJ,GrayCE,BorgheseMMetal.Systematicreviewoftherelationships betweenobjectivelymeasuredphysicalactivityandhealthindicatorsinschool- agedchildrenandyouth.ApplPhysiolNutrMetab2016;41:197–239.
[16].Esteban-CornejoI,Martinez-GomezD,SallisJFetal.Objectivelymeasuredand self-reportedleisure-timesedentarybehaviorandacademicperformancein youth:theUP&DOWNstudy.PrevMed2015;77:106–111.
[17].CorderK,AtkinAJ,BamberDJetal.Revisingontherunorstudyingonthesofa:
prospectiveassociationsbetweenphysicalactivity,sedentarybehaviour,and examresultsinBritishadolescents.IntJBehavNutrPhysActivity2015;12(1):106.
[18].HaapalaEA,PoikkeusA-M,TompuriTetal.Associationsofmotorandcardiovas- cularperformancewithacademicskillsinchildren.MedSciSportsExerc2014;
46(5):1016–1024.
[19].LindemanJ.ALLU-ala-asteenlukutesti(standardizedreadingtestforcomprehen- siveschool),Turku,CenterforLearningResearch.UniversityofTurku,1998.
[20].RäsänenP,AunolaK.Testofarithmetics.Unpublishedtestmaterialdevelopedin thefirststepsfollow-up,Jyväskylä,UniversityofJyväskylä,2007.
[21].BrageS,BrageN,FranksPWetal.Reliabilityandvalidityofthecombinedheart rateandmovementsensorActiheart.EurJClinNutr2005;59:561–570.
[22].CollingsPJ,WijndaeleK,CorderKetal.Objectivelymeasuredphysicalactivity andlongitudinalchangesinadolescentbodyfatness:anobservationalcohort study.PediatrObes2015;11(2):107–114.
[23].ElorantaAM,LindiV,SchwabUetal.Dietaryfactorsassociatedwithoverweight andbodyadiposityinFinnishchildrenaged6–8years:thePANICstudy.IntJObes 2012;36(7):950–955.
[24].TannerJM.Growthatadolescence,Oxford,Blackwell,1962.
[25].HaapalaEA,LintuN,VäistöJetal.Associationsofphysicalperformanceandadi- positywithcognitioninchildren.MedSciSportsExerc2015;47(10):2166–2174.
[26].VäistöJ,ElorantaA-M,ViitasaloAetal.Physicalactivityandsedentarybehaviour inrelationtocardiometabolicriskinchildren:cross-sectionalfindingsfromthe physicalactivityandnutritioninchildren(PANIC)study.IntJBehavNutrPhys Activity2014;11(1):55.
[27].KiuruN,AunolaK,TorppaMetal.Theroleofparentingstylesandteacherinter- actionalstylesinchildren’sreadingandspellingdevelopment.JSchoolPsychol 2012;50(6):799–823.
[28].TomporowskiPD,LambourneK,OkumuraMS.Physicalactivityinterventions andchildren’smentalfunction:anintroductionandoverview.PrevMed2011;
52(Suppl.1):3–9.
[29].TrudeauF,ShephardRJ.Physicaleducation,schoolphysicalactivity,school sportsandacademicperformance.IntJBehavNutrPhysActivity2006;10:1–10.
[30].SawkaKJ,McCormackGR,Nettel-AguirreAetal.Friendshipnetworksandphys- icalactivityandsedentarybehavioramongyouth:asystematizedreview.IntJ BehavNutrPhysActivity2013;10:130.
[31].KristjánsonÁ, SigfúsdóttirI. Therole ofparentalsupport, parentalmoni- toring,andtimespentwithparentsinadolescentacademicachievementin Iceland:astructuralmodelofgenderdifferences.SandinavianJEducRes2009;
53(5):481–496.
[32].KiuruN,LerkkanenMK,NiemiPetal.Theroleofreadingdisabilityriskand environmentalprotectivefactorsinstudents’readingfluencyingrade4.Read ResQ2013;48(4):349–368.
[33].Aunola K,NurmiJ-E,Niemi Petal. Developmentaldynamicsof achieve- mentstrategies,readingperformance,andparentalbeliefs.ReadResQ2002;
37(3):310–327.
[34].Robinson LE, Stodden DF, Barnett LM et al. Motor competence and its effect on positive developmental trajectories of health. Sport Med 2015;
45(9):1273–1284.
[35].ReinertKRS,Po’eEK,BarkinSL.Therelationshipbetweenexecutivefunction andobesityinchildrenandadolescents:asystematicliteraturereview.JObes 2013;2013(2):820956.