Indoor Air. 2022;32:e13040. | 1 of 19 https://doi.org/10.1111/ina.13040 wileyonlinelibrary.com/journal/ina Received:28December2021 | Revised:23April2022 | Accepted:2May2022 DOI: 10.1111/ina.13040 ORIGINAL ARTICLE Reopening higher education buildings in postepidemic COVID19 scenario: monitoring and assessment of indoor environmental quality after implementing ventilation protocols in Spain and Portugal María L. de la HozTorres1 | Antonio J. Aguilar1 | Nélson Costa2 | Pedro Arezes2 | Diego P. Ruiz1 | María Dolores MartínezAires3 1DepartmentofAppliedPhysics, UniversityofGranada,Granada,Spain 2ALGORITMIResearchCenter,School ofEngineering,UniversityofMinho, Guimarães,Portugal 3DepartmentofBuildingConstruction, UniversityofGranada,Granada,Spain Correspondence AntonioJ.Aguilar,DepartmentofApplied Physics,UniversityofGranada,Av.Severo Ochoas/n,18071Granada,Spain. Email:
[email protected] Funding information Thefirsttwoauthorswishtothankthe supportoftheMinisteriodeCiencia, InnovaciónyUniversidadesofSpain, underanFPUgrant.Thisresearchwas fundedbytheConsejoGeneraldela ArquitecturaTécnica(CGATE),andthe StateResearchAgency(AEI)ofSpain and European Regional Development Funds(ERDF)underprojectPID2019- 108761RB-I00.Fundingforopenaccess charge:UniversidaddeGranada/CBUA. Abstract Post-epidemicprotocolshavebeenimplementedinpublicbuildingstokeepindoor environmentssafe.However,indoorenvironmentalconditionsareaffectedbythis decision,whichalsoaffecttheoccupantsofbuildings.Thisfacthasmajorimplicationsineducationalbuildings,wherethesatisfactionandlearningperformanceof studentsmayalsobeaffected.Thisstudyinvestigatestheimpactofpost-epidemic protocols on indoor environmental conditions in higher education buildings of one PortugueseandoneSpanishuniversity.Asensormonitoringcampaigncombinedwith asimultaneousquestionnairewasconductedduringthereopeningoftheeducational buildings. Results showed that although renewal air protocols were effective and themeanCO2concentrationlevelsremainedlow(742ppmand519ppminPortugal andSpainuniversities,respectively),studentsweredissatisfiedwiththecurrentindoorenvironmentalconditions.Significantdifferenceswerealsofoundbetweenthe responses of Portuguese and Spanish students. Indeed, Spanish students showed warmerpreferences(thermalneutrality= 23.3℃)thanPortuguesestudents(thermal neutrality =20.7℃).Intermsofinvolvedindoorfactors,theobtaineddatashowed significantcorrelations(p <0.001)betweenacousticfactorsandoverallsatisfaction inthePortuguesestudents(ρ =0.540)andbetweenthermalfactorsandoverallsatisfactionintheSpanishstudents(ρ =0.522).Therefore,indoorenvironmentalconditionsshouldbeimprovedbykeepingspacessafewhileminimizingtheimpactof post-epidemicprotocolsonstudentlearningperformance. KEYWORDS buildingmanagement,builtenvironment,indoorenvironmentalquality,new-normalscenario, sensor monitoring ThisisanopenaccessarticleunderthetermsoftheCreativeCommonsAttribution-NonCommercial-NoDerivsLicense,whichpermitsuseanddistributionin anymedium,providedtheoriginalworkisproperlycited,theuseisnon-commercialandnomodificationsoradaptationsaremade. ©2022TheAuthors.Indoor AirpublishedbyJohnWiley&SonsLtd.
2 of 19 | de la HOZTORReS eT al. 1 | INTRODUCTION ThepandemicoutbreakofCOVID-19hasledtodisruptionsinhuman activities and the basic needs of the population worldwide. The rapidspreadofthesevereacuterespiratorysyndromecoronavirus- 2(SARS-CoV-2)hasresultedinthesuspensionofmanyagricultural, industrial,andcommercialactivities,causinganegativeimpacton both the global industrial and economic sectors and a deterioration in the global economy.1,2Theadoptedmeasurestolimitthespread ofSARS-CoV-2havealsoprofoundlyaffectedtheeducationsector worldwide.Morethan1.5billionlearners(89.4%ofthetotalenrolled learners)wereaffectedbytheclosureofeducationalbuildingswhen schoolsandhighereducationinstitutionswereclosedin185countriesonApril2020.3ThesouthwesternEuropeancountries,namely, SpainandPortugal,werealsoseverelyaffectedbytheCOVID-19 pandemic.ThestrictlockdownmeasuresweredecreedonMarch 12 and 13inPortugal and Spain, respectively.4,5Thesemeasures includedtheclosureofplaygrounds,schools,anduniversities,and thissituationlasteduntilearlyMayinSpainandJune20inPortugal. Educational institutions faced these circumstances and took steps to suddenly change the teaching activities and start using onlineteachingmethodologies.However,althoughthisadaptation allowedtheacademicprocesstocontinue,teachersandstudents founditdifficulttoadapttothisnewscenario.Arecentresearch studyconcludedthat50.43%oftherespondentsofSpanishuniversitiespresentedamoderate-to-severeimpactoftheoutbreak.6 In lightofthesefacts,educationalbuildingswerereopenedforsome learningactivities,duringepidemicconditions,inordertomitigate theimpactofonlineteachingonuniversitycommunities.Asaconsequence,thisprocessrequiredimplementingmeasurestoprotectthe health,safety,andwelfareofeducationalbuildingoccupantsfrom thespreadofSARS-CoV-2.Giventhatteachers,students,andstaff spendlongperiodsperdayinthesebuildings,thefirstconsideration tomaintainingahealthyenvironmentandreducingexposureriskis adilutionofpollutantswithintheindoorspace.Althoughindoorair managementwillnotstopthespreadofCOVID-19onitsown,itcan reduce the number of people infected when occupants also follow measurestocontrolandstopinfection(e.g.,theuseofmasksand practicinggoodhandhygiene).2 , 7 – 9 International organizations also published guidelines in which ventilation was considered an important factor in the safety of indoorspaces.WorldHealthOrganization(WHO)guidelinesrecommended1000ppmastheCO2 concentration limit.10TheFederation ofEuropean Heating, Ventilationand Air Containing Associations (REHVA)recommended8–10L/sperpersoninmeetingroomsand classrooms.11Inaddition,theguidelinesdrawnupbytheAmerican Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) also suggested lowering the number of building occupantsandincreasingoutdoorairventilation.Additionally,theyrecommended that ventilation systems must be run at a maximum of 2hrbeforeandafteroccupancyforpre-andpost-occupancyflushing.12Therefore,giventheimportanceofventilationineducational buildings,thecontingencyandactionplanforCOVID-19established inengineeringschoolsandfacultiesbySpanishandPortugueseuniversities also refer to ventilation among their defined measures. For example, the plan established by the University of Granada also considers the recommendation to ventilate before and after occupancyasareopeningmeasureforeducationalcenters,anditeven specified that“even ifthe weather conditions areadverse,ventilation must be carried out by means of natural ventilation through open windows and doors”.13Inaddition,the“PlanodeContingência” (ContingencyPlan)COVID-19drawupbytheUniversityofMinho alsostated“goodventilationandfrequentairrenewalmustbeensured,forexample,byopeningdoorsandwindows.Ifmechanical ventilationisused,itshouldbeinextractionmodeandneverinrecirculation mode”.14 Fortunately,theeffortsofresearchersandtherolloutofeffective vaccines have made society hopeful for a return to the “new normal.”OnSeptember1,2021,theproportionofthepopulation who had received all the doses prescribed by the vaccination protocolinPortugalandSpainwas75.5%and72.0%,respectively.15 Indeed,PortugalhadthehighestCOVID-19vaccinationrateinthe worldinSeptember.16Consequently,giventhepercentageofvaccinated people in the university community compared with that for the 2020–2021 academic year, the COVID-19 contingency plans approved by the different faculties and engineering schools were adaptedtoallowforthehighestpossibleattendanceinthe2021– 2022academicyear.Themainobjectivewastoensureasafe,secure, Practical implications - Althoughtheapplicationofpost-epidemicprotocolsin highereducationbuildingshaskeptthemeanCO2 concentration levels under control by providing an effective airrenewal,theimplementationoftheseprotocolsaffected the degree of satisfaction of indoor environmental variables that deserves to be considered. - The main dissatisfaction causes indicated by the students are outdoor noise from several sources and low thermal comfort, which are clearly related to the applicationofthepost-epidemicprotocols,andtherefore, theyshouldberevisedtobetakenintoconsideration. - Priorities for the revision of post-pandemic protocols should be focused on minimizing the interference in student learning with special care in those preferences of individuals in accordance with the climatic area that they live in. - Well-definedpatternsareidentifiedforfine-tuningthe final protocols in accordance with the specific circumstances, for example, prioritizing the improvement of acousticconditionsduringmid-seasonshouldbeconsideredinthecaseoftheAzurémCampus,andminimizing the impact of thermal conditions in the case of the FuentenuevaCampus. 16000668, 2022, 5, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/ina.13040 by Universidad De Sevilla, Wiley Online Library on [27/02/2024]. 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| 3 of 19 de la HOZTORReS eT al. andsuitableindoorspaceforfullface-to-faceattendanceinanew- normalscenarioofpost-epidemicconditions.13,17Inthissense,exceptforthe1.5-micromanometersocialdistance,allthemeasures statedintheCOVID-19contingencyplansremainedinplaceinthe educational buildings. Inthiscontext,thestartofthe2021–2022academicyearbegan withface-to-facelearningandtheapplicationofaconditionallynormalscenario.However,sincethesemeasuresandprotocolsaffect the indoor environmental conditions in this new-normal scenario, theoccupantsatisfactionandtheindoorenvironmentalquality(IEQ) of educational building may be affected by them. Increasing the amountofoutdoorairaffectsindoorenvironmentalfactors(such as the background noise, air temperature, and relative humidity (RH)),andasaconsequence,occupants’performancemaybeaffected.1 8 – 2 1 Indeed,previousresearchstudiesconcludedthatapoorindoorenvironmentalqualityisassociatedwithadversehealtheffects andillness,leadingtostudentabsenteeism.22,23However,giventhe short time that has elapsed since society has suddenly been forced to adapt to the “new normal,” very little research has been publishedrelatedtotheimpactofthenewpost-epidemicprotocolson theindoorenvironmentalvariablesineducationalbuildings.Toaddressthisgap,theaimofthisstudywastoanalyzethesatisfaction andperceptionofuniversitystudentsinthisnewscenarioofpost- epidemicconditions.Forthispurpose,ameasurementcampaignwas conducted in educational buildings in Portugal (Azurém Campus, UniversityofMinho)andSpain(FuentenuevaCampus,Universityof Granada).Thisstudyassessedtheindoorenvironmentalconditions and the sensation and satisfaction of the students with the indoor acoustic,lighting,andthermalconditionsalongwiththeirsubjective perception of the impact of these variables on their academic performance.Thefindingswillsupportdecisionmakingfortheredesign anddevelopmentofprotocols,thusminimizingstudentdissatisfaction and ensuring that educational centers are safe. 2 | MATERIALS AND METHODS AquestionnaireandIEQmonitoringwereconductedattheAzurém Campus (University of Minho, Guimarães, Portugal) and at the FuentenuevaCampus(UniversityofGranada,Granada,Spain).Field measurements were performed during the reopening of the educationalbuildingsinthe2021/2022academicyear(duringtheperiod ofSeptember–November2021). 2.1 | Educational building case studies GuimarãesislocatedinthenorthernpartofPortugal(41°26′42″N -8°17′27″W),andtheclimatebelongstoCsbcategoryaccording totheKöppen–Geigerclimateclassification.Thisareaischaracterizedbycoldandrainywintersandhotandslightlyhumidsummers, withanaverageannualtemperaturerangefrom5to28℃. Granada islocatedinthesouthernpartofSpain(37°10′41″N-3°36′03″W), TABLE 1 Summaryoftheinvestigatedbuildings Campus Building Number of surveyed students (n) Average occupancy density (m2/person) Lighting system Type of windows Finish materials Floor Wall Ceiling Azurém (Portugal) B1 42 1.3 Suspendedandmounted fluorescent luminaire Aluminum/metal glazedwindows Wood Gypsum plaster Acoustic plasterboard B2 49 1.2 Vinyl/wood Gypsum plaster/ wood Plaster B3 81 1.2 Ceramictile Gypsum plaster/ cork Acoustic plasterboard B4 45 1.3 Vinyl Gypsum plaster/ wood Acoustic plasterboard Fuentenueva (Spain) B5 111 1.1 Mountedfluorescentluminaire Aluminumglazed windows Terrazzo Gypsum plaster Registrable suspended ceiling B6 113 1.8 Naturalstone Ceramictile Registrable suspended ceiling 16000668, 2022, 5, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/ina.13040 by Universidad De Sevilla, Wiley Online Library on [27/02/2024]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
4 of 19 | de la HOZTORReS eT al. anditsclimateisclassifiedasCsa.Granadaischaracterizedbycold winters(partlycloudy)andhotsummers.Theannualtemperature varies from 0 to 34℃,andatcertaintimesoftheyear,thethermal oscillationduringthedayislarge,oftenexceeding20℃ in 1 day. Inbothlocations,ananalysisofthecharacteristicsofteaching and learning spaces was conducted to select representative classroomsonbothcampuses.Forthispurpose,buildingmanagerswere askedtoidentifythedifferentspacesusedforundergraduatelectureclassesofeachcampus.Theseclassroomsusedfortheundergraduate students were chosen since they have the largest number ofoccupants.Amongtheseclassrooms,themeasurementcampaign wascarriedoutinthoseoneswiththedimensions,occupation,and layout representative of the spaces used for this activity in each of thebuildings.Theselectioncriteriawerethesameinbothcampuses. Asaresultofthisprocess,8classroomsdistributedin4buildingsat theAzurémCampusand7classroomsdistributedin2buildingsat theFuentenuevaCampuswereselectedintheIEQmeasurement campaign. Asummaryoftheselectedbuildings,classrooms,andnumberof surveyed students is shown in Table 1. 2.2 | IEQ sensors and experimental setup TheIEQmonitoringcampaignwasconductedduringnormallessons (1.5–2 hr), during the mid-season (from September to November 2021)inbothlocations.Differentindoorparameterswererecorded duringtheIEQmeasurement:airtemperature(℃),radianttemperature(℃),RH(%),airvelocity(m/s),CO2concentration(ppm),and light intensity (lux). Inaddition,thesoundpressurelevel (dBA) in each classroom was measured. Table 2 shows a summary of the main characteristicsoftheusedsensors.Allparametersweremeasured in1-minloggingintervals.Thesensorswereplacedinthemiddleof theclassrooms,separated>1 m from the surrounding surfaces and ataheightof0.6m. Outdoor climatological data were taken from meteorologicalstationsclosetothestudyarea.FortheareaofPortugal,the datawere obtained fromIPMA(Portuguese InstituteforSeaand Atmosphere),24andfortheareaofGranada,thedatawereobtained fromAEMET(StateMeteorologicalAgency25). Additionally,basedontheindoorairtemperaturesandradiant temperaturesvaluesobtainedfromthesensormonitoringcampaign, theoperativetemperatureswerecalculated.Thisvariableisusedin SpanishandPortugueselegislationtodefineupperandlowerlimit requirementsofthermalqualityintheindoorenvironment.Inthe caseofSpain,tworangesaredefined.Forthesummermonths(assuming 0.5 clo value and an estimated percentage of dissatisfied between 10% and 15%), the range (RS - S ) is from 23 to 25℃. For thewintermonths(assuming1clovalueandthe sameestimated percentageofunsatisfied),therange(RS - W )isfrom21to23℃.The Portugueselegislationonlyestablishesanannualrange(RP),which iswiderthanthatestablishedintheSpanishlegislation,andsetsthe operatingtemperaturelimitsfrom20to25℃.Theoperativetemperature values obtained from the field measurements were comparedwiththeindoorthermalqualityrequirementrangesofeach country. 2.3 | Data collection and analysis from questionnaires Apaper-basedcross-sectionalquestionnairewasconductedinthis study.Theconstructionofthequestionnaireinvolvedthefollowingsteps:Firstly,theprototypequestionnairewasbuiltbytheresearchgroupusingtheUNE–CEN/TR16798–2:2019Standardfor theevaluationoftheindoorenvironmentalquality.Specifically,this study followed the recommended procedures and questionnaires giveninthisStandardforthesystematicregistrationofsubjective reactionsofbuildingoccupants.Thequestionnairewasdividedinto sectionscontainingitemsrelatedtothermal,lighting,acoustic,and airqualityindoorenvironment.Theseitemsfollowedtheguidelines established in UNE-EN 10551:2019 for subjective assessment of physicalenvironment.Subsequently,inordertovalidatetheprototypequestionnaire,afocusgroupcomprisedofanexpertpanelwas conducted.Atotalof8expertsparticipatedinthisprocess,including professors and students of the related disciplines in university TABLE 2 IEQsensorcharacteristics Variable Sensor Range Accuracy Meanradianttemperature FPA805GTSAHLBORN –50to200°C 0.1℃ Airvelocity HD403TS2DeltaOHM®0.1to5m/s ±0.2 m/s +3%f.s Airtemperature FHAD46-C41AAHLBORN −20to+80°C Typical±0.2Kat5to60°C maximum ±0.4Kat5to60°C maximum ±0.7Kat−20to+80°C Relative humidity FHAD46-C41AAHLBORN 0to98%RH ±2.0%RHinrangefrom10to90%RH ±4.0%RHinrangefrom5to98%RH CO2 concentration HOBO®MX1102 0to5.000ppm ±50ppm±5%ofreading Lightintensity HOBO®MX1104 0to167,731lux ±10%typicalfordirectsunlight Soundpressurelevel Imperum-RTECNITAX® Ingeniería 35to115dBA ±1dBA 16000668, 2022, 5, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/ina.13040 by Universidad De Sevilla, Wiley Online Library on [27/02/2024]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
| 5 of 19 de la HOZTORReS eT al. degrees.Asaresultofthisexpertpanel,theclarityoftheformulation,andtheadequacyofthespecificvocabularyforthetextual productwereanalyzed.TheitemsrelatedtoIndoorAirQualityin theoriginalUNE–CEN/TR16798–2:2019Standardwerenotusedin our research because the experts mentioned the possible bias in the subjectiveassessmentofthisfactor,sincethestudentshadtowear afacemaskatanytimeduringthelectureclass.Finally,theresults obtainedfromthisprocesswereanalyzedandthequestionnaires were set up. Thequestionnairewasdividedintoageneralinformationsection, sections addressing the acoustic, lighting, and thermal comfort,andasectionthataddressedtheoverallevaluationoftheIEQ. Thegeneralinformationsectioncollecteddemographicdata(such astheageandgenderofthesubjects),aswellasthetypeofmask andclothingthatthesubjectswerewearingduringthesurvey.The clothesselectedfromachecklistbytheparticipantswereusedto estimate the clothing insulation value (EN ISO 7730).26 Based on thesedata,togetherwiththeoperativetemperatureandthemetabolicrate,thepredictedmeanvote(PMV)wascalculated. Regarding the IEQ questions, the thermal satisfaction vote (TSAV),lightingsatisfactionvote(LSAV),andacousticsatisfaction vote(ASAV)wereexaminedinthequestionnairebasedona7-point scale(from−3for“verydissatisfied”to3for“verysatisfied”).Inaddition,a7-pointscalewasalsousedtoexaminethethermalsensation vote(TSV,from−3for“cold”to3for“hot”),lightingsensationvote (LSV,from−3for“verybright”to3for“verydark”),andacoustic sensationvote(ASV,from−3for“verynoisy”to3for“verysilent”). Participantswereaskedtoselectthecausesofdissatisfactionusing achecklistcoveringthethermal,lighting,andacousticsituations. Moreover,toexaminetheperceivedinterference/enhancement of the indoor environmental conditions on the performance of the students, the perceived thermal impact on learning performance (PTILP),perceivedacousticimpactonlearningperformance(PAILP), andperceivedlightingimpactonlearningperformance(PLILP)were alsoassessed.Forthispurpose,thequestionnaireincludedthefollowing three direct questions: “Does the acoustic quality in your classroom space enhance or interfere with your ability to get your academicworkdone?”“Doesthelightingqualityinyourclassroom space enhance or interfere with your ability to get your academic workdone?”And“Doesthethermalqualityinyourclassroomspace enhanceorinterferewith yourabilitytogetyouracademicwork done?”A7-pointscalewasusedinthesequestions(from−3for“interferesalot”to3for“enhancesalot”).Itshouldberemarkedthat this study subjectively evaluates the perceived impact of indoor environment on the performance of students. Finally, two questions about the overall indoor environmental conditions were included in the questionnaire. The first one was abouttheoverallsatisfaction(OV1)(witha7-pointLikertscalefrom −3for“verydissatisfied”to3for“verysatisfied”).Thelastdirect question(OV2)was“Pleaseestimatehowyourproductivityisincreased or decreased by the environmental conditions in this building(i.e.,thermal,lighting,andacoustics).”Thiswasalsogradedwith alsoa7-pointscale(from−3for“decreasesalot”to3for“increases alot”).Thequestionnairewasvalidatedbyafocusexpertgroupprior to be applied to the respondents. Thefieldstudyfollowedtherecommendedproceduresstated inAnnexFofUNE-CEN/TR16798-2:2019andISO10551:2019in ordertoprovideconsistency,reliabilityofresults,andmeaningful comparisondataobtainedfrominvestigationinternationally.The questionnairesurveyswereconductedduringmiddlemorningor middleafternoon,nojustafterarrivalorafteralunchbreak.The questionnaireswerefilledoutduringthelast15minofeachlectureclasstolessenthelecturedisturbance.Thisdecisionwasintendedtomaximizetheexposureoftheuniversitystudentstothe indoor environmental condition of the classroom since the survey wasconductedattheendoftheclass(ensuringthatthestudents hadbeensittingintheclassroomforatleast1hrandminimizing the influence of metabolic rate on the thermal evaluations by the students). Afterthefieldmeasurementcampaign,thecollecteddatawere analyzedtoestimatethesatisfaction,sensationandimpactonthe learning activities of the students with the indoor environmental conditions.Theaveragesatisfactionscorewascalculatedforeach question as an arithmetic mean of the votes obtained from each campus.Moreover,fromtheresultsobtainedforthethermal,lighting,andacousticsatisfactionquestions,therateofsatisfaction(RS) anddissatisfaction(RD)wascalculatedforeachoftheindoorenvironmentalvariables(seeEquations1and2): Inaddition,therateofinterference(RI)andtherateofenhancement (RE)wereestimatedforeachvariablefromtheresultsobtainedfrom thePTILP,PLILP,andPAILPquestions(Equations3and4): (1) RateofDissatisfaction (RD) "Verydissatisfied"votes + "Dissatisfied"votes + "Slightlydissatisfied"votes Totalvotes [% ] (2) RateofSatisfaction (RS)= "Verysatisfied"votes + "Satisfied"votes + "Sightlysatisfied"votes Totalvotes [% ] (3) RateofInterference (RI)= "Interferealot"votes + "Interfere"votes + "Slightlyinterfere"votes Totalvotes [% ] (4) RateofEnhancement (RE)= "Enhancealot"votes+"Enhance"votes+"Slightlyenhance"votes Totalvotes [% ] 16000668, 2022, 5, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/ina.13040 by Universidad De Sevilla, Wiley Online Library on [27/02/2024]. 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6 of 19 | de la HOZTORReS eT al. 2.4 | Statistical analysis In order to determine whether there are significant differences betweentheprobabilitydistributionsoftheresultsforbothcampuses, a statistical analysis of the data obtained in the measurement campaignswascarriedout.Forthispurpose,theprobabilitydistributionofthedatawasevaluatedusingtheKolmogorov–Smirnovtest. Nonparametrictest(theMann–WhitneyUtestortheKruskal–Wallis test)wasappliedtothenon-normallydistributedmeansofdatain order to examine the statistical significance of the possible difference between both campuses. Furthermore, the Spearman correlationtestwasdeterminedbetween:(1)thesatisfactionandthe interferenceonthelearningperformanceforeachIEQfactor;(2)the satisfactionofIEQfactorandtheoverallsatisfaction;and(3)interferenceofeachIEQfactorandtheoverallinterference. Inaddition,atendencyanalysiswascarriedoutontheobtained datasets.LinearandpolynomialfitswereusedtoassesstherelationshipbetweenthevaluesofthesubjectiveandobjectiveIEQfactors. IBMSPSSstatistic(version23.0)wasusedtoperformallthestatistical analyses. 3 | RESULTS ThegeneralinformationofrespondentsissummarizedinTable 3.A totalof440students(217fromtheAzurémCampusand223from theFuentenuevaCampus)participatedinthisfieldstudy.Sinceall the university students who participated in the surveys were sitting andlisteningtothelecturersduringthemeasurements,ametabolic rateof1.1wasmet,asstatedinISO7730.26Onbothcampuses,the majorityofrespondentswerebetween18and25yearsold(87.1% ontheAzurémCampusand91.0%ontheFuentenuevaCampus), andmostofthemwerewearingasurgicalmask(90.3%and70.4%on theAzurémCampusandFuentenuevaCampus,respectively). Regardingthetypeofclothingthestudentswerewearing,the value for the clothes was estimated using the conventional clo table definedinISO7730.26 Figure 1 shows the distribution of the clothinginsulationvaluesforthestudentsfromtheAzurémCampusand theFuentenuevaCampus. 3.1 | Indoor environmental monitoring results Theresultsobtainedfromthesensormonitoringinbothcampuses aresummarizedinTable 4.Themeanoutdoorairtemperatureobtained during the measurement survey was very similar in both locations(18.6℃inGuimarãesand19.5℃inGranada).However,the rangewaswiderinGranada(from6.8to30.2℃)thaninGuimarães (from 15.2 to 23.7℃). The difference between the mean operative temperatures during the survey in both locations was less than 1℃.Asinthecaseoftheoutdoortemperature,therangeofvalues measuredattheAzurémCampus(max.25.5℃andmin20.5℃)was narrowerthanthatofthosemeasuredattheFuentenuevaCampus (max.28.1℃andmin16.8℃). Basedonthedataobtainedfromthefieldmeasurements,the PMVwascalculated.Figure 2AshowsthemeanPMVvaluesobtained in each classroom against the indoor operative temperature. Regarding the operative temperature values obtained from theAzurémCampus,mostofthemwere in therangedefinedby thePortugueselegislationforindoorthermalquality(RP).However, half of them were below the lower limit for category 4 stated by theUNE-ENISO7730:2006Standard.Withrespecttothevalues obtainedfromtheFuentenuevaCampus,theoperativetemperature hadawiderrangethantheAzurémCampus.Onlythreeofallthe valuesareinoneofthetworanges(RS - W and RS - S )establishedinthe Spanishlegislation.However,althoughsomeofthesevaluesareoutsidetheseranges,theyareinthecategoriesdefinedbytheUNE-EN ISO7730:2006Standard. Figure 2B shows the operative temperature versus the outdoortemperature.Thelimitsoftheadaptivemethoddefinedinthe UNE-EN 16798–1:2020 Standard are included in the figure. This method is used when thermal conditions can be regulated through theopeningandclosingofwindowsanddoors,whichisapplicable duringintermediateseasons(i.e.,springandautumn).Onbothcampuses,theobtainedvaluesareincategoriesIandII,asdefinedin theStandard. RegardingtheRH,themeanindoorvaluewaslowerinGranada (38.3%) than in Guimarães (52.4%), and the indoor air velocity was similar in both locations. The CO2 concentration level value in Guimarães (ranging from 400 to 1100 ppm) was higher than thevaluesmeasuredinGranada(rangingfrom399to617ppm).If boththeaverageCO2 concentration levels are compared with the recommended limit values stated in the international guidelines, it should be noted that the average level is below the limit recommended by the REHVA (800 ppm) and the WHO (1000 ppm). Therefore, although the maximum level measured at the Azurém Campusis100ppmabovetheWHOrecommendedlimit,itispossible to state that the ventilation protocols were effective in most ofthescenariosanalyzed.Inaddition,themeanlightingvaluewas TABLE 3 Generalinformation Variable Response Portugal Spain Age n/a 9(4.1%) 11(5.0%) 1 8 – 2 5 189(87.1%) 203(91.0%) +25 19(8.8%) 9(4.0%) Sex n/a 0(0%) 1(0.4%) Male 91(41.9%) 144(64.6%) Female 126(58.1%) 78(35.0%) Typeofmask n/a 1(0.5%) 6(2.7%) FFP2 6(2.8%) 39(17.5%) Surgical 196(90.3%) 157(70.4%) Cloth 12(5.5%) 17(7.6%) Other 2(0.9%) 4(1.8%) 16000668, 2022, 5, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/ina.13040 by Universidad De Sevilla, Wiley Online Library on [27/02/2024]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
| 7 of 19 de la HOZTORReS eT al. 301luxinGuimarãesand434luxinGranada.Finally,theaverage backgroundnoisesoundpressurelevelLAeq value obtained at the AzurémCampuswas47.2dBA,andattheFuentenuevaCampus,it was49.7dBA. 3.2 | Subjective indoor environmental evaluation The results obtained from the analysis of the data collected in the field surveys are shown in this section. Figure 3summarizes theTSAV,LSAV,andASAVresultsobtainedfromthestudentson theenvironmentalindoorconditionsduringthefieldsurvey.First, basedontheseresults,itcanbestatedthatthegreatestdifferenceintheRSbetweenbothcampusesisinrelationtothethermal environment.TheRDwasonly10%intheAzurémCampus,while in the Fuentenueva Campus, it amounted to 36%. In addition, regarding the results of the response from the students to their lightingandacousticsatisfaction,theobtainedRSvaluesaresimilarfortheAzurémCampusandtheFuentenuevaCampus(77% and83%inthecaseoflightingRS,and74%and69%regarding acousticRS,respectively). The results regarding the response from the students for the TSV(Figure 4)showthatthemeanvalueswere0.41inGuimarães and−0.05inGranada.Itshouldbenotedthatthestudentstended tofeelneutralinbothlocations;infact,nostudentattheAzurém Campusidentifiedtheindoorthermalenvironmentaseithercoldor hot.Atthiscampus,thesumof“cool”and“slightlycool”responses was12%,andthesumof“slightlywarm”and“warm”wasequalto 41%. Incontrast, the numberofstudentswhovoted thatthe indoorspacewas“cold”and“hot”attheFuentenuevaCampuswas 2%inbothcases.Thesumoftheresponsesthatindicate“cool”and “slightlycool”ishigherthanthatobtainedfortheAzurémCampus (31%),whilethesumof“slightlywarm”and“warm”providesavalue of30%. AsstatedinASHRAE-55(2004),whenatleast80%ofthevotes from occupants are within the three central categories of the scale (i.e.,−1,0,and1),theindoorthermalenvironmentisperceivedas comfortableoracceptable.Inthisstudy,79%and70%ofvotesfrom thestudentsarewithinthethreecentralcategoriesfortheAzurém CampusandtheFuentenuevaCampus,respectively. WithrespecttotheLSVresponsesfromthestudents(Figure 5), the mean obtained values were 0.91 in Guimarães and 0.43 in Granada.Atotalof61%ofthestudentsfromtheAzurémCampus indicatedthat lighting inside classroom was “dim,”“very dark,” or “dark.”However,onlya10%ofthestudentsindicatedthattheindoorlightingenvironmentwas“light,”“bright,”or“verybright.” InthecaseoftheFuentenuevaCampus,theresultsareverydifferentthanthosefromtheAzurémCampus.Only21%indicatedthat itwas“dim,”“dark,”or“verydark.”ItisworthnotingthatiftheseresultsarecomparedwiththeLSAV,thestudentsweresatisfiedwith theseconditionseventhoughtheymainlyratedtheLSVas“neutral,” “dim,”and“dark”inbothlocations. Regarding the responses from the students about the ASV (Figure 6),theresultsshowalowerdistributionofvotesfor“neutral”thanfortheTSVandLSV.ThemeanASVvalueswere0.96in Guimarãesand0.63inGranada.Thesumoftheresponsesfromstudents who indicated that the indoor acoustic environment was “very noisy,”“noisy,”or“slightlynoisy”was16%fortheAzurémCampus. Thisvalueincreasedto26%fortheFuentenuevaCampus.Thelocationofthecampusandtheactivitiesthattakeplacearoundthem areaspectstoconsiderwhenevaluatingtheseresults.TheAzurém CampusislocatedinalargerareathantheFuentenuevaCampus, and its educational buildings are surrounded by green spaces and landscapedareas.Incontrast,theFuentenuevaCampusislocated inthecenterofthecityofGranada,atramwaycrossesthecampus, and its buildings are surrounded by main streets with a high volume of traffic. In addition to an analysis of the sensation votes and satisfaction votesonthethermal,lighting,andacousticsoftheindoorenvironmentalconditions,theRIandREofthePTILP,PLILP,andPAILPresponseswereanalyzed(Figure 7).RegardingtheAzurémCampus, the obtained results show that the environmental condition that most contributes to enhancing student performance in class is the lighting condition (RS = 77%) followed by the thermal condition (RS=71%)and,toalesserextent,theacousticcondition(RS=67%). Infact,itistheacousticconditionthatshowedthehighestRIvalue (20%). Nevertheless, the responses obtained from the survey conductedattheFuentenuevaCampusshowthattheindoorenvironmental factor that generates the greatest interference with student learningperformanceisthethermalcondition(RI=36%)followed bytheacousticcondition(RI=23%)and,toamuchlesserextent,the lightingcondition(RI=12%). Regarding the overall environmental conditions (Figure 8), it should be noted that the RS for the students at the Azurém Campus(77%)wasslightlyhigherthanthatforthestudentsatthe FuentenuevaCampus(71%).However,adifferentdistributionwas foundintheresponsesgiventheOV2question(Figure 9):75%of students at the Azurém Campus indicated that their productivity FIGURE 1 Distributionofinsulationclothingvalues 16000668, 2022, 5, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/ina.13040 by Universidad De Sevilla, Wiley Online Library on [27/02/2024]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
8 of 19 | de la HOZTORReS eT al. wasatleastslightlyincreasedbytheenvironmentalconditions(i.e., thermal,lighting,andacoustic)inthebuildingwhiletheyweredoing thequestionnaire. Incontrast,thisvalue increasedto48%inthe FuentenuevaCampus.Inaddition,thepercentageofstudentsgivinganeutralanswertothisquestionwashigherattheFuentenueva CampusthanattheAzurémCampus. 3.3 | Causes of dissatisfaction Figures 10 and 11 show the main causes of dissatisfaction at theAzurém Campus and the Fuentenuevacampus, respectively. RegardingtheAzurémCampus,studentswerefoundtobedissatisfiedwiththethermalenvironmentduetodrafts(25%),theHVAC systems not working quickly enough (14%), slow air movement (13%),andhumiditythatwastoohigh(13%).Inrelationtoindoor lighting,themaincausesofdissatisfactionwerenotenoughdaylight(29%),thespacewastoodark(26%),andnotenoughelectric lighting(16%).Indeed,71%ofthecausesofdissatisfactionwere relatedtothelackorshortageoflightingintheclassroom.This can be also observed in the data obtained during the field monitoringcampaignonthiscampus(theminimum is112lux).Interms ofacousticdissatisfaction,studentshighlightedpeopletalkingin neighboringspaces(36%)andexcessiveechoes(30%)asthemain causes.Otherexternalnoiserepresentedonly11%.Theopeningof doorsandwindowsinfluencesindooracousticconditions.Almost 50%ofthecauseswererelatedtothisfactor.Infact,noisefrom corridors and indoor/outdoor common areas was the main dissatisfactioncause.Itshouldbenotedthatone-thirdofthedissatisfactionwascausedbyclassroomarchitecturaldesign(i.e.,echoes).In addition,it shouldbenoted that the meansoundpressurelevel (backgroundnoise)measuredintheclassroomswasabovethelevel recommendedbytheWHO. AmongthecausesofthermaldissatisfactionontheFuentenueva Campus(Figure 11),wefoundthatdraftsweretheprimarycause, withavalueof26%.Thiscausewasfollowedbyhot/coldsurroundingsurfaces(16%)andhighairmovement(13%).Twoofthesethree causes are closely related to the measure of increasing the air exchangeratiointheclassroomthroughnaturalventilation(opening doorsandwindowsgeneratedraftsinsideaclassroom). Regardingtheindoorlightingenvironment,studentshaveidentifiedshadoweffectintheirworkspace(23%),toomuchbrightness (18%),andtoomuchelectriclighting(17%)asbeingthecausesofthe mostdissatisfaction.Thesecausesareoppositetothoseindicated bythestudentsattheAzurémCampus. In terms of acoustic dissatisfaction, outdoor traffic noise accounted for about one-third of the votes among the causes of acousticdissatisfaction(32%).Otherexternalnoise(25%)andpeopletalkinginneighboringspaces(22%)representedalmosthalfof the causes of dissatisfaction.Aspointed outin the previoussection,theFuentenuevaCampusislocatedinthecenterofthecityof Granada,sourbannoises(e.g.,trafficnoiseandnoisefromoutdoor activities)influencetheacousticenvironmentalconditionsinsidethe TABLE 4 Resultsobtainedfromthefieldmeasurements Country Indoor air temperature (°C) Radiant temperature (°C) Operative temperature (°C) RH (%) Air velocity (m/s) CO2 (ppm) Lighting (lux) LAeq (dBA) PaSaP S P S P S P S P S P S P S Max 25.6 28.0 25.4 28.5 25.5 28.1 69.7 50.1 0.08 0.09 1100 617 567 691 58.0 58.0 Min 20.5 16.3 20.5 17.3 20.5 16.8 28.7 28.1 0.01 0.01 400 399 112 316 38,6 43.6 Average 23.2 23.3 23.0 24.0 23.1 23.7 52.4 38.3 0.03 0.03 742 519 301 434 47.2 49.7 Median 23.4 25.3 23.2 25.8 23.3 25.6 54.9 37.6 0.02 0.01 791 517 277 377 45.7 47.8 SD 1.9 4.0 1.8 3.8 1.8 3.8 16.0 6.9 0.02 0.03 215 83 177 113 7.5 4.9 aPindicatesPortugal(AzurémCampus),andSindicatesSpain(FuentenuevaCampus). 16000668, 2022, 5, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/ina.13040 by Universidad De Sevilla, Wiley Online Library on [27/02/2024]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
| 9 of 19 de la HOZTORReS eT al. FIGURE 2 (A)Predictedmean votePMVversusoperativetemperature and(B)operativetemperatureversus outdoortemperature.Theblacksquares arefromthePortugaldataset,andthe bluesquaresarefromtheSpaindataset FIGURE 3 TSAV,LSAV,andASAVvaluesobtainedinPortugalandSpain.*indicatesthepercentageis<5% FIGURE 4 TSVvaluesobtainedinPortugalandSpain.*indicatesthepercentageis<5% 16000668, 2022, 5, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/ina.13040 by Universidad De Sevilla, Wiley Online Library on [27/02/2024]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
16 of 19 | de la HOZTORReS eT al. Additionally,itshouldbenotedthatthetargetpopulationinthis study were young university students who may be not as sensitive toindoorenvironmentalconditionsasothergroups(e.g.,elderpeople41).Sincethisisourtargetpopulation,theresultsshouldnotbe extrapolated to other population groups without further analysis andverification.Therefore,furtherresearchwouldbeneededto expandthisanalysistodifferentpopulations(e.g.,childrenorolder adults)sincetheirdistinguishingfeaturesandcharacteristicsmayaffect the reported results. Inaddition,itisnoteworthythattheindoorairtemperaturewas close to the outdoor air temperature due to the continuous ventilationstrategies.Therefore,therewasnotasignificantthermalgradient since the indoor environmental condition is highly affected by the outdoor conditions. These factors influenced the natural airflowrate,whichisgeneratedbytwodrivingforces(windand temperaturedifferences),andtheymaychangequickly.Although the average air velocity obtained from the field measurements did notexceed0.1m/sinsidetheclassroom,thestudentsclosestto theopenings(windowsordoors)couldfeelit.Therefore,thePMV method may be unreliable under these circumstances and it should beusedasanorientativeorreferencevalueforthisstudy,since the thermal sensation of the occupants has been directly measured throughthethermalsensationvoteobtainedfromthequestionnaire survey. 6 | CONCLUSIONS Thisstudyevaluatedindoorenvironmentalconditionsduringthereopeningofeducationalbuildingsinthepost-epidemicCOVID-19scenariofollowing the implementation of the“new-normal” strategic measuresinSpainandPortugal.Althoughpost-epidemicprotocols haveprovidedeffectiveairrenewalandthemeanCO2 concentrationlevelsremainedbelow900ppm,theresultssuggestthattheir implementation have a significant impact on the degree of satisfactionwithindoorenvironmentalvariables.Theresultsofthisstudy indicate that students are mostly dissatisfied with the acoustic and thermal conditions. Inaddition, the students indicated thatthese variables also affected their learning performance. Inaddition,statisticallysignificantdifferenceswerefoundbetweenthepreferencesofthestudentfromFuentenuevaCampus andtheAzurémCampus:Spanishstudentsindicatedawarmerpreference (neutral temperature = 23.3℃) than Portuguese students (neutraltemperature= 20.7℃).In thissense, actions are needed to minimize the interference on students’ learning performances considering the preferences of individuals. This research shows thattheimpactfollowswell-definedpatternsthatcanbeusedfor fine-tuningthefinalprotocolsthatwouldbeappliedinthesepost- epidemiccircumstances.Forexample,basedontheresultsobtained inthisresearch,theadaptationoftheprotocolsduringmid-season shouldconsiderprioritizingtheimprovementofacousticconditions inthecaseoftheAzurémCampus,andminimizingtheimpactof thermalconditionsinthecaseoftheFuentenuevaCampus.Inany case,post-epidemicmeasuresimplementedduringconditionalnormality scenario in educational buildings should improve these indoor environmentalconditions,keepingspacessafewhileminimizingthe impactofpost-epidemicprotocolsonstudentlearningperformance. AUTHOR CONTRIBUTION MaríaL.delaHoz-TorresandAntonioJ.Aguilarinvolvedintheconceptualization, formal analysis, methodology, investigation, data curation,andwritingoftheoriginaldraft.NélsonCostaandPedro Arezesinvolvedintheconceptualizationandmethodology,contributedtoresources,andwrote,reviewed,andeditedthemanuscript. DiegoP.RuizandMªDoloresMartínez-Airesinvolvedintheconceptualizationandmethodology,contributedtoresourcesandproject administration,acquiredfunding,andwrote,reviewed,andedited the manuscript. CONFLICT OF INTERESTS Theauthorsdeclarethattheyhavenoknowncompetingfinancial interests or personal relationships that could have appeared to influencetheworkreportedinthispaper. DATA AVAILABILITY STATEMENT Dataareavailableuponrequest. PEER REVIEW Thepeerreviewhistoryforthisarticleisavailableathttps://publo ns.com/publo n/10.1111/ina.13040. ORCID María L. de la HozTorres https://orcid. org/0000-0003-1657-1572 Antonio J. Aguilar https://orcid.org/0000-0001-5045-8560 Nélson Costa https://orcid.org/0000-0002-9348-8038 Pedro Arezes https://orcid.org/0000-0001-9421-9123 Diego P. Ruiz https://orcid.org/0000-0001-5559-7383 María Dolores MartínezAires https://orcid. org/0000-0002-9292-5048 REFERENCES 1. 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18 of 19 | de la HOZTORReS eT al. APPENDIX A TABLE A1ResultsobtainedfromtheKruskal–WallistesttodeterminethesignificantdifferencesbetweenthedataobtainedinPortugaland Spain Satisfaction Sensation Interference TSAV LSAV ASAV TSV LSV ASV PTILP PLILP PAILP χ249.910 2.048 5.537 15.377 16.480 5.629 77.394 14.648 25.144 p-value <0.001 0.152 0.019 <0.001 <0.001 0.018 <0.001 <0.001 <0.001 TABLE A2Statisticalinformationofregressionbetweensubjectiveandobjectivevariables Input variables: TSAV– Top LSAV– lighting ASAV– LAeq PTILP– Top PLILP– Lighting PAILP– LAeq Spain R20.521 — 0.210 0.548 0.070 p-value 0.047 — 0.183 0.050 — 0.432 S.E. 0.730 — 0.506 0.478 — 0.510 F4.595 — 2.077 4.474 — 0.677 Portugal R20.110 0.274 0.192 0.263 0.293 0.094 p-value 0.422 0.449 0.278 0.466 0.420 0.461 S.E. 0.487 1.144 0.603 0.386 0.652 0.497 F0.744 0.942 1.424 0.892 1.038 0.619 TABLE A3Statisticalinformationofregressionbetweensubjectiveandoverallresponses Input variables: OV1– TSAV OV1– LSAV OV1– ASAV OV2– PTILP OV2– PLILP OV2– PAILP Spain R20.699 0.654 0.047 0.699 0.467 0.129 p-value 0.001 0.003 0.521 0.001 0.02 0.278 S.E. 0.268 0.287 0.477 0.251 0.334 0.427 F20.906 16.982 0.447 20.899 7.897 1.335 Portugal R20.584 0.364 0.677 0.570 0.526 0.894 p-value 0.027 0.113 0.012 0.030 0.042 <0.001 S.E. 0.397 0.491 0.350 0.408 0.4286 0.199 F8.412 3.434 12.557 7.960 6.654 52.590 39. BerglundB,LindvallT,SchwelaDH&WorldHealthOrganization. Occupational and Environmental Health Team. (1999). Guidelines for community noise.WorldHealthOrganization.https://apps.who. int/iris/handle/10665/66217 40. BrinkHW,LoomansMG,MobachMP,KortHS.Classrooms’indoor environmental conditions affecting the academic achievement of students and teachers in higher education: a systematic literature review. Indoor Air.2021;31(2):405-425.10.1111/ina.12745 41. Xiong J, Ma T, Lian Z, de Dear R. Perceptual and physiological responses of elderly subjects to moderate temperatures. Build Environ.2019;156:117-122.10.1016/j.buildenv.2019.04.012 How to cite this article:delaHoz-TorresML,AguilarAJ, CostaN,ArezesP,RuizDP,Martínez-AiresMD.Reopening highereducationbuildingsinpost-epidemicCOVID-19 scenario: monitoring and assessment of indoor environmentalqualityafterimplementingventilation protocolsinSpainandPortugal.Indoor Air. 2022;32:e13040. doi:10.1111/ina.13040 16000668, 2022, 5, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/ina.13040 by Universidad De Sevilla, Wiley Online Library on [27/02/2024]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License
| 19 of 19 de la HOZTORReS eT al. TABLE A4Statisticalinformationofregressionbetweensubjectiveandoverallresponses Input variables: TSV– Top Spain R20.930 p-value <0.001 S.E. 0.250 F118.819 Portugal R20.353 p-value 0.121 S.E. 0.361 F3.269 TABLE A5Spearman'scorrelationanalysisbetweensubjectiveandobjectivevariables Input variables: TSAV– Top LSAV– lighting ASAV– LAeq PTILP– Top PLILP– lighting PAILP– LAeq Spain ρ0.305 −0.019 −0.044 0.307 0.026 −0.024 p-value <0.001 0.777 0.515 <0.001 0.694 0.719 Portugal ρ0.030 0.114 −0.289 −0.049 0.030 −0.129 p-value 0.659 0.094 <0.001 0.474 0.665 0.058 ρindicatesSpearman'srhocoefficient. TABLE A6Spearman'scorrelationanalysisbetweensubjectivevariablesandoverallresponses Input variables: OV1– TSAV OV1– LSAV OV1– ASAV OV2– PTILP OV2– PLILP OV2– PAILP Spain ρ0.522 0.477 0.490 0.375 0.389 0.403 p-value <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 Portugal ρ0.492 0.400 0.540 0.609 0.546 0.581 p-value <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 ρindicatesSpearman'srhocoefficient. 16000668, 2022, 5, Downloaded from https://onlinelibrary.wiley.com/doi/10.1111/ina.13040 by Universidad De Sevilla, Wiley Online Library on [27/02/2024]. See the Terms and Conditions (https://onlinelibrary.wiley.com/terms-and-conditions) on Wiley Online Library for rules of use; OA articles are governed by the applicable Creative Commons License