Health Impacts of Diesel

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    Health

    Impacts

    of

    Diesel,

    Based

    on

    DatafromtheNational-ScaleAir

    ToxicsAssessment(NATA)

    October2009

    Preparedby:

    DonaldMcCubbin,Ph.D.

    Preparedfor:

    CleanAirTaskForce

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    1

    TableofContentsTableofContents.................................................................................................................................11. Introduction....................................................................................................................................22. Methods.........................................................................................................................................3

    2.1 AnnualAverageAmbientDieselConcentrations............................................................................... 3

    2.2 EstimatingCasesofDieselRelatedHumanHealthImpacts.............................................................. 3

    2.3 ValuingEstimatedHealthImpacts..................................................................................................... 4

    3. Results............................................................................................................................................8AppendixA. HumanHealthImpactFunctionDetails...........................................................................9

    A.1 DerivingHealthImpactFunctions...................................................................................................... 9

    A.2 PM2.5HealthImpactFunctions........................................................................................................ 12

    References.........................................................................................................................................29

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    2

    1. Introduction

    Dieselparticlescausewidespreaddamagetohumanhealth. Thisreportestimatestheimpactofonroad

    andoffroadsourcesofdieselparticles.

    Thecontributionofdieselparticlestoambientparticlelevelslessthanorequalto2.5microns(PM2.5)in

    aerodynamicdiameterarefromtheNationalScaleAirToxicsAssessment(NATA)program. The

    epidemiologicalstudiesandmethodsusedtoestimatethehealthimpactsofdieselarethesameas

    thoseusedbytheU.S.EnvironmentalProtectionAgency(EPA)inrecentregulatoryimpactassessments

    (e.g.,U.S.EPA2008a;2008b;2009).

    InSection2,IbrieflydescribethestudiesandmethodsthatIusedtoestimatethehealthimpactsof

    diesel. AdditionaldetailsonthestudiesareprovidedinAppendixA. AndinSection3,Ibriefly

    summarizethenationallevelhealthimpacts.

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    3

    2.Methods

    ToestimatethedieselPM2.5relatedhumanhealthimpactsandvaluetheseimpacts,Iuseversion4.0oftheEnvironmentalBenefitsMappingandAnalysisProgram(BenMAP).1 ThefirststepinusingBenMAPis

    tochangeinambientairquality,inthiscasethecontributionofdirectdieselparticlestoannualaverage

    ambientPM2.5levels. (NoimpactsofdieselrelatedNOxandVOCemissionsonambientPM2.5are

    considered.) GiventheannualchangeindieselPM2.5concentrations,BenMAPcalculatestheassociated

    changeinadversehealtheffects,suchasprematuremortality. Toestimatetheeconomicvalueofthese

    healtheffects,IusedEPAunitvaluesandperformedthecalculationswithSAS(version9.2).

    2.1AnnualAverageAmbientDieselConcentrations

    TheNATAprogramestimatedtractleveldirectdieselparticlecontributionstoambientPM2.5concentrationsforonroadandoffroadsources. AtractlevelfilewasaccessedfromtheNATAwebsite

    (http://www.epa.gov/ttn/atw/nata2002/tables.html)andthenformattedforuseinBenMAP.

    2.2 EstimatingCasesofDiesel-RelatedHumanHealthImpacts

    Thefirststepinestimatinghealthimpactsinvolvesthespecificationofhealthimpactfunctions,which

    quantifytherelationshipbetweenchangesinairpollutionandadversehealthimpacts. Atypicalhealth

    impactfunctionforPM2.5hasfourcomponents:

    Effectestimate. Aneffectestimate(beta)quantifiesthechangeinhealtheffectsperunitofchangeinPM2.5,andisderivedfromanepidemiologicalstudy.

    PM2.5change. TheestimatedchangeintheconcentrationofambientPM2.5. Incidencerate. Thebaselineincidencerateforthehealtheffectduetoallcauses. Population. Theaffectedpopulation;theagerangeincludeddependsontheagesincludedin

    theepidemiologicalstudy.

    Thetypicalloglinearhealthimpactfunctionlooksasfollows:

    Anothercommonformforhealthimpactfunctionsisthelogistic,whichappearsasfollows:

    1ThekeydifferencebetweenBenMAPversions3.0and4.0isthatversion4.0hasupdatedmortalityincidence

    ratesbasedonratesfortheperiod20042006(asopposedto19961998).

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    4

    AllofthehealthimpactfunctionsIuseareinoneofthesetwomainforms. Bothtypeshavethesame

    fourelements. AppendixAderivesthesetwoformsandprovidesadditionaldetailsonindividual

    studies. Table1presentsthePM2.5relatedhealthendpointsincludedinthisanalysis.

    Table1. EpidemiologicalStudiesUsedtoEstimateAdverseHealthImpactsofDieselParticles

    Endpoint Author AgeMortality,AllCause Ladenetal 2599

    Mortality,AllCause Popeetal(2002) 3099

    Mortality,AllCause Woodruffetal(1997) Infant

    ChronicBronchitis Abbeyetal(1995c) 2799

    HeartAttack,Nonfatal Petersetal(2001) 1899

    HA,AllCardiovascular(lessMyocardialInfarctions) Moolgavkar(2000b) 1864

    HA,AllCardiovascular(lessMyocardialInfarctions) Moolgavkar(2003) 6599

    HA,CongestiveHeartFailure Ito(2003) 6599

    HA,Dysrhythmia Ito(2003) 6599

    HA,IschemicHeartDisease(lessMyocardialInfarctions) Ito(2003) 6599

    HA,Pneumonia Ito(2003) 6599HA,ChronicLungDisease(lessAsthma) Moolgavkar(2000a) 1864

    HA,ChronicLungDisease Ito(2003) 6599

    HA,ChronicLungDisease Moolgavkar(2003) 6599

    HA,Asthma Sheppard(2003) 064

    EmergencyRoomVisits,Asthma Norrisetal(1999) 017

    AcuteBronchitis Dockeryetal(1996) 812

    LowerRespiratorySymptoms SchwartzandNeas(2000) 714

    UpperRespiratorySymptoms Popeetal(1991) 911

    AsthmaExacerbation,Cough Ostroetal(2001) 618

    AsthmaExacerbation,ShortnessofBreath Ostroetal(2001) 618

    AsthmaExacerbation,Wheeze Ostroetal(2001) 618

    AsthmaExacerbation,Cough Vedaletal(1998) 618WorkLossDays(WLD) Ostro(1987) 1864

    MinorRestrictedActivityDays(MRAD) Ostroand Rothschild(1989) 1864

    Note:HA=hospitaladmissions.

    2.3 ValuingEstimatedHealthImpacts

    Estimatingtheeconomicbenefitoftheestimatedchangeinhealthincidence,Imultipliedthenumberof

    adversecasesofaspecifictypeofeffect(e.g.,mortality)byitsassociatedunitvalueandthenadjusted

    fortheestimatedchangeinincomebetween1990and2002:

    Table2presentsthemeanestimateoftheunitvaluesusedinthisanalysis. Asdescribedinthenext

    subsection,theapproachIusetoadjustforincomefollowstheapproachusedbyEPAinrecent

    regulatoryanalyses. Inadditiontoadjustingforincome,Ialsoadjustthemortalityestimatetoaccount

    foranassumeddistributionofdeathsovertime. Thismortalityadjustment(describedbelow)isalsoan

    approachusedbyEPAinrecentregulatoryanalyses.

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    Table2. UnitValuesforEconomicValuationofHealthEndpoints(basedon2002 incomeand2008$)

    HealthEndpoint AgeRange UnitValueMortality* 0 99 $8,300,000

    ChronicBronchitis 27 99 $450,000

    AcuteMyocardialInfarction,Nonfatal** 0 24 $92,000

    AcuteMyocardialInfarction,Nonfatal 25 44 $103,000

    AcuteMyocardialInfarction,Nonfatal 45 54 $109,000

    AcuteMyocardialInfarction,Nonfatal 55 64 $190,000

    AcuteMyocardialInfarction,Nonfatal 65 99 $92,000

    HA,AllCardiovascular(lessAMI) 18 64 $31,700

    HA,AllCardiovascular(lessAMI) 65 99 $29,500

    HA,CongestiveHeartFailure 65 99 $21,200

    HA,Dysrhythmia 65 99 $21,200

    HA,IschemicHeartDisease(lessAMI) 65 99 $36,100

    HA,Pneumonia 65 99 $24,800

    HA,ChronicLungDisease(lessAsthma) 1864 $17,200

    HA,ChronicLungDisease 65 99 $18,700

    HA,Asthma 0 64 $10,800

    AsthmaERVisits*** 0 17 $399AcuteBronchitis 8 12 $470

    LowerResp.Symptoms 7 14 $20

    UpperResp.Symptoms 9 11 $31

    AsthmaExacerbation,Cough 6 18 $54

    AsthmaExacerbation,ShortnessofBreath 6 18 $54

    AsthmaExacerbation,Wheeze 6 18 $54

    WorkLossDays(WLD) 18 64 $161

    MinorRestrictedActivityDays(MRAD) 18 64 $67

    NOTE:Numbersroundedtothreesignificantdigits. HA=hospitaladmissions. *Mortalityvalueafteradjustment

    for20yearlag.**Theagespecificacutemyocardialinfarctionunitvaluesarebasedonanaverageoftwo

    estimates:onebasedonRussell(1998)andonebasedonWittels(1990). **TheasthmaERvisitvalueisan

    averageoftwoestimates:onebasedonSmithetal(1997)andtheotherbasedonStanfordetal(1999).****

    Countyspecificmediandailywage.

    IncomeAdjustment

    Thereisevidencethataspeoplesincomeincreases,theirwillingnesstopay(WTP)toavoidadverse

    healthimpactsalsoincreases. EconomistsestimateelasticitiestodescribebywhatpercentWTPgoes

    upforagivenpercentageincreaseinincome. Asitturnsout,theseestimatedelasticitiesaremuchless

    thanone,however,thereisconsiderableuncertaintyovertheprecisevalue. Ifollowtheapproachused

    byEPAinrecentregulatoryanalyses(U.S.EPA2008b),whichusedelasticityestimatesthatvarybytype

    ofhealtheffect,withrelativelyminoreffectshavingasmallerelasticitythanmoresevereeffects.

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    Table3. ElasticityofWTPbyTypeofHealthEffectHealthEffect CentralElasticityEstimateMinorHealthEffect 0.14

    Severe&ChronicHealthEffects 0.45

    PrematureMortality 0.4

    Source:EPA(2005,p.418).

    Multiplyingtheseelasticitiesbyhistoricalandforecastedincomedata,EPAdevelopedincome

    adjustmentfactorswhichIuseinthisreport. Table4presentstheyear2002incomeadjustmentfactors

    thatIuse,alongwiththeinterveningyearsbetween1990(theassumedincomeyearforthevaluation

    estimates)and2002(theyearofinterest).

    Table4. IncomeAdjustmentFactorsbyTypeofHealthEffect

    Year Mortality Severe Minor1990 1.000 1.000 1.000

    1991 0.992 0.991 0.997

    1992 0.998 0.998 0.999

    1993 1.003 1.003 1.001

    1994 1.013 1.014 1.004

    1995 1.017 1.019 1.006

    1996 1.024 1.027 1.008

    1997 1.034 1.039 1.012

    1998 1.039 1.044 1.013

    1999 1.043 1.048 1.015

    2000 1.039 1.043 1.013

    2001 1.044 1.049 1.015

    2002 1.050 1.056 1.017

    NotethatbecauseofalackofdataonthedependenceofCOIonincome,andalackofdataon

    projectedgrowthinaveragewages,noadjustmentsaremadetobenefitsestimatesbasedontheCOI

    approachortoworklossdaysandworkerproductivitybenefitsestimates.Thislackofadjustmentwould

    tendtoresultinanunderpredictionofbenefitsinfutureyears,becauseitislikelythatincreasesinreal

    U.S.incomewouldalsoresultinincreasedCOI(due,forexample,toincreasesinwagespaidtomedical

    workers)andincreasedcostofworklossdaysandlostworkerproductivity(reflectingthatifworker

    incomesarehigher,thelossesresultingfromreducedworkerproductionwouldalsobehigher).

    MortalityAdjustment

    Thedelay,orlag,betweenchangesinPMexposuresandchangesinmortalityratesisnotprecisely

    known. Thecurrentscientificliteratureonadversehealtheffects,suchasthoseassociatedwithPM

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    (e.g.,smokingrelateddisease),andthedifferenceintheestimatedeffectofchronicexposurestudies

    versusdailymortalitystudies,suggeststhatitislikelythatnotallcasesofavoidedprematuremortality

    associatedwithagivenincrementalreductioninPMexposurewouldoccurinthesameyearasthe

    exposurereduction.

    FollowingrecentEPAanalyses(U.S.EPA2006,p.521),Iassumea20yearlagstructure,with30percentofprematuredeathsoccurringinthefirstyear,50percentoccurringevenlyoveryears2to5afterthe

    reductioninPM2.5,and20percentoccurringevenlyoveryears6to20afterthereductioninPM2.5.It

    shouldbenotedthattheselectionofa20yearlagstructureisnotdirectlysupportedbyanyPMspecific

    literature. Rather,itisintendedtobeareasonableestimateoftheappropriatetimedistributionof

    avoidedcasesofPMrelatedmortality. AsnotedbyEPA,thedistributionofdeathsoverthelatency

    periodisintendedtoreflectthecontributionofshorttermexposuresinthefirstyear,cardiopulmonary

    deathsinthe2 to5yearperiod,andlongtermlungdiseaseandlungcancerinthe6 to20yearperiod.

    Finally,itisimportanttokeepinmindthatchangesinthelagassumptionsdonotchangethetotal

    numberofestimateddeathsbutratherthetimingofthosedeaths.

    Specifyingthelagisimportantbecausepeoplearegenerallywillingtopaymoreforsomethingnowthan

    forthesamethinglater. Theywould,forexample,bewillingtopaymoreforareductionintheriskof

    prematuredeathinthesameyearasexposureisreducedthanforthatsameriskreductiontobe

    receivedthefollowingyear. Thistimepreferenceforreceivingbenefitsnowratherthanlateris

    expressedbydiscountingbenefitsreceivedlater. Theexactdiscountratethatisappropriate(i.e.,that

    representspeoplestimepreference)isatopicofmuchdebate. EPAhasoftenusedadiscountrateof

    threepercent,andIuseathreepercentrateforthisanalysisinconjunctionwiththe20yearlag

    structuredescribedabove.

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    3. Results

    Table5summarizestheonroadandoffroaddieselimpacts. Detailsonthecalculationsareprovidedin

    Chapter2andAppendixA.

    Table5. Onroad&OffroadDieselHealthImpactsin2002

    OnRoadDiesel OffRoad DieselHealthImpact Cases Value(million

    2008$) Cases Value(million2008$)Mortality,Adult(Ladenetal,2006) 11,200 $84,200 23,900 $180,000

    Mortality,Adult(Popeetal,2002) 4,360 $32,800 9,350 $70,300

    Mortality,Infant 39 $324 86 $710

    ChronicBronchitis 2,880 $1,300 6,250 $2,810HeartAttack,Nonfatal 6,330 $727 13,500 $1,550

    HA,AllCardiovascular 2,020 $58 4,360 $126

    HA,Respiratory 1,470 $27 3,180 $58

    ERVisits,Asthma 3,920 $2 8,500 $3

    AcuteBronchitis 7,870 $4 16,900 $8

    LowerResp.Symptoms 93,800 $2 202,000 $4

    UpperResp.Symptoms 71,300 $2 156,000 $5

    AsthmaExacerbation 154,000 $8 336,000 $18

    WLD 616,000 $99 1,350,000 $217

    MRAD 3,590,000 $240 7,850,000 $526

    Note:HA=hospitaladmissions. ER=emergencyroom.WLD=worklossdays. MRAD=minorrestrictedactivity

    days. Resultsroundedtothreedigits.

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    AppendixA. HumanHealthImpactFunction

    Details

    Thisappendixpresentsthederivationofthetwomainhealthimpactfunctionsusedinthisanalysis(log

    linearandlogistic),aswellasdetailsoneachfunctionused.

    A.1 DerivingHealthImpactFunctions

    Below,Ipresentaderivationofthemeancoefficientestimatesforloglinearandlogistichealthimpact

    functions.

    Log-Linear

    Derivation

    PM

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    conditionscontrolunderlevelsPMPM

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    10

    ( )

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    LogisticDerivation

    riablevaPMtheoftcoefficien

    tscoefficienofvector

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    PMPMPM

    conditionscontrolunderlevelsPMPM

    conditionsbaselineunderlevelsPMPM

    yyy

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    11

    c

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    A.2 PM2.5HealthImpactFunctions

    Thisanalysisusesarangeofhealthimpactfunctions,includingthosetoestimateprematuremortality,

    chronicbronchitis,andhospitaladmissions.Thesehealthimpactfunctionsarethesameonesusedin

    recentEPAregulatoryimpactanalyses(e.g.,U.S.EPA2008b).

    NotethattheinputtoBenMAPistheannualaveragecontributionofdieselparticlestopopulation

    exposureofPM2.5. ToestimatethechangeinhealtheffectsassociatedwithdailychangesinPM2.5,

    BenMAPassumesthattheannualchangeisareasonableproxyandmultipliestheresultby365. Since

    thehealthimpactfunctionsarereasonablylinear,theeffectofthisassumptionissmall,generallywithin

    afewpercent,evenforfairlyextremeassumptions.

    Below,IpresentatablewiththehealthimpactfunctionsusedtoestimatePM2.5relatedadversehealth

    effects. Followingthistable,Ipresentabriefsummaryofeachofthestudiesalongwithdetailsnotin

    thesummarytable.

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    Table6. DetailsofPM2.5HumanHealthImpactFunctions

    EndpointName Study Location Age Beta StdErrorAdultmortality Ladenetal(2002) 6cities 2599 0.014842 0.004170Adultmortality Popeetal(2002) 51cities 3099 0.005827 0.002157Infantmortality

    Woodruff

    et

    al(1997) 86

    cities 0

    0

    0.003922 0.001221ChronicBronchitis Abbeyetal(1995c) California 2799 0.013185 0.006796

    HeartAttack,Nonfatal Petersetal(2001) Boston,MA 1899 0.024121 0.009285

    CongestiveHeartFailure Ito(2003) Detroit,MI 6599 0.003074 0.001292

    Dysrhythmia Ito(2003) Detroit,MI 6599 0.001249 0.002033

    IschemicHeartDisease(lessAMI) Ito(2003) Detroit,MI 6599 0.001435 0.001156

    ChronicLungDisease Ito(2003) Detroit,MI 6599 0.001169 0.002064

    Pneumonia Ito(2003) Detroit,MI 6599 0.003979 0.001659

    AllCardiovascular(lessAMI) Moolgavkar(2000b) LosAngeles,CA 1864 0.001400 0.000341

    ChronicLungDisease(lessAsthma) Moolgavkar(2000b) LosAngeles,CA 1864 0.002200 0.000733

    AllCardiovascular(lessAMI) Moolgavkar(2003) LosAngeles,CA 6599 0.001580 0.000344

    ChronicLungDisease Moolgavkar(2003) LosAngeles,CA 6599 0.001850 0.000524

    Asthma Sheppard(2003) Seattle,WA 064 0.003324 0.001045

    EmergencyRoomVisits,Asthma Norrisetal(1999) Seattle,WA 017 0.016527 0.004139MinorRestrictedActivityDays(MRAD) Ostro&Rothschild

    (1989)

    Nationwide 1864 0.007410 0.000700

    AcuteBronchitis Dockeryetal(1996) 24communities 812 0.027212 0.017096

    WorkLossDays(WLD) Ostro(1987) Nationwide 1864 0.004600 0.000360

    LowerRespiratorySymptoms SchwartzandNeas

    (2000)

    6U.S.cities 714 0.019012 0.006005

    AsthmaExacerbation,Cough Ostroetal(2001) LosAngeles,CA 618 0.000985 0.000747

    AsthmaExacerbation,Shortnessof

    Breath

    Ostroetal LosAngeles,CA 618 0.002565 0.001335

    AsthmaExacerbation,Wheeze Ostroetal LosAngeles,CA 618 0.001942 0.000803

    AsthmaExacerbation,Cough Vedaletal(1998) Vancouver,CAN 618 0.007696 0.003786

    UpperRespiratorySymptoms Popeetal(1991) UtahValley 911 0.0036 0.0015

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    Mortality,AllCause(Ladenetal.2006)TheLadenetal(2002)analysisisalongitudinalcohorttrackingstudythatusesthesamesixcitycohort

    astheoriginalDockeryetal(1993)study,andtheKrewskietal(2000)reanalysis. Akeydifferenceis

    thattheLadenetalstudyusedalongerfollowupperiod.

    ThecoefficientandstandarderrorforPM2.5areestimatedfromtherelativerisk(1.16)and

    95%confidenceinterval(1.071.26)associatedwithachangeinannualmeanexposureof

    10.0 g/m3(Ladenetal.2006,p.667).

    FunctionalForm:LoglinearCoefficient:0.014842

    StandardError:0.004170IncidenceRate:countyspecificannualallcausemortalityrateperpersonages25andolderPopulation:populationofages25andolder.

    Mortality,AllCause(Popeetal.2002)

    ThePopeetal(2002)analysisisalongitudinalcohorttrackingstudythatusesthesameAmerican

    CancerSocietycohortastheoriginalPopeetal(1995)study,andtheKrewskietal(2000)reanalysis.

    Popeetal(2002)analyzedsurvivaldataforthecohortfrom1982through1998,9yearslongerthanthe

    originalPopestudy. Popeetal(2002)followedKrewskietal(2000)andPopeetal(1995,Table2)and

    reportedresultsforallcausedeaths,lungcancer(ICD9code:162),cardiopulmonarydeaths(ICD9

    codes:401440and460519),andallotherdeaths.2Liketheearlierstudies,Popeetal(2002)found

    thatmeanPM2.5issignificantlyrelatedtoallcauseandcardiopulmonarymortality. Inaddition,Popeet

    al(2002)foundasignificantrelationshipwithlungcancermortality,whichwasnotfoundintheearlier

    studies. Noneofthethreestudiesfoundasignificantrelationshipwithallotherdeaths.

    ThecoefficientandstandarderrorforPM2.5usingtheaverageof7983and9900PMdataare

    estimatedfromtherelativerisk(1.06)and95%confidenceinterval(1.021.11)associatedwithachange

    inannualmeanexposureof10 g/m3.Popeetal(2002,Table2).

    FunctionalForm:LoglinearCoefficient:0.005827

    StandardError:0.002157IncidenceRate:countyspecificannualallcausemortalityrateperpersonages30andolderPopulation:populationofages30andolder.

    InfantMortality(Woodruffetal.1997)

    Inastudyoffourmillioninfantsin86U.S.metropolitanareasconductedfrom1989to1991,Woodruff

    etal(1997)foundasignificantlinkbetweenPM10exposureinthefirsttwomonthsofaninfantslife

    withtheprobabilityofdyingbetweentheagesof28daysand364days. PM10exposurewassignificant

    forallcausemortality. PM10wasalsosignificantforrespiratorymortalityinaveragebirthweight

    infants,butnotlowbirthweightinfants.

    2 Allcausemortalityincludesaccidents,suicides,homicidesandlegalinterventions. Thecategoryallotherdeathsis

    allcausemortalitylesslungcancerandcardiopulmonarydeaths.

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    Thecoefficientandstandarderrorarebasedontheoddsratio(1.04)and95%confidenceinterval(1.02

    1.07)associatedwitha10 g/m3changeinPM10(Woodruffetal.1997,Table3).

    FunctionalForm:LogisticCoefficient:0.003922StandardError:0.001221IncidenceRate:countyspecificannualpostneonatal3infantdeathsperinfantundertheageofonePopulation:populationofinfantsunderoneyearold.ChronicBronchitis (Abbeyetal.1995b)Abbeyetal(1995b)examinedtherelationshipbetweenestimatedPM2.5(annualmeanfrom1966to

    1977),PM10(annualmeanfrom1973to1977)andTSP (annualmeanfrom1973to1977)andthesame

    chronicrespiratorysymptomsinasamplepopulationof1,868CalifornianSeventhDayAdventists. The

    initialsurveywasconductedin1977andthefinalsurveyin1987. Toensureabetterestimateof

    exposure,thestudyparticipantshadtohavebeenlivinginthesameareaforanextendedperiodof

    time. Insinglepollutantmodels,therewasastatisticallysignificantPM2.5relationshipwithdevelopmentofchronicbronchitis,butnotforAODorasthma;PM10wassignificantlyassociatedwith

    chronicbronchitisandAOD;andTSPwassignificantlyassociatedwithallcasesofallthreechronic

    symptoms. Otherpollutantswerenotexamined.

    Theestimatedcoefficient(0.0137)ispresentedforaoneg/m3changeinPM2.5(Abbeyetal.1995b,

    Table2). Thestandarderroriscalculatedfromthereportedrelativerisk(1.81)and95%confidence

    interval(0.983.25)fora45g/m3changeinPM2.5(Abbeyetal.1995b,Table2).

    FunctionalForm:LogisticCoefficient:0.0137

    StandardError:0.00680IncidenceRate:annualbronchitisincidencerateperperson(Abbeyetal.1993,Table3)=0.00378Population:populationofages27andolder4withoutchronicbronchitis=95.57%ofpopulation27+.5

    AcuteMyocardialInfarction(HeartAttacks),Nonfatal(Petersetal.2001)

    Petersetal(2001)studiedtherelationshipbetweenincreasedparticulateairpollutionandonsetof

    heartattacksintheBostonareafrom1995to1996. TheauthorsusedairqualitydataforPM10,PM102.5,

    PM2.5,blackcarbon,O3,CO,NO2,andSO2inacasecrossoveranalysis. Foreachsubject,thecase

    periodwasmatchedtothreecontrolperiods,each24hoursapart. Inunivariateanalyses,theauthors

    observedapositiveassociationbetweenheartattackoccurrenceandPM2.5levelshoursbeforeanddays

    beforeonset. Theauthorsestimatedmultivariateconditionallogisticmodelsincludingtwohourand

    twentyfourhourpollutantconcentrationsforeachpollutant. Theyfoundsignificantandindependent

    associationsbetweenheartattackoccurrenceandbothtwohourandtwentyfourhourPM2.5

    concentrationsbeforeonset. SignificantassociationswereobservedforPM10aswell. Noneoftheother

    3Postneonatalreferstoinfantsthatare28daysto364daysold.

    4Usingthesamedataset,Abbeyetal(1995a,p.140)reportedtherespondentsin1977rangedinagefrom27to95.

    5TheAmericanLungAssociation (2002b,Table4) reportsachronicbronchitisprevalencerateforages18andoverof

    4.43%(AmericanLungAssociation2002b).

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    particlemeasuresorgaseouspollutantsweresignificantlyassociatedwithacutemyocardialinfarction

    forthetwohourortwentyfourhourperiodbeforeonset.

    Themeanageofparticipantswas62yearsold,with21%ofthestudypopulationundertheageof50. In

    ordertocapturethefullmagnitudeofheartattackoccurrencepotentiallyassociatedwithairpollution

    andbecauseagewasnotlistedasaninclusioncriteriaforsampleselection,BenMAPassumesanagerangeof18andoverinthehealthimpactfunction. AccordingtotheNationalHospitalDischargeSurvey,

    therewerenohospitalizationsforheartattacksamongchildren

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    FunctionalForm:LoglinearCoefficient:0.003324

    StandardError:0.001045IncidenceRate:regionspecificdailyhospitaladmissionrateforasthmaadmissionsperperson

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    Ages65andolder(Moolgavkar2003)Thecoefficientandstandarderrorarecalculatedfromanestimatedpercentagechangeof1.85

    andt

    statisticof3.53fora10 g/m3increaseinPM2.5inthe2daylagGAM30dfstringent(108)model

    (Moolgavkar2003,Table17).

    FunctionalForm:LoglinearCoefficient:0.001833

    StandardError:0.000519IncidenceRate:regionspecificdailyhospitaladmissionrateforchroniclungdiseaseadmissionsperperson65+(ICDcodes490496)

    Population:populationofages65andolder.HospitalAdmissionsforAllCardiovascular(Moolgavkar2000b;2003)

    Moolgavkar(2000b)examinedtheassociationbetweenairpollutionandcardiovascularhospital

    admissions(ICD390448)intheChicago,LosAngeles,andPhoenixmetropolitanareas. Hecollecteddailyairpollutiondataforozone,SO2,NO2,CO,andPM10inallthreeareas. PM2.5datawasavailable

    onlyinLosAngeles. ThedatawereanalyzedusingaPoissonregressionmodelwithgeneralizedadditive

    modelstoadjustfortemporaltrends. Separatemodelswererunfor0to5daylagsineachlocation.

    Amongthe65+agegroup,thegaseouspollutantsgenerallyexhibitedstrongereffectsthanPM10or

    PM2.5. ThestrongestoveralleffectswereobservedforSO2andCO. Inasinglepollutantmodel,PM2.5

    wasstatisticallysignificantforlag0andlag1. IncopollutantmodelswithCO,thePM2.5effectdropped

    outandCOremainedsignificant. Forages2064,SO2andCOexhibitedthestrongesteffectandany

    PM2.5effectdroppedoutincopollutantmodelswithCO.

    InresponsetoconcernswiththeSplusissue,Moolgavkar(2003)reanalyzedhisearlierstudy. Inthereanalysis,hereportedthatmoregeneralizedadditivemodelswithstringentconvergencecriteriaand

    generalizedlinearmodelsresultedinsmallerrelativeriskestimates. Notalloftheoriginalresultswere

    replicated,soBenMAPusesamixofhealthimpactfunctionsfromthereanalysisandfromtheoriginal

    study(whenthereanalyzedresultswerenotavailable). ThePM2.5CRfunctionsarebasedonsingle

    pollutantandcopollutant(PM2.5andCO)models.

    NotethatMoolgavkar(2000b)reportedresultsthatincludeICDcode410(heartattack). Iestimate

    avoidednonfatalheartattacksusingtheresultsreportedbyPetersetal(2001). Inordertoavoid

    doublecountingheartattackhospitalizations,ICDcode410wasexcludedfromthebaselineincidence

    rateusedinthisfunction.

    8AlthoughMoolgavkar(2000a)reportsresultsforthe2064yearoldagerange,forcomparabilitytootherstudies,we

    applytheresultstothepopulationofages18to64.

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    Ages18to64(Moolgavkar2000a)Thesinglepollutantcoefficientandstandarderrorarecalculatedfromanestimatedpercentchangeof

    1.4andtstatisticof4.1fora10 g/m3increaseinPM2.5inthezerolagmodel(Moolgavkar2000b,Table

    4).

    FunctionalForm:LoglinearCoefficient:0.0014

    StandardError:0.000341IncidenceRate:regionspecificdailyhospitaladmissionrateforallcardiovascularadmissionsperpersonages18to64(ICDcodes390409,411429)

    Population:populationofages18to64.9Ages65andolder(Moolgavkar2003)Thesinglepollutantcoefficientandstandarderrorarecalculatedfromanestimatedpercentchangeof

    1.58andtstatisticof4.59fora10 g/m3increaseinPM2.5inthe0daylagGAM30dfstringent(108)

    model(Moolgavkar2003,Table12).

    FunctionalForm:LoglinearCoefficient:0.001568

    StandardError:0.000342IncidenceRate:regionspecificdailyhospitaladmissionrateforallcardiovascularadmissionsperperson65+(ICDcodes390409,411429)

    Population:populationofages65andolder.HospitalAdmissionsforRespiratory&CardiovascularCauses(Ito2003)

    Lippmannetal(2000)studiedtheassociationbetweenparticulatematteranddailymortalityand

    hospitalizationsamongtheelderlyinDetroit,MI. Datawereanalyzedfortwoseparatestudyperiods,

    19851990and19921994. The19921994studyperiodhadagreatervarietyofdataonPMsizeand

    wasthemainfocusofthereport. Theauthorscollectedhospitalizationdataforavarietyof

    cardiovascularandrespiratoryendpoints. TheyuseddailyairqualitydataforPM10,PM2.5,andPM102.5in

    aPoissonregressionmodelwithgeneralizedadditivemodels(GAM)toadjustfornonlinearrelationships

    andtemporaltrends. Insinglepollutantmodels,allPMmetricswerestatisticallysignificantfor

    pneumonia(ICDcodes480486),PM102.5andPM10weresignificantforischemicheartdisease(ICDcode

    410414),andPM2.5andPM10weresignificantforheartfailure(ICDcode428). Therewerepositive,but

    notstatisticallysignificantassociations,betweenthePMmetricsandCOPD(ICDcodes490496)anddysrhythmia(ICDcode427). InseparatecopollutantmodelswithPMandeitherozone,SO2,NO2,or

    CO,theresultsweregenerallycomparable. ThePM2.5CRfunctionsarebasedonresultsofthesingle

    pollutantmodelandcopollutantmodelwithozone.

    9AlthoughMoolgavkar(2000a)reportsresultsforthe2064yearoldagerange,forcomparabilitytootherstudies,we

    applytheresultstothepopulationofages18to64.

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    InresponsetoconcernswiththeSplusissue,Ito(2003) reanalyzedthestudybyLippmannetal(2000).

    ThereanalysisbyItoreportedthatmoregeneralizedadditivemodelswithstringentconvergencecriteria

    andgeneralizedlinearmodelsresultedinsmallerrelativeriskestimates.

    ChronicLungDiseaseThecoefficientandstandarderrorarebasedontherelativerisk(1.043)and95%confidenceinterval

    (0.9021.207)fora36 g/m3increaseinPM2.5inthe3daylagGAMstringentmodel(Ito2003,Table8).

    FunctionalForm:LoglinearCoefficient:0.001169

    StandardError:0.002064IncidenceRate:regionspecificdailyhospitaladmissionrateforchroniclungdiseaseadmissionsperperson65+(ICDcodes490496)

    Population:populationofages65andolder.PneumoniaTheestimatedPM2.5coefficientandstandarderrorarebasedonarelativeriskof1.154(95%CI 1.027,

    1.298)duetoaPM2.5changeof36 g/m3inthe1daylagGAMstringentmodel(Ito2003,Table7).

    FunctionalForm:LoglinearCoefficient:0.003979

    StandardError:0.001659IncidenceRate:regionspecificdailyhospitaladmissionrateforpneumoniaadmissionsperperson65+(ICDcodes480487)

    Population:populationofages65andolder.DysrhythmiaThecopollutantcoefficientandstandarderrorarecalculatedfromarelativeriskof1.046(95%CI0.906

    1.207)fora36 g/m3increaseinPM2.5inthe1daylagGAMstringentmodel(Ito2003,Table10).

    FunctionalForm:LoglinearCoefficient:0.001249

    StandardError:0.002033IncidenceRate:regionspecificdailyhospitaladmissionratefordysrhythmiaadmissionsperperson65+(ICDcode427)

    Population:populationofages65andolder.CongestiveHeartFailureThecopollutantcoefficientandstandarderrorarecalculatedfromarelativeriskof1.117(95%CI1.020

    1.224)fora36 g/m3increaseinPM2.5inthe1daylagGAMstringentmodel(Ito2003,Table11).

    FunctionalForm:LoglinearCoefficient:0.003074

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    StandardError:0.001292IncidenceRate:regionspecificdailyhospitaladmissionrateforcongestiveheartfailureadmissionsperperson65+(ICDcode428)

    Population:populationofages65andolder.IschemicHeartDiseaseThecopollutantcoefficientandstandarderrorarecalculatedfromarelativeriskof1.053(95%CI0.971

    1.143)fora36 g/m3increaseinPM2.5inthe1daylagGAMstringentmodel(Ito2003,Table9).

    FunctionalForm:LoglinearCoefficient:0.001435

    StandardError:0.001156IncidenceRate:regionspecificdailyhospitaladmissionrateforischemicheartdiseaseadmissionsperperson65+(ICDcodes411414)10

    Population:populationofages65andolder.EmergencyRoomVisitsforAsthma(Norrisetal.1999)

    Norrisetal(1999)examinedtherelationbetweenairpollutioninSeattleandchildhood(

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    livingin24communitiesinU.S.andCanada. Healthdatawerecollectedin19881991,andsingle

    pollutantmodelswereusedintheanalysistotestanumberofmeasuresofparticulateairpollution.

    Dockeryetalfoundthatannuallevelofsulfatesandparticleacidityweresignificantlyrelated to

    bronchitis,andPM2.1andPM10weremarginallysignificantlyrelatedtobronchitis.11Theyalsofound

    nitrateswerelinkedtoasthma,andsulfateslinkedtochronicphlegm. Itisimportanttonotethatthe

    studyexaminedannualpollutionexposures,andtheauthorsdidnotruleoutthatacute(daily)

    exposurescouldberelatedtoasthmaattacksandotheracuteepisodes.

    Bronchitiswascountedinthestudyonlyiftherewerereportsofsymptomsinthepast12

    months(Dockeryetal.1996,p.501). Itisunclear,however,ifthecasesofbronchitisareacuteand

    temporary,orifthebronchitisisachroniccondition. DockeryetalfoundnorelationshipbetweenPM

    andchroniccoughandchronicphlegm,whichareimportantindicatorsofchronicbronchitis. Iassume

    thatthehealthimpactfunctionbasedonDockeryetalismeasuringacutebronchitis.

    Theestimatedlogisticcoefficientandstandarderrorarebasedontheoddsratio(1.50)and95%

    confidenceinterval(0.912.47)associatedwithbeinginthemostpollutedcity(PM2.1

    =20.7 g/m3)

    versustheleastpollutedcity(PM2.1=5.8 g/m3)(Dockeryetal.1996,Tables1and4).Theoriginalstudy

    usedPM2.1,however,BenMAPusesthePM2.1coefficientandapplyittoPM2.5data.

    FunctionalForm:LogisticCoefficient:0.027212

    StandardError:0.017096IncidenceRate:annualbronchitisincidencerateperperson=0.043(AmericanLungAssociation2002c,Table11)

    Population:populationofages812.LowerRespiratorySymptoms(SchwartzandNeas2000)

    SchwartzandNeas(2000)usedlogisticregressiontolinklowerrespiratorysymptomsandcoughin

    childrenwithcoarsePM10,PM2.5,sulfateandH+(hydrogenion). Childrenwereselectedforthestudyif

    theywereexposedtoindoorsourcesofairpollution:gasstovesandparentalsmoking. Thestudy

    enrolled1,844childrenintoayearlongstudythatwasconductedindifferentyears(1984to1988)insix

    cities. Thestudentswereingradestwothroughfiveatthetimeofenrollmentin1984. Bythe

    completionofthefinalstudy,thecohortwouldthenbeintheeighthgrade(ages1314);thissuggests

    anagerangeof7to14.

    Thecoefficientandstandarderrorarecalculatedfromthereportedoddsratio(1.33)and95%confidenceinterval(1.111.58)associatedwitha15g/m3changeinPM2.5(SchwartzandNeas2000,

    Table2).

    FunctionalForm:Logistic11TheoriginalstudymeasuredPM2.1,howeverwhenusingthestudy'sresultsweusePM2.5. Thismakesonlyanegligible

    difference,assumingthattheadverseeffectsofPM2.1andPM2.5arecomparable.

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    Coefficient:0.01901

    StandardError:0.006005IncidenceRate:dailylowerrespiratorysymptomincidencerateperperson=0.0012(Schwartzetal.1994,Table2).

    Population:populationofages7to14.

    MinorRestrictedActivityDays(Ostro1989)

    OstroandRothschild(1989)estimatedtheimpactofPM2.5andozoneontheincidenceofminor

    restrictedactivitydays(MRADs)andrespiratoryrelatedrestrictedactivitydays(RRADs)inanational

    sampleoftheadultworkingpopulation,ages18to65,livinginmetropolitanareas. Theannualnational

    surveyresultsusedinthisanalysiswereconductedin19761981. ControllingforPM2.5,twoweek

    averageozonehashighlyvariableassociationwithRRADsandMRADs. Controllingforozone,twoweek

    averagePM2.5wassignificantlylinkedtobothhealthendpointsinmostyears.12 TheCRfunctionforPM

    isbasedonthiscopollutantmodel.

    Usingtheresultsofthetwopollutantmodel,separatecoefficientsweredevelopedforeachyearinthe

    analysis,whichwerethencombinedforuseinthisanalysis. Thecoefficientisaweightedaverageofthe

    coefficientsinOstroandRothschild(1989,Table4)usingtheinverseofthevarianceastheweight. The

    standarderrorofthecoefficientiscalculatedasfollows,assumingthattheestimatedyearspecific

    coefficientsareindependent.

    FunctionalForm:LoglinearCoefficient:0.00741

    StandardError:0.00070IncidenceRate:dailyincidencerateforminorrestrictedactivitydays(MRAD)=0.02137(OstroandRothschild1989,p.243)

    Population:adultpopulationages18to64.13WorkLossDays(Ostro1987)

    Ostro(1987)estimatedtheimpactofPM2.5ontheincidenceofworklossdays(WLDs),restrictedactivity

    days(RADs),andrespiratoryrelatedRADs(RRADs)inanationalsampleoftheadultworkingpopulation,

    ages18to65,livinginmetropolitanareas. Theannualnationalsurveyresultsusedinthisanalysiswere

    conductedin19761981. OstroreportedthattwoweekaveragePM2.5levelsweresignificantlylinkedto

    worklossdays,RADs,andRRADs,howevertherewassomeyeartoyearvariabilityintheresults.14

    12Thestudyusedatwoweekaveragepollutionconcentration;theCRfunctionusesadailyaverage,whichisassumed

    tobeareasonableapproximation.13Thestudyisbasedonaconveniencesampleofnonelderlyindividuals. ApplyingtheCRfunctiontothisage

    groupislikelyaslightunderestimate,asitseemslikelythatelderlyareatleastassusceptibletoPMasindividuals

    under65.14Thestudyusedatwoweekaveragepollutionconcentration;theCRfunctionusesadailyaverage,whichisassumed

    tobeareasonableapproximation.

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    Separatecoefficientsweredevelopedforeachyearintheanalysis(19761981);thesecoefficientswere

    pooled. Thecoefficientusedintheconcentrationresponsefunctionpresentedhereisaweighted

    averageofthecoefficientsinOstro(1987,Table3)usingtheinverseofthevarianceastheweight.

    ThecoefficientusedintheCRfunctionisaweightedaverageofthecoefficientsinOstro(1987,Table3)

    usingtheinverseofthevarianceastheweight. Thestandarderrorofthecoefficientiscalculatedasfollows,assumingthattheestimatedyearspecificcoefficientsareindependent.

    FunctionalForm:LoglinearCoefficient:0.0046

    StandardError:0.00036IncidenceRate:dailyworklossdayincidencerateperpersonages18to64=0.00595(U.S.BureauoftheCensus1997,No.22;Adamsetal.1999,Table41)

    Population:adultpopulationages18to64.15

    AsthmaExacerbation:

    Pooling

    Ostro

    et

    al.

    (2001)

    and

    Vedal

    et

    al.

    (1998)

    IpooltheresultsofstudiesbyOstroetal(2001)andVedaletal(1998)togetanestimateoflower

    respiratorysymptomsinasthmatics. IuseasimpleaverageoftheresultswhenIpoolunlikethe

    analysisperformedforCleanAirInterstateRule(U.S.EPA2005,Table47). Inadditiontothelower

    respiratoryestimate,IincludeanupperrespiratoryestimatebasedonastudybyPopeetal(1991).

    Tocharacterizeasthmaexacerbationsinchildren,EPAusestwostudiesthatfollowedpanelsof

    asthmaticchildren.Ostroetal(2001)followedagroupof138AfricanAmericanchildreninLosAngeles

    for13weeks,recordingdailyoccurrencesofrespiratorysymptomsassociatedwithasthma

    exacerbations(e.g.,shortnessofbreath,wheeze,andcough).Thisstudyfoundastatisticallysignificant

    associationbetweenPM2.5,measuredasa12houraverage,andthedailyprevalenceofshortnessof

    breathandwheezeendpoints.Althoughtheassociationwasnotstatisticallysignificantforcough,the

    resultswerestillpositiveandclosetosignificance;consequently,EPAincludesthisendpoint,alongwith

    shortnessofbreathandwheeze,ingeneratingincidenceestimates.

    Vedaletal(1998)followedagroupofelementaryschoolchildren,including74asthmatics,locatedon

    thewestcoastofVancouverIslandfor18monthsincludingmeasurementsofdailypeakexpiratoryflow

    (PEF)andthetrackingofrespiratorysymptoms(e.g.,cough,phlegm,wheeze,chesttightness)through

    theuseofdailydiaries.AssociationbetweenPM10andrespiratorysymptomsfortheasthmatic

    populationwasonlyreportedfortwoendpoints:coughandPEF.BecauseitisdifficulttotranslatePEF

    measuresintoclearlydefinedhealthendpointsthatcanbemonetized,EPAonlyincludedthecoughrelatedeffectestimatefromthisstudyinquantifyingasthmaexacerbations.

    15Thestudyisbasedonaconveniencesampleofnonelderlyindividuals. ApplyingtheCRfunctiontothisage

    groupislikelyaslightunderestimate,asitseemslikelythatelderlyareatleastassusceptibletoPMasindividuals

    under65.

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    EPAemployedthefollowingpoolingapproachincombiningestimatesgeneratedusingeffectestimates

    fromthetwostudiestoproduceasingleasthmaexacerbationincidenceestimate. First,EPApooledthe

    separateincidenceestimatesforshortnessofbreath,wheeze,andcoughgeneratedusingeffect

    estimatesfromtheOstroetal(2001)study,becauseeachoftheseendpointsisaimedatcapturingthe

    sameoverallendpoint(asthmaexacerbations)andtherecouldbeoverlapintheirpredictions.The

    pooledestimatefromtheOstroetal.studyisthenpooledwiththecoughrelatedestimategenerated

    usingtheVedaletalstudy.Therationaleforthissecondpoolingstepissimilartothefirst;bothstudies

    areattemptingtoquantifythesameoverallendpoint(asthmaexacerbations).

    Topreventdoublecounting,EPA(2005,p.438)focusedtheestimationonasthmaexacerbations

    occurringinchildrenandexcludedadultsfromthecalculation. Asthmaexacerbationsoccurringin

    adultsareassumedtobecapturedinthegeneralpopulationendpointssuchasworklossdaysand

    MRADs.Consequently,ifEPAhadincludedanadultspecificasthmaexacerbationestimate,thiswould

    likelyhavedoublecountedincidenceforthisendpoint.However,becausethegeneralpopulation

    endpointsdonotcoverchildren(withregardtoasthmaticeffects),ananalysisfocusedspecificallyon

    asthmaexacerbationsforchildren(6to18yearsofage)couldbeconductedwithoutconcernfor

    doublecounting.

    AsthmaExacerbation:Cough,Wheeze,andShortnessofBreath(Ostroetal.2001)

    Ostroetal.(2001)studiedtherelationbetweenairpollutioninLosAngelesandasthmaexacerbationin

    AfricanAmericanchildren(8to13yearsold)fromAugusttoNovember1993. Theyusedairqualitydata

    forPM10,PM2.5,NO2,andO3inalogisticregressionmodelwithcontrolforage,income,timetrends,and

    temperaturerelatedweathereffects.1 Asthmasymptomendpointsweredefinedintwoways:

    probabilityofadaywithsymptomsandonsetofsymptomepisodes. Newonsetofasymptom

    episodewasdefinedasadaywithsymptomsfollowedbyasymptomfreeday. TheauthorsfoundcoughprevalenceassociatedwithPM10andPM2.5andcoughincidenceassociatedwithPM2.5,PM10,and

    NO2. Ozonewasnotsignificantlyassociatedwithcoughamongasthmatics.

    NotethatthestudyfocusedonAfricanAmericanchildrenages8to13yearsold. EPAappliesthe

    functionbasedonthisstudytothegeneralpopulationages6to18yearsold.

    AsthmaExacerbation,CoughThecoefficientandstandarderrorarebasedonanoddsratioof1.03(95%CI0.981.07)fora30 g/m3

    increasein12houraveragePM2.5concentration(Ostroetal.2001,Table4,p.204).

    FunctionalForm:LogisticCoefficient:0.000985

    StandardError:0.0007471Theauthorsnotethattherewere26daysinwhichPM2.5concentrationswerereportedhigherthanPM10

    concentrations. Themajorityofresultstheauthorsreportedwerebasedonthefulldataset. Theseresultswereusedfor

    thebasisfortheCRfunctions.

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    IncidenceRate:dailycoughrateperperson(Ostroetal.2001,p.202) =0.145Population:asthmaticpopulationages6to18=5.67%.2AsthmaExacerbation,ShortnessofBreathThecoefficientandstandarderrorarebasedonanoddsratioof1.08(95%CI1.001.17)fora30 g/m3

    increasein12houraveragePM2.5concentration(Ostroetal.2001,Table4,p.204).

    FunctionalForm:LogisticCoefficient:0.002565

    StandardError:0.001335IncidenceRate:dailyshortnessofbreathrateperperson(Ostroetal.2001,p.202)=0.074Population:asthmaticpopulationages6to18=5.67%.AsthmaExacerbation,WheezeThecoefficientandstandarderrorarebasedonanoddsratioof1.06(95%CI1.011.11)fora30 g/m3

    increasein12houraveragePM2.5concentration(Ostroetal.2001,Table4,p.204).

    FunctionalForm:LogisticCoefficient:0.001942

    StandardError:0.000803IncidenceRate:dailywheezerateperperson(Ostroetal.2001,p.202) =0.173Population:asthmaticpopulationages6to18=5.67%.AsthmaExacerbation,Cough(Vedaletal.1998)

    Vedaletal.(1998)studiedtherelationshipbetweenairpollutionandrespiratorysymptomsamong

    asthmaticsandnonasthmaticchildren(ages6to13)inPortAlberni,BritishColumbia,Canada. Four

    groupsofelementaryschoolchildrenweresampledfromapriorcrosssectionalstudy:(1)allchildren

    withcurrentasthma,(2)childrenwithoutdoctordiagnosedasthmawhoexperiencedadropinFEVafter

    exercise,(3)childrennotingroups1or2whohadevidenceofairwayobstruction,and(4)acontrol

    groupofchildrenwithmatchedbyclassroom.

    Theauthorsusedlogisticregressionandgeneralizedestimatingequationstoexaminetheassociation

    betweendailyPM10levelsanddailyincreasesinvariousrespiratorysymptomsamongthesegroups. In

    theentiresampleofchildren,PM10wassignificantlyassociatedwithcough,phlegm,nosesymptoms,andthroatsoreness. Amongchildrenwithdiagnosedasthma,theauthorsreportasignificant

    associationbetweenPM10andcoughsymptoms,whilenoconsistenteffectswereobservedintheother

    groups. Sincethestudypopulationhasanoverrepresentationofasthmatics,duetothesampling

    2TheAmericanLungAssociation(2002a,Table7)estimatesasthmaprevalenceforchildren517at5.67%(basedondata

    fromthe1999NationalHealthInterviewSurvey).

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    strategy,theresultsfromthefullsampleofchildrenarenotgeneralizeabletotheentirepopulation.

    TheCRfunctionpresentedbelowisbasedonresultsamongasthmaticsages6to18.

    ThePM10coefficientandstandarderrorarebasedonanincreaseinoddsof8%(95%CI016%)reported

    intheabstractfora10 g/m3increaseindailyaveragePM10.

    FunctionalForm:LogisticCoefficient:0.007696

    StandardError:0.003786IncidenceRate:dailycoughrateperperson(Vedaletal.1998,Table1,p.1038) =0.086Population:asthmaticpopulationages6to18=5.67%.3UpperRespiratorySymptoms(Pope1991)

    Usinglogisticregression,Popeetal.(1991)estimatedtheimpactofPM10ontheincidenceofavarietyof

    minorsymptomsin55subjects(34schoolbasedand21patientbased)livingintheUtahValley

    fromDecember1989throughMarch1990. ThechildreninthePopeetal.studywereaskedtorecord

    respiratorysymptomsinadailydiary. Withthisinformation,thedailyoccurrencesofupperrespiratory

    symptoms(URS)andlowerrespiratorysymptoms(LRS)wererelatedtodailyPM10concentrations. Pope

    etal.describeURSasconsistingofoneormoreofthefollowingsymptoms: runnyorstuffynose;wet

    cough;andburning,aching,orredeyes. Levelsofozone,NO2,andSO2werereportedlowduringthis

    period,andwerenotincludedintheanalysis.

    Thesampleinthisstudyisrelativelysmallandismostrepresentativeoftheasthmaticpopulation,

    ratherthanthegeneralpopulation. Theschoolbasedsubjects(ranginginagefrom9to11)were

    chosenbasedonapositiveresponsetooneormoreofthreequestions:everwheezedwithoutacold,

    wheezedfor3daysormoreoutoftheweekforamonthorlonger,and/orhadadoctorsaythechild

    hasasthma(Popeetal.1991,p.669). Thepatientbasedsubjects(ranginginagefrom8to72)were

    receivingtreatmentforasthmaandwerereferredbylocalphysicians. Regressionresultsfortheschool

    basedsample(Popeetal.1991,Table5)showPM10significantlyassociatedwithbothupperandlower

    respiratorysymptoms. ThepatientbasedsampledidnotfindasignificantPM10effect. Theresultsfrom

    theschoolbasedsampleareusedhere.

    Thecoefficientandstandarderrorforaoneg/m3changeinPM10isreportedinPopeetal(1991,Table

    5).

    FunctionalForm:LogisticCoefficient:0.0036

    StandardError:0.0015

    3TheAmericanLungAssociation(AmericanLungAssociation2002a)estimatesasthmaprevalenceforchildren517at

    5.67%(basedondatafromthe1999NationalHealthInterviewSurvey).

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    28

    IncidenceRate:dailyupperrespiratorysymptomincidencerateperperson=0.3419(Popeetal.1991,Table2)

    Population:asthmaticpopulationages9to11=5.67%ofpopulationages9to11.4

    4 TheAmericanLungAssociation(2002a,Table7)estimatesasthmaprevalenceforchildrenages5to17at5.67%(based

    ondatafromthe1999NationalHealthInterviewSurvey).

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    29

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