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Ambient Air Toxics & Acute Human Health Effects Air Toxics: What We Know, What We Don t Know, and What We Need to Know University of Houston Hilton, Houston, Texas – PowerPoint PPT presentation

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Title: Ambient Air Toxics & Acute Human Health Effects


1
Ambient Air Toxics Acute Human Health Effects
  • Air Toxics What We Know, What We Dont Know, and
    What We Need to Know
  • University of Houston Hilton, Houston, Texas
  • October 17-18, 2005

Winifred J. Hamilton, PhD, SM Assistant Professor
and Director Environmental Health Section Chronic
Disease Prevention and Control Research
Center Baylor College of Medicine, Houston,
Texas 713.798.1052 hamilton_at_bcm.tmc.edu
2
OUTLINE
  • AIR TOXICSWHAT ARE THEY?
  • HOW DO WE MEASURE EXPOSURE?
  • ACUTE VS CHRONIC DISEASE?
  • HOW DO WE STUDY HEALTH EFFECTS?
  • THE 3 WORKSHOP QUESTIONS
  • Do better exposure estimates lead to stronger
    associations?
  • Is it preferable to focus on acute or chronic
    health effects?
  • Do diseases correlate with exposure?
  • SELECTED AAT HEALTH STUDIES
  • BCM HC AP ADMITS STUDY
  • THE AH, DUH FACTOR

3
1. AIR TOXICSWHAT ARE THEY?
  • Air Toxics (ATs)
  • Definition Gaseous, aerosol or particulate
    pollutants (other than the six criteria
    pollutants) which are present in the air in low
    concentrations with characteristics such as
    toxicity or persistence so as to be a hazard to
    human, plant or animal life (EPHC NEPM,
    Australia)
  • Lists of key ATs vary and change
  • - HAPs ( ATs N 188) - NATA (N 33)
  • - TRI (N 650) - NEPM-AT (N 6)
  • - Calif TACs (N 224) - Calif Hot Spot Program
    (N 18)
  • - Manmade chemicals on the market (N 60,000)
  • Criteria Air Pollutants (CAPs)
  • O3, NO2, SO2, CO, PM, Pb
  • What differentiates the 6 CAPs from the ATs?

4
The 188 HAPS
5
The 188 HAPS continued
6
2. HOW DO WE MEASURE EXPOSURE?
  • Survey (eg, use of pesticides)
  • Microenvironments (eg, RIOPA)
  • Personal monitors
  • All outdoors (eg, Six City)
  • Ambient monitoring network
  • Geospatial
  • Proximity, dispersion, CMAQ, TRI facilities,
    roadways
  • Variables that affect exposure
  • Events (accidents, fireworks)
  • Activity, vehicle use, age, smoking
  • Which chemicals? What averaging schemas?...

7
http//www.epa.gov/triexplorer
8
13.45 ug/m3 6.1 ppbV 1,3-butadiene
9
Monitored Concentrations of Outdoor HAPs
10
The Big ThreeHC a strong contenderBUT lower PM
levels?
http//www.epa.gov/air/data/geosel.html 30
minutes ESLEffect Screening Level NDNo Data
RBRisk Based
11
Measuring Risk
  • U.S. Rating Systems
  • EPAs NAAQSs
  • OSHA/NIOSH
  • LD50
  • EPAs IRIS
  • TCEQs ESLs
  • International
  • WHO (IARC)
  • Australias EPHC is developingNEPM standards for
    5 ATs benzene, formaldehyde, benzo(a)pyrene,
    toluene and xylenes
  • Weak areas in our understanding
  • Low exposure, long duration
  • Subtle effects (cognition, endocrine
    disruption...)
  • Multipollutant and cumulative effects
  • Windows of harm, latency, lag times
  • Differences in susceptibility

12
Measuring Health Risk from Air Toxics
  • National Air Toxics Assessment (NATA)
  • Assesses risk from 32 of the 188 HAPS, plus
    diesel PM
  • Air Toxics Emissions Inventory?
  • Estimate ambient concentrations across US?
  • Estimate population exposures across US?
  • Characterize public health risk (cancer and
    noncancer)?

Relationship of estimated cancer risk from air
toxics with median household income among
Maryland census tracts, 2000 (Apelberg 2005)
http//www.epa.gov/ttn/atw/nata/
13
3. ACUTE VS CHRONIC DISEASE
  • Acute Disease / Health Effects
  • An illness or clinical symptoms that have a rapid
    onset and short but often severe course (eg,
    asthma or heart attack)
  • Chronic Disease / Health Effects
  • An illness or clinical symptoms that are
    prolonged, do not resolve spontaneously, and are
    rarely cured completely (eg, diabetes, cancer,
    multiple sclerosis, hypertension)
  • What differentiates chronic from acute disease?
  • Reversibility? Easier causal connection?
  • Considerable blurring
  • Exacerbations (acute) often require chronic
    disease substrate
  • What of acute exposure (eg, Bhopal) that leads to
    subsequent chronic disease state (eg, emphysema
    and CHF)?
  • Is premature death an acute or chronic effect?

14
Measuring Disease
  • What endpoint?
  • Biomarkers
  • BLLs, cotinine, DNA damage, PSA
  • Community health questionnaire / survey
  • Medication usage
  • Clinic Visit
  • Signs (measurable, eg, FEV, eosinophils)
  • Symptoms (questionnaire, medical history)
  • Diagnosis
  • Hospitalization
  • Emergency room visit
  • Death
  • Who, What, When and Where?

15
4. THE E-D RELATIONSHIP
Example 1,3-Butadiene
16
4. THE E-D RELATIONSHIP continued
  • Types of studies
  • Experimental and clinical trials
  • Population (epidemiologic) studies
  • Case-control (retrospective)
  • Cohort (prospective)
  • Ecologic
  • Mixed
  • Study methodologies
  • Randomization, matching, spatial patterns,
    time-series, surveillance, questionnaire,
    molecular changes, controlling for confounding
  • Money, time and availability of data are major
    constraints
  • Take an environmental health / exposure history!
    Use a standardized form.

17
5. THE 3 WORKSHOP QUESTIONS
  • Do better exposure estimates lead to stronger
    associations?
  • Probablyif youre measuring the right things, if
    you understand the causal pathway (if it exists),
    if you adjust for confounders, if you have
    sufficient numbers.
  • Guard against waiting for the definitive study
  • Is it preferable to focus on acute or chronic
    health effects?
  • Intertwined. Chronic disease is of more public
    health importance, but acute effects easier and
    cheaper to measure and more likely to find useful
    associations for regulatory decisions.
  • Do mortality and morbidity correlate with
    exposure?
  • Correlation with CAPs, esp PM, strong across
    studies.
  • CAPs may in part be surrogates for ATs.
  • AT risk analyses suggest yes, but epi studies
    conflicting

18
6. SELECTED HEALTH STUDIES
  • CAP Major Prospective Studies
  • CAPs ATTs?
  • Ongoing methodological refinement confounder
    control
  • Harvard 6-Cities Study (Dockery 1992, Lippman
    2003, Krewski 2004)
  • 8,111 adults in 6 US cities
  • FU 14-16 yr initial (b 1974-77)
  • 26 mortality PM, sulfates
  • Re-analyses find same
  • American Cancer Society Study (Pope 1994,
    Lippman 2003, Krewski 2004)
  • 295,223 adults in 50 US cities
  • FU 6 yr initial (b 1982)
  • 17 mortality PM
  • Re-analyses find same

19
6. SELECTED HEALTH STUDIES continued
  • Major Retrospective Studies
  • CAPs ATTs? Large Ns refinement of
    methodologies
  • APHEA Air Pollution and Health - European
    Approach
  • 30 European cities, extensive shared db and
    methodologies
  • Multiple studies, publications (gt 40),
    re-analyses
  • NMMAPS National Morbidity, Mortality, and Air
    Pollution Study
  • 90 US cities chosen by size 14-yr period
  • Multiple studies, publications, re-analyses
  • 10-ppb O3 in previous week 0.52 mortality
    (Bell 2004)
  • 0.41 mortality per 10 µg/m3 in PM10 (old
    GAM) 0.27 (new GAM) 0.21 (GLM) (Dominici
    2005)

(right) hospital admissions for ischemic
heart disease in persons gt65 yr per 10 µg/m3
PM10 for 0 1 average lag
Samoli 2003
Le Tertre 2003
20
6. SELECTED HEALTH STUDIES continued
  • Ambient Air Toxics
  • Paucity of studiesfocus on clarifying exposure
  • Oxygenated urban air toxics and asthma
    variability in middle school children A panel
    study (Delclos G, in review)
  • 29 labile asthmatic children, age 10-13, in the
    Aldine school district. Examines measures of lung
    function with personal exposure to air toxics,
    especially aldehydes. Confounders measured
    included other indoor and outdoor pollutants, air
    exchange rate, temperature, humidity and activity
    level. 
  • Increased risk of preterm delivery among people
    living near the three oil refineries in Taiwan
    (Yang 2004)
  • Compared 7,095 first-parity singleton births to
    mothers living within 3 km (1.86 miles) of 3
    refineries with 10 random sample of births in
    rest of Taiwan (N50,388) between 1/1/1994 and
    12/31/1997. Controlled for multiple confounders.
  • Outcome variable of interest preterm delivery
    (lt 37 weeks).
  • AOR 1.14 (1.01-1.28)

21
6. SELECTED HEALTH STUDIES continued
  • Ambient Air Toxics continued
  • The impact of polycyclic aromatic hydrocarbons
    and fine particles on pregnancy outcome (Dejmek
    2000)
  • Compared birth outcomes (IUGR) in two communities
  • Teplice and Prachatice N 3378 and 1505
  • Similar levels of c-PAHs but Teplice has higher
    PM2.5
  • Similar results for each 10 ng c-PAH in first
    gestational month, AOR 1.22 (1.07 1.39) for
    IUGR
  • Suggests earlier association seen with PM due to
    PAH component

22
6. SELECTED HEALTH STUDIES continued
  • Ambient Air Toxics continued
  • Asthma symptoms in Hispanic children and daily
    ambient exposures to toxic and criteria air
    pollutants (Delfino 2003)
  • Panel study of 22 Hispanic asthmatic adolescents
    in LA
  • Measured CAPs plus EC-OC, 10 ATs, asthma symptoms
  • Significant AORs of asthma exacerbation
    associated with interquartile increase in
    pollutant concentrations included1.27
    (1.05-1.54) for 8-hr NO2 1.23 (1.02-1.48) for
    benzene1.37 (1.04-1.80) for formaldehyde 1.85
    (1.11-3.08) for EC1.88 (1.12-3.17) for OC

23
6. SELECTED HEALTH STUDIES continued
  • Ambient Air Toxics
  • Effect of motor vehicle emissions on respiratory
    health in an urban area (Buckeridge 2002)
  • SE Toronto. Ecologic study design
  • Age- and gender-adjusted 1990-1992 hospital
    admission (respiratory vs genitourinary) rates
    by 334 EAs
  • GIS used to create 10-m street buffers to
    estimate EA PM2.5 exposure based on daily
    traffic counts
  • Adjusted for SES
  • RR 1.24 (1.05-1.45) for respiratory subset
    (asthma, bronchitis, COPD, pneumonia, URI) for
    log10 in PM2.5

24
7. BCM HC AP ADMITS STUDY
  • Objective
  • To analyze spatial relationships between hospital
    admissions and air pollution, with special
    attention to air toxics, in 337 4 x 4 km domains
    in Harris County, Texas.
  • Year 1 August 2000 year 2 August October 2000
  • Study Design
  • Mixed-level ecologic correlation analysis

25
7. BCM HC AP ADMITS STUDY continued
  • Key collaborators
  • Baylor College of Medicine (Hamilton WJ,
    Ningthoujam SS)
  • University of Houston (Byun DW, Coarfa V, Kim S)
  • UT School of Public Health (Chan W, Li Y)
  • US Environmental Protection Agency (Ching JKS)
  • Data sources
  • Hospital admissions from THCIC RUDF
  • Pollutant concentrations
  • CMAQ-AT model hourly concentrations for each cell
  • Concentrations from are monitors (TCEQ)
  • Census 2000 data
  • Median household income, minority, housing
  • IRB approvals from TDSHS and BCM

26
7. BCM HC AP ADMITS STUDY continued
  • Hospital Admissions
  • Hospital coverage
  • 95 hospitals (77.6 of hospitals, 96.0 of beds)
  • Two significant omissions LBJ (324
    beds)Quentin Meese (75 beds)
  • HC residents admitted 44,078
  • Exclusions 7,350
  • Newborns 6,885
  • Accidents 465
  • No discharge diagnosis 40
  • Total for geocoding 36,688
  • Total geocoded 29,900 (81.5)

N 36,688
27
7. BCM HC AP ADMITS STUDY continued
  • Geocoded hospital admissions (N 29,900)

Cardiovascular6,284 (17.1) Respiratory2,946
(8.0) Cardiorespiratory7,467 (20.4) Other22,43
3 (61.2)
28
7. BCM HC AP ADMITS STUDY continued
  • EPAs CMAQ-AT Eulerian nested photochemical model
  • MM5 meteorology
  • NEI99, augmented by NTI99 and TEI2000
  • SMOKE
  • SAPRC99
  • BCM receives text files for each pollutant with
    hourly concentrations
  • Generate for each cell for August 2000
  • Mean maximum
  • Mean of 24-hr avg
  • 12-hr AM (6 a 6 p)
  • 12-hr PM (6 p 6 a)
  • AT score from rankings

29
7. BCM HC AP ADMITS STUDY continued
  • Pollutant concentrations from area monitors
  • Use IDL to run correlations

30
7. BCM HC AP ADMITS STUDY continued
Mean 24-hour CMAQ-AT generated ozone
concentrations on August 1, 2000, in 337 4 x 4-km
cells in Harris County. Red denotes the highest
concentrations (35-45 ppbv) and the dark green
denotes the lowest (9-25 ppbv).
31
7. BCM HC AP ADMITS STUDY continued
Median household income by cell. Dark green lt
25,000 red gt 70,000.
32
THE AH, DUH FACTOR
  • Convincing research is helpful
  • Drives regulations
  • Significantly increases compliance
  • Great education tool
  • However
  • Research should not be used to delay
    implementation of commonsense regulations or
    education to reduce exposure
  • Incentives for conservation, decreased vehicle
    use, decreased emissions
  • Elimination of unnecessary toxic processes /
    practices
  • Education about personal exposure
  • and political leadership needed to implement
    the Ah, Duh Stuff, now, while continuing
    research

33
Selected Sources
  • Apelberg BJ, Buckley TJ, White RH. Socioeconomic
    and racial disparities in cancer risk from air
    toxics in Maryland. Environ Health Perspect
    113693-9(2005)
  • Australias EPHC NEPM-AT program
    http//www.ephc.gov.au/nepms/air/air_toxics.html
  • EPAs HAPs Database http//www.epa.gov/air/data/
  • Buckeridge DL, Glazier R, Harvey BJ, et al.
    Effect of motor vehicle emissions on respiratory
    health in an urban area. Environ Health Perspect
    110293-300.(2002)
  • Delfino RJ, Gong H, Jr., Linn WS, Pellizzari ED,
    Hu Y. Asthma symptoms in Hispanic children and
    daily ambient exposures to toxic and criteria air
    pollutants. Environ Health Perspect
    111647-56(2003)
  • Dominici F, McDermott A, Daniels M, Zeger SL,
    Samet JM. Revised analyses of the National
    Morbidity, Mortality, and Air Pollution Study
    mortality among residents of 90 cities. J Toxicol
    Environ Health A 681071-92(2005)
  • EPAs Integrated Risk Information System
    http//www.epa.gov/iris/
  • EPAs TRI Explorer http//www.epa.gov/triexplorer/
  • Leikauf GD. Hazardous air pollutants and asthma.
    Environ Health Perspect 110 Suppl 4505-26(2002)
  • Le Tertre A, Medina S, Samoli E, et al.
    Short-term effects of particulate air pollution
    on cardiovascular diseases in eight European
    cities. J Epidemiol Community Health
    56773-9(2002)
  • Lippmann M, Frampton M, Schwartz J, et al. The
    U.S. Environmental Protection Agency Particulate
    Matter Health Effects Research Centers Program A
    midcourse report of status, progress, and plans.
    Environ Health Perspect 1111074-92(2003)
  • National Air Toxics Assessment (NATA)
    http//www.epa.gov/ttn/atw/nata/
  • Payne-Sturges DC, Burke TA, Breysse P,
    Diener-West M, Buckley TJ. Personal exposure
    meets risk assessment a comparison of measured
    and modeled exposures and risks in an urban
    community. Environ Health Perspect
    112589-98(2004)
  • Yang CY, Chang CC, Chuang HY, Ho CK, Wu TN, Chang
    PY. Increased risk of preterm delivery among
    people living near the three oil refineries in
    Taiwan. Environ Int 30337-42(2004)
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