Life and Breath How air pollution affects health across Minnesota
MPHA
Kathy Raleigh, MDH Principal Epidemiologist David Bael, MPCA Economic Policy Analyst April 12, 2019
Life and Breath How air pollution affects health across Minnesota - - PowerPoint PPT Presentation
Life and Breath How air pollution affects health across Minnesota MPHA Kathy Raleigh, MDH Principal Epidemiologist David Bael, MPCA Economic Policy Analyst April 12, 2019 Overview Minnesota Air and Health Initiative: Life and Breath Study
MPHA
Kathy Raleigh, MDH Principal Epidemiologist David Bael, MPCA Economic Policy Analyst April 12, 2019
Minnesota Air and Health Initiative: Life and Breath Study
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MPCA/MDH collaboration to understand and address role of air quality in our health
MPCA and MDH roles
actions
data on social, behavioral and environmental risks
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Original Life and Breath study
populations and residents living in poverty – are particularly vulnerable to air pollution
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How can health impacts of air pollution be counted?
relationships between pollutant concentrations and health.
estimate the fraction and count of adverse health impacts that may be attributed to air pollution.
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Goals for “Life and Breath II”
matter and ozone state-wide?
across the state?
reducing air pollution across the state?
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Hospital discharge data
Vital Statistics
Health outcomes ICD 9 ICD 10 Cardiopulmonary deaths N/A I00-I79, J10-J18, J40-J47, J69 Asthma 496 (786.07 for Winquist et. al.,
J45 (R062 for Winquist et. al., ozone) Chronic lung disease 490-496 J40-J45,J471, J479, J67 All respiratory 460-519 J00-J99 Cardiovascular disease 410-414, 426-429, 430-438, 440- 448 I20-I22, I24-I25,I44-I45, I47-I50, I60-I67, I69-I75, I77-I78,M30-M31, R001, G454
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PM2.5 in Minnesota by county, 2013 annual average (left) and ozone (average daily 8-hour maximums) in Minnesota by county, 2013 ozone season average (right)
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We estimate:
particles in the air or ground-level ozone.
ØThis translates to nearly 2,000 to more than 4,000 premature deaths annually
did so partly because of fine particle matter in the air or ground-level ozone exposures.
ØThis translates to approximately 500 hospitalizations, and 800 emergency room visits annually.
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Aggregate results Minnesota 2013 annual health impacts attributable to PM2.5
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Health Effect Age group Number Percent of Total Events Attributable rate per 100,000 people All-cause deaths 25 and older (Lepeule) 4,098 (2,098-5,983) 10.2% (5.2%-14.9%) 112.8 (57.8 - 164.7) 30 and older (Krewski) 1,866 (1,270-2,449) 4.7% (3.2%-6.2%) 57.1 (38.9 - 75.0) Asthma hospitalizations Under 18 (Babin) 15 (0 - 75) 1.7% (0% - 8.8%) 1.6 (0 - 8.6) Asthma and COPD hospitalizations 18 to 64 (Moolgavkar) 64 (22 - 105) 1.8% (0.6% - 3.0%) 1.9 (0.7 - 3.1) All respiratory hospitalizations 65 and older (Zanobetti) 249 (144 - 352) 1.7% (1.0% - 2.5%) 33.0 (19.1 - 46.8) Asthma emergency department visits All ages (Winquist) 525 (146 - 896) 2.4% (0.7% - 4.1%) 9.7 (2.7 - 16.5) Cardiovascular hospitalizations 65 and older (Peng) 140 (53 - 226) 0.6% (0.2% - 0.9%) 18.6 (7.1 - 30.0)
Aggregate results Minnesota 2013 annual health impacts attributable to ozone
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Health Effect Age group Number Percent of Total Events Attributable rate per 100,000 people Cardiopulmonary deaths All ages (Huang) 57 (21.3 - 91.8) 1.1% (0.4% - 1.7%) 1.0 (0.4 - 1.7) Asthma hospitalizations All ages (Winquist) 56 (34.4 - 76.2) 4.8% (3.0% - 6.6%) 1.0 (0.6 - 1.4) Asthma emergency department visits All ages (Winquist) 298 (0 - 648) 3.2% (0.0% - 6.9%) 5.5 (0 - 12.0)
Reducing PM2.5 by 10% can prevent:
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Reducing ozone by 10% can prevent:
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PM2.5 attributable and underlying all-cause death rates per 100,000 people and attributable counts
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PM2.5 attributable and underlying all-cause death rates per 100,000 people and attributable counts
Demographic Analyses:
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County Group PM2.5 (all-cause, ages 25+, Lepeule) Ozone (cardiopulmonary causes, all ages) Rate per 100,000 people Attributable Rate per 100,000 people Attributable fraction Rate per 100,000 people Attributable Rate per 100,000 people Attributable fraction All population 1,103.0 112.8 10.2% 70.0 0.74 1.1% Poverty (under 200% of FPL) 0-25 percent 918.3 94.4 10.3% 56.1 0.57 1.0% 25-35 percent 1,181.5 122.2 10.3% 75.7 0.82 1.1% 35 percent or more 1,421.9 125.6 8.8% 95.9 0.88 0.9% Populations of Color and Indigenous 0-10 percent 1,297.6 122.1 9.4% 91.2 0.98 1.1% 10-20 percent 1,050.1 104.5 9.9% 66.2 0.68 1.0% 20 percent or more 1,027.6 116.5 11.3% 59.4 0.63 1.1%
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Air pollution-attributable death by county poverty level and population of color and indigenous
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County Group PM2.5 (all-cause, ages 25+, Lepeule) Ozone (cardiopulmonary causes, all ages)
Rate per 100,000 people Attributable Rate per 100,000 people Attributable fraction Rate per 100,000 people Attributable Rate per 100,000 people Attributable fraction
Rural 1,524.6 134.1 8.8% 114.5 1.21 1.1% Micropolitan Area 1,428.7 134.8 9.4% 103.8 1.14 1.1% Metropolitan Area 1,155.7 109.7 9.5% 73.6 0.70 1.0% Twin Cities Metro 924.6 104.7 11.3% 52.4 0.57 1.1% All population 1,103.0 112.8 10.2% 70.0 0.74 1.1%
Air ir pollu llutio ion-at attributable deat ath by MN Stat ate Dem Demogr graphic c Cen enter er Des Design gnation (M (Metropolitan Area, Mi Micr cropolitan Ar Area ea, Ru Rural, Twin Cities es Me Metro Ar Area ea)
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County Group PM2.5 (all-cause, ages 25+, Lepeule) Ozone (cardiopulmonary causes, all ages)
Rate per 100,000 people Attributable Rate per 100,000 people Attributable fraction Rate per 100,000 people Attributable Rate per 100,000 people Attributable fraction
Low (statistically below state average) 859.4 91.6 10.7% 50.2 0.59 1.2% Medium (close to state average) 1,151.1 116.3 10.1% 74.7 0.76 1.0% High (statistically above state average) 1,300.0 132.1 10.2% 84.0 0.87 1.0% All population 1,103.0 112.8 10.2% 70.0 0.74 1.1%
Air ir pollu llutio ion-at attributable deat ath by county leve vel of uninsured populat ation
Early deaths:
population is living in poverty.
distribution and other social and demographic structures have larger roles than air quality differences).
attributable impacts.
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moderate levels of air pollution can contribute to serious illnesses and early death.
state are more vulnerable than others.
socioeconomic status – areas with higher underlying death and disease rates have higher health impacts from air pollution.
needed that address underlying causes of health disparities and improve air quality.
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MDH strives to:
healthy environment
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MPCA is working with partners to:
environmental justice
and health care providers
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What can communities do to help decrease air pollution and vulnerability?
less and/or car pool
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Questions/Feedback
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Kathy Raleigh Minnesota Department of Health kathy.raleigh@state.mn.us David Bael Minnesota Pollution Control Agency david.bael@state.mn.us