Development of an Air Pollution Asthma Risk-Screening Model for Ohio Elementary Schools
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2012
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| Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=osu1345233071 |
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ndltd-OhioLink-oai-etd.ohiolink.edu-osu13452330712021-08-03T06:06:17Z Development of an Air Pollution Asthma Risk-Screening Model for Ohio Elementary Schools Clark, Brenda Rose Environmental Science Public Health air pollution asthma respiratory morbidity traffic predictive model <p>Background: According to data from the most recent Ohio Family Health Survey (2008), 15.4 percent of Ohio children have been told that they have asthma. Asthma-related school absenteeism has been linked with environmental factors in indoor settings, which may include schools.</p><p>Objective: Recognizing the significant impact of asthma on Ohio’s families, the importance of the school environment, and the paucity of relevant air quality data for schools, this study developed an Asthma Risk Screening Indicators (ARSI) predictive model for school indoor air quality (IAQ) and asthma risk based on indoor and outdoor air pollution data.</p><p>Methods: The outdoor air arm of the ARSI was derived from two extant databases of outdoor air toxic releases: the Risk-Screening Environmental Indicators (RSEI) model, which quantifies TRI emissions; and the 2005 National-Scale Air Toxics Assessments (NATA), which quantifies both industrial chemical emissions and risk due to traffic (onroad mobile sources). The indoor air component was closely modeled after recommended school inspection guidelines previously used in Ohio schools under Jarod’s Law and developed with assistance from a trained sanitarian. Indoor and outdoor air monitoring in 13 central Ohio elementary schools representing a range of ARSI scores was conducted to validate the two submodel components of the ARSI model. Allergens (n=8) in indoor settled dust were analyzed, and particulate matter (PM), black carbon (BC), and endotoxin over five days during each of two seasons, fall and winter or winter and spring, were also measured. Physician-diagnosed asthma (PDA) prevalence and respiratory morbidity were assessed by surveying fourth graders in 13 central Ohio elementary schools during the 2010-2011 school year using a validated questionnaire.The ARSI model indicators were compared to measured indoor and outdoor air pollution levels and to asthma prevalence and respiratory morbidity to test their predictive significance.</p><p>Results: 10.2% of students surveyed in 13 schools reported PDA. An additional 37% without PDA reported symptoms consistent with asthma potentially suggestive of undiagnosed asthma. Of students with PDA, 76% reported symptoms suggestive of poorly controlled asthma. High levels of secondhand smoke (SHS) exposure were associated both with PDA (p=0.05) and with respiratory symptoms (p<0.0001). Both School RSEI Score (p=0.05) and NATA ORMPC (p=0.006) were found to be predictive of school-level PDA. Nearly 50% of classrooms inspected had CO2 levels exceeding the American Society for Heating, Refrigeration, and Air Conditioning Engineers (ASHRAE) standard of <700ppm above outdoor levels. Further, these high CO2 levels were associated with objective indoor air measures as well as with student reported respiratory symptoms.Conclusions: This study provided evidence-based research that informed the generation of an asthma risk-screening indicators (ARSI) model developed from extant data and school inspection data. Once validated, the ARSI model may be used by local, state, and national government and communities to both screen for at-risk schools and inform mitigation strategies.</p> 2012-08-30 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1345233071 http://rave.ohiolink.edu/etdc/view?acc_num=osu1345233071 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
| collection |
NDLTD |
| language |
English |
| sources |
NDLTD |
| topic |
Environmental Science Public Health air pollution asthma respiratory morbidity traffic predictive model |
| spellingShingle |
Environmental Science Public Health air pollution asthma respiratory morbidity traffic predictive model Clark, Brenda Rose Development of an Air Pollution Asthma Risk-Screening Model for Ohio Elementary Schools |
| author |
Clark, Brenda Rose |
| author_facet |
Clark, Brenda Rose |
| author_sort |
Clark, Brenda Rose |
| title |
Development of an Air Pollution Asthma Risk-Screening Model for Ohio Elementary Schools |
| title_short |
Development of an Air Pollution Asthma Risk-Screening Model for Ohio Elementary Schools |
| title_full |
Development of an Air Pollution Asthma Risk-Screening Model for Ohio Elementary Schools |
| title_fullStr |
Development of an Air Pollution Asthma Risk-Screening Model for Ohio Elementary Schools |
| title_full_unstemmed |
Development of an Air Pollution Asthma Risk-Screening Model for Ohio Elementary Schools |
| title_sort |
development of an air pollution asthma risk-screening model for ohio elementary schools |
| publisher |
The Ohio State University / OhioLINK |
| publishDate |
2012 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=osu1345233071 |
| work_keys_str_mv |
AT clarkbrendarose developmentofanairpollutionasthmariskscreeningmodelforohioelementaryschools |
| _version_ |
1719430981330403328 |