A preliminary assessment of the health impacts of indoor air contaminants determined using the DALY metric

IF 1.1 4区 工程技术 Q3 CONSTRUCTION & BUILDING TECHNOLOGY
Giobertti Morantes, Benjamin Jones, M. Sherman, Constanza Molina
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引用次数: 2

Abstract

Abstract Common metrics used for assessing air quality are based on guidelines and/or standards for regulating concentrations that should not be exceeded over a period. Exceeding those values would represent problematic situations. A lack of agreement on appropriate norms or standards deems this approach sub-optimal. Moreover, this approach does not relate a proportion of exceedance to specific health outcomes. A need to develop health-centered IAQ metrics that can quantify burden of disease in terms of epidemiological evidence of population morbidity and mortality supported by the best knowledge of health effects, is pressing. This work proposes an approach that harnesses the advantages of using disability adjusted life years (DALYs) as a valuable metric to quantify and rank the burden of household air pollution, as a global perspective. Two methods were used to compute DALYs, one mainly based on incidence data and another mainly based on effect factors (i.e. DALYs per unit-intake of contaminant of interest). The methods are based on the following parameters: risk estimates, baseline incidence rates, damage factors, indoor air contaminant concentrations, human toxicological & epidemiological effect factors, dose–response factors, cancer-related variables and breathing rates. Systematic searches and reviews of peer-reviewed literature (including systematic reviews and meta-analyses) were performed to find information on said input parameters. Meta-analysis was used to pooled and synthesise data from different studies. A Monte Carlo approach was used to model results in DALYs lost. Over 1000 articles were revised and overall ∼200 unique sources were used as sources of data. Ten contaminants were accounted for with specific risk estimates and damage factors data, for which human epidemiological effect factors were derived. Representative concentrations of 45 contaminants were calculated. Thirty-nine contaminants were accounted for human toxicological effect factors. Total pooled DALYs were estimated per 100,000 exposed population with corresponding uncertainty intervals. Estimated population-averaged annual cost, in DALYs lost, of chronic air contaminant inhalation in dwellings indicate that the contaminants with highest median DALY loss estimates are PM10 and PM2.5 (magnitudes of 103); PMcoarse, formaldehyde and NO2 could be found with magnitudes of 102; contaminants with magnitudes of 101 include radon and ozone, finally SO2 and acrolein would have magnitudes of 10°; mould-related bioaerosols could be of interest as well. The updated strategies allowed for the quantification of contaminants and health outcomes that were not accounted for in previous works. Computed DALYs have lower uncertainty intervals than those previously proposed. The updated methodology presented in this study may be used to assess cumulative health impacts of indoor air contaminants.
使用DALY指标确定的室内空气污染物对健康影响的初步评估
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来源期刊
International Journal of Ventilation
International Journal of Ventilation CONSTRUCTION & BUILDING TECHNOLOGY-ENERGY & FUELS
CiteScore
3.50
自引率
6.70%
发文量
7
审稿时长
>12 weeks
期刊介绍: This is a peer reviewed journal aimed at providing the latest information on research and application. Topics include: • New ideas concerned with the development or application of ventilation; • Validated case studies demonstrating the performance of ventilation strategies; • Information on needs and solutions for specific building types including: offices, dwellings, schools, hospitals, parking garages, urban buildings and recreational buildings etc; • Developments in numerical methods; • Measurement techniques; • Related issues in which the impact of ventilation plays an important role (e.g. the interaction of ventilation with air quality, health and comfort); • Energy issues related to ventilation (e.g. low energy systems, ventilation heating and cooling loss); • Driving forces (weather data, fan performance etc).
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