The new model for evaluating indoor air quality based on childhood allergic and respiratory diseases in Shanghai
Indoor environment has an important impact on human health, especially on children's health. However, the current assessment indicators are difficult to reflect the health-related indoor air quality (IAQ). Based on the field measurements in 454 residential buildings in Shanghai, this study inve...
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| Veröffentlicht in: | Building and environment 2022-01, Vol.207, p.108410, Article 108410 |
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| creator | Sun, Chanjuan Huang, Xin Zhang, Jialing Lu, Rongchun Su, Chunxiao Huang, Chen |
| description | Indoor environment has an important impact on human health, especially on children's health. However, the current assessment indicators are difficult to reflect the health-related indoor air quality (IAQ).
Based on the field measurements in 454 residential buildings in Shanghai, this study investigates the associations between indoor pollutants and children's health by logistic regression analyses to determine the health-related pollutant indicators. The combination of grey relational analysis and analytic hierarchy process was used to determine the weight coefficient of pollutants. The index method based on the assigned weighted coefficient was then used to evaluate IAQ.
A total of 23.4%, 22.3% and 25.4% families had the higher concentration of CO2, PM2.5 and PM10 than the limits in the indoor environmental quality standards, while only 0.8%, 0.7% and 1.3% of all the families had the concentration of total volatile organic compounds (TVOC), formaldehyde and airborne fungi exceeding the standard. The correlation analyses showed that di(2-ethylhexyl) phthalate (DEHP) was significantly correlated with children's respiratory diseases (croup and wheeze). Therefore, DEHP was added as one of the targeted pollutants. The health-related IAQ assessments showed that the weighted coefficients from high to low were as follows: PM2.5 (0.149), PM10 (0.148), formaldehyde (0.147), airborne fungi (0.147), DEHP (0.146), CO2 (0.144) and TVOC (0.119).
The evaluation results of the new indicator can more accurately reflect the IAQ than before. The suggested value of DEHP was introduced in the IAQ standard. The findings provide some reference for the evaluation of IAQ.
[Display omitted]
•This paper proposed the recommended value of new pollutant, Di(2-ethylhexyl) phthalate (DEHP).•The relational degree between the pollutants and children's health outcomes was obtained by using Grey Relational Analysis.•The combination of grey relational analysis and analytic hierarchy process was used to determine the weight coefficient.•The evaluation results of the new indicator can more accurately reflect the health-related indoor air quality than before. |
| doi_str_mv | 10.1016/j.buildenv.2021.108410 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2622624297</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0360132321008076</els_id><sourcerecordid>2622624297</sourcerecordid><originalsourceid>FETCH-LOGICAL-c340t-38b91875686b719d4c0347a63340796b5e6479b76de8a342554e9e8ce6de5de3</originalsourceid><addsrcrecordid>eNqFUMtqwzAQFKWFpo9fKIKenUqWLNu3ltAXBHpoDr0JWdrEMo6USHZK_r4Kbs-FhYXZmdndQeiOkjklVDx082a0vQF3mOckpwmsOCVnaEarkmWi4l_naEaYIBllObtEVzF2JAlrxmdot2oBO_jGW2-gx2sfMBxUP6rBug22zviEKBvwflS9HY64UREM9g7rNi1tvTdY9T2EjdVYOYMDxJ0NavDhiI2NkOgx-eDPVrlNq-wNulirPsLtb79Gq5fn1eItW368vi-elplmnAwZq5o63V-ISjQlrQ3XhPFSCZamZS2aAgQv66YUBirFeF4UHGqoNCSgMMCu0f1kuwt-P0IcZOfH4NJGmYs8Fc_rMrHExNLBxxhgLXfBblU4SkrkKVzZyb9w5SlcOYWbhI-TENILBwtBRm3BaTA2gB6k8fY_ix89v4b6</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2622624297</pqid></control><display><type>article</type><title>The new model for evaluating indoor air quality based on childhood allergic and respiratory diseases in Shanghai</title><source>Elsevier ScienceDirect Journals Complete</source><creator>Sun, Chanjuan ; Huang, Xin ; Zhang, Jialing ; Lu, Rongchun ; Su, Chunxiao ; Huang, Chen</creator><creatorcontrib>Sun, Chanjuan ; Huang, Xin ; Zhang, Jialing ; Lu, Rongchun ; Su, Chunxiao ; Huang, Chen</creatorcontrib><description>Indoor environment has an important impact on human health, especially on children's health. However, the current assessment indicators are difficult to reflect the health-related indoor air quality (IAQ).
Based on the field measurements in 454 residential buildings in Shanghai, this study investigates the associations between indoor pollutants and children's health by logistic regression analyses to determine the health-related pollutant indicators. The combination of grey relational analysis and analytic hierarchy process was used to determine the weight coefficient of pollutants. The index method based on the assigned weighted coefficient was then used to evaluate IAQ.
A total of 23.4%, 22.3% and 25.4% families had the higher concentration of CO2, PM2.5 and PM10 than the limits in the indoor environmental quality standards, while only 0.8%, 0.7% and 1.3% of all the families had the concentration of total volatile organic compounds (TVOC), formaldehyde and airborne fungi exceeding the standard. The correlation analyses showed that di(2-ethylhexyl) phthalate (DEHP) was significantly correlated with children's respiratory diseases (croup and wheeze). Therefore, DEHP was added as one of the targeted pollutants. The health-related IAQ assessments showed that the weighted coefficients from high to low were as follows: PM2.5 (0.149), PM10 (0.148), formaldehyde (0.147), airborne fungi (0.147), DEHP (0.146), CO2 (0.144) and TVOC (0.119).
The evaluation results of the new indicator can more accurately reflect the IAQ than before. The suggested value of DEHP was introduced in the IAQ standard. The findings provide some reference for the evaluation of IAQ.
[Display omitted]
•This paper proposed the recommended value of new pollutant, Di(2-ethylhexyl) phthalate (DEHP).•The relational degree between the pollutants and children's health outcomes was obtained by using Grey Relational Analysis.•The combination of grey relational analysis and analytic hierarchy process was used to determine the weight coefficient.•The evaluation results of the new indicator can more accurately reflect the health-related indoor air quality than before.</description><identifier>ISSN: 0360-1323</identifier><identifier>EISSN: 1873-684X</identifier><identifier>DOI: 10.1016/j.buildenv.2021.108410</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>Air quality ; Air quality measurements ; Airborne microorganisms ; Analytic hierarchy process ; Carbon dioxide ; Carbon dioxide concentration ; Childhood allergic diseases ; Children ; Children & youth ; Childrens health ; Coefficients ; Croup ; Dioctyl phthalate ; Environmental quality ; Evaluation ; Formaldehyde ; Fungi ; Indicators ; Indoor air pollution ; Indoor air quality ; Indoor environmental quality ; Indoor environments ; Organic compounds ; Particulate matter ; Pollutants ; Pollution index ; Quality standards ; Regression analysis ; Residential areas ; Residential buildings ; Respiratory diseases ; VOCs ; Volatile organic compounds</subject><ispartof>Building and environment, 2022-01, Vol.207, p.108410, Article 108410</ispartof><rights>2021 Elsevier Ltd</rights><rights>Copyright Elsevier BV Jan 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c340t-38b91875686b719d4c0347a63340796b5e6479b76de8a342554e9e8ce6de5de3</citedby><cites>FETCH-LOGICAL-c340t-38b91875686b719d4c0347a63340796b5e6479b76de8a342554e9e8ce6de5de3</cites><orcidid>0000-0001-7728-9461</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.buildenv.2021.108410$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Sun, Chanjuan</creatorcontrib><creatorcontrib>Huang, Xin</creatorcontrib><creatorcontrib>Zhang, Jialing</creatorcontrib><creatorcontrib>Lu, Rongchun</creatorcontrib><creatorcontrib>Su, Chunxiao</creatorcontrib><creatorcontrib>Huang, Chen</creatorcontrib><title>The new model for evaluating indoor air quality based on childhood allergic and respiratory diseases in Shanghai</title><title>Building and environment</title><description>Indoor environment has an important impact on human health, especially on children's health. However, the current assessment indicators are difficult to reflect the health-related indoor air quality (IAQ).
Based on the field measurements in 454 residential buildings in Shanghai, this study investigates the associations between indoor pollutants and children's health by logistic regression analyses to determine the health-related pollutant indicators. The combination of grey relational analysis and analytic hierarchy process was used to determine the weight coefficient of pollutants. The index method based on the assigned weighted coefficient was then used to evaluate IAQ.
A total of 23.4%, 22.3% and 25.4% families had the higher concentration of CO2, PM2.5 and PM10 than the limits in the indoor environmental quality standards, while only 0.8%, 0.7% and 1.3% of all the families had the concentration of total volatile organic compounds (TVOC), formaldehyde and airborne fungi exceeding the standard. The correlation analyses showed that di(2-ethylhexyl) phthalate (DEHP) was significantly correlated with children's respiratory diseases (croup and wheeze). Therefore, DEHP was added as one of the targeted pollutants. The health-related IAQ assessments showed that the weighted coefficients from high to low were as follows: PM2.5 (0.149), PM10 (0.148), formaldehyde (0.147), airborne fungi (0.147), DEHP (0.146), CO2 (0.144) and TVOC (0.119).
The evaluation results of the new indicator can more accurately reflect the IAQ than before. The suggested value of DEHP was introduced in the IAQ standard. The findings provide some reference for the evaluation of IAQ.
[Display omitted]
•This paper proposed the recommended value of new pollutant, Di(2-ethylhexyl) phthalate (DEHP).•The relational degree between the pollutants and children's health outcomes was obtained by using Grey Relational Analysis.•The combination of grey relational analysis and analytic hierarchy process was used to determine the weight coefficient.•The evaluation results of the new indicator can more accurately reflect the health-related indoor air quality than before.</description><subject>Air quality</subject><subject>Air quality measurements</subject><subject>Airborne microorganisms</subject><subject>Analytic hierarchy process</subject><subject>Carbon dioxide</subject><subject>Carbon dioxide concentration</subject><subject>Childhood allergic diseases</subject><subject>Children</subject><subject>Children & youth</subject><subject>Childrens health</subject><subject>Coefficients</subject><subject>Croup</subject><subject>Dioctyl phthalate</subject><subject>Environmental quality</subject><subject>Evaluation</subject><subject>Formaldehyde</subject><subject>Fungi</subject><subject>Indicators</subject><subject>Indoor air pollution</subject><subject>Indoor air quality</subject><subject>Indoor environmental quality</subject><subject>Indoor environments</subject><subject>Organic compounds</subject><subject>Particulate matter</subject><subject>Pollutants</subject><subject>Pollution index</subject><subject>Quality standards</subject><subject>Regression analysis</subject><subject>Residential areas</subject><subject>Residential buildings</subject><subject>Respiratory diseases</subject><subject>VOCs</subject><subject>Volatile organic compounds</subject><issn>0360-1323</issn><issn>1873-684X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqFUMtqwzAQFKWFpo9fKIKenUqWLNu3ltAXBHpoDr0JWdrEMo6USHZK_r4Kbs-FhYXZmdndQeiOkjklVDx082a0vQF3mOckpwmsOCVnaEarkmWi4l_naEaYIBllObtEVzF2JAlrxmdot2oBO_jGW2-gx2sfMBxUP6rBug22zviEKBvwflS9HY64UREM9g7rNi1tvTdY9T2EjdVYOYMDxJ0NavDhiI2NkOgx-eDPVrlNq-wNulirPsLtb79Gq5fn1eItW368vi-elplmnAwZq5o63V-ISjQlrQ3XhPFSCZamZS2aAgQv66YUBirFeF4UHGqoNCSgMMCu0f1kuwt-P0IcZOfH4NJGmYs8Fc_rMrHExNLBxxhgLXfBblU4SkrkKVzZyb9w5SlcOYWbhI-TENILBwtBRm3BaTA2gB6k8fY_ix89v4b6</recordid><startdate>202201</startdate><enddate>202201</enddate><creator>Sun, Chanjuan</creator><creator>Huang, Xin</creator><creator>Zhang, Jialing</creator><creator>Lu, Rongchun</creator><creator>Su, Chunxiao</creator><creator>Huang, Chen</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>KR7</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0001-7728-9461</orcidid></search><sort><creationdate>202201</creationdate><title>The new model for evaluating indoor air quality based on childhood allergic and respiratory diseases in Shanghai</title><author>Sun, Chanjuan ; Huang, Xin ; Zhang, Jialing ; Lu, Rongchun ; Su, Chunxiao ; Huang, Chen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c340t-38b91875686b719d4c0347a63340796b5e6479b76de8a342554e9e8ce6de5de3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Air quality</topic><topic>Air quality measurements</topic><topic>Airborne microorganisms</topic><topic>Analytic hierarchy process</topic><topic>Carbon dioxide</topic><topic>Carbon dioxide concentration</topic><topic>Childhood allergic diseases</topic><topic>Children</topic><topic>Children & youth</topic><topic>Childrens health</topic><topic>Coefficients</topic><topic>Croup</topic><topic>Dioctyl phthalate</topic><topic>Environmental quality</topic><topic>Evaluation</topic><topic>Formaldehyde</topic><topic>Fungi</topic><topic>Indicators</topic><topic>Indoor air pollution</topic><topic>Indoor air quality</topic><topic>Indoor environmental quality</topic><topic>Indoor environments</topic><topic>Organic compounds</topic><topic>Particulate matter</topic><topic>Pollutants</topic><topic>Pollution index</topic><topic>Quality standards</topic><topic>Regression analysis</topic><topic>Residential areas</topic><topic>Residential buildings</topic><topic>Respiratory diseases</topic><topic>VOCs</topic><topic>Volatile organic compounds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sun, Chanjuan</creatorcontrib><creatorcontrib>Huang, Xin</creatorcontrib><creatorcontrib>Zhang, Jialing</creatorcontrib><creatorcontrib>Lu, Rongchun</creatorcontrib><creatorcontrib>Su, Chunxiao</creatorcontrib><creatorcontrib>Huang, Chen</creatorcontrib><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Building and environment</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sun, Chanjuan</au><au>Huang, Xin</au><au>Zhang, Jialing</au><au>Lu, Rongchun</au><au>Su, Chunxiao</au><au>Huang, Chen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The new model for evaluating indoor air quality based on childhood allergic and respiratory diseases in Shanghai</atitle><jtitle>Building and environment</jtitle><date>2022-01</date><risdate>2022</risdate><volume>207</volume><spage>108410</spage><pages>108410-</pages><artnum>108410</artnum><issn>0360-1323</issn><eissn>1873-684X</eissn><abstract>Indoor environment has an important impact on human health, especially on children's health. However, the current assessment indicators are difficult to reflect the health-related indoor air quality (IAQ).
Based on the field measurements in 454 residential buildings in Shanghai, this study investigates the associations between indoor pollutants and children's health by logistic regression analyses to determine the health-related pollutant indicators. The combination of grey relational analysis and analytic hierarchy process was used to determine the weight coefficient of pollutants. The index method based on the assigned weighted coefficient was then used to evaluate IAQ.
A total of 23.4%, 22.3% and 25.4% families had the higher concentration of CO2, PM2.5 and PM10 than the limits in the indoor environmental quality standards, while only 0.8%, 0.7% and 1.3% of all the families had the concentration of total volatile organic compounds (TVOC), formaldehyde and airborne fungi exceeding the standard. The correlation analyses showed that di(2-ethylhexyl) phthalate (DEHP) was significantly correlated with children's respiratory diseases (croup and wheeze). Therefore, DEHP was added as one of the targeted pollutants. The health-related IAQ assessments showed that the weighted coefficients from high to low were as follows: PM2.5 (0.149), PM10 (0.148), formaldehyde (0.147), airborne fungi (0.147), DEHP (0.146), CO2 (0.144) and TVOC (0.119).
The evaluation results of the new indicator can more accurately reflect the IAQ than before. The suggested value of DEHP was introduced in the IAQ standard. The findings provide some reference for the evaluation of IAQ.
[Display omitted]
•This paper proposed the recommended value of new pollutant, Di(2-ethylhexyl) phthalate (DEHP).•The relational degree between the pollutants and children's health outcomes was obtained by using Grey Relational Analysis.•The combination of grey relational analysis and analytic hierarchy process was used to determine the weight coefficient.•The evaluation results of the new indicator can more accurately reflect the health-related indoor air quality than before.</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.buildenv.2021.108410</doi><orcidid>https://orcid.org/0000-0001-7728-9461</orcidid></addata></record> |
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| subjects | Air quality Air quality measurements Airborne microorganisms Analytic hierarchy process Carbon dioxide Carbon dioxide concentration Childhood allergic diseases Children Children & youth Childrens health Coefficients Croup Dioctyl phthalate Environmental quality Evaluation Formaldehyde Fungi Indicators Indoor air pollution Indoor air quality Indoor environmental quality Indoor environments Organic compounds Particulate matter Pollutants Pollution index Quality standards Regression analysis Residential areas Residential buildings Respiratory diseases VOCs Volatile organic compounds |
| title | The new model for evaluating indoor air quality based on childhood allergic and respiratory diseases in Shanghai |
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