File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Air pollution associated respiratory mortality risk alleviated by residential greenness in the Chinese Elderly Health Service Cohort

TitleAir pollution associated respiratory mortality risk alleviated by residential greenness in the Chinese Elderly Health Service Cohort
Authors
KeywordsAir pollution
Greenness
Respiratory disease
Case-crossover study
Issue Date2020
PublisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/envres
Citation
Environmental Research, 2020, v. 183, p. article no. 109139 How to Cite?
AbstractBackground: Although residing in lower surrounding greenness and transient exposure to air pollution are independently associated with higher risk of adverse health outcomes, little is known about their interactions. Objectives: We examine whether residential neighborhood greenness modifies the short-term association between air pollution and respiratory mortality among the participants of Chinese Elderly Health Service Cohort in Hong Kong. Methods: We estimated residential surrounding greenness by measuring satellite-derived normalized difference vegetation index (NDVI) from Landsat within catchments of residential addresses of participants who died of respiratory diseases between 1998 and 2011. We first dichotomized NDVI into low and high greenness and used a time-stratified case-crossover approach to estimate the percent excess risk of respiratory mortality associated with fine particulate matter (PM2.5), respirable particulate matter (PM10), nitrogen dioxide (NO2), and ozone (O3). We further classified NDVI into greenness quartiles and introduced an interaction term between air pollution and the assigned median values of the NDVI quartiles into the models to assess the trend of greenness modification on the air pollution and respiratory mortality associations. Results: Among 3159 respiratory deaths during the follow-up, 2058 were from pneumonia and 947 from chronic obstructive pulmonary disease. Elders living in the low greenness areas were associated with a higher risk of pneumonia mortality attributed to NO2 (p = 0.049) and O3 (p = 0.025). The mortality risk of pneumonia showed a decreasing trend for NO2 (p for trend = 0.041), O3 (p for trend = 0.006), and PM2.5 (p for trend = 0.034) with greenness quartiles increasing from Quartile 1 (lowest) to Quartile 4 (highest). Conclusions: Our findings suggest that elders living in higher greenness areas are less susceptible to pneumonia mortality associated with air pollution, which provides evidence for optimizing allocation, siting, and quality of urban green space to minimize detrimental health effects of air pollution.
Persistent Identifierhttp://hdl.handle.net/10722/281660
ISSN
2021 Impact Factor: 8.431
2020 SCImago Journal Rankings: 1.460
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorSUN, S-
dc.contributor.authorSarkar, C-
dc.contributor.authorKumari, S-
dc.contributor.authorJames, P-
dc.contributor.authorCao, W-
dc.contributor.authorLee, R-S-
dc.contributor.authorTian, L-
dc.contributor.authorWebster, C-
dc.date.accessioned2020-03-22T04:17:52Z-
dc.date.available2020-03-22T04:17:52Z-
dc.date.issued2020-
dc.identifier.citationEnvironmental Research, 2020, v. 183, p. article no. 109139-
dc.identifier.issn0013-9351-
dc.identifier.urihttp://hdl.handle.net/10722/281660-
dc.description.abstractBackground: Although residing in lower surrounding greenness and transient exposure to air pollution are independently associated with higher risk of adverse health outcomes, little is known about their interactions. Objectives: We examine whether residential neighborhood greenness modifies the short-term association between air pollution and respiratory mortality among the participants of Chinese Elderly Health Service Cohort in Hong Kong. Methods: We estimated residential surrounding greenness by measuring satellite-derived normalized difference vegetation index (NDVI) from Landsat within catchments of residential addresses of participants who died of respiratory diseases between 1998 and 2011. We first dichotomized NDVI into low and high greenness and used a time-stratified case-crossover approach to estimate the percent excess risk of respiratory mortality associated with fine particulate matter (PM2.5), respirable particulate matter (PM10), nitrogen dioxide (NO2), and ozone (O3). We further classified NDVI into greenness quartiles and introduced an interaction term between air pollution and the assigned median values of the NDVI quartiles into the models to assess the trend of greenness modification on the air pollution and respiratory mortality associations. Results: Among 3159 respiratory deaths during the follow-up, 2058 were from pneumonia and 947 from chronic obstructive pulmonary disease. Elders living in the low greenness areas were associated with a higher risk of pneumonia mortality attributed to NO2 (p = 0.049) and O3 (p = 0.025). The mortality risk of pneumonia showed a decreasing trend for NO2 (p for trend = 0.041), O3 (p for trend = 0.006), and PM2.5 (p for trend = 0.034) with greenness quartiles increasing from Quartile 1 (lowest) to Quartile 4 (highest). Conclusions: Our findings suggest that elders living in higher greenness areas are less susceptible to pneumonia mortality associated with air pollution, which provides evidence for optimizing allocation, siting, and quality of urban green space to minimize detrimental health effects of air pollution.-
dc.languageeng-
dc.publisherAcademic Press. The Journal's web site is located at http://www.elsevier.com/locate/envres-
dc.relation.ispartofEnvironmental Research-
dc.subjectAir pollution-
dc.subjectGreenness-
dc.subjectRespiratory disease-
dc.subjectCase-crossover study-
dc.titleAir pollution associated respiratory mortality risk alleviated by residential greenness in the Chinese Elderly Health Service Cohort-
dc.typeArticle-
dc.identifier.emailSarkar, C: csarkar@hku.hk-
dc.identifier.emailKumari, S: sarikak@hku.hk-
dc.identifier.emailTian, L: linweit@hku.hk-
dc.identifier.emailWebster, C: cwebster@hku.hk-
dc.identifier.authoritySarkar, C=rp01980-
dc.identifier.authorityTian, L=rp01991-
dc.identifier.authorityWebster, C=rp01747-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.envres.2020.109139-
dc.identifier.pmid31999997-
dc.identifier.scopuseid_2-s2.0-85078317250-
dc.identifier.hkuros309387-
dc.identifier.volume183-
dc.identifier.spagearticle no. 109139-
dc.identifier.epagearticle no. 109139-
dc.identifier.isiWOS:000526177500007-
dc.publisher.placeUnited States-
dc.identifier.issnl0013-9351-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats