Show simple item record

dc.contributor.authorMa, Wenjun
dc.contributor.authorWang, Lijun
dc.contributor.authorLin, Hualiang
dc.contributor.authorLiu, Tao
dc.contributor.authorZhang, Yonghui
dc.contributor.authorRutherford, Shannon
dc.contributor.authorLuo, Yuan
dc.contributor.authorZeng, Weilin
dc.contributor.authorZhang, Yewu
dc.contributor.authorWang, Xiaofeng
dc.contributor.authorGu, Xin
dc.contributor.authorChu, Cordia
dc.contributor.authorXiao, Jianpeng
dc.contributor.authorZhou, Maigeng
dc.date.accessioned2018-07-25T03:30:00Z
dc.date.available2018-07-25T03:30:00Z
dc.date.issued2015
dc.identifier.issn0013-9351
dc.identifier.doi10.1016/j.envres.2014.11.016
dc.identifier.urihttp://hdl.handle.net/10072/69806
dc.description.abstractBackground: Previous studies examining temperature-mortality associations in China focused on a single city or a small number of cities. A multi-city study covering different climatic zones is necessary to better understand regional differences in temperature risk on mortality in China. Methods: Sixty-six communities from 7 regions across China were included in this study. We first used a Distributed Lag Non-linear Model (DLNM) to estimate community-specific effects of temperature on non-accidental mortality during 2006- 2011. A multivariate meta-analysis was then applied to pool the estimates of community-specific effects. Results: A U-shaped curve was observed between temperature and mortality at the national level in China, indicating both low and high temperatures were associated with increased mortality risk. The overall threshold was at about the 75th percentile of the pooled temperature distribution. The relative risk was 1.61 (95% CI: 1.48- 1.74) for extremely cold temperature (1st percentile of temperature), and 1.21 (95% CI: 1.10-1.34) for extreme hot temperature (99th percentile of temperature) at lag 0-21 days. The temperature-mortality relationship is different for different regions. Compared with north China, south China had a higher minimum mortality temperature (MMT), and there was a larger cold effect in the more southern parts of China and a more pronounced hot effect in more northern parts. Conclusions: Both cold and hot temperatures increase mortality risk in China, and the relationship varies geographically. Our findings suggest that public health policies for climate change adaptation should be tailored to the local climate conditions.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherAcademic Press
dc.publisher.placeUnited States
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom72
dc.relation.ispartofpageto77
dc.relation.ispartofjournalEnvironmental Research
dc.relation.ispartofvolume137
dc.rights.retentionY
dc.subject.fieldofresearchEnvironmental and Occupational Health and Safety
dc.subject.fieldofresearchChemical Sciences
dc.subject.fieldofresearchEnvironmental Sciences
dc.subject.fieldofresearchBiological Sciences
dc.subject.fieldofresearchcode111705
dc.subject.fieldofresearchcode03
dc.subject.fieldofresearchcode05
dc.subject.fieldofresearchcode06
dc.titleThe temperature-mortality relationship in China: An analysis from 66 Chinese communities
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Sciences, Griffith School of Environment
gro.hasfulltextNo Full Text
gro.griffith.authorChu, Cordia M.
gro.griffith.authorRutherford, Shannon
gro.griffith.authorMa, Marvin


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record