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dc.contributor.authorMa, Wenjun
dc.contributor.authorZeng, Weilin
dc.contributor.authorZhou, Maigeng
dc.contributor.authorWang, Lijun
dc.contributor.authorRutherford, Shannon
dc.contributor.authorLin, Hualiang
dc.contributor.authorLiu, Tao
dc.contributor.authorZhang, Yonghui
dc.contributor.authorXiao, Jianpeng
dc.contributor.authorZhang, Yewu
dc.contributor.authorWang, Xiaofeng
dc.contributor.authorGu, Xin
dc.contributor.authorChu, Cordia
dc.date.accessioned2018-07-25T03:30:08Z
dc.date.available2018-07-25T03:30:08Z
dc.date.issued2015
dc.identifier.issn0160-4120
dc.identifier.doi10.1016/j.envint.2014.11.004
dc.identifier.urihttp://hdl.handle.net/10072/69682
dc.description.abstractBackground:Many studies have reported increased mortality risk associated with heatwaves. However, few have assessed the health impacts at a nation scale in a developing country. This study examines the mortality effects of heat waves in China and explores whether the effects are modified by individual-level and community-level characteristics. Methods: Daily mortality and meteorological variables from 66 Chinese communities were collected for the period 2006-2011. Heat waves were defined as =2 consecutive days with mean temperature =95th percentile of the year-round community-specific distribution. The community-specific mortality effects of heat waves were first estimated using a Distributed Lag Non-linear Model (DLNM), adjusting for potential confounders. To investigate effect modification by individual characteristics (age, gender, cause of death, education level or place of death), separate DLNM models were further fitted. Potential effect modification by community characteristics was examined using a meta-regression analysis. Results: A total of 5.0% (95% confidence intervals (CI): 2.9%-7.2%) excess deaths were associated with heat waves in 66 Chinese communities, with the highest excess deaths in north China (6.0%, 95% CI: 1%-11.3%), followed by east China (5.2%, 95% CI: 0.4%-10.2%) and south China (4.5%, 95% CI: 1.4%-7.6%). Our results indicate that individual characteristics significantly modified heat waves effects in China, with greater effects on cardiovascular mortality, cerebrovascular mortality, respiratory mortality, the elderly, females, the population dying outside of a hospital and those with a higher education attainment. Heat wave mortality effects were also more pronounced for those living in urban cities or densely populated communities. Conclusion: Heatwaves significantly increased mortality risk in China with apparent spatial heterogeneity, which was modified by some individual-level and community-level factors. Our findings suggest adaptation plans that target vulnerable populations in susceptible communities during heat wave events should be developed to reduce health risks.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.publisherElsevier
dc.publisher.placeUnited Kingdom
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom103
dc.relation.ispartofpageto109
dc.relation.ispartofjournalEnvironment International
dc.relation.ispartofvolume75
dc.rights.retentionY
dc.subject.fieldofresearchEnvironmental and Occupational Health and Safety
dc.subject.fieldofresearchcode111705
dc.titleThe short-term effect of heat waves on mortality and its modifiers in China: An analysis from 66 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


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