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| Content Provider | PubMed Central |
|---|---|
| Author | Guo, Chao-yu Pan, Wen-chi Chen, Mu-jean Tsai, Chen-wei Chen, Nai-tzu Su, Huey-jen |
| Editor | Hsiao, Chuhsing Kate |
| Copyright Year | 2014 |
| Abstract | Daily temperature measures are commonly used when examining the association between temperature and mortality. In fact, temperature measures are available 24 hours a day and more detailed records may provide a better prediction of mortality compared to daily statistics. In this article, monthly stratified analysis modeling for mortality is conducted for the total population as well as the stratified elderly and younger subgroups. We identified the most significant time during the day that is associated with daily mortality. Surprisingly, the estimates of relative risk and magnitude of associations derived from the hourly temperature measures are similar or even stronger compared to those modeled by the daily statistics. This phenomenon remains true for lagged hourly temperature measures and the changing patterns of associations from January through December are revealed. In summary, people are the most vulnerable to temperature variations in the early morning around 5 am and the night time around 8 pm. |
| Related Links | http://dx.doi.org/10.1371/journal.pone.0113195 |
| Starting Page | 113195 |
| File Format | |
| ISSN | 19326203 |
| e-ISSN | 19326203 |
| Journal | PLoS ONE |
| Issue Number | 12 |
| Volume Number | 9 |
| Language | English |
| Publisher | Public Library of Science |
| Publisher Date | 2014-12-01 |
| Access Restriction | Open |
| Rights Holder | Public Library of Science |
| Subject Keyword | Biochemistry, Genetics and Molecular Biology(all) Agricultural and Biological Sciences(all) Medicine(all) Research in Higher Education |
| Content Type | Text |
| Resource Type | Article |
| Subject | Multidisciplinary |
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