Risk factors for deaths during the 2009 heat wave in Adelaide, Australia: a matched case-control study
详细信息 查看全文
- 作者：Ying Zhang ; Monika Nitschke…
- 关键词：Heat wave ; Risk factors ; Mortality ; Comorbidity ; Case ; control
- 刊名：International Journal of Biometeorology
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：61
- 期：1
- 页码：35-47
- 全文大小：
- 刊物类别：Earth and Environmental Science
- 刊物主题：Environment, general; Biological and Medical Physics, Biophysics; Meteorology; Animal Physiology; Plant Physiology; Environmental Health;
- 出版者：Springer Berlin Heidelberg
- ISSN：1432-1254
- 卷排序：61
文摘
The extreme heat wave in Australia in 2009 resulted in significantly increased number of daily deaths. The circumstances that lead to deaths during extreme heat have not been explored before in Australia. This study aims to identify the individual and community risk factors for deaths during this extreme heat wave in Adelaide. A matched case-control study was conducted. Cases were those who died in the Adelaide metropolitan area during the heat wave period. For each case, two community controls were randomly selected, matched by age and gender. Face-to-face or telephone interviews were conducted to collect data of demographic information, living environment, social support, health status and behavioural changes during the heat wave. Descriptive analysis, as well as simple and multiple conditional logistic regressions were performed. In total, 82 deaths and 164 matched community controls were included in the analysis, with a median age of 77.5 (range 26.6–100.7). The multiple logistic regression model indicated that, compared with controls, the risk of death during the heat wave was significantly increased for people living alone (AOR = 42.31, 95 % CI 2.3, 792.8) or having existing chronic heart disease (AOR = 22.4, 95 % CI 1.7, 303.0). In addition, having air conditioning in bedrooms (AOR = 0.004, 95 % CI 0.00006, 0.28) and participating in social activities more than once a week (AOR = 0.011, 95 % CI 0.0004, 0.29) indicated significant protective effects. We have identified factors that could significantly impact on the likelihood of deaths during heat waves. Our findings could assist in the development of future intervention programs and policies to reduce mortality associated with a warmer climate.