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Risk factors for deaths during the 2009 heat wave in Adelaide, Australia: a matched case-control study.

Publication ,  Journal Article
Zhang, Y; Nitschke, M; Krackowizer, A; Dear, K; Pisaniello, D; Weinstein, P; Tucker, G; Shakib, S; Bi, P
Published in: International journal of biometeorology
January 2017

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.

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Published In

International journal of biometeorology

DOI

EISSN

1432-1254

ISSN

0020-7128

Publication Date

January 2017

Volume

61

Issue

1

Start / End Page

35 / 47

Related Subject Headings

  • South Australia
  • Mortality
  • Middle Aged
  • Meteorology & Atmospheric Sciences
  • Male
  • Logistic Models
  • Infrared Rays
  • Humans
  • Female
  • Cities
 

Citation

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Zhang, Y., Nitschke, M., Krackowizer, A., Dear, K., Pisaniello, D., Weinstein, P., … Bi, P. (2017). Risk factors for deaths during the 2009 heat wave in Adelaide, Australia: a matched case-control study. International Journal of Biometeorology, 61(1), 35–47. https://doi.org/10.1007/s00484-016-1189-9
Zhang, Ying, Monika Nitschke, Antoinette Krackowizer, Keith Dear, Dino Pisaniello, Philip Weinstein, Graeme Tucker, Sepehr Shakib, and Peng Bi. “Risk factors for deaths during the 2009 heat wave in Adelaide, Australia: a matched case-control study.International Journal of Biometeorology 61, no. 1 (January 2017): 35–47. https://doi.org/10.1007/s00484-016-1189-9.
Zhang Y, Nitschke M, Krackowizer A, Dear K, Pisaniello D, Weinstein P, et al. Risk factors for deaths during the 2009 heat wave in Adelaide, Australia: a matched case-control study. International journal of biometeorology. 2017 Jan;61(1):35–47.
Zhang, Ying, et al. “Risk factors for deaths during the 2009 heat wave in Adelaide, Australia: a matched case-control study.International Journal of Biometeorology, vol. 61, no. 1, Jan. 2017, pp. 35–47. Epmc, doi:10.1007/s00484-016-1189-9.
Zhang Y, Nitschke M, Krackowizer A, Dear K, Pisaniello D, Weinstein P, Tucker G, Shakib S, Bi P. Risk factors for deaths during the 2009 heat wave in Adelaide, Australia: a matched case-control study. International journal of biometeorology. 2017 Jan;61(1):35–47.
Journal cover image

Published In

International journal of biometeorology

DOI

EISSN

1432-1254

ISSN

0020-7128

Publication Date

January 2017

Volume

61

Issue

1

Start / End Page

35 / 47

Related Subject Headings

  • South Australia
  • Mortality
  • Middle Aged
  • Meteorology & Atmospheric Sciences
  • Male
  • Logistic Models
  • Infrared Rays
  • Humans
  • Female
  • Cities