Socio‐demographic vulnerability to heatwave impacts in Brisbane, Australia: a time series analysis
Abstract Objective: Examining the association between socioeconomic disadvantage and heat‐related emergency department (ED) visits during heatwave periods in Brisbane, 2000–2008. Methods: Data from 10 public EDs were analysed using a generalised additive model for disease categories, age groups and...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2014-10-01
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| Series: | Australian and New Zealand Journal of Public Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1111/1753-6405.12253 |
| _version_ | 1797711550593630208 |
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| author | Ghasem (Sam) Toloo Yuming Guo Lyle Turner Xin Qi Peter Aitken Shilu Tong |
| author_facet | Ghasem (Sam) Toloo Yuming Guo Lyle Turner Xin Qi Peter Aitken Shilu Tong |
| author_sort | Ghasem (Sam) Toloo |
| collection | DOAJ |
| description | Abstract Objective: Examining the association between socioeconomic disadvantage and heat‐related emergency department (ED) visits during heatwave periods in Brisbane, 2000–2008. Methods: Data from 10 public EDs were analysed using a generalised additive model for disease categories, age groups and gender. Results: Cumulative relative risks (RR) for non‐external causes other than cardiovascular and respiratory diseases were 1.11 and 1.05 in most and least disadvantaged areas, respectively. The pattern persisted on lags 0–2. Elevated risks were observed for all age groups above 15 years in all areas. However, with RRs of 1.19–1.28, the 65–74 years age group in more disadvantaged areas stood out, compared with RR=1.08 in less disadvantaged areas. This pattern was observed on lag 0 but did not persist. The RRs for male presentations were 1.10 and 1.04 in most and less disadvantaged areas; for females, RR was 1.04 in less disadvantaged areas. This pattern persisted across lags 0–2. Conclusions: Heat‐related ED visits increased during heatwaves. However, due to overlapping confidence intervals, variations across socioeconomic areas should be interpreted cautiously. Implications: ED data may be utilised for monitoring heat‐related health impacts, particularly on the first day of heatwaves, to facilitate prompt interventions and targeted resource allocation. |
| first_indexed | 2024-03-12T07:08:37Z |
| format | Article |
| id | doaj.art-ed2646a879104b70a819e4fd2a0758ab |
| institution | Directory Open Access Journal |
| issn | 1326-0200 1753-6405 |
| language | English |
| last_indexed | 2024-03-12T07:08:37Z |
| publishDate | 2014-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Australian and New Zealand Journal of Public Health |
| spelling | doaj.art-ed2646a879104b70a819e4fd2a0758ab2023-09-02T23:16:51ZengElsevierAustralian and New Zealand Journal of Public Health1326-02001753-64052014-10-0138543043510.1111/1753-6405.12253Socio‐demographic vulnerability to heatwave impacts in Brisbane, Australia: a time series analysisGhasem (Sam) Toloo0Yuming Guo1Lyle Turner2Xin Qi3Peter Aitken4Shilu Tong5School of Public Health and Social Work, Queensland University of TechnologySchool of Medicine, University of QueenslandFaculty of Medicine, Nursing & Health Sciences, Monash University, VictoriaSchool of Public Health and Social Work, Queensland University of TechnologySchool of Public Health, Tropical Medicine & Rehabilitation Sciences, James Cook University, QueenslandSchool of Public Health and Social Work, Queensland University of TechnologyAbstract Objective: Examining the association between socioeconomic disadvantage and heat‐related emergency department (ED) visits during heatwave periods in Brisbane, 2000–2008. Methods: Data from 10 public EDs were analysed using a generalised additive model for disease categories, age groups and gender. Results: Cumulative relative risks (RR) for non‐external causes other than cardiovascular and respiratory diseases were 1.11 and 1.05 in most and least disadvantaged areas, respectively. The pattern persisted on lags 0–2. Elevated risks were observed for all age groups above 15 years in all areas. However, with RRs of 1.19–1.28, the 65–74 years age group in more disadvantaged areas stood out, compared with RR=1.08 in less disadvantaged areas. This pattern was observed on lag 0 but did not persist. The RRs for male presentations were 1.10 and 1.04 in most and less disadvantaged areas; for females, RR was 1.04 in less disadvantaged areas. This pattern persisted across lags 0–2. Conclusions: Heat‐related ED visits increased during heatwaves. However, due to overlapping confidence intervals, variations across socioeconomic areas should be interpreted cautiously. Implications: ED data may be utilised for monitoring heat‐related health impacts, particularly on the first day of heatwaves, to facilitate prompt interventions and targeted resource allocation.https://doi.org/10.1111/1753-6405.12253socioeconomic disadvantagevulnerabilityheatwavesemergency departmentstemporal analysis |
| spellingShingle | Ghasem (Sam) Toloo Yuming Guo Lyle Turner Xin Qi Peter Aitken Shilu Tong Socio‐demographic vulnerability to heatwave impacts in Brisbane, Australia: a time series analysis Australian and New Zealand Journal of Public Health socioeconomic disadvantage vulnerability heatwaves emergency departments temporal analysis |
| title | Socio‐demographic vulnerability to heatwave impacts in Brisbane, Australia: a time series analysis |
| title_full | Socio‐demographic vulnerability to heatwave impacts in Brisbane, Australia: a time series analysis |
| title_fullStr | Socio‐demographic vulnerability to heatwave impacts in Brisbane, Australia: a time series analysis |
| title_full_unstemmed | Socio‐demographic vulnerability to heatwave impacts in Brisbane, Australia: a time series analysis |
| title_short | Socio‐demographic vulnerability to heatwave impacts in Brisbane, Australia: a time series analysis |
| title_sort | socio demographic vulnerability to heatwave impacts in brisbane australia a time series analysis |
| topic | socioeconomic disadvantage vulnerability heatwaves emergency departments temporal analysis |
| url | https://doi.org/10.1111/1753-6405.12253 |
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