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Health effects of smoke from planned burns: a study protocol
David O'Keeffe1, Martine Dennekamp2, Lahn Straney2
1Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Level 6 The Alfred Centre, 99 Commercial Road, Melbourne, 3004, Australia. dok1@iinet.net.au.
BMC Public Health
|February 26, 2016
Summary
This study prospectively examines how planned burn smoke affects individual health, measuring cardiorespiratory outcomes and air pollution. Findings will inform public health strategies for smoke exposure management.
Area of Science:
- Environmental Health
- Respiratory Medicine
- Public Health
Background:
- Large populations face risks from bushfire and planned burn smoke.
- Previous studies relied on retrospective, population-level data (hospital/ambulance records).
- A gap exists in understanding individual health impacts from planned burn smoke exposure.
Purpose of the Study:
- To prospectively assess the association between individual health outcomes and exposure to planned burn smoke.
- To investigate specific cardiorespiratory health markers in relation to smoke exposure.
- To provide data for improved public health guidelines regarding prescribed burning.
Main Methods:
- Prospective cohort study design in Victoria, Australia.
- 50 adult participants undergoing three rounds of cardiorespiratory medical tests.
- Continuous monitoring of outdoor particulate air pollution and daily participant symptom/lung function recording.
Main Results:
- Analysis will utilize mixed-effect models, adjusting for potential confounders.
- Key health outcomes include lung inflammation, endothelial function, heart rate variability, and inflammatory markers.
- Daily symptom and lung function data will be correlated with measured air pollution levels.
Conclusions:
- The study aims to quantify individual health risks associated with planned burn smoke.
- Mitigation strategies for planned burns can be informed by these prospective findings.
- While acknowledging potential exposure misclassification, participant proximity to monitors aims to minimize this bias.
