Follow-up of cancer incidence associated with smoke-related PM2.5 exposure due to a coal mine fire.
Nayagam, S. N.; Yu, P.; Gao, C. X.; Smith, C. L.; Ikin, J. F.; Brown, D.; Kinsman, N.; Guo, Y.; Abramson, M. J.; Walker-Bone, K.; Sim, M. R.; Lane, T. J.
Show abstract
BackgroundThe link between chronic exposure to ambient PM2.5 and lung cancer is well established. However, there is limited evidence on the effects of more acute, high-level exposure such as that resulting from the 2014 Hazelwood coal mine fire in regional Australia. We investigated the effects of PM2.5 from the mine fire on cancer incidence 8.5 years later. MethodologyWe obtained Victorian Cancer Registry data linked to 2872 Hazelwood Health Study Adult Cohort members, for the period August 2014 to December 2022. Individual fire-related PM2.5 exposure was estimated by blending time-location diaries with spatial and temporal air pollution modelling data. To assess the cancer risk associated with fire related PM2.5 exposure, we employed competing risk regression models, accounting for people who died from causes other than cancer during follow-up and adjusting for confounders, including cigarette smoking. ResultsIn the post-mine fire period, 295 people (14.3/1000 person-years) were diagnosed with 332 new cancers (12.7/1000 person-years). No significant association was found between fire-related PM2.5 exposure and the overall incidence of cancer (HR = 1.00, 95%CI: 0.90-1.11). Additionally, no associations were identified with any specific cancer subtypes, including lung cancer. However, a higher risk of overall cancer incidence was observed in Morwell compared with Sale, (HR = 1.27, 95% CI: 0.93-1.73). ConclusionsWhile we found no evidence that this coal mine fire increased cancer incidence, it would be premature to rule out potential carcinogenic effects. Cancer has a long latency period, which means it will be necessary to analyse new data as they become available to more conclusively determine the effects of medium-duration, high-level smoke exposure.
Matching journals
The top 10 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Association of polycyclic aromatic hydrocarbons in moss with blood biomarker among nearby residents in Portland, Oregon 95%
- Prenatal polycyclic aromatic hydrocarbon exposure and birth outcomes in a pregnancy cohort in Nairobi, Kenya. 93%
- Potential Health Benefits of Eliminating Traffic Emissions in Urban Areas 93%
Similar papers in this journal
- A comprehensive analysis of racial disparities in chemical biomarker concentrations in United States women, 1999-2014 93%
- Nitrogen dioxide exposures from LPG stoves in a cleaner-cooking intervention trial 93%
- In vitro genotoxic and mutagenic potentials of combustion particles from marine fuels with different sulfur contents 93%
Similar papers in this journal
- Long-term effects of a coalmine fire on hospital and ambulance use: an interrupted time series study 98%
- Brick kiln pollution and its impact on health: A systematic review and meta-analysis 94%
- Using low-cost sensors and GPS to assess spatiotemporal variations in personal exposure to PM2.5 in the Washington State Twin Registry 93%
Similar papers in this journal
- All-cause and cardiac mortality in relation to smoke exposure nine years after the Hazelwood coal mine fire 96%
- The use of negative control outcomes in Mendelian Randomisation to detect potential population stratification or selection bias. 88%
- Healthy lifestyle, genetic risk, and incidence of cancer: A prospective cohort study of 13 cancer types 88%
Similar papers in this journal
- Racialized experience, biomarkers of lead exposure, and later-life cognition: a mediation analysis 92%
- Joint Effects of Indoor Air Pollution and Maternal Psychosocial Factors During Pregnancy on Trajectories of Early Childhood Psychopathology 92%
- Risk of COVID-19 Reinfection and Vaccine Breakthrough Infection, Madera County, California, 2021 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.