Does diet quality moderate the long-term effects of discrete but extreme PM2.5 exposure on respiratory symptoms? A study of the Hazelwood coalmine fire
Govindaraju, T.; Man, M.; Owen, A. J.; Carroll, M.; Borg, B. M.; Smith, C. L.; Gao, C. X.; Brown, D.; Poland, D.; Allgood, S.; Ikin, J. F.; Abramson, M. J.; McCaffrey, T. A.; Lane, T. J.
Show abstract
In 2014, a fire at an open cut coalmine in regional Victoria, Australia burned for 6 weeks. Residents of the nearby town of Morwell were exposed to smoke, which included high levels of fine particulate matter (PM2.5). We investigated whether the long-term effects of PM2.5 on respiratory health were moderated by diet quality. A cross-sectional analysis was conducted of data collected 8.5 years after the mine fire from 282 residents of Morwell and 166 residents from the nearby unexposed town of Sale. Primary outcomes were respiratory symptoms. Exposure was coalmine fire-related PM2.5 and diet quality was assessed with the Australian Eating Survey (AES). The moderating effect of diet quality on respiratory outcomes associated with PM2.5 was assessed using logistic regression models, adjusting for potential confounders. Diet quality was poor in this sample, with 60% in the lowest category of overall diet quality. Overall diet quality and fruit and vegetable quality significantly attenuated the association between PM2.5 and prevalence of chronic cough and phlegm. Sauce/condiment intake was associated with a greater effect of PM2.5 on COPD prevalence. No other moderating effects were significant. The moderating effects of overall diet quality and vegetable and fruit intake aligned with a priori hypothesis, suggesting potential protective benefits. Considering the poor-quality diet in this community, we would encourage better eating habits including improving the fruit and vegetable intake. HighlightsO_LIFire-related PM2.5 associated with higher prevalence of chronic cough and phlegm C_LIO_LIHowever, these effects were smaller with a higher-quality diet C_LIO_LIIn line with a priori hypotheses, effect only observed among antioxidant-rich foods C_LI
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Associations between respiratory health outcomes and coal mine fire PM2.5 smoke exposure: a cross-sectional study 96%
- HIPTox – Hazard Identification Platform to Assess the Health Impacts from Indoor and Outdoor Air Pollutant Exposures, through Mechanistic Toxicology: A single-centre double-blind human exposure trial protocol 95%
- Short-term acute exposure to wildfire smoke and lung function in a Royal Canadian Mounted Police (RCMP) cohort 95%
Similar papers in this journal
- Air pollution exposure, respiratory consequences, and perceptions among urban African children living in poor conditions – a case study in Abidjan, Côte d’Ivoire 95%
- Respiratory symptoms after coalmine fire and pandemic: a longitudinal analysis of the Hazelwood Health Study adult cohort 95%
- Prevalence and determinants of evidence of silicosis and impaired lung function, among small scale tanzanite miners and the peri-mining community in northern Tanzania 93%
Similar papers in this journal
- Characterising personal, household, and community PM2.5 exposure in one urban and two rural communities in China 94%
- Air pollution, sociodemographic and health conditions effects on COVID-19 mortality in Colombia: an ecological study 93%
- Defining the in vivo mechanism of air pollutant toxicity using murine stress response biomarkers. 92%
Similar papers in this journal
- Long-term exposure to air-pollution and COVID-19 mortality in England: a hierarchical spatial analysis 93%
- Lifetime air pollution exposure from prenatal to 18 years and cardiovascular health in young adulthood: findings from a UK birth cohort 93%
- Nitrogen dioxide exposures from LPG stoves in a cleaner-cooking intervention trial 93%
"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.