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- Title
Exposure Characterization of Wood Dust Particulate, Endotoxins, and (1–3)-β-d-Glucans, and Their Determinants in Mozambiquan Wood Processing Workers.
- Authors
Chamba, Paulino S; Baatjies, Roslynn; Singh, Tanusha S; Cumbane, Antonio J; Jeebhay, Mohamed F
- Abstract
Objectives Dust generated from wood processing comprises a heterogeneous mixture of inorganic and organic particles, including wood fragments, microorganisms, endotoxins, (1–3)-β- d -glucans, and allergens. This study characterized exposure to wood dust and its determinants in the Mozambiquan wood processing industry. Methods A total of 124 personal inhalable samples, collected from a stratified random sample of 30 workers, were analysed for dust particulate, endotoxins, and (1–3)-β- d -glucans. Mixed-effects models were developed to investigate significant exposure determinants. Results The geometric mean (GM) inhalable dust particulate concentrations were 3.29 mg m−3, 98 endotoxin units (EU) m−3, and 123 ng m−3 for (1–3)-β- d -glucans. Significant predictors for higher particulate levels included machinery (GMR = 1.93), sawing (GMR = 2.80), carpentry (GMR = 2.77), or painting (GMR = 3.03) tasks. Lebombo-ironwood species was associated with higher dust particulate levels (GMR = 1.97). Determinants of endotoxin concentrations included working with dry wood and damp cleaning methods, which were associated with lower levels. Working in closed buildings (GMR = 3.10) and dry sweeping methods were associated with higher (1–3)-β- d -glucan concentrations (GMR = 1.99). Conclusions Work tasks in certain exposure groups (machinery, sawing, carpentry, painting), processing certain wood species (Lebombo-ironwood) and working in closed buildings were associated with higher exposures, whilst using dry wood and damp cleaning practices reduced exposure levels.
- Subjects
MOZAMBIQUE; ENDOTOXIN analysis; AIR analysis; AIR pollution; DUST; CONSTRUCTION materials; CROSS-sectional method; OCCUPATIONAL exposure; INHALATION injuries; PLANTS; BETA-glucans; OCCUPATIONAL hazards; RESEARCH funding; DESCRIPTIVE statistics; RESPIRATION; STATISTICAL sampling; STATISTICAL models; ALLERGENS
- Publication
Annals of Work Exposures & Health, 2023, Vol 67, Issue 4, p485
- ISSN
2398-7308
- Publication type
Article
- DOI
10.1093/annweh/wxac100