Literature DB >> 35731645

A Task-Specific Algorithm to Estimate Occupational (1→3)-β-D-glucan Exposure for Farmers in the Biomarkers of Exposure and Effect in Agriculture Study.

Melissa C Friesen1, Felicia Hung2, Shuai Xie1, Susan M Viet3, Nicole C Deziel2, Sarah J Locke1, Pabitra R Josse1, Jean-François Sauvé4,5, Gabriella Andreotti1, Peter S Thorne6, Laura E Beane-Freeman1, Jonathan N Hofmann1.   

Abstract

OBJECTIVES: Farmers may be exposed to glucans (a cell component of molds) through a variety of tasks. The magnitude of exposure depends on each farmer's activities and their duration. We developed a task-specific algorithm to estimate glucan exposure that combines measurements of (1→3)-β-D-glucan with questionnaire responses from farmers in the Biomarkers of Exposure and Effect in Agriculture (BEEA) study.
METHODS: To develop the algorithm, we first derived task-based geometric means (GMs) of glucan exposure for farming tasks using inhalable personal air sampling data from a prior air monitoring study in a subset of 32 BEEA farmers. Next, these task-specific GMs were multiplied by subject-reported activity frequencies for three time windows (the past 30 days, past 7 days, and past 1 day) to obtain subject-, task-, and time window-specific glucan scores. These were summed together to obtain a total glucan score for each subject and time window. We examined the within- and between-task correlation in glucan scores for different time frames. Additionally, we assessed the algorithm for the 'past 1 day' time window using full-shift concentrations from the 32 farmers who participated in air monitoring the day prior to an interview using multilevel statistical models to compare the measured glucan concentration with algorithm glucan scores.
RESULTS: We focused on the five highest exposed tasks: poultry confinement (300 ng/m3), swine confinement (300 ng/m3), clean grain bins (200 ng/m3), grind feed (100 ng/m3), and stored seed or grain (50 ng/m3); the remaining tasks were <50 ng/m3 and had similar concentrations to each other. Overall, 67% of the participants reported at least one of these tasks. The most prevalent task was stored seed or grain (64%). The highest median glucan scores were observed for poultry confinement and swine confinement; these tasks were reported by 2% and 8% of the participants, respectively. The correlation between scores for the same task but different time windows was high for swine confinement and poultry confinement, but low for clean grain bins. Task-specific scores had low correlation with other tasks. Prior day glucan concentration was associated with the total glucan 'past 1 day' score and with swine confinement and clean grain bin task scores.
CONCLUSIONS: This study provides insight into the variability and key sources of glucan exposure in a US farming population. It also provides a framework for better glucan exposure assessment in epidemiologic studies and is a crucial starting point for evaluating health risks associated with glucans in future epidemiologic evaluations of this population. Published by Oxford University Press on behalf of The British Occupational Hygiene Society 2022.

Entities:  

Keywords:  bioaerosol exposures; exposure assessment; farming activities; occupational questionnaires

Mesh:

Substances:

Year:  2022        PMID: 35731645      PMCID: PMC9551320          DOI: 10.1093/annweh/wxac041

Source DB:  PubMed          Journal:  Ann Work Expo Health        ISSN: 2398-7308            Impact factor:   2.779


  17 in total

Review 1.  Bioaerosol health effects and exposure assessment: progress and prospects.

Authors:  J Douwes; P Thorne; N Pearce; D Heederik
Journal:  Ann Occup Hyg       Date:  2003-04

2.  Workers' exposure to dust, endotoxin and β-(1-3) glucan at four large-scale composting facilities.

Authors:  P Sykes; R H K Morris; J A Allen; J D Wildsmith; K P Jones
Journal:  Waste Manag       Date:  2010-11-18       Impact factor: 7.145

3.  Attempts to reduce exposure to fungi, β-glucan, bacteria, endotoxin and dust in vegetable greenhouses and a packaging unit.

Authors:  Anne Mette Madsen; Kira Tendal; Margit W Frederiksen
Journal:  Sci Total Environ       Date:  2013-10-08       Impact factor: 7.963

4.  Respiratory health in children, and indoor exposure to (1,3)-β-D-glucan, EPS mould components and endotoxin.

Authors:  C Tischer; U Gehring; C-M Chen; M Kerkhof; G Koppelman; S Sausenthaler; O Herbarth; B Schaaf; I Lehmann; U Krämer; D Berdel; A von Berg; C P Bauer; S Koletzko; H-E Wichmann; B Brunekreef; J Heinrich
Journal:  Eur Respir J       Date:  2010-09-03       Impact factor: 16.671

Review 5.  (1-->3)-Beta-D-glucans and respiratory health: a review of the scientific evidence.

Authors:  J Douwes
Journal:  Indoor Air       Date:  2005-06       Impact factor: 5.770

6.  Airborne microorganisms, endotoxin, and (1→3)-β-D-glucan exposure in greenhouses and assessment of respiratory symptoms among workers.

Authors:  Atin Adhikari; Jayanta Gupta; John R Wilkins; Rolanda L Olds; Reshmi Indugula; Kyungmin J Cho; Chunlei Li; Michael Yermakov
Journal:  Ann Occup Hyg       Date:  2010-12-20

7.  Characterization of inhalable endotoxin, glucan, and dust exposures in Iowa farmers.

Authors:  Jean-François Sauvé; Sarah J Locke; Pabitra R Josse; Emma M Stapleton; Nervana Metwali; Ralph W Altmaier; Gabriella Andreotti; Peter S Thorne; Jonathan N Hofmann; Laura E Beane Freeman; Melissa C Friesen
Journal:  Int J Hyg Environ Health       Date:  2020-04-17       Impact factor: 5.840

8.  Pulmonary inflammation induced by repeated inhalations of beta(1,3)-D-glucan and endotoxin.

Authors:  B Fogelmark; M Sjöstrand; R Rylander
Journal:  Int J Exp Pathol       Date:  1994-04       Impact factor: 1.925

9.  Measurement of β-(1,3)-glucan in household dust samples using Limulus amebocyte assay and enzyme immunoassays: an inter-laboratory comparison.

Authors:  Collin R Brooks; Rob Siebers; Julian Crane; Ilka Noss; Inge M Wouters; Ingrid Sander; Monika Raulf-Heimsoth; Peter S Thorne; Nervana Metwali; Jeroen Douwes
Journal:  Environ Sci Process Impacts       Date:  2012-12-05       Impact factor: 4.238

10.  The Biomarkers of Exposure and Effect in Agriculture (BEEA) Study: Rationale, Design, Methods, and Participant Characteristics.

Authors:  Jonathan N Hofmann; Laura E Beane Freeman; Charles F Lynch; Gabriella Andreotti; Kent W Thomas; Dale P Sandler; Sharon A Savage; Michael C Alavanja
Journal:  J Toxicol Environ Health A       Date:  2015-11-09
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