Relative Contributions of Agricultural Drift, Para-Occupational, and Residential Use Exposure Pathways to House Dust Pesticide Concentrations: Meta-Regression of Published Data

Details

• Journal Article:
  Environmental Health Perspectives
• Personal Author:
  Deziel, Nicole C. ; Beane Freeman, Laura E. ; Graubard, Barry I. ; Jones, Rena R. ; Hoppin, Jane A. ; Thomas, Kent ; Hines, Cynthia J. ; Blair, Aaron ; Sandler, Dale P. ; Chen, Honglei ; Lubin, Jay H. ; Andreotti, Gabriella ; Alavanja, Michael C. R. ; Friesen, Melissa C.
• Description:
  Background: Increased pesticide concentrations in house dust in agricultural areas have been attributed to several exposure pathways, including agricultural drift, para-occupational, and residential use. Objective: To guide future exposure assessment efforts, we quantified relative contributions of these pathways using meta-regression models of published data on dust pesticide concentrations. Methods: From studies in North American agricultural areas published from 1995-2015, we abstracted dust pesticide concentrations reported as summary statistics (e.g., geometric means (GM)). We analyzed these data using mixed-effects meta-regression models that weighted each summary statistic by its inverse variance. Dependent variables were either the log-transformed GM (drift) or the log-transformed ratio of GMs from two groups (para-occupational, residential use). Results: For the drift pathway, predicted GMs decreased sharply and nonlinearly, with GMs 64% lower in homes 250 m versus 23 m from fields (inter-quartile range of published data) based on 52 statistics from 7 studies. For the para-occupational pathway, GMs were 2.3 times higher (95% confidence interval [CI]: 1.5-3.3; 15 statistics, 5 studies) in homes of farmers who applied pesticides more versus less recently or frequently. For the residential use pathway, GMs were 1.3 (95%CI: 1.1-1.4) and 1.5 (95%CI: 1.2-1.9) times higher in treated versus untreated homes, when the probability that a pesticide was used for the pest treatment was 1-19% and >/= 20%, respectively (88 statistics, 5 studies). [Description provided by NIOSH]
• Subjects:
  Agriculture Dust Farmers Hazardous Substances Insecticides Occupational Exposure Occupational Health Safety
• Keywords:
  Agriculture; Pesticides; Pesticides-and-agricultural-chemicals; Dusts; Humans; Pesticide-residues; Health-hazards; Farmers; Exposure assessment; Pest control; Dust measurement; Agricultural chemicals; Quantitative analysis; Regression analysis; Statistical analysis; Data processing; Analytical models
• Source:
  Environ Health Perspect 2017 Mar; 125(3):296-305
• ISSN:
  0091-6765
• Pubmed ID:
  27458779
• Pubmed Central ID:
  PMC5332194
• Document Type:
  Text
• Funding:
  Z01 CP010119/CP/NCI NIH HHS/United States ; Z01 ES049030/ES/NIEHS NIH HHS/United States
• Genre:
  Journal Article
• Place as Subject:
  Connecticut ; Maryland ; North Carolina ; Ohio ; OSHA Region 1 ; OSHA Region 3 ; OSHA Region 4 ; OSHA Region 5
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Division:
  DSHEFS - Division of Surveillance, Hazard Evaluations, and Field Studies
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  10 pdf pages
• Volume:
  125
• Issue:
  3
• NIOSHTIC Number:
  nn:20048425
• Contact Point Address:
  Nicole Deziel, Yale School of Public Health, 60 College St., New Haven, CT 06510
• Email:
  nicole.deziel@yale.edu
• Federal Fiscal Year:
  2017
• Peer Reviewed:
  True
• Collection(s):
  National Institute for Occupational Safety and Health CDC Public Access
• Main Document Checksum:
  urn:sha-512:c3cf21c50aa76e79480432b4ba7fb909cded094b7561b3c2c09a4ded7857540473c209edcf3d4db18d2dcb4f64f5f152d8f48e8b84b7ca69ae86bd2407bf041e
• Download URL:
  https://stacks.cdc.gov/view/cdc/44816/cdc_44816_DS1.pdf
• File Type:
  [PDF - 248.38 KB ]