Using multiple imputation to assign pesticide use for non-responders in the follow-up questionnaire in the Agricultural Health Study

Details

• Personal Author:
  Alavanja MCR ; Andreotti G ; Barker J ; Beane Freeman LE ; Blair, Austin ; Bu-Tian J ; Coble JB ; Heltshe SL ; Hines CJ ; Hoppin JA ; Koutros S ; Lubin JH ; Sandler DP ; Thomas KW
• Description:
  The Agricultural Health Study (AHS), a large prospective cohort, was designed to elucidate associations between pesticide use and other agricultural exposures and health outcomes. The cohort includes 57,310 pesticide applicators who were enrolled between 1993 and 1997 in Iowa and North Carolina. A follow-up questionnaire administered 5 years later was completed by 36,342 (63%) of the original participants. Missing pesticide use information from participants who did not complete the second questionnaire impedes both long-term pesticide exposure estimation and statistical inference of risk for health outcomes. Logistic regression and stratified sampling were used to impute key variables related to the use of specific pesticides for 20,968 applicators who did not complete the second questionnaire. To assess the imputation procedure, a 20% random sample of participants was withheld for comparison. The observed and imputed prevalence of any pesticide use in the holdout dataset were 85.7% and 85.3%, respectively. The distribution of prevalence and days/year of use for specific pesticides were similar across observed and imputed in the holdout sample. When appropriately implemented, multiple imputation can reduce bias and increase precision and can be more valid than other missing data approaches. [Description provided by NIOSH]
• Subjects:
  Agriculture Environmental Monitoring Epidemiology Insecticides Occupational Health Safety Surveys And Questionnaires
• Keywords:
  Agricultural-chemicals Agricultural-industry Agricultural-workers Author Keywords: Agriculture Cohort Studies Data-processing Exposure-assessment Health-surveys Mathematical-models Missing Data Pesticides Pesticides-and-agricultural-chemicals Precision Questionnaires Sampling Statistical-quality-control Surveillance-programs

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• ISSN:
  1559-0631
• Document Type:
  Text
• Genre:
  Journal Article
• Place as Subject:
  Maryland ; North Carolina ; Ohio ; OSHA Region 10 ; OSHA Region 3 ; OSHA Region 4 ; OSHA Region 5 ; Washington
• 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:
  409-416
• Volume:
  22
• Issue:
  4
• NIOSHTIC Number:
  nn:20041032
• Citation:
  J Expo Sci Environ Epidemiol 2012 Jul/Aug; 22(4):409-416
• Contact Point Address:
  Dr. Laura E. Beane Freeman, Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 6120 Executive Boulevard, RM 8112, MSC 7240, Rockville, MD 20892, USA
• Email:
  freemala@mail.nih.gov
• Federal Fiscal Year:
  2012
• NORA Priority Area:
  Agriculture, Forestry and Fishing
• Peer Reviewed:
  True
• Source Full Name:
  Journal of Exposure Science and Environmental Epidemiology
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:09187a3ded6eb45c18a0cbbfc51088e168229d5c1277cfd573cb4a97a26e9afce4b70f1d615d8aac6c5dff09ec0a4b8519457359fe2ecf75ffeb8cb900eeaf1b
• Download URL:
  https://stacks.cdc.gov/view/cdc/193701/cdc_193701_DS1.pdf
• File Type:
  [PDF - 445.69 KB ]