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Systematic review of methods used to assess exposure to pesticides in occupational epidemiology studies, 1993–2017
OBJECTIVE: Numerous exposure assessment methods (EAM) exist for investigating health effects of occupational exposure to pesticides. Direct (eg, biomonitoring) and indirect methods (eg, self-reported exposures) are however associated with degrees of exposure misclassification. We systematically revi...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7279185/ https://www.ncbi.nlm.nih.gov/pubmed/32098789 http://dx.doi.org/10.1136/oemed-2019-105880 |
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author | Ohlander, Johan Fuhrimann, Samuel Basinas, Ioannis Cherrie, John W Galea, Karen S Povey, Andrew C van Tongeren, Martie Harding, Anne-Helen Jones, Kate Vermeulen, Roel Kromhout, Hans |
author_facet | Ohlander, Johan Fuhrimann, Samuel Basinas, Ioannis Cherrie, John W Galea, Karen S Povey, Andrew C van Tongeren, Martie Harding, Anne-Helen Jones, Kate Vermeulen, Roel Kromhout, Hans |
author_sort | Ohlander, Johan |
collection | PubMed |
description | OBJECTIVE: Numerous exposure assessment methods (EAM) exist for investigating health effects of occupational exposure to pesticides. Direct (eg, biomonitoring) and indirect methods (eg, self-reported exposures) are however associated with degrees of exposure misclassification. We systematically reviewed EAM in studies of occupational pesticide exposure. METHODS: We searched for articles reporting observational epidemiological studies in MEDLINE and Embase published 1993 to 2017. The relative frequency of EAM was analysed according to EAM type (direct and indirect methods), health outcome, study design, study location (country) and specificity of assessment. Temporal trends in EAM were analysed. RESULTS: In 1298 included articles 1521 EAM occurrences were documented. Indirect EAM (78.3%), primarily self-reported exposures (39.3%) and job titles assessments (9.5%), were mainly applied in case-control studies (95.0%), in high-income countries (85.0%) and in studies of doctor-diagnosed health outcomes (>85%). Direct EAM (20.8%), primarily biomonitoring of blood (15.6%) or urine (4.7%), were predominantly applied in cross-sectional studies (29.8%), in lower middle-income countries (40.9%) and in studies of neurological (50.0%) outcomes. Between 1993 to 2017 no distinct time trends regarding the ratio indirect to direct methods was seen. Within the category of indirect methods use of self-reported exposures and job exposure matrices increased while assessments by job titles and registers decreased. The use of algorithms showed no trend. The specificity of pesticide assessment increased since studies assessing exposure by using job title as a proxy declined. Assessments of type of pesticide increased. CONCLUSION: Over the last 25 years, the ratio (5:1) of indirect to direct EAM applied in articles on occupational pesticide epidemiology stayed relatively constant; changes were mainly attributable to increasing use of self-reported exposures and job exposure matrices. This review, combined with studies assessing EAM validity, will inform on magnitudes of exposure misclassification and help improve the quality of studies on occupational pesticides exposure. |
format | Online Article Text |
id | pubmed-7279185 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-72791852020-06-15 Systematic review of methods used to assess exposure to pesticides in occupational epidemiology studies, 1993–2017 Ohlander, Johan Fuhrimann, Samuel Basinas, Ioannis Cherrie, John W Galea, Karen S Povey, Andrew C van Tongeren, Martie Harding, Anne-Helen Jones, Kate Vermeulen, Roel Kromhout, Hans Occup Environ Med Systematic Review OBJECTIVE: Numerous exposure assessment methods (EAM) exist for investigating health effects of occupational exposure to pesticides. Direct (eg, biomonitoring) and indirect methods (eg, self-reported exposures) are however associated with degrees of exposure misclassification. We systematically reviewed EAM in studies of occupational pesticide exposure. METHODS: We searched for articles reporting observational epidemiological studies in MEDLINE and Embase published 1993 to 2017. The relative frequency of EAM was analysed according to EAM type (direct and indirect methods), health outcome, study design, study location (country) and specificity of assessment. Temporal trends in EAM were analysed. RESULTS: In 1298 included articles 1521 EAM occurrences were documented. Indirect EAM (78.3%), primarily self-reported exposures (39.3%) and job titles assessments (9.5%), were mainly applied in case-control studies (95.0%), in high-income countries (85.0%) and in studies of doctor-diagnosed health outcomes (>85%). Direct EAM (20.8%), primarily biomonitoring of blood (15.6%) or urine (4.7%), were predominantly applied in cross-sectional studies (29.8%), in lower middle-income countries (40.9%) and in studies of neurological (50.0%) outcomes. Between 1993 to 2017 no distinct time trends regarding the ratio indirect to direct methods was seen. Within the category of indirect methods use of self-reported exposures and job exposure matrices increased while assessments by job titles and registers decreased. The use of algorithms showed no trend. The specificity of pesticide assessment increased since studies assessing exposure by using job title as a proxy declined. Assessments of type of pesticide increased. CONCLUSION: Over the last 25 years, the ratio (5:1) of indirect to direct EAM applied in articles on occupational pesticide epidemiology stayed relatively constant; changes were mainly attributable to increasing use of self-reported exposures and job exposure matrices. This review, combined with studies assessing EAM validity, will inform on magnitudes of exposure misclassification and help improve the quality of studies on occupational pesticides exposure. BMJ Publishing Group 2020-06 2020-02-25 /pmc/articles/PMC7279185/ /pubmed/32098789 http://dx.doi.org/10.1136/oemed-2019-105880 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Systematic Review Ohlander, Johan Fuhrimann, Samuel Basinas, Ioannis Cherrie, John W Galea, Karen S Povey, Andrew C van Tongeren, Martie Harding, Anne-Helen Jones, Kate Vermeulen, Roel Kromhout, Hans Systematic review of methods used to assess exposure to pesticides in occupational epidemiology studies, 1993–2017 |
title | Systematic review of methods used to assess exposure to pesticides in occupational epidemiology studies, 1993–2017 |
title_full | Systematic review of methods used to assess exposure to pesticides in occupational epidemiology studies, 1993–2017 |
title_fullStr | Systematic review of methods used to assess exposure to pesticides in occupational epidemiology studies, 1993–2017 |
title_full_unstemmed | Systematic review of methods used to assess exposure to pesticides in occupational epidemiology studies, 1993–2017 |
title_short | Systematic review of methods used to assess exposure to pesticides in occupational epidemiology studies, 1993–2017 |
title_sort | systematic review of methods used to assess exposure to pesticides in occupational epidemiology studies, 1993–2017 |
topic | Systematic Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7279185/ https://www.ncbi.nlm.nih.gov/pubmed/32098789 http://dx.doi.org/10.1136/oemed-2019-105880 |
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