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A principal factor analysis to characterize agricultural exposures among Nebraska veterans
Agricultural workers are at an increased risk of developing chronic respiratory disorders. Accurate estimation of long-term agricultural exposures based on questionnaires has been used to improve the validity of epidemiologic investigations and subsequent evaluation of the association between agricu...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5318659/ https://www.ncbi.nlm.nih.gov/pubmed/27049536 http://dx.doi.org/10.1038/jes.2016.20 |
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author | Weissenburger-Moser, Lisa Meza, Jane Yu, Fang Shiyanbola, Oyewale Romberger, Debra J LeVan, Tricia D |
author_facet | Weissenburger-Moser, Lisa Meza, Jane Yu, Fang Shiyanbola, Oyewale Romberger, Debra J LeVan, Tricia D |
author_sort | Weissenburger-Moser, Lisa |
collection | PubMed |
description | Agricultural workers are at an increased risk of developing chronic respiratory disorders. Accurate estimation of long-term agricultural exposures based on questionnaires has been used to improve the validity of epidemiologic investigations and subsequent evaluation of the association between agricultural exposures and chronic diseases. Our aim was to use principal factor analysis (PFA) to distill exposure data into essential variables characterizing long-term agricultural exposures. This is a cross-sectional study of veterans between the ages of 40 and 80 years and who worked on a farm for ≥2 years. Participant characteristics were: 98.1% were white males with a mean age 65±8 (SD) years and 39.8% had chronic obstructive pulmonary disease. The final model included four factors and explained 16.6% of the variance in the exposure data. Factor 1 was a heterogeneous factor; however, Factor 2 was exclusively composed of exposure to livestock such as hogs, dairy and poultry. Factor 3 included exposures from jobs on or off the farm such as wood dust, mineral dust, asbestos and spray paint. Crop exposure loaded exclusively in Factor 4 and included lifetime hours of exposure and maximum number of acres farmed in the participants' lifetime. The factors in the final model were interpretable and consistent with farming practices. |
format | Online Article Text |
id | pubmed-5318659 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53186592017-02-27 A principal factor analysis to characterize agricultural exposures among Nebraska veterans Weissenburger-Moser, Lisa Meza, Jane Yu, Fang Shiyanbola, Oyewale Romberger, Debra J LeVan, Tricia D J Expo Sci Environ Epidemiol Original Article Agricultural workers are at an increased risk of developing chronic respiratory disorders. Accurate estimation of long-term agricultural exposures based on questionnaires has been used to improve the validity of epidemiologic investigations and subsequent evaluation of the association between agricultural exposures and chronic diseases. Our aim was to use principal factor analysis (PFA) to distill exposure data into essential variables characterizing long-term agricultural exposures. This is a cross-sectional study of veterans between the ages of 40 and 80 years and who worked on a farm for ≥2 years. Participant characteristics were: 98.1% were white males with a mean age 65±8 (SD) years and 39.8% had chronic obstructive pulmonary disease. The final model included four factors and explained 16.6% of the variance in the exposure data. Factor 1 was a heterogeneous factor; however, Factor 2 was exclusively composed of exposure to livestock such as hogs, dairy and poultry. Factor 3 included exposures from jobs on or off the farm such as wood dust, mineral dust, asbestos and spray paint. Crop exposure loaded exclusively in Factor 4 and included lifetime hours of exposure and maximum number of acres farmed in the participants' lifetime. The factors in the final model were interpretable and consistent with farming practices. Nature Publishing Group 2017-03 2016-04-06 /pmc/articles/PMC5318659/ /pubmed/27049536 http://dx.doi.org/10.1038/jes.2016.20 Text en Copyright © 2017 Nature America, Inc., part of Springer Nature. http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/ |
spellingShingle | Original Article Weissenburger-Moser, Lisa Meza, Jane Yu, Fang Shiyanbola, Oyewale Romberger, Debra J LeVan, Tricia D A principal factor analysis to characterize agricultural exposures among Nebraska veterans |
title | A principal factor analysis to characterize agricultural exposures among Nebraska veterans |
title_full | A principal factor analysis to characterize agricultural exposures among Nebraska veterans |
title_fullStr | A principal factor analysis to characterize agricultural exposures among Nebraska veterans |
title_full_unstemmed | A principal factor analysis to characterize agricultural exposures among Nebraska veterans |
title_short | A principal factor analysis to characterize agricultural exposures among Nebraska veterans |
title_sort | principal factor analysis to characterize agricultural exposures among nebraska veterans |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5318659/ https://www.ncbi.nlm.nih.gov/pubmed/27049536 http://dx.doi.org/10.1038/jes.2016.20 |
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