Evidence map›Paper›PMID 27049536›Full record

ArticleJournal of exposure science & environmental epidemiology2017

A principal factor analysis to characterize agricultural exposures among Nebraska veterans.

Lisa Weissenburger-Moser, Jane Meza, Fang Yu, Oyewale Shiyanbola, Debra J Romberger, Tricia D LeVan

Abstract read
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Lisa Weissenburger-MoserDepartment of Epidemiology, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Jane MezaDepartment of Biostatistics, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Fang YuDepartment of Biostatistics, University of Nebraska Medical Center, Omaha, Nebraska, USA.
Oyewale ShiyanbolaDepartment of Population Health, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Debra J RombergerDepartment of Internal Medicine, University of Nebraska Medical Center and Veterans Affairs Nebraska Western Iowa Healthcare System, Omaha, Nebraska, USA.
Tricia D LeVanDepartment of Epidemiology, University of Nebraska Medical Center, Omaha, Nebraska, USA.

Funding

Surveillance of Agricultural Injuries in the Central States RegionsU54OH010162 · OH · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI RAUTIAINEN, RISTO HEIKKI · 2011 to 2025
$23.6M
Targeting Airway Inflammation from Concentrated Animal Feeding Operation DustR01OH008539 · OH · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI ROMBERGER, DEBRA J · 2006 to 2014
$3.7M
NIOSH CDC HHS R01 OH008539NIOSH CDC HHS U54 OH010162
6 · The paper itself

Abstract

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.

Indexed as

AgricultureVeteransAdultAgedAged, 80 and overAgricultural Workers' DiseasesAgrochemicalsAir Pollutants, OccupationalAnimalsCross-Sectional StudiesDustEnvironmental MonitoringFactor Analysis, StatisticalFarmersFemaleHumansAgrochemicalsAir Pollutants, OccupationalDust

Identifiers

PMID27049536
PMCPMC5318659

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.