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Occupational stress among farm and ranch operators in the midwestern United States

BACKGROUND: This study used surveillance data from 2018 and 2020 to test the stability of work-related strain symptoms (high stress, sleep deprivation, exhaustion) with demographic factors, work characteristics, and musculoskeletal symptoms among farm and ranch operators in seven midwestern states o...

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Autores principales: Chengane, Sabrine, Beseler, Cheryl L., Duysen, Ellen G., Rautiainen, Risto H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587493/
https://www.ncbi.nlm.nih.gov/pubmed/34772388
http://dx.doi.org/10.1186/s12889-021-12053-4
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author Chengane, Sabrine
Beseler, Cheryl L.
Duysen, Ellen G.
Rautiainen, Risto H.
author_facet Chengane, Sabrine
Beseler, Cheryl L.
Duysen, Ellen G.
Rautiainen, Risto H.
author_sort Chengane, Sabrine
collection PubMed
description BACKGROUND: This study used surveillance data from 2018 and 2020 to test the stability of work-related strain symptoms (high stress, sleep deprivation, exhaustion) with demographic factors, work characteristics, and musculoskeletal symptoms among farm and ranch operators in seven midwestern states of the United States. METHODS: Cross-sectional surveys were conducted among farm and ranch operators in 2018 (n = 4423) and 2020 (n = 3492). Operators were asked whether, in the past 12 months, they experienced extended work periods that resulted in high stress levels, sleep deprivation, exhaustion/fatigue, or other work-related strain symptoms. Covariates included personal and demographic factors, work characteristics, number of injuries, work-related health conditions, and exposures on the operation. Summary statistics were tabulated for explanatory and outcome variables. The classification (decision) tree approach was used to assess what variables would best separate operators with and without reported strain symptoms, based on a set of explanatory variables. Regularized regression was used to generate effect estimates between the work strain variables and explanatory variables. RESULTS: High stress level, sleep deprivation, and exhaustion were reported more frequently in 2018 than 2020. The classification tree reproduced the 2018 model using 2020 data with approximately 80% accuracy. The mean number of reported MSD symptoms increased slightly from 1.23 in 2018 to 1.41 in 2020. Older age, more time spent in farm work, higher gross farm income (GFI), and MSD symptoms in six body regions (ankles/feet, knees, lower back, neck, shoulders, wrists/hands) were associated with all three work strain symptoms. CONCLUSIONS: Musculoskeletal pain and discomfort was a strong predictor for stress, sleep deprivation, and exhaustion among farmers and ranchers. This finding indicates that reducing MSD pain and discomfort is beneficial for both physical and mental health. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-12053-4.
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spelling pubmed-85874932021-11-12 Occupational stress among farm and ranch operators in the midwestern United States Chengane, Sabrine Beseler, Cheryl L. Duysen, Ellen G. Rautiainen, Risto H. BMC Public Health Research Article BACKGROUND: This study used surveillance data from 2018 and 2020 to test the stability of work-related strain symptoms (high stress, sleep deprivation, exhaustion) with demographic factors, work characteristics, and musculoskeletal symptoms among farm and ranch operators in seven midwestern states of the United States. METHODS: Cross-sectional surveys were conducted among farm and ranch operators in 2018 (n = 4423) and 2020 (n = 3492). Operators were asked whether, in the past 12 months, they experienced extended work periods that resulted in high stress levels, sleep deprivation, exhaustion/fatigue, or other work-related strain symptoms. Covariates included personal and demographic factors, work characteristics, number of injuries, work-related health conditions, and exposures on the operation. Summary statistics were tabulated for explanatory and outcome variables. The classification (decision) tree approach was used to assess what variables would best separate operators with and without reported strain symptoms, based on a set of explanatory variables. Regularized regression was used to generate effect estimates between the work strain variables and explanatory variables. RESULTS: High stress level, sleep deprivation, and exhaustion were reported more frequently in 2018 than 2020. The classification tree reproduced the 2018 model using 2020 data with approximately 80% accuracy. The mean number of reported MSD symptoms increased slightly from 1.23 in 2018 to 1.41 in 2020. Older age, more time spent in farm work, higher gross farm income (GFI), and MSD symptoms in six body regions (ankles/feet, knees, lower back, neck, shoulders, wrists/hands) were associated with all three work strain symptoms. CONCLUSIONS: Musculoskeletal pain and discomfort was a strong predictor for stress, sleep deprivation, and exhaustion among farmers and ranchers. This finding indicates that reducing MSD pain and discomfort is beneficial for both physical and mental health. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-021-12053-4. BioMed Central 2021-11-12 /pmc/articles/PMC8587493/ /pubmed/34772388 http://dx.doi.org/10.1186/s12889-021-12053-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Chengane, Sabrine
Beseler, Cheryl L.
Duysen, Ellen G.
Rautiainen, Risto H.
Occupational stress among farm and ranch operators in the midwestern United States
title Occupational stress among farm and ranch operators in the midwestern United States
title_full Occupational stress among farm and ranch operators in the midwestern United States
title_fullStr Occupational stress among farm and ranch operators in the midwestern United States
title_full_unstemmed Occupational stress among farm and ranch operators in the midwestern United States
title_short Occupational stress among farm and ranch operators in the midwestern United States
title_sort occupational stress among farm and ranch operators in the midwestern united states
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8587493/
https://www.ncbi.nlm.nih.gov/pubmed/34772388
http://dx.doi.org/10.1186/s12889-021-12053-4
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