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The Effects of Rural Residents' Sleep Quality on the Incidence of Agricultural Injuries: A Meta-Analysis

To collect relevant literature on the impact of rural residents' sleep quality on the incidence of agricultural injuries, the search time range is 1990~2019. We use RevMan 5.3 software for statistical processing. A total of 7 articles were included. Meta-analysis showed that sleep quality was c...

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Detalles Bibliográficos
Autores principales: Zhai, Xiaobing, Cao, Li, Zhang, Bing, Li, Qiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9300269/
https://www.ncbi.nlm.nih.gov/pubmed/35935329
http://dx.doi.org/10.1155/2022/3832535
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author Zhai, Xiaobing
Cao, Li
Zhang, Bing
Li, Qiao
author_facet Zhai, Xiaobing
Cao, Li
Zhang, Bing
Li, Qiao
author_sort Zhai, Xiaobing
collection PubMed
description To collect relevant literature on the impact of rural residents' sleep quality on the incidence of agricultural injuries, the search time range is 1990~2019. We use RevMan 5.3 software for statistical processing. A total of 7 articles were included. Meta-analysis showed that sleep quality was closely related to agricultural injury. The combined effect was 1.49, 95%CI [1.31, 1.70], Z = 5.93, P < 0.00001. The difference was statistically significant, so poor sleepers had a higher incidence of agricultural injuries than good sleepers. Sleep disturbances and agricultural injuries are two common and significant health problems. Investigations suggest that sleep might increase the risk of agricultural injuries. The aim of the present study was to systematically review and meta-analyze the predictive effect of sleep on agricultural injuries.
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spelling pubmed-93002692022-08-04 The Effects of Rural Residents' Sleep Quality on the Incidence of Agricultural Injuries: A Meta-Analysis Zhai, Xiaobing Cao, Li Zhang, Bing Li, Qiao Contrast Media Mol Imaging Research Article To collect relevant literature on the impact of rural residents' sleep quality on the incidence of agricultural injuries, the search time range is 1990~2019. We use RevMan 5.3 software for statistical processing. A total of 7 articles were included. Meta-analysis showed that sleep quality was closely related to agricultural injury. The combined effect was 1.49, 95%CI [1.31, 1.70], Z = 5.93, P < 0.00001. The difference was statistically significant, so poor sleepers had a higher incidence of agricultural injuries than good sleepers. Sleep disturbances and agricultural injuries are two common and significant health problems. Investigations suggest that sleep might increase the risk of agricultural injuries. The aim of the present study was to systematically review and meta-analyze the predictive effect of sleep on agricultural injuries. Hindawi 2022-07-13 /pmc/articles/PMC9300269/ /pubmed/35935329 http://dx.doi.org/10.1155/2022/3832535 Text en Copyright © 2022 Xiaobing Zhai et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Zhai, Xiaobing
Cao, Li
Zhang, Bing
Li, Qiao
The Effects of Rural Residents' Sleep Quality on the Incidence of Agricultural Injuries: A Meta-Analysis
title The Effects of Rural Residents' Sleep Quality on the Incidence of Agricultural Injuries: A Meta-Analysis
title_full The Effects of Rural Residents' Sleep Quality on the Incidence of Agricultural Injuries: A Meta-Analysis
title_fullStr The Effects of Rural Residents' Sleep Quality on the Incidence of Agricultural Injuries: A Meta-Analysis
title_full_unstemmed The Effects of Rural Residents' Sleep Quality on the Incidence of Agricultural Injuries: A Meta-Analysis
title_short The Effects of Rural Residents' Sleep Quality on the Incidence of Agricultural Injuries: A Meta-Analysis
title_sort effects of rural residents' sleep quality on the incidence of agricultural injuries: a meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9300269/
https://www.ncbi.nlm.nih.gov/pubmed/35935329
http://dx.doi.org/10.1155/2022/3832535
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