建筑工人睡眠时间与疲劳的初步研究

IF 1.6 Q3 MANAGEMENT
X. Ferrada, Silvia Barrios, P. Masalan, Solange Campos-Romero, J. Carrillo, Yerko Molina
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引用次数: 3

摘要

摘要建筑业以事故率高著称。在造成这种情况的不同可能原因中,我们可以发现睡眠不足和疲劳。长期睡眠不足是导致警惕性和警觉性下降的决定性因素,因此也是职业事故的风险因素。疲劳是我们机体对持续的身体和精神压力的反应。遗憾的是,这些话题在建筑业一直备受关注。本研究的目的是更好地了解这些现象,如睡眠时间和疲劳,以及它们是否相互关联,并提出缓解这些现象的策略,有助于减少建筑项目中的事故。我们与智利一家建筑公司的154名男性建筑工人合作。为了评估睡眠质量,我们使用匹兹堡睡眠质量指数(PSQI)。为了评估疲劳,我们使用了个人电脑版的心理运动警觉测试(PC-PVT)来测量警觉和警惕性。这项5分钟的测试是在早上对现场的建筑工人进行的。根据自我报告的睡眠时间,将参加测试的人分为不同的组,即:7-9小时(26%)、5-7小时(61.7%)和<5小时(12.3%)。使用方差分析(ANOVA)测试对三个变量(平均反应时间(RT)、快10%和慢10%)的结果进行比较。平均RT和慢速10%存在差异,报告睡眠<5小时的组差异更大,但无统计学意义。整个工作日都需要对更多的受试者进行研究和测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sleep duration and fatigue in construction workers: A preliminary study
Abstract The construction industry is known for its high rate of accidents. Among the different possible causes of this situation, we could find lack of sleep and fatigue. Chronic sleep deprivation is a determining factor in the deterioration of vigilance and alert, and consequently a risk factor for occupational accidents. Fatigue is the answer of our organism to sustained physical and mental stress. Regretfully, those topics have been ovelooked in the construction industry. The objective of this study is to understand better these phenomena, such as sleep duration and fatigue, and whether they are interrelated, and to propose strategies to mitigate them and contribute to the reduction of accidents in construction projects. We worked with 154 male construction workers from one Chilean construction company. To assess sleep quality, we used the Pittsburgh Sleep Quality Index (PSQI). To evaluate fatigue, we used a personal computer version of the Psychomotor Vigilance Test (PC-PVT) that measures alertness and vigilance. This 5-minute test was performed on construction workers on-site in the morning. Those people who took part in the test were classified into various groups according to self-reported sleep hours, namely: 7–9 h (26%), 5–7 h (61.7%), and <5 h (12.3%). These results were compared for three variables (Mean Reaction Time (RT), 10% faster, and 10% slower) using an Analysis of Variance (ANOVA) test. Differences were found for Mean RT and Slowest 10%, the difference being greater in the group that reported sleeping <5 h, but without statistical significance. Studies with a greater number of subjects and measurements are required throughout the working day.
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来源期刊
CiteScore
3.10
自引率
0.00%
发文量
8
审稿时长
16 weeks
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