Finnish Institute of Occupational Health, P.O. Box 18, 00032 Helsinki, Finland.
School of Social Sciences and Humanities, University of Tampere, 33014 Tampereen yliopisto, Finland.
Int J Environ Res Public Health. 2018 Jun 28;15(7):1361. doi: 10.3390/ijerph15071361.
This study aimed to investigate working hours, sleep quality and alertness, and recovery and detachment in expert work using a mobile app. The study sample comprised members of The Finnish Business School Graduates and employees of an information technology (IT) company. The final study sample included 154 employees with at least four days of mobile app data. For statistical analyses of the survey and mobile app data (cross-sectional setting), we used logistic regression, and for the day-to-day data, we used multi-level logistic regression to calculate the odds ratios (OR), and a general equation estimates model for regression coefficients with 95% confidence intervals (CI). The results showed that moderate to fair sleep quality or alertness at awakening were associated with longer working hours the following day (OR 1.07⁻1.14, 95% CI 1.01⁻1.22). Recovery and detachment during the preceding day were associated with longer working hours. These associations were the same in the opposite direction. To conclude, the day-to-day ratings of sleep quality and alertness at awakening, and recovery and detachment from work during leisure time were associated with increased working hours the following day. In addition, longer working hours the preceding day were associated with worse ratings of sleep quality, alertness, recovery, and detachment.
本研究旨在使用移动应用程序调查专家工作中的工作时间、睡眠质量和警觉性、恢复和脱离情况。研究样本包括芬兰商学院毕业生和信息技术（IT）公司的员工。最终的研究样本包括 154 名至少有四天移动应用程序数据的员工。对于调查和移动应用程序数据的统计分析（横截面设置），我们使用逻辑回归，对于日常数据，我们使用多层次逻辑回归计算优势比（OR），并使用一般方程估计模型来回归系数具有 95%置信区间（CI）。结果表明，第二天睡眠质量或警觉性中等至良好与工作时间较长有关（OR 1.07-1.14，95%CI 1.01-1.22）。前一天的恢复和脱离与工作时间较长有关。这些关联在相反的方向上是相同的。总之，在休闲时间内，对睡眠质量和警觉性以及工作恢复和脱离的日常评估与第二天的工作时间增加有关。此外，前一天的工作时间较长与睡眠质量、警觉性、恢复和脱离的评分较差有关。
