Mansei-hirou no hassei, sinten, kaihuku ni okeru suimin-kakusei jhoken ni kansuru kenkyu

在本研究中，我们分析了一个karo-shogai案例，涉及一个白领工人在减少工作时间的方案。该病例在提供发病前24周（6个月）工作和生活条件的全面客观数据方面是不寻常的。促进S的karo-shogai的开始是S能够在任何地方或时间使用他的笔记本电脑进行商业活动的事实，以及作为双重角色员工的商业活动的性质。S的karo-shogai的发病符合Saito的三个标准-多重负担，发病前三个月的过度劳累，以及假期缺乏生理和精神恢复。假期中缺乏真实的生理和精神休息，可能是由于清醒时经历的各种情绪，以及由于忧虑引起的睡眠障碍而缺乏慢波睡眠。S的karo-shogai发病过程包括三个阶段：1）电子邮件相关参数恶化; 2）工作时间增加; 3）睡眠时间减少。目前的情况并不支持和田的假设，即工作量立即过劳死发病前一般较高。总之，我们需要详细研究工作量是如何应用的，以及后果是如何延迟的，同时认识到工作量不一定是最重的可能性。一种方法是从一周工作量的角度调查疲劳在正常工作日和节假日是如何增加的，本案例研究采用的方法就是这种方法，并设法将这种增加理解为时间序列的变化。

In the present study, we analyzed a karo-shogai case, involving, a white-collar worker under a regimen of reduced work hours. The case was unusual in providing comprehensive objective data on working and living conditions over the course of 24 weeks (six months) preceding the condition onset. Promoting the onset of karo-shogai for S was the fact that S was able to perform business activities with his laptop computer at any place or time and the nature of business activities as a dual-role employee. The onset of karo-shogai for S met Saito's three criteria - multiple burdens, overwork from three months before the condition onset, and lack of physiological and mental recuperation on holidays. The lack of real physiological and mental rest on holidays is likely attributable to various emotions experienced during waking and to the absence of slow-wave sleep due to trouble sleeping caused by apprehension. The process of karo-shogai onset for S consisted of three phases: l) worsening e-mail related parameters; 2) increased working hours; 3) fewer hours slept. The present case does not support Wada's hypothesis that workloads immediately preceding karoshi onset are generally higher. In conclusion, we need to examine in detail how workloads are applied and how the consequences are delayed, while recognizing the possibility that workloads are not necessarily heaviest immediately before the condition onset. One approach would be to investigate how fatigue increases on both normal workdays and holidays from the viewpoint of workloads within a given work week, the approach adopted in the present case study, and to seek to understand such increases as time series variations.