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，涉及一名白领在减少工作时间的养生方式下。该病例在提供关于发病前24周(6个月)期间工作和生活条件的全面客观数据方面不同寻常。对于S来说，推动Karo-shogai的到来是因为S能够随时随地使用笔记本电脑进行商业活动，以及作为一名双重角色员工的商业活动的性质。S的Karo-shogai符合斋藤的三个标准-多重负担，在病情出现前三个月过度工作，以及在假期缺乏生理和精神康复。节假日缺乏真正的生理和心理休息很可能是由于清醒时经历的各种情绪，以及由于担忧导致睡眠困难而缺乏慢波睡眠。S的Karo-shogai的发病过程分为三个阶段：L的电子邮件相关参数恶化；2)工作时间增加；3)睡眠时间减少。目前的情况不支持和田的假设，即紧接过劳死发作之前的工作量通常更高。总而言之，我们需要详细检查工作负载是如何应用的，以及如何延迟后果，同时认识到工作负载不一定在病情发生前立即最重的可能性。一种办法是从特定工作周内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，这是本案例研究采用的办法，并试图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.