Overwork related disorders among system engineers and programmers in the in formation and communications technology industry

Kan, Chiemi; Yoshikawa, Toru; Umezaki, Shigeo; Sasaki, Takeshi; Yamauchi, Takashi; Takahashi, Masaya

doi:10.2486/josh.josh-2020-0002-ge

Cited by 3 publications

(4 citation statements)

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“…Based on the contents of the survey reports, analyses were conducted according to sex, age at onset, size of workplace, occupation, disease, general items (e.g., working conditions), occupational accident recognition factors, and number of overtime hours. The analysis involved the collection of basic data from the database in a previous five-year period (FY 2010–2014, 124 cases) and in the most recent four years (FY 2015–2018, 114 cases), and analysis of the factors contributing to the prevention of death from overwork, and focusing on changes from previous reports 14 ) . The analysis of psychosocial factors caused to mental disorders was limited to those of cases that were recognized by the “Recognition Criteria for Mental Disorders Caused by Psychological Stress” (henceforth, “Recognition Criteria”), which was established by Japan Ministry of Health, Labour and Welfare in December 2011.…”

Section: Methodsmentioning

confidence: 99%

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Characteristics of mental disorders among information technology workers in 238 compensated cases in Japan

et al. 2024

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This study aimed to investigate the circumstances, characteristics, and background factors of mental disorders within the information technology (IT) industry, which is known for the frequent occurrence of mental disorders from overwork and poor psychosocial work environment. The study analyzed 238 cases of mental disorders and suicides in the IT industry from fiscal years 2010 to 2018 on the database constructed by the Japan Research Center for Overwork-Related Disorders. The results showed a higher number of cases among men (n=178, 74.8%) and an increasing number among women.The data for diagnosis of mental diseases indicated a high number of depressive episodes (150 cases, 63.0%). Regarding work-induced psychological burden, 37 cases (15.5%) reported "extremely long working hours" for "special events" and 65 cases (27.3%) reported "constantly long working hours". For "specific events", 87 cases (36.6%) reportedly "caused (major) changes in the content and amount of work". Among women, 13 cases (21.7%) of "sexual harassment" (SH), which showed an increasing trend.

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Section: Methodsmentioning

confidence: 99%

“…The previous report by our research team has analyzed mental disorders among workers in the IT industry for the period 2010–2015 14 ) ; Kan reported that 3/4 of mental disorders were depressive episodes, and suicide was around 30% 14 ) . However, factors other than their gender and overtime are not clear.…”

Section: Introductionmentioning

confidence: 99%

Characteristics of mental disorders among information technology workers in 238 compensated cases in Japan

et al. 2024

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“…31 These long working hours due to overtime work can lead to cerebrovascular or cardiovascular diseases 32 and mental disorders. 33 Kan et al 34 analysed the characteristics of 51 cases of cerebrovascular/cardiovascular diseases and 85 cases of mental disorders due to overwork between 2010 and 2015 among workers in the information and communications industry in Japan. They reported that many cases featured long working hours and aspects such as tight deadlines and dealing with clients.…”

Section: Workplacementioning

confidence: 99%

Effects of work-related electronic communication during non-working hours after work from home and office on fatigue, psychomotor vigilance performance and actigraphic sleep: observational study on information technology workers

Ikeda,

Kubo,

Nishimura

et al. 2023

Occup Environ Med

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ObjectivesThis study examined the effects of work-related electronic communication (WREC) during non-working hours in the work from home or office setting on health.MethodsThe study recruited 98 information technology workers in a 9-day observational study. They recorded work–life events (eg, work style (working mostly from home or the office) and duration of WREC during non-working hours) and subjective ratings (eg, current fatigue, sleepiness and depression) and wore a sleep actigraph to measure objective sleep variables before bedtime every day. They completed the Brief Psychomotor Vigilance Test (PVT-B) before bedtime for 4 days.ResultsThe frequency of WREC was significantly higher when working mostly from home than in the office (p<0.01). In addition, the duration of WREC was longer when working mostly from home than in the office (p<0.001). Linear or generalised linear mixed model analysis for fatigue, depression and PVT lapse revealed significant interaction effects between work style and WREC (all p<0.05). Post hoc analysis showed that the longer the WREC, the worse the fatigue and depression and the lower the lapse on working mostly from the office (all p<0.05).ConclusionsLonger WREC is associated with worse fatigue and depression and lower lapse of PVT (higher alertness) before bedtime for working mostly from the office. Workers, especially those working from the office, should minimise WREC during non-working hours to maintain good health. Therefore, companies, managers and other relevant stakeholders should refrain from contacting workers during non-working hours.

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“…Workers in this industry are assumed to have irregular work schedules, as this industry had the second-longest overtime work hours among all industry classifications in Japan, 22 which may be due to its working characteristics of tight deadlines, customer support, and sudden changes in specification. 23 …”

Section: Introductionmentioning

confidence: 99%

The association between work interval regularity and sleep regularity: a 2-week observational study in daytime employees

Ikeda,

Kubo

2024

Journal of Occupational Health

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Objectives: Several health issues are associated with irregular sleep patterns. However, it is unclear what causes workers to sleep irregularly. The work interval (WI) between the end of one day’s working hours and the start of the next day’s working hours contains sleep opportunities, and an irregular WI may result in irregular sleep. This study investigated this association among Japanese daytime workers. Methods: This study recruited 141 daytime workers without shiftwork for a 14-day observational study. Participants reported the WI duration, WI timing, time in bed (TIB: difference between bedtime and wake-up time), and bedtime timing every day before bedtime. The standard deviation (SD) over 14 days was used to calculate the regularity scores. Logistic regression analysis was performed. The dependent variables were ≥60 min of TIB SD and bedtime timing SD, whereas the independent variables were WI duration and timing SD. Results: The odds ratio (95% confidence intervals) for ≥60 min of TIB SD across categories of WI duration SD were 1.000 (reference) for <30 min, 1.344 (0.337–5.360) for 30–60 min, and 4.743 (1.441–15.607) for ≥60 min. The odds ratio (95% confidence intervals) for ≥60 min of bedtime timing SD across categories of WI timing SD were 1.000 for <30 min, 4.154 (1.574–10.965) for 30–60 min, and 7.714 (2.124–28.015) for ≥60 min. Conclusions: Regularity of WI was associated with regularity of sleep. To ensure worker health, workers should have regular WI, and if they are exposed to irregular WI, they should make every effort to maintain regular sleep.

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Overwork related disorders among system engineers and programmers in the in formation and communications technology industry

Cited by 3 publications

References 5 publications

Characteristics of mental disorders among information technology workers in 238 compensated cases in Japan

Characteristics of mental disorders among information technology workers in 238 compensated cases in Japan

Effects of work-related electronic communication during non-working hours after work from home and office on fatigue, psychomotor vigilance performance and actigraphic sleep: observational study on information technology workers

The association between work interval regularity and sleep regularity: a 2-week observational study in daytime employees

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