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ORIGINAL RESEARCH article

Front. Psychol., 14 March 2023
Sec. Organizational Psychology
This article is part of the Research Topic Insight Into Long Working Hours: Perspective From the Construction of Intelligent Society View all 5 articles

Changes in work/sleep patterns due to the COVID-19 pandemic are associated with psychological distress among Japanese workers

Tsukumi Tondokoro,Tsukumi Tondokoro1,2Akinori Nakata,Akinori Nakata2,3Seiichiro TateishiSeiichiro Tateishi4Kosuke MafuneKosuke Mafune5Mayumi TsujiMayumi Tsuji6Hajime AndoHajime Ando7Kiminori OdagamiKiminori Odagami8Ryutaro MatsugakiRyutaro Matsugaki9Yoshihisa Fujino
 for the CORoNaWork projectYoshihisa Fujino2* for the CORoNaWork project
  • 1The Health Care Science Institute, Tokyo, Japan
  • 2Department of Environmental Epidemiology, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan
  • 3Graduate School of Public Health, International University of Health and Welfare, Tokyo, Japan
  • 4Disaster Occupational Health Center, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan
  • 5Department of Mental Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan
  • 6Department of Environmental Health, School of Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan
  • 7Department of Work Systems and Health, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan
  • 8Department of Occupational Health Practice and Management, Institute of Industrial Ecological Sciences, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan
  • 9Department of Preventive Medicine and Community Health, School of Medicine, University of Occupational and Environmental Health, Japan, Kitakyushu, Japan

Objectives: The coronavirus disease 2019 (COVID-19) pandemic has significantly impacted working life quality. This study investigated whether changes in work/sleep patterns due to the pandemic are related to poor psychological status among Japanese workers during the third wave of the COVID-19 pandemic (December 2020). We hypothesized that workers who experienced drastic changes in working hours and sleep duration would be at an increased risk of psychological distress.

Methods: A cross-sectional self-administered Internet survey was conducted that included questions regarding socio-demographics, lifestyle, health, and occupational background and conditions. Multivariable logistic regression models were utilized to examine the association between psychological distress and a combination of changes in working hours and sleep duration.

Results: Among 25,762 workers, decreased work hours and decreased sleep duration presented 2.59 times higher odds of psychological distress (95% confidence interval [CI] = 2.05–3.28) compared to those who had no changes in work hours combined with unchanged sleep duration (reference group). Increased work hours and decreased sleep duration were associated with 1.98 times higher odds of psychological distress (95% CI = 1.64–2.39).

Conclusion: Our observations confirmed that decreased sleep duration could be a key factor for psychological distress, irrespective of working hours. Interestingly, workers with a combination of decreased work hours and sleep duration posed the highest risk of psychological distress. Decreased work hours accompanied by financial difficulties in the early stage of the pandemic may have caused decreased sleep duration, resulting in a high prevalence of psychological distress. Our study underlined the importance of sleep management in maintaining workers’ mental health, moreover, the need to consider situations and conditions of other daily tasks, such as work hours, for better sleep management.

1. Introduction

The prolonged novel coronavirus disease 2019 (COVID-19) pandemic has drastically changed our daily lives. While it has brought about some positive changes, such as less commuting and more time spent with family, it has negatively impacted mental health (Bueno-Notivol et al., 2021; Cénat et al., 2021; COVID-19 Mental Disorders Collaborators, 2021; Nochaiwong et al., 2021; OECD, 2021; Tanaka and Okamoto, 2021). Globally, due to the COVID-19 pandemic, the prevalence of mental health issues, including psychological distress, was higher than prior to the pandemic (Cénat et al., 2021; Nochaiwong et al., 2021). The estimated pooled prevalence of psychological distress among the general population was up to 50.0% in the first year of the pandemic (Cénat et al., 2021; Nochaiwong et al., 2021). Due to such psychological distress, total suicide rates have increased in Japan by 16% between July and October 2020 (Tanaka and Okamoto, 2021).

During the first year of the pandemic, many workers experienced changes in working conditions, such as forced teleworking, changes in job demands, and income reduction (financial difficulties). Moreover, workers experienced changes in their time use, especially the time used for working and sleeping.

In terms of work hours, experience of changes in work hours varies by workers. Some workers, such as health care and research laboratory workers, experienced increases in work hours during the first year of pandemic (Ischia et al., 2022; Loibner et al., 2022). According to the white paper from the Ministry of Health, Labour and Welfare, Japan (2021), workers in the information and communication industry also experienced an increase in work hours in December 2020 compared to December 2019.

In contrast, other industries, such as aviation, had a dramatic drop in demand (OECD, 2020), and the workers experienced decreases in working hours. Remote work also changed working hours; a reduction of work hours by 26 min was observed during remote work (Hallman et al., 2021), while a private survey in Japan reported that more than half of remote workers experienced longer working hours than working in the office (Japanese Trade Union Confederation, 2020). Another study also concluded that the time spent at the workstation increased by 1.5 h during a typical day for remote workers (Awada et al., 2021).

Regarding changes in sleep duration, the total sleep time increased by 1.5 h in duration at the end of the quarantine/stay-at-home condition compared to the pre-pandemic period in many countries (AMHSI Research Team et al., 2020; Raman and Coogan, 2022). Several studies on the pandemic have also indicated that remote work was associated with longer sleep duration (Hallman et al., 2021; Raman and Coogan, 2022); 34 min longer sleep duration for workdays (Hallman et al., 2021).

The Whitehall II prospective cohort study concluded that long working hours were significantly associated with shortened sleep (Virtanen et al., 2009). Furthermore, working more than 55 h per week (vs. normal work hours of 35–40 h) was related to an adjusted odds ratio (OR) of 2.25 (95% confidence interval (CI) 1.62–3.12) for short sleep of <7 h. In the same study, repeated exposure to long working hours was also associated with shortened sleep duration (OR = 2.80, 95% CI 1.20–6.53) (Virtanen et al., 2009). Given that work hours are inversely related to sleep duration, a study investigated the combined effects of working hours and sleep duration on mental health (Nakata, 2011); employees who worked more than 10 h per day with short sleep duration (<6 h/day) were at the highest risk for experiencing depressive symptoms (OR = 2.69, 95% CI 1.67–4.33) compared to those with 6–8 h of work hours and more than 6 h of sleep per day.

However, the above findings are from a pre-pandemic situation; drastic changes in our work and life conditions, including work/sleep patterns, may have been caused by COVID-19, leading to poor mental health. These past studies considered ordinal work hours and sleep duration, but not societal changes posed by the COVID-19 pandemic.

Therefore, we sought to explore how changes in work/sleep patterns due to the pandemic have impacted workers’ psychological status. This study aimed to investigate the combined association of work hours and sleep duration on psychological distress among Japanese workers during the third wave of the COVID-19 pandemic in Japan. We hypothesized that workers with increased work hours and decreased sleep duration due to the pandemic would have an increased risk of psychological distress.

2. Materials and methods

2.1. Study design and population

This Internet-based survey targeted Japanese workers, including sectional employees, managers, and executive managers as well as temporary/contract employees, self-employed, small office/home office workers, but excluding part-time workers, homemakers, students, and the unemployed. We distributed a nationwide health survey to workers registered in the research company’s panel from December 20 to 26, 2020, during the third wave of the COVID-19 pandemic in Japan (the detailed procedure is presented in our protocol paper; Fujino et al., 2021). After excluding invalid responses containing inconsistent answers, short response time (≤360 s), extremely low body weight (<30 kg), short height (<140 cm) (n = 6,051), and those who were already diagnosed with depression (n = 1,274), a total of 25,762 respondents were submitted for the final analysis.

2.2. Exposure measures

Participants were asked whether they had experienced changes in work hours and sleep duration due to the COVID-19 pandemic with the answering choice of increased, unchanged, or decreased. To investigate the combined association, we categorized work hours and sleep duration into nine work/sleep patterns: (i) increased work hours and increased sleep duration, (ii) increased work hours and unchanged sleep duration, (iii) increased work hours and decreased sleep duration, (iv) unchanged working hours and increased sleep duration, (v) unchanged working hours and unchanged sleep duration (reference group), (vi) unchanged work hours and decreased sleep duration, (vii) decreased work hours and increased sleep duration, (viii) decreased work hours and unchanged sleep duration, and (ix) decreased work hours and decreased sleep duration.

2.3. Outcome measure: Psychological distress

Psychological distress was assessed using the Japanese version of the Kessler 6 (K6) (Kessler et al., 2002), which is a short screening scale for psychological distress (Furukawa et al., 2008). K6 includes six questions regarding psychological states during the past 30 days, with five answering choices (0 = none of the time to 4 = all the time) (Furukawa et al., 2008). The scores for the six questions were then summed, and the cutoff score for mild psychological distress was set at 5 or higher, as it was suggested to be the optimal cutoff score for the Japanese population (Kessler et al., 2002; Furukawa et al., 2008; Sakurai et al., 2011).

2.4. Control variables

Control variables included socio-demographics (sex, age groups, marital status, educational level, living with a child or children under 12 years old [yes/no], residential area where the state of emergency was declared [yes/no], and subjective financial situation [very difficult/slightly difficult/average/comfortable/very comfortable]), lifestyle (smoking, drinking frequency, exercise frequency, time for house chores during the pandemic [increased/unchanged/decreased], and time spent with family during the pandemic [increased/unchanged/decreased]), health (body mass index, diseases currently being treated [yes/no]), and occupational background and conditions (type of industry, number of employees, one-way commuting time, teleworking preference, telework frequency, changes in job stress due to the COVID-19 pandemic [increased/unchanged/decreased], job control, and social support at work). Job control and social support at work were assessed using the job content questionnaire (Karasek et al., 1998) and divided into low/high groups by the median score of each: job control (64.0) and social support (22.0).

2.5. Statistical analysis

Multivariable logistic regression models were utilized to investigate the association between psychological distress and combined changes in work hours and sleep duration. We first adjusted for sex and age groups (Model 1). In the next model (Model 2), we adjusted for marital status, educational level, living with a child or children under 12 years old, residential area where the state of emergency was declared, smoking, drinking frequency, exercise frequency, time for house chores, time with family, body mass index, and diseases currently being treated, in addition to Model 1. In Model 3, we additionally adjusted for occupational background and conditions, such as type of industry, number of employees, one-way commuting time, teleworking preference, telework frequency, job control, social support, and job stress during the pandemic. Finally, in Model 4, we further adjusted for the financial situation because work hours, sleep duration, and psychological states were more likely related to the financial situation during the pandemic among workers.

In addition to the above analyses, we recorded the financial situation into two groups (difficult/not difficult) and performed a multivariate logistic regression analysis to investigate the impact of psychological distress on changes in work hours and sleep duration, in tandem with the financial situation, resulting in the creation of 18 groups.

All analyses were performed using SPSS Version 25.0 (IBM Corp., Armonk, NY, United States). The level of significance was set at p < 0.05.

3. Results

Table 1 presents the characteristics of the study participants according to their psychological state. In this study, 9,827 participants (38.1%) had mild psychological distress. A higher proportion of younger (age 20–39 years) and unmarried participants fell into the groups with psychological distress in comparison to the group without psychological distress. Nearly half of the participants with psychological distress experienced difficulty or slight difficulty in relation to their financial situation, while nearly 30% in those without psychological distress. In the group with psychological distress, 46.3% of participants experienced increased job stress and 60.0% of them experienced low social support at work. The other characteristics were similar in both groups.

TABLE 1
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Table 1. Characteristics of the study participants by psychological states (n = 25,762).

Table 2 highlights the characteristics of the study participants by nine groups of changes in work/sleep patterns due to the pandemic. In the group with decreased working hours and decreased sleep duration, more than 30% of participants had experienced extreme difficulty in relation to their financial situation. In the group with increased working hours and decreased sleep duration, 81.6% experienced increases in job stress due to the pandemic.

TABLE 2
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Table 2. Characteristics of the study participants by changes in work/sleep patterns.

Independent associations between psychological distress and work hours and sleep duration, respectively, as estimated by stepwise logistic regression models, are denoted in Table 3. In Model 4, participants with increased working hours had significantly higher odds of experiencing psychological distress (odds ratio [OR] = 1.15, 95% confidence interval [CI] = 1.03–1.28) compared to those with unchanged work hours, while decreased work hours showed an insignificant association. Regarding sleep duration, those who experienced decreased sleep duration showed OR of 1.97 (95% CI = 1.79–2.18) compared to unchanged sleep duration.

TABLE 3
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Table 3. Independent association between psychological distress and changes in work hours and sleep duration, respectively.

Table 4 presents associations between psychological distress and changes in work/sleep combined patterns by stepwise logistic regression models. Notably, participants had more risk of experiencing psychological distress when sleep duration decreased. Those who reported decreases in work and sleep duration presented the highest odds of experiencing psychological distress (OR = 2.59, 95% CI = 2.05–3.28) among all other groups. This group had a drop of OR from 2.93 in Model 3 to 2.59 in Model 4, which was additionally adjusted for the financial situation. Those who experienced increased work hours and decreased sleep duration had higher odds of experiencing psychological distress (OR = 1.98, 95% CI = 1.64–2.39) compared to those who reported no changes in work hours and sleep duration (reference group).

TABLE 4
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Table 4. Association between psychological distress and changes in work/sleep patterns.

Additionally, our supplementary analysis (Supplementary Table S1) indicated that those who experienced decreased work hours and decreased sleep duration coupled with financial difficulties had an OR of 5.88 (95% CI = 4.29–8.06) compared to those who experienced unchanged work hours and unchanged sleep duration coupled with no financial difficulties (reference group), which was the highest among all other groups.

4. Discussion

This study investigated the association between changes in work/sleep patterns and psychological distress among Japanese workers during the COVID-19 pandemic. To our knowledge, this is the first study that specifically examined the combined effect of changes in work hours and sleep duration from pre-pandemic to in-pandemic periods on psychological distress. This study primarily questioned whether changes in work hours and sleep duration would pose a higher risk of psychological distress compared to when the work hours and sleep duration remained unchanged. We found an increased risk of psychological distress among those who had decreased sleep duration, irrespective of changes in work hours. Notably, workers with decreased work hours and decreased sleep duration had the highest odds of psychological distress (OR = 2.59, 95% CI = 2.05–3.28), followed by workers with increased work hours and decreased sleep duration (OR = 1.98, 95% CI = 1.64–2.39). This finding outlines that reduced sleep duration is a major factor related to increased psychological distress.

Moreover, we found that the risk of psychological distress was the highest among those with a combination of decreased work hours and sleep duration in the early stages of the pandemic, which was contrary to our expectations. A possible key factor that led to this result was financial impact of the pandemic on this decreased work hours and decreased sleep duration group. We found that more than 30% of participants in this group reported experiencing extreme difficulty in relation to their financial situation (Table 2). This group also experienced a drop of OR from 2.93 to 2.59 when adjusted for the financial situation in the final model in Table 4. Additionally, in our sub-analysis, we found a higher risk of psychological distress (OR = 5.88, 95% CI = 4.29–8.06) among those with decreased work hours and decreased sleep duration coupled with financial difficulties compared to unchanged work hours and unchanged sleep duration coupled with no financial difficulties (Supplementary Table S1). Previous studies have also supported our hypothesis; people experiencing financial difficulties had higher rates of psychological distress during the COVID-19 crisis (Griffiths et al., 2021; Nagasu et al., 2021; OECD, 2021; Ettman et al., 2022; Sekścińska et al., 2022).

The increased risk of psychological distress, with increased work hours and decreased sleep duration, was in line with a past cross-sectional study in an ordinal pre-pandemic work situation (Nakata, 2011), which presented longer work hours of 10+ h per day with short sleep duration (<6 h/day) to have 2.69 times higher odds of having depressive symptoms compared to normal working hours (6–8 h/day with more than 6 h/day of sleep).

In the early stages of the pandemic, many workers experienced unstable working conditions, such as decreased quantitative job demands, decreased work hours, and reduced income. Despite this situation, the provision of job-related services and support (e.g., in-person job consultations and career seminars) was limited to reduced human contact, resulting in workers having poorer access to job-related services and support. According to statistics from the Ministry of Health, Labour and Welfare, Japan, the number of new job applications in public employment service centers in Japan dropped by approximately 10,000 from 2019 to 2020 (Ministry of Health Labour and Welfare, Japan, 2022). Such unstable working conditions and the limited provision of job-related services and support during the pandemic are more likely to lead to financial difficulties for several workers.

A previous occupational cohort study revealed strong associations between financial difficulties and sleep problems such as shortened sleep duration (Lallukka et al., 2012). In addition to financial difficulties and decreased sleep duration, uncertainty over the prolonged pandemic may have increased psychological distress among workers. Moreover, fewer socializing opportunities, limited access to mental health services and support, and fewer opportunities to seek help during the pandemic (Campion et al., 2020; Moreno et al., 2020) might have heightened the risk of psychological distress.

The strengths of this study are as follows. First, we assessed changes in work/sleep patterns among Japanese workers from pre-pandemic to in-pandemic periods, unlike previous studies that cross-sectionally assessed work/sleep patterns on typical workdays. Second, we employed self-reports to evaluate sudden changes in work/sleep patterns due to the pandemic. Most previous studies objectively assessed changes in working hours and sleep duration by the number of hours. However, evaluating the sudden changes caused by COVID-19 with numbers by self-report would lead to potential biases, that is, a recall bias in the number of hours before the pandemic. Additionally, sufficient working hours and sleep duration vary among individuals. Third, we included both changes in work hours and sleep duration due to the COVID-19 pandemic to examine the acute impact on psychological distress. Combining changes in work hours and sleep duration would reflect the time use of workers because they spend a large amount of time working and sleeping during the day.

However, this study had several limitations. First, although many workers experienced increased sleep duration in the early stages of the pandemic, our study focused on workers with decreased sleep duration. Second, this study utilizes an online closed survey, meaning that participants were recruited from the survey company’s panel, which may have led to selection bias. Third, we were unable to confirm the participants’ pre-pandemic psychological state. They may have already developed psychological distress prior to the pandemic. Fourth, we were unable to identify whether participants experienced decreased sleep duration because of the stressful situation from the pandemic, or whether they simply could not set aside time for sleep because they had other tasks to do. Finally, there might be other co-factors, such as napping, side jobs, and time-use on free days, which may have impacted psychological distress among Japanese workers.

5. Conclusion

This study confirmed that decreased sleep duration could be a key factor in psychological distress, irrespective of working hours. Moreover, contrary to our expectations, workers with a combination of decreased work hours and sleep duration posed the highest risk of psychological distress. Decreased work hours accompanied by financial difficulties in the early stage of the pandemic may have caused decreased sleep duration, resulting in a high prevalence of psychological distress. Our study underlined the importance of sleep management in maintaining workers’ mental health as well as the need to consider situations and conditions of other daily tasks, such as work hours, for better sleep management.

Data availability statement

The datasets presented in this article are not readily available because it is not open to the public. Requests to access the datasets should be directed to YF, zenq@med.uoeh-u.ac.jp.

Ethics statement

The studies involving human participants were reviewed and approved by the Ethics Committee of the University of Occupational and Environmental Health, Japan and the Ethics Committee of the International University of Health and Welfare. The patients/participants provided their written informed consent to participate in this study.

Author contributions

TT contributed to data analysis and writing. YF, ST, KM, MT, HA, KO, and RM contributed to the research design and data collection and provided useful suggestions during the analysis. AN supervised the analysis and drafting of the manuscript and reviewed the manuscript for intellectual content. All authors have contributed to the manuscript and approved the submitted version.

Funding

This study was supported and partly funded by a research grant from the University of Occupational and Environmental Health, Japan; the Japanese Ministry of Health, Labour and Welfare (H30-josei-ippan-002, H30-roudou-ippan-007, 19JA1004, 20JA1006, 210301-1, 19H01763, and 20HB1004); Anshin Zaidan; the Collabo-Health Study Group; Hitachi Systems, Ltd.; scholarship donations from Chugai Pharmaceutical Co., Ltd.; and The Health Care Science Institute. The funder was not involved in the study design, collection, analysis, data interpretation, writing of this article, or the decision to submit it for publication.

Acknowledgments

We thank the participants for their time and effort in participating in this study. We also thank our colleagues in AN’s laboratory and members of the CORoNaWork Project for their valuable discussions and comments. The current members of the CORoNaWork Project, in alphabetical order, are as follows: Hajime Ando, Hisashi Eguchi, Yoshihisa Fujino (present chairperson of the study group), Ayako Hino, Yu Igarashi, Tomohiro Ishimaru, Mami Kuwamura, Kosuke Mafune, Shinya Matsuda, Ryutaro Matsugaki, Keiji Muramatsu, Koji Mori, Tomohisa Nagata, Akira Ogami, Makoto Okawara, Seiichiro Tateishi, and Mayumi Tsuji. All members are affiliated with the University of Occupational and Environmental Health, Japan. We thank Editage (www.editage.com) for English language editing.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1133498/full#supplementary-material

References

AMHSI Research Team, Milken Research Team, Roitblat, Y., Burger, J., Leit, A., Nehuliaieva, L., et al. (2020). Stay-at-home circumstances do not produce sleep disorders: an international survey during the COVID-19 pandemic. J. Psychosom. Res. 139:110282. doi: 10.1016/j.jpsychores.2020.110282

PubMed Abstract | CrossRef Full Text | Google Scholar

Awada, M., Lucas, G., Becerik-Gerber, B., and Roll, S. (2021). Working from home during the COVID-19 pandemic: impact on office worker productivity and work experience. Work 69, 1171–1189. doi: 10.3233/WOR-210301

PubMed Abstract | CrossRef Full Text | Google Scholar

Bueno-Notivol, J., Gracia-García, P., Olaya, B., Lasheras, I., López-Antón, R., and Santabárbara, J. (2021). Prevalence of depression during the COVID-19 outbreak: a meta-analysis of community-based studies. Int. J. Clin. Health Psychol. 21:100196. doi: 10.1016/j.ijchp.2020.07.007

PubMed Abstract | CrossRef Full Text | Google Scholar

Campion, J., Javed, A., Sartorius, N., and Marmot, M. (2020). Addressing the public mental health challenge of COVID-19. Lancet Psychiatry 7, 657–659. doi: 10.1016/S2215-0366(20)30240-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Cénat, J. M., Blais-Rochette, C., Kokou-Kpolou, C. K., Noorishad, P. G., Mukunzi, J. N., McIntee, S. E., et al. (2021). Prevalence of symptoms of depression, anxiety, insomnia, posttraumatic stress disorder, and psychological distress among populations affected by the COVID-19 pandemic: a systematic review and meta-analysis. Psychiatry Res. 295:113599. doi: 10.1016/j.psychres.2020.113599

PubMed Abstract | CrossRef Full Text | Google Scholar

COVID-19 Mental Disorders Collaborators (2021). Global prevalence and burden of depressive and anxiety disorders in 204 countries and territories in 2020 due to the COVID-19 pandemic. Lancet 398, 1700–1712. doi: 10.1016/S0140-6736(21)02143-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Ettman, C. K., Cohen, G. H., Abdalla, S. M., Sampson, L., Trinquart, L., Castrucci, B. C., et al. (2022). Persistent depressive symptoms during COVID-19: a national, population-representative, longitudinal study of U.S. adults. Lancet Reg. Health Am. 5:100091. doi: 10.1016/j.lana.2021.100091

PubMed Abstract | CrossRef Full Text | Google Scholar

Fujino, Y., Ishimaru, T., Eguchi, H., Tsuji, M., Tateishi, S., Ogami, A., et al. (2021). Protocol for a nationwide internet-based health survey of workers during the COVID-19 pandemic in 2020. J. UOEH 43, 217–225. doi: 10.7888/juoeh.43.217

PubMed Abstract | CrossRef Full Text | Google Scholar

Furukawa, T. A., Kawakami, N., Saitoh, M., Ono, Y., Nakane, Y., Nakamura, Y., et al. (2008). The performance of the Japanese version of the K6 and K10 in the world mental health survey Japan. Int. J. Methods Psychiatr. Res. 17, 152–158. doi: 10.1002/mpr.257

PubMed Abstract | CrossRef Full Text | Google Scholar

Griffiths, D., Sheehan, L., van Vreden, C., Petrie, D., Grant, G., Whiteford, P., et al. (2021). The impact of work loss on mental and physical health during the COVID-19 pandemic: baseline findings from a prospective cohort study. J. Occup. Rehabil. 31, 455–462. doi: 10.1007/s10926-021-09958-7

PubMed Abstract | CrossRef Full Text | Google Scholar

Hallman, D. M., Januario, L. B., Mathiassen, S. E., Heiden, M., Svensson, S., and Bergström, G. (2021). Working from home during the COVID-19 outbreak in Sweden: effects on 24-h time-use in office workers. BMC Public Health 21:528. doi: 10.1186/s12889-021-10582-6

PubMed Abstract | CrossRef Full Text | Google Scholar

Ischia, L., Naganathan, V., Waite, L. M., Le Couteur, D. G., and Thillainadesan, J. (2022). COVID-19 and geriatric medicine in Australia and New Zealand. Australas. J. Ageing 41, 301–308. doi: 10.1111/ajag.13027

PubMed Abstract | CrossRef Full Text | Google Scholar

Japanese Trade Union Confederation. (2020). Study regarding telework. 2020. (Telewa-ku ni Kansuru Chosa. 2020, Tokyo: Japanese trade union confederation). Available at: https://www.jtuc-rengo.or.jp/info/chousa/data/20200630.pdf (Accessed December 22, 2022).

Google Scholar

Karasek, R., Brisson, C., Kawakami, N., Houtman, I., Bongers, P., and Amick, B. (1998). The job content questionnaire (JCQ): an instrument for internationally comparative assessments of psychosocial job characteristics. J. Occup. Health Psychol. 3, 322–355. doi: 10.1037/1076-8998.3.4.322

PubMed Abstract | CrossRef Full Text | Google Scholar

Kessler, R. C., Andrews, G., Colpe, L. J., Hiripi, E., Mroczek, D. K., Normand, S. L., et al. (2002). Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychol. Med. 32, 959–976. doi: 10.1017/s0033291702006074

PubMed Abstract | CrossRef Full Text | Google Scholar

Lallukka, T., Ferrie, J. E., Kivimäki, M., Shipley, M. J., Rahkonen, O., and Lahelma, E. (2012). Economic difficulties and subsequent sleep problems: evidence from British and Finnish occupational cohorts. Sleep Med. 13, 680–685. doi: 10.1016/j.sleep.2011.10.036

PubMed Abstract | CrossRef Full Text | Google Scholar

Loibner, M., Barach, P., Wolfgruber, S., Langner, C., Stangl, V., Rieger, J., et al. (2022). Resilience and protection of health care and research laboratory workers during the SARS-CoV-2 pandemic: analysis and case study from an Austrian high security laboratory. Front. Psychol. 13:901244. doi: 10.3389/fpsyg.2022.901244

PubMed Abstract | CrossRef Full Text | Google Scholar

Ministry of Health, Labour and Welfare, Japan. (2021). Labor economics analysis - impact of the COVID-19 on employment and labor, 2021; Chapter 5: The Impact of the COVID-19 pandemic on Employment and Labor (Reiwa 3 nenban Roudoukeizai no bunseki -Shingatakoronauirusu ga koyou/roudou ni oyobosita eikyou-, Dai 5 syou Shingatakoronauirusukansensyou no kansenkakudai ga koyou/roudou ni oyobosita eikyo). Available at: https://www.mhlw.go.jp/wp/hakusyo/roudou/20/dl/20-1-1-5_02.pdf (Accessed January 19, 2023] (in Japanese).

Google Scholar

Ministry of Health Labour and Welfare, Japan. (2022). Business statistics, the number of applications for new jobs (Table 5): A portal site of official statistics of Japan. Available at: https://www.e-stat.go.jp/stat-search/files?page=1&layout=datalist&toukei=00450222&tstat=000001020327&cycle=1&tclass1=000001169006&tclass2val=0 (Accessed December 22, 2022) (in Japanese).

Google Scholar

Moreno, C., Wykes, T., Galderisi, S., Nordentoft, M., Crossley, N., Jones, N., et al. (2020). How mental health care should change as a consequence of the COVID-19 pandemic. Lancet Psychiatry 7, 813–824. doi: 10.1016/S2215-0366(20)30307-2

PubMed Abstract | CrossRef Full Text | Google Scholar

Nagasu, M., Muto, K., and Yamamoto, I. (2021). Impacts of anxiety and socioeconomic factors on mental health in the early phases of the COVID-19 pandemic in the general population in Japan: a web-based survey. PLoS One 16:e0247705. doi: 10.1371/journal.pone.0247705

PubMed Abstract | CrossRef Full Text | Google Scholar

Nakata, A. (2011). Work hours, sleep sufficiency, and prevalence of depression among full-time employees: a community-based cross-sectional study. J. Clin. Psychiatry 72, 605–614. doi: 10.4088/JCP.10m06397gry

PubMed Abstract | CrossRef Full Text | Google Scholar

Nochaiwong, S., Ruengorn, C., Thavorn, K., Hutton, B., Awiphan, R., Phosuya, C., et al. (2021). Global prevalence of mental health issues among the general population during the coronavirus disease-2019 pandemic: a systematic review and meta-analysis. Sci. Rep. 11:10173. doi: 10.1038/s41598-021-89700-8

PubMed Abstract | CrossRef Full Text | Google Scholar

OECD (2020). COVID-19 and the aviation industry: Impact and policy responses. Available at: https://www.oecd.org/coronavirus/policy-responses/covid-19-and-the-aviation-industry-impact-and-policy-responses-26d521c1/ (Accessed December 22, 2022).

Google Scholar

OECD (2021). Tackling the mental health impact of the COVID-19 crisis: An integrated, whole-of-society response. Available at: https://www.oecd.org/coronavirus/policy-responses/tackling-the-mental-health-impact-of-the-covid-19-crisis-an-integrated-whole-of-society-response-0ccafa0b/ (Accessed December 12, 2022).

Google Scholar

Raman, S., and Coogan, A. N. (2022). Effects of societal-level COVID-19 mitigation measures on the timing and quality of sleep in Ireland. Sleep Med. 91, 179–184. doi: 10.1016/j.sleep.2021.02.024

PubMed Abstract | CrossRef Full Text | Google Scholar

Sakurai, K., Nishi, A., Kondo, K., Yanagida, K., and Kawakami, N. (2011). Screening performance of K6/K10 and other screening instruments for mood and anxiety disorders in Japan. Psychiatry Clin. Neurosci. 65, 434–441. doi: 10.1111/j.1440-1819.2011.02236.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Sekścińska, K., Trzcińska, A., Pankowski, D., Pisula, E., and Wytrychiewicz-Pankowska, K. (2022). Financial factors and psychological distress during the COVID-19 pandemic in Poland. Int. J. Environ. Res. Public Health 19:1798. doi: 10.3390/ijerph19031798

PubMed Abstract | CrossRef Full Text | Google Scholar

Tanaka, T., and Okamoto, S. (2021). Increase in suicide following an initial decline during the COVID-19 pandemic in Japan. Nat. Hum. Behav. 5, 229–238. doi: 10.1038/s41562-020-01042-z

PubMed Abstract | CrossRef Full Text | Google Scholar

Virtanen, M., Ferrie, J. E., Gimeno, D., Vahtera, J., Elovainio, M., Singh-Manoux, A., et al. (2009). Long working hours and sleep disturbances: the Whitehall II prospective cohort study. Sleep 32, 737–745. doi: 10.1093/sleep/32.6.737

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: employees, financial difficulties, mental health, online survey, self-report, sleep duration, time-use, work hours

Citation: Tondokoro T, Nakata A, Tateishi S, Mafune K, Tsuji M, Ando H, Odagami K, Matsugaki R, Fujino Y (2023) Changes in work/sleep patterns due to the COVID-19 pandemic are associated with psychological distress among Japanese workers. Front. Psychol. 14:1133498. doi: 10.3389/fpsyg.2023.1133498

Received: 29 December 2022; Accepted: 20 February 2023;
Published: 14 March 2023.

Edited by:

Bei Liu, China University of Mining and Technology, China

Reviewed by:

Sara Marelli, San Raffaele Hospital (IRCCS), Italy
Aleksandra Gaworska-Krzeminska, Medical University of Gdansk, Poland

Copyright © 2023 Tondokoro, Nakata, Tateishi, Mafune, Tsuji, Ando, Odagami, Matsugaki and Fujino. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Yoshihisa Fujino, zenq@med.uoeh-u.ac.jp

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