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Original Article
Combined effect of work from home and work during nonwork time on sleep disturbance
Jiyoung Lim, Hyundong Lee, Jae Bum Park, Kyung-Jong Lee, Inchul Jeong, Jaehyuk Jung
Ann Occup Environ Med 2023;35:e28.   Published online July 31, 2023
DOI: https://doi.org/10.35371/aoem.2023.35.e28
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Background

Owing to the coronavirus disease 2019 pandemic, being exposed to work from home and work during nonwork time simultaneously can lead to sleep disturbance; however, their combined effect is unclear. We aimed to investigate the combined effect of work from home and work during nonwork time on sleep disturbance.

Methods

This study used data from the Sixth Korean Working Condition Survey and included 27,473 paid workers. Logistic regression analysis was conducted to investigate the relationship between work from home, work during nonwork time, and sleep disturbance according to sex. We re-classified participants into 4 groups based on their working from home (No/Yes) and working during nonwork time (No/Yes). The relative excess risk due to interaction was calculated to examine the effect of exposure to both telecommuting and non-regular work hours on sleep disturbance.

Results

Workers exposed to work from home and work during nonwork time had significantly higher risks of sleep disturbance for all, men, and women workers (OR [95% CI]: 1.71 [1.46–2.02], 1.79 [1.43–2.23], and 1.64 [1.29–2.08] for work from home and 3.04 [2.70–3.42], 3.61 [3.09–4.22], and 2.41 [2.01–2.90] for work during nonwork time, respectively). Compared to those who were not exposed to both factors, when workers had both job factors, the ORs (95% CI) of sleep disturbance for all, men, and women were 3.93 (2.80–5.53), 5.08 (3.21–8.03), and 2.91 (1.74–4.87), respectively. The relative excess risk due to interaction of work from home and work during nonwork time was not significant for sleep disturbance.

Conclusions

Work from home and work during nonwork time were each associated with sleep disturbance, but the interaction between the two factors on sleep disturbance was not observed in both men and women.


Citations

Citations to this article as recorded by  
  • Association between work from home and health-related productivity loss among Korean employees
    Hyo Jeong Kim, Dong Wook Lee, Jaesung Choi, Yun-Chul Hong, Mo-Yeol Kang
    Annals of Occupational and Environmental Medicine.2024;[Epub]     CrossRef
  • 298 View
  • 2 Download
  • 2 Web of Science
  • 1 Crossref
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Research Article
Effects of changes in occupational stress on the depressive symptoms of Korean workers in a large company: a longitudinal survey
Jaehyuk Jung, Inchul Jeong, Kyung-Jong Lee, Guyeon Won, Jae Bum Park
Ann Occup Environ Med 2018;30:39.   Published online June 8, 2018
DOI: https://doi.org/10.1186/s40557-018-0249-5
AbstractAbstract PDFPubReaderePub
Background

Prospective studies on occupational stress and depression among Korean workers are scarce. This study aimed to investigate the causal relationship between changes in occupational stress and the presence of depression.

Methods

This study analyzed data from a survey conducted with workers in a large Korean company (2015–2016). Occupational stress was measured using the Korean Occupational Stress Scale, and depression was screened using the WHO-5 Well-being Index. The levels of occupational stress were grouped in quartiles based on subjects’ occupational stress scores in 2015, and changes in occupational stress were measured using the score changes between the 2015 and 2016 surveys. Subjects were divided into four groups according to the presence or absence of depression in 2015 and 2016: a non-depressed group whose mental health did not change, a non-depressed group whose mental health deteriorated, a depressed group that continued to be depressed, and a depressed group whose symptoms of depression were alleviated. Logistic regression analysis was used to calculate the odds ratios (ORs) and confidence intervals (CIs) of the subjects’ deterioration in mood or alleviation of depression by occupational stress levels and changes.

Results

The OR for developing depressive symptoms was 2.51 (95% CI 1.46–4.33) and 2.73 (95% CI 1.39–5.36) in the third and the fourth quartiles of occupational stress, respectively, compared to the first quartile. When the occupational stress score increased by 1 point, the OR for increasing depressive symptoms was 1.07 (95% CI 1.04–1.10). There was no significant difference in the alleviation of depressive symptoms between the groups by level of occupational stress. However, when the occupational stress score decreased by 1 point, the OR for alleviating depressive symptoms was 1.08 (95% CI 1.05–1.11).

Conclusion

The results showed that increased occupational stress increased the presence of depressive symptoms, and that reduced occupational stress suppressed the development of depressive symptoms. More attention should be paid to stress management among workers.


Citations

Citations to this article as recorded by  
  • Arbeitszufriedenheit unter österreichischen Pädiaterinnen und Pädiatern
    Daniela S. Kohlfürst, Thomas Zöggeler, Daniela Karall, Reinhold Kerbl
    Pädiatrie & Pädologie.2024;[Epub]     CrossRef
  • The association of job training duration and risk of depression among wage workers: an analysis of the mediating factors
    Dong Geon Kim, Dong Kyu Kim, Kiook Baek
    Annals of Occupational and Environmental Medicine.2024;[Epub]     CrossRef
  • An Empirical Study of Job Burnout and Turnover Intentions of Emergency Physicians: Using Positive Psychological Capital as a Mediating Variable
    ChangJiang Deng
    Revista de Gestão Social e Ambiental.2024; 18(5): e07189.     CrossRef
  • Depression with obstructive sleep apnea lead to high cardiovascular disease morbidity/all‐cause mortality: Findings from the SHHS cohort
    Hui Liu, Wanda Peng, Lin Zhou, Yi Shen, Bin Xu, Jun Xie, Tingting Cai, Jun Zhou, Chong Li
    Journal of Sleep Research.2023;[Epub]     CrossRef
  • Empirical Study of Integrating Social Sustainability Factors: an Organizational Perspective
    Deepak Sharma, Pravin Kumar, Rajesh Kumar Singh
    Process Integration and Optimization for Sustainability.2023; 7(4): 901.     CrossRef
  • Synergistic interaction between long shifts and short rest periods on depression in shift workers: A cross‐sectional study from Korea
    Sungjin Park, Jongin Lee, June‐Hee Lee
    American Journal of Industrial Medicine.2023; 66(11): 977.     CrossRef
  • The Relationship Between Occupational Stress and Turnover Intention Among Emergency Physicians: A Mediation Analysis
    Nan Jiang, Hongling Zhang, Zhen Tan, Yanhong Gong, Mengge Tian, Yafei Wu, Jiali Zhang, Jing Wang, Zhenyuan Chen, Jianxiong Wu, Chuanzhu Lv, Xuan Zhou, Fengjie Yang, Xiaoxv Yin
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Workload and job satisfaction among Austrian pediatricians: gender and generational aspects
    Daniela S. Kohlfürst, Thomas Zöggeler, Daniela Karall, Reinhold Kerbl
    Wiener klinische Wochenschrift.2022; 134(13-14): 516.     CrossRef
  • The significant association between quick return and depressive symptoms and sleep disturbances in paid workers: A nationwide survey
    Byungyoon Yun, Juho Sim, Juyeon Oh, Yangwook Kim, Jin-Ha Yoon
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Multiple psychosocial work exposures and well-being among employees: prospective associations from the French national Working Conditions Survey
    Sandrine Bertrais, Nora HÉRault, Jean-FranÇOis Chastang, Isabelle Niedhammer
    Scandinavian Journal of Public Health.2022; 50(4): 419.     CrossRef
  • Assessment and Discussion of Correlation Among Psychological Symptoms, Occupational Strain, and Neurotic Personality for Metro Drive
    Jing He, Yanling Zhang, Si Qin, Wei Liu
    Frontiers in Psychology.2022;[Epub]     CrossRef
  • Perceived Psychological Feelings Make Important Contributions to the Symptoms of Common Mental Disorders of Medical Staff During the COVID-19
    Bing Han, Chao Ma, Zhaorui Liu, Rongmeng Jiang, Tingting Zhang, Ying Wang, Hongguang Chen, Jing Wen, Yueqin Huang
    Frontiers in Psychiatry.2022;[Epub]     CrossRef
  • Validation of Rosenberg Teachers' Occupational Stress Scale on Iranian Teachers
    Esmail Abdali, Behnam Talebi, Asadollah Khadivi
    Journal of Occupational Health and Epidemiology.2022; 11(4): 281.     CrossRef
  • Factor Structure and Validity of the Korean Version of the Patient Health Questionnaire-9 Among Early Childhood Teachers
    Boram Lee
    The Open Psychology Journal.2021; 14(1): 69.     CrossRef
  • Predictors of Depression and Anxiety Symptoms in Brazil during COVID-19
    Stephen X. Zhang, Hao Huang, Jizhen Li, Mayra Antonelli-Ponti, Scheila Farias de Paiva, José Aparecido da Silva
    International Journal of Environmental Research and Public Health.2021; 18(13): 7026.     CrossRef
  • A study of job stress, suicidal ideation and suicide attempts in display manufacturing workers: a cross-sectional study
    Seung-hwan Ahn, Yong-Jin Lee, Eun-Chul Jang, Soon-Chan Kwon, Young-Sun Min, Seung-Hoon Ryu
    Annals of Occupational and Environmental Medicine.2020;[Epub]     CrossRef
  • Examining occupational stress in early-career child welfare workers
    Dina J. Wilke, Karen Randolph, Cassandra Olson
    Journal of Workplace Behavioral Health.2020; 35(3): 158.     CrossRef
  • 169 View
  • 0 Download
  • 15 Web of Science
  • 17 Crossref
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Research Article
The association between Korean employed workers’ on-call work and health problems, injuries
Chulin Baek, Jae Bum Park, Kyungjong Lee, Jaehyuk Jung
Ann Occup Environ Med 2018;30:19.   Published online March 20, 2018
DOI: https://doi.org/10.1186/s40557-018-0225-0
AbstractAbstract PDFPubReaderePub
Background

On-call work is a form of work that requires the person to work at any time during the on-call period. Thus, on-call work is often regarded as one of the most severe stress factors. This study investigates the associations between on-call work and health problems, injuries.

Methods

This study was based on the 3rd Korean Working Conditions Survey. Total of 29,246 employed workers who had been working for at least 1 year were included. Logistic regression analysis was performed to investigate the association between on-call work and health problems, injuries.

Results

The odds ratios for on-call workers in terms of physical health problems, psychological health problems, and injuries were 1.33 (95% confidence interval [CI] 1.22-1.44), 1.31 (95% CI 1.08-1.60), and 2.76 (95% CI 2.26-3.37), respectively. Analysis of the detailed symptoms revealed odds ratios in on-call workers of 2.06 for hearing problems (95% CI 1.63-2.62); 1.71 for skin problems (95% CI 1.38-2.12); 1.22 for back pain (95% CI 1.08-1.38); 1.23 for muscular pains in upper limbs (95% CI 1.12-1.34); 1.27 for muscular pains in lower limbs (95% CI 1.15-1.40); 1.46 for headache, eye fatigue (95% CI 1.32-1.60); 1.37 for abdominal pain (95% CI 1.02-1.85); 1.43 for depression or anxiety disorders (95% CI 1.07-1.93); 1.36 for fatigue (95% CI 1.24-1.49); and 1.41 for insomnia and general sleep difficulties (95% CI 1.13-1.76).

Conclusions

The present study found that on-call work results in an increased risk of health problems and injuries. This study is the result of analyses of broad range of the job spectrum in Korean employed workers; thus, future studies are necessary to determine the effects of on-call work in various job groups.


Citations

Citations to this article as recorded by  
  • On-call work and depressive mood: A cross-sectional survey among rural migrant workers in China
    Qingqing Xu, Liyun Wang, Yiwen Zhang, Xia Jiang
    Frontiers in Psychology.2023;[Epub]     CrossRef
  • Changes in the Health Indicators of Hospital Medical Residents During the Four-Year Training Period in Korea
    Ji-Sung Ahn, Seunghyeon Cho, Won-Ju Park
    Journal of Korean Medical Science.2022;[Epub]     CrossRef
  • Prevalence and risk factors associated with poor sleep among firefighters in Taiwan: An observational study
    Cheng-Yao Lin, Shih-Bin Su, Ya-Ting Hu, Cheau-Jane Peng, Kou-Huang Chen, Kow-Tong Chen
    Medicine.2022; 101(44): e31570.     CrossRef
  • 146 View
  • 1 Download
  • 3 Web of Science
  • 3 Crossref
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