Sleep problems and computer use during work and leisure: Cross-sectional study among 7800 adults

Andersen, Lars L.; Garde, Anne Helene

doi:10.3109/07420528.2015.1095202

Cited by 19 publications

(13 citation statements)

References 32 publications

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“…By using data previous published on this cohort ( n = 7,883) we conducted a Pearson's correlation between the 3 questions used in this study and all 6 questions of the Bergen Insomnia Scale (PCC 0.94). Furthermore, we also performed an analysis on the correlation between the questions used herein and the remaining 3 questions of the scale (PCC 0.78) ( 30 ). Because of the high correlations presented we are confident in utilizing this simplified version as an indication of sleep quality.…”

Section: Methodsmentioning

confidence: 99%

Association of Stress and Musculoskeletal Pain With Poor Sleep: Cross-Sectional Study Among 3,600 Hospital Workers

et al. 2018

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Background: While acute stress and pain are part of our inherent survival mechanisms, persistent stress and pain can negatively impact health and well-being. This may also lead to poor sleep and thus a lack of recovery. This study investigated the influence of stress and musculoskeletal pain on sleep quality.Methods: A total of 3,593 Danish hospital workers replied to a questionnaire about work and health. Pain intensity was evaluated using subjective values as an average of 9 body parts. Stress was assessed using the full version of Cohen's Perceived Stress scale. Sleep quality was rated using 3 questions on sleep characteristics. Associations between stress and pain (mutually adjusted predictors) and sleep (outcome) were modeled using binary logistic regression controlling for gender, age, education, BMI and smoking.Results: The risk ratio of moderate stress (compared to no/low stress) on poor sleep was 1.27 (CI 1.26–1.29), whereas the risk ratio of high stress on poor sleep was 1.87 (CI 1.83–1.91). Similarly, for pain, the risk ratio of moderate pain (compared to no/low pain) on poor sleep was 1.18 (95% CI 1.16–1.19), whereas the risk ratio of a high pain score on poor sleep was 1.48 (95% CI 1.44–1.52).Conclusion: This study demonstrates that both stress and musculoskeletal pain are associated with poor sleep among hospital workers. Hospital management should consider implementing strategies for preventing stress and musculoskeletal pain to improve the overall health and workability among hospital workers.

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Section: Methodsmentioning

confidence: 99%

Association of Stress and Musculoskeletal Pain With Poor Sleep: Cross-Sectional Study Among 3,600 Hospital Workers

et al. 2018

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“…Data on the work environment and health in the study population were obtained from the 2010 round of the Danish Work Environment Cohort Study (DWECS). 17 – 20 This study consists of questionnaires assessing work environment and health in the general working population of Denmark, and has been repeated every five years since 1990. The questions used for this study are specified below.…”

Section: Methodsmentioning

confidence: 99%

Job satisfaction is more than a fruit basket, health checks and free exercise: Cross-sectional study among 10,000 wage earners

Andersen¹,

Fishwick

Robinson

et al. 2017

Scand J Public Health

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Aim: Workers who are satisfied with their job are the cornerstones of healthy and productive companies. This study investigated factors associated with job satisfaction in the general working population. Methods: From the 2010 round of the Danish Work Environment Cohort Study, currently employed wage earners (N=10,427) replied to questions about work, lifestyle and health. Multinomial logistic regression controlled for sex, age, job group, smoking, body mass index, chronic disease and general health assessed the association between work factors and job satisfaction (very satisfied and satisfied, respectively, with unsatisfied as reference). Results: Psychosocial work factors – social support from superiors, social support from colleagues and influence at work – had the strongest association with job satisfaction. For example, for high social support from superiors, the odds ratio (OR) for being very satisfied with the job was 12.35 (95% confidence interval [CI] 8.71–17.51). With sedentary work as reference, the OR for being very satisfied with the job for ‘standing and walking work that is not strenuous’ was 1.57 (95% CI 1.06–2.33), while the opposite was seen for ‘heavy and strenuous work’ with an OR of 0.34 (95% CI 0.18–0.62). Only two out of five types of workplace health-promotion offers (physical exercise and healthy diet) were associated with job satisfaction. For example, for offers of physical exercise the OR for being very satisfied with the job was 1.84 (95% CI 1.33–2.55). Conclusions: While psychosocial work factors and to some extent physical work demands are important for job satisfaction, workplace health-promotion offers appear to play a minor role.

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“…Fourthly, technology-related stress which is caused by frustrating experiences with hardware or software problems can increase stress and anxiety in computer workers with high job demands. Lastly, sleep problems and musculoskeletal disorders related with computer work could affect the pathophysiology of the development of depression and anxiety [ 29 , 30 ].…”

Section: Discussionmentioning

confidence: 99%

Computer use at work is associated with self-reported depressive and anxiety disorder

Kim

Kang

Yoo³

et al. 2016

Ann of Occup and Environ Med

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BackgroundWith the development of technology, extensive use of computers in the workplace is prevalent and increases efficiency. However, computer users are facing new harmful working conditions with high workloads and longer hours. This study aimed to investigate the association between computer use at work and self-reported depressive and anxiety disorder (DAD) in a nationally representative sample of South Korean workers.MethodsThis cross-sectional study was based on the third Korean Working Conditions Survey (2011), and 48,850 workers were analyzed. Information about computer use and DAD was obtained from a self-administered questionnaire. We investigated the relation between computer use at work and DAD using logistic regression.ResultsThe 12-month prevalence of DAD in computer-using workers was 1.46 %. After adjustment for socio-demographic factors, the odds ratio for DAD was higher in workers using computers more than 75 % of their workday (OR 1.69, 95 % CI 1.30−2.20) than in workers using computers less than 50 % of their shift. After stratifying by working hours, computer use for over 75 % of the work time was significantly associated with increased odds of DAD in 20–39, 41–50, 51–60, and over 60 working hours per week. After stratifying by occupation, education, and job status, computer use for more than 75 % of the work time was related with higher odds of DAD in sales and service workers, those with high school and college education, and those who were self-employed and employers.ConclusionsA high proportion of computer use at work may be associated with depressive and anxiety disorder. This finding suggests the necessity of a work guideline to help the workers suffering from high computer use at work.Electronic supplementary materialThe online version of this article (doi:10.1186/s40557-016-0146-8) contains supplementary material, which is available to authorized users.

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Sleep problems and computer use during work and leisure: Cross-sectional study among 7800 adults

Cited by 19 publications

References 32 publications

Association of Stress and Musculoskeletal Pain With Poor Sleep: Cross-Sectional Study Among 3,600 Hospital Workers

Association of Stress and Musculoskeletal Pain With Poor Sleep: Cross-Sectional Study Among 3,600 Hospital Workers

Job satisfaction is more than a fruit basket, health checks and free exercise: Cross-sectional study among 10,000 wage earners

Computer use at work is associated with self-reported depressive and anxiety disorder

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