ArticleInternational archives of occupational and environmental health2014
The influence of psychosocial work characteristics on the need for recovery from work: a prospective study among computer workers.
Article in International archives of occupational and environmental health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 19 citations in OpenAlex.
- Physical activity and relaxation in the work setting to reduce the need for recovery: what works for whom?BMC public health · 2016Trial
- Limit values for the web instrument Need for Recovery based on health over two years and corresponding psychosocial working environment.Work (Reading, Mass.) · 2025Article
- Relationship between occupational and leisure-time physical activity and the need for recovery after work.Archives of public health = Archives belges de sante publique · 2023Article
- Effects of indoor plants on office workers: a field study in multiple Dutch organizations.Frontiers in psychology · 2023Article
- Put your feet up: The impact of personality traits, job pressure, and social support on the need for recovery after work.Current psychology (New Brunswick, N.J.) · 2022Article
- Unlimited Paid Time Off Policies: Unlocking the Best and Unleashing the Beast.Frontiers in psychology · 2022Review
- Are Psychosocial Resources Buffering the Relation Between Physical Work Behaviors and Need for Recovery?International journal of public health · 2022Article
- Factors influencing the need for recovery in employees with hearing loss: a cross-sectional study of health administrative data.International archives of occupational and environmental health · 2020Article
- Accelerometer-Measured Physical Activity at Work and Need for Recovery: A Compositional Analysis of Cross-sectional Data.Annals of work exposures and health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo investigate the influence of high job demands, low job control, and high social support on need for recovery (NFR) among computer workers.
methodsData was obtained from a longitudinal cohort study, including 5 consecutive measurements, with an in-between period of 6 months. General estimating equations analyses were performed to assess the risk for high NFR 6 months later. Odds ratios (ORs) for high NFR were calculated for high job demands, low job control and low social support, separately. Likewise, ORs were calculated for combinations of job demands and job control, as well as for combinations of job demands, job control and social support.
resultsHigh job demands resulted in an increased risk for high NFR 6 months later, particularly in older workers. Low social support showed also an increased risk for future high NFR, but this was not the case for low job control. Furthermore, a combination of high job demands and low job control, as well as a combination of high job demands, low job control and low social support demonstrated an increased risk for future high NFR where older workers showed higher risks.
conclusionThis study demonstrated that adverse psychosocial work characteristics predicted future NFR among computer workers.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.