ArticleJournal of behavioral addictions2018
Ten myths (or facts?) about workaholism: An appetitive motivation framework.
Article in Journal of behavioral addictions, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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.
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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
3 citing papers in PubMed.
- A daily diary investigation on the job-related affective experiences fueled by work addiction.Journal of behavioral addictions · 2020Article
- Work Addiction, Obsessive-Compulsive Personality Disorder, Burn-Out, and Global Burden of Disease: Implications from the ICD-11.International journal of environmental research and public health · 2020Article
- Beyond the myths about work addiction: Toward a consensus on definition and trajectories for future studies on problematic overworking.Journal of behavioral addictions · 2019Article
Corrections and comments
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This commentary intends to provide constructive input into the "Ten myths about work addiction" by Griiffiths et al. (2018). I place the information into an appetitive motivation theoretical lens of addiction as well as outline the kernels of truth associated with each myth. Advancement of an understanding of the underlying mechanisms of addiction demands consideration that any number of appetitive-associated behaviors might become disrupted - including those at the workplace.
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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.