Modelling the contribution of metacognitions and expectancies to problematic smartphone use
Casale S, Fioravanti G, Spada MM
Journal of behavioral addictions · 23 citations
How it was studied
- Design
- Cross-sectional study (classified by our AI screen)
- Studied in
- People
- Main outcome
- Health markers and function
Who paid for it
- Funding
- Independent funding
- University or hospital
- PSU
Based on 1 listed funder(s) and full-text disclosure statement.
Publication
- Published
- 2021-10-05 · J Behav Addict · vol. 10 · issue 3 · pp. 788–798
- Publisher
- Akadémiai Kiadó
- Cited
- 37 citations · more than 97% of similar papers · 7.4× the field average
- Impact
- Top 10% most cited in its field
- References
- 80 works
- Access
- Open access (journal) · CC-BY-NC
- Research areas
- Impact of Technology on Adolescents · Mind wandering and attention · Perfectionism, Procrastination, Anxiety Studies
- Keywords
- smartphone addiction, metacognition, psychological distress, impulsivity, boredom proneness, metacognitive theory, mediation, social media addiction
- MeSH
- humans, risk factors, impulsive behavior, behavior, addictive, boredom, motivation, models, psychological, adult, middle aged, female, male, young adult, smartphone, metacognition, psychological distress, mediation analysis
3 authors
From IT, GB
- Silvia Casale · correspondingUniversity of Florence
- Giulia Fioravanti · correspondingUniversity of Florence
- Marcantonio M. Spada · correspondingLondon South Bank University
Abstract
Background and aims
In the current study we have sought to clarify the contribution of metacognitions concerning smartphone use relative to smartphone use expectancies in the relationship between well-established predisposing psychological factors and problematic smartphone use (PSU). We tested a model where psychological distress, impulsivity, and proneness to boredom predict metacognitions about smartphone use and smartphone use expectancies, which in turn predict PSU.
Methods
A sample of 535 participants (F = 71.2%; mean age = 27.38 ± 9.05 years) was recruited.
Results
The model accounted for 64% of the PSU variance and showed good fit indices (χ 2 = 16.01, df = 13, P = 0.24; RMSEA [90%CI] = 0.02 [0-0.05], CFI = 0.99; SRMR = 0.03). We found that: (i) when it comes to psychological distress and boredom proneness, negative metacognitions, and both positive and negative expectancies play a mediating role in the association with PSU, with negative metacognitions showing a dominant role; (ii) there is no overlap between positive expectancies and positive metacognitions, especially when it comes to smartphone use as a means for socializing; (iii) impulsivity did not show a significant effect on PSU Direct effects of the predictors on PSU were not found.
Discussion and conclusions
The current study found additional support for applying metacognitive theory to the understanding of PSU and highlight the dominant role of negative metacognitions about smartphone in predicting PSU.
Abstract via Europe PMC. Copyright remains with the authors or publisher (CC BY-NC).
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