Problematic Smartphone Use, Separation from the Phone, and Stress and Anxiety
Bibliographic record
Abstract
Although smartphones have become a ubiquitous part of everyday life, their use – especially excessive or compulsive use – is thought to be associated with detrimental effects, such as increased stress and anxiety. Whilst some research has been devoted to exploring these effects, the purpose of this dissertation was to: a) quantify the strength of this relationship within the existing cross-sectional literature, and b) extend the experimental literature. Across a series of three studies – including a meta-analytic review and two experiments – the possible associations between the severity of problematic smartphone use, separation from the phone, and stress and anxiety were explored. Study One was a meta-analytic review of 39 independent samples (N = 21 736), which examined the cross-sectional relationships between smartphone use, stress, and/or anxiety. The summary effect size of r = .22, p < .001, CI [.17–.28], indicated a small‐to medium association between smartphone use and stress and anxiety. Studies that assessed the severity of problematic phone use (use that is compulsive, excessive, or addictive) had stronger effect sizes than those that assessed non-problematic use. To follow-up these results, two experiments, which were based on a study by Cheever, Rosen, Carrier, and Chavez (2014) were conducted, to examine one possible source of smartphone-induced stress and anxiety – temporary separation from the phone. Smartphone separation has been hypothesized to result in “Fear of Missing Out” (FoMO) and (phone) separation anxiety, especially among those high in problematic phone use. In Study Two, participants (N = 181) were randomly assigned to three conditions: (1) Smartphone Separation, (2) Wallet Separation, and (3) No Separation, and had their levels of self-reported anxiety and stress, as well as their heart rate and skin conductance response measured. The results did not support the notion that smartphone separation results in detrimental effects on participants’ physiological or self-reported stress and anxiety, or that individuals with the highest levels of problematic phone use experience more detrimental effects from smartphone separation than those with lower levels. Study Three explored the possibility that previous studies that found significant effects of smartphone separation on anxiety may have been confounded by participant boredom during the separation period. This study involved manipulating participants’ levels of boredom across three conditions – two of which involved smartphone restriction – and examined their effects on self-reported stress and anxiety. Participants (N = 224) were randomly assigned to sit for an hour either: (1) without their phones and in complete silence, (2) without their phones while watching a documentary, or (3) using their phones. Participants’ boredom levels better explained participants’ anxiety in Study Three than did smartphone restriction. Taken as a whole, the results of this dissertation suggest that, while there is a significant association between smartphone use – especially higher levels of problematic use – and stress and anxiety, temporary periods of separation from the phone are not likely in themselves to be part of the explanation of this association. The implications of these findings for both previous and future research are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".