Smartphone Addiction and Traffic Accidents: the Moderating Role of Texting While Driving

Rosenthal, Samantha R; Li, Yufei; Wensley, Izabelle A; Perez, Diorcalix; Gately, Kelsey A.

doi:10.1007/s41347-022-00265-3

Cited by 9 publications

(6 citation statements)

References 38 publications

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“…Conversely, the relationship PSU and academic achievement was not found to differ across sex, nor to depend on variables such as age, year of publication, study quality, academic achievement indicator, PSU assessment or geographical region. These findings extend meta-analytic evidence supporting the potential detrimental effects of PSU (Alan et al, 2022;Ratan et al, 2021;Reer et al, 2022;Rosenthal, Li, Wensley, et al, 2022;Yang et al, 2020) by demonstrating that a negative small-sized and consistent relationship exists between PSU and academic achievement. The main implications derived from the results obtained are set out in more detail below.…”

Section: Discussionsupporting

confidence: 79%

Problematic smartphone use and academic achievement: A systematic review and meta-analysis

Paterna,

Alcaraz-Ibáñez,

Aguilar-Parra

et al. 2024

JBA

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Background and aimsThe present study aimed to synthesize existing quantitative evidence on the relationship between problematic smartphone use (PSU) and academic achievement with a focus on quantifying its magnitude and examining its potential moderators.MethodsEligible studies were searched for up to February 10, 2023 in six different databases (i.e., MEDLINE, Current Contents Connect, PsycINFO, Web of Science, SciELO, and Dissertations & Theses Global). Studies were considered eligible if they provided information derived from self-report instruments that allowed statistical calculation of the relationship between PSU and academic achievement. Pooled effect sizes (r) were computed using a random-effects model. Meta-regressions were conducted to test the influence of study-level moderators on the relationship of interest. Influence analyses and a three-parameter selection model (3PSM) were conducted to examine the robustness of the results and publication bias, respectively.ResultsA total of 33 effect sizes from 29 studies (n = 48,490) were retrieved. Results showed a small effect size (r = −0.110), which tended to be larger in samples consisting of students from elementary and middle schools.Discussion and ConclusionsFindings from the present study contribute to the understanding of a potential determinant of decreased academic achievement by providing evidence that PSU may be one of them.

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Section: Discussionsupporting

confidence: 79%

Problematic smartphone use and academic achievement: A systematic review and meta-analysis

Paterna,

Alcaraz-Ibáñez,

Aguilar-Parra

et al. 2024

JBA

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“…This is problematic given that the saliency of smartphones as a momentary distractor is likely to be higher for those with higher smartphone dependency and FoMO. This is consistent with existing studies have shown that individuals with high FoMO and smartphone dependency are more likely to be distracted by smartphone such as engaging in smartphone-related bedtime procrastination (e.g., Scott & Woods, 2018;Zhang et al, 2023) and experiencing smartphone-related traffic accidents (e.g., Appel et al, 2019;S. R. Rosenthal et al, 2022).…”

supporting

confidence: 92%

The effect of mere presence of smartphone on cognitive functions: A four-level meta-analysis.

Hartanto,

Lua,

Kasturiratna

et al. 2024

Technology, Mind, and Behavior

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As smartphones have become portable and immersive devices that afford social, informational, and recreational conveniences unbounded by physical restrictions, most daily activities have become closely intertwined with the presence of smartphones. This constant presence of smartphones in daily activities, however, may be concerning as some studies have suggested that smartphones-even their mere presence-can be distracting and can impair cognitive outcomes. However, such findings have not been consistently observed. To reconcile mixed findings, the current meta-analysis synthesized 166 effect sizes drawn from 53 samples and 33 studies including 4,368 participants on the effect of mere presence of smartphone on cognitive functions. It was found that the mere presence of smartphone had no significant effect on cognitive outcomes (d = −0.02, SE = 0.02, 95% CI [−0.06, 0.01], p = .246). Further, the effect of mere presence of smartphone was not moderated by demographics, trait smartphone dependency, or various methods for manipulating smartphone presence and assessing cognitive outcomes. These findings indicate that there is little reason at present to think that complete isolation from smartphones in a work environment would improve productivity and performance.

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“…In general, distraction can affect cognitive performance and, importantly, memory and attention [63]. For example, many studies have demonstrated the effects of distraction on driving or in work contexts that require a maximum level of attention [64][65][66]. Being distracted involves being absorbed in virtual activities that divert attention from the present moment and the surrounding environment.…”

Section: Discussionmentioning

confidence: 99%

Smartphone Distraction: Italian Validation of the Smartphone Distraction Scale (SDS)

Mascia

Agus

Tomczyk

et al. 2023

IJERPH

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This work aimed to validate the use of the Smartphone Distraction Scale (SDS) in Italy. The SDS was devised to assess distraction related to smartphone use in adult populations. A cross-sectional study was conducted among n = 609 adults (females = 76.4%; mean age = 30.26; SD age = 9.90). An assessment of the factorial structure of the Italian version was carried out using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The four factors identified by Throuvala and colleagues were confirmed (i.e., attention impulsiveness, online vigilance, multitasking and emotion regulation). Reliability was assessed using Cronbach’s alpha coefficient (0.703–0.889). The scale’s scores showed significant linear correlations with validated instruments, including the Mobile Phone Problematic Use Scale (MPPUS)and the Cognitive Failures Questionnaire (CFQ). A multivariate analysis of variance showed significant differences in the means among participants belonging to different age groups (born before 1995 vs. born after 1996). In summary, the good psychometric properties observed led us to assume that this instrument can be applied and used in Italian studies to assess the cognitive dimension of distraction related to the use of smartphones.

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Smartphone Addiction and Traffic Accidents: the Moderating Role of Texting While Driving

Cited by 9 publications

References 38 publications

Problematic smartphone use and academic achievement: A systematic review and meta-analysis

Problematic smartphone use and academic achievement: A systematic review and meta-analysis

The effect of mere presence of smartphone on cognitive functions: A four-level meta-analysis.

Smartphone Distraction: Italian Validation of the Smartphone Distraction Scale (SDS)

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