Stroop effect in smartphone addiction among college students

Zhang, Ting; Gong, Na; Jia, Rui; Li, Huian; Ni, Xiaoli

doi:10.1097/md.0000000000026741

Cited by 5 publications

(5 citation statements)

References 23 publications

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“…Therefore, extraverts are more likely to become addicted to smart phones. We found an inverse correlation between SPAT and neuroticism, which is inconsistent with other reports in the literature 23,24 and needs further exploration.…”

Section: Discussioncontrasting

confidence: 99%

Cross-sectional survey of smartphone addiction and its relationship with personality traits among medical students

Huang

Yang

Wei

et al. 2023

Australas Psychiatry

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Objective To understand the current smart phone addiction tendency (SPAT) in medical university students and relationship with personality traits. Methods A cross-sectional study from September 2019 to December 2019 selected medical students from Hubei University of China by cluster sampling. Questionnaires were administered to measure smart phone addiction tendency and personality traits. Results The prevalence of SPAT among 972 medical students was 24.3%. The prevalence was higher in students from one-child family than those with siblings (28.2% vs. 21.7%), and higher among students from urban families than those from rural ones (29.2% vs. 19.7%).Multivariate logistic regression analysis showed that extraversion and neuroticism were correlated with SPAT, with odds ratio and 95% confidence interval being equal to 1.070 (1.011–1.133) and 0.838 (0.795–0.844), respectively. Conclusions The prevalence of SPAT was high in medical college students. Extraversion and neuroticism were risk and protective factors for SPAT. Long duration phone use and a low number of physical workouts predicted high SPAT.

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Section: Discussioncontrasting

confidence: 99%

Cross-sectional survey of smartphone addiction and its relationship with personality traits among medical students

Huang

Yang

Wei

et al. 2023

Australas Psychiatry

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“…Numerous investigations have demonstrated that MPA negatively affects mental health by causing anxiety [ 10 ] and depression [ 11 , 12 ], affecting sleep quality [ 13 - 15 ] and cognitive function [ 16 ], and causing muscle pain [ 17 , 18 ], thereby affecting work productivity and the quality of life of individuals. Thus, MPA is now considered an important worldwide public health topic [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

The Relationship Between Physical Activity and Mobile Phone Addiction Among Adolescents and Young Adults: Systematic Review and Meta-analysis of Observational Studies

Xiao¹,

Wu²,

Yip³

et al. 2022

JMIR Public Health Surveill

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Background Previous studies have reported a potential negative correlation between physical activity (PA) and mobile phone addiction (MPA) among adolescents and young adults. To date, the strength of this correlation has not been well characterized. Objective This review and meta-analysis aimed to synthesize available empirical studies to examine the correlations between PA and MPA among adolescents and young adults. We also explored several potential moderators, including time of data collection, country or region, and type of population, associated with the relationship between PA and MPA. Methods Four electronic databases (PubMed, Scopus, PsycINFO, and Web of Science) were searched from database inception to March 2022 to identify relevant studies. The pooled Pearson correlation coefficients and their corresponding 95% CIs for the relationship between PA and MPA were calculated using the inverse variance method. The methodological quality of the included cross-sectional studies was determined based on the Joanna Briggs Institute appraisal checklist. The study conformed to the PRISMA (Preferred Reporting Items for Systematic Review and Meta-analyses) guidelines. Results In total, 892 relevant articles were identified, of which 22 were selected based on the inclusion and exclusion criteria. The final meta-analysis included 17 of the 22 studies. Results of random effects modeling revealed a moderate correlation between PA and MPA among adolescents and young adults (summary r=–0.243, P<.001). Sensitivity and publication bias analyses further demonstrated the robustness of our results. All the included studies were scored as high quality with a low risk of bias. Subgroup analysis further indicated that none of the hypothesized moderators (time of data collection, country or region, and type of population) significantly affected the relationship between PA and MPA, as confirmed by the mixed effects analysis. In addition, in the data collection subgroups, medium effect sizes were obtained for data collected before COVID-19 (r=–0.333, P<.001) and data collected during COVID-19 (r=–0.207, P<.001). In subgroup analyses for country or region, the correlation coefficient for China and other developing regions showed a similarly moderate effect size (r=–0.201, P<.001 and r= –0.217, P<.001, respectively). However, the effect sizes for developed regions were not significant (r=–0.446, P=.39). In a subgroup analysis based on the type of population, we found that the effect size for young adults was moderate (r=–0.250, P<.001). However, that of adolescents was not significant (r=–0.129, P=.24). Conclusions Our results demonstrate a moderately negative relationship between PA and MPA among young adults. The strength of this relationship was not influenced by the time of data collection, country or region, or type of population.

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“…Some other studies focus on academic adaptability and learning burnout (27,64), self-efficacy and academic adaptability (41,79,80) and selfefficacy and learning burnout (26,69). The correlation between smartphone dependence and learning burnout among university students have also been highlighted (28,29,81). Some researches have analyzed the moderating variables between the two.…”

Section: Research Value 51 Contributionsmentioning

confidence: 99%

“…There is a positive relationship between smartphone dependence and learning burnout ( 28 ). Zhang et al ( 29 ) find that the higher the level of smartphone dependence, the less will power students have to resist and control the temptation of smartphones, the slower they respond to the teacher, and the more likely they are to fall into learning burnout, such as lack of interest in academic life, lethargy, avoidance, and even indifference. Related studies have shown that smartphone dependence is positively correlated with learning burnout.…”

Section: Introductionmentioning

confidence: 99%

The effect of smartphone dependence on learning burnout among undergraduates: the mediating effect of academic adaptability and the moderating effect of self-efficacy

Chen,

Shen,

Xiao

et al. 2023

Front. Psychiatry

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IntroductionSmartphone dependence is closely related to the physical and mental health development of undergraduates and their learning. The purpose of this study was to explore the relationship between smartphone dependence, academic adaptability, self-efficacy and learning burnout among undergraduates and its underlying mechanisms.MethodsThe study was conducted on 2,110 undergraduates using the Smartphone Dependence Scale, the Undergraduates Learning Adjustment Scale, the Learning Burnout Undergraduates Scale and the Self-Efficacy Scale to develop a mediation model and a moderation model.ResultsThe findings of this study revealed that (1) smartphone dependence significantly negatively predicted academic adaptability; (2) academic adaptability significantly negatively predicted learning burnout; (3) smartphone dependence significantly positively predicted learning burnout; (4) academic adaptability partially mediated the effect of smartphone dependence on learning burnout; (5) self-efficacy played a moderating role in the effect of academic adaptability on learning burnout.ConclusionThese findings can help researchers and educators better understand the underlying mechanisms between smartphone dependence and learning burnout in undergraduates.

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Stroop effect in smartphone addiction among college students

Cited by 5 publications

References 23 publications

Cross-sectional survey of smartphone addiction and its relationship with personality traits among medical students

Cross-sectional survey of smartphone addiction and its relationship with personality traits among medical students

The Relationship Between Physical Activity and Mobile Phone Addiction Among Adolescents and Young Adults: Systematic Review and Meta-analysis of Observational Studies

The effect of smartphone dependence on learning burnout among undergraduates: the mediating effect of academic adaptability and the moderating effect of self-efficacy

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