ArticlePloS one2022
Translation and psychometric evaluation of Smartphone Addiction Scale-Short Version (SAS-SV) among Chinese college students.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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Who cites it
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The effects of different exercise interventions on reducing internet addiction in adolescents or young adults: a systematic review and network meta-analysis.Frontiers in psychiatry · 2025Pooled it
- Smartphone addiction, thumb-wrist symptoms, and first extensor compartment ultrasonographic findings in young adults: a multicentre prospective study with six-month follow-up.International orthopaedics · 2026Observational
- Smartphone addiction, nomophobia, and neck-related functional disability among undergraduate students in a Nigerian University: a cross-sectional study.BMC public health · 2026Article
- Individual and joint associations of smartphone addiction and work duration with job burnout in nursing interns: a multicenter cross-sectional study.BMC nursing · 2026Article
- Within-person reciprocal associations between problematic smartphone use and exercise adherence among university students: a four-wave random-intercept cross-lagged panel study.Frontiers in psychology · 2026Article
- Differential associations of exercise intensity, duration, and frequency with smartphone addiction: the mediating roles of mindfulness and anxiety.Frontiers in psychology · 2026Article
- A sex-specific difference in smartphone addiction, physical activity level, and cognitive functions among university students.AIMS public health · 2026Article
- Network analysis of smartphone addiction and sleep disorder symptoms in Chinese college students.PloS one · 2026Article
- Smartphone addiction and learning engagement: a parallel mediation model of time management disposition and academic burnout among nursing undergraduates.Frontiers in psychology · 2026Article
- Perceived parental emotional warmth and academic burnout in physical education pre-service teachers: the chain mediating roles of physical activity and smartphone addiction.Frontiers in psychology · 2026Article
- The Association of Fatalistic Determinism With Problematic Smartphone Use in Nurses: A Cross-Sectional Study Assessing the Mediating Roles of Self-Control and Grit.Journal of nursing management · 2026Article
- Article
- Smartphone addiction, emotional coping strategies, and mental health symptoms in Chinese university students: a gender-based analysis.Frontiers in psychology · 2026Article
- Depressive symptoms precede and drive problematic smartphone use in Chinese medical students: a longitudinal network analysis.Frontiers in psychology · 2026Article
- Physical activity motivation is inversely associated with anxiety: a cross-sectional serial mediation analysis involving smartphone addiction symptoms and sleep quality in medical undergraduates.Frontiers in psychology · 2026Article
- Translation and psychometric properties of the tamil version of the smartphone addiction scale- short version (SAS-SV-T) among adolescents: measurement invariance across gender.BMC psychology · 2025Article
- French Versions of 2 English Questionnaires on Problematic Digital Use Assessed by Adolescents and Their Parents: Cross-Cultural Linguistic Translation and Adaptation Study.Interactive journal of medical research · 2025Article
- Article
- Smartphone addiction and sleep quality in the physical activity-anxiety link: a mediation-moderation model.Frontiers in public health · 2025Article
- Effectiveness of brief online mindfulness-based intervention on different types of mobile phone addiction: mechanisms of influence of trait mindfulness.Frontiers in psychology · 2025Article
Corrections and comments
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4 authors.
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Abstract
backgroundSmartphone addiction is very prevalent among college students, especially Chinese college students, and it can cause many psychological problems for college students. However, there is no valid research instrument to evaluate Chinese college students' smartphone addiction.
objectiveThis study aimed to translate the Smartphone Addiction Scale-Short Version (SAS-SV) into Chinese and evaluate the psychometric characteristics of the Smartphone Addiction Scale- Chinese Short version (SAS-CSV) among Chinese college students.
methodsThe SAS-SV was translated into Chinese using the forward-backward method. The SAS-CSV was completed by 557 Chinese college students (sample 1: n = 279; sample 2: n = 278). 62 college students were randomly selected from the 557 Chinese college students to be meas- ured twice, with an interval of two weeks. The reliability of the SAS-CSV was evaluated by internal consistency reliability and test-retest reliability, and the validity of the SAS-CSV was evaluated by content validity, structural validity, convergent validity, and discriminant validity.
resultsThe SAS-CSV presented good content validity, high internal consistency (sample 1: α = 0.829; sample 2: α = 0.881), and good test-retest reliability (ICC: 0.975; 95% CI: 0.966-0.985). After one exploratory factor analysis, three components (tolerance, withdrawal, and negative effect) with eigenvalues greater than 1 were obtained, and the cumulative variance contribution was 50.995%. The results of confirmatory factor analysis indicated that all the fit indexes reached the standard of good model fit (χ2/df = 1.883, RMSEA = 0.056, NFI = 0.954, RFI = 0.935, IFI = 0.978, TLI = 0.969, CFI = 0.978). The SAS-CSV presented good convergent validity for the factor loading of all the items ranged from 0.626 to 0.892 (higher than 0.50), the three latent variables' AVE ranged from 0.524 to 0.637 (higher than 0.50), and the three latent variables' CR ranged from 0.813 to 0.838 (higher than 0.70). Moreover, the square roots of the AVE of component 1 (tolerance), component 2 (withdrawal) and component 3 (negative effect) were 0.724, 0.778, and 0.798, respectively, higher than they were with other correlation coefficients, indicating that the SAS-CSV had good discrimination validity.
conclusionThe SAS-CSV is a valid instrument for measuring smartphone addiction among Chinese college students.
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