The Prevalence and Psychosocial Factors of Problematic Smartphone Use Among Chinese College Students: A Three-Wave Longitudinal Study

Wang, Anqi; Wang, Zhen; Ya, Zhu; Shi, Xuliang

doi:10.3389/fpsyg.2022.877277

Cited by 26 publications

(23 citation statements)

References 58 publications

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“…As such, these students may be more susceptible to some of the negative psychological consequences associated with problematic smartphone use, such as anxiety [19,42], depression [9,36,42], and loneliness [14,36]. Importantly, this group contained 22% of the sample, which is in contrast to other recent studies which have found prevalence rates of 52-68% for problematic smartphone use among university students (e.g., [65][66][67]). This discrepancy in findings emphasizes the importance of person-centered work which allows for a more nuanced investigation of the heterogeneity of symptom/feature cooccurrence and thus avoids overpathologizing behaviours which have become largely normative.…”

Section: Discussionmentioning

confidence: 77%

Predicting Patterns of Problematic Smartphone Use among University Students: A Latent Class Analysis

Parent

Bond

et al. 2022

Human Behavior and Emerging Technologies

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University students are consistently ranked among the highest users of smartphones. As such, recent research has focused on examining the antecedents and consequences of problematic smartphone use among university students. While this work has been instrumental to our understanding of the risk and protective factors of developing problematic smartphone use, it has been largely variable-centered and thus fails to recognize the diversity with which problematic smartphone use is experienced among university students. As such, this study employed a person-centered approach (i.e., latent class analysis) to classify individuals based on patterns of problematic smartphone use feature/symptom cooccurrence among a sample of 403 Canadian university students. The relationships between these subgroups (or classes) and potential covariates (i.e., self-regulation, attachment anxiety, and attachment avoidance) were then examined to gain a more complete understanding of university students’ experiences of problematic smartphone use. Three classes of problematic smartphone use were identified: (1) “connected” displaying the features/symptoms of problematic smartphone use associated with being constantly connected to smartphones; (2) “problematic” displaying all of the features/symptoms of problematic smartphone use; (3) “distracted” displaying the features/symptoms associated with being distracted by smartphones. Findings indicate that attachment anxiety and avoidance were significantly associated with membership in the most pathological (i.e., “problematic”) class, suggesting that this may be an especially important risk factor for developing problematic smartphone use among university students. Moreover, self-regulation was significantly related to membership in the least pathological class (i.e., “connected”) suggesting that this may function as an important protective factor in developing more concerning patterns of problematic smartphone use. Findings from this work provide empirical evidence of a heterogeneity in patterns of problematic smartphone use associated with distinct individual-level risk factors. This has important implications for conceptualizations of problematic smartphone use and the development of intervention and prevention efforts.

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Section: Discussionmentioning

confidence: 77%

Predicting Patterns of Problematic Smartphone Use among University Students: A Latent Class Analysis

Parent

Bond

et al. 2022

Human Behavior and Emerging Technologies

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“…A few studies have investigated longitudinal associations of PSU. PSU, as measured by SAS-SA has been found to be positively moderately associated with depression and anxiety measured six and eighteen months later among Chinese college students (Wang, Wang, Zhu, & Shi, 2022). Additionally, a medium six-month association between PSU, as measured by the Smartphone Addiction Inventory, and depression has been reported (Zhou, Dang, Lam, Zhang, & Wu, 2021) among Chinese adolescents.…”

Section: Introductionmentioning

confidence: 91%

Validity, reliability, and correlates of the Smartphone Addiction Scale, Short Version among Japanese adults

Hamamura¹,

Kobayashi²,

Oka³

et al. 2022

Preprint

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Background: The short version of the Smartphone Addiction Scale (SAS-SV) is widely used to measure problematic smartphone use. This study examined the validity and reliability of SAS-SV among Japanese adults, as well as cross-sectional and longitudinal associations with relevant mental health traits and problems. Methods: Datasets from a larger project on smartphone use and mental health were used to conduct three studies. Participants were adults aged over 20 years and carrying a smartphone. Results: Study 1 (n = 99,156) showed acceptable internal consistency and structural validity of SAS-SV with a bifactor model with three factors. Study 2 (n = 20,389) also showed the test-retest reliability of SAS-SV. The intraclass correlation coefficient was .70, 95% CI[.69, 70], when SAS-SV was measured seven and twelve months apart. Study 3 (n = 3,419) revealed that SAS-SV was strongly positively correlated with another measure of problematic smartphone use and moderately correlated with smartphone use time, problematic internet use, depression, the attentional factor of impulsiveness, and symptoms related to attention-deficit hyperactivity disorder and obsessive-compulsive disorder when measured concurrently. SAS-SV was positively and strongly associated with another measure of PSU and problematic internet use and moderately associated with depression when measured twelve months apart. Discussion: The structural validity of SAS-SV appeared acceptable among Japanese adults. The reliability of SAS-SV was demonstrated in the subsequent seven- and twelve-month association. The cross-sectional and longitudinal associations of SAS-SV provided further evidence regarding the characteristics of PSU.

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“…A few studies have investigated the longitudinal associations of PSU. PSU, as measured by the SAS-SV has been found to be moderately positively associated with depression and anxiety measured six and eighteen months later among Chinese college students [ 25 ]. Additionally, a medium six-month association between PSU, as measured by the Smartphone Addiction Inventory, and depression has been reported [ 26 ] among Chinese adolescents.…”

Section: Introductionmentioning

confidence: 99%

Validity, reliability, and correlates of the Smartphone Addiction Scale–Short Version among Japanese adults

et al. 2023

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Background The short version of the smartphone addiction scale (SAS-SV) is widely used to measure problematic smartphone use (PSU). This study examined the validity and reliability of the SAS-SV among Japanese adults, as well as cross-sectional and longitudinal associations with relevant mental health traits and problems. Methods Datasets from a larger project on smartphone use and mental health were used to conduct two studies. Participants were adults aged over 20 years who carried a smartphone. Results Study 1 (n = 99,156) showed the acceptable internal consistency and structural validity of the SAS-SV with a bifactor model with three factors. For the test-retest reliability of the SAS-SV, the intraclass correlation coefficient (ICC) was .70, 95% CI [.69, 70], when the SAS-SV was measured seven and twelve months apart (n = 20,389). Study 2 (n = 3419) revealed that when measured concurrently, the SAS-SV was strongly positively correlated with another measure of PSU and moderately correlated with smartphone use time, problematic internet use (PIU), depression, the attentional factor of impulsiveness, and symptoms related to attention-deficit hyperactivity disorder and obsessive-compulsive disorder. When measured 12 months apart, the SAS-SV was positively strongly associated with another measure of PSU and PIU and moderately associated with depression. Discussion The structural validity of the SAS-SV appeared acceptable among Japanese adults with the bifactor model. The reliability of the SAS-SV was demonstrated in the subsequent seven- and twelve-month associations. Conclusion The cross-sectional and longitudinal associations of the SAS-SV provided further evidence regarding PSU characteristics.

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The Prevalence and Psychosocial Factors of Problematic Smartphone Use Among Chinese College Students: A Three-Wave Longitudinal Study

Cited by 26 publications

References 58 publications

Predicting Patterns of Problematic Smartphone Use among University Students: A Latent Class Analysis

Predicting Patterns of Problematic Smartphone Use among University Students: A Latent Class Analysis

Validity, reliability, and correlates of the Smartphone Addiction Scale, Short Version among Japanese adults

Validity, reliability, and correlates of the Smartphone Addiction Scale–Short Version among Japanese adults

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