Smartphone Addiction Prevalence and Its Association on Academic Performance, Physical Health, and Mental Well-Being among University Students in Umm Al-Qura University (UQU), Saudi Arabia

Alotaibi, Mohammad Saud; Fox, Mim; Coman, Robyn; Ratan, Zubair Ahmed; Hosseinzadeh, Hassan

doi:10.3390/ijerph19063710

Cited by 56 publications

(55 citation statements)

References 99 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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“…Alsiwed et al [3] found that 58.2% of medical students used smartphones for more than five h per day. Another study from Saudi Arabia found that 67.0% of respondents were smartphone-addicted, with average use of 6-11 h per day [19]. Damasceno et al [41] found that Brazilian young people spent more than four h per day on smartphones.…”

Section: Discussionmentioning

confidence: 99%

“…There is a significant relationship between the number of hours using the smartphone and the prevalence of addiction. The more hours of looking at electronic devices, the more likely to become addicted [18][19][20][21][22]. Previous studies argued that the younger users of electronic devices are more likely to develop musculoskeletal symptoms because of the early launching of technology in their daily lives [23,24].…”

Section: Introductionmentioning

confidence: 99%

Prevalence of text neck syndrome among Iraqi medical students: a cross-sectional study

et al. 2022

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Background: Excessive use of portable electronic devices causes neck flexion and the emergence of text neck syndrome (TNS). This study aims to explore the prevalence of TNS among medical students during the COVID-19 lockdown in Iraq. Methods: A prospective cross-sectional web-based study was conducted from 1st to 20th March 2021 at the faculty of medicine, Diyala University, Iraq. A self-administered questionnaire was distributed among the medical students using Google Form through social media (WhatsApp group). The semi-structured questionnaire included the sociodemographic, the valid smartphone addiction scale-short version (SAS-SV), and the neck disability index (NDI). Univariate, bivariate, and multiple logistic regression were used to analyze the data. SPSS version 16. The statistical significance is considered at less than 0.05. Results: Out of 273 medical students included in the study, 59.3% were males, unmarried (88.3%), and from the 1st year (21.6%). The mean age of students was 21.27 ± 1.74 years. The prevalence of text neck syndrome was 64.5%. About two-thirds (61.5%) of students were addicted to their smartphones and used them more than five h/daily (63.7%). Factors associated with neck disability were the students who did not warm up neck muscles before using the smartphone (OR = 8.796, 95% CI: 1.724 to 24.884), addicted to the smartphone (OR = 6.803, 95% CI: 3.455 to 13.397), experienced increase in daily hours using the smartphone during the COVID-19 related quarantine (OR = 5.370, 95% CI: 2.523 to 11.427), maintained smartphone use five hours and more daily (OR = 2.818, 95% CI: 1.422 to 5.587), had neck pain (OR = 2.876, 95% CI: 1.356 to 6.098), the female gender (OR = 2.756, 95% CI: 1.221 to 6.221), and those who did not have a frequent break when using the smartphone (OR = 2.693, 95% CI: 1.329 to 5.454). Conclusion: In conclusion, the prevalence of neck disability was high among the surveyed medical students. Addiction and excessive smartphone use with a lack of attention to warm up the neck muscles before usage was the most prominent predictors of neck disability.

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“…For young college students, due to quasi-permanent access to the internet, smartphones are often used to fill in almost any gaps in their life ( Harrison and Gilmore, 2012 ). Although smartphone use is accompanied by advantages such as sociability, entertainment, and information finding, it may also lead to adverse effects on physical and mental health due to dependence or addiction to mobile phones ( Kayis et al, 2021 ; Alotaibi et al, 2022 ; Kwon et al, 2022 ).…”

Section: Introductionmentioning

confidence: 99%

The role of family functioning: How the Big Five affect metacognitions about smartphone use

Xie

Liu²,

Xie³

et al. 2022

Front. Psychol.

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The present study aimed to explore the relationship between the Big Five and metacognitions about smartphone use and the mediating role of family functioning. A cohort of 470 Chinese college students was selected as subjects based on the second edition of the Big Five Inventory-2, the Chinese version of the Metacognitions about Smartphone Use Questionnaire, and the general functioning subscale of Family Assessment Device. The results showed that only neuroticism was significantly and positively correlated with positive metacognition, while the correlation between other personality traits and positive metacognition was not statistically significant. Except for openness, the correlation between other personality traits and negative metacognition was statistically significant. In addition, conscientiousness, extraversion, and neuroticism were found to directly affect negative metacognitions about smartphone use and indirectly affect the negative metacognitions about smartphone use through family functioning. Findings provide insights into the design of interventions aimed at improving metacognitions about smartphone use and preventing smartphone addiction among college students.

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Smartphone Addiction Prevalence and Its Association on Academic Performance, Physical Health, and Mental Well-Being among University Students in Umm Al-Qura University (UQU), Saudi Arabia

Cited by 56 publications

References 99 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

Prevalence of text neck syndrome among Iraqi medical students: a cross-sectional study

The role of family functioning: How the Big Five affect metacognitions about smartphone use

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