Social media addiction among Moroccan university students: a cross sectional survey

Alaika, Oumaima; Doghmi, Nawal; Cherti, Mohamed

doi:10.11604/pamj-oh.2020.1.4.21930

Cited by 8 publications

(6 citation statements)

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“…A usual practice for indicating the presence of a symptom involves the recoding of the 5-point ratings using the midpoint (ie, 3) as the cutoff such that a particular criterion is met for a score of 3 or above. Some researchers recently advocated stricter coding by setting a higher cutoff of 4 instead of the midpoint [ 29 , 30 ]. Taken together, a review of the literature reveals 4 commonly adopted classification schemes: monothetic, polythetic, strict monothetic, and strict polythetic.…”

Section: Introductionmentioning

confidence: 99%

Heterogeneity of Prevalence of Social Media Addiction Across Multiple Classification Schemes: Latent Profile Analysis

Cheng¹,

Ebrahimi²,

Luk³

2022

J Med Internet Res

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Background As social media is a major channel of interpersonal communication in the digital age, social media addiction has emerged as a novel mental health issue that has raised considerable concerns among researchers, health professionals, policy makers, mass media, and the general public. Objective The aim of this study is to examine the prevalence of social media addiction derived from 4 major classification schemes (strict monothetic, strict polythetic, monothetic, and polythetic), with latent profiles embedded in the empirical data adopted as the benchmark for comparison. The extent of matching between the classification of each scheme and the actual data pattern was evaluated using sensitivity and specificity analyses. The associations between social media addiction and 2 comorbid mental health conditions—depression and anxiety—were investigated. Methods A cross-sectional web-based survey was conducted, and the replicability of findings was assessed in 2 independent samples comprising 573 adults from the United Kingdom (261/573, 45.6% men; mean age 43.62 years, SD 12.24 years) and 474 adults from the United States (224/474, 47.4% men; mean age 44.67 years, SD 12.99 years). The demographic characteristics of both samples were similar to those of their respective populations. Results The prevalence estimates of social media addiction varied across the classification schemes, ranging from 1% to 15% for the UK sample and 0% to 11% for the US sample. The latent profile analysis identified 3 latent groups for both samples: low-risk, at-risk, and high-risk. The sensitivity, specificity, and negative predictive values were high (83%-100%) for all classification schemes, except for the relatively lower sensitivity (73%-74%) for the polythetic scheme. However, the polythetic scheme had high positive predictive values (88%-94%), whereas such values were low (2%-43%) for the other 3 classification schemes. The group membership yielded by the polythetic scheme was largely consistent (95%-96%) with that of the benchmark. Conclusions Among the classification schemes, the polythetic scheme is more well-balanced across all 4 indices.

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Section: Introductionmentioning

confidence: 99%

Heterogeneity of Prevalence of Social Media Addiction Across Multiple Classification Schemes: Latent Profile Analysis

Cheng¹,

Ebrahimi²,

Luk³

2022

J Med Internet Res

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“…Learners who procrastinate lose their educational priorities, self-regulation, and time management (Melgaard et al, 2022, Lewis, 2022Gokalp et al, 2022). Prior studies discovered that social media addiction had an unfavorable effect on students' academic performance and overall well-being (Alaika et al,2020;Whelan et al, 2020;Navarro-Martinez & Pena-Acuna, 2022). Additionally, Haand and Shuwang (2020) assert also that social media addiction might result in sleep problems, depression, and academic failure.…”

Section: Discussionmentioning

confidence: 99%

“…On the other hand, some studies oppositely reported that students' excessive use of social media had been found to have a negative impact on a range of aspects of their lives (Brailovskaia et al, 2021). Previous studies discovered that social media addiction had a negative effect on students' academic performance, health, interpersonal connections, and general well-being (Alaika et al,2020;Whelan et al, 2020).…”

Section: Social Media Addictionmentioning

confidence: 99%

Influence of Social Media Addiction on Academic Achievement in Distance Learning: Intervening Role of Academic Procrastination

Caratiquit¹,

CARATIQUIT²

2023

Turkish Online Journal of Distance Education

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Using Partial Least Squares-Structural Equation Modeling with WarpPLS, this study examines the indirect effect of the relationship between learners' social media addiction and academic achievement in distance learning as mediated by academic procrastination. The study participants were 223 Filipino students at a secondary school in Cagayan, Philippines, who were chosen using convenience sampling. Sample sizes were calculated using the inverse square root and gamma-exponential methods. The findings indicated a positive and significant relationship between social media addiction and academic procrastination. There is also a negative and significant relationship between academic procrastination and learners' academic achievement. In terms of the indirect effects of the mediation model, the relationship between social media addiction and academic achievement is fully mediated by academic procrastination. This indicates that academic procrastination substantially impacts the strength of the correlation between social media addiction and academic achievement. The findings of the undertaking were discussed regarding their implications for institutions and future research.

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“…20,21 Similarly one of the study conducted by Oumaima Alaika et al in 2020 among Moroccan university students represented a negative impact of SNS addiction on their job, relationship or studies, health and well-being. 22 According to a recent study, the peak age for SNS addiction is twenty years old. This was also found true in a study investigated by Aznar et al in 2020.…”

Section: Discussionmentioning

confidence: 99%

Assessment of social media addiction and its link to psychological distress: A comparative study on undergraduate students

Zehra,

Khan,

Rafiq

et al. 2023

PJNS

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Background and objective: Addiction to social networking sites (SNSs) is their unhealthy use that interferes with daily functionality and results in unwanted outcomes. This study investigates the prevalence and intensity as well as the impact of SNSs addiction on the daily routine among young undergraduate students. In addition, it evaluates the relationship between psychological suffering and SNSs addiction. Methods: A cross sectional study was conducted among undergraduate students of Karachi, Pakistan from January to June 2022. Data was collected using non-probability convenience sampling technique. A self-administered questionnaire was used, compiled from two validated questionnaires, Young’s internet addiction (YIA) test and Depression-Anxiety-Stress scale (DASS 21). The SPSS software version 25.0 was used to analyze the collected data. In the 95% confidence interval, statistical analysis was set at a p-value of 0.05 as the threshold for statistical significance. Results: Total 40.7% undergraduate students were found to have no internet addiction, followed by 34.3% mildly, 21.0% moderately and only 4% students severely addicted. Around 28% young undergraduate students were suffering from extremely severe depression (DASS score 28+) followed by 24.0% with moderate (DASS score 14-20), 14.0 % with severe (DASS score 21-27) and 13.7 % with mild depression (DASS score 10-13), while 20.3 % were found not depressed (DASS score 0-9). Mean age of 21 years was found to be consistent for having internet addiction and depression both. Cross study of internet addiction shows highly suggestive behavior with depression (p < 0.01). Conclusion: Social networking sites addiction is found to be a major contributing factor for depression in young undergraduate students. Out of all the aspects of life, education is found to be the most severely affected domain of life among students with SNS addiction.

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Social media addiction among Moroccan university students: a cross sectional survey

Cited by 8 publications

References 0 publications

Heterogeneity of Prevalence of Social Media Addiction Across Multiple Classification Schemes: Latent Profile Analysis

Heterogeneity of Prevalence of Social Media Addiction Across Multiple Classification Schemes: Latent Profile Analysis

Influence of Social Media Addiction on Academic Achievement in Distance Learning: Intervening Role of Academic Procrastination

Assessment of social media addiction and its link to psychological distress: A comparative study on undergraduate students

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