Behavioral Analysis of Adolescent’s Students Addicted to Facebook and Its Impact on Performance and Mental Health

Abstract

The massive use of social media, especially Facebook, has an impact on student’s neurocognitive performance and mental health in Morocco. The purpose of this study is to show the impact of the Facebook addiction, especially with Smartphone on school performance and mental health. On the methodological part a questionnaire was used beside the Bergan Facebook Addiction Scale Test (BFAS) which has been validated in the Arab version with Cronbach's Alpha (α = 0.788), and the Nomophobia Questionnaire (NMP-Q) Arabic version, with a general anxiety test, which are distributed to 541 participants in the middle and the high schools of Kenitra city 55.1% of girls and 44.9% of boys have a mean age of 15.238 years, SD = ± 0.06. The results obtained confirmed by a negative correlation in relationship with the first semester general score and Facebook addiction by the BFAS test, and a significant relationship between the increase in Facebook addiction in parallel with the state of anxiety (P <.001) and Nomophobia (P <.000). We have been able to pick up the negative impact of the social media exposure on the performance and mental health of adolescent students. in order to have a solution from this plague in the future.

Social Media Usage and Development of Psychiatric Disorders in Childhood and Adolescence: A Review

“…This combination of behavioral and cognitive patterns, in the context of social media usage, appears to be mediated by nomophobia, which is described as the fear of not being able to use the mobile phone. Evidence in literature reports a direct association among levels of anxiety, addictive behavior toward social media ( 41 ) and nomophobia, with a negative impact on academic performances ( 51 ).…”

Psychometric Properties of Screening Instruments for Social Network Use Disorder in Children and Adolescents

“…Of the remaining 3591 nonredundant hits, 3288 articles were eliminated after title screening, and 123 studies were removed after reviewing the abstracts. A full-text analysis of the 180 remaining studies classified as potentially eligible resulted in a final inclusion of 29 studies . The most common reason for not matching the eligibility criteria after full-text analysis was not reporting psychometric properties, followed by the sample age.…”

“…The inclusion of 29 studies revealed validation evidence for a total of 19 tools assessing SNUD (eTable 4 in the Supplement). Among these, 4 tools validated by 17 studies describe short versions in terms of the addictive use of Facebook (Bergen Facebook Addiction Scale-Short Form [BFAS-SF]) [31][32][33][34] and the addictive use of SNSs in general (Bergen Social Media Addiction Scale-Short Form [BSMAS-SF]) [35][36][37][38][39][40] ; the Social Media Disorder Scale-Short Form (SMDS-SF) 1,6, [40][41][42][43] ; and Social Networks Addiction-Short Form (SNA-6) 44 , whereas 1 study tested a parental version of the SMDS (SMDS-P) 45 as an external screening tool for its psychometric properties.…”

“…55 The minimum mean (SD) age of the validation sample was 10.4 (1.0) years serving for the validation of the BSMAS-SF 36 (eTable 2 in the Supplement). When grouping all included scales according to how extensively they have been validated, the following questionnaires were the most frequently validated measures of SNUD by the studies included in our review: SMDS (n = 7 studies including the longversion SMDS, 6 SMDS-SF, 1,6,40-43 and SMDS-P 45 ), BSMAS-SF (n = 6 [35][36][37][38][39][40] ), and BFAS (n = 6 including the long-version BFAS, 51 BFAS-SF [31][32][33][34] and the BFAS-Thai 52 ), whereas the other scales exhibit the lowest evidence base due to being validated by only 1 study.…”

“…39 Criterion validity was supported by an association between the scales and variables that are outcomes of SNUD, 14 such as the amount of SNS use being mostly measured as mean time spent on SNSs, with correlations between r = 0.05 1 and r = 0.62 (SMDS-SF), 42 implying heterogenous findings. 9 Besides the SMDS-SF, the BFAS-SF (r = 0.61) 32 and BSMAS-SF (r = 0.58) 37 showed similarly high values concerning duration of SNSs use, whereas some studies examined criterion validity in terms of mean duration of daily internet 31,54 or gaming use. 36 Furthermore, 7 tools were tested for measurement invariance: BFAS-SF (cross-cultural comparison showed a lack of measurement invariance), 34 BSMAS-SF, 36,37,39 PFUS, 53 Problematic QQ Use Scale, 49 SMDS-SF, 41,43 SNA-6, 44 and SNAS.…”