Distress Among Adolescents: An Exploration of Mattering, Social Media Addiction, and School Connectedness

Watson, Joshua C.; Prosek, Elizabeth A.; Giordano, Amanda L.

doi:10.1177/07342829211050536

Cited by 23 publications

(16 citation statements)

References 29 publications

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“…With regard to convergent validity, a significant positive correlation between different measures of SNUD reflecting the same underlying construct, 40 the SMDS 6 showed the highest score (r = 0.94 with the SMDS-SF). The other tools showed convergent validity scores between r = 0.44 (BSMAS with SMDS-SF) 40 and r = 0.79 (Problematic Facebook Use Scale [PFUS]) with the BFAS-SF).…”

Section: Main Findings Of the Included Studiesmentioning

confidence: 98%

“…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.…”

Section: Main Findings Of the Included Studiesmentioning

confidence: 99%

“…Current SNUD instruments were validated in a range of countries, namely Asia (n = 14 studies: Turkey, 1,42,46-48 China, 36,38,49,50 Iran, 37,51 Morocco, 32 Thailand, 52 and Tunisia 31 ) followed by Europe (n = 10 studies: Italy, 39,53 Portugal, 33,54 Germany, 45,55 Hungary, 35 Netherlands, 6,41 and Poland 56 ) and North and South America (n = 3 studies: Mexico, 44 Peru, 57 and the US 40 ). Of the scales being adapted to other languages, a total of 10 studies used appropriate procedures, ie, translation-back-translation (BFAS, 51 BFAS-SF, 33 BFAS-Thailand version [BFAS-Thai], 52 BSMAS-SF, [35][36][37] Generalized Problematic Internet Use Scale 2, 54 and SMDS-SF 1, 42,43 ).…”

Section: Main Findings Of the Included Studiesmentioning

confidence: 99%

“…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.…”

Section: Main Findings Of the Included Studiesmentioning

confidence: 99%

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

et al. 2023

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ImportanceChildren and adolescents spend considerable time on the internet, which makes them a highly vulnerable group for the development of problematic usage patterns. A variety of screening methods have already been developed and validated for social network use disorder (SNUD); however, a systematic review of SNUD in younger age groups has not been performed.ObjectiveTo review published reports on screening tools assessing SNUD in children and adolescents with a maximum mean age of 18.9 years.Evidence ReviewTo identify instruments for the assessment of SNUD, a systematic literature search was conducted in the databases PsycINFO, PubMed, Web of Science, PsycArticles, and Scopus. The final search took place on May 2, 2022. Psychometric properties of available tools were examined and evaluated to derive recommendations for suitable instruments for individuals up to 18 years of age.FindingsA total of 5746 publications were identified, of which 2155 were excluded as duplicates. Of the remaining 3591 nonredundant publications, 3411 studies were assessed as not relevant after title and abstract screening. A full-text analysis of 180 remaining studies classified as potentially eligible resulted in a final inclusion of 29 studies revealing validation evidence for a total of 19 tools. The study quality was mostly moderate. With regard to validation frequency, 3 tools exhibited the largest evidence base: Social Media Disorder Scale (SMDS), the short version of the Bergen Facebook Addiction Scale, and Bergen Social Media Addiction Scale–Short Form (BSMAS-SF). Among these, 1 study tested a parental version (SMDS-P) for its psychometric properties. Taking all criteria into account, the strongest recommendation was made for the SMDS and BSMAS-SF.Conclusions and RelevanceResults suggest that the SMDS-SF and BSMAS-SF were appropriate screening measures for SNUD. Advantages of the SMDS are the availability of a short version and the possibility of an external parental rating.

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Section: Main Findings Of the Included Studiesmentioning

confidence: 98%

Section: Main Findings Of the Included Studiesmentioning

confidence: 99%

Section: Main Findings Of the Included Studiesmentioning

confidence: 99%

Section: Main Findings Of the Included Studiesmentioning

confidence: 99%

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

et al. 2023

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“…However, there are also concerns that increased screen time may have a detrimental effect on their mental health. Research on this has produced mixed results; for example, a study by Watson et al, (2022) involving 441 adolescents identified a statistically significant link between excessive use of social media and anxiety, while a systematic review identified a general correlation between social media use and mental health issues (Keles et al, 2020). In contrast, an umbrella review that included seven meta-analysis, nine systematic and nine narrative reviews identified that five of the meta-analysis revealed an association between social network sites and higher levels of ill-being, with the systematic and narrative reviews identifying the effects of social media use on mental illness to be small and inconsistent across the different studies (Valkenburg et al, 2022).…”

Section: Objectives Actionsmentioning

confidence: 99%

Promoting young people’s mental health: the role of community nurses

Heaslip¹,

Glendening²,

Snowden³

2022

Nursing Standard

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There are increasing concerns about the mental health and well-being of young people, including how this has been negatively affected by the coronavirus disease 2019 (COVID-19) pandemic and social media. Community nurses are in an ideal position to promote positive mental health and ensure timely referral to appropriate services to ensure that young people can access the support they need. This article explores how the pandemic and social media have affected young people's mental health, particularly in relation to anxiety. It also explains how nurses can discuss these issues with young people and their parents or guardians about mental health and social media. Keywords adolescents, anxiety, child and adolescent mental health, child health, communication, mental health, mental health therapies, professional, psychosocial interventions, social media Aims and intended learning outcomesThe aim of this article is to enable nurses to consider the effects that social media can have on anxiety levels in young people and to assist nurses in promoting mental health among this population. There are various definitions of what constitutes 'young people', but in the context of this article it refers to those aged up to 18 years. After reading this article and completing the time out activities you should be able to:1 | P a g e • Explain the difference between mental health and a mental illness or disorder.• Recognise why the coronavirus disease 2019 (COVID-19) and increased social media use have led to concerns about the mental health of young people.• Understand the nurse's role in promoting mental health and well-being.• Feel confident in having conversations with young people about mental health and referring them to appropriate support services.

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How Mattering and Anti‐Mattering Experiences Across Offline and Online Environments Contribute to People's Digital Life Balance and Social Media Addiction

Duradoni,

Severino,

Bellotti

et al. 2024

Community & Applied Soc Psy

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In today's world, internet use has been evaluated as a factor that tremendously affects people's lives. More recently, evidence has been presented on the role that social‐level factors play in determining the dysfunctional use of new technologies, such as the need for social recognition. This study examines the concept of ‘mattering’ and its counterpart ‘anti‐mattering’ to understand how offline and online social experiences, along with need satisfaction, influence digital life balance and social media addiction. Three hundred participants (78.3% women; Mage = 24.92 years, SD = 7.49) participated in the data collection. This cross‐sectional explorative study revealed that people Satisfied Online (i.e., subjects who satisfy their need to be important only online) are more likely to develop social media addiction and an imbalance between offline and online life than those who are Fully Satisfied, Fully Unsatisfied, and Satisfied Offline based on correlation and ANOVA analyses. In conclusion, the results of this study support the idea that the human need for social connection and social recognition are critical in shaping our relationship with emerging communication technologies, both toward functional and dysfunctional use.

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Distress Among Adolescents: An Exploration of Mattering, Social Media Addiction, and School Connectedness

Cited by 23 publications

References 29 publications

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

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

Promoting young people’s mental health: the role of community nurses

How Mattering and Anti‐Mattering Experiences Across Offline and Online Environments Contribute to People's Digital Life Balance and Social Media Addiction

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