An exploratory study of clinical and physiological correlates of problematic social media use in adolescents
•Problematic social media use in adolescents is a common clinical concern.•This study examined potential risk factors of problematic social media use.•Depression symptom severity was associated with increased risk.•Depressed females may have an increased risk of problematic social media use.•Elevate...
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| Published in | Psychiatry research Vol. 302; p. 114020 |
|---|---|
| Main Authors | , , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Ireland
Elsevier B.V
01.08.2021
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| Online Access | Get full text |
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| Abstract | •Problematic social media use in adolescents is a common clinical concern.•This study examined potential risk factors of problematic social media use.•Depression symptom severity was associated with increased risk.•Depressed females may have an increased risk of problematic social media use.•Elevated cortisol was associated with problematic use in adolescents.
Prior validation studies of the Bergen Social Media Addiction Scale (BSMAS) demonstrate its utility for identifying problematic social media use in adolescents. There are knowledge gaps regarding the potential clinical and physiological underpinnings of problematic social media use in adolescents. This cross-sectional, single-visit study examined a sample of depressed (n = 30) and healthy (n = 30) adolescents who underwent clinical assessments of depressive symptom severity, bullying, cyberbullying, self-esteem, salivary measures of stress (cortisol and α-amylase) to identify correlates with adolescent and parental reports of the BSMAS. LASSO-penalized multiple linear regression models were implemented. With respect to the adolescent BSMAS scores in all subjects, the risk of problematic social media increased as depressive symptom severity increased. Depressed female adolescents appeared to have a greater risk. Based on parental BSMAS scores, depression status, depressive symptom severity, cyberbullying score, and salivary cortisol significantly predicted problematic social media use. For the depressed sample, the risk of problematic social media use increased as salivary cortisol increased. No significant predictors of problematic social media usage emerged in the healthy control sample. These preliminary results provide novel insights into clinical and physiological characteristics of problematic social media use in adolescents. |
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| AbstractList | •Problematic social media use in adolescents is a common clinical concern.•This study examined potential risk factors of problematic social media use.•Depression symptom severity was associated with increased risk.•Depressed females may have an increased risk of problematic social media use.•Elevated cortisol was associated with problematic use in adolescents.
Prior validation studies of the Bergen Social Media Addiction Scale (BSMAS) demonstrate its utility for identifying problematic social media use in adolescents. There are knowledge gaps regarding the potential clinical and physiological underpinnings of problematic social media use in adolescents. This cross-sectional, single-visit study examined a sample of depressed (n = 30) and healthy (n = 30) adolescents who underwent clinical assessments of depressive symptom severity, bullying, cyberbullying, self-esteem, salivary measures of stress (cortisol and α-amylase) to identify correlates with adolescent and parental reports of the BSMAS. LASSO-penalized multiple linear regression models were implemented. With respect to the adolescent BSMAS scores in all subjects, the risk of problematic social media increased as depressive symptom severity increased. Depressed female adolescents appeared to have a greater risk. Based on parental BSMAS scores, depression status, depressive symptom severity, cyberbullying score, and salivary cortisol significantly predicted problematic social media use. For the depressed sample, the risk of problematic social media use increased as salivary cortisol increased. No significant predictors of problematic social media usage emerged in the healthy control sample. These preliminary results provide novel insights into clinical and physiological characteristics of problematic social media use in adolescents. Prior validation studies of the Bergen Social Media Addiction Scale (BSMAS) demonstrate its utility for identifying problematic social media use in adolescents. There are knowledge gaps regarding the potential clinical and physiological underpinnings of problematic social media use in adolescents. This cross-sectional, single-visit study examined a sample of depressed (n=30) and healthy (n=30) adolescents who underwent clinical assessments of depressive symptom severity, bullying, cyberbullying, self-esteem, salivary measures of stress (cortisol and α-amylase) to identify correlates with adolescent and parental reports of the BSMAS. LASSO-penalized multiple linear regression models were implemented. With respect to the adolescent BSMAS scores in all subjects, the risk of problematic social media increased as depressive symptom severity increased. Depressed female adolescents appeared to have a greater risk. Based on parental BSMAS scores, depression status, depressive symptom severity, cyberbullying score, and salivary cortisol significantly predicted problematic social media use. For the depressed sample, the risk of problematic social media use increased as salivary cortisol increased. No significant predictors of problematic social media usage emerged in the healthy control sample. These preliminary results provide novel insights into clinical and physiological characteristics of problematic social media use in adolescents. Prior validation studies of the Bergen Social Media Addiction Scale (BSMAS) demonstrate its utility for identifying problematic social media use in adolescents. There are knowledge gaps regarding the potential clinical and physiological underpinnings of problematic social media use in adolescents. This cross-sectional, single-visit study examined a sample of depressed (n = 30) and healthy (n = 30) adolescents who underwent clinical assessments of depressive symptom severity, bullying, cyberbullying, self-esteem, salivary measures of stress (cortisol and α-amylase) to identify correlates with adolescent and parental reports of the BSMAS. LASSO-penalized multiple linear regression models were implemented. With respect to the adolescent BSMAS scores in all subjects, the risk of problematic social media increased as depressive symptom severity increased. Depressed female adolescents appeared to have a greater risk. Based on parental BSMAS scores, depression status, depressive symptom severity, cyberbullying score, and salivary cortisol significantly predicted problematic social media use. For the depressed sample, the risk of problematic social media use increased as salivary cortisol increased. No significant predictors of problematic social media usage emerged in the healthy control sample. These preliminary results provide novel insights into clinical and physiological characteristics of problematic social media use in adolescents. Prior validation studies of the Bergen Social Media Addiction Scale (BSMAS) demonstrate its utility for identifying problematic social media use in adolescents. There are knowledge gaps regarding the potential clinical and physiological underpinnings of problematic social media use in adolescents. This cross-sectional, single-visit study examined a sample of depressed (n = 30) and healthy (n = 30) adolescents who underwent clinical assessments of depressive symptom severity, bullying, cyberbullying, self-esteem, salivary measures of stress (cortisol and α-amylase) to identify correlates with adolescent and parental reports of the BSMAS. LASSO-penalized multiple linear regression models were implemented. With respect to the adolescent BSMAS scores in all subjects, the risk of problematic social media increased as depressive symptom severity increased. Depressed female adolescents appeared to have a greater risk. Based on parental BSMAS scores, depression status, depressive symptom severity, cyberbullying score, and salivary cortisol significantly predicted problematic social media use. For the depressed sample, the risk of problematic social media use increased as salivary cortisol increased. No significant predictors of problematic social media usage emerged in the healthy control sample. These preliminary results provide novel insights into clinical and physiological characteristics of problematic social media use in adolescents.Prior validation studies of the Bergen Social Media Addiction Scale (BSMAS) demonstrate its utility for identifying problematic social media use in adolescents. There are knowledge gaps regarding the potential clinical and physiological underpinnings of problematic social media use in adolescents. This cross-sectional, single-visit study examined a sample of depressed (n = 30) and healthy (n = 30) adolescents who underwent clinical assessments of depressive symptom severity, bullying, cyberbullying, self-esteem, salivary measures of stress (cortisol and α-amylase) to identify correlates with adolescent and parental reports of the BSMAS. LASSO-penalized multiple linear regression models were implemented. With respect to the adolescent BSMAS scores in all subjects, the risk of problematic social media increased as depressive symptom severity increased. Depressed female adolescents appeared to have a greater risk. Based on parental BSMAS scores, depression status, depressive symptom severity, cyberbullying score, and salivary cortisol significantly predicted problematic social media use. For the depressed sample, the risk of problematic social media use increased as salivary cortisol increased. No significant predictors of problematic social media usage emerged in the healthy control sample. These preliminary results provide novel insights into clinical and physiological characteristics of problematic social media use in adolescents. |
| ArticleNumber | 114020 |
| Author | Croarkin, Paul E. Shafi, Reem M.A. Romanowicz, Magdalena Almorsy, Ammar G. Miller, Keith A. Nakonezny, Paul A. Ligezka, Anna N. Morath, Brooke A. Desai, Jinal |
| AuthorAffiliation | a Department of Psychiatry and Psychology and Mayo Clinic, Rochester, Minnesota, USA d Department of Clinical Genomics, Mayo Clinic, Rochester, Minnesota, USA c Department of Psychiatry and Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, Texas b Cairns and Hinterland Hospital and Health Service, QLD, Australia |
| AuthorAffiliation_xml | – name: a Department of Psychiatry and Psychology and Mayo Clinic, Rochester, Minnesota, USA – name: b Cairns and Hinterland Hospital and Health Service, QLD, Australia – name: c Department of Psychiatry and Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, Texas – name: d Department of Clinical Genomics, Mayo Clinic, Rochester, Minnesota, USA |
| Author_xml | – sequence: 1 givenname: Reem M.A. surname: Shafi fullname: Shafi, Reem M.A. email: Reem.Shafi@health.qld.gov.au organization: Department of Psychiatry and Psychology and Mayo Clinic, Rochester, MN, United States – sequence: 2 givenname: Paul A. surname: Nakonezny fullname: Nakonezny, Paul A. organization: Department of Psychiatry and Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, United States – sequence: 3 givenname: Keith A. surname: Miller fullname: Miller, Keith A. organization: Department of Psychiatry and Psychology and Mayo Clinic, Rochester, MN, United States – sequence: 4 givenname: Jinal surname: Desai fullname: Desai, Jinal organization: Department of Psychiatry and Psychology and Mayo Clinic, Rochester, MN, United States – sequence: 5 givenname: Ammar G. orcidid: 0000-0002-4660-8754 surname: Almorsy fullname: Almorsy, Ammar G. organization: Department of Psychiatry and Psychology and Mayo Clinic, Rochester, MN, United States – sequence: 6 givenname: Anna N. surname: Ligezka fullname: Ligezka, Anna N. organization: Department of Clinical Genomics, Mayo Clinic, Rochester, Minnesota, United States – sequence: 7 givenname: Brooke A. surname: Morath fullname: Morath, Brooke A. organization: Department of Psychiatry and Psychology and Mayo Clinic, Rochester, MN, United States – sequence: 8 givenname: Magdalena surname: Romanowicz fullname: Romanowicz, Magdalena organization: Department of Psychiatry and Psychology and Mayo Clinic, Rochester, MN, United States – sequence: 9 givenname: Paul E. orcidid: 0000-0001-6843-6503 surname: Croarkin fullname: Croarkin, Paul E. email: croarkin.paul@mayo.edu organization: Department of Psychiatry and Psychology and Mayo Clinic, Rochester, MN, United States |
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| Keywords | MINI-KID Social media BSMAS QIDS-A17-SR Cortisol RESES MDD Problematic social media use α-amylase Addiction Adolescent SMU QIDS-A17-C |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Dr Croarkin has received research grant support from Pfizer, Inc; equipment support from Neuronetics, Inc. He has received supplies and genotyping services from Assurex Health, Inc for investigator-initiated studies. He has received equipment support from Neuronetics, Inc and MagVenture, Inc for investigator-initiated studies. He was the primary investigator for a multicenter study funded by Neuronetics, Inc and a site primary investigator for a study funded by NeoSync, Inc. Dr Croarkin has served as a consultant for Procter & Gamble Company, Myriad Neuroscience, Sunovion, and Engrail Therapeutics. The other authors report no financial relationships with commercial interests. Reem M.A. Shafi: Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project Administration, Writing-original draft, Writing-review and editing. Paul A. Nakonezny: Conceptualization, Formal Analysis, Supervision, Writing-original draft, Writing-review and editing. CRediT authorship contribution statement Keith A. Miller: Conceptualization, Data curation, Investigation, Methodology, Writing-review and editing. Jinal Desai: Conceptualization, Data curation, Investigation, Methodology, Writing-review and editing. Ammar G. Almorsy: Conceptualization, Data curation, Investigation, Methodology, Writing-review and editing. Anna N. Ligezka: Conceptualization, Data curation, Investigation, Methodology, Writing-review and editing. Brooke A. Morath: Data curation, Investigation, Methodology, Writing-review and editing. Magdalena Romanowicz: Conceptualization, Project Administration, Supervision, Writing-original draft, Writing-review and editing. Paul E. Croarkin: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project Administration, Supervision, Writing-original draft, Writing, review and editing. Authors Disclosure Statement |
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| Snippet | •Problematic social media use in adolescents is a common clinical concern.•This study examined potential risk factors of problematic social media... Prior validation studies of the Bergen Social Media Addiction Scale (BSMAS) demonstrate its utility for identifying problematic social media use in... |
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| SubjectTerms | Addiction Adolescent Cortisol Cross-Sectional Studies Female Humans Hydrocortisone Internet Addiction Disorder Problematic social media use Self Concept Social Media α-amylase |
| Title | An exploratory study of clinical and physiological correlates of problematic social media use in adolescents |
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