IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i23p16277-d994256.html
   My bibliography  Save this article

Structural and Functional Neural Correlates in Individuals with Excessive Smartphone Use: A Systematic Review and Meta-Analysis

Author

Listed:
  • Hsiu-Man Lin

    (Division of Child and Adolescent Psychiatry & Division of Developmental and Behavioral Pediatrics, China Medical University Children’s Hospital, Taichung 404327, Taiwan
    These authors contributed equally to this work.)

  • Yu-Tzu Chang

    (School of Post Baccalaureate Chinese Medicine, China Medical University, Taichung 406040, Taiwan
    Division of Pediatric Neurology, China Medical University Children’s Hospital, Taichung 404327, Taiwan
    These authors contributed equally to this work.)

  • Meng-Hsiang Chen

    (Department of Diagnostic Radiology, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 83301, Taiwan
    College of Medicine, Chang Gung University, Kaohsiung 83300, Taiwan)

  • Shu-Tsen Liu

    (Division of Child and Adolescent Psychiatry & Division of Developmental and Behavioral Pediatrics, China Medical University Children’s Hospital, Taichung 404327, Taiwan)

  • Bo-Shen Chen

    (Department of Psychology, College of Medical and Health Science, Asia University, Taichung 41354, Taiwan)

  • Lin Li

    (Department of Psychology, College of Medical and Health Science, Asia University, Taichung 41354, Taiwan)

  • Chiao-Yu Lee

    (Department of Psychology, College of Medical and Health Science, Asia University, Taichung 41354, Taiwan)

  • Yu-Ru Sue

    (Department of Psychology, College of Medical and Health Science, Asia University, Taichung 41354, Taiwan)

  • Tsai-Mei Sung

    (Department of Psychology, College of Medical and Health Science, Asia University, Taichung 41354, Taiwan)

  • Cheuk-Kwan Sun

    (Department of Emergency Medicine, E-Da Hospital, I-Shou University, Kaohsiung 824005, Taiwan
    School of Medicine for International Students, I-Shou University, Kaohsiung 82445, Taiwan)

  • Pin-Yang Yeh

    (Department of Psychology, College of Medical and Health Science, Asia University, Taichung 41354, Taiwan
    Clinical Psychology Center, Asia University Hospital, Taichung 41354, Taiwan)

Abstract

Background: Despite known association of internet addiction with a reduced brain volume and abnormal connectivity, the impact of excessive smartphone use remains unclear. Methods: PubMed, Embase, ClinicalTrial.gov, and Web of Science databases were systematically searched from inception to July 2022 using appropriate keywords for observational studies comparing differences in brain volumes and activations between excessive smartphone users and individuals with regular use by magnetic resonance imaging. Results: Of the 11 eligible studies retrieved from 6993 articles initially screened, seven and six evaluated brain volumes and activations, respectively. The former enrolled 421 participants (165 excessive smartphone users vs. 256 controls), while the latter recruited 276 subjects with 139 excessive smartphone users. The results demonstrated a smaller brain volume in excessive smartphone users compared to the controls ( g = −0.55, p < 0.001), especially in subcortical regions ( p < 0.001). Besides, the impact was more pronounced in adolescents than in adults ( p < 0.001). Regression analysis revealed a significant positive association between impulsivity and volume reduction. Regarding altered activations, the convergences of foci in the declive of the posterior lobe of cerebellum, the lingual gyrus, and the middle frontal gyrus were noted. Conclusions: Our findings demonstrated a potential association of excessive smartphone use with a reduced brain volume and altered activations.

Suggested Citation

  • Hsiu-Man Lin & Yu-Tzu Chang & Meng-Hsiang Chen & Shu-Tsen Liu & Bo-Shen Chen & Lin Li & Chiao-Yu Lee & Yu-Ru Sue & Tsai-Mei Sung & Cheuk-Kwan Sun & Pin-Yang Yeh, 2022. "Structural and Functional Neural Correlates in Individuals with Excessive Smartphone Use: A Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 19(23), pages 1-15, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:16277-:d:994256
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/23/16277/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/23/16277/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sue Duval & Richard Tweedie, 2000. "Trim and Fill: A Simple Funnel-Plot–Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis," Biometrics, The International Biometric Society, vol. 56(2), pages 455-463, June.
    2. Zubair Ahmed Ratan & Anne-Maree Parrish & Sojib Bin Zaman & Mohammad Saud Alotaibi & Hassan Hosseinzadeh, 2021. "Smartphone Addiction and Associated Health Outcomes in Adult Populations: A Systematic Review," IJERPH, MDPI, vol. 18(22), pages 1-17, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Maria Lidia Mascia & Mirian Agus & Łukasz Tomczyk & Natale Salvatore Bonfiglio & Diego Bellini & Maria Pietronilla Penna, 2023. "Smartphone Distraction: Italian Validation of the Smartphone Distraction Scale (SDS)," IJERPH, MDPI, vol. 20(15), pages 1-15, August.
    2. Ioana A Cristea & Claudio Gentili & Pietro Pietrini & Pim Cuijpers, 2017. "Is investigator background related to outcome in head to head trials of psychotherapy and pharmacotherapy for adult depression? A systematic review and meta-analysis," PLOS ONE, Public Library of Science, vol. 12(2), pages 1-18, February.
    3. Qian Li & Yan Chen & Shikun Sun & Muyuan Zhu & Jing Xue & Zihan Gao & Jinfeng Zhao & Yihe Tang, 2022. "Research on Crop Irrigation Schedules Under Deficit Irrigation—A Meta-analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(12), pages 4799-4817, September.
    4. Bart Verkuil & Serpil Atasayi & Marc L Molendijk, 2015. "Workplace Bullying and Mental Health: A Meta-Analysis on Cross-Sectional and Longitudinal Data," PLOS ONE, Public Library of Science, vol. 10(8), pages 1-16, August.
    5. Damiano Pizzol & Mike Trott & Igor Grabovac & Mario Antunes & Anna Claudia Colangelo & Simona Ippoliti & Cristian Petre Ilie & Anne Carrie & Nicola Veronese & Lee Smith, 2021. "Laparoscopy in Low-Income Countries: 10-Year Experience and Systematic Literature Review," IJERPH, MDPI, vol. 18(11), pages 1-11, May.
    6. Ünal, Zehra E. & Kartal, Gamze & Ulusoy, Serra & Ala, Aslı M. & Yilmaz, Munube & Geary, David C., 2023. "Relative contributions of g and basic domain-specific mathematics skills to complex mathematics competencies," Intelligence, Elsevier, vol. 101(C).
    7. Viktoria Maria Baumeister & Leonie Petra Kuen & Maike Bruckes & Gerhard Schewe, 2021. "The Relationship of Work-Related ICT Use With Well-being, Incorporating the Role of Resources and Demands: A Meta-Analysis," SAGE Open, , vol. 11(4), pages 21582440211, November.
    8. Gundula Krack, 2019. "How to make value-based health insurance designs more effective? A systematic review and meta-analysis," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(6), pages 841-856, August.
    9. Chuang Yuan & Jing Wang & Michael Ying, 2016. "Predictive Value of Carotid Distensibility Coefficient for Cardiovascular Diseases and All-Cause Mortality: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-15, April.
    10. Francisco Javier Blanco-Encomienda & Rocío García-Cantero & María José Latorre-Medina, 2020. "Association between Work-Related Rumination, Work Environment and Employee Well-Being: A Meta-Analytic Study of Main and Moderator Effects," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(3), pages 887-910, August.
    11. Pedro L. Cosio & Manuel Crespo-Posadas & Álvaro Velarde-Sotres & Mireia Pelaez, 2021. "Effect of Chronic Resistance Training on Circulating Irisin: Systematic Review and Meta-Analysis of Randomized Controlled Trials," IJERPH, MDPI, vol. 18(5), pages 1-16, March.
    12. Augusteijn, Hilde Elisabeth Maria & van Aert, Robbie Cornelis Maria & van Assen, Marcel A. L. M., 2021. "Posterior Probabilities of Effect Sizes and Heterogeneity in Meta-Analysis: An Intuitive Approach of Dealing with Publication Bias," OSF Preprints avkgj, Center for Open Science.
    13. Georgiou, George K. & Guo, Kan & Naveenkumar, Nithya & Vieira, Ana Paula Alves & Das, J.P., 2020. "PASS theory of intelligence and academic achievement: A meta-analytic review," Intelligence, Elsevier, vol. 79(C).
    14. Liliana R Demenescu & Rudie Kortekaas & Johan A den Boer & André Aleman, 2010. "Impaired Attribution of Emotion to Facial Expressions in Anxiety and Major Depression," PLOS ONE, Public Library of Science, vol. 5(12), pages 1-5, December.
    15. Lohwasser, Todor S., 2020. "Meta-analyzing the relative performance of venture capital-backed firms," Discussion Papers of the Institute for Organisational Economics 4/2020, University of Münster, Institute for Organisational Economics.
    16. Nelson, Jon Paul, 2020. "Fixed-effect versus random-effects meta-analysis in economics: A study of pass-through rates for alcohol beverage excise taxes," Economics Discussion Papers 2020-1, Kiel Institute for the World Economy (IfW Kiel).
    17. Michael Wolfowicz & Yael Litmanovitz & David Weisburd & Badi Hasisi, 2021. "Cognitive and behavioral radicalization: A systematic review of the putative risk and protective factors," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(3), September.
    18. Ruxiu Tie & Tiansong Zhang & Huarui Fu & Limengmeng Wang & Yebo Wang & Ying He & Binsheng Wang & Ni Zhu & Shan Fu & Xiaoyu Lai & Jimin Shi & He Huang, 2014. "Association between DNMT3A Mutations and Prognosis of Adults with De Novo Acute Myeloid Leukemia: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-11, June.
    19. Lianjie Liu & Zhuo Shao & Hang Yu & Wei Zhang & Hao Wang & Zubing Mei, 2020. "Is the platelet to lymphocyte ratio a promising biomarker to distinguish acute appendicitis? Evidence from a systematic review with meta-analysis," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-15, May.
    20. Maurizio Canavari & Andreas C. Drichoutis & Jayson L. Lusk & Rodolfo M. Nayga, Jr., 2018. "How to run an experimental auction: A review of recent advances," Working Papers 2018-5, Agricultural University of Athens, Department Of Agricultural Economics.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:23:p:16277-:d:994256. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.