Study of brain derived neurotrophic factor and cognition in mobile addicts: an observational study

Authors

  • Ruchita S. Chilka Department of Neurology Physiotherapy, KLE Institute of Physiotherapy, Belagavi, Karnataka, India
  • Jeba Chitra Department of Neurology Physiotherapy, KLE Institute of Physiotherapy, Belagavi, Karnataka, India
  • Rubeen D. Nadaf Dr. Prabhakar Kore Basic Science Research Centre, Belagavi, Karnataka, India

DOI:

https://doi.org/10.18203/2320-6012.ijrms20251640

Keywords:

Brain derived neurotrophic factor, BDNF, Cognition, Mobile addiction, Smartphone addiction

Abstract

Background: Smartphones are the most popular devices and most used devices which leads to uncontrolled use or addiction. Neuroplasticity is the ability of the central nervous system to modify its structure and functions as reaction to internal and external stimuli which can be measured by levels of brain derived neurotrophic factor (BDNF). Excessive smartphone uses results in negative impacts on cognition. Thus, this study aims to understand the process of neuroplasticity and cognition by studying the levels of serum BDNF in Mobile Addicts.

Methods: This observational study included 48 participants divided into two groups 1) mobile addicts (n=24) and 2) non-mobile addicts (n=24). We assessed levels of BDNF using blood test and Cognition by using a game-based app in each of the participants. We analyzed the results of the BDNF test and the Cognition test and compared the results between the two groups.

Results: In the conducted study, a comparison among mobile and non-mobile addicts showed no statistical significance in BDNF levels and Cognition scores with p value 0.4897 and 0.04897 respectively.

Conclusion: The study concludes that there is no difference in the process of neuroplasticity and cognition occurring in the brains of age and gender matched Mobile addicts and non-mobile addicts.

Metrics

Metrics Loading ...

References

Puderbaugh M, Emmady PD. Neuroplasticity. In: StatPearls. Treasure Island (FL): StatPearls. Available at: http://www.ncbi.nlm.nih.gov/books; 2002.

Naegelin Y, Dingsdale H, Säuberli K, Schädelin S, Kappos L, Barde YA. Measuring and Validating the Levels of Brain-Derived Neurotrophic Factor in Human Serum. Neuro. 2018;5(2):419. DOI: https://doi.org/10.1523/ENEURO.0419-17.2018

Wlodarczyk L, Szelenberger R, Cichon N, Saluk-Bijak J, Bijak M, Miller E. Biomarkers of Angiogenesis and Neuroplasticity as Promising Clinical Tools for Stroke Recovery Evaluation. Int J Mol Sci. 2021;22(8):3949. DOI: https://doi.org/10.3390/ijms22083949

Dou SH, Cui Y, Huang SM, Zhang B. The role of brain-derived neurotrophic factor signalling in central nervous system disease pathogenesis. Front Hum Neurosci. 2022;16:924155. DOI: https://doi.org/10.3389/fnhum.2022.924155

Chan KL, Tong KY, Yip SP. Relationship of serum brain-derived neurotrophic factor (BDNF) and health-related lifestyle in healthy human subjects. Neurosci Lett. 2008;447(3):124–8. DOI: https://doi.org/10.1016/j.neulet.2008.10.013

Håkansson K, Ledreux A, Daffner K, Terjestam Y, Bergman P, Carlsson R, et al. BDNF Responses in Healthy Older Persons to 35 Minutes of Physical Exercis Cognitive Training, and Mindfulness: Associations with Working Memory Function J Alzheimers Dis JAD. 2017;55(2):645–57. DOI: https://doi.org/10.3233/JAD-160593

Reid LB, Pagnozzi AM, Fiori S, Boyd RN, Dowson N, Rose SE. Measuring neuroplasticity associated with cerebral palsy rehabilitation: An MRI based power analysis. Int J Dev Neurosci Off J Int Soc Dev Neurosci. 2017;58:17–25. DOI: https://doi.org/10.1016/j.ijdevneu.2017.01.010

Vezzoli M, Colombo A, Marano A, Zoccatelli G, Zogmaister C. Test for Mobile phone dependence: psychometric properties and confirmatory factor analysis Psychol. 2023;42(1):714–25.

Gangadharan N, Borle AL, Basu S. Mobile phone addiction as an emerging behavioral form of addiction among adolescents in India. Cureus. 2021;14(4):23798. DOI: https://doi.org/10.7759/cureus.23798

Wilmer HH, Sherman LE, Chein JM. Smartphones and cognition: a review of research exploring the links between mobile technology habits and cognitive functioning. Front Psychol. 2017;8:605. DOI: https://doi.org/10.3389/fpsyg.2017.00605

Davey S, Davey A. Assessment of Smartphone Addiction in Indian Adolescents: A Mixed Method Study by Systematic-review and Meta-analysis Approach. Int J Prev Med. 2014;5(12):1500–11.

Ratan ZA, Parrish AM, Zaman SB, Alotaibi MS, Hosseinzadeh H. Smartphone addiction and associated health outcomes in adult populations: a systematic review. Int J Environ Res Public Health. 2021;18(22):12257.

Vezzoli M, Colombo A, Marano A, Zoccatelli G, Zogmaister C. Test for Mobile phone dependence: psychometric properties and confirmatory factor analysis. Current Psychol. 2021;13:1-2. DOI: https://doi.org/10.1007/s12144-021-01449-5

Mahajan A, Gokhale PD. Core Strengthening Exercises for Improving Static and Dynamic Sitting Balance in Persons with Spinal Cord Injury: A Pilot Study. J Soc Indian Physiotherap. 2025:10-4103. DOI: https://doi.org/10.4103/jsip.jsip_93_24

León Méndez M, Padrón I, Fumero A, Marrero RJ. Effects of internet and smartphone addiction on cognitive control in adolescents and young adults: A systematic review of fMRI studies. Neurosci Biobehav Rev. 2024;159:105572. DOI: https://doi.org/10.1016/j.neubiorev.2024.105572

Teixeira AL, Barbosa IG, Diniz BS, Kummer A. Circulating levels of brain- derived neurotrophic factor: correlation with mood, cognition and motor function. Biomark Med. 2010;4(6):871–87. DOI: https://doi.org/10.2217/bmm.10.111

Chen B, Liu F, Ding S, Ying X, Wang L, Wen Y. Gender differences in factors associated with smartphone addiction: a cross-sectional study among medical college students. BMC Psych. 2017;17(1):341. DOI: https://doi.org/10.1186/s12888-017-1503-z

Lommatzsch M, Zingler D, Schuhbaeck K, Schloetcke K, Zingler C, Schuff-Werner P, et al. The impact of age, weight and gender on BDNF levels in human platelets and plasma. Neurobiol Aging. 2005;26(1):115–23. DOI: https://doi.org/10.1016/j.neurobiolaging.2004.03.002

Kwon M, Kim DJ, Cho H, Yang S. The smartphone addiction scale: development and validation of a short version for adolescents. PLoS One. 2013;8(12):83558. DOI: https://doi.org/10.1371/journal.pone.0083558

Bathina S, Das UN. Brain-derived neurotrophic factor and its clinical implications. Arch Med Sci. 2015;11(6):1164–78. DOI: https://doi.org/10.5114/aoms.2015.56342

Yue H, Yue X, Liu B, Li X, Dong Y, Bao H. Short version of the smartphone addiction scale: Measurement invariance across gender. PLOS ONE. 2023;18(3):283256. DOI: https://doi.org/10.1371/journal.pone.0283256

Salthouse TA. When does age-related cognitive decline begin. Neurobiol Aging. 2009;30(4):507–14. DOI: https://doi.org/10.1016/j.neurobiolaging.2008.09.023

Colucci-D’Amato L, Speranza L, Volpicelli F. Neurotrophic factor BDNF, physiological functions and therapeutic potential in depression, neurodegeneration and brain cancer. IJMS. 2020;21(20):7777. DOI: https://doi.org/10.3390/ijms21207777

Miranda M, Morici JF, Zanoni MB, Bekinschtein P. Brain-derived neurotrophic factor: a key molecule for memory in the healthy and the pathological brain. Front Cell Neurosci. 2019;13:363. DOI: https://doi.org/10.3389/fncel.2019.00363

Buchman AS, Yu L, Boyle PA, Schneider JA, De Jager PL, Bennett DA. Higher brain BDNF gene expression is associated with slower cognitive decline in older adults. Neurol. 2016;86(8):735-41. DOI: https://doi.org/10.1212/WNL.0000000000002387

Zhang Y, Shang S, Tian L, Zhu L, Zhang W. The association between fear of missing out and mobile phone addiction: a meta-analysis. BMC Psychol. 2023;11(1):338. DOI: https://doi.org/10.1186/s40359-023-01376-z

Ratan ZA, Parrish AM, Zaman SB, Alotaibi MS, Hosseinzadeh H. Smartphone addiction and associated health outcomes in adult populations: a systematic review. Int J Environ Res Public Health. 2021;18(22):12257. DOI: https://doi.org/10.3390/ijerph182212257

Chakrapani S, Eskander N, De Los Santos LA, Omisore BA, Mostafa JA. Neuroplasticity and the Biological Role of Brain Derived Neurotrophic Factor in the Pathophysiology and Management of Depression. Cureus. 202112(11):11396.

Erickson KI, Prakash RS, Voss MW, Chaddock L, Heo S, McLaren M, Pence BD, Martin SA, Vieira VJ, Woods JA, McAuley E. Brain-derived neurotrophic factor is associated with age-related decline in hippocampal volume. J Neurosci. 2010;30(15):5368-75. DOI: https://doi.org/10.1523/JNEUROSCI.6251-09.2010

Murman DL. The impact of age on cognition. Semin Hear. 2015;36(3):111–21 DOI: https://doi.org/10.1055/s-0035-1555115

Thomas S, Benke G, Dimitriadis C, Inyang I, Sim MR, Wolfe R, Croft RJ, Abramson MJ. Use of mobile phones and changes in cognitive function in adolescents. Occup Environ Med. 2010;67(12):861-6. DOI: https://doi.org/10.1136/oem.2009.054080

Downloads

Published

2025-05-30

How to Cite

Chilka, R. S., Chitra, J., & Nadaf, R. D. (2025). Study of brain derived neurotrophic factor and cognition in mobile addicts: an observational study. International Journal of Research in Medical Sciences, 13(6), 2487–2492. https://doi.org/10.18203/2320-6012.ijrms20251640

Issue

Section

Original Research Articles