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The effect of smartphone addiction on vessel wall thickness, which is a predictor of atherosclerosis

Published online by Cambridge University Press:  11 August 2023

Ibrahim Emre Erden Open the ORCID record for Ibrahim Emre Erden [Opens in a new window]  and
Gökhan Bektaşoğlu
Ibrahim Emre Erden*
Affiliation:
Enka Adapazarı High School 11th Grade Student, Sakarya, Turkey
Gökhan Bektaşoğlu
Affiliation:
Department of Cardiology, Atlas University Medical Faculty Medicine Hospital, Istanbul, Turkey
*
Corresponding author: I. E. Erden; Email: emreibram2006@gmail.com
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Abstract

Aim:

The increasing global popularity of smartphone usage has increased concerns about the negative effects of smartphone addiction, such as lack of sleep, sedentary life, bad eating habits, anxiety, stress, and depression, especially among the young population. These problems caused by smartphone addiction are also well-known risk factors for atherosclerosis. However, according to our observation, there is no research in the literature that directly shows the relationship between smartphone addiction and subclinical atherosclerosis. In this study, carotid intima-media thickness, an important surrogate marker in demonstrating subclinical atherosclerosis, was used to examine the relationship between smartphone addiction and subclinical atherosclerosis.

Materials and method:

This cross-sectional study was conducted on 96 high school students aged between 13 and 22 years. A smartphone addiction questionnaire consisting of 33 questions was applied to measure smartphone addiction. Along with the socio-demographic characteristics of the patients, factors such as eating habits, sleep patterns, and activity levels were also questioned. The mean carotid intima-media thickness was measured by an experienced sonographer according to the published and accepted methods.

Results:

When we set the threshold for smartphone addiction at over 66 points, we discovered that the group with smartphone addiction had considerably thicker carotid intima-media (0.68 ± 0.2 versus 0.45 ± 0.1; p < 0.001). In addition, logistics regression analysis had shown that smartphone addiction level independently affects the carotid intima-media thickness (odds ratio:1.111; %95 GA:1.057–1.168, p < 0.001).

Conclusion:

Smartphone addiction may help prediction of subclinical atherosclerosis via carotid intima-media thickness among teenagers.

Keywords

Smartphone addictionatherosclerosiscarotid intima-media thickness
Type
Original Article
Information
Cardiology in the Young , Volume 34 , Issue 3 , March 2024 , pp. 559 - 562
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Copyright
© The Author(s), 2023. Published by Cambridge University Press

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References

Mihajlov, M. Vejmelka L internet addiction: a review of the first twenty years. Psychiatr Danubina 2017; 29: 260–272.Google Scholar
Choi, S-W, Kim, D-J, Choi, J-S, et al. Comparison of risk and protective factors associated with smartphone addiction and internet addiction. J Behav Addict 2015; 4: 308–314.Google Scholar
Demirci, K, Orhan, H, Demirdaş, A, et al. Validity and reliability of the turkish version of the smartphone addiction scale in a younger population. Bull Clin Psychopharmacol 2014; 24: 226–234.Google Scholar
Alavi, SS, Ghanizadeh, Maryam, Malihe. Farahani, etal, addictive use of smartphones and mental disorders in university students. Iran J Psychiatry 2020; 15: 96–104.Google Scholar
Billieux, J, Van Der Linden, M, Rochat, L. The role of impulsivity in actual and problematic use of the mobile phone. Appl Cogn Psychol 2008; 22: 1195–1210.Google Scholar
Giota, K, Kleftaras, G. The role of personality and depression in problematic use of social networking sites in Greece. Cyberpsychology 2013; 7: 6–10.Google Scholar
Boumosleh, JM, Jaalouk, D. Depression, anxiety, and smartphone addiction in university students- a cross-sectional study. PLos ONE 2017; 12: e0182239.Google Scholar
De-Sola Gutiérrez, J, de Fonseca, FR, Rubio, G. Cell-phone addiction: a review. Front Psychiatry 2016; 24; 7: 175.Google Scholar
Sahin, S, Ozdemir, K, Unsal, A, et al. Evaluation of mobile phone addiction level and sleep quality in university students. Pak J Med Sci 2013; 29: 913–918.Google Scholar
Tayhan Kartal, F, Yabancı Ayhan, N. Relationship between eating disorders and internet and smartphone addiction in college students. Eat Weight Disord 2021; 26: 1853–1862.Google Scholar
Zagalaz-Sánchez, ML, Cachón-Zagalaz, J, Sánchez-Zafra, M, et al. Mini review of the use of the mobile phone and its repercussion in the deficit of physical activity. Front Psychol 2019; 10: 1307.Google Scholar
Raitakari, OT, Juonala, M, Kahonen, M, et al. Cardiovascular risk factors in childhood and carotid artery intima-media thickness in adulthood: the cardiovascular risk in young finns study. JAMA 2003; 290: 2277–2283.Google Scholar
Nambi, V, Pedroza, C, Kao, LS. Carotid intima-media thickness and cardiovascular events. Lancet 2012; 379: 2028–2050.Google Scholar
Zou, Y, Xia, Ning, Yunqing, Zou, et al. Smartphone addiction may be associated with adolescent hypertension: a cross-sectional study among junior school students in China. BMC Pediatr 2019; 19: 310.Google Scholar
Kwon, M, Lee, J-Y, Won, W-Y, et al. Development and validation of a smartphone addiction scale (SAS). PLoS ONE 2013; 8: 56–59.Google Scholar
Garner, DM, Olmsted, MP, Bohr, Y. The eating attitudes test: psychometric features and clinical correlates. Psychol Med 1982; 12: 871–878.Google Scholar
Erol, N, Savasir, I. Eating attitude test: an index of anorexia nervosa symptoms. Turk J Psychol 1989; 23: 132–136.Google Scholar
Turkish Statistical Institute (TurkStat) (2022a). Population censuses. https://data.tuik.gov.tr/Kategori/GetKategori?p=nufus-ve-demografi-109&dil=1.Google Scholar
Osorio-Molina, C, Martos-Cabrera, MB, Membrive-Jiménez, MJ, et al. Smartphone addiction, risk factors and its adverse effects in nursing students: a systematic review and meta-analysis. Nurse Educ Today 2021; 98: 104741.CrossRefGoogle ScholarPubMed
Ratan, ZA, Parrish, AM, Zaman, SB, et al. Smartphone addiction and associated health outcomes in adult populations: a systematic review. Int J Environ Res Public Health 2021; 18: 12257.Google Scholar
Çetinkaya Bozkurt, Ö, Minaz, A. Investigation of university students smartphone addiction levels and usage purposes in terms of different variables. Mehmet Akif Ersoy Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 2017; 9: 268–288.Google Scholar
Alhazmi, AA, Alzahrani, SH, Baig, M, et al. Prevalence and factors associated with smartphone addiction among medical students at king abdulaziz university. Jeddah Pak J Med Sci 2018; 34: 984–988.Google ScholarPubMed
Venkatesh, E, Jemal, MYA, Samani, ASA. Smart phone usage and addiction among dental students in Saudi Arabia: a cross sectional study. Int J Adolesc Med Health 2017; 31. DOI: 10.1515/ijamh-2016-0133.Google Scholar
RFdM, Gonçalves, DdA, Barreto, Monteiro, PI, et al. Smartphone use while eating increases caloric ingestion. Physiol Behav 2019; 15: 93–99.Google Scholar
Loleska, S, Pop-Jordanova, N. Is smartphone addiction in the younger population a public health problem? Pril (Makedon Akad Nauk Umet Odd Med Nauki) 2021; 42: 29–36.Google Scholar