Sadeghi, S., Takeuchi, H., Shalani, B., Taki, Y., Nouchi, R., Yokoyama, R., Kotozaki, Y., Nakagawa, S., Sekiguchi, A., Iizuka, K., Hanawa, S., Araki, T., Miyauchi, C.M., Sakaki, K., Nozawa, T., Ikeda, S., Yokota, S., Magistro, D. ORCID: 0000-0002-2554-3701, Sassa, Y. and Kawashima, R., 2022. Brain anatomy alterations and mental health challenges correlate to email addiction tendency. Brain Sciences, 12 (10): 1278. ISSN 2076-3425
Full text not available from this repository.Abstract
Despite the widespread use of email, our knowledge regarding the consequences of email addiction is lacking. The purpose of this study was to develop an email addiction tendency scale to evaluate its correlation to behavior and brain structure. Following this, the validity and reliability of the developed scale was investigated. We used voxel-based morphometry, correlation, and univariate regression analysis to assess the relationships between email addiction tendency scores and regional gray and white matter volumes, depression, and nonverbal reasoning abilities in a large sample of healthy young adults (n = 1152; mean age, 20.69 ± 1.84 years). The content validity ratio, content validity index, principal component analysis, and confirmatory factorial analysis all showed that the email addiction tendency scale (EATS) has high validity. Additionally, the Cronbach’s alpha internal consistency and split-half reliability coefficient showed that the EATS has high reliability. We found that email addiction tendency scores were significantly negatively correlated with nonverbal reasoning. We also observed that the email addiction tendency scores were significantly and positively correlated with depression symptom severity and gray matter volume of the left rostrolateral prefrontal cortex (RLPC) in subjects. These results indicate that email addiction tendency is associated with lower mental health outcomes and increased GMV in the left RLPC.
Item Type: | Journal article | ||||||
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Publication Title: | Brain Sciences | ||||||
Creators: | Sadeghi, S., Takeuchi, H., Shalani, B., Taki, Y., Nouchi, R., Yokoyama, R., Kotozaki, Y., Nakagawa, S., Sekiguchi, A., Iizuka, K., Hanawa, S., Araki, T., Miyauchi, C.M., Sakaki, K., Nozawa, T., Ikeda, S., Yokota, S., Magistro, D., Sassa, Y. and Kawashima, R. | ||||||
Publisher: | MDPI | ||||||
Date: | 22 September 2022 | ||||||
Volume: | 12 | ||||||
Number: | 10 | ||||||
ISSN: | 2076-3425 | ||||||
Identifiers: |
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Rights: | Copyright: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). | ||||||
Divisions: | Schools > School of Science and Technology | ||||||
Record created by: | Jonathan Gallacher | ||||||
Date Added: | 27 Sep 2022 10:59 | ||||||
Last Modified: | 27 Sep 2022 11:00 | ||||||
URI: | https://irep.ntu.ac.uk/id/eprint/47139 |
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