TY - JOUR
T1 - A network analysis of problematic smartphone use in Japanese young adults
AU - Tateno, Masaru
AU - Kato, Takahiro A.
AU - Shirasaka, Tomohiro
AU - Kanazawa, Junichiro
AU - Ukai, Wataru
AU - Hirota, Tomoya
N1 - Funding Information:
This work was partially supported by the Grant-in-Aid for Scientific Research on (1) KAKENHI—The Japan Society for the Promotion of Science- JSPS (JP16H06403 & JP20H01773) and (2) The Japan Agency for Medical Research and Development - AMED (JP19dk0307073 & JP21wm0425010). The funders had no role in study design, data collection and analysis, in the decision to publish or the preparation of the manuscript. All the funding was received during this study. There was no additional external funding received for this study.
Publisher Copyright:
© 2022 Tateno et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2022/8
Y1 - 2022/8
N2 - Background We aimed to explore the overall network structure of problematic smartphone use symptoms assessed by smartphone addiction scale-short version (SAS-SV) and to identify which items could play important roles in the network. Methods 487 college and university students filled out the study questionnaire, including SAS-SV. We constructed a regularized partial correlation network among the 10 items of SAS-SV. We calculated three indices of node centrality: strength, closeness, and betweenness, to quantify the importance of each SAS-SV item. Results We identified 34 edges in the estimated network. In the given network, one item pertaining to withdrawal symptom hadthe highest strength and high closeness centrality. Additionally, one item related to preoccupation was also found to have high centrality indices. Conclusion Our results indicating the central role of one withdrawal symptom and one preoccupation symptom in the symptom network of problematic smartphone use in young adults were in line with a previous study targeting school-age children. Longitudinal study designs are required to elicit the role of these central items on the formation and maintenance of this behavioral problem.
AB - Background We aimed to explore the overall network structure of problematic smartphone use symptoms assessed by smartphone addiction scale-short version (SAS-SV) and to identify which items could play important roles in the network. Methods 487 college and university students filled out the study questionnaire, including SAS-SV. We constructed a regularized partial correlation network among the 10 items of SAS-SV. We calculated three indices of node centrality: strength, closeness, and betweenness, to quantify the importance of each SAS-SV item. Results We identified 34 edges in the estimated network. In the given network, one item pertaining to withdrawal symptom hadthe highest strength and high closeness centrality. Additionally, one item related to preoccupation was also found to have high centrality indices. Conclusion Our results indicating the central role of one withdrawal symptom and one preoccupation symptom in the symptom network of problematic smartphone use in young adults were in line with a previous study targeting school-age children. Longitudinal study designs are required to elicit the role of these central items on the formation and maintenance of this behavioral problem.
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U2 - 10.1371/journal.pone.0272803
DO - 10.1371/journal.pone.0272803
M3 - Article
C2 - 35939449
AN - SCOPUS:85135548120
VL - 17
JO - PLoS One
JF - PLoS One
SN - 1932-6203
IS - 8 August
M1 - e0272803
ER -