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Association of Internet Addiction Disorder with self-injurious behavior: a meta-analysis.

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Title: Association of Internet Addiction Disorder with self-injurious behavior: a meta-analysis.
Authors: Wang, Shan, Tan, Yuqing, Yu, Minglan, Wang, Haoran, Wang, Tingting, Feng, Shuangshuang, Liu, Kezhi, Xiang, Bo
Source: Addiction Research & Theory. Aug2025, Vol. 33 Issue 4, p340-349. 10p.
Subjects: Self-injurious behavior, Internet addiction, Risk assessment, Medical information storage & retrieval systems, Research funding, CINAHL database, Descriptive statistics, Meta-analysis, MEDLINE, Odds ratio, Systematic reviews, Medical databases, Online information services, Confidence intervals
Geographic Terms: China
Abstract: Objective: The prevalence of Internet addiction (IA) and self-injury (SI) is steadily rising over time. Numerous studies have extensively examined both phenomena. However, the relationship between IA and SI remains unclear, we conducted this meta-analysis to confirm the association between them. Methods: We searched articles published in PubMed, Embase, Web of Science, Medline, Cochrane Library and CINAHL databases from their inception to 31 December 2023, by search terms. Articles were included if the study investigated Internet addiction in individuals with self-injurious behaviors, or if Internet use was clearly associated with self-injurious behaviors. The extraction of articles and quality assessment for included reviews were performed independently by two authors. Results: The results of the meta-analysis indicate a positive association between IA and SI. Additionally, our study found that SI is also positively associated with IA. Specifically, IA is found to be associated with a higher risk of SI (n = 11, odds ratio [OR] = 2.56, 95% CI = 2.22–2.95). Similarly, SI is associated with an increased risk of IA (n = 10, OR = 2.74, 95% CI = 2.08–3.60). Conclusion: There may be an association between IA and SI, but further longitudinal studies are needed to clarify the causal relationship between the two, and to provide a comprehensive plan for the prevention of related diseases. [ABSTRACT FROM AUTHOR]
Copyright of Addiction Research & Theory is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Association of Internet Addiction Disorder with self-injurious behavior: a meta-analysis.
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  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Shan%22">Wang, Shan</searchLink><br /><searchLink fieldCode="AR" term="%22Tan%2C+Yuqing%22">Tan, Yuqing</searchLink><br /><searchLink fieldCode="AR" term="%22Yu%2C+Minglan%22">Yu, Minglan</searchLink><br /><searchLink fieldCode="AR" term="%22Wang%2C+Haoran%22">Wang, Haoran</searchLink><br /><searchLink fieldCode="AR" term="%22Wang%2C+Tingting%22">Wang, Tingting</searchLink><br /><searchLink fieldCode="AR" term="%22Feng%2C+Shuangshuang%22">Feng, Shuangshuang</searchLink><br /><searchLink fieldCode="AR" term="%22Liu%2C+Kezhi%22">Liu, Kezhi</searchLink><br /><searchLink fieldCode="AR" term="%22Xiang%2C+Bo%22">Xiang, Bo</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Addiction+Research+%26+Theory%22">Addiction Research & Theory</searchLink>. Aug2025, Vol. 33 Issue 4, p340-349. 10p.
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  Data: <searchLink fieldCode="DE" term="%22Self-injurious+behavior%22">Self-injurious behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+addiction%22">Internet addiction</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+information+storage+%26+retrieval+systems%22">Medical information storage & retrieval systems</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22CINAHL+database%22">CINAHL database</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Meta-analysis%22">Meta-analysis</searchLink><br /><searchLink fieldCode="DE" term="%22MEDLINE%22">MEDLINE</searchLink><br /><searchLink fieldCode="DE" term="%22Odds+ratio%22">Odds ratio</searchLink><br /><searchLink fieldCode="DE" term="%22Systematic+reviews%22">Systematic reviews</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+databases%22">Medical databases</searchLink><br /><searchLink fieldCode="DE" term="%22Online+information+services%22">Online information services</searchLink><br /><searchLink fieldCode="DE" term="%22Confidence+intervals%22">Confidence intervals</searchLink>
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  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22China%22">China</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objective: The prevalence of Internet addiction (IA) and self-injury (SI) is steadily rising over time. Numerous studies have extensively examined both phenomena. However, the relationship between IA and SI remains unclear, we conducted this meta-analysis to confirm the association between them. Methods: We searched articles published in PubMed, Embase, Web of Science, Medline, Cochrane Library and CINAHL databases from their inception to 31 December 2023, by search terms. Articles were included if the study investigated Internet addiction in individuals with self-injurious behaviors, or if Internet use was clearly associated with self-injurious behaviors. The extraction of articles and quality assessment for included reviews were performed independently by two authors. Results: The results of the meta-analysis indicate a positive association between IA and SI. Additionally, our study found that SI is also positively associated with IA. Specifically, IA is found to be associated with a higher risk of SI (n = 11, odds ratio [OR] = 2.56, 95% CI = 2.22–2.95). Similarly, SI is associated with an increased risk of IA (n = 10, OR = 2.74, 95% CI = 2.08–3.60). Conclusion: There may be an association between IA and SI, but further longitudinal studies are needed to clarify the causal relationship between the two, and to provide a comprehensive plan for the prevention of related diseases. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Addiction Research & Theory is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/16066359.2025.2463408
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      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 340
    Subjects:
      – SubjectFull: Self-injurious behavior
        Type: general
      – SubjectFull: Internet addiction
        Type: general
      – SubjectFull: Risk assessment
        Type: general
      – SubjectFull: Medical information storage & retrieval systems
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      – SubjectFull: CINAHL database
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      – SubjectFull: Descriptive statistics
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      – SubjectFull: Meta-analysis
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      – SubjectFull: Odds ratio
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      – SubjectFull: Systematic reviews
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      – SubjectFull: Medical databases
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      – SubjectFull: Online information services
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      – SubjectFull: Confidence intervals
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      – SubjectFull: China
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              Text: Aug2025
              Type: published
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