The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The Relationship Between Depression and Internet Addiction
Abstract
Prior research has utilized the Zung Depression Inventory (ZDI) and found that moderate to severe rates of depression coexist with pathological Internet use.1 Although the ZDI was utilized for its expediency with on-line administration, its limitations include poor normative data and less frequent clinical use. Therefore, this study utilized the Beck Depression Inventory (BDI), which has more accurate norms and frequent usage among dual diagnostic patient populations. An on-line survey administered on a World Wide Web site utilized the BDI as part of a larger study. A total of 312 surveys was collected with 259 valid profiles from addicted users, which again supported significant levels of depression to be associated with pathological Internet use. This article discusses how a treatment protocol should emphasis the primary psychiatric condition if related to a subsequent impulse control problem such as pathological Internet use. Effective management of psychiatric symptoms may indirectly correct pathological Internet use.
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Cites
An inventory for measuring depression
BECK, A. T. (1961) · Archives of General Psychiatry · doi:10.1001/archpsyc.1961.01710120031004 · Cited by 38,032
Internet Addiction: The Emergence of a New Clinical Disorder
YOUNG, K. S. (1998) · CyberPsychology & Behavior · doi:10.1089/cpb.1998.1.237 · Cited by 5,513
Self-citationSocial psychological aspects of computer-mediated communication
Kiesler, S., Siegel, J., & McGuire, T. W. (1984) · American Psychologist · doi:10.1037/0003-066x.39.10.1123 · Cited by 2,630
Research works printed but not linked: 6
- 10.1111/j.2164-4918.1983.tb00186.x · doi:10.1111/j.2164-4918.1983.tb00186.x
- 10.1300/J069v12n03_08 · DOI
- 10.1111/j.1360-0443.1986.tb00301.x · DOI · Paper page
- 10.1007/BF01015747 · DOI · Paper page
- 10.1007/BF01014864 · DOI
- 10.1037//0003-066X.39.10.1123 · doi:10.1037//0003-066x.39.10.1123 · Paper page
Cited by
Caplan, S. E. (2002) · Computers in Human Behavior · doi:10.1016/s0747-5632(02)00004-3 · Cited by 1,279
Lin, L. Y., Sidani, J. E., Shensa, A., Radovic, A., Miller, E., Colditz, J. B., Hoffman, B. L., Giles, L. M., & Primack, B. A. (2016) · Depression and Anxiety · doi:10.1002/da.22466 · Cited by 1,111
Theory and measurement of generalized problematic internet use : A two-step approach
Caplan, S. E. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.03.012 · Cited by 1,061
Caplan, S. E. (2003) · Communication Research · doi:10.1177/0093650203257842 · Cited by 1,026
The association between Internet addiction and psychiatric disorder: A review of the literature
Ko, C.-H., Yen, J.-Y., Yen, C.-F., Chen, C.-S., & Chen, C.-C. (2012) · European Psychiatry · doi:10.1016/j.eurpsy.2010.04.011 · Cited by 895
Metadata
- Authors
- YOUNG, K. S., & ROGERS, R. C.
- Venue
- CyberPsychology & Behavior
- Publisher
- SAGE Publications
- Published
- 1998-01
- Volume
- 1
- Issue
- 1
- Pages
- 25-28
- ISSN
- 1094-9313 (ISSN-L)
- 1557-8364
- OpenAlex
- W2074865428
- Cited by
- 1,196
- References
- 3
- FWCI
- 35.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.liebertpub.com/nv/resources-tools/text-and-data-mining-policy/121/ (tdm)
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
