Cited by 437Impact of Technology on AdolescentsSexuality, Behavior, and TechnologyGambling Behavior and Treatments

The Relationship between Excessive Internet Use and Depression: A Questionnaire-Based Study of 1,319 Young People and Adults

Morrison, Catriona M., Gore, Helen·2010·Psychopathology

Abstract

Background There is a growing awareness of a psychiatric construct that needs to be better defined and understood: Internet addiction (IA). Recently there has been much public concern over the relationship between Internet use and negative affect. This study explored the concept of IA and examined the relationship between addictive symptoms and depression. Sampling and methods An online questionnaire was used to measure participants' Internet use, the functions for which they used the Internet, and their depressive tendencies. Three scales were included: the IA Test, the Internet Function Questionnaire and the Beck Depression Inventory (BDI). 1,319 respondents completed the questionnaires, with 18 (1.2%) identified as falling in the IA category. Results Correlational analyses were conducted across the whole data sample. In factorial analyses, the 18 IA respondents were compared to a matched group of non-addicted (NA) respondents in terms of their scores on the Function Test and the BDI. Across the whole data sample, there was a close relationship between IA tendencies and depression, such that IA respondents were more depressed; there were also significant differences between the sexes, with men showing more addictive tendencies than women. In addition, young people were significantly more likely to show addictive symptoms than were older people. There was a significant difference between the IA and the NA group in their levels of depressive symptoms, with the NA group firmly…

Integrity signals

Registry

Crossref · 10.1159/000277001

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Youth who report psychological distress around online activities and describe their technology use as distressing or problematic are also more likely to report psychological distress offline.

    “youth who report psychological distress around their online activities and describe their technology use as including distressing or problematic elements, are also more likely to report psychological distress in their offline lives”

No citation lists for this paper

No citation lists for this paper yet — checked again daily.

References 14 · Cited by 437

Authors
Morrison, C. M., & Gore, H.
Affiliations
University of Leeds (GB)
Venue
Psychopathology
Publisher
S. Karger AG
Published
2010
Volume
43
Issue
2
Pages
121-126
ISSN
  • 0254-4962 (ISSN-L)
  • 1423-033X
OpenAlex
W2074577226
Cited by
437
References
14
Citations by year
2026: 12 · 2025: 12 · 2024: 32 · 2023: 24 · 2022: 22 · 2021: 33 · 2020: 29 · 2019: 38 · 2018: 37 · 2017: 26 · 2016: 36 · 2015: 31 · 2014: 34 · 2013: 29 · 2012: 22
FWCI
73.33
Type
journal article
Language
en
Open access
closed
Locations
  • Psychopathology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
  • Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
Keywords
internet addiction, excessive internet use, depression, depressive symptoms, sex differences, age differences, online games, online communities, social isolation, comorbidities
MeSH terms
Adolescent, Adult, Cross-Sectional Studies, Depressive Disorder, Female, Health Surveys, Humans, Interpersonal Relations, Male, Middle Aged, Surveys and Questionnaires, Sex Factors, Social Behavior, Social Isolation, Utilization Review, Comorbidity, Behavior, Addictive, Internet, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review