Evidence map›Paper›PMID 18762980›Full record

ArticleEuropean journal of pediatrics2009

Internet use and misuse: a multivariate regression analysis of the predictive factors of internet use among Greek adolescents.

Artemis Tsitsika, Elena Critselis, Georgios Kormas, Anastasia Filippopoulou, Despoina Tounissidou, Aliki Freskou, Theodora Spiliopoulou, Amalia Louizou, Eleftheria Konstantoulaki, Dimitrios Kafetzis

Abstract read
PubMed Publisher
In one paragraph

Article in European journal of pediatrics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
21.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

40 citing papers in PubMed, 161 citations in OpenAlex.

  1. Internet Addiction and it's Relationship with Depression, Anxiety and Stress among Medical Students at Faridabad, Haryana.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Artemis TsitsikaSecond Department of Pediatrics, P. & A. Kyriakou Children's Hospital, Adolescent Health Unit, University of Athens, Leoforos Mesogeion 24, Goudi, Athens, 11527, Greece. info@youth-health.gr
Elena Critselis
Georgios Kormas
Anastasia Filippopoulou
Despoina Tounissidou
Aliki Freskou
Theodora Spiliopoulou
Amalia Louizou
Eleftheria Konstantoulaki
Dimitrios Kafetzis
National and Kapodistrian University of Athens · GRPanagiotis & Aglaia Kyriakou Children's Hospital · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The internet is an integral tool for information, communication, and entertainment among adolescents. As adolescents devote increasing amounts of time to utilizing the internet, the risk for adopting excessive and pathological internet use is inherent. The study objectives include assessing the characteristics and predictors of excessive internet use and evaluating the prevalence of pathological internet use among Greek adolescents. A cross-sectional study design was applied to this effect. The study population (n = 897) consisted of a random sample of adolescents residing in Athens, Greece. Self-completed questionnaires, pertaining to internet access characteristics and Young's Internet Addiction Scale (YIAS) score, were applied in order to investigate the study objectives. The multivariate regression analysis indicated that the most significant predictors of overall internet use included accessing the internet via one's own home portal and for the purpose of social interaction. Internet access via the school environment was a significant deterrent among low (1-3 h/week) internet users, while access via internet cafés was a significant predictor for high (11-20 h/week) internet users. Moreover, accessing the internet for the purposes of game playing was the most significant predictor for excessive (>20 h/week) internet use. The prevalence of borderline internet use among the study population was 12.8%, while 1.00% reported addictive internet use. Also, 10.4% of male excessive internet users reported addictive internet use (p < 0.0001). In conclusion, excessive internet use is predicted solely by the location of internet access (own home portal) and the scope of internet use (i.e., sites relating to socialization and game playing) and may lead to internet addiction, particularly among male adolescents.

Indexed as

AdolescentBehavior, AddictiveBody Mass IndexCross-Sectional StudiesFemaleGreeceHumansInternetLeisure ActivitiesMaleMultivariate AnalysisSex Factors

Identifiers

PMID18762980
OpenAlexW1998094673

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.