Advances in problematic usage of the internet research – A narrative review by experts from the European network for problematic usage of the internet

Fineberg, Naomi; Menchón, José M.; Hall, Natalie; Dell’Osso, Bernardo; Brand, Matthias; Potenza, Marc N.; Chamberlain, Samuel R.; Cirnigliaro, Giovanna; Löchner, Christine; Billieux, Joël; Demetrovics, Zsolt; Rumpf, Hans Jürgen; Müller, Astrid; Castro-Calvo, Jesús; Hollander, Eric; Burkauskas, Julius; Grünblatt, Edna; Walitza, Susanne; Corazza, Ornella; King, Daniel L.; Stein, Dan J.; Grant, Jon E.; Pallanti, Stefano; Bowden‐Jones, Henrietta; Ameringen, Michael Van; Ioannidis, Konstantinos; Carmi, Lior; Goudriaan, Anna E.; Martinotti, Giovanni; Sales, Célia; Jones, Julia; Gjoneska, Biljana; Király, Orsolya; Benatti, B.; Vismara, Matteo; Pellegrini, Luca; Conti, Diego; Cataldo, Ilaria; Riva, Gianluigi M.; Yücel, Murat; Flayelle, Maèva; Hall, Thomas; Griffiths, Morgan; Zohar, Joseph

doi:10.1016/j.comppsych.2022.152346

Cited by 55 publications

(64 citation statements)

References 247 publications

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“…psychiatric comorbidities, including depression, anxiety, autism spectrum disorder and suicide attempt (4)(5)(6)(7). Depression is also common among adolescents.…”

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confidence: 99%

A bidirectional association between smartphone addiction and depression among college students: A cross-lagged panel model

Zhang

Guo

Wang

et al. 2023

Front. Public Health

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BackgroundSmartphone addiction (SA) is associated with adverse consequences, especially for freshmen. Evidence indicates that SA is associated with depression, and it is necessary to conduct a longitudinal study to explore the association further.MethodsSA (measured by the Smartphone Addiction Scale-Short Version) and depression (measured by the Zung's Self-Rating Depression Scale) among 1,186 freshmen were surveyed at baseline and a respective 12-month follow-up for each participant. The application of a cross-lagged panel model approach (CLPM) revealed an association between SA and depression after adjusting for demographic variables.ResultsThe CLPM results showed a significant path from baseline SA to follow-up depression (β = 0.08, P < 0.001) and a significant path from baseline depression to follow-up SA (β = 0.08, P < 0.001). Compared with the overall cross-lagged model, the cross-lagged coefficient of the path from baseline SA to follow-up depression increased in the female group (β = 0.10, P = 0.015), and the cross-lagged coefficient of the path from baseline depression to follow-up SA also increased significantly (β = 0.15, P < 0.001). In contrast, the cross-lagged model in the male group showed no predictive effect between SA and depression (P > 0.05).ConclusionsThe current study showed a significant bidirectional association between smartphone addiction and depression among freshmen, but only in the female population.

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“…psychiatric comorbidities, including depression, anxiety, autism spectrum disorder and suicide attempt (4)(5)(6)(7). Depression is also common among adolescents.…”

mentioning

confidence: 99%

A bidirectional association between smartphone addiction and depression among college students: A cross-lagged panel model

Zhang

Guo

Wang

et al. 2023

Front. Public Health

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“…A recent narrative review suggests that problematic use of the smartphone could involve various forms of problematic use of the internet such as gaming, gambling, social media, etc. (Fineberg et al, 2022).…”

Section: A Commentary On Editorial: Significant Influencing Factors A...mentioning

confidence: 99%

Commentary: Editorial: Significant influencing factors and effective interventions of mobile phone addiction

2022

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“…In particular, research is needed to understand the course and development of IUDs in different age groups and genders. In addition, the need for reliable methods for the early detection of people at risk, as well as preventive and therapeutic interventions, is stated [27,28]. This leads to the following research questions: (1) is it possible to reach individuals experiencing IUD symptoms via an internet-based health care service?…”

Section: Introductionmentioning

confidence: 99%

Internet-Based Self-Assessment for Symptoms of Internet Use Disorder—Impact of Gender, Social Aspects, and Symptom Severity: German Cross-sectional Study

et al. 2023

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Background Internet use disorder (IUD) is a new type of behavioral addiction in the digital age. At the same time, internet applications and eHealth can also provide useful support in medical treatment. Objective The purpose of this study is to examine if an internet-based eHealth service can reach individuals with IUD. In particular, it should be investigated whether both male and female individuals with more severe IUDs can be reached. Methods Data were retrieved from the OMPRIS (online-based motivational intervention to reduce problematic internet use and promote treatment motivation in internet gaming disorder and internet use disorder) project (DRKS00019925), an internet-based motivational intervention to reduce problematic internet use and promote treatment motivation in internet gaming disorder and IUD. During the recruitment process (August 2020-March 2022), a total of 3007 individuals filled out the standardized scale for the assessment of internet and computer game addiction (AICA-S). The assessment was accessible via the project homepage. There was no preselection of participants at this stage of the study; however, the offer was addressed to people with hazardous internet use and IUDs. The web-based assessment was free and could be found via search engines, but attention was also drawn to the service via newspaper articles, radio reports, and podcasts. Results Out of 3007 who participated in the web-based self-assessment, 1033 (34.4%) are female, 1740 (57.9%) are male, 67 (2.2%) are diverse individuals, and 167 (5.5%) did not disclose their gender. The IUD symptom severity score showed a wide range between the AICA-S extreme values of 0 and 27 points. On average, the total sample (mean 8.19, SD 5.47) was in the range of hazardous IUD behavior (AICA-S cutoff>7.0). Furthermore, 561 individuals (18.7% of the total sample; mean 17.42, SD 3.38) presented severe IUD (AICA-S cutoff>13.5). Focusing on female and male participants, 20.9% (363/1740) of the men and 14.9% (151/1033) of the women scored above 13.5 points, which can be considered pathological IUD behavior (χ22,2773=16.73, P<.001, effect size: Cramér V=0.078). Unemployment, being in vocational training or studying at a university, and being male were significantly associated with high IUD symptoms. Conclusions Using a large sample, the study showed that both mildly and severely IUD-affected individuals can be reached via the internet. An internet-based eHealth offer can thus be a good way to reach patients with IUD where they are addicted—on the internet. In addition, eHealth services increase the likelihood of reaching female patients, who hardly ever come to specialized outpatient clinics and hospitals. Since social problems, especially unemployment, have a strong association with disease severity, the integration of social counseling into treatment seems advisable in terms of a multidisciplinary approach. Trial Registration German Clinical Trials Register (DRKS) DRKS00019925; https://drks.de/search/de/trial/DRKS00019925

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Advances in problematic usage of the internet research – A narrative review by experts from the European network for problematic usage of the internet

Cited by 55 publications

References 247 publications

A bidirectional association between smartphone addiction and depression among college students: A cross-lagged panel model

A bidirectional association between smartphone addiction and depression among college students: A cross-lagged panel model

Commentary: Editorial: Significant influencing factors and effective interventions of mobile phone addiction

Internet-Based Self-Assessment for Symptoms of Internet Use Disorder—Impact of Gender, Social Aspects, and Symptom Severity: German Cross-sectional Study

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