100+ datasets found
  1. Addiction to gadgets and the internet in Russia 2024, by age

    • statista.com
    Updated Nov 3, 2024
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    Statista (2024). Addiction to gadgets and the internet in Russia 2024, by age [Dataset]. https://www.statista.com/statistics/1250407/russia-digital-addiction-by-age/
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    Dataset updated
    Nov 3, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 27, 2024 - Jun 3, 2024
    Area covered
    Russia
    Description

    Younger generations in Russia were more addicted to electronic devices and the internet, according to a survey conducted in May and June 2024. Almost six out of ten respondents younger than 34 years admitted to having a digital addiction. To compare, about 40 percent of adults of over 45 years of age had noticed signs of being addicted to gadgets and the internet.

  2. U.S. users device addiction 2022

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). U.S. users device addiction 2022 [Dataset]. https://www.statista.com/statistics/1343695/us-users-addiction-digital-devices/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 3, 2022 - Sep 2, 2022
    Area covered
    United States
    Description

    According to a 2022 survey of internet users in the United States, nearly half of respondents, ** percent, considered themselves addicted or somewhat addicted to digital devices. Meanwhile, ** percent did not think they were addicted to their digital appliances.

  3. S

    Social Media Addiction Statistics

    • searchlogistics.com
    Updated Apr 1, 2025
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    Search Logistics (2025). Social Media Addiction Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-addiction-statistics/
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    Dataset updated
    Apr 1, 2025
    Dataset authored and provided by
    Search Logistics
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    In this post, I'll give you all the social media addiction statistics you need to be aware of to moderate your social media use.

  4. H

    Data for: Digital Addiction

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Jan 11, 2024
    + more versions
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    Hunt Allcott; Matthew Gentzkow; Lena Song (2024). Data for: Digital Addiction [Dataset]. http://doi.org/10.7910/DVN/GN636M
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jan 11, 2024
    Dataset provided by
    Harvard Dataverse
    Authors
    Hunt Allcott; Matthew Gentzkow; Lena Song
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/2.0/customlicense?persistentId=doi:10.7910/DVN/GN636Mhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/2.0/customlicense?persistentId=doi:10.7910/DVN/GN636M

    Description

    Many have argued that digital technologies such as smartphones and social media are addictive. We develop an economic model of digital addiction and estimate it using a randomized experiment. Temporary incentives to reduce social media use have persistent effects, suggesting social media are habit forming. Allowing people to set limits on their future screen time substantially reduces use, suggesting self-control problems. Additional evidence suggests people are inattentive to habit formation and partially unaware of self-control problems. Looking at these facts through the lens of our model suggests that self-control problems cause 31 percent of social media use.

  5. S

    Internet Addiction Statistics 2025: Global Rates, Causes & Solutions

    • sqmagazine.co.uk
    Updated Jul 22, 2025
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    SQ Magazine (2025). Internet Addiction Statistics 2025: Global Rates, Causes & Solutions [Dataset]. https://sqmagazine.co.uk/internet-addiction-statistics/
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    Dataset updated
    Jul 22, 2025
    Dataset authored and provided by
    SQ Magazine
    License

    https://sqmagazine.co.uk/privacy-policy/https://sqmagazine.co.uk/privacy-policy/

    Time period covered
    Jan 1, 2024 - Dec 31, 2025
    Area covered
    Global
    Description

    In the quiet moments between meetings, on the bus ride home, or just before bedtime, many of us instinctively reach for our phones. What starts as a quick scroll through headlines or social feeds often spirals into hours of unintentional browsing. This growing pattern reflects a modern struggle: internet addiction....

  6. f

    Data from: Internet addiction and depressive symptoms: a dose-response...

    • scielo.figshare.com
    jpeg
    Updated May 31, 2023
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    Lauro Miranda Demenech; Marlos Rodrigues Domingues; Rosângela Mattos Muller; Vera Regina Levien; Samuel Carvalho Dumith (2023). Internet addiction and depressive symptoms: a dose-response effect mediated by levels of physical activity [Dataset]. http://doi.org/10.6084/m9.figshare.22187905.v1
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    jpegAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    SciELO journals
    Authors
    Lauro Miranda Demenech; Marlos Rodrigues Domingues; Rosângela Mattos Muller; Vera Regina Levien; Samuel Carvalho Dumith
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract Introduction There are several negative impacts on the physical and mental health of people presenting internet addiction, including development of mood disorders, such as depression. Objective The aim of the study was to evaluate the association between internet addiction and depressive symptoms, as well as to test the mediating role of physical activity in this association. Methods A cross-sectional study was conducted with undergraduate students from three universities (one private and two public institutions) in southern Brazil. Depressive symptoms were measured with the Beck Depression Inventory (BDI-21), internet addiction with the Internet Addiction Test (IAT-20), and physical activity with the International Physical Activity Questionnaire (IPAQ – short version). Poisson regression and the Karlson-Holm-Breen mediation method were used for statistical analyses. Results We observed a dose-response relationship between internet addiction and depressive symptoms. Levels of physical activity mediated the association between moderate internet addiction and depressive symptoms, accounting for 10.7% of the effect observed. Conclusion Internet addiction can be detrimental to individuals’ health, contributing to development of depressive symptoms. Along with psychological and pharmacological therapies, prescription of physical activities is recommended.

  7. Data from: Technology addiction

    • figshare.com
    xlsx
    Updated Nov 11, 2023
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    Türkan Peşkirci (2023). Technology addiction [Dataset]. http://doi.org/10.6084/m9.figshare.24547201.v1
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    xlsxAvailable download formats
    Dataset updated
    Nov 11, 2023
    Dataset provided by
    figshare
    Authors
    Türkan Peşkirci
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This study examines the mediating role of self-handicapping in the balance between technology addiction and psychological well-being in university students. 162 university students participated in this descriptive-correlational study between April and June 2023. Technology Addiction Scale, Psychological Well-Being Scale and Self-Handicapping Scale were used. AMOS program were used to evaluate the mediating effect in the research. The study showed that technology addiction reduces psychological well-being and increases self-handicapping tendency and that higher self-handicapping tendency leads to decreased psychological well-being in university students. When the mediating effect was examined, self-handicapping was a full mediator in the balance between technology addiction and psychological well-being (β:-0.216; p

  8. s

    Social Media Usage By Country

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Social Media Usage By Country [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-addiction-statistics/
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    Dataset updated
    Apr 1, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The results might surprise you when looking at internet users that are active on social media in each country.

  9. U.S. internet users addicted to social media 2019, by ethnicity

    • statista.com
    Updated Mar 10, 2025
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    Statista (2025). U.S. internet users addicted to social media 2019, by ethnicity [Dataset]. https://www.statista.com/statistics/1080502/social-media-addiction-by-ethnicity-usa/
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    Dataset updated
    Mar 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2019
    Area covered
    United States
    Description

    Overall, 30 percent of online users in the United States reported feeling addicted to social media. During the April 2019 survey, 11 percent of responding Hispanics stated that they felt the statement "I am addicted to social media" described them completely. Overall, 29 percent of Hispanic respondents completely or somewhat agreed with the statement.

  10. U.S. internet users addicted to social media 2019, by age group

    • statista.com
    Updated Mar 10, 2025
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    Statista (2025). U.S. internet users addicted to social media 2019, by age group [Dataset]. https://www.statista.com/statistics/1081292/social-media-addiction-by-age-usa/
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    Dataset updated
    Mar 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Apr 2019
    Area covered
    United States
    Description

    Overall, 40 percent of U.S. online users aged 18 to 22 years reported feeling addicted to social media. During the April 2019 survey, five percent of respondents from that age group stated that they felt the statement "I am addicted to social media" described them completely.

  11. s

    Worldwide Social Media Addiction Facts

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Worldwide Social Media Addiction Facts [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-addiction-statistics/
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    Dataset updated
    Apr 1, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Over 210 million people worldwide suffer from social media addiction.

  12. Share of French who consider themselves addicted to their digital devices...

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Share of French who consider themselves addicted to their digital devices 2019 [Dataset]. https://www.statista.com/statistics/959387/self-assessment-addiction-digital-devices-france/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 15, 2019 - May 16, 2019
    Area covered
    France
    Description

    This statistic presents the percentage of French describing themselves as addicted to their digital devices (smartphones, tablet, computer...) as of May 2019. The survey reveals that ** percent of the respondents stated that they considered themselves totally addicted to digital devices, while **** percent stated not feeling addicted at all to digital tools.

  13. s

    Social Media Addiction Statistics Amongst Teenagers

    • searchlogistics.com
    Updated Apr 1, 2025
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    (2025). Social Media Addiction Statistics Amongst Teenagers [Dataset]. https://www.searchlogistics.com/learn/statistics/social-media-addiction-statistics/
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    Dataset updated
    Apr 1, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Teenagers are the 2nd largest group of people affected by social media addiction. Teens ages 13 to 18 years old spend a significant amount of their free time on social media with an average of 3 hours a day.

  14. data for internet addiction

    • osf.io
    Updated Mar 11, 2023
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    Jinjin Ma (2023). data for internet addiction [Dataset]. http://doi.org/10.17605/OSF.IO/C6QUB
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    Dataset updated
    Mar 11, 2023
    Dataset provided by
    Center for Open Sciencehttps://cos.io/
    Authors
    Jinjin Ma
    Description

    No description was included in this Dataset collected from the OSF

  15. Main factors behind minors' internet addiction in Greater China 2024

    • statista.com
    Updated Jun 23, 2025
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    Statista (2025). Main factors behind minors' internet addiction in Greater China 2024 [Dataset]. https://www.statista.com/statistics/1549643/greater-china-main-causes-of-internet-addiction-children-and-teenagers/
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    Dataset updated
    Jun 23, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 1, 2024 - Aug 16, 2024
    Area covered
    China
    Description

    In a 2024 survey conducted among children and parents from the Greater China region, ** percent of the respondents indicated lack of self-discipline as a main cause for kids to developing internet addiction. ** percent of surveyed parents shared the opinion that the appeal of internet content is too strong for children and teenagers to resist.

  16. Data from: Cross-sectional study of Facebook addiction in a sample of...

    • zenodo.org
    • data.niaid.nih.gov
    • +1more
    bin, txt
    Updated Oct 22, 2022
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    Alok Atreya; Alok Atreya; Samata Nepal; Prakash Thapa; Samata Nepal; Prakash Thapa (2022). Cross-sectional study of Facebook addiction in a sample of Nepalese population [Dataset]. http://doi.org/10.5061/dryad.83bk3j9pv
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    bin, txtAvailable download formats
    Dataset updated
    Oct 22, 2022
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Alok Atreya; Alok Atreya; Samata Nepal; Prakash Thapa; Samata Nepal; Prakash Thapa
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Nepal
    Description

    Background: Facebook addiction is said to occur when an individual spends an excessive amount of time on Facebook, disrupting one's daily activities and social life. The present study aimed to find out the level of Facebook addiction in the Nepalese context and briefly discuss the crimes associated with its unintended use.

    Methods: A descriptive cross-sectional study was conducted in the Department of Forensic Medicine of Lumbini Medical College. The study instrument was the Bergen Facebook Addiction Scale typed into a Google Form and sent randomly to Facebook contacts of the authors. The responses were downloaded in a Microsoft Excel spreadsheet and analyzed using Statistical Package for Social Sciences version 16.

    Results: The study consisted of 103 Nepalese participants, of which 54 (52.42%) were males and 49 females (47.58%). There were 11 participants (10.68%) who had more than one Facebook account. When different approaches were applied it was observed that 8.73% (n=9) to 39.80% (n=41) were addicted to Facebook.

    Conclusion: When used properly Facebook has its own advantages. Excessive use is linked with health hazards including addiction and dependency. Students who engage more on Facebook will have less time studying leading to poor academic performance.People need to be made aware of the issues associated with the misuse of Facebook

  17. f

    Data from: Characteristics of Internet Addiction/Pathological Internet Use...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Feb 3, 2015
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    Howard, Matthew O.; O’Brien, Jennifer E.; Snyder, Susan M.; Li, Wen (2015). Characteristics of Internet Addiction/Pathological Internet Use in U.S. University Students: A Qualitative-Method Investigation [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001897105
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    Dataset updated
    Feb 3, 2015
    Authors
    Howard, Matthew O.; O’Brien, Jennifer E.; Snyder, Susan M.; Li, Wen
    Description

    Studies have identified high rates and severe consequences of Internet Addiction/Pathological Internet Use (IA/PIU) in university students. However, most research concerning IA/PIU in U.S. university students has been conducted within a quantitative research paradigm, and frequently fails to contextualize the problem of IA/PIU. To address this gap, we conducted an exploratory qualitative study using the focus group approach and examined 27 U.S. university students who self-identified as intensive Internet users, spent more than 25 hours/week on the Internet for non-school or non-work-related activities and who reported Internet-associated health and/or psychosocial problems. Students completed two IA/PIU measures (Young’s Diagnostic Questionnaire and the Compulsive Internet Use Scale) and participated in focus groups exploring the natural history of their Internet use; preferred online activities; emotional, interpersonal, and situational triggers for intensive Internet use; and health and/or psychosocial consequences of their Internet overuse. Students’ self-reports of Internet overuse problems were consistent with results of standardized measures. Students first accessed the Internet at an average age of 9 (SD = 2.7), and first had a problem with Internet overuse at an average age of 16 (SD = 4.3). Sadness and depression, boredom, and stress were common triggers of intensive Internet use. Social media use was nearly universal and pervasive in participants’ lives. Sleep deprivation, academic under-achievement, failure to exercise and to engage in face-to-face social activities, negative affective states, and decreased ability to concentrate were frequently reported consequences of intensive Internet use/Internet overuse. IA/PIU may be an underappreciated problem among U.S. university students and warrants additional research.

  18. Share of adolescent internet addiction by ethnicity Malaysia 2017

    • statista.com
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    Statista, Share of adolescent internet addiction by ethnicity Malaysia 2017 [Dataset]. https://www.statista.com/statistics/1022650/share-of-adolescent-internet-addiction-by-ethnicity-malaysia/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 26, 2017 - May 3, 2017
    Area covered
    Malaysia
    Description

    This statistic shows the share of internet addiction amongst adolescents in Malaysia in 2017, by ethnicity. In 2017, ** percent of respondents of Chinese ethnicity were admitted to being addicted to the internet, the highest rate of internet addiction among the different ethnicities.

  19. f

    Data from: Internet and video game addictions: a cognitive behavioral...

    • scielo.figshare.com
    jpeg
    Updated Jun 5, 2023
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    Igor Lins Lemos; Cristiano Nabuco de Abreu; Everton Botelho Sougey (2023). Internet and video game addictions: a cognitive behavioral approach [Dataset]. http://doi.org/10.6084/m9.figshare.19967539.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    SciELO journals
    Authors
    Igor Lins Lemos; Cristiano Nabuco de Abreu; Everton Botelho Sougey
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Background While several benefits are attributed to the Internet and video games, an important proportion of the population presents symptoms related to possible new technological addictions and there has been little discussion of treatment of problematic technology use. Although demand for knowledge is growing, only a small number of treatments have been described. Objective To conduct a systematic review of the literature, to establish Cognitive Behavioral Therapy (CBT) as a possible strategy for treating Internet and video game addictions. Method The review was conducted in the following databases: Science Direct on Line, PubMed, PsycINFO, Cochrane Clinical Trials Library, BVS and SciELO. The keywords used were: Cognitive Behavioral Therapy; therapy; treatment; with association to the terms Internet addiction and video game addiction. Given the scarcity of studies in the field, no restrictions to the minimum period of publication were made, so that articles found until October 2013 were accounted. Results Out of 72 articles found, 23 described CBT as a psychotherapy for Internet and video game addiction. The manuscripts showed the existence of case studies and protocols with satisfactory efficacy. Discussion Despite the novelty of technological dependencies, CBT seems to be applicable and allows an effective treatment for this population.

  20. f

    Data from: Internet addiction and its correlation with behavioral problems...

    • scielo.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Jun 1, 2023
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    Mayara de Rezende Machado; Isac Bruck; Sérgio Antonio Antoniuk; Mônica Nunes Lima Cat; Maurício César Soares; Alcir Francisco da Silva (2023). Internet addiction and its correlation with behavioral problems and functional impairments – A cross-sectional study [Dataset]. http://doi.org/10.6084/m9.figshare.6152030.v1
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELO journals
    Authors
    Mayara de Rezende Machado; Isac Bruck; Sérgio Antonio Antoniuk; Mônica Nunes Lima Cat; Maurício César Soares; Alcir Francisco da Silva
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    ABSTRACT Objective Evaluate the prevalence of internet addiction (IA) among adolescents, as well as characterize behaviors that are considered to be a risk in this population regarding the use and addiction of the Internet. Methods In this cross-sectional study conducted in one public and one private school 91 adolescents, aged 12 to 16 years old, responded the Internet Addiction Test – Brazilian version (IAT) and Child Behavior Checklist (CBCL). Results The prevalence of internet addiction found was 21%, with no difference between private and public schools. On the group dependent on the Internet, there was a statistically significant correlation with Anxiety/Depression, Withdrawn/Depression, Rule Breaking Behavior and Aggressive Behavior, as well as the syndrome scales Social Problems, Thought Problems and Attention Problems. Conclusion Our study provides evidence of a relationship between internet addiction and behavioral problems among adolescents. As this is a cross-sectional study, we consider that future research is necessary to corroborate our results.

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Statista (2024). Addiction to gadgets and the internet in Russia 2024, by age [Dataset]. https://www.statista.com/statistics/1250407/russia-digital-addiction-by-age/
Organization logo

Addiction to gadgets and the internet in Russia 2024, by age

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Nov 3, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
May 27, 2024 - Jun 3, 2024
Area covered
Russia
Description

Younger generations in Russia were more addicted to electronic devices and the internet, according to a survey conducted in May and June 2024. Almost six out of ten respondents younger than 34 years admitted to having a digital addiction. To compare, about 40 percent of adults of over 45 years of age had noticed signs of being addicted to gadgets and the internet.

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