Smartphones are bad for some teens, not all
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Integration of mobile touch screen device use into everyday life has provided benefits such as convenience, communication with peers and family, or access to information for homework.
“This integration of use into their everyday life has indeed provided benefits such as convenience, communication with peers and family or access to information for homework [39].”
From “From the moment I wake up I will use it…every day, very hour”: a qualitative study on the patterns of adolescents’ mobile touch screen device use from adolescent and parent perspectives (2019) · cites this paper as [39]
In “Pros and cons > What do the data show?” (page not specified), the paper says teens use digital communication to strengthen relationships and that much of their online time is spent connecting with friends and family. It does not address convenience or accessing information for homework, so those claimed benefits are not supported by our copy. (LLM, conf=0.87)
Experimental — accuracy not yet measuredStudies on social media and mental health have shown mixed results, with positive, negative, and null associations, all having small effect sizes or weak correlations.
“Studies on social media and mental health have shown mixed results, with positive, negative, and null associations, all having small effect sizes102 or weak correlations.121,122”
From Digital Ecosystems, Children, and Adolescents: Technical Report (2026) · cites this paper as [121]
Adolescents' online risk often mirrors offline vulnerabilities.
“Adolescents’ online risk often mirrors offline vulnerabilities.”
From Annual Research Review: Adolescent mental health in the digital age: facts, fears, and future directions. (2020) · cites this paper as Odgers, 2018
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Li, W., Cui, Y., Gong, Q., & Zhu, Z. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19127386 · Cited by 15 · see citing works
New Zealand Teens and Digital Harm: Statistical Insights into Experiences, Impact and ResponsePreprint
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Digital Ecosystems, Children, and Adolescents: Technical Report
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How do teens with a history of suicidal behavior and self-harm interact with social media?
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Time use and associations with internalizing symptoms from 1991 to 2019 among US adolescents
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- Authors
- Odgers, C.
- Affiliations
- Canadian Institute for Advanced Research (CA)
- Corresponding author
- Odgers, Candice
- ORCID
- Odgers, Candice
- Venue
- Nature
- Published
- 2018-02-21
- Volume
- 554
- Issue
- 7693
- Pages
- 432-434
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC6121807
- OpenAlex
- W2790980665
- Cited by
- 173
- References
- 17
- Citations by year
- 2026: 10 · 2025: 16 · 2024: 21 · 2023: 16 · 2022: 26 · 2021: 25 · 2020: 23 · 2019: 29 · 2018: 6 · 2016: 1
- FWCI
- 47.21
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Institute on Drug Abuse (P30DA023026)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Education › Child Development and Digital Technology
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Keywords
- smartphones, adolescents, mental health, online behavior, screen time, individual differences
- MeSH terms
- Problem Behavior, Adolescent Health, Smartphone, Adolescent, Adolescent Behavior, Adult, Age Factors, Child, Europe, Family Relations, Female, Humans, Interpersonal Relations, Male, Mental Health, Pregnancy, Safety, Social Behavior, Social Class, Suicide, Time Factors, United States, Friends, Vulnerable Populations, Young Adult, Social Media
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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.
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