cell phone

Importance: Increasing child and adolescent use of social media, video games, and mobile phones has raised concerns about potential links to youth mental health problems. Prior research has largely focused on total screen time rather than longitudinal addictive use trajectories.

Objectives: To identify trajectories of addictive use of social media, mobile phones, and video games and to examine their associations with suicidal behaviors and ideation and mental health outcomes among youths.

Design, setting, and participants: Cohort study analyzing data from baseline through year 4 follow-up in the Adolescent Brain Cognitive Development Study (2016-2022), with population-based samples from 21 US sites.

Exposures: Addictive use of social media, mobile phones, and video games using validated child-reported measures from year 2, year 3, and year 4 follow-up surveys.

Main outcomes and measures: Suicidal behaviors and ideation assessed using child- and parent-reported information via the Kiddie Schedule for Affective Disorders and Schizophrenia. Internalizing and externalizing symptoms were assessed using the parent-reported Child Behavior Checklist.

Results: The analytic sample (n = 4285) had a mean age of 10.0 (SD, 0.6) years; 47.9% were female; and 9.9% were Black, 19.4% Hispanic, and 58.7% White. Latent class linear mixed models identified 3 addictive use trajectories for social media and mobile phones and 2 for video games. Nearly one-third of participants had an increasing addictive use trajectory for social media or mobile phones beginning at age 11 years. In adjusted models, increasing addictive use trajectories were associated with higher risks of suicide-related outcomes than low addictive use trajectories (eg, increasing addictive use of social media had a risk ratio of 2.14 [95% CI, 1.61-2.85] for suicidal behaviors). High addictive use trajectories for all screen types were associated with suicide-related outcomes (eg, high-peaking addictive use of social media had a risk ratio of 2.39 [95% CI, 1.66-3.43] for suicidal behaviors). The high video game addictive use trajectory showed the largest relative difference in internalizing symptoms (T score difference, 2.03 [95% CI, 1.45-2.61]), and the increasing social media addictive use trajectory for externalizing symptoms (T score difference, 1.05 [95% CI, 0.54-1.56]), compared with low addictive use trajectories. Total screen time at baseline was not associated with outcomes.

Conclusions and relevance: High or increasing trajectories of addictive use of social media, mobile phones, or video games were common in early adolescents. Both high and increasing addictive screen use trajectories were associated with suicidal behaviors and ideation and worse mental health.

Author/s:

Yunyu Xiao, PhD, Yuan Meng, PhD, Timothy T. Brown, PhD

Beyond Screen Time—Addictive Screen Use Patterns and Adolescent Mental Health

Megan George — Fri, 25 Jul 2025 13:35:26 +0000

Date Added:

July 25, 2025

Journal/Publication:

JAMA

Publication Date:

June 18, 2025

URL:

Beyond Screen Time—Addictive Screen Use Patterns and Adolescent Mental Health

Type:

Meta-analyses, Reviews, and Guidelines

DOI (1):

10.1001/jama.2025.8135

Keywords

PMID (1):

40531495

MeSH

A review of the characteristics and identification of addictive screen use patterns among adolescents. James W. Mold, MD, MPH

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Screen use, the time spent engaging with electronic devices such as mobile phones and tablets, can become addictive when individuals experience difficulty stopping despite attempts to do so, as well as symptoms of withdrawal, tolerance, conflict, and relapse.

Author/s:

Jason M Nagata, Christiane K Helmer, Abubakr A Al-Shoaibi

Mobile phone text messaging and app-based interventions for smoking cessation

Devin Evans — Mon, 08 Mar 2021 06:00:00 +0000

Date Added:

March 8, 2021

Journal/Publication:

Cochrane Database System Review

Publication Date:

October 22, 2019

Issue:

Volume:

URL:

Mobile phone text messaging and app-based interventions for smoking cessation

Type:

Meta-analyses, Reviews, and Guidelines

Format:

Article

DOI (1):

10.1002/14651858.CD006611.pub5

Keywords

PMID (1):

31638271

MeSH

Text messaging strategies can increase smoking cessation rates by 50-60%. James W. Mold, MD, MPH

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Background: Mobile phone-based smoking cessation support (mCessation) offers the opportunity to provide behavioural support to those who cannot or do not want face-to-face support. In addition, mCessation can be automated and therefore provided affordably even in resource-poor settings. This is an update of a Cochrane Review first published in 2006, and previously updated in 2009 and 2012.

Objectives: To determine whether mobile phone-based smoking cessation interventions increase smoking cessation rates in people who smoke.

Search methods: For this update, we searched the Cochrane Tobacco Addiction Group's Specialised Register, along with clinicaltrials.gov and the ICTRP. The date of the most recent searches was 29 October 2018.

Selection criteria: Participants were smokers of any age. Eligible interventions were those testing any type of predominantly mobile phone-based programme (such as text messages (or smartphone app) for smoking cessation. We included randomised controlled trials with smoking cessation outcomes reported at at least six-month follow-up.

Data collection and analysis: We used standard methodological procedures described in the Cochrane Handbook for Systematic Reviews of Interventions. We performed both study eligibility checks and data extraction in duplicate. We performed meta-analyses of the most stringent measures of abstinence at six months' follow-up or longer, using a Mantel-Haenszel random-effects method, pooling studies with similar interventions and similar comparators to calculate risk ratios (RR) and their corresponding 95% confidence intervals (CI). We conducted analyses including all randomised (with dropouts counted as still smoking) and complete cases only.

Main results: This review includes 26 studies (33,849 participants). Overall, we judged 13 studies to be at low risk of bias, three at high risk, and the remainder at unclear risk. Settings and recruitment procedures varied across studies, but most studies were conducted in high-income countries. There was moderate-certainty evidence, limited by inconsistency, that automated text messaging interventions were more effective than minimal smoking cessation support (RR 1.54, 95% CI 1.19 to 2.00; I2 = 71%; 13 studies, 14,133 participants). There was also moderate-certainty evidence, limited by imprecision, that text messaging added to other smoking cessation interventions was more effective than the other smoking cessation interventions alone (RR 1.59, 95% CI 1.09 to 2.33; I2 = 0%, 4 studies, 997 participants). Two studies comparing text messaging with other smoking cessation interventions, and three studies comparing high- and low-intensity messaging, did not show significant differences between groups (RR 0.92 95% CI 0.61 to 1.40; I2 = 27%; 2 studies, 2238 participants; and RR 1.00, 95% CI 0.95 to 1.06; I2 = 0%, 3 studies, 12,985 participants, respectively) but confidence intervals were wide in the former comparison. Five studies compared a smoking cessation smartphone app with lower-intensity smoking cessation support (either a lower-intensity app or non-app minimal support). We pooled the evidence and deemed it to be of very low certainty due to inconsistency and serious imprecision. It provided no evidence that smartphone apps improved the likelihood of smoking cessation (RR 1.00, 95% CI 0.66 to 1.52; I2 = 59%; 5 studies, 3079 participants). Other smartphone apps tested differed from the apps included in the analysis, as two used contingency management and one combined text messaging with an app, and so we did not pool them. Using complete case data as opposed to using data from all participants randomised did not substantially alter the findings.

Authors' conclusions: There is moderate-certainty evidence that automated text message-based smoking cessation interventions result in greater quit rates than minimal smoking cessation support. There is moderate-certainty evidence of the benefit of text messaging interventions in addition to other smoking cessation support in comparison with that smoking cessation support alone. The evidence comparing smartphone apps with less intensive support was of very low certainty, and more randomised controlled trials are needed to test these interventions.

Author/s:

Whittaker, Robyn, McRobbie, Hayden, Bullen, Chris, Rodgers, Anthony, Gu, Yulong, Dobson, Rosie