Evidence map›Paper›PMID 40026988›Full record

ReviewCureus2025

Digital Detox Strategies and Mental Health: A Comprehensive Scoping Review of Why, Where, and How.

Sajita Setia, Frank Gilbert, Michelle L Tichy, Julia Redpath, Neha Shahzad, Marisa E Marraccini

Registry-linked trialAbstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07467057 (Reducing Digital Distractions to Improve Time Management Among Nursing Students), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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.

NCT07467057 narecruitingnot on this mapstarted 2026, after this paper: background citation

Reducing Digital Distractions to Improve Time Management Among Nursing Students: A Quasi-Experimental Study of a Brief Digital Abstinence Intervention

TypeinterventionalSponsorCairo UniversityRan2026 to 2026Enrolled80ConditionsProblematic Smartphone Use, Digital Distraction, Time ManagementArmsDigital Abstinence Intervention
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Sajita SetiaDepartment of Health and Medical Education, Transform Medical Communications Limited, Auckland, NZL.
Frank GilbertDepartment of Psychology, Norfolk State University, Norfolk, USA.
Michelle L TichyDepartment of Psychology, Alfred University, New York, USA.
Julia RedpathDepartment of Psychology, Alfred University, New York, USA.
Neha ShahzadDepartment of Psychology, Alfred University, New York, USA.
Marisa E MarracciniSchool of Education, University of North Carolina Chapel Hill, Chapel Hill, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Excessive use of social media (SM) platforms and digital technology (DT), often driven by habitual scrolling due to adaptive feed experiences, has been linked to anxiety, sleep disturbances, and obsessive-compulsive behaviors while also exacerbating mental health concerns. Yet, the role of "digital detox", defined as a voluntary reduction or temporary cessation of device use, remains only partially understood as both a clinical and lifestyle intervention. This comprehensive scoping review was conducted to consolidate existing research on digital detox interventions and evaluate contextual factors that may influence their effectiveness for mental health and well-being. A targeted keyword search for "digital detox" was conducted in the PubMed database on December 12, 2024, yielding 34 initial results. This review followed the approach recommended by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) to identify, screen, and extract evidence from relevant studies as per pre-specified inclusion criteria. A total of 14 studies were found eligible, and data from these studies and their relevant references (totaling 640 citations) were extracted and synthesized. Our findings suggest that digital detox interventions may alleviate depression and problematic internet use, and individuals with higher baseline symptom severity appear to derive higher benefits. However, the impact on broader outcomes such as life satisfaction and overall well-being remains variable. Divergent intervention approaches, ranging from short-term SM abstinence to sustained, moderate device restrictions and individual differences in baseline severity of symptoms, coping styles, environmental pressures, and support systems, may contribute to different outcomes across various studies and systematic reviews. Overall, age, gender, baseline mental health, and range and duration of DT usage prior to detox are the key variables that may determine the effectiveness of digital detox interventions. Tailored DT usage in moderation, aligned with each individual's age, developmental stage, and academic needs, has greater benefits among younger populations, particularly adolescents and young adults, while mindful and regulated SM use is especially advantageous for female populations. However, other populations could also benefit, provided interventions address self-regulation challenges specific to adult lifestyles. Given the growing global prevalence of problematic smartphone use (PSU) and its documented comorbidity with psychiatric disorders, digital detox strategies have the potential to be integrated into clinical recommendations and policy initiatives. However, a framework for assessing intervention quality and long-term outcomes is essential.

Indexed as

digital dementiadigital detoxdigital downtimedigital technologymental healthphubbingproblematic smartphone useproblematic social media usescoping reviewsocial media

Identifiers

PMID40026988
PMCPMC11871965

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.