Evidence map›Paper›PMID 38779255›Full record

ReviewCureus2024

A Comprehensive Review on Digital Detox: A Newer Health and Wellness Trend in the Current Era.

Gaurang Anandpara, Ashish Kharadi, Prakash Vidja, Yashkumar Chauhan, Swati Mahajan, Jitendra Patel

Abstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
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.

Gaurang AnandparaBiochemistry, Chimanlal Ujamshibhai Shah Medical College & Hospital, Surendranagar, IND.
Ashish KharadiSurgery, Gujarat Medical Education and Research Society Medical College, Godhra, IND.
Prakash VidjaPathology, Pre Cure Pathology Laboratory, Morbi, IND.
Yashkumar ChauhanMedicine, Smt. Nathiba Hargovandas Lakhmichand Municipal Medical College, Ahmedabad, IND.
Swati MahajanPhysiology, Gujarat Medical Education and Research Society Medical College, Godhra, IND.
Jitendra PatelPhysiology, Gujarat Medical Education and Research Society Medical College, Vadnagar, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research investigates the effects of an electronic detox treatment on the utilization of social media and smartphones, addiction levels, and the general health of individuals. Remarkably, individuals discovered that the digital detox was less challenging than anticipated, with a significant number expressing sensations of pleasure and alleviation. Although a few individuals encountered instances of alienation and solitude, the majority managed to adapt to the limited availability of the internet. Notably, individuals saw heightened tedium and replaced their use of social networking sites with additional tasks using screens. After the procedure, measures demonstrated favorable or neutral enhancements in addictions and health-related results. The quantitative findings indicate an increased understanding of online conduct and the use of self-regulating strategies. Concrete recommendations put forward by respondents include reducing stringent deadlines, implementing personalized limitations, and devising tactics to regulate alerts and their use. These observations may be used to shape subsequent digital detox programs in order to improve their efficacy and increase participation from participants.

Indexed as

behaviourdigital detoxpsychological barrierstechnologywellbeing

Identifiers

PMID38779255
PMCPMC11109987

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.