Evidence map›Paper›PMID 36373487›Full record

ArticleNursing open2023

Effect of digital detox program on electronic screen syndrome among preparatory school students.

Sayeda Mohamed Mohamed, Lamiaa Saad Abdallah, Fatma Nagy Kotb Ali

Open access · goldFull text read
In one paragraph

Article in Nursing open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
5.3field-weighted citation impact, top 4% of its field
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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

3 authors at 1 institution in 1 country.

Sayeda Mohamed MohamedPsychiatric Mental Health Nursing, Faculty of Nursing, Cairo University, Cairo, Egypt.ORCID 0000-0002-0624-3033
Lamiaa Saad AbdallahCommunity Health Nursing, Faculty of Nursing, Cairo University, Cairo, Egypt.ORCID 0000-0001-9205-1363
Fatma Nagy Kotb AliPsychiatric Mental Health Nursing, Faculty of Nursing, El Mania University, Cairo, Egypt.
Cairo University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe aim of this study was to determine the digital detox programme's impact on the electronic screen syndrome among preparatory school students.

designA quasi-experimental pre- and posttest group was used.

methodsTwo preparatory governmental schools. SAMPLE: purposive sample consists of 105 students. TOOLS: Two tools used for data collection: Student's datasheet and Electronic Screen Addiction Scale. The data collection period took six months, from September 2021 to February 2022.

resultsThe high rate of screen addiction among students dropped to 14.3% in the posttest compared with 20.0% in the pre-test. Moreover, the students' proportion with moderate screen addiction dropped from 65.7% on the pre-test to 43.8% on the posttest. Furthermore, screen addiction students with lower levels were about 41.9% in the posttest and 14.3% in the pre-test.

conclusionsThere was a highly statistically significant difference between school students' total electronic screen scores in the pre- and posttest. A preventive care programme is recommended for high school children and helps raise screen addiction's awareness and its negative consequences. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Indexed as

Behavior, AddictivePreventive Health ServicesChildData CollectionHumansStudentsdigital detox programmeelectronic screen syndromepreparatory school students

Identifiers

PMID36373487
PMCPMC10006589
OpenAlexW4308953587

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read32
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.