Evidence map›Paper›PMID 39408146›Full record

ReviewHealthcare (Basel, Switzerland)2024

Social Media Influences on Dietary Awareness in Children.

Victor Prybutok, Gayle Prybutok, Jesudhas Yogarajah

Abstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Victor PrybutokDepartment of Information Technology and Decision Sciences, G. Brint Ryan College of Business, University of North Texas, Denton, TX 76203, USA.ORCID 0000-0003-3810-9039
Gayle PrybutokRehabilitation & Health Services Department, University of North Texas, Denton, TX 76203, USA.ORCID 0000-0001-8637-780X
Jesudhas YogarajahDepartment of Information Science, University of North Texas, Denton, TX 76203, USA.ORCID 0009-0000-6113-2312

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial media platforms have become increasingly influential channels for discussing various aspects of children's health, including dietary habits and food choices. This research explores the impact of social media on childhood dietary habits regarding the foods children consume by analyzing published findings about online videos and other social media platforms.

methodsFrom a pool of 9646 articles available on Google Scholar, Science Direct, Web of Science, and ProQuest, 25 were selected for inclusion in this systematic literature review after meeting the qualifying criteria. The screened papers contained clinical studies, cross-sectional studies, and editorials published in English.

resultsA review of these articles revealed that individuals' communication with friends via social media significantly enhanced their comprehension of conversations related to weight management. The results of this research inform efforts to combat poor diets and promote overall well-being among children at an earlier stage when personal interactions are likely limited. To promote the healthy growth of children, it is essential that the videos they engage with offer them appropriate guidance on maintaining a nutritious diet. Ultimately, this research provides insights into how social media creates environments conducive to the well-being of children.

conclusionsAs a result, social media can serve as a valuable resource to help mitigate the prevalence of obesity in this vulnerable population.

Indexed as

childrens’ foodhealthy dietobesitysocial mediaweight management

Identifiers

PMID39408146
PMCPMC11475929

What OpenQuestion holds

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Registered trials

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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.