Evidence map›Paper›PMID 38770510›Full record

ReviewCureus2024

Social Media Effects Regarding Eating Disorders and Body Image in Young Adolescents.

Khushi Suhag, Shyambabu Rauniyar

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 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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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

2 authors.

Khushi SuhagMedicine, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.
Shyambabu RauniyarAnatomy, Jawaharlal Nehru Medical College, Datta Meghe Institute of Higher Education and Research, Wardha, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The following study investigates how eating problems and young people's body image are affected by social media. As social media becomes more pervasive, young teenagers are exposed to many pictures, messages, and influencers encouraging unachievable body and beauty ideals. The study investigates the link between social media usage and the development of binge eating disorder patterns and undesirable body image judgments. It also sheds light on the influence that so-called social media influencers and celebrities have on encouraging disordered eating patterns and forming negative body image perceptions. On websites like Instagram and TikTok, exposure to deliberately selected photographs of "ideal" body types encourages body dissatisfaction and poor self-worth. The research emphasizes social media's possible harm to this vulnerable group's physical and mental health by examining pertinent literature and empirical evidence. It also looks at potential safeguards and methods for fostering good mental and physical health in early adolescents during pervasive social networking site use. Promoting fad diets, weight-loss aids, and the exaltation of extreme thinness aids in the normalization of harmful behaviours. Social media's negative consequences on eating disorders and body image in young teenagers are highlighted by this study in its conclusion. As a critical developmental stage, early adolescence is vulnerable due to the effect of social media, which could normalize unhealthy behaviours and maintain negative body image and insecurities. The findings underscore the need for targeted interventions and educational programs to mitigate the adverse effects of eating problems and young people's body image in light of social media.

Indexed as

body dysmorphiaconsumingfacebookinstagraminternetonlinesocialsocial networktiktoktwitter

Identifiers

PMID38770510
PMCPMC11103119

What OpenQuestion holds

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LicenceCC BY
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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.