Evidence map›Paper›PMID 37388585›Full record

ArticleCureus2023

Obesity: An Instagram Analysis.

Umme Aiman, Maneeth Mylavarapu, Namra V Gohil, Shubham Holge, Ashwin Gajre, Kodali Akhila, Nitin M Ghadge

Abstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  3. Content analysis of oral hygiene instruction posts on Instagram: a cross-sectional study.Canadian journal of dental hygiene : CJDH = Journal canadien de l'hygiene dentaire : JCHD · 2025
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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

7 authors.

Umme AimanDepartment of Internal Medicine, Bhaskar Medical College and Hospitals, Hyderabad, IND.
Maneeth MylavarapuDepartment of Public Health, Adelphi University, Garden City, USA.
Namra V GohilInternal Medicine, Medical College Baroda, Vadodara, IND.
Shubham HolgeInternal Medicine, Government Medical College and Hospital, Sindhudurg, IND.
Ashwin GajreInternal Medicine, Lokmanya Tilak Municipal Medical College, Mumbai, IND.
Kodali AkhilaMedicine, Andhra Medical College, Visakhapatnam, IND.
Nitin M GhadgeCommunicable Disease, New York State Department of Health, Albany, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction Although the pathophysiology of obesity is widely recognized, its psychological and social aspects have received more attention in treatment and prevention. Social media technological advancements offer a quicker, more accessible, and broader platform for the dissemination of information. Hence, social media may significantly impact eating habits and body image development in children and adolescents, potentially turning into a risk factor for obesity if the behaviors being pushed are not consistent with a healthy lifestyle. Aim This study aims to evaluate the quality and reliability of content being circulated on Instagram related to the disease "obesity." Methods A cross-sectional observational study was conducted virtually over a period of ten days. Six hashtags related to the disease "obesity" were screened. Posts in the languages "English" or "Hindi" containing information about the disease "obesity" were included in the study. A questionnaire was made to assess these posts based on various pre-determined categories: type of post, type of information circulated, quality, reliability, and correctness. Results After applying the inclusion criteria, 420 posts were included in our study. 84% of the relevant posts were images/posts, and 15% were videos. Only 17% were posted by doctors, while the health and wellness industry posted around 54.52%. Survivors/persons suffering from the disease contributed to 13.81%, while that from dietitians was 6.43%, and that from new agencies was only 1.19%. The number of correct posts by doctors, nurses, and hospitals was 54.93%, and others were 37.7%. The posts by doctors, nurses, and hospitals were more reliable compared to others (statistically significant p<0.05). Conclusion This study highlights the need for continued monitoring and evaluation of the social media platform Instagram for the spread of healthcare information.

Indexed as

digital healthhealthcare information.instagramobesitysocial media

Identifiers

PMID37388585
PMCPMC10300379

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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.