Evidence map›Paper›PMID 39464975›Full record

ArticleJournal of family medicine and primary care2024

"

Margi B Sheth, Raman D Damor, Kalpita S Shringarpure, Darsh T Patel, Logan Manikam

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Margi B ShethDepartment of Community Medicine, GCS Medical College, Hospital and Research, Ahmedabad, Gujarat, India.
Raman D DamorDepartment of Community Medicine, Medical College Baroda, Vadodara, Gujarat, India.
Kalpita S ShringarpureDepartment of Community Medicine, Medical College Baroda, Vadodara, Gujarat, India.
Darsh T PatelMaharaja Sayajirao University, Gujarat, India.
Logan ManikamAceso Global Health Consultants Pte Limited, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Adolescence is a crucial part of life characterised by rapid body changes that can be influenced by perceptions and misinformation regarding their body image. Body image is usually associated with self-esteem and self-worth. Therefore, it is important to address this issue at this transitional time. This study aims to understand the perception of body image and its correlation with nutritional status among first-year medical students. Methods: A cross-sectional study was conducted among first-year medical students enrolled in the MBBS curriculum. Data related to perception of body image were collected through a self-administered, pre-tested questionnaire. Height and weight were taken by the principal investigator at the time of data collection and body mass index (BMI) was calculated according to Asian criteria for BMI. Kappa statistics were used for the agreement between self-perceived body image and BMI. Results: A total of 234 out of the 250 students enrolled in the first year gave consent for the study. The median (interquartile range [IQR]) age of the students was 18 (17-19) years and 72% were male students. One-fourth of the students were dissatisfied with their weight (26.9%) followed by height (25%). The Kappa statistics for agreement between BMI and self-perception about body weight was 0.373 (95% confidence interval [CI], standard error (SE) of Kappa = 0.048), showing poor agreement. Conclusion: One-fourth of the students were dissatisfied with their physical appearance. The agreement between perceived body weight and nutritional status was poor (64.53%).

Indexed as

Adolescentsbody mass indexself-perceived body image

Identifiers

PMID39464975
PMCPMC11504792

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.