Evidence map›Paper›PMID 39810860›Full record

ReviewObesity pillars2025

Beyond BMI: Exploring obesity trends in the south Asian region.

Musarrat Riaz, Sidrah Lodhi

Abstract readReview
In one paragraph

Review in Obesity pillars, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Association Between Anthropometric Indices and Presence of Type 2 Diabetes Mellitus in Obesity.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Observational
  7. Review
  8. Review
  9. Article
  10. 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

2 authors.

Musarrat RiazEndocrinology National Institute of Diabetes and Endocrinology (NIDE) Dow University of Health Sciences, (Ojha campus), Karachi, Pakistan.
Sidrah LodhiEndocrinology, King Edward Medical University, Lahore, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Obesity is a global health challenge affecting individuals across all demographics. In South Asia, the traditional method of assessing obesity using Body Mass Index (BMI), may not account for factors such as fat distribution, muscle mass, or ethnic variations. Objective: This narrative review explores the multifaceted nature of obesity in South Asia, focusing on the region's demographic profiles and the socio-cultural and economic determinants shaping obesity trends. Additionally, the review critiques the limitations of BMI as an accurate measure of obesity in this diverse population. Methods: A comprehensive literature search was conducted to identify studies that address obesity trends in South Asia, with a focus on regional variations, influencing factors, and the limitations of BMI. Results: The review identifies significant variations in obesity prevalence across South Asian countries, influenced by cultural norms, economic disparities, and urbanization. The limitations of BMI as a tool for assessing obesity are highlighted, particularly in its inability to capture fat distribution and muscle mass variations specific to South Asian populations. Conclusions: Obesity in South Asia is shaped by complex demographic, cultural, and economic factors. While BMI is commonly used, it is insufficient for accurately assessing obesity in this population. More refined, context-specific measures are needed to better understand and address the growing obesity epidemic in South Asia.

Indexed as

Body mass indexEpidemiologyObesitySouth Asia

Identifiers

PMID39810860
PMCPMC11732094

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.