ReviewObesity pillars2025
Beyond BMI: Exploring obesity trends in the south Asian region.
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.
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.
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.
Who cites it
10 citing papers in PubMed.
- Interactions Between Genetic Risk and Macronutrient Intake on Obesity-Related Traits in Sri Lankan Adults.Nutrients · 2026Article
- Association Between Anthropometric Indices and Presence of Type 2 Diabetes Mellitus in Obesity.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026Article
- Burden of Obesity in India: Need for Policy Changes to Attain Highest Possible Level of Health and Well-Being.Clinical obesity · 2026Review
- The impact of sleep quality on body weight among young adults: a cross-sectional study.BMC research notes · 2025Article
- Sarcopenic obesity and risk of falls: findings in Middle-aged and older Chinese population from CHARLS.Aging clinical and experimental research · 2025Article
- Posttransplant diabetes mellitus (PTDM) frequency, risk factors, and outcomes: a single-center experience.BMC nephrology · 2025Observational
- Application of an Ecological Approach to Assessment of Nutrition in School-Aged Children-A Report from the "Biomarkers of Nutrition for Development: Knowledge Indicating Dietary Sufficiency (BOND-KIDS)" Project Working Group 3.The Journal of nutrition · 2025Review
- Body Muscle-to-Fat Ratio (BMFR) as a Promising Anthropometric Index for Use in the Evaluation of Insulin Resistance and Metabolic Disease Risk: a Narrative Review.Current obesity reports · 2025Review
- Age-Related Trends in Dual-Energy X-Ray Absorptiometry-Measured Adiposity and Their Clinical Relevance: A Multicenter Cross-Sectional Study of Korean Peri- and Postmenopausal Women.Medicina (Kaunas, Lithuania) · 2025Article
- Association of BMI Grading with Aortic Pulse Wave Velocity and Augmentation Index in a Population of West India.Nigerian medical journal : journal of the Nigeria Medical AssociationReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What Socratic holds
Registered trials
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.