| Title: |
Unravelling the obesity maze in diabetic patients: A comparative analysis of classification methods |
| Authors: |
M Yogesh; Mansi Mody; Naresh Makwana; Samyak Shah; Jenish Patel; Samarth Rabadiya |
| Source: |
Journal of Family Medicine and Primary Care, Vol 13, Iss 6, Pp 2283-2288 (2024) |
| Publisher Information: |
Wolters Kluwer Medknow Publications |
| Publication Year: |
2024 |
| Collection: |
Directory of Open Access Journals: DOAJ Articles |
| Subject Terms: |
abdominal circumferences; bmi; body fat percentage; sensitivity; Medicine |
| Description: |
Background: Obesity is a significant health concern among individuals with type 2 diabetes mellitus (T2DM). Emerging evidence suggests that alternative measures, such as abdominal girth (AG) and body fat percentage (BF%), can provide a more accurate reflection of obesity-related metabolic risks in diabetic populations. This study aimed to compare the accuracy of different obesity classification methods, including BMI, AG, and BF%, among individuals with T2DM. Methodology: This was an observational cross-sectional study conducted among T2DM patients who came to the non-communicable diseases clinic of GG Govt Hospital, Jamnagar, Gujarat during the period of March–April 2023. Demographic and anthropometric information was collected. Body fat analysis was done using a validated Omron fat analyzer. Results: The study found the sensitivity of BMI in males and females as 41.6% and 45% against BF%, respectively. It also showed that the sensitivity of BMI in males and females was 38% and 40.7%, respectively, against AG. The present study also found a moderate positive correlation (r = 0.575) between AG and BF% in individuals with T2DM. Conclusion: The findings indicate that BF% and AG provide valuable insights into adiposity, surpassing the limitations of BMI as a measure of body composition. BF% is an indicator of body fat content, whereas AG serves as a proxy for central adiposity. The correlations between BF% and AG suggest that excess abdominal fat accumulation signifies increased body fat. By incorporating measures such as BF% and AG alongside BMI, clinicians can obtain a more comprehensive understanding of body composition and its relationship with metabolic abnormalities. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| Relation: |
https://journals.lww.com/10.4103/jfmpc.jfmpc_1255_23; https://doaj.org/toc/2249-4863; https://doaj.org/toc/2278-7135; https://doaj.org/article/daa5b4626fc045a8a54671a3bd90cbd4 |
| DOI: |
10.4103/jfmpc.jfmpc_1255_23 |
| Availability: |
https://doi.org/10.4103/jfmpc.jfmpc_1255_23; https://doaj.org/article/daa5b4626fc045a8a54671a3bd90cbd4 |
| Accession Number: |
edsbas.5B0BB893 |
| Database: |
BASE |