Year : 2021 | Volume
: 10 | Issue : 2 | Page : 152--156
Anthropometric measures in risk prediction for type 2 diabetes mellitus? – A cross-sectional study in regular athletes
Shambo Samrat Samajdar1, Shatavisa Mukherjee1, Sabnam Ara Begum2, Sumalya Sen1, Santanu Kumar Tripathi1
1 Department of Clinical and Experimental Pharmacology, School of Tropical Medicine, Kolkata, West Bengal, India
2 Department of Pharmacology, R G Kar Medical College and Hospital, Kolkata, West Bengal, India
BACKGROUND: Obesity has been an increasing problem globally, and attempts have been made to identify the best anthropometric predictor of chronic diseases in various populations. Owing to increased cost and methodological complexities, imaging diagnostics has been a challenge in resource constraint settings. Thus, anthropometric markers have been assumed to be a better predictor in this regard. Addressing the dearth of research in this arena from this part of the country, the present study was conducted in regular footballers who were assessed for their anthropometric parameters as a probable risk indicator for type 2 diabetes mellitus (T2DM).
MATERIALS AND METHODS: This cross-sectional study involved 136 athletes, who were screened for risk factors and assessed for their measures such as height, weight, body circumferences, fat level, skeletal muscle, and skinfold thickness. Baseline laboratory investigations of serum glutamic-oxaloacetic transaminase (SGOT), serum glutamic-pyruvic transaminase, fasting glucose, and insulin were done. Homeostatic model assessment of insulin resistance (HOMA-IR) was assessed for all the participants. A 3-day dietary recall history was obtained from all respondents for calculation of total nutrient intake.
RESULTS: The mean age of respondents was 13.96 ± 1.91 years. While body mass index was recorded in normal range for 41 participants, 94 were in the “under” range and 1 was overweight. The mean waist, hip, and mid-thigh circumferences were 65.8 cm, 72.15 cm, and 43.86 cm, respectively. HOMA-IR derangement was noted in 11 participants. Increased fasting glucose and SGOT levels were noted in 9 participants, respectively.
CONCLUSION: Anthropometric measures may serve as an easy and inexpensive marker for T2DM prediction. However, assessment of its utility across genders and various subgroup populations mandates further research.
Dr. Shatavisa Mukherjee
Department of Clinical and Experimental Pharmacology, School of Tropical Medicine, Kolkata - 700 073, West Bengal
|How to cite this article:|
Samajdar SS, Mukherjee S, Begum SA, Sen S, Tripathi SK. Anthropometric measures in risk prediction for type 2 diabetes mellitus? – A cross-sectional study in regular athletes.Int J Health Allied Sci 2021;10:152-156
|How to cite this URL:|
Samajdar SS, Mukherjee S, Begum SA, Sen S, Tripathi SK. Anthropometric measures in risk prediction for type 2 diabetes mellitus? – A cross-sectional study in regular athletes. Int J Health Allied Sci [serial online] 2021 [cited 2023 Oct 1 ];10:152-156
Available from: https://www.ijhas.in/article.asp?issn=2278-344X;year=2021;volume=10;issue=2;spage=152;epage=156;aulast=Samajdar;type=0