Walk And Dexa Test Predicts T2dm By Appendicular Right Lateralisation Loss
Seema Tewari*, Dilip Verma, Manish Bajpai, Ganesh Yadav, Anit Parihar and KK Sawlani
Department of Physiology, King Geroge Medical College, India
*Corresponding Author: Seema Tewari, Department of Physiology, King Geroge Medical College, India.
Received:
August 25, 2025; Published: September 25, 2025
Abstract
Background: T2DM causes sarcopenia is a well-known condition now. Sarcopenia is being assessed by DXA and WALK test. We have assessed in our study that whether left cerebral dominance is hampered in T2DM and are we able to diagnose it via DXA and WALK test.
Aims/Study Design: DXA and walk test is done in T2DM and compared with normal person of similar age groups to predict loss of left cerebral dominance.
Materials and Methods: DXA and WALK test is used to compare Lean Muscle Mass (Sarcopenic Diabetic vs. Normal), Comparison of Grip Strength, Comparison of Gait Speed, to calculate and correlate the Arm Lean (L/R) vs. Grip Strength, Comparison of Android vs. Gynoid Lean Distribution in T2DM patients (n = 22) with history more than 5 years with mean HBA1C of 7.5 and compared with normal persons (n = 22).
Results: Many combinations were compared and corelated with each other of T2DM and normal person. Statistically significant correlations were seen of right leg, right grip strength when compared with right side and also with normal subjects.
Conclusions: In T2DM, Loss of right appendicular lateralisation (left cerebral dominance) as indicated by DEXA and walk test can predict left cerebral dysfunction in near future but fMRI may give a better prospective and objectivity with excellent corelation between these tests.
Keywords: Dexa; T2DM; Walk Tests; Left Cerebral Dominance
References
- Corballis MC. “Left Brain, Right Brain: Facts and Fantasies”. PLoS Biology1 (2014): e1001767.
- Borga M., et al. “Advanced body composition assess ment: from body mass index to body composition profiling”. Journal of Investigative Medicine 66 (2018): 1-9.
- Pietrobelli A., et al. “Dual-energy X-ray absorptiometry body composition model: review of physi cal concepts”. American Journal of Physiology 271 (1996): E941-951.
- Prior BM., et al. “In vivo validation of whole body composition estimates from dual-energy X-ray absorptiometry”. Journal of Applied Physiology 83 (1997): 623-630.
- Borga M., et al. “Advanced body composition assessment: from body mass index to body composition profiling”. Journal of Investigative Medicine 66 (2018): 1-9.
- Toombs RJ., et al. “The impact of recent technological advances on the trueness and precision of DXA to assess body composition”. Obesity 20 (2012): 30-39.
- Laskey MA. “Dual-energy X-ray absorptiometry and body composition”. Nutrition 12 (1996): 45-51.
- International Diabetes Federation. IDF Diabetes Atlas. 6th Brussels, Belgium, International Diabetes Federation (2013).
- McKeigue PM., et al. “Relation of central obesity and insulin resistance with high diabetes prevalence and cardiovascular risk in South Asians”. Lancet 337 (1991): 382 386.
- Dowse GK. “Incidence of NIDDM and the natural history of IGT in Pacific and Indian Ocean populations”. Diabetes Research and Clinical Practice 34 (1996): S45-S50.
- Hippisley-Cox J., et al. “Predicting risk of type 2 diabetes in England and Wales: prospective derivation and validation of QDScore”. BMJ 338 (2009): b880.
- Mohan V., et al. “Incidence of diabetes and pre-diabetes in a selected urban south Indian population (CUPS-19)”. Journal of the Association of Physicians of India 56 (2008): 152-157.
- Deepa M., et al. “The Chennai Urban Rural Epidemiology Study (CURES) study design and methodology (urban component) (CURES-I)”. Journal of the Association of Physicians of India 51 (2003): 863-870.
- Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III)”. JAMA 285 (2001): 2486-2497.
- Matthews DR., et al. “Homeostasis model assessment: insulin resistance and beta cell function from fasting plasma glucose and insulin concentrations in man”. Diabetologia 28 (1985): 412-419.
- Deepa M., et al. “Prevalence of metabolic syndrome using WHO, ATPIII and IDF definitions in Asian Indians: the Chennai Urban Rural Epidemiology Study (CURES-34)”. Diabetes/Metabolism Research and Reviews 23 (2007): 127-134.
- Alvin C Powers., et al. “Diabetes Mellitus: Diagnosis, Classification and Pathophysiology. HARRISON 3100 PAGE NUMBER 21ST Edition (2006).
- Mohan V., et al. “Secular trends in the prevalence of diabetes and impaired glucose tolerance in urban South Indiadthe Chennai Urban Rural Epidemiology Study (CURES-17)”. Diabetologia 49 (2006): 1175-1178.
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