Background:Deranged body fat and muscle mass are aftermaths of uncontrolled diabetes. Anthropometric methods like body mass index (BMI) do not give qualitative inferences like total body fat (TBF), visceral fat (VF) or subcutaneous fat (SF) that can be given by bio-electrical impedance analysis (BIA). We studied body composition of type 2 diabetics in comparison to controls matched by age-sex, weight and BMI separately.Methods:Seventy-eight under-treatment type 2 diabetics of either sex with known glycemic and lipidemic control and equal number of controls with three patterns of matching were taken from our city. We derived parameters of body composition in both groups by Omron Karada Scan (Model HBF-510, China), using the principle of tetra poplar BIA and compared them for statistical significance.Results:We found significantly more SF (30.47% ± 7.73%), VF (11.94% ± 4.97%) and TBF (33.96% ± 6.07%) and significantly lesser skeletal muscle mass (23.39% ± 4.49%) in type 2 diabetics as compared to controls, persisting even after matching with weight or BMI. On assessing qualitatively, the risk of high VF, high TBF, low skeletal muscle mass was significantly high in type 2 diabetics, which were 10.41, 3.01, 9.21 respectively for comparable BMI and 6.78, 3.51, 11.93 respectively for comparable weight.Conclusions:BIA reveals that type 2 diabetics have more ectopic fat on the expense of skeletal muscle that persists even after matching by weight or BMI, both quantitatively and qualitatively. Measurement of body composition can be included as a primary care strategy to motivate lifestyle modifications while managing metabolic derangements of type 2 diabetes.
The measurement of visual reaction time has been used to evaluate the processing speed of Central Nervous System and the coordination between the sensory and motor systems. Reaction time is influenced by different factors. Effect of gender difference on visual reaction time has been observed in this study. Present study was carried out on 100 medical students of Bhavnagar medical college between the age of 17-20. Out of them 50 were boys and 50 were girls. Study was done under three module. In first module detail medical history of subject were taken, in second module visual reaction time of subjects was measured using reaction time instrument and in third module statical analysis was done by unpaired 't' test. From study it was concluded that reaction time is less in boys than girls.
Reaction is purposeful voluntary response to different stimuli as visual or auditory stimuli. Auditory reaction time is time required to response to auditory stimuli. Quickness of response is very important in games like basketball. This study was conducted to compare auditory reaction time of basketball players and healthy controls. The auditory reaction time was measured by the reaction time instrument in healthy controls and basketball players. Simple reaction time and choice reaction time measured. During the reaction time testing, auditory stimuli were given for three times and minimum reaction time was taken as the final reaction time for that sensory modality of that subject. The results were statistically analyzed and were recorded as mean + standard deviation and student’s unpaired t-test was applied to check the level of significance. The study shows that basketball players have shorter reaction time than healthy controls. As reaction time gives the information how fast a person gives a response to sensory stimuli, it is a good indicator of performance in reactive sports like basketball. Sportsman should be trained to improve their reaction time to improve their performance
Background:Peripheral arterial disease (PAD) is an aftermath of type 2 diabetes posing a significant health problem in developing countries. Its silent progression warrants presymptomatic screening by ankle brachial index (ABI), which cannot be applied to the whole population. We tried to measure the burden of PAD in diabetics of this region correlating various risk factors for it quantitatively and qualitatively.Materials and Methods:From various out-patient departments, 110 known under treatment type 2 diabetics were recruited. They underwent thorough assessment for general, symptomatic, medical history and risk factor screening that included 11 well-known risk factors. ABI was measured by Versadop instrument using the standard protocol with ABI <0.9 being considered as abnormal.Results:There was a high prevalence of asymptomatism, hypertension, positive family history and age <52 years in the study group. Relative risk was highest for asymptomatism followed by high body mass index, hyperlipidemia, cardiovascular disease and smoking, but less significant for age, gender, fasting sugar level, family history. More adverse ABI profile was noticed with the increase in number of five modifiable risk factors cumulatively.Conclusion:There was a high prevalence of low ABI in our region that is an evidence of PAD mainly affected by risk factors many of which were modifiable. Defining those who are at risk to develop PAD in Diabetes, one can use ABI better in early screening and prompt treatment of this complication to stop its further progression and primary prevention can be served as felt the need for health-care effectively.
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