Pre-diabetes is a stage in which blood glucose levels are higher than normal but not high enough to call as diabetes. The aim of study was to determine the association of body mass index with pre-diabetes. A sample of 50 subjects, 25 prediabetics and 25 normal healthy individuals between the ages 20-50 years participated in our study. Anthropometric measurements, educational level and HbA1C level of participants were recorded. Statistical analysis was done using SPSS 20. All parameters were summarized using mean and standard deviation. Students t-test was used to compare mean differences in all the parameters between the two groups. A p-value ≤ 0.05 were considered significant. The mean BMI of the normal subjects and prediabetics were 23.07 ± 2.19 and 27.84 ± 1.88 Kg/m 2 respectively. Our study showed that pre-diabetic subjects had a higher BMI level compared to normal healthy subjects. Proper maintenance of body weight as per height is of utmost importance to lead a normal heathy life and controlling BMI can also prevent the progression of diabetes from prediabetes.
Background: Prediabetes is the early stage of Type 2 diabetes mellitus. Altered glucose metabolism, atherosclerosis, and inflammation of blood vessels are seen in prediabetes. This may lead to neurodegeneration and cognitive decline. Eventrelated potential P300 can easily detect cognitive decline before the appearance of any neurological manifestations. Aims and Objective: The aim of this study is to assess and compare the P300 latencies in normal subjects and individuals with prediabetes. Materials and Methods: The study included 25 individuals with prediabetes and 25 healthy controls between the age group of 20 and 50 years. After obtaining informed consent, the study subjects were evaluated by history, general physical, and systemic examination. Serum HbA1c level was estimated. P300 was recorded using the standard auditory oddball paradigm from the vertex (Fz, Cz, and Pz) in response to stimuli presented monaurally through head phones. The peak latencies of P300 of target stimuli were calculated. Results: Mean P300 latency in normal individuals was 305.15 ms ± 27.80 and in individuals with prediabetes 383.98 ms ± 22.02 which is statistically significant (P ˂ 0.05). Conclusion: Increase in P300 latencies indicates the existence of a cognitive decline in individuals with prediabetes compared to healthy individuals.
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