Neuropathy detection with quality-of-life questionnaire in obese inactive, prediabetes and type 2 diabetes individuals

Abstract

Background: Different research populations, such as those who are overweight, obese, and inactive (OO), prediabetes and in addition to those who have T2DM, gave valuable insight into the optimal application of fundamental screening procedures for detecting early stages of diabetes peripheral neuropathy. Aim: The present study aim is to determine to what extent, the QOL–DN questionnaire detect early DPN in an OO and T2DM population? Material & methods: After talking about it, the Human Ethics Committee at the institution gave the study protocol its approval. This study uses quantitative, observational, and correlational methods. The people in this study were OO, which stands for overweight, obese, and inactive. People were put into different groups for further study based on their levels of glycated hemoglobin (HbA1C) and their previous diagnoses. The participants in the study were given the option to fill out questionnaires once they had been screened and granted permission to take part in the research. This was done before going on to other methods of data collection. Results: It was found that total QOL-DN scores had a negative correlation with both SNAPs [R, p =.045; L, p =.048], as did the Symptoms subscale (both SNAPs] [R, p =.036; L, p =.021]. The RSCV was found to have a correlation with the small fiber subscale of the QOL-DN (R, p =.047). The sensitivity of the QOL-DN components ranged anywhere from 0% to 65.4%, and their specificity could be anywhere from 12.5% to 87.50%. Conclusion: The present study conclude that future research should continue to focus on refining and developing screening procedures that can be performed at a reasonable cost to detect asymptomatic DPN as soon as possible. When administered to patients with OO, PD, and T2D, the QOL-DN can accurately predict the neuropathy criterion standard components.