Clinical Prediction of Type 2 Diabetes Mellitus (T2DM) via Anthropometric and Biochemical Variations in <i>Prakriti</i>
Type 2 Diabetes Mellitus (T2DM) is a complicated multifactorial illness involving hereditary and external environmental variables. The symptoms typically appear gradually over a number of years without realizing it. This viewpoint is further supported by the Ayurvedic constitution concept (<i>...
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MDPI AG
2022-03-01
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| Series: | Diseases |
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| Online Access: | https://www.mdpi.com/2079-9721/10/1/15 |
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| author | Shriti Singh Neeraj Kumar Agrawal Girish Singh Sangeeta Gehlot Santosh Kumar Singh Rajesh Singh |
| author_facet | Shriti Singh Neeraj Kumar Agrawal Girish Singh Sangeeta Gehlot Santosh Kumar Singh Rajesh Singh |
| author_sort | Shriti Singh |
| collection | DOAJ |
| description | Type 2 Diabetes Mellitus (T2DM) is a complicated multifactorial illness involving hereditary and external environmental variables. The symptoms typically appear gradually over a number of years without realizing it. This viewpoint is further supported by the Ayurvedic constitution concept (<i>Prakriti</i>). <i>Prakriti</i> explains the biological variability that is observed in different individuals. This study was conducted a retrospective investigation to examine if there was a link between type 2 diabetes and an individual’s constitution based on anthropometric and biochemical characteristics. Physical and mental characteristics and anthropometric and biochemical markers were used to determine reported cases’ prevailing <i>Dosha Prakriti</i> (constitution). Based on biochemical and anthropometric data, significant differences in <i>Prakriti</i> were found between the case (T2DM patients) and control (person without diabetes) groups. The incidence of numerous secondary problems linked with T2DM patients was also evaluated according to their <i>Prakriti</i> types, which revealed a positive relationship. The three primary contributing parameters, such as waist-hip ratio, postprandial blood sugar, and serum creatinine, were correctly classified all person with or without diabetes subjects to 90.6% of the time, whereas the constitution-wise study classified person with diabetes and without diabetes individuals of <i>Pitta</i> and <i>Kapha Prakriti</i> to 94.3% and 90%, respectively. A discriminant function was created to predict a person with diabetes and without diabetes based on these three contributing factors. The primary contributing biochemical parameters discovered by <i>Prakriti</i> in the current study could be used as a biochemical disease diagnostic for predicting type 2 diabetes susceptibility. |
| first_indexed | 2024-03-09T13:46:44Z |
| format | Article |
| id | doaj.art-f2d45b2663d3400daf07f5dca784af90 |
| institution | Directory Open Access Journal |
| issn | 2079-9721 |
| language | English |
| last_indexed | 2024-03-09T13:46:44Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diseases |
| spelling | doaj.art-f2d45b2663d3400daf07f5dca784af902023-11-30T20:59:36ZengMDPI AGDiseases2079-97212022-03-011011510.3390/diseases10010015Clinical Prediction of Type 2 Diabetes Mellitus (T2DM) via Anthropometric and Biochemical Variations in <i>Prakriti</i>Shriti Singh0Neeraj Kumar Agrawal1Girish Singh2Sangeeta Gehlot3Santosh Kumar Singh4Rajesh Singh5Department of Kriya Sharir, Faculty of Ayurveda, Institute of Medical Sciences, Banaras Hindu University, Varanasi 221005, IndiaDepartment of Endocrinology and Metabolism, Institute of Medical Sciences, Banaras Hindu University, Varanasi 221005, IndiaCentre of Biostatistics, Institute of Medical Sciences, Banaras Hindu University, Varanasi 221005, IndiaDepartment of Kriya Sharir, Faculty of Ayurveda, Institute of Medical Sciences, Banaras Hindu University, Varanasi 221005, IndiaDepartment of Microbiology, Biochemistry, and Immunology, Cancer Health Equity Institute, Morehouse School of Medicine, 720 Westview Drive SW, Atlanta, GA 30310, USADepartment of Microbiology, Biochemistry, and Immunology, Cancer Health Equity Institute, Morehouse School of Medicine, 720 Westview Drive SW, Atlanta, GA 30310, USAType 2 Diabetes Mellitus (T2DM) is a complicated multifactorial illness involving hereditary and external environmental variables. The symptoms typically appear gradually over a number of years without realizing it. This viewpoint is further supported by the Ayurvedic constitution concept (<i>Prakriti</i>). <i>Prakriti</i> explains the biological variability that is observed in different individuals. This study was conducted a retrospective investigation to examine if there was a link between type 2 diabetes and an individual’s constitution based on anthropometric and biochemical characteristics. Physical and mental characteristics and anthropometric and biochemical markers were used to determine reported cases’ prevailing <i>Dosha Prakriti</i> (constitution). Based on biochemical and anthropometric data, significant differences in <i>Prakriti</i> were found between the case (T2DM patients) and control (person without diabetes) groups. The incidence of numerous secondary problems linked with T2DM patients was also evaluated according to their <i>Prakriti</i> types, which revealed a positive relationship. The three primary contributing parameters, such as waist-hip ratio, postprandial blood sugar, and serum creatinine, were correctly classified all person with or without diabetes subjects to 90.6% of the time, whereas the constitution-wise study classified person with diabetes and without diabetes individuals of <i>Pitta</i> and <i>Kapha Prakriti</i> to 94.3% and 90%, respectively. A discriminant function was created to predict a person with diabetes and without diabetes based on these three contributing factors. The primary contributing biochemical parameters discovered by <i>Prakriti</i> in the current study could be used as a biochemical disease diagnostic for predicting type 2 diabetes susceptibility.https://www.mdpi.com/2079-9721/10/1/15<i>Vata</i><i>Pitta</i><i>Kapha</i>biochemical markerT2DManthropometric parameters |
| spellingShingle | Shriti Singh Neeraj Kumar Agrawal Girish Singh Sangeeta Gehlot Santosh Kumar Singh Rajesh Singh Clinical Prediction of Type 2 Diabetes Mellitus (T2DM) via Anthropometric and Biochemical Variations in <i>Prakriti</i> Diseases <i>Vata</i> <i>Pitta</i> <i>Kapha</i> biochemical marker T2DM anthropometric parameters |
| title | Clinical Prediction of Type 2 Diabetes Mellitus (T2DM) via Anthropometric and Biochemical Variations in <i>Prakriti</i> |
| title_full | Clinical Prediction of Type 2 Diabetes Mellitus (T2DM) via Anthropometric and Biochemical Variations in <i>Prakriti</i> |
| title_fullStr | Clinical Prediction of Type 2 Diabetes Mellitus (T2DM) via Anthropometric and Biochemical Variations in <i>Prakriti</i> |
| title_full_unstemmed | Clinical Prediction of Type 2 Diabetes Mellitus (T2DM) via Anthropometric and Biochemical Variations in <i>Prakriti</i> |
| title_short | Clinical Prediction of Type 2 Diabetes Mellitus (T2DM) via Anthropometric and Biochemical Variations in <i>Prakriti</i> |
| title_sort | clinical prediction of type 2 diabetes mellitus t2dm via anthropometric and biochemical variations in i prakriti i |
| topic | <i>Vata</i> <i>Pitta</i> <i>Kapha</i> biochemical marker T2DM anthropometric parameters |
| url | https://www.mdpi.com/2079-9721/10/1/15 |
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