PMID- 35323182
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220329
IS  - 2079-9721 (Print)
IS  - 2079-9721 (Electronic)
IS  - 2079-9721 (Linking)
VI  - 10
IP  - 1
DP  - 2022 Mar 3
TI  - Clinical Prediction of Type 2 Diabetes Mellitus (T2DM) via Anthropometric and 
      Biochemical Variations in Prakriti.
LID - 10.3390/diseases10010015 [doi]
LID - 15
AB  - 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 (Prakriti). Prakriti 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 Dosha Prakriti (constitution). Based on biochemical and anthropometric 
      data, significant differences in Prakriti 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 Prakriti 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 Pitta and Kapha Prakriti 
      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 Prakriti 
      in the current study could be used as a biochemical disease diagnostic for 
      predicting type 2 diabetes susceptibility.
FAU - Singh, Shriti
AU  - Singh S
AD  - Department of Kriya Sharir, Faculty of Ayurveda, Institute of Medical Sciences, 
      Banaras Hindu University, Varanasi 221005, India.
FAU - Agrawal, Neeraj Kumar
AU  - Agrawal NK
AUID- ORCID: 0000-0001-7322-4134
AD  - Department of Endocrinology and Metabolism, Institute of Medical Sciences, 
      Banaras Hindu University, Varanasi 221005, India.
FAU - Singh, Girish
AU  - Singh G
AD  - Centre of Biostatistics, Institute of Medical Sciences, Banaras Hindu University, 
      Varanasi 221005, India.
FAU - Gehlot, Sangeeta
AU  - Gehlot S
AD  - Department of Kriya Sharir, Faculty of Ayurveda, Institute of Medical Sciences, 
      Banaras Hindu University, Varanasi 221005, India.
FAU - Singh, Santosh Kumar
AU  - Singh SK
AUID- ORCID: 0000-0003-0358-0138
AD  - Department of Microbiology, Biochemistry, and Immunology, Cancer Health Equity 
      Institute, Morehouse School of Medicine, 720 Westview Drive SW, Atlanta, GA 
      30310, USA.
FAU - Singh, Rajesh
AU  - Singh R
AUID- ORCID: 0000-0002-0397-3794
AD  - Department of Microbiology, Biochemistry, and Immunology, Cancer Health Equity 
      Institute, Morehouse School of Medicine, 720 Westview Drive SW, Atlanta, GA 
      30310, USA.
LA  - eng
PT  - Journal Article
DEP - 20220303
PL  - Switzerland
TA  - Diseases
JT  - Diseases (Basel, Switzerland)
JID - 101636232
PMC - PMC8947277
OTO - NOTNLM
OT  - Kapha
OT  - Pitta
OT  - T2DM
OT  - Vata
OT  - anthropometric parameters
OT  - biochemical marker
COIS- The authors declare no conflict of interest.
EDAT- 2022/03/25 06:00
MHDA- 2022/03/25 06:01
PMCR- 2022/03/03
CRDT- 2022/03/24 12:13
PHST- 2022/01/25 00:00 [received]
PHST- 2022/02/27 00:00 [revised]
PHST- 2022/03/01 00:00 [accepted]
PHST- 2022/03/24 12:13 [entrez]
PHST- 2022/03/25 06:00 [pubmed]
PHST- 2022/03/25 06:01 [medline]
PHST- 2022/03/03 00:00 [pmc-release]
AID - diseases10010015 [pii]
AID - diseases-10-00015 [pii]
AID - 10.3390/diseases10010015 [doi]
PST - epublish
SO  - Diseases. 2022 Mar 3;10(1):15. doi: 10.3390/diseases10010015.