Nutritional status, insulin resistance and cytokine biomarkers: principal component analysis approach
International Journal of Development Research
Nutritional status, insulin resistance and cytokine biomarkers: principal component analysis approach
Received 08th July, 2019; Received in revised form 21st August, 2019; Accepted 29th September, 2019; Published online 23rd October, 2019
Copyright © 2019, Analie Nunes Couto et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The study explored the clustering of risk factors and associations between nutritional status, biochemical parameters, insulin resistance, and cytokine biomarkers in rural and industrial workers. A cross-sectional study with 71 individuals, 41 women and 30 men. The following variables were used: gender, age, body mass index, waist circumference, total cholesterol, HDL-c, LDL-c, triglycerides, fasting glycemia, visceral fat area, fat percentage, TyG, Visceral Adiposity Index (VAI), Lipid Accumulation Product (LAP), cytokines (IL-6, IL-1β, IL-8, TNF-α, and IL-10). An exploratory factorial analysis and ANOVA were performed. Five factors explained the variation of the data. Factor 1 was related to overweight, obesity and visceral fat; factor 2 with insulin resistance, factor 3 with cytokines and fasting glycemia, factor 4 with lipid profile and factor 5 with TNF-α and IL-10. Differences were found in gender (p = 0.023), BMI (p <0.001) and work sector (p = 0.038). The study identified risk factors for cardiovascular and metabolic diseases in the factors, with differences in sex, BMI and the work sector.
