Insulin resistance and cardiometabolic indexes: comparison of concordance in working-age subjects with overweight and obesity.

Autor: Vigna L; Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico. Occupational Health Unit, Obesity and Work Center, EASO Collaborating Center for Obesity Management, Milan, Italy., Tirelli AS; Fondazione IRCCS Cà Grande Ospedale Maggiore Policlinico. Clinical Chemistry and Microbiology Bacteriology and Virology Units, Milan, Italy., Gaggini M; Cardiometabolic Risk Unit, Institute of Clinical Physiology, CNR, Pisa, Italy., Di Piazza S; Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico. Occupational Health Unit, Obesity and Work Center, EASO Collaborating Center for Obesity Management, Milan, Italy., Tomaino L; Emergency Medicine Residency Program, Marche Polytechnic University, Ancona, Italy., Turolo S; Fondazione IRCCS Cà Grande Ospedale Maggiore Policlinico. UOC Pediatric Nephrology, Dialysis and Transplantation, Milan, Italy., Moroncini G; Clinica Medica, Azienda Ospedali Riuniti, Department of Internal Medicine, Azienda ospedaliera Universitaria Ospedali Riuniti, Ancona, Italy., Chatzianagnostou K; Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy., Bamonti F; Former Associate Professor of Clinical Biochemistry, Board Certify in Clinical Chemistry and Biochemistry, Università degli Studi di Milano, Milan, Italy., Vassalle C; Fondazione G. Monasterio CNR-Regione Toscana, Pisa, Italy. cristina.vassalle@ftgm.it.
Jazyk: angličtina
Zdroj: Endocrine [Endocrine] 2022 Aug; Vol. 77 (2), pp. 231-241. Date of Electronic Publication: 2022 Jun 03.
DOI: 10.1007/s12020-022-03087-8
Abstrakt: Purpose: The aim of the study was to evaluate indexes of insulin resistance and cardiometabolic risk in a large population of workers with overweight or obesity, in order to identify a possible efficient, cheap and simple strategy to apply in workers' health surveillance.
Methods: The evaluation of IR and cardiometabolic risk indexes (HOMA, QUICKI, Ty/HDLC, TyG, insuTAG, Castelli risk indexes 1 and 2, non-HDLC, TRL-C, AIP, and VAI) was performed in a population of 1195 working-age subjects with overweight or obesity (322 males, mean age 49 ± 11 years).
Results: The prevalence of IR and cardiometabolic risk was higher among males for all indexes. Aging, waist circumference, BMI, blood pressure, glucose, CRP, fibrinogen and uric acid were correlated more frequently with IR/cardiometabolic indexes in women, homocysteine in men. The percentage of the workers identified as insulin resistant (IR+) or at higher cardiometabolic risk greatly vary according to the different index used.
Conclusion: With a small group of biomarkers and anthropometric measures (fasting glucose and insulin, lipid profile, BMI and waist circumference) is possible to calculate a number of IR/cardiometabolic indexes, which, likely reflecting different pathophysiological aspects also related to gender, might help in a personalized evaluation of IR and cardiometabolic risk. Graphical abstract.
(© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
Databáze: MEDLINE
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