Estimación predictiva en población laboral del Índice de adiposidad visceral (VAI) y adiposidad disfuncional (DAI) en síndrome metabólico

  1. Vicente Herrero, María Teófila 1
  2. Egea Sancho, Mónica 2
  3. Ramírez Iñiguez de la Torre, Maria Victoria 3
  4. López González, Ángel Arturo 4
  1. 1 Instituto Universitario de Ciencias de la Salud-IUNICS. Illes Balears
  2. 2 Servei de Salut Manacor. Illes Balears
  3. 3 SPP Grupo Correos-SEPI-Albacete y Cuenca
  4. 4 Servei de Salut Palma de Mallorca. Illes Balears
Journal:
Archivos de prevención de riesgos laborales

ISSN: 1138-9672 1578-2549

Year of publication: 2023

Volume: 26

Issue: 3

Pages: 187-200

Type: Article

DOI: 10.12961/APRL.2023.26.03.02 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Archivos de prevención de riesgos laborales

Abstract

Objective: To evaluate metabolic syndrome using three methods proposed by  recognizedinternational institutions, and the visceral adiposity (VAI) and dysfunctional adiposity (DAI) indices for prediction and prevalence estimation in working populations. Methods: Cross-sectional study in workers from different Spanish autonomous communities who underwent a health examination between January 2019 and September 2021 at four occupational risk prevention services. Metabolic syndrome was evaluated according to criteria from the National Cholesterol Education Program Adult Treatment Panel III (NCEP/ATP-III), the International Diabetes Federation (IDF) and  the Joint Interim Statement (JIS). VAI and DAI values were calculated using their specific formulas and their predictive capacity was measured using ROC curves. The SPSS 27.0 program was used, with statistical significance level set at p< 0.05. Results: 418 343 workers were included, mostly men (58.8%), average age between 30 and 49 years (58.0%), social class III, mostly manual workers (75.9%) and nonsmokers (66.9%). The prevalence of metabolic syndrome differed  depending on the criteria used, being higher in men with IDF and JIS, and in women with ATPIII. For the three definitions of metabolic syndrome, the values of the area under the curve were > 0.8 (>80%). The highest VAI was obtained with the JIS, and the highest DAI with the ATPIII. The highest confidence index was for ATPIII and JIS. Conclusions: The VAI and ICD adiposity indices show high predictive capacity in metabolic syndrome with all three criteria used and can be useful for prevention activities in occupational health.

Bibliographic References

  • Huang PL. A comprehensive definition for metabolic syndrome. Dis Model Mech. 2009;2(5-6):231-7.
  • Wang HH, Lee DK, Liu M, Portincasa P, Wang DQ. Novel Insights into the Pathogenesis and Management of the Metabolic Syndrome. Pediatr Gastroenterol Hepatol Nutr. 2020;23(3):189-230.
  • Guembe MJ, Fernandez Lazaro CI, Sayon Orea C, Toledo E, Moreno Iribas C; RIVANA Study Investigators. Risk for cardiovascular disease associated with metabolic syndrome and its components: a 13-year prospective study in the RIVANA cohort. Cardiovasc Diabetol. 2020;19(1):195.
  • van Zon SKR, Amick Iii BC, de Jong T, Brouwer S, Bültmann U. Occupational distribution of metabolic syndrome prevalence and incidence differs by sex and is not explained by age and health behavior: results from 75 000 Dutch workers from 40 occupational groups. BMJ Open Diabetes Res Care. 2020;8(1):e001436.
  • Pouragha H, Amiri M, Saraei M, Pouryaghoub G, Mehrdad R. Body impedance analyzer and anthropometric indicators; predictors of metabolic syndrome. J Diabetes Metab Disord. 2021;20(2):1169-78.
  • Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults. Executive Summary of The Third Report of The National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, And Treatment of High Blood Cholesterol In Adults (Adult Treatment Panel III). JAMA. 2001;285(19):2486-97.
  • Zimmet P, Magliano D, Matsuzawa Y, Alberti G, Shaw J. The metabolic syndrome: a global public health problem and a new definition. J Atheroscler Thromb. 2005;12(6):295-300. doi: 10.5551/jat.12.295. PMID: 16394610.
  • Alberti KG, Zimmet P, Shaw J; IDF Epidemiology Task Force Consensus Group. The metabolic syndrome--a new worldwide definition. Lancet. 2005;366(9491):1059-62.
  • Alberti KG, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, et al. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation. 2009 ;120(16):1640-5.
  • Siquier Homar P. Estilos de vida y riesgo cardiovascular en una población activa. Tesis doctoral. Palma de Mallorca. Universidad de las Islas Baleares; 2022. Disponible en: http://hdl.handle.net/11201/159834
  • Busquets Cortés C, López C, Paublini H, Arroyo Bote S, López González ÁA, Ramírez Manent JI. Relationship between Atherogenic Dyslipidaemia and Lipid Triad with Different Scales of Overweight and Obesity in 418,343 Spanish Workers. J Nutr Metab. 2022:9946255.
  • Ramírez Manent JI, Martínez Almoyna E, López C, Busquets Cortés C, González San Miguel H, López González ÁA. Relationship between Insulin Resistance Risk Scales and Non-Alcoholic Fatty Liver Disease and Liver Fibrosis Scales in 219,477 Spanish Workers. Metabolites. 2022;12(11):1093.
  • Friedewald WT, Levy RJ, Fredrickson DS. Estimation of the concentration of low-density lipoprotein cholesterol in plasma without use of the preparative ultracentrifuge. Clin Chem. 1972; 18(6):499-502.
  • Martínez Sánchez FD, Diaz Jarquin A, Vargas Abonce VP, Torres Cuevas JL, Guerrero Castillo AP, et al. Comparison of adiposity indices and their association with insulin resistance and ?-cell dysfunction in primary prevention for diabetes in Mexican population. Diabetes Epidemiology & Management 2022;8: 100091.
  • Amato MC, Giordano C. Visceral adiposity index: an indicator of adipose tissue dysfunction. Int J Endocrinol. 2014;730827.
  • Real Decreto 1591/2010, de 26 de noviembre, por el que se aprueba la Clasificación Nacional de Ocupaciones 201. Boletín Oficial de Estado núm. 306, de 17 de diciembre de 2010.
  • Domingo Salvany A, Bacigalupe A, Carrasco JM, Espelt A, Ferrando J, Borrell C; Grupo de Determinantes Sociales de Sociedad Española de Epidemiología. Propuestas de clase social neoweberiana y neomarxista a partir de la Clasificación Nacional de Ocupaciones 2011. Gac Sanit. 2013;27(3):263-72.
  • Matsuzawa Y, Funahashi T, Nakamura T. The concept of metabolic syndrome: contribution of visceral fat accumulation and its molecular mechanism. J Atheroscler Thromb. 2011;18(8):629-39.
  • Tauler P, Bennasar Veny M, Morales Asencio JM, Lopez Gonzalez AA, Vicente Herrero T, De Pedro Gomez J, et al. Prevalence of premorbid metabolic syndrome in Spanish adult workers using IDF and ATPIII diagnostic criteria: relationship with cardiovascular risk factors. PLoS One. 2014;9(2):e89281.
  • Nagahama S, Kurotani K, Pham NM, Nanri A, Kuwahara K, Dan M, et al. Self-reported eating rate and metabolic syndrome in Japanese people: cross-sectional study. BMJ Open. 2014;4(9):e005241.
  • Esmailzadehha N, Ziaee A, Kazemifar AM, Ghorbani A, Oveisi S. Prevalence of metabolic syndrome in Qazvin Metabolic Diseases Study (QMDS), Iran: a comparative analysis of six definitions. Endocr Regul. 2013;47(3):111-20.
  • Hadaegh F, Zabetian A, Khalili D, Safarkhani M, Philip T James W, et al. A new approach to compare the predictive power of metabolic syndrome defined by a joint interim statement versus its components for incident cardiovascular disease in Middle East Caucasian residents in Tehran. J Epidemiol Community Health. 2012;66(5):427-32.
  • Karatas S, Beysel S. Visceral Adiposity Index, Triglyceride/High-Density Lipoprotein Ratio, and Lipid Accumulation Product Index to Discriminate Metabolic Syndrome Among Adult Type 1 Diabetes Patients. Metab Syndr Relat Disord. 2021;19(9):507-12.
  • Bilgin Göçer D, Ba? M, Çak?r Biçer N, Hajhamidiasl L. Predicting metabolic syndrome by visceral adiposity index, body roundness index, dysfunctional adiposity index, lipid accumulation product index, and body shape index in adults. Nutr Hosp. 2022;39(4):794-802.
  • Gómez Sánchez L, Gómez Sánchez M, Montero Sánchez C, Pérez Fernández C, García Ortiz L, Gómez Marcos M. Relación entre la rigidez arterial con el índice de forma corporal e índice de redondez corporal de acuerdo al estatus de obesidad en caucasianos adultos. Estudio MARK. Semergen. 2017;43(Espec Congr 4):18.
  • Bijari M, Jangjoo S, Emami N, Raji S, Mottaghi M, Moallem R, et al. The Accuracy of Visceral Adiposity Index for the Screening of Metabolic Syndrome: A Systematic Review and Meta-Analysis. Int J Endocrinol. 2021;2021:6684627.
  • Chiu TH, Huang YC, Chiu H, Wu PY, Chiou HC, Huang JC, et al. Comparison of Various Obesity-Related Indices for Identification of Metabolic Syndrome: A Population-Based Study from Taiwan Biobank. Diagnostics (Basel). 2020;10(12):1081.
  • Qin Z, Jiang L, Sun J, Geng J, Chen S, Yang Q, et al. Higher visceral adiposity index is associated with increased likelihood of abdominal aortic calcification. Clinics (Sao Paulo). 2022;77:100114.
  • Reyes Barrera J, Sainz Escárrega VH, Medina Urritia AX, Jorge Galarza E, Osorio Alonso H, Torres Tamayo M, et al. Dysfunctional adiposity index as a marker of adipose tissue morpho-functional abnormalities and metabolic disorders in apparently healthy subjects. Adipocyte. 2021;10(1):142-52.