Relación de los índices de adiposidad visceral (VAI) y disfuncional (DAI) con parámetros de obesidad(Pag.-e 101965)

  1. M.T. Vicente-Herrero 1
  2. M. Egea Sancho 2
  3. M.V. Ramírez Íñiguez de la Torre 3
  4. Á.A. López González 4
  1. 1 Instituto Universitario de Ciencias de la Salud-IUNICS, Illes Balears, España
  2. 2 Servei de Salut Manacor, Illes Balears, España
  3. 3 SPP Grupo Correos-SEPI-Albacete y Cuenca, Albacete, España
  4. 4 Servei de Salut Palma de Mallorca. Escuela Universitaria ADEMA, Illes Balears, España
Show affiliations +
Journal:
Semergen: revista española de medicina de familia

ISSN: 1138-3593

Year of publication: 2023

Issue: 6

Pages: 2-2

Type: Article

DOI: 10.1016/J.SEMERG.2023.101965 DIALNET GOOGLE SCHOLAR

More publications in: Semergen: revista española de medicina de familia

Abstract

Introduction Obesity is a global pandemic with a growing impact on morbidity and mortality. We assessed the associative strength of the Visceral Adiposity Index (VAI) and Dysfunctional Adiposity Index (DAI) in obesity and associated risk using different methods. Material and methods Cross-sectional study in 418 343 workers from different autonomous communities in Spain, estimating prevalence of obesity with: waist circumference, waist/height index, BMI, CUN-BAE, ECORE-BF, RFM, PALAFOLLS, IMG, METS-VF calculated according to their specific formulas. Descriptive analysis of categorical variables and associative strength of VAI and DAI for obesity was performed with ROC curves considering high risk when the AUC value.0.8 and moderate with AUC.0.7 and.0.8. SPSS 27.0 was used, considering statistical significance p.0.05. Results The prevalence of obesity varied according to the method used, being high with Palafolls (72.92% in women and 86.98% in men) and low with METS-VF (1.31% in women and 8.54% in men). The mean values of VAI and DAI are always higher in men. The AUC of the ROC curve for VAI was high with METS-VF: in women 0.836 (95%CI 0.829-0.843), in men 0.848 (95%CI 0.845-0.850) and with waist circumference in men: 0.819 (95%CI 0.816-0.822). DAI was high for METS-FV in women: 0.809 (95%CI 0.801-0.817). Conclusions The prevalence of obesity and related risk differs according to the assessment method used. VAI shows high strength of association with obesity and fat mass for METS-VF in both sexes and with waist circumference in men; DAI for METS-VF in women.

Bibliographic References

  • L.M. Jaacks, S. Vandevijvere, A. Pan, C.J. McGowan, C. Wallace, F. Imamura, et al. The obesity transition: stages of the global epidemic Lancet Diabetes Endocrinol., 7 (2019), pp. 231-240 View PDFView articleView in ScopusGoogle Scholar
  • G.A. Bray, W.E. Heisel, A. Afshin, M.D. Jensen, W.H. Dietz, M. Long, et al. The Science of Obesity Management: An Endocrine Society Scientific Statement Endocr Rev., 39 (2018), pp. 79-132 View article CrossRefView in ScopusGoogle Scholar
  • Y. Wu, H. Li, X. Tao, Y. Fan, Q. Gao, J. Yang Optimised anthropometric indices as predictive screening tools for metabolic syndrome in adults: a cross-sectional study BMJ Open., 11 (2021), p. e043952 View article CrossRefView in ScopusGoogle Scholar
  • H. Pouragha, M. Amiri, M. Saraei, G. Pouryaghoub, R. Mehrdad Body impedance analyzer and anthropometric indicators; predictors of metabolic syndrome J Diabetes Metab Disord., 20 (2021), pp. 1169-1178 View PDF This article is free to access. CrossRefView in ScopusGoogle Scholar
  • S.B. Heymsfield, M. Heo, A. Pietrobelli Are adult body circumferences associated with height? Relevance to normative ranges and circumferential indexes Am J Clin Nutr., 93 (2011), pp. 302-307 View PDFView articleCrossRefView in ScopusGoogle Scholar
  • J. Gómez-Ambrosi, C. Silva, V. Catalán, A. Rodríguez, J.C. Galofré, J. Escalada, et al. Clinical usefulness of a new equation for estimating body fat Diabetes Care., 35 (2012), pp. 383-388, 10.2337/dc11-1334 View PDF This article is free to access. View in ScopusGoogle Scholar
  • R. Molina-Luque, M. Romero-Saldaña, C. Álvarez-Fernández, M. Bennasar-Veny, Á. Álvarez-López, G. Molina-Recio Equation Cordoba: A Simplified Method for Estimation of Body Fat (ECORE-BF) Int J Environ Res Public Health., 16 (2019), p. 4529 View article CrossRefView in ScopusGoogle Scholar
  • O.O. Woolcott, R.N. Bergman Relative fat mass (RFM) as a new estimator of whole-body fat percentage single bond A cross-sectional study in American adult individuals Sci Rep., 8 (2018), p. 10980 View PDF This article is free to access. View in ScopusGoogle Scholar
  • P. Deurenberg, J.A. Weststrate, J.C. Seidell Body mass index as a measure of body fatness: age- and sex-specific prediction formulas Br J Nutr., 65 (1991), pp. 105-114 View in ScopusGoogle Scholar
  • O.Y. Bello-Chavolla, N.E. Antonio-Villa, A. Vargas-Vázquez, T.L. Viveros-Ruiz, P. Almeda-Valdés, D. Gómez-Velasco, et al. Metabolic Score for Visceral Fat (METS-VF), a novel estimator of intra-abdominal fat content and cardio-metabolic health Clin Nutr., 39 (2020), pp. 1613-1621 View PDFView articleView in ScopusGoogle Scholar
  • E. Mill-Ferreyra, V. Cameno-Carrillo, H. Saúl-Gordo, M.C. Camí-Lavado Estimación del porcentaje de grasa corporal en función del índice de masa corporal y perímetro abdominal: fórmula Palafolls [Estimation of the percentage of body fat based on the body mass index and the abdominal circumference: Palafolls Formula] Semergen., 45 (2019), pp. 101-108 View PDFView articleView in ScopusGoogle Scholar
  • F. Yao, Y. Bo, L. Zhao, Y. Li, L. Ju, H. Fang, et al. Prevalence and Influencing Factors of Metabolic Syndrome among Adults in China from 2015 to 2017 Nutrients., 13 (2021), p. 4475, 10.3390/nu13124475 View article View in ScopusGoogle Scholar
  • Y. Lu, S. Liu, Y. Qiao, G. Li, Y. Wu, C. Ke, et al. Waist-to-height ratio, waist circumference, body mass index, waist divided by height0.5 and the risk of cardiometabolic multimorbidity: A national longitudinal cohort study Nutr Metab Cardiovasc Dis., 31 (2021), pp. 2644-2651, 10.1016/j.numecd.2021.05.026 View PDFView articleView in ScopusGoogle Scholar
  • F.D. Martínez-Sánchez, A. Diaz-Jarquin, V.P. Vargas-Abonce, J.L. Torres-Cuevas, A.P. Guerrero-Castillo, D. Medina-Julio, et al. Comparison of adiposity indices and their association with insulin resistance and β-cell dysfunction in primary prevention for diabetes in Mexican population Diab Epidemiol Manag., 8 (2022), p. 10091 Google Scholar
  • M.C. Amato, C. Giordano Visceral adiposity index: an indicator of adipose tissue dysfunction Int J Endocrinol., 2014 (2014), p. 730827, 10.1155/2014/730827 View article View in ScopusGoogle Scholar
  • J. Aranceta-Bartrina, C. Pérez-Rodrigo, G. Alberdi-Aresti, N. Ramos-Carrera, S. Lázaro-Masedo Prevalence of General Obesity and Abdominal Obesity in the Spanish Adult Population (Aged 25-64 Years) 2014-2015: The ENPE Study Rev Esp Cardiol (Engl Ed)., 69 (2016), pp. 579-587 View PDFView articleView in ScopusGoogle Scholar
  • A.M. López-Sobaler, A. Aparicio, J. Aranceta-Bartrina, Á. Gil, M. González-Gross, L. Serra-Majem, et al. Overweight and General and Abdominal Obesity in a Representative Sample of Spanish Adults: Findings from the ANIBES Study Biomed Res Int., 2016 (2016), p. 8341487 View in ScopusGoogle Scholar
  • R. Molina-Luque, M. Romero-Saldaña, C. Álvarez-Fernández, M. Bennasar-Veny, A. Álvarez-López, G. Molina-Recio Equation Córdoba: A simplified method for estimation of body fat (ECORE-BF) Int J Environ Res Public Health., 16 (2019), p. 4529 View article CrossRefView in ScopusGoogle Scholar
  • R. Molina-Luque, A.M. Yañez, M. Bennasar-Veny, M. Romero-Saldaña, G. Molina-Recio, Á.A. López-González A Comparison of Equation Córdoba for Estimation of Body Fat (ECORE-BF) with Other Prediction Equations Int J Environ Res Public Health., 17 (2020), p. 7940 View article CrossRefGoogle Scholar
  • L. Feng, T. Chen, X. Wang, C. Xiong, J. Chen, S. Wu, et al. Metabolism Score for Visceral Fat (METS-VF): A New Predictive Surrogate for CKD Risk Diabetes Metab Syndr Obes., 15 (2022), pp. 2249-2258 View PDF This article is free to access. CrossRefView in ScopusGoogle Scholar
  • N. Kapoor, S.A. Jiwanmall, M.B. Nandyal, D. Kattula, S. Paravathareddy, T.V. Paul, et al. Metabolic Score for Visceral Fat (METS-VF) Estimation - A Novel Cost-Effective Obesity Indicator for Visceral Adipose Tissue Estimation Diabetes Metab Syndr Obes., 13 (2020), pp. 3261-3267 View PDF This article is free to access. CrossRefView in ScopusGoogle Scholar
  • Y. Feng, X. Yang, Y. Li, Y. Wu, M. Han, R. Qie, et al. Metabolic Score for Visceral Fat: A reliable indicator of visceral obesity for predicting risk for hypertension Nutrition., 93 (2022), p. 111443 View PDFView articleView in ScopusGoogle Scholar
  • R. Ross, I.J. Neeland, S. Yamashita, I. Shai, J. Seidell, P. Magni, et al. Waist circumference as a vital sign in clinical practice: a Consensus Statement from the IAS and ICCR Working Group on Visceral Obesity Nat Rev Endocrinol., 16 (2020), pp. 177-189 View PDF This article is free to access. CrossRefView in ScopusGoogle Scholar
  • J. Wei, X. Liu, H. Xue, Y. Wang, Z. Shi Comparisons of Visceral Adiposity Index, Body Shape Index, Body Mass Index and Waist Circumference and Their Associations with Diabetes Mellitus in Adults Nutrients., 11 (2019), p. 1580 View article CrossRefView in ScopusGoogle Scholar
Data source: Dialnet