2025, Number 06
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Med Int Mex 2025; 41 (06)
Concordance between body mass index and relative fat mass index
Leyva RR
Language: Spanish
References: 15
Page: 305-310
PDF size: 336.54 Kb.
ABSTRACT
Objective: To assess the concordance between body mass index and relative fat mass
index (RFM) and their correlation with fasting glucose levels and insulin resistance
compared to the triglyceride-glucose index in healthcare workers.
Materials and Methods: An observational, cross-sectional, and retrospective study
was conducted in healthcare workers. body mass index, relative fat mass index, and
triglycerides-glucose index were calculated. Insulin resistance was determined using
specific cut-off points. Pearson and Spearman correlation analyses were performed,
along with ROC curves to establish relative fat mass index cut-off points.
Resultados: There were included 297 subjects. The area under the curve for relative
fat mass index was 0.62 in men and 0.73 in women. Cut-off points were 26 for men
(sensitivity: 88%, specificity: 46%) and 39 for women (sensitivity: 78%, specificity:
65%). A significant correlation (p ‹ 0.01) was found between body mass index,
relative fat mass index, and triglycerides-glucose index, with an OR of 4.39 (95%
CI: 2.34-8.22).
Conclusions: Relative fat mass index showed moderate concordance with body
mass index and a significant association with insulin resistance measured by triglycerides-
glucose index, highlighting its usefulness as a complementary diagnostic tool.
REFERENCES
Chaquila Cubillas W, Díaz Velásquez C, Loaiza Aramburú J,Yabar Landa Á, et al. Relación entre resistencia a la insulina ycomposición corporal mediante índices antropométricos enadultos. Rev Peru Med Exp Salud Publica 2022; 39 (3): 479-87.
Chooi YC, Ding C, Magkos F. The epidemiology of obesity.Metabolism 2019; 92: 6-10. https://doi.org.10.1016/j.metabol.2018.09.005
Boutari C, Mantzoros CS. A 2022 update on the epidemiologyof obesity and a call to action: as its twinCOVID-19 pandemic appears to be receding, the obesityand dysmetabolism pandemic continues to rage on. Metabolism2022; 133: 155217. https://doi.org.10.1016/j.metabol.2022.155217
Ahmed B, Sultana R, Greene MW. Adipose tissue and insulinresistance in obese. Biomed Pharmacother 2021; 137:111315. https://doi.org.10.1016/j.biopha.2021.111315
Berrigan D, Troiano RP, Graubard BI. BMI and mortality:the limits of epidemiological evidence. Lancet 2016;388 (10046): 734-6. https://doi.org.10.1016/S0140-
6736(16)30949-76. Blüher M. Metabolically Healthy Obesity. Endocr Rev 2020;41 (3): bnaa004. https://doi.org.10.1210/endrev/bnaa004
Buss J. Limitations of body mass index to assess bodyfat. Workplace Health Saf 2014; 62 (6): 264. https://doi.org.10.1177/216507991406200608
Correa CR, Formolo NPS, Dezanetti T, Speretta GFF, NunesEA. Relative fat mass is a better tool to diagnose highadiposity when compared to body mass index in youngmale adults: A cross-section study. Clin Nutr ESPEN 2021;41: 225-33. https://doi.org.10.1016/j.clnesp.2020.12.009
Organización Mundial de la Salud. Sobrepeso y Obesidad;2021. https://www.who.int/es/news-room/fact-sheets/detail/obesity-and-overweight#:~:text=En%20el%20caso%20de%20los,igual%20o%20superior%20a%2030
Guzmán-León AE, Velarde AG, Vidal-Salas M, Urquijo-RuizLG, et al. External validation of the relative fat mass (RFM)index in adults from north-west Mexico using differentreference methods. Plos One 2019; 14 (12): e0226767.https://doi.org.10.1371/journal.pone.0226767
Woolcott OO, Bergman RN. Relative fat mass as an estimatorof whole-body fat percentage among children andadolescents: A cross-sectional study using NHANES. SciRep 2019; 9 (1): 15279. https://doi.org.10.1038/s41598-019-51701-z
Woolcott OO, Bergman RN. Relative fat mass (RFM) as anew estimator of whole-body fat percentage ─ A crosssectionalstudy in American adult individuals. Sci Rep 2018;8 (1): 10980. https://doi.org.10.1038/s41598-018-29362-1
Woolcott OO, Bergman RN. Defining cutoffs to diagnoseobesity using the relative fat mass (RFM): Association withmortality in NHANES 1999-2014. Int J Obes (Lond) 2020; 44(6): 1301-10. https://doi.org.10.1038/s41366-019-0516-8
Campos-Nonato I, Galván-Valencia O, Hernández-BarreraL, Oviedo-Solís C, Barquera S. Prevalence of obesity andassociated risk factors in Mexican adults: results of theEnsanut 2022. Salud Publica Mex 2023; 65. https://doi.org.10.21149/14809
Meneses-Sierra E, Ochoa-Martínez C, Burciaga-JiménezE, Gómez-Mendoza R, et al. Abordaje multidisciplinariodel sobrepeso y la obesidad en adultos. Med Int Méx2023; 39 (2): 329-66. https://doi.org.10.24245/mim.v39i2.8511