Paolo A Zegarra-Lizana1, Elizabeth J Ramos-Orosco2, Mirella Guarnizo-Poma3, Betzi Pantoja-Torres4, Socorro Paico-Palacios5, Vitalia Del Carmen Ranilla-Seguin6, Herbert Lazaro-Alcantara7, Vicente A Benites-Zapata8. 1. School of Medicine, Universidad Peruana de Ciencias Aplicadas, Lima, Peru; Sociedad Científica de Estudiantes de Medicina de la Universidad Peruana de Ciencias Aplicadas, Universidad Peruana de Ciencias Aplicadas, Lima, Peru. Electronic address: paolo.zegarra2112@gmail.com. 2. School of Medicine, Universidad Peruana de Ciencias Aplicadas, Lima, Peru; Sociedad Científica de Estudiantes de Medicina de la Universidad Peruana de Ciencias Aplicadas, Universidad Peruana de Ciencias Aplicadas, Lima, Peru. Electronic address: elizabeth.ramos.orosco23@gmail.com. 3. Instituto Médico de la Mujer, Instituto Médico Metabólico, Lima, Peru. Electronic address: mguarnizo@imm.com.pe. 4. Instituto Médico de la Mujer, Instituto Médico Metabólico, Lima, Peru. Electronic address: bpantoja@imm.com.pe. 5. Instituto Médico de la Mujer, Instituto Médico Metabólico, Lima, Peru. Electronic address: spaico@imm.com.pe. 6. Instituto Médico de la Mujer, Instituto Médico Metabólico, Lima, Peru. Electronic address: vranilla@imm.com.pe. 7. Instituto Médico de la Mujer, Instituto Médico Metabólico, Lima, Peru. Electronic address: hlazaro@imm.com.pe. 8. School of Medicine, Universidad Peruana de Ciencias Aplicadas, Lima, Peru. Electronic address: vbeniteszapata@gmail.com.
Abstract
AIM: To evaluate the association between elevated body fat percent (BF%) and the prevalence of insulin resistance (IR) in the adult population with body mass index (BMI) in the normal values. METHODS: We carry out an analytical cross-sectional study. The participants attended outpatient from 2012 to 2016 in a private clinic in Lima-Peru between 18 and 60 years with a BMI between 19 and 24.9/Kg/m2. We defined elevated BF% if the values were greater than 25% in men and 30% in women and IR with a cut-off point of HOMA-IR based in the 75th percentile. We performed a generalized linear model from family Poisson (crude and adjusted) with robust standard errors to evaluate the association between BF% and the IR. We reported as association measure the prevalence ratio (PR) with their respective 95% confidence intervals (CI). RESULTS: We included 284 participants, the average age was 33.77 ± 10.86 (SD) years and the percentage of women was 88.1%. The prevalence of elevated BF% was 71.13% and the prevalence of IR was 25%. We found an association between the elevated BF% and IR, PR = 3.17; 95% CI: 1.46-6.91. CONCLUSIONS: Body fat percentage seems to be a good indicator of IR in patients with normal BMI and without endocrine comorbidities. Longitudinal prospective studies are recommended to corroborate our findings.
AIM: To evaluate the association between elevated body fat percent (BF%) and the prevalence of insulin resistance (IR) in the adult population with body mass index (BMI) in the normal values. METHODS: We carry out an analytical cross-sectional study. The participants attended outpatient from 2012 to 2016 in a private clinic in Lima-Peru between 18 and 60 years with a BMI between 19 and 24.9/Kg/m2. We defined elevated BF% if the values were greater than 25% in men and 30% in women and IR with a cut-off point of HOMA-IR based in the 75th percentile. We performed a generalized linear model from family Poisson (crude and adjusted) with robust standard errors to evaluate the association between BF% and the IR. We reported as association measure the prevalence ratio (PR) with their respective 95% confidence intervals (CI). RESULTS: We included 284 participants, the average age was 33.77 ± 10.86 (SD) years and the percentage of women was 88.1%. The prevalence of elevated BF% was 71.13% and the prevalence of IR was 25%. We found an association between the elevated BF% and IR, PR = 3.17; 95% CI: 1.46-6.91. CONCLUSIONS: Body fat percentage seems to be a good indicator of IR in patients with normal BMI and without endocrine comorbidities. Longitudinal prospective studies are recommended to corroborate our findings.
Authors: Anna Huta-Osiecka; Krystian Wochna; Rafał Stemplewski; Katarzyna Marciniak; Tomasz Podgórski; Zbigniew Kasprzak; Piotr Leszczyński; Alicja Nowak Journal: PeerJ Date: 2022-06-30 Impact factor: 3.061