Abdominal obesity and reduction of glomerular filtration

Abstract

The objective was to evaluate the association between nutritional status and the glomerular filtration rate (GFR) in remaining quilombolas. Cross-sectional study carried out on 32 remaining quilombola communities in the municipality of Alcântara-MA. The nutritional indicators (IN) used were: body mass index (BMI); Waist circumference (WC); Waist-to-hip ratio (WHR); Waist-to-height ratio (WHtR); conicity index (CI) and estimated visceral adipose tissue (VAT). GFR was estimated from the CKD-EPI creatinine-cystatin C formula. The Shapiro Wilk test was used to evaluate the normality of the quantitative variables. In order to compare the second IN sex, the chi-square test was applied. The Anova or Kruskal-Wallis tests were used to verify the association between IN and GFR. Of the 1,526 remaining quilombolas studied, 89.5% were black or brown, 51.2% were women, 88.6% belonged to economic classes D and E and 61.2% were farmers or fishermen. Clinical investigation revealed 29.2% of hypertensive patients, 8.5% of diabetics and 3.1% with reduced GFR. The BMI revealed 45.6% of the remaining quilombolas with excess weight. When compared to men, women presented a higher prevalence of overweight by BMI (56.6% vs 33.8%, p <0.001) and abdominal obesity CC (52.3% vs 4.3%), WHR (76,5% vs 5.8%), WHtR (82.3% vs 48.9%) and VAT (27.1% vs 14.5%) (p <0.001). Comparing the means of IN according to the GFR, it was observed that the higher the mean value of the IN lower the GFR (p <0.05). The GFR reduced with increasing mean values of nutritional indicators of abdominal obesity, regardless of sex.

The fat mass, estimated glomerular filtration rate, and chronic inflammation in type 2 diabetic patients

“…Dias et al reported that the GFR was decreasing with increasing mean values of nutritional indicators of abdominal obesity regardless of sex. 29 Our study found inverse trends in association between RFM and eGFRcys in females (r s = −.193, P < .0001) and in males (r s = −.114, P = .01).…”

“…The median, interquartile range (IQR) of RFM in females was higher than that in males (44.8 (42.3-47.2) % vs 31.3 (28.8-34.1) %, respectively; P < .0001). The median (IQR) of BMI in females was no higher than that in males (30 (27-34) kg/m 2 vs 30 (27)(28)(29)(30)(31)(32)(33)(34), respectively; P = .5152). The obesity prevalence was 99% in males and 98% in females according to RFM.…”

Prevalence of diseases and pathological conditions in young people under 45 years of age with abdominal obesity in Siberia

“…Так, в нескольких исследованиях продемонстрирована прямая связь АО со сниженной СКФ и патологией Бюллетень сибирской медицины. 2021; 20 (4): 39-48 почек [23][24][25]. Однако А. Shahali и соавт.…”

Effectiveness of a dietary re-education and physical activity program on obesity

“…The pattern of body fat distribution is a more significant risk factor in morbid processes than overall obesity, which is characterized by body fat accumulation in the central and peripheral areas of the body. Within this perspective, the accumulation of adipose tissue in the abdominal region, where fat deposits are concentrated in this area, is associated with an exponential increase in morbidity and mortality (16) . The present study identified a reduction in the Hip Circumference (HC)variable (from 112.26 to 101.13 -p = 0.005), but this reduction did not show to be as significant as that observed in the Waist Circumference (WC) variable (from 99.21 to 84.9).…”