Association between relative fat mass, uric acid, and insulin resistance in children with chronic kidney disease

Karava, Vasiliki; Dotis, John; Kondou, Antonia; Christoforidis, Athanasios; Liakopoulos, Vassilios; Tsioni, Konstantina; Kollios, Konstantinos; Papachristou, Fotiοs; Printza, Nikoleta

doi:10.1007/s00467-020-04716-y

Cited by 13 publications

(16 citation statements)

References 47 publications

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“…Considering the aforementioned situations, this study aimed to validate and develop WG-based equations in young Colombian elite athletes. Although RFM/RFMp has been associated with biochemical-related and cardiometabolic parameters in children with chronic kidney disease [ 51 ] or with overweight/obesity [ 52 ], the findings of our external validation process revealed that neither RFM nor RFMp are recommended for young Colombian athletes given the poor correlation, agreement and concordance with the DXA scans (see Figure 1 ). Similar to our results, recent studies performed in south American population have also concluded that the RFM equation seems not to be valid for estimating %BF in adolescents.…”

Section: Discussionmentioning

confidence: 95%

Development and Validation of a Novel Waist Girth-Based Equation to Estimate Fat Mass in Young Colombian Elite Athletes (F20CA Equation): A STROSA-Based Study

et al. 2022

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The estimation of body fat percentage (%BF) from anthropometry-related data requires population-specific equations to avoid incorrect interpretations in young athletes. Waist girth (WG) has been described as potential predictor of fat mass (FM) in several populations; however, there are no valid WG-based equations to estimate body composition in young Colombian athletes. The aim of this STandardisierte BerichtsROutine für Sekundärdaten Analysen STROSA-based study was twofold: i) to validate the relative fat mass (RFM) and its pediatric version (RFMp) compared to dual-energy x-ray absorptiometry (DXA) and ii) to develop a new equation (F20CA) to estimate the fat mass in Colombian children and adolescent elite athletes. A total of 114 young athletes that belong to the ‘Team Medellín’ program (58F, 56M; 51 children, 63 adolescents; 14.85 [2.38] years; 55.09 [12.16] kg; 162.38 [11.53] cm) participated in this cross-sectional study. The statistical analysis revealed a poor correlation, agreement and concordance of RFMp and RFM estimations with DXA measurements. After model specification using both Ordinary Least Square method and Bayesian analysis, the regression output revealed that sex, body mass-to-waist ratio, and waist-to-stature ratio were the statistically significant predictor variables that account for variability in FM. The new F20CA equation is expressed as FM (kg) = 5.46 ∗ (Sex) + 0.21 ∗ (BM/W [kg/m]) + 81.7 ∗ (W/Stature [cm/cm]) − 41.8 (R2 = 0.683; SEE = 2.468 kg), where sex is 0 for males and 1 for females. A moderate-to-high correlation and agreement of the F20CA was confirmed within the internal validation data set (R2 = 0.689; ICC [95%CI] = 0.805 [0.615, 0.904]; RMSE = 2.613 kg). The Bland–Altman analysis corroborated the high concordance between the reference method (DXA) and the F20CA-estimated FM (bias [95% LoA] = 1.02 [−3.77, 5.81] kg), indicating the two methods could be considered interchangeable. Even though external validation is needed, practitioners are advised to use the F20CA in young Colombian athletes with similar characteristics to those who participated in this study.

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Section: Discussionmentioning

confidence: 95%

Development and Validation of a Novel Waist Girth-Based Equation to Estimate Fat Mass in Young Colombian Elite Athletes (F20CA Equation): A STROSA-Based Study

et al. 2022

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“…For example, Chen et al ( 14 ), Dai et al ( 24 ), and Tanaka et al ( 25 ), all observed the strong positive correlation between BMI and SUA in different groups of individuals. However, the primary concern of the BMI approach was that it could not identify normal weight obesity, which is defined as the combination of high percentage of body fat and normal BMI ( 26 ). Thus, more assessment methods of obesity were developed to explore the relationship between obesity and SUA.…”

Section: Discussionmentioning

confidence: 99%

The Association Between Total Percent Fat and Serum Uric Acid in Adults

et al. 2022

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BackgroundSerum uric acid (SUA) has been proven to be closely associated with metabolic abnormalities, including obesity. This study aimed to investigate the detailed relationship between total percent fat (TPF) and SUA among adults.MethodsBriefly, 23,715 adults aged 18–59 years in the National Health and Nutrition Examination Survey (NHANES) 1999–2018 were included in this study. Multivariable linear regression models were used to examine the association between TPF and SUA. Subgroup analyses stratified by sex and obesity status were also performed by multivariable linear regression. Then, fitted smoothing curves and generalized additive models were also applied to address the non-linear relationship between TPF and SUA. Finally, a recursive algorithm was used to calculate the inflection point in the non-linear relationship and a two-segment piecewise linear regression model was used to analyze the relationship between TPF and SUA on both sides of the inflection point.ResultsThere were 15,808 (66.7%) obese individuals in all 23,715 participants. In the fully adjusted model, there was a positive association between TPF and SUA (β = 0.99, 95% CI: 0.73–1.26). Besides, this positive association remained statistically significant in subgroup analyses stratified by sex and obesity status. Interestingly, in males, the association of TPF and SUA was an inverted U-shaped curve (inflection point: 34.3%).ConclusionOur study revealed a significant positive relationship between TPF and SUA among adults and this association remained statistically significant when stratified by sex and obesity status, but the shape of the smoothing curve in males differed from that in females.

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“…Uznano, że może on poprawić dokładność oceny stanu poziomu tkanki tłuszczowej u dzieci dostarczając cennych informacji umożliwiających nadzór i skuteczną walkę z otyłością [50]. W badaniu dzieci z przewlekłą chorobą nerek, po przebadaniu 41 pacjentów stwierdzono, że wysokie wartości RFM są związane również z insulinoopornością [51].…”

Section: Wskaźnik Relatywnej Tkanki Tłuszczowej -Rfmp (Relative Fat Mass Pediatric)unclassified

Anthropometric indicators associated with childhood obesity. Is it time for a BMI successor?

Walczyk

2021

J Educ Health Sport

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Childhood obesity and overweight have a wide impact on physical and mental health, and affect adulthood. In the last decade, scientists have been looking with concern at the increasingly frequent excess body weight in children and adolescents. Therefore, it is crucial to estimate the scale of the problem, and thus to correctly assess the level of adipose tissue. In assessing the nutritional status of the young, anthropometric measurements and indicators are used. Despite the widespread use of BMI (body mass index), this indicator is often criticized. BMI is frequently recognized as an imprecise tool and its use often results in misleading classification. Therefore, the aim of this study is to present selected, non-invasive anthropometric indicators related to overweight/obesity in children.Anthropometric indicators are relatively simple tools used in public health. However, the search for a simple and useful indicator is still ongoing, which will enable the assessment of the nutritional status both in clinical practice and in population studies. The paper presents the most frequently described anthropometric indicators in the literature: body mass index (BMI) and BMIz score, relative fat mass pediatric (RFMp), tri-ponderal mass index (TMI), pediatric body adiposity fat index (BAIp) and the mid-upper arm circumference (MUCA). The possibilities of application and their effectiveness for the estimation of adipose tissue content and the risk of coexisting diseases are presented.Although there is no consensus on the best tool, it is known that BMI will remain the main parameter in assessing nutritional status. Nevertheless, the authors suggest the usefulness of tools such as RFMp, TMI and MUAC as a good complement to the imperfections ascribed to BMI.

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Association between relative fat mass, uric acid, and insulin resistance in children with chronic kidney disease

Cited by 13 publications

References 47 publications

Development and Validation of a Novel Waist Girth-Based Equation to Estimate Fat Mass in Young Colombian Elite Athletes (F20CA Equation): A STROSA-Based Study

Development and Validation of a Novel Waist Girth-Based Equation to Estimate Fat Mass in Young Colombian Elite Athletes (F20CA Equation): A STROSA-Based Study

The Association Between Total Percent Fat and Serum Uric Acid in Adults

Anthropometric indicators associated with childhood obesity. Is it time for a BMI successor?

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