Association Between Waist Circumference and Magnesium and Uric Acid in Indigenous Argentinean Children Living at High Altitude

Hirschler, Valeria; Esteban, Marta; Gonzalez, Claudio; Molinari, Claudia; Castano, Luis

doi:10.2174/1871529x16666161027165250

Cited by 9 publications

(8 citation statements)

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“…[26] In another study done on identical twins to nullify the contribution of the genetic factors, SUA was found to be significantly associated with BMI even after adjusting for genetic and family environment factors in both men and women. [27] In one particular study on healthy schoolchildren, waist circumference correlated better with uric acid levels than BMI,[28] which was also noted in our study.…”

Section: Discussionsupporting

confidence: 88%

Uric acid and its correlation with various metabolic parameters: A population-based study

Mukhopadhyay

Ghosh

Pandit

et al. 2019

Indian J Endocr Metab

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Introduction: Uric acid, apparently an inert waste product, was found to have association with various metabolic disorders. The data regarding prevalence of serum uric acid (SUA) abnormalities and its correlation with other anthropo-metabolic parameters, however, are scanty. Materials and Methods: In all, 405 participants from a rural area were investigated for various metabolic parameters including uric acid. SUA level was evaluated for having any correlation with other anthropometric and metabolic disorders like obesity, dyslipidemia, metabolic syndrome (MetS), hypertension, calcium and vitamin D abnormalities, liver function, and glycemic alterations. Lean MetS is defined as those having waist criteria below the region specific waist criteria and even then satisfying the definition of MetS as per the National Cholesterol Education Program (NCEP) ATP-III (Adult Treatment Panel) criteria. Results: The mean uric acid was 4.2 mg/dL (±1.35), with 4.9 mg/dL (±1.28) for males and 3.7 mg/dL (±1.14) for females. Thirteen of 405 people (3.2%) found to have uric acid level of more than 7.0 mg/dL, and eight people out of 405 (2.0%) had hypouricemia. SUA showed correlation with age, blood pressure, and the anthropometric parameters for obesity, for example, weight, body mass index, waist circumference, waist hip ratio, waist height ratio, fasting insulin, Homeostatic Model Assessment of Insulin Resistance (HOMA-IR), low-density lipoprotein (LDL)-cholesterol, high-density lipoprotein (HDL)-cholesterol, and triglycerides. However, fasting glucose, calcium, phosphate, 25-hydroxy vitamin D3, and iPTH did not show any correlation with the SUA level. Compared to the healthy population, SUA level was elevated in MetS as defined by International Diabetes Federation (IDF) criteria. However, the SUA in healthy population was not significantly different from the Lean MetS, and SUA of Lean MetS was not significantly different from Obese MetS. Conclusion: SUA is elevated in MetS compared to the normal population. However, SUA in Lean MetS is not different from Obese MetS.

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Section: Discussionsupporting

confidence: 88%

Uric acid and its correlation with various metabolic parameters: A population-based study

Mukhopadhyay

Ghosh

Pandit

et al. 2019

Indian J Endocr Metab

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“…[40][41][42] Based on some studies, correlation between WC and SUA is higher than BMI. [43,44] In our study, as presented in table 2, in addition to BMI, WC and WHtR have positive correlation with SUA level, also, the higher BMI patients had higher mean SUA levels.…”

Section: Discussionsupporting

confidence: 60%

Serum uric acid: Association with anthropometric, lipid and complete blood count parameters in Iranian healthy population

Soori

Rezapour

Najafimehr

et al. 2020

Preprint

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Objectives A relationship between elevated serum uric acid (SUA) and hypertension, metabolic syndrome and cardiovascular disease has been established. In this study, the relationship of SUA levels and anthropometric measures, serum lipid profile and neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) was examined.Methods Anthropometric parameters including body-mass index (BMI), waist circumference (WC), waist to height ratio(WHtR), waist to hip ratio(W/H), waist to pelvic ratio(W/P), neck circumference(NC), body fat mass(BFM) were obtained, and serum lipid profile containing, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), total cholesterol, triglycerides(TG), also, NLP, PLR, basal metabolic rate (BMR), visceral fat level (VFL) and percent body fat (PBF) were measured among 2921 healthy subjects of young and middle-aged Iranian people. Statistical analysis was performed using SPSS 21 software. To assess the normality of data, the Kolmogorov–Smirnov test was used. Logarithmic transformation was performed for some variables with non-normal distribution. The association between 2 quantitative variables was measured using bivariate correlation (Pearson or Spearman). Pearson correlations and multiple regression analysis were performed to assess the correlation between variables. Simple and multiple regression analyses were performed to predict some variables. P- value <0.05 was considered significant.Results There were 1113 males (mean age, 41.49 ± 8.62 years) and 1808 females (mean age, 42.36 ± 9.07 years) in this study. the male group had a mean SUA level of 4.81± 1.2 mg/dl and the female group had a mean of 4.76 ± 1.1 mg/dl. The results of data analysis showed all studied factors were correlated with SUA level except VFL, BFM, and PLR. The highest correlation was related to skinfold fat thickness, BMR and HDL.Conclusion According to the finding of this study, SUA level measurement might be advisable in healthy population to identify those at increased risk of health problems who might benefit from further evaluation.

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“…Fingernail clippings were collected and stored in a sealed plastic bag in a dry and cool condition under room temperature until measurement. Samples were prepared and analyzed based on the following procedure: place samples in a beaker after weighting; add 6 mL nitric acid and 2 mL hydrogen peroxide solution to the breaker and leave it at room temperature overnight; heat the beaker to 180°C on an electronic oven until the samples are dissolved and the fluid turns clear; continue the heating process until the fluid volume reduces to 2 mL; add 5 mL hydrochloric acid to the beaker and continue heating until the fluid volume reduces to 2 mL; stop heating, transfer the fluid to a new volumetric flask, and let it cool naturally; drop deionized water into the volumetric flask until the volume reaches 25 mL; and the fluid is used for measuring Se, Chromium (Cr), [ 19 ] calcium (Ca), [ 20 ] and magnesium (Mg) [ 21 ] concentration by using lame atomic absorption spectrophotometry (ICP-AES optima 8000; PerkinElmer Company, Fremont).…”

Section: Methodsmentioning

confidence: 99%

Fingernail selenium levels in relation to the risk of obesity in Chinese children

Chen

Zhou³

et al. 2018

Medicine

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Selenium (Se) has been suggested to be beneficial to obesity development. However, limited studies have evaluated the association between Se and childhood obesity and the findings are inconsistent.The aim of this study was to examine the association of Se levels with obesity in children in a cross-sectional study.A total of 62 obese (21 girls) and 65 normal-weight children (27 girls) aged 7 to 13 years were recruited in Shanghai, China. Obesity was defined as body mass index (BMI) ≥ its 95th age- and sex-specific percentile for children. Participant demographic data and parental information were obtained through a self-administered questionnaire. Se concentration in fingernail clippings was quantified using flame atomic absorption spectrophotometry.The average age was 10.9 years (standard deviation = 1.0) and the mean BMI was 21.2 kg/m2 (standard deviation = 5.0). Fingernail Se levels were relatively higher among normal-weight children as compared with obese participants, though the difference was not statistically significant (P = .79). Se levels were inversely associated with the risk of childhood obesity after adjustment for potential confounders. The multivariable-adjusted odds ratio (95% confidence interval) was 0.24 (0.07–0.84) comparing participants in the highest with those who in the lowest tertile of Se levels (Plinear-trend = .03).Our study supported an inverse association between fingernail Se levels and the risk of obesity in Chinese children. Data generated from the present study are useful for designing future prospective cohort studies and/or randomized clinical trials.

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Association Between Waist Circumference and Magnesium and Uric Acid in Indigenous Argentinean Children Living at High Altitude

Cited by 9 publications

References 0 publications

Uric acid and its correlation with various metabolic parameters: A population-based study

Uric acid and its correlation with various metabolic parameters: A population-based study

Serum uric acid: Association with anthropometric, lipid and complete blood count parameters in Iranian healthy population

Fingernail selenium levels in relation to the risk of obesity in Chinese children

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