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Serum uric acid does not predict incident metabolic syndrome in a population with high prevalence of obesity.

MedStar author(s):

0939-4753

Name of journal: Nutrition, metabolism, and cardiovascular diseases : NMCDAbstract: AIM: To evaluate whether uric acid (UA) predicts 4-yr incidence of metabolic syndrome (MetS) in non-diabetic participants of the Strong Heart Study (SHS) cohort.CONCLUSIONS: In the SHS, UA levels are associated to parameters of insulin resistance and to indices of inflammation. UA levels, however, do not predict incident MetS independently of the initial obesity-related increased FFM.Copyright � 2014 Elsevier B.V. All rights reserved.METHODS AND RESULTS: In this population-based prospective study we analyzed 1499 American Indians (890 women), without diabetes or MetS, controlled during the 4th SHS exam and re-examined 4 years later during the 5th SHS exam. Participants were divided into sex-specific tertiles of UA and the first two tertiles (group N) were compared with the third tertile (group H). Body mass index (BMI = 28.3 +/- 7 vs. 31.1 +/- 7 kg/m(2)), fat-free mass (FFM = 52.0 +/- 14 vs. 54.9 +/- 11 kg), waist-to-hip ratio, HOMA-IR (3.66 vs. 4.26), BP and indices of inflammation were significantly higher in group H than in group N (all p < 0.001). Incident MetS at the time of the 5th exam was more frequent in group H than group N (35 vs. 28%, OR 1.44 (95% CI = 1.10-1.91; p < 0.01). This association was still significant (OR = 1.13, p = 0.04) independently of family relatedness, sex, history of hypertension, HOMA-IR, central adiposity and renal function, but disappeared when fat-free mass was included in the model.All authors: de Simone G, Devereux RB, Ferrara LA, Franceschini N, Howard BV, Jolly S, Lee ET, Umans JG, Wang H, Yeh JFiscal year: FY2015Digital Object Identifier:

http://dx.doi.org/10.1016/j.numecd.2014.06.002

Date added to catalog: 2016-01-13

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Item type	Current library	Collection	Call number	Status	Date due	Barcode
Journal Article	MedStar Authors Catalog	Article	25063537	Available		25063537

AIM: To evaluate whether uric acid (UA) predicts 4-yr incidence of metabolic syndrome (MetS) in non-diabetic participants of the Strong Heart Study (SHS) cohort.

CONCLUSIONS: In the SHS, UA levels are associated to parameters of insulin resistance and to indices of inflammation. UA levels, however, do not predict incident MetS independently of the initial obesity-related increased FFM.Copyright � 2014 Elsevier B.V. All rights reserved.

METHODS AND RESULTS: In this population-based prospective study we analyzed 1499 American Indians (890 women), without diabetes or MetS, controlled during the 4th SHS exam and re-examined 4 years later during the 5th SHS exam. Participants were divided into sex-specific tertiles of UA and the first two tertiles (group N) were compared with the third tertile (group H). Body mass index (BMI = 28.3 +/- 7 vs. 31.1 +/- 7 kg/m(2)), fat-free mass (FFM = 52.0 +/- 14 vs. 54.9 +/- 11 kg), waist-to-hip ratio, HOMA-IR (3.66 vs. 4.26), BP and indices of inflammation were significantly higher in group H than in group N (all p < 0.001). Incident MetS at the time of the 5th exam was more frequent in group H than group N (35 vs. 28%, OR 1.44 (95% CI = 1.10-1.91; p < 0.01). This association was still significant (OR = 1.13, p = 0.04) independently of family relatedness, sex, history of hypertension, HOMA-IR, central adiposity and renal function, but disappeared when fat-free mass was included in the model.

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