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Correlation of obesity, dietary patterns, and blood pressure with uric acid: data from the NHANES 2017-2018.
Yao, Jia; Zhang, Yuan; Zhao, Jia; Lin, Yu-Ping; Lu, Qi-Yun; Fan, Guan-Jie.
Afiliação
  • Yao J; School of Second Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou, 510000, China.
  • Zhang Y; Department of Endocrinology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510000, China.
  • Zhao J; Department of Endocrinology, Guangdong Provincial Hospital of Chinese Medicine, 111 Dade Road, Yuexiu District, Guangzhou, 510120, China.
  • Lin YP; School of Second Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou, 510000, China.
  • Lu QY; Department of Endocrinology, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510000, China.
  • Fan GJ; Department of Endocrinology, Guangdong Provincial Hospital of Chinese Medicine, 111 Dade Road, Yuexiu District, Guangzhou, 510120, China.
BMC Endocr Disord ; 22(1): 196, 2022 Aug 05.
Article em En | MEDLINE | ID: mdl-35932038
ABSTRACT

BACKGROUND:

Prevalence rates of hyperuricemia and gout are increasing. Clinical investigations of hyperuricemia-related risk factors aid in the early detection, prevention, and management of hyperuricemia and gout. Ongoing research is examining the association of obesity, dietary patterns, and blood pressure (BP) with serum uric acid (sUA).

METHODS:

A cross-sectional study was conducted based on the National Health and Nutrition Examination Survey. The exposures included body mass index (BMI), dietary patterns, and BP. The outcome variable was sUA level. The weighted multivariate linear regression models and smooth curve fittings were used to assess the association of BMI, dietary patterns, and BP with sUA.

RESULTS:

There was a significantly positive correlation between BMI and sUA (ß = 0.059, 95% CI 0.054 to 0.064, P < 0.00001). Overweight and obese individuals had higher sUA levels than those with the normal BMI (ß = 0.451, 95% CI 0.357 to 0.546, P < 0.00001; ß = 0.853, 95% CI 0.760 to 0.946, P < 0.00001; respectively). Dietary energy intake was positively correlated with sUA (ß = 0.000, 95% CI 0.000 to 0.000, P = 0.01057). Dietary intake of carbohydrate and fiber were negatively correlated with sUA (ß = - 0.001, 95% CI - 0.002 to - 0.000, P < 0.00001; ß = - 0.008, 95% CI - 0.011 to - 0.004, P = 0.00001; respectively). Moreover, systolic BP was positively correlated with sUA (ß = 0.006, 95% CI 0.003 to 0.009, P = 0.00002). However, no statistical differences were found about the associations of dietary intake of total sugars, protein, total fat, cholesterol, and diastolic BP with sUA.

CONCLUSIONS:

The current cross-sectional investigation of a nationally representative sample of US participants showed that BMI, dietary energy intake, and systolic BP were positively correlated with sUA levels; dietary carbohydrate and fiber intake were negatively correlated with sUA levels. The findings might be helpful for the management and treatment of hyperuricemia and gout.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hiperuricemia / Gota Tipo de estudo: Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Hiperuricemia / Gota Tipo de estudo: Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article