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Correlation of obesity, dietary patterns, and blood pressure with uric acid: data from the NHANES 2017–2018
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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354319/ https://www.ncbi.nlm.nih.gov/pubmed/35932038 http://dx.doi.org/10.1186/s12902-022-01112-5 |
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author | Yao, Jia Zhang, Yuan Zhao, Jia Lin, Yu-Ping Lu, Qi-Yun Fan, Guan-Jie |
author_facet | Yao, Jia Zhang, Yuan Zhao, Jia Lin, Yu-Ping Lu, Qi-Yun Fan, Guan-Jie |
author_sort | Yao, Jia |
collection | PubMed |
description | 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 (β = 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 (β = 0.451, 95% CI: 0.357 to 0.546, P < 0.00001; β = 0.853, 95% CI: 0.760 to 0.946, P < 0.00001; respectively). Dietary energy intake was positively correlated with sUA (β = 0.000, 95% CI: 0.000 to 0.000, P = 0.01057). Dietary intake of carbohydrate and fiber were negatively correlated with sUA (β = − 0.001, 95% CI: − 0.002 to − 0.000, P < 0.00001; β = − 0.008, 95% CI: − 0.011 to − 0.004, P = 0.00001; respectively). Moreover, systolic BP was positively correlated with sUA (β = 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12902-022-01112-5. |
format | Online Article Text |
id | pubmed-9354319 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-93543192022-08-06 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 BMC Endocr Disord Research 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 (β = 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 (β = 0.451, 95% CI: 0.357 to 0.546, P < 0.00001; β = 0.853, 95% CI: 0.760 to 0.946, P < 0.00001; respectively). Dietary energy intake was positively correlated with sUA (β = 0.000, 95% CI: 0.000 to 0.000, P = 0.01057). Dietary intake of carbohydrate and fiber were negatively correlated with sUA (β = − 0.001, 95% CI: − 0.002 to − 0.000, P < 0.00001; β = − 0.008, 95% CI: − 0.011 to − 0.004, P = 0.00001; respectively). Moreover, systolic BP was positively correlated with sUA (β = 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12902-022-01112-5. BioMed Central 2022-08-05 /pmc/articles/PMC9354319/ /pubmed/35932038 http://dx.doi.org/10.1186/s12902-022-01112-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Yao, Jia Zhang, Yuan Zhao, Jia Lin, Yu-Ping Lu, Qi-Yun Fan, Guan-Jie Correlation of obesity, dietary patterns, and blood pressure with uric acid: data from the NHANES 2017–2018 |
title | Correlation of obesity, dietary patterns, and blood pressure with uric acid: data from the NHANES 2017–2018 |
title_full | Correlation of obesity, dietary patterns, and blood pressure with uric acid: data from the NHANES 2017–2018 |
title_fullStr | Correlation of obesity, dietary patterns, and blood pressure with uric acid: data from the NHANES 2017–2018 |
title_full_unstemmed | Correlation of obesity, dietary patterns, and blood pressure with uric acid: data from the NHANES 2017–2018 |
title_short | Correlation of obesity, dietary patterns, and blood pressure with uric acid: data from the NHANES 2017–2018 |
title_sort | correlation of obesity, dietary patterns, and blood pressure with uric acid: data from the nhanes 2017–2018 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9354319/ https://www.ncbi.nlm.nih.gov/pubmed/35932038 http://dx.doi.org/10.1186/s12902-022-01112-5 |
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