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Association between nutrient patterns and hyperuricemia: mediation analysis involving obesity indicators in the NHANES
BACKGROUND: Diet has long been hypothesized to play an important role in hyperuricemia, and weight gain is a factor that is strongly associated with the rise in serum urate. We aimed to clarify the mediating role of obesity in the relationship between diet and hyperuricemia and to determine whether...
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/PMC9617335/ https://www.ncbi.nlm.nih.gov/pubmed/36307786 http://dx.doi.org/10.1186/s12889-022-14357-5 |
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author | Wang, Juping Chen, Shuting Zhao, Junkang Liang, Jie Gao, Xue Gao, Qian He, Simin Wang, Tong |
author_facet | Wang, Juping Chen, Shuting Zhao, Junkang Liang, Jie Gao, Xue Gao, Qian He, Simin Wang, Tong |
author_sort | Wang, Juping |
collection | PubMed |
description | BACKGROUND: Diet has long been hypothesized to play an important role in hyperuricemia, and weight gain is a factor that is strongly associated with the rise in serum urate. We aimed to clarify the mediating role of obesity in the relationship between diet and hyperuricemia and to determine whether a weight-loss diet is an effective way to prevent hyperuricemia. METHODS: This cross-sectional study analysed representative samples of United States (n = 20,081; NHANES 2007–2016) adults. Nutrient patterns were derived with two methods: principal component analysis (PCA) and reduced rank regression (RRR) with obesity. Logistic regression and multivariable linear regression were applied to analyse the association between nutrient patterns in obesity and hyperuricemia. Mediation analyses were used to determine whether four obesity indicators, including body mass index (BMI), waist circumference (WC), visceral adiposity index (VAI) and lipid accumulation product index (LAP), mediated the relationship between nutrient patterns and hyperuricemia. RESULTS: PCA revealed three nutrient patterns (including “Low energy diet”, “Lower vitamin A, C, K pattern” and “Vitamin B group”), and only Vitamin B group had a total effect on hyperuricemia. RRR revealed one main nutrient pattern associated with obesity, which was characterized by High fat and low vitamin levels and was significantly associated with hyperuricemia. Mediation analysis showed that obesity mostly or even completely mediated the relationship between nutrient patterns and hyperuricemia, especially traditional obesity indicators, which played a key intermediary effect. The proportions of indirect effects for BMI and WC were as high as 53.34 and 59.69, respectively. CONCLUSIONS: Our findings suggest that the direct effect of diet on hyperuricemia is weak, and obesity plays a critical mediating role in the relationship between diet and hyperuricemia, which confirms that a weight-loss diet such as a “Low fat and high vitamin diet” may be useful in preventing hyperuricemia. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14357-5. |
format | Online Article Text |
id | pubmed-9617335 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96173352022-10-30 Association between nutrient patterns and hyperuricemia: mediation analysis involving obesity indicators in the NHANES Wang, Juping Chen, Shuting Zhao, Junkang Liang, Jie Gao, Xue Gao, Qian He, Simin Wang, Tong BMC Public Health Research BACKGROUND: Diet has long been hypothesized to play an important role in hyperuricemia, and weight gain is a factor that is strongly associated with the rise in serum urate. We aimed to clarify the mediating role of obesity in the relationship between diet and hyperuricemia and to determine whether a weight-loss diet is an effective way to prevent hyperuricemia. METHODS: This cross-sectional study analysed representative samples of United States (n = 20,081; NHANES 2007–2016) adults. Nutrient patterns were derived with two methods: principal component analysis (PCA) and reduced rank regression (RRR) with obesity. Logistic regression and multivariable linear regression were applied to analyse the association between nutrient patterns in obesity and hyperuricemia. Mediation analyses were used to determine whether four obesity indicators, including body mass index (BMI), waist circumference (WC), visceral adiposity index (VAI) and lipid accumulation product index (LAP), mediated the relationship between nutrient patterns and hyperuricemia. RESULTS: PCA revealed three nutrient patterns (including “Low energy diet”, “Lower vitamin A, C, K pattern” and “Vitamin B group”), and only Vitamin B group had a total effect on hyperuricemia. RRR revealed one main nutrient pattern associated with obesity, which was characterized by High fat and low vitamin levels and was significantly associated with hyperuricemia. Mediation analysis showed that obesity mostly or even completely mediated the relationship between nutrient patterns and hyperuricemia, especially traditional obesity indicators, which played a key intermediary effect. The proportions of indirect effects for BMI and WC were as high as 53.34 and 59.69, respectively. CONCLUSIONS: Our findings suggest that the direct effect of diet on hyperuricemia is weak, and obesity plays a critical mediating role in the relationship between diet and hyperuricemia, which confirms that a weight-loss diet such as a “Low fat and high vitamin diet” may be useful in preventing hyperuricemia. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14357-5. BioMed Central 2022-10-28 /pmc/articles/PMC9617335/ /pubmed/36307786 http://dx.doi.org/10.1186/s12889-022-14357-5 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 Wang, Juping Chen, Shuting Zhao, Junkang Liang, Jie Gao, Xue Gao, Qian He, Simin Wang, Tong Association between nutrient patterns and hyperuricemia: mediation analysis involving obesity indicators in the NHANES |
title | Association between nutrient patterns and hyperuricemia: mediation analysis involving obesity indicators in the NHANES |
title_full | Association between nutrient patterns and hyperuricemia: mediation analysis involving obesity indicators in the NHANES |
title_fullStr | Association between nutrient patterns and hyperuricemia: mediation analysis involving obesity indicators in the NHANES |
title_full_unstemmed | Association between nutrient patterns and hyperuricemia: mediation analysis involving obesity indicators in the NHANES |
title_short | Association between nutrient patterns and hyperuricemia: mediation analysis involving obesity indicators in the NHANES |
title_sort | association between nutrient patterns and hyperuricemia: mediation analysis involving obesity indicators in the nhanes |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9617335/ https://www.ncbi.nlm.nih.gov/pubmed/36307786 http://dx.doi.org/10.1186/s12889-022-14357-5 |
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