Evidence map›Paper›PMID 38858757›Full record

ArticleNutrition & metabolism2024

Association between serum uric acid levels and dietary fiber intake in adults: the Korea national health and nutrition examination survey (KNHANES VII, 2016-2018).

Jinyoung Kim, Da Young Jung, Jin-Hee Lee, Mee Kyoung Kim, Hyuk-Sang Kwon, Hyeon Woo Yim, Su-Jin Moon

Abstract read
In one paragraph

Article in Nutrition & metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jinyoung KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary's Hospital, The Catholic University of Korea, Seoul, Korea.
Da Young JungDepartment of Biostatistics, Clinical Research Coordinating Center, Catholic Medical Center, The Catholic University of Korea, Seoul, Korea.
Jin-Hee LeeCatholic Institute of Smart Healthcare Center, The Catholic University of Korea, Seoul, Republic of Korea.
Mee Kyoung KimDivision of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary's Hospital, The Catholic University of Korea, Seoul, Korea.
Hyuk-Sang KwonDivision of Endocrinology and Metabolism, Department of Internal Medicine, Yeouido St. Mary's Hospital, The Catholic University of Korea, Seoul, Korea.
Hyeon Woo YimDepartment of Preventive Medicine, The Catholic University of Korea, Seoul, Korea.
Su-Jin MoonDivision of Rheumatology, Department of Internal Medicine, Yeouido St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea. prajna79@catholic.ac.kr.

Funding

Institute of Clinical Medicine Research at Yeouido St. Mary's Hospital 2023
6 · The paper itself

Abstract

backgroundHyperuricemia could be a risk for various chronic diseases, and it could be largely corrected by diet control. This study was a nationwide cross-sectional study to investigate the association between serum uric acid level and dietary fiber intake.

methodsThis study analyzed data based on the Korean National Health and Nutrition Examination Survey conducted from 2016 to 2018. Adults over 20 years of age with normal renal function, defined as an estimated glomerular filtration rate (eGFR) over 30mL/min/1.73m

resultsA total of 15,278 subjects (6,455 males/8,823 females) were analyzed. The prevalence of hyperuricemia was 19.3% in men and 6.8% in women. There were significant, negative associations between serum uric acid and total fiber intake in both men and women. Consuming more than 27.9 g of dietary fiber in men and 20.7 g in women reduced the risk of hyperuricemia by approximately 30% with odds ratios of 0.72 (0.62-0.83) and 0.71 (0.56-0.88) in men and women, respectively. With regard to the risk reduction by the type of dietary fiber, cereal fiber was significantly identified in both men and women, while fruit fiber was only significant in men. In the subgroup analysis, this association remained significantly in young and metabolically healthy populations with normal weight.

conclusionsDietary fiber intake was inversely associated with serum uric acid levels. This relationship was particularly significant in metabolically healthy young adults.

Indexed as

Dietary fibersNutrition surveyUric acid

Identifiers

PMID38858757
PMCPMC11165754

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.