成人血清尿酸水平与膳食纤维摄入量之间的关系:韩国全国健康与营养状况调查(KNHANES VII,2016-2018年)。

IF 3.9 2区 医学 Q2 NUTRITION & DIETETICS Nutrition & Metabolism Pub Date : 2024-06-10 DOI:10.1186/s12986-024-00809-9
Jinyoung Kim, Da Young Jung, Jin-Hee Lee, Mee Kyoung Kim, Hyuk-Sang Kwon, Hyeon Woo Yim, Su-Jin Moon
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引用次数: 0

摘要

背景:高尿酸血症是多种慢性疾病的危险因素之一,通过控制饮食可以在很大程度上纠正这一症状。本研究是一项全国性横断面研究,旨在调查血清尿酸水平与膳食纤维摄入量之间的关联:本研究分析了基于 2016 年至 2018 年进行的韩国国民健康与营养调查的数据。研究对象包括 20 岁以上、肾功能正常(肾小球滤过率(eGFR)超过 30 毫升/分钟/1.73 平方米)的成年人。高尿酸血症的标准是男性≥7 mg/dL,女性≥6 mg/dL。有关饮食摄入量的数据采用 24 小时回忆法获得:结果:共分析了 15,278 名受试者(6,455 名男性/8,823 名女性)。男性高尿酸血症发病率为 19.3%,女性为 6.8%。男性和女性的血清尿酸与总纤维摄入量之间存在明显的负相关。摄入超过 27.9 克膳食纤维的男性和摄入超过 20.7 克膳食纤维的女性患高尿酸血症的风险分别降低了约 30%,男性和女性的几率比分别为 0.72(0.62-0.83)和 0.71(0.56-0.88)。关于通过膳食纤维类型降低风险的问题,谷物纤维在男性和女性中都有显著性,而水果纤维仅在男性中有显著性。在亚组分析中,这种关联在体重正常、年轻且代谢健康的人群中依然显著:结论:膳食纤维摄入量与血清尿酸水平成反比。结论:膳食纤维摄入量与血清尿酸水平成反比,这种关系在代谢健康的年轻人中尤为明显。
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Association between serum uric acid levels and dietary fiber intake in adults: the Korea national health and nutrition examination survey (KNHANES VII, 2016-2018).

Background: Hyperuricemia 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.

Methods: This 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/1.73m2, were included. The criteria for hyperuricemia were ≥ 7 mg/dL in men and ≥ 6 mg/dL in women. Data regarding dietary intake were obtained using the 24-hour recall method.

Results: A 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.

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

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来源期刊
Nutrition & Metabolism
Nutrition & Metabolism 医学-营养学
CiteScore
8.40
自引率
0.00%
发文量
78
审稿时长
4-8 weeks
期刊介绍: Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects. The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases. Key areas we wish to encourage submissions from include: -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes; -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components; -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved; -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.
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