The association of psoriasis with composite dietary antioxidant index and its components: a cross-sectional study from the National Health and Nutrition Examination Survey.

IF 3.9 2区医学 Q2 NUTRITION & DIETETICS Nutrition & Metabolism Pub Date : 2024-09-27 DOI:10.1186/s12986-024-00850-8

Biao Song, Weida Liu, Leilei Du, Xiaocong Li, Yi Duan

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Abstract

Background: Psoriasis is a chronic inflammatory skin disorder associated with various comorbidities. The role of nutrition and dietary antioxidants in psoriasis management has gained attention. The Composite Dietary Antioxidant Index (CDAI) quantifies overall dietary antioxidant intake, but its association with psoriasis remains unclear. This study aimed to investigate the association between the CDAI and psoriasis, as well as the relationship between individual components of CDAI and psoriasis risk.

Methods: Data from the US National Health and Nutrition Examination Survey (NHANES) were analyzed. Baseline characteristics, CDAI scores, and psoriasis status were assessed. Multivariable logistic regression and restricted cubic splines were employed to analyze the association.

Results: The study included 23,311 participants, with 621 diagnosed with psoriasis. Higher CDAI scores were associated with a lower odds ratio (OR) of psoriasis occurrence (OR = 0.72, 95% CI 0.56-0.92, P = 0.009 in Model 3). Vitamin E intake exhibited an inverse correlation with psoriasis risk (OR = 0.76, 95% CI 0.60-0.96, P = 0.039 in Model 3). Other CDAI components did not show significant associations with psoriasis.

Conclusion: This study demonstrates a significant inverse association between CDAI and psoriasis, indicating that higher dietary antioxidant intake is associated with a reduced risk of psoriasis. Specifically, higher vitamin E intake was associated with a lower likelihood of psoriasis. These findings underscore the potential role of dietary antioxidants in psoriasis management. Further research is warranted to elucidate the underlying mechanisms and explore targeted dietary interventions.

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银屑病与复合膳食抗氧化指数及其组成部分的关系：一项来自全国健康与营养调查的横断面研究。

背景：银屑病是一种慢性炎症性皮肤病，伴有多种并发症。营养和膳食抗氧化剂在银屑病治疗中的作用受到关注。膳食抗氧化剂综合指数（CDAI）可量化膳食抗氧化剂的总体摄入量，但其与银屑病的关系仍不清楚。本研究旨在调查CDAI与银屑病之间的关系，以及CDAI各组成部分与银屑病风险之间的关系：方法：分析了美国国家健康与营养调查（NHANES）的数据。对基线特征、CDAI评分和银屑病状况进行了评估。采用多变量逻辑回归和限制性三次样条来分析两者之间的关联：研究共纳入 23 311 名参与者，其中 621 人确诊为银屑病。CDAI 分数越高，银屑病发生的几率（OR）越低（OR = 0.72，95% CI 0.56-0.92，模型 3 中 P = 0.009）。维生素 E 摄入量与银屑病风险呈负相关（OR = 0.76，95% CI 0.60-0.96，模型 3 中 P = 0.039）。CDAI的其他成分与银屑病的关系并不明显：本研究表明，CDAI 与银屑病之间存在明显的反向关系，表明膳食中抗氧化剂摄入量越高，患银屑病的风险就越低。具体来说，维生素 E 摄入量越高，患银屑病的可能性就越低。这些发现强调了膳食抗氧化剂在银屑病治疗中的潜在作用。有必要开展进一步的研究，以阐明潜在的机制并探索有针对性的饮食干预措施。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nutrition & Metabolism 医学-营养学

CiteScore

8.40

自引率

0.00%

发文量

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.