膳食炎症和氧化应激风险评分与骨质疏松症之间的关联:一项基于人群的分级风险分析

IF 1.4 4区 医学 Q3 RHEUMATOLOGY
ARP Rheumatology Pub Date : 2025-07-01
Ming Lei, Shaohui Zong
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引用次数: 0

摘要

本横断面研究分析了来自国家健康与营养调查(NHANES)的数据,使用多变量logistic回归模型检验饮食炎症指数(DII)和饮食氧化平衡评分(DOBS)与骨质疏松症风险之间的关系。结果表明,高DII和低DOBS与骨质疏松症风险增加显著相关,尤其是在女性中。目的:本横断面研究旨在调查膳食炎症潜力(通过膳食炎症指数(DII)和膳食氧化平衡评分(DOBS)测量)与骨质疏松症风险之间的关系,在一个具有全国代表性的大型样本中。进行了针对性别的分析,以评估这些关联的潜在差异。方法:使用2007-2008年、2009-2010年、2013-2014年和2017-2018年国家健康与营养检查调查(NHANES)周期的数据,包括10,709名参与者。根据24小时饮食回忆计算DII和DOBS评分,并将参与者分层为复合饮食风险组。骨质疏松症的定义基于双能x线吸收仪(DXA)测量。采用多变量logistic回归模型,在调整人口统计学、生活方式和临床因素后,估计不同饮食风险组骨质疏松症的比值比(ORs)。对男性和女性参与者进行了亚组分析。结果:在所有参与者中,高风险饮食组(高DII,低DOBS)的参与者患骨质疏松症的几率明显高于低风险组(模型3:OR: 2.31, 95% CI: 1.39-3.85, P = 0.002)。在性别分层分析中,与低危组相比,高危组女性患骨质疏松症的几率增加了两倍以上(模型3:OR: 2.71, 95% CI: 1.49-4.93, P = 0.002),而在男性中,饮食风险组与骨质疏松症之间的关联无统计学意义(模型3:OR: 1.61, 95% CI: 0.73-3.57, P = 0.235)。结论:高炎症潜力和低抗氧化剂摄入的饮食模式与骨质疏松症的风险增加有关,特别是在女性中。考虑到横断面设计,不能建立因果关系,需要前瞻性研究来进一步阐明这些关联。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Associations between combined dietary inflammatory and oxidative stress risk scores and osteoporosis: A population-based analysis of graded risk.

This cross-sectional study analyzed data from the National Health and Nutrition Examination Survey (NHANES) to examine the association between the dietary inflammatory index (DII) and dietary oxidative balance score (DOBS) with osteoporosis risk using multivariable logistic regression models. The results showed that a high DII and low DOBS were significantly associated with increased osteoporosis risk, particularly in women.

Purpose: This cross-sectional study aimed to investigate the association between dietary inflammatory potential, as measured by the dietary inflammatory index (DII), and dietary oxidative balance score (DOBS), with osteoporosis risk in a large, nationally representative sample. Gender-specific analyses were conducted to assess potential differences in these associations.

Methods: Data from the National Health and Nutrition Examination Survey (NHANES) cycles 2007-2008, 2009-2010, 2013-2014, and 2017-2018 were utilized, including 10,709 participants. DII and DOBS scores were calculated based on 24-hour dietary recalls, and participants were stratified into composite dietary risk groups. Osteoporosis was defined based on dual-energy X-ray absorptiometry (DXA) measurements. Multivariable logistic regression models were used to estimate the odds ratios (ORs) for osteoporosis across dietary risk groups, adjusting for demographic, lifestyle, and clinical factors. Subgroup analyses were conducted for male and female participants.

Results: In the overall participants, participants in the high-risk dietary group (high DII, low DOBS) had a significantly higher odds of osteoporosis compared to the low-risk group (Model 3: OR: 2.31, 95% CI: 1.39-3.85, P = 0.002). In gender-stratified analyses, women in the high-risk group had a more than twofold increased odds of osteoporosis compared to the low-risk group (Model 3: OR: 2.71, 95% CI: 1.49-4.93, P = 0.002), whereas in men, the association between dietary risk groups and osteoporosis was not statistically significant (Model 3: OR: 1.61, 95% CI: 0.73-3.57, P = 0.235).

Conclusion: Dietary patterns with high inflammatory potential and low antioxidant intake are associated with an increased risk of osteoporosis, particularly in women. Given the cross-sectional design, causal relationships cannot be established, and prospective studies are warranted to further clarify these associations.

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