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ORIGINAL RESEARCH article

Front. Nutr.
Sec. Nutritional Epidemiology
Volume 11 - 2024 | doi: 10.3389/fnut.2024.1497784
This article is part of the Research Topic Objective Dietary Assessment in Nutrition Epidemiology Studies - Volume II View all 15 articles

Association Between Oxidative Balance Scores and Peripheral Artery Disease in US Adults: a Cross-Sectional Study

Provisionally accepted
Zhou Min Zhou Min 1,2Pengfei He Pengfei He 1Keren Zhang Keren Zhang 1*Li-juan Deng Li-juan Deng 1*Ning Wang Ning Wang 1*Gang Wang Gang Wang 1*Guang-yao Yang Guang-yao Yang 3*Shang Ju Shang Ju 1*
  • 1 dongzhimen hospital, Beijing University of Chinese Medicine, Beijing, China
  • 2 Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, Beijing Municipality, China
  • 3 Beijing Hepingli Hospital, Beijing, China

The final, formatted version of the article will be published soon.

    BACKGROUND: The Oxidative Balance Score (OBS) quantifies the overall oxidative stress burden, with higher scores indicating greater antioxidant (relative to prooxidant) activity. This study aimed to examine the association between peripheral arterial disease (PAD) and OBS.METHODS AND MATERIALS: Data from the National Health and Nutrition Examination Survey (NHANES, 1999(NHANES, -2004) ) were analyzed for participants with ankle-brachial index (ABI) measurements. The total Oxidative Balance Score (OBS) comprised a lifestyle OBS (four lifestyle categories) and a dietary OBS (16 dietary factors). Logistic regression analyses evaluated associations between PAD and total OBS, lifestyle OBS, and dietary OBS. Restricted cubic spline (RCS) analyses assessed dose-response relationships between ABI, PAD, and OBS. Mediation analyses investigated the roles of glucolipid metabolism and renal function in the OBS-PAD association. Sensitivity and stratification analyses were conducted to ensure robustness.RESULTS: This study included 2,437 eligible adult participants. Logistic regression analysis, adjusted for multiple potential confounders, revealed negative associations between lifestyle OBS (OR = 0.88; 95% CI: 0.79, 1.00), total OBS (OR = 0.97; 95% CI: 0.94, 0.99), and the likelihood of PAD (all p < 0.05). Restricted cubic spline (RCS) analysis demonstrated a linear relationship between total OBS and PAD, with the likelihood of PAD decreasing as total OBS increased pfor nonlinearity = 0.736). Dietary OBS, lifestyle OBS, and total OBS all showed positive linear correlations with ABI levels (all p < 0.05). Mediation analysis indicated that fasting plasma glucose (FPG) and creatinine (CREA) mediated 5.9% and 0.8% of the association between total OBS and PAD, respectively (all p < 0.05). Sensitivity analyses confirmed the negative association between total OBS and PAD p< 0.05), supporting the stability of the results. Stratified analyses highlighted the significant influence of Age, particularly in the younger population aged 20-44 years, a group warranting greater attention. CONCLUSION: Our study demonstrated that higher total OBS is associated with a lower likelihood of PAD. Adopting an antioxidant-rich diet alongside a healthy lifestyle may help mitigate PAD risk.Additionally, modulating FPG and CREA levels could offer potential value in addressing the link between low OBS and PAD.

    Keywords: peripheral artery disease, Oxidative balance score, antioxidants and prooxidants, Diet, lifestyle

    Received: 17 Sep 2024; Accepted: 23 Dec 2024.

    Copyright: © 2024 Min, He, Zhang, Deng, Wang, Wang, Yang and Ju. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Keren Zhang, dongzhimen hospital, Beijing University of Chinese Medicine, Beijing, China
    Li-juan Deng, dongzhimen hospital, Beijing University of Chinese Medicine, Beijing, China
    Ning Wang, dongzhimen hospital, Beijing University of Chinese Medicine, Beijing, China
    Gang Wang, dongzhimen hospital, Beijing University of Chinese Medicine, Beijing, China
    Guang-yao Yang, Beijing Hepingli Hospital, Beijing, 100009, China
    Shang Ju, dongzhimen hospital, Beijing University of Chinese Medicine, Beijing, China

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