The Dietary Phytochemical Index Is Inversely Associated With the Odds of Premature Coronary Artery Disease (PCAD) in Iranian Adults: Iran Premature Coronary Artery Disease (IPAD) Study

膳食植物化学指数与伊朗成年人早发性冠状动脉疾病(PCAD)风险呈负相关:伊朗早发性冠状动脉疾病(IPAD)研究

阅读:1

Abstract

There is no evidence to prove the relationship between Dietary Phytochemical Index (DPI) and the incidence of premature coronary artery disease (PCAD) among the Iranian population. Therefore, this research investigates the association between the DPI score and the odds of PCAD within a nationally representative Iranian population. This case-control study was performed on 3161 (n = 2006 case and n = 1155 control) Iranian population < 70 y in women and < 60 y in men. Subjects showing normal results on coronary angiography comprised the control group, and those with stenotic lesions exceeding 75% in at least one coronary artery or over 50% in the left main coronary artery were identified as the case group. Information on dietary intake was collected using a validated 110-item food frequency questionnaire. Using the McCarthy equation, the DPI was calculated. A binary logistic regression model was used to evaluate the association between DPI and PCAD. The mean age of the study population was 53.7 (SD = 7.6) years, and 45.1% of them were female. In the unadjusted model, individuals in the highest quartile of DPI exhibited a significantly reduced likelihood of developing PCAD compared to those in the lowest quartile (OR = 0.25, 95% CI: 0.20-0.31, P trend < 0.001). Adjustment for potential confounders further reinforced the relationship, indicating that participants in the top DPI quartile had 89% reduced odds of PCAD relative to those in the first quartile (95% CI: 0.08-0.17, P trend < 0.001). Our findings revealed a significant negative association between the DPI and the odds of PCAD. However, more research is necessary to determine this association.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。