Sirtfood 摄入量与 10 年主要不良心血管事件风险的关系:一项基于人群的队列研究。

IF 3.9 2区 医学 Q2 NUTRITION & DIETETICS Nutrition & Metabolism Pub Date : 2024-05-10 DOI:10.1186/s12986-024-00798-9
Mahdieh Golzarand, Saghar Estaki, Parvin Mirmiran, Fereidoun Azizi
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引用次数: 0

摘要

背景Sirtuins 在调节新陈代谢和生物过程中发挥着重要作用。因此,我们假设能激活 sirtuins 的食物(即 "sirtfood")可能会改善健康状况。因此,本研究旨在调查sirtfood 摄入量与主要不良心血管事件(MACE)风险之间的关联:在这项队列研究中,2918 名在研究开始时(2006-2008 年)没有 MACE 病史的成年人参与了研究,并一直随访至 2018 年。研究人员使用经过验证的食物频率调查问卷计算了钠盐类食物的摄入量(每周份数)。对每位患者的医疗记录进行了评估,以检测MACE。采用 Cox 比例危险模型评估 sirtfood 摄入量与 MACE 风险之间的关系:研究的中位持续时间为 10.6 年。与第一格相比,第二格(95% CI:0.50, 0.98)和第三格(95% CI:0.42, 0.86)sirtfoods 摄入量与 MACE 风险的危险比(HR)分别为 0.70 和 0.60(95% CI:0.42, 0.86)。这种关联是非线性的,每周摄入五份以上的 sirtfoods 并不会降低 MACE 风险。此外,年龄之间存在明显的交互作用(P-交互作用结论):我们的研究结果表明,钠盐食品摄入量越高,发生 MACE 事件的风险越低,两者之间呈反比关系。这种关系是非线性的,每周摄入五份以上的钠盐食品并不会进一步降低 MACE 风险。
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Sirtfood intake in relation to the 10-year risk of major adverse cardiovascular events: a population-based cohort study.

Background: Sirtuins have an important role in the regulation of metabolic and biological processess. Thus, we hypothesized that foods that could activate sirtuins, known as "sirtfood", may improve health status. So, this study was aimed at investigating the association between the amount of sirtfood intake and the risk of major adverse cardiovascular events (MACE).

Methods: In this cohort study, 2918 adults who had no history of MACE at the start of the study (2006-2008) participated and were followed up on until 2018. The amount of sirtfoods intake (servings per week) was computed using a validated food frequency questionnaire. Each patient's medical records were evaluated to detect MACE. The Cox proportional hazards model was applied to assess the association between the amount of sirtfood intake and the risk of MACE.

Results: The median duration of the study was 10.6 years. The hazard ratio (HR) for the risk of MACE was 0.70 for the second (95% CI: 0.50, 0.98) and 0.60 (95% CI: 0.42, 0.86) for the third tertile of sirtfoods intake compared with the first tertile. This association was nonlinear, and sirtfoods consumption of more than five servings per week did not result in a lower risk of MACE. In addition, there was a significant interaction between age (P-interaction < 0.001) and sirtfoods intake in relation to MACE occurrence. When assessing sirtfood components, compared with the lowest intake, the highest amount of soy (HR: 0.74, 95% CI: 0.56, 0.99) and parsley (HR: 0.62, 95% CI: 0.47, 0.83) intake was related to a lower risk of MACE.

Conclusion: Our results indicated an inverse association between a higher amount of sirtfood intake and a lower risk of MACE incidents. This association was nonlinear, and having more than five servings of sirtfood per week did not reduce the risk of MACE any further.

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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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