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与 C 反应蛋白相关的饮食模式及中国成年人血压变化轨迹:来自中国健康与营养调查的证据。

Dietary pattern associated with C-reactive protein and trajectories of blood pressure in Chinese adults: Evidence from the China Health and Nutrition Survey.

机构信息

Department of Clinical Nutrition, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu Province, China.

出版信息

J Hum Nutr Diet. 2022 Jun;35(3):605-612. doi: 10.1111/jhn.12978. Epub 2022 Jan 12.

Abstract

BACKGROUND

We aimed to investigate the relationship between a dietary pattern associated with C-reactive protein (CRP) levels and trajectories of blood pressure in Chinese adults.

METHODS

This prospective cohort study consisted of 7020 adults using three waves of the China Health and Nutrition Survey (2009, 2011 and 2015). Group-based trajectory modelling was used to identify trajectories of blood pressure. The dietary pattern associated with C-reactive protein (CRP) was measured using the reduced rank regression method. Logistic regression models were fit to explore the associations of the scores on inflammation-related dietary patterns and trajectories of blood pressure.

RESULTS

We identified a dietary pattern associated with CRP at baseline, which was high in red meat, snacks and nuts, but low in grains, poultry and fish. The odds ratios (95% confidence intervals) pertaining to the highest dietary pattern score group for the high-normal systolic blood pressure (SBP) group and the high SBP group were 1.316 (1.155-1.498) and 1.295 (1.030-1.627), respectively. However, no significant association was observed between dietary patterns and trajectories of diastolic blood pressure (p > 0.05).

CONCLUSIONS

Dietary pattern associated with CRP resulted in higher risk of high-normal and high levels of SBP.

摘要

背景

本研究旨在探讨与 C 反应蛋白(CRP)水平相关的饮食模式与中国成年人血压变化轨迹之间的关系。

方法

本前瞻性队列研究纳入了三次中国健康与营养调查(2009 年、2011 年和 2015 年)的 7020 名成年人。采用基于群组的轨迹模型来确定血压变化轨迹。采用降秩回归法测量与 CRP 相关的饮食模式。采用逻辑回归模型来探讨与炎症相关的饮食模式评分与血压变化轨迹之间的关联。

结果

我们在基线时确定了一种与 CRP 相关的饮食模式,该模式中红肉、零食和坚果含量较高,而谷物、家禽和鱼类含量较低。对于收缩压(SBP)处于正常高值组和 SBP 较高组,最高饮食模式评分组的比值比(95%置信区间)分别为 1.316(1.155-1.498)和 1.295(1.030-1.627)。然而,饮食模式与舒张压变化轨迹之间没有显著关联(p>0.05)。

结论

与 CRP 相关的饮食模式与 SBP 处于正常高值和较高水平的风险增加相关。

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