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循环系统炎症与早逝的关联以及地中海饮食的保护作用:英国生物库的一项大型前瞻性队列研究。

The association of circulating systemic inflammation with premature death and the protective role of the Mediterranean diet: a large prospective cohort study of UK biobank.

机构信息

Department of kidney, the 2nd Affiliated Hospital of Harbin Medical University, Harbin, 150081, China.

Department of Nutrition and Food Hygiene, School of Public Health, Key Laboratory of Precision nutrition and health, Ministry of Education, Harbin Medical University, Harbin, 150081, China.

出版信息

BMC Public Health. 2024 May 30;24(1):1449. doi: 10.1186/s12889-024-18888-x.

Abstract

BACKGROUND

Although previous studies have identified specific circulating inflammatory markers associated with the risk of mortality, they have often overlooked the broader impact of a comprehensive inflammatory response on health outcomes. This study aims to assess the association between circulating systemic inflammation and age-related hospitalization and premature death, as well as explore the potential mediating effects of various dietary patterns on these associations.

METHODS

A total of 448,574 participants enrolled in the UK Biobank study were included. Circulating C-reactive protein(CRP), white blood cell count(WBC), platelet count(Plt), and neutrophil/lymphocyte ratio(NLR) were measured, which were used to establish a weighted systemic inflammatory index of inflammation index(INFLA-Score). Dietary intake information was documented through 24-hour dietary recalls, and dietary pattern scores including Dietary Approaches to Stop Hypertension(DASH), Mediterranean(MED), and Healthy Eating Index-2020(HEI-2020) were calculated. Cox proportional hazards regression models were performed to assess the associations between INFLA-Score and age-related disease hospitalization, cause-specific and all-cause premature death.

RESULTS

During a median follow-up of 12.65 years, 23,784 premature deaths were documented. After adjusting for multiple covariates, higher levels of CRP, WBC, NLR, and INFLA-Score were significantly associated with increased risks of age-related disease hospitalization(HR=1.19; 95%:1.17-1.21; HR=1.17; 95%:1.15-1.19; HR=1.18; 95%:1.16-1.20; HR=1.19; 95%:1.17-1.21) and premature death(HR=1.68; 95%:1.61-1.75; HR=1.23; 95%:1.18-1.27; HR=1.45; 95%:1.40-1.50; HR=1.58; 95%:1.52-1.64). Compared to the lowest INFLA-Score group, the highest INFLA-Score group was associated with increased values of whole-body and organ-specific biological age, and had a shortened life expectancy of 2.96 (95% CI 2.53-3.41) and 4.14 (95% CI 3.75-4.56) years at the age of 60 years in women and men, respectively. Additionally, we observed no significant association of the INFLA-Score with aging-related hospitalization and premature death among participants who were more adhering to the Mediterranean (MED) dietary pattern(HR=1.07; 95%:0.99-1.16;HR=1.19; 95%:0.96-1.47).

CONCLUSION

A higher INFLA-Score was correlated with an increased risk of age-related hospitalization and premature death. Nevertheless, adherence to a Mediterranean (MED) diet may mitigate these associations.

摘要

背景

尽管先前的研究已经确定了与死亡风险相关的特定循环炎症标志物,但它们往往忽略了全面炎症反应对健康结果的更广泛影响。本研究旨在评估循环全身炎症与年龄相关住院和过早死亡之间的关系,并探讨各种饮食模式对这些关联的潜在中介作用。

方法

共纳入英国生物库研究中的 448574 名参与者。测量了循环 C 反应蛋白(CRP)、白细胞计数(WBC)、血小板计数(Plt)和中性粒细胞/淋巴细胞比值(NLR),用于建立炎症指数(INFLA-Score)的加权全身炎症指数。通过 24 小时膳食回忆记录膳食摄入信息,并计算膳食模式评分,包括停止高血压的膳食方法(DASH)、地中海(MED)和健康饮食指数-2020(HEI-2020)。使用 Cox 比例风险回归模型评估 INFLA-Score 与年龄相关疾病住院、特定原因和全因过早死亡之间的关系。

结果

在中位数为 12.65 年的随访期间,记录了 23784 例过早死亡。在调整了多个协变量后,CRP、WBC、NLR 和 INFLA-Score 水平升高与年龄相关疾病住院(HR=1.19;95%:1.17-1.21;HR=1.17;95%:1.15-1.19;HR=1.18;95%:1.16-1.20;HR=1.19;95%:1.17-1.21)和过早死亡(HR=1.68;95%:1.61-1.75;HR=1.23;95%:1.18-1.27;HR=1.45;95%:1.40-1.50;HR=1.58;95%:1.52-1.64)显著相关。与最低 INFLA-Score 组相比,最高 INFLA-Score 组全身和器官特异性生物年龄增加,女性和男性在 60 岁时的预期寿命分别缩短了 2.96(95%CI 2.53-3.41)和 4.14(95%CI 3.75-4.56)年。此外,我们发现,对于更遵守地中海(MED)饮食模式的参与者,INFLA-Score 与与年龄相关的住院和过早死亡之间没有显著关联(HR=1.07;95%:0.99-1.16;HR=1.19;95%:0.96-1.47)。

结论

较高的 INFLA-Score 与年龄相关住院和过早死亡的风险增加相关。然而,遵循地中海(MED)饮食可能会减轻这些关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/57b0/11312373/bf98ca278281/12889_2024_18888_Fig1_HTML.jpg

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