(多)酚摄入量、体重和身体活动变化与炎症特征的前瞻性关联

IF 3.3 3区 医学 Q2 CARDIAC & CARDIOVASCULAR SYSTEMS Nutrition Metabolism and Cardiovascular Diseases Pub Date : 2024-12-20 DOI:10.1016/j.numecd.2024.103837
María Rubín-García, Facundo Vitelli-Storelli, Laura Álvarez-Álvarez, Montserrat Fitó, Zenaida Vázquez-Ruiz, Jordi Salas-Salvadó, Dolores Corella, Lluis Serra-Majem, Julia Warnberg, Dora Romaguera, Ramón Estruch, Xavier Pintó, J Alfredo Martínez, Clotilde Vázquez, Josep Vidal, Josep A Tur, Ángel M Alonso-Gómez, Emilio Ros, Jesús Vioque, José López-Miranda, Aurora Bueno-Cavanillas, Francisco J Tinahones, José Lapetra, Lidia Daimiel, Miguel Delgado-Rodríguez, Pilar Matía-Martín, Nancy Babio, Helmut Schröder, Rosa M Lamuela-Raventós, Vicente Martín-Sánchez, Raúl Zamora-Ros
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引用次数: 0

摘要

背景和目的:前瞻性评估(多)酚摄入量、体重(BW)和身体活动(PA)变化与1年后炎症评分变化之间的关系。方法和结果:这是一项前瞻性观察分析,涉及来自PREDIMED-Plus的484名具有可用炎症测量值的参与者。使用经过验证的半定量食物频率问卷和酚- explorer数据库估计(多)酚摄入量。根据8种血液生物标志物(IL-6、IL-8、IL-18、MCP-1、c肽、hs-CRP、瘦素和RANTES)计算炎症评分。使用结构方程评估体重、PA、(多)酚摄入量与炎症评分之间的关系。通过中介分析评估(多)酚摄入量变化与炎症评分之间的关系,并通过体重变化进行中介分析。总(多)酚摄入量的增加与炎症评分的降低有关(β = -0.005mg/1000 Kcal;CI95 % = -0.100,0.000),体重下降(β = -0.006mg/1000 Kcal;(95% = -0.010,-0.003)。PA升高与炎症评分降低相关(β = -0.129MET-min/d;CI95 % = -0.238, -0.021)和BW(β= -0.248见到小敏/ d;95% = -0.343,-0.152)。最后,体重的降低与炎症评分的降低相关(β = 0.240 kg;ci95 % = 0.155,0.325)。中介分析显示,体重的变化解释了(多)酚摄入量变化与炎症评分之间22%的总体关联。结论:观察到(多)酚摄入量的变化与炎症状态之间呈负相关,体重在其中起着重要的中介作用,强调了体重减少对炎症减轻的影响。
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Prospective association of changes in (poly)phenol intake, body weight and physical activity with inflammatory profile.

Backgrounds and aim: To prospectively evaluate the associations between changes in (poly)phenol intake, body weight(BW), and physical activity(PA) with changes in an inflammatory score after 1-year.

Methods and results: This is a prospective observational analysis involving 484 participants from the PREDIMED-Plus with available inflammatory measurements. (Poly)phenol intake was estimated using a validated semi-quantitative food frequency questionnaire and the Phenol-Explorer database. An inflammatory score was calculated based on 8 blood biomarkers (IL-6, IL-8, IL-18, MCP-1, C-peptide, hs-CRP, leptin, and RANTES). The association between BW, PA, (poly)phenol intake and inflammatory score was evaluated using structural equations. Mediation analyses were performed to assess the relationship between change in (poly)phenol intake and inflammatory score was mediated by the change in BW. A higher increase in total (poly)phenol intake was related to a decrease in the inflammatory score (β = -0.005mg/1000 Kcal; CI95 % = -0.100,0.000) along with a decrease in BW (β = -0.006mg/1000 Kcal; CI95 % = -0.010,-0.003). Increased PA was associated with a lower inflammatory score (β = -0.129MET-min/d; CI95 % = -0.238,-0.021) and BW (β = -0.248MET-min/d; CI95 % = -0.343,-0.152). Finally, a decrease in BW was associated with a decrease in the inflammatory score (β = 0.240 kg; CI95 % = 0.155,0.325). Mediation analyses revealed that changes in BW explained 22 % of the overall association between changes in (poly)phenol intake and inflammatory score.

Conclusions: An inverse association between changes in (poly)phenol intake and inflammatory status was observed, with BW playing a significant mediating role, emphasising the impact of BW reduction on inflammation reduction.

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来源期刊
CiteScore
6.80
自引率
2.60%
发文量
332
审稿时长
57 days
期刊介绍: Nutrition, Metabolism & Cardiovascular Diseases is a forum designed to focus on the powerful interplay between nutritional and metabolic alterations, and cardiovascular disorders. It aims to be a highly qualified tool to help refine strategies against the nutrition-related epidemics of metabolic and cardiovascular diseases. By presenting original clinical and experimental findings, it introduces readers and authors into a rapidly developing area of clinical and preventive medicine, including also vascular biology. Of particular concern are the origins, the mechanisms and the means to prevent and control diabetes, atherosclerosis, hypertension, and other nutrition-related diseases.
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