反复冲刺对男性运动员免疫调节的影响以及无脂量、生物成熟和饮食炎症指数的作用:一项具有训练负荷控制见解的准实验研究。

IF 2.6 Q2 SPORT SCIENCES
Frontiers in Sports and Active Living Pub Date : 2025-09-23 eCollection Date: 2025-01-01 DOI:10.3389/fspor.2025.1662761
Paulo F de Almeida-Neto, E Alana D Fernandes, Gilmara G de Assis, Katsuhiko Suzuki, Roberto F da Costa, Lívia de Melo Atanásio, Vanessa Carla Monteiro Pinto, Felipe J Aidar, Breno Guilherme de Araújo Tinôco Cabral, Paulo Moreira Silva Dantas
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引用次数: 0

摘要

背景:重复冲刺运动(RSE)诱导炎症,这可能由无脂量(FFM)、生物成熟度(BM)和饮食模式调节,并通过饮食炎症指数(DII)进行评估。目的:探讨FFM、BM和DII对男性运动员RSE细胞因子反应的影响。方法:采用准实验方法和横断面设计对30名男性运动员(20名青少年,10名成人)进行研究。分别在RSE前、RSE后、RSE后2 h和24 h采集血样(3组6 × 35米短跑)。流式细胞术检测IL-1β、IL-6、IL-8、IL-10。通过DXA评估FFM,通过预测模型评估BM,通过24 h饮食回忆评估DII。先前的探索性分析包括Spearman’s和偏相关,以及mann - whitney - u检验。主要分析采用广义线性混合模型(GLMM)。结果:glmm证实BM、FFM和DII显著影响细胞因子反应(p p = 0.0023)。对于IL-6,存在时间效应(p p = 0.040), FFM和DII是两组的显著预测因子。IL-8也有类似的相互作用(p = 0.036)。对于IL-10,存在时间×脑内基质相互作用(p)。事后分析显示,FFM较低的青少年炎症反应更持久(il -6增加),而FFM较高的成年人表现出更有效的抗炎能力(IL-10增加)。结论:FFM, BM和DII在形成RSE的炎症反应中起关键作用,在规定训练负荷以优化恢复和表现时应考虑这些因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The effect of repeated sprints on immunological modulation and the role of fat-free mass, biological maturation and dietary inflammatory index in male athletes: a quasi-experimental study with insights for training loads control.

Background: Repeated sprint exercise (RSE) induces inflammation, which may be modulated by fat-free mass (FFM), biological maturation (BM), and dietary patterns, assessed by the Dietary Inflammatory Index (DII).

Aim: To examine the influences of FFM, BM, and DII on cytokine responses to RSE in male athletes.

Methods: A study with a quasi-experimental approach and cross-sectional design with a sample of 30 male athletes (20-adolescents, 10-adults). Blood samples were collected pre-, immediately after, 2 h and 24 h after RSE (3-sets of 6 × 35-m sprints). IL-1β, IL-6, IL-8, and IL-10 were analyzed via flow cytometry. FFM was assessed by DXA, BM by predictive models, and DII by 24 h dietary recalls. Prior exploratory analyses included Spearman's and partial correlations, and Mann-Whitney-U-tests. Main analyses were conducted using Generalized-Linear-Mixed-Models (GLMM).

Results: The GLMMs confirmed that BM, FFM, and DII significantly influenced cytokine responses (p < 0.05). FFM emerged as a significant predictor of IL-1β (p = 0.0023). For IL-6, there was a time effect (p < 0.001) and a Time × BM interaction (p = 0.040), with FFM and DII being significant predictors in both groups. A similar interaction was observed for IL-8 (p = 0.036). For IL-10, there was a Time × BM interaction (p < 0.001), where adults showed superiority over adolescents (p < 0.05). Post hoc analyses revealed that adolescents with lower FFM had a more prolonged inflammatory response (increased-IL-6), while adults with higher FFM demonstrated a more effective anti-inflammatory capacity (increased-IL-10).

Conclusion: FFM, BM, and DII play key roles in shaping the inflammatory response to RSE and should be considered when prescribing training loads to optimize recovery and performance.

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来源期刊
CiteScore
2.60
自引率
7.40%
发文量
459
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