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体育活动对大学生睡眠结构和认知功能的影响。

The impact of physical activity on sleep architecture and cognitive function among college students.

作者信息

Ji Yanbin, Wang Benhong, Sun Xiulian, Wang Zhong, Chen Wenhao

机构信息

Department of Neurology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan, China.

Department of Psychiatry, Huzhou Third Municipal Hospital, The Affiliated Hospital of Huzhou University, Zhejiang, Huzhou, China.

出版信息

Front Psychiatry. 2025 Aug 29;16:1656278. doi: 10.3389/fpsyt.2025.1656278. eCollection 2025.

Abstract

BACKGROUND

Sleep constitutes approximately one-third of human life and is vital for health maintenance. Although previous studies have established an association between physical activity (PA) and sleep quality, research on the effect of PA in improving objective sleep indices remains scarce. This study investigates the impact of PA levels on sleep quality and provides direct experimental evidence to support sleep quality interventions among college students.

METHODS

PA and sleep parameters were assessed using sleep diaries, actigraphy, and polysomnography (PSG). The spectral analysis was performed on PSG-acquired electroencephalographic (EEG) data to examine power distribution variations across distinct sleep stages. Concurrently, venous blood samples were collected for quantitative analysis of serum brain-derived neurotrophic factor (BDNF) levels using enzyme-linked immunosorbent assay (ELISA). Cognitive functions were assessed using the Psychomotor vigilance task (PVT).

RESULTS

Actigraphy-derived 7-day average daily steps demonstrated significant positive correlations with PSG-measured sleep efficiency (SE) and non-rapid eye movement sleep stage 2 (N2), while exhibiting negative correlations with wake after sleep onset (WASO) and wake stage. The results of multiple linear regression analysis showed that with the increase in the average daily steps, SE and N2 time increased, and wake stage and WASO decreased. Spectral analysis of sleep EEG data demonstrated that average daily steps positively correlated with the mean power of slow sigma and fast sigma during NREM sleep, as well as mean theta power during REM sleep. Additionally, this study revealed that higher average daily steps correlated with elevated BDNF concentrations and reduced reaction time in the PVT task.

CONCLUSIONS

This study demonstrates that there is an association between PA and the modulation of sleep architecture and cognitive function among college students. These findings gain additional support from sleep EEG microstructural analyses, with the observed improvements potentially mediated through PA-mediated modulations in circulating BDNF levels.

摘要

背景

睡眠约占人类生命的三分之一,对维持健康至关重要。尽管先前的研究已证实身体活动(PA)与睡眠质量之间存在关联,但关于PA对改善客观睡眠指标影响的研究仍然匮乏。本研究调查了PA水平对睡眠质量的影响,并提供了直接的实验证据,以支持针对大学生的睡眠质量干预措施。

方法

使用睡眠日记、活动记录仪和多导睡眠图(PSG)评估PA和睡眠参数。对PSG采集的脑电图(EEG)数据进行频谱分析,以检查不同睡眠阶段的功率分布变化。同时,采集静脉血样本,采用酶联免疫吸附测定(ELISA)法对血清脑源性神经营养因子(BDNF)水平进行定量分析。使用心理运动警觉任务(PVT)评估认知功能。

结果

活动记录仪记录的7天平均每日步数与PSG测量的睡眠效率(SE)和非快速眼动睡眠第2阶段(N2)呈显著正相关,而与睡眠起始后觉醒(WASO)和清醒阶段呈负相关。多元线性回归分析结果显示,随着平均每日步数的增加,SE和N2时间增加,清醒阶段和WASO减少。睡眠EEG数据的频谱分析表明,平均每日步数与非快速眼动睡眠期间慢西格玛和快西格玛的平均功率以及快速眼动睡眠期间的平均θ功率呈正相关。此外,本研究还表明,较高的平均每日步数与BDNF浓度升高和PVT任务中反应时间缩短相关。

结论

本研究表明,PA与大学生睡眠结构和认知功能的调节之间存在关联。这些发现从睡眠EEG微观结构分析中获得了额外支持,观察到的改善可能通过PA介导的循环BDNF水平调节来介导。

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