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日常生活体力活动和中年队列认知功能的分形复杂性。

Fractal complexity of daily physical activity and cognitive function in a midlife cohort.

机构信息

Institute of Sport Exercise and Health, Division of Surgery and Interventional Science, University College London, London, UK.

School of Health Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.

出版信息

Sci Rep. 2023 Nov 20;13(1):20340. doi: 10.1038/s41598-023-47200-x.

Abstract

High stability of fluctuation in physiological patterns across fixed time periods suggest healthy fractal complexity, while greater randomness in fluctuation patterns may indicate underlying disease processes. The importance of fractal stability in mid-life remains unexplored. We quantified fractal regulation patterns in 24-h accelerometer data and examined associations with cognitive function in midlife. Data from 5097 individuals (aged 46) from the 1970 British Cohort Study were analyzed. Participants wore thigh-mounted accelerometers for seven days and completed cognitive tests (verbal fluency, memory, processing speed; derived composite z-score). Detrended fluctuation analysis (DFA) was used to examine temporal correlations of acceleration magnitude across 25 time scales (range: 1 min-10 h). Linear regression examined associations between DFA scaling exponents (DFAe) and each standardised cognitive outcome. DFAe was normally distributed (mean ± SD: 0.90 ± 0.06; range: 0.72-1.25). In males, a 0.10 increase in DFAe was associated with a 0.30 (95% Confidence Interval: 0.14, 0.47) increase in composite cognitive z-score in unadjusted models; associations were strongest for verbal fluency (0.10 [0.04, 0.16]). Associations remained in fully-adjusted models for verbal fluency only (0.06 [0.00, 0.12]). There was no association between DFA and cognition in females. Greater fractal stability in men was associated with better cognitive function. This could indicate mechanisms through which fractal complexity may scale up to and contribute to cognitive clinical endpoints.

摘要

生理模式在固定时间段内波动的高度稳定性表明健康的分形复杂性,而波动模式的更大随机性可能表明潜在的疾病过程。分形稳定性在中年的重要性仍未得到探索。我们在 24 小时加速度计数据中量化了分形调节模式,并研究了它们与中年认知功能的关联。分析了来自 1970 年英国队列研究的 5097 名(年龄 46 岁)个体的数据。参与者佩戴大腿上的加速度计七天,并完成了认知测试(语言流畅性、记忆、处理速度;得出的综合 z 分数)。去趋势波动分析(DFA)用于检查加速度幅度在 25 个时间尺度(范围:1 分钟-10 小时)上的时间相关性。线性回归检查 DFA 标度指数(DFAe)与每个标准化认知结果之间的关联。DFAe 呈正态分布(均值±标准差:0.90±0.06;范围:0.72-1.25)。在男性中,DFAe 增加 0.10 与未调整模型中综合认知 z 分数增加 0.30(95%置信区间:0.14,0.47)相关;言语流畅性的相关性最强(0.10 [0.04,0.16])。仅在完全调整模型中,言语流畅性与 DFA 之间仍存在关联(0.06 [0.00,0.12])。DFA 与女性认知之间没有关联。男性的分形稳定性越高,认知功能越好。这可能表明分形复杂性可能通过机制扩展到并有助于认知临床终点的机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/999a/10663528/5d9cba4c29d5/41598_2023_47200_Fig1_HTML.jpg

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