开发音频引导的深呼吸和听觉Go/No-Go任务,以评估其对年轻人健康的影响:一项试点研究。

Biomedizinische Technik. Biomedical engineering Pub Date : 2023-10-23 Print Date: 2024-04-25 DOI:10.1515/bmt-2023-0410
Eng Keat Kwa, Soon Keng Cheong, Lin Kooi Ong, Poh Foong Lee
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引用次数: 0

摘要

目的:大量研究表明,深呼吸(DB)可以增强健康。存在多种深呼吸方法,但很少有采用音频来达到类似的结果。本研究开发了音频引导DB,并通过自行创建的听觉Go/No-Go任务、潮气量变化和心理测量来评估其对健康人群的直接影响。方法:用自然声音制作音频引导数据库。同时,Arduino建立了基于音频的Go/No-Go范式来衡量注意力水平。招募了32名健康的年轻人(n=32)。心理问卷(Rosenberg自尊量表(RSES)、认知和情感正念量表修订版(CAMS-R)、感知压力量表(PSS))、潮气量和注意力水平的客观测量以及听觉Go/No-Go任务在5岁前后进行 DB的最小值。结果:结果显示,潮气量和任务反应时间比基线显著增加(分别为p=0.003和p=0.033)。(1)任务准确度与委托误差(r=-0.905),(2)CAMS-r与任务准确度(r=-0.425)、委托误差(r=0.53)、遗漏误差(r=0.395)和PSS(r=-0.477),以及(3)RSES与任务反应时间(r=-0.47)、任务准确度,PSS(r=-0.552)和CAMS-r(r=0.591)。结论:这项试点研究表明它与年轻人的幸福感之间存在联系,并提出了听觉Go/No-Go任务,用于评估不同群体的注意力,同时保持身心健康。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of audio-guided deep breathing and auditory Go/No-Go task on evaluating its impact on the wellness of young adults: a pilot study.

Objectives: Numerous studies indicate that deep breathing (DB) enhances wellbeing. Multiple deep breathing methods exist, but few employ audio to reach similar results. This study developed audio-guided DB and evaluated its immediate impacts on healthy population via self-created auditory Go/No-Go task, tidal volume changes, and psychological measures.

Methods: Audio-guided DB with natural sounds to guide the DB was developed. Meanwhile, audio-based Go/No-Go paradigm with Arduino was built to measure the attention level. Thirty-two healthy young adults (n=32) were recruited. Psychological questionnaires (Rosenberg's Self-Esteem Scale (RSES), Cognitive and Affective Mindfulness Scale-Revised (CAMS-R), Perceived Stress Scale (PSS)), objective measurements with tidal volume and attention level with auditory Go/No-Go task were conducted before and after 5 min of DB.

Results: Results showed a significant increment in tidal volume and task reaction time from baseline (p=0.003 and p=0.033, respectively). Significant correlations were acquired between (1) task accuracy with commission error (r=-0.905), (2) CAMS-R with task accuracy (r=-0.425), commission error (r=0.53), omission error (r=0.395) and PSS (r=-0.477), and (3) RSES with task reaction time (r=-0.47), task accuracy (r=-0.362), PSS (r=-0.552) and CAMS-R (r=0.591).

Conclusions: This pilot study suggests a link between it and young adults' wellbeing and proposes auditory Go/No-Go task for assessing attention across various groups while maintaining physical and mental wellness.

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