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通过分析接受特里尔社会应激测试的受试者所收集的气体并进行统计分析,鉴定皮肤气体中的应激标志物。

Identifying stress markers in skin gases by analysing gas collected from subjects undergoing the Trier social stress test and performing statistical analysis.

机构信息

Panasonic Corporation, Technology Innovation Division, 1006 Kadoma, Kadoma City, Osaka 571-8508, Japan.

出版信息

J Breath Res. 2019 Apr 16;13(3):036003. doi: 10.1088/1752-7163/ab0903.

DOI:10.1088/1752-7163/ab0903
PMID:30790788
Abstract

In recent years, there has been great interest in mental health disorders. It is very important for people with mental health disorders to protect themselves from the stressful conditions that can occur as part of daily life before their symptoms become worse. We attempted to identify stress markers in skin gases in order to study the stress condition non-invasively in real time. We investigated changes in the skin gas components relative to the normal skin gas components of the subjects when stress was induced in the subjects using the Trier social stress test method, and we attempted to identify stress markers from those changes. We used a statistical analysis method and identified six stress markers in skin gases released from the armpits of the subjects.

摘要

近年来,人们对心理健康障碍产生了浓厚的兴趣。对于患有心理健康障碍的人来说,在症状恶化之前,保护自己免受日常生活中可能出现的压力条件的影响非常重要。我们试图在皮肤气体中识别应激标志物,以便非侵入性地实时研究应激状态。我们使用特里尔社会应激测试方法,在受试者中诱发应激,研究了与受试者正常皮肤气体成分相比,皮肤气体成分的变化,并试图从这些变化中识别应激标志物。我们使用了一种统计分析方法,从受试者腋下释放的皮肤气体中识别出了六个应激标志物。

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