‘Sniffin’ Sticks': Olfactory Performance Assessed by the Combined Testing of Odour Identification, Odor Discrimination and Olfactory Threshold

气味 听力学 嗅觉 检测阈值 嗅觉系统 可靠性(半导体) 心理学 鉴别测试 感觉阈 显著性差异 医学 神经科学 内科学 认知心理学 计算机科学 功率(物理) 物理 量子力学 实时计算
作者
Thomas Hummel,B. Sekinger,S. R. Wolf,E. Pauli,Gerd Kobal
出处
期刊:Chemical Senses [Oxford University Press]
卷期号:22 (1): 39-52 被引量:2189
标识
DOI:10.1093/chemse/22.1.39
摘要

'Sniffin' Sticks' is a new test of nasal chemosensory performance based on pen-like odor dispensing devices. It comprises three tests of olfactory function, namely tests for odor threshold (n-butanol, testing by means of a single staircase), odor discrimination (16 pairs of odorants, triple forced choice) and odor identification (16 common odorants, multiple forced choice from four verbal items per test odorant). After extensive preliminary investigations the tests were applied to a group of 104 healthy volunteers (52 female, 52 male, mean age 49.5 years, range 18-84 years) in order to establish test-retest reliability and to compare them with an established measure of olfactory performance (the Connecticut Chemosensory Clinical Research Center Test, CCCRC). Performance decreased with increasing age of the subjects (P < 0.001). Coefficients of correlation between sessions 1 and 2 were 0.61 for thresholds, 0.54 for discrimination and 0.73 for identification. Butanol thresholds as obtained with the CCCRC increased as a function of age; this relation to the subjects' age was not found for the CCCRC odor identification task. The test-retest reliability for CCCRC thresholds was 0.36, for odor identification it was 0.60. It is concluded that 'Sniffin' Sticks' may be suited for the routine clinical assessment of olfactory performance.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
WTT完成签到,获得积分20
刚刚
刚刚
苹果煎饼发布了新的文献求助10
刚刚
yan发布了新的文献求助10
刚刚
云肜发布了新的文献求助30
刚刚
Hello应助FatDanny采纳,获得10
1秒前
斯文败类应助娜行采纳,获得10
1秒前
庄小因完成签到,获得积分10
1秒前
热心市民小刘给热心市民小刘的求助进行了留言
1秒前
小钟完成签到,获得积分10
1秒前
徐慕源发布了新的文献求助10
1秒前
2秒前
深情安青应助任医生采纳,获得10
2秒前
2秒前
sherrinford完成签到,获得积分10
2秒前
科研通AI2S应助VDC采纳,获得10
3秒前
YAOYAO发布了新的文献求助10
3秒前
舒适豌豆完成签到,获得积分10
3秒前
Amber应助reck采纳,获得10
3秒前
Renhong完成签到,获得积分10
4秒前
5秒前
桐桐应助咕噜仔采纳,获得10
5秒前
季宇完成签到,获得积分10
6秒前
6秒前
科研通AI2S应助大脸妹采纳,获得10
6秒前
AA发布了新的文献求助10
7秒前
7秒前
7秒前
小二郎应助小喵采纳,获得10
8秒前
8秒前
stt发布了新的文献求助10
8秒前
9秒前
Oak完成签到 ,获得积分10
9秒前
9秒前
lyy完成签到 ,获得积分10
9秒前
10秒前
Anne应助fancy采纳,获得10
10秒前
10秒前
研友_汪老头完成签到,获得积分10
10秒前
雪花君完成签到,获得积分10
11秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527469
求助须知:如何正确求助?哪些是违规求助? 3107497
关于积分的说明 9285892
捐赠科研通 2805298
什么是DOI,文献DOI怎么找? 1539865
邀请新用户注册赠送积分活动 716714
科研通“疑难数据库(出版商)”最低求助积分说明 709678