Frontiers in Neuroscience | |
Odor Hedonic Profile (OHP): a self-rating tool of everyday odors | |
Neuroscience | |
Bontempi Charlotte1  Jacquot Laurence1  Brand Gérard2  | |
[1] Université de Franche-Comté, Besançon, France;Université de Franche-Comté, Besançon, France;Centre des Sciences du Goût et de l'Alimentation, CNRS, Inrae, AgroSup Dijon, Université Bourgogne Franche-Comté, Dijon, France; | |
关键词: olfaction; hedonic valence; pleasantness; everyday odors; self-rating; | |
DOI : 10.3389/fnins.2023.1181674 | |
received in 2023-03-07, accepted in 2023-07-04, 发布年份 2023 | |
来源: Frontiers | |
【 摘 要 】
Odor hedonic estimation (pleasant/unpleasant) is considered the first and one of the most important dimensions in odor perception. Although there are several published scales that rate odor hedonicity, most of them use odorants that induce biases related to stimulus properties or test conditions and make difficult clinical or industrial applications. Thus, this study aimed to propose a model of odor hedonic profile (OHP) based on 14 items related to everyday odors without stimulus. The OHP is a self-rating tool based on the hedonic estimate representation and allows the determination of specific profiles, i.e., “conservative,” “neutral,” “liberal,” “negative olfactory alliesthesia,” and “positive olfactory alliesthesia.” It can be useful in different contexts (e.g., food studies) and general pathologies (e.g., eating disorders) or pathologies with mood/emotional disturbances (e.g., depression).
【 授权许可】
Unknown
Copyright © 2023 Charlotte, Laurence and Gérard.
【 预 览 】
Files | Size | Format | View |
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RO202310104387078ZK.pdf | 1066KB | download | |
FPHAR_fphar-2023-1154034_wc_tfx5.tif | 22KB | Image | download |
FEART_feart-2023-1192406_wc_tfx10.tif | 114KB | Image | download |
fnins-17-1181674-i0003.tif | 70KB | Image | download |
fnins-17-1181674-i0004.tif | 68KB | Image | download |
FPHAR_fphar-2023-1154034_wc_tfx13.tif | 26KB | Image | download |
FPHAR_fphar-2023-1154034_wc_tfx15.tif | 28KB | Image | download |
fams-09-1024571-i0001.tif | 45KB | Image | download |
fnins-17-1181674-i0008.tif | 67KB | Image | download |
fcomp-05-1085867-i0001.tif | 25KB | Image | download |
FPHAR_fphar-2023-1249041_wc_tfx19.tif | 32KB | Image | download |
FPHAR_fphar-2023-1249041_wc_tfx35.tif | 30KB | Image | download |
fnins-17-1123327-i002.jpg | 13KB | Image | download |
FEART_feart-2023-1169258_wc_tfx3.tif | 129KB | Image | download |
FEART_feart-2023-1169258_wc_tfx15.tif | 110KB | Image | download |
【 图 表 】
FEART_feart-2023-1169258_wc_tfx15.tif
FEART_feart-2023-1169258_wc_tfx3.tif
fnins-17-1123327-i002.jpg
FPHAR_fphar-2023-1249041_wc_tfx35.tif
FPHAR_fphar-2023-1249041_wc_tfx19.tif
fcomp-05-1085867-i0001.tif
fnins-17-1181674-i0008.tif
fams-09-1024571-i0001.tif
FPHAR_fphar-2023-1154034_wc_tfx15.tif
FPHAR_fphar-2023-1154034_wc_tfx13.tif
fnins-17-1181674-i0004.tif
fnins-17-1181674-i0003.tif
FEART_feart-2023-1192406_wc_tfx10.tif
FPHAR_fphar-2023-1154034_wc_tfx5.tif