Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2017 Nov 28;7:16512. doi: 10.1038/s41598-017-16673-y

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© The Author(s) 2017

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

PMC Copyright notice

High frequency (HF) hearing loss predicts decision-making and response bias. (A) Participants less frequently rated the sentences as being “Not Important to My Health” when they had elevated HF thresholds. The HF hearing Z-score value of 0 corresponds to an approximate average value of 41 dB HL for pure tone thresholds from 1000 to 8000 Hz. (B) Participants with a lower proportion of “Not Important to My Health” ratings, again exhibited more HF hearing loss (red circles: HF Z-score median split), and were more likely to take more time to decide that information was “Not Important to My Health” than their more frequent “Important to My Health” decision. Negative values reflect faster reaction times for “Important to My Health” than “Not Important to My Health” decisions, and thus indicate a bias to respond that the information is “Important to My Health”. prop = proportion; RT = reaction time or response latency.