Predicting self-reported hearing problems using suprathreshold auditory processing and cognitive measures

Abstract

Measures typically included in standard audiometric test batteries often fail to correlate with self-reported auditory complaints. This is especially common for patients with normal- or near-normal-hearing sensitivity, like those who are aging or have a history of traumatic brain injury (TBI). This discrepancy likely stems from the use of measures that are not sensitive to auditory or cognitive processing deficits underlying patient complaints, which limits effective clinical assessment and management. Recent work has focused on making common laboratory-based measures more clinically accessible using a tablet-based app called PART. The goal of the current study was to identify PART measures that better reflect patient complaints. Data was collected from adults with (n = 37) or without (n = 36) a history of TBI that were matched in age and hearing sensitivity. Regression modeling was used to determine relationships between self-reported auditory difficulties and measures of auditory processing and cognition, including spectrotemporal modulation detection, frequency modulation detection, spatial release from masking, and the Auditory Visual Divided Attention Task (AVDAT). Items from the Concussion Symptom Subtype Inventory were used to measure self-reported auditory complaints. Results contribute to a better understanding of processing difficulties that underly auditory complaints in those with and without TBI.