ABSTRACT
OBJECTIVE: The audibility thresholds for the sound frequency of 137 upward- and downward-sloping audiograms showing sensorineural hearing loss were selected and analyzed in conjunction with speech recognition thresholds obtained from individuals seen at a public otolaryngology clinic to determine which frequencies in slope audiograms best represent speech recognition thresholds. METHOD: The linear regression model and mean square error were used to determine the associations between the threshold values. RESULT: The mean square error identified larger errors when using thresholds of 500, 1000, and 2000 Hz than when using audibility thresholds of 500, 1000, 2000, and 4000 Hz. The linear regression model showed a higher correlation (91%) between the audiogram thresholds for frequencies of 500, 1000, 2000, and 4000 Hz than for the frequencies of 500, 1000, and 2000 Hz (88%). CONCLUSION: Frequencies of 500, 1000, 2000, and 4000 Hz were the most significant in predicting the speech recognition threshold.
Subject(s)
Hearing Loss, Sensorineural/diagnosis , Speech Perception/physiology , Speech Reception Threshold Test/methods , Adolescent , Adult , Audiometry, Pure-Tone , Auditory Threshold , Female , Hearing Loss, Sensorineural/physiopathology , Humans , Linear Models , Middle Aged , Predictive Value of Tests , Reference Values , Young AdultABSTRACT
OBJECTIVE: The audibility thresholds for the sound frequency of 137 upward- and downward-sloping audiograms showing sensorineural hearing loss were selected and analyzed in conjunction with speech recognition thresholds obtained from individuals seen at a public otolaryngology clinic to determine which frequencies in slope audiograms best represent speech recognition thresholds. METHOD: The linear regression model and mean square error were used to determine the associations between the threshold values. RESULT: The mean square error identified larger errors when using thresholds of 500, 1000, and 2000 Hz than when using audibility thresholds of 500, 1000, 2000, and 4000 Hz. The linear regression model showed a higher correlation (91%) between the audiogram thresholds for frequencies of 500, 1000, 2000, and 4000 Hz than for the frequencies of 500, 1000, and 2000 Hz (88%). CONCLUSION: Frequencies of 500, 1000, 2000, and 4000 Hz were the most significant in predicting the speech recognition threshold. .
