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COMPARING KOREAN DIGITS-IN-NOISE TEST AND HEARING IN NOISE TEST IN INDIVIDUALS WITH HEARING LOSS AND NORMAL HEARING
LABORATORY OF BRAIN & COGNITIVE SCIENCES FOR CONVERGENCE MEDICINE, HALLYM UNIVERSITY COLLEGE OF MEDICINE, ANYANG, REPUBLIC OF KOREA©ö, EAR AND INTERACTION CENTER, DOHEUN INSTITUTE FOR DIGITAL INNOVATION IN MEDICINE (D.I.D.I.M.), HALLYM UNIVERSITY SACRED HEART HOSPITAL, ANYANG, SOUTH KOREA©÷, DEPARTMENT OF OTORHINOLARYNGOLOGY-HEAD AND NECK SURGERY, AJOU UNIVERSITY SCHOOL OF MEDICINE©ø, DEPARTMENT OF OTORHINOLARYNGOLOGY-HEAD AND NECK SURGERY, HALLYM UNIVERSITY COLLEGE OF MEDICINE, CHUNCHEON, REPUBLIC OF KOREA©ù
SUNGMIN JO, SUNGMIN JO©ö©÷, JI-HYE HAN©ö©÷, SEUNGIK JEON©ö©÷, JEONG HUN JANG©ø, HYO-JEONG LEE©ö©÷©ù*
¸ñÀû: The Digits-in-Noise (DiN) test is a reliable and efficient hearing screening tool that evaluates speech in noise (SiN) perception using single or series of digits via web-based or smartphone applications. Similarly, the Hearing in Noise Test (HINT) assesses speech recognition by examining the ability to perceive recorded conversational sentences in both quiet and noisy environments. In this study, we compare the speech reception thresholds (SRTs) of DiIN and HINT across varying degrees of symmetric hearing loss (HL) to determine whether the DiN test provides comparable results to the HINT, supporting its potential as an alternative tool for assessing SiN perception. ¹æ¹ý:A total of 70 participants were included in this study, consisting of 50 individuals with bilateral symmetric sensorineural or conductive HL, and 20 with normal-hearing (NH). All participants completed the DiN test administered through headphones, and the HINT test presented via a loudspeaker. An adaptive procedure was employed for both tests to determine SRTs at the 50% correct response level. Spearman¡¯s rank- order correlation coefficients were separately calculated to examine the relationships between the DiN-SRTs for both ears, left noise right speech (LNRS), and left speech right noise (LSRN) and the HINT-SRTs in noise front (NF), noise left (NL), noise right (NR), and noise composite (NC) conditions for both the HL and NH groups. °á°ú:The DiN-SRTs for both ears showed a robust correlation with HINT-NF (r= 0.9, p < 0.001). The DiN-SRTs for LNRS were significantly correlated with HINT-NL, reflecting the common feature of left-sided noise (r= 0.76, p < 0.001). Similarly, the DiN-SRTs for LSRN showed a strong correlation with HINT-NR, indicating the shared characteristic of right-sided noise (r= 0.77, p < 0.001). Furthermore, the DiN-SRTs for both ears demonstrated the strongest correlation with the HINT-NC compared to all other conditions (r= 0.92, p < 0.001). °á·Ð:The strong relationships between DiN-SRTs for both ears and HINT-NF/NC suggest that the DiN test effectively reflects overall SiN perception as measured by HINT. Additionally, the significant correlations between DiN-SRTs for LNRS and HINT-NL and between DiN-SRTs for LSRN and HINT-NR indicate that both tests assess lateralized SiN perception in a comparable manner. These findings validate the DiN test as a reliable alternative to the HINT for assessing SiN perception, suggesting its potential as a more accessible and efficient assessment tool for clinical applications.


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