Anouk M Linssen1, Martin P J van Boxtel2, Manuela A Joore3, Lucien J C Anteunis4. 1. Department of Otorhinolaryngology, Head and Neck Surgery, Maastricht University Medical Centre, School for Mental Health and Neuroscience of the Faculty of Health, Medicine and Life Sciences, Maastricht University, anouk.linssen@mumc.nl. 2. School for Mental Health and Neuroscience of the Faculty of Health, Medicine and Life Sciences, Maastricht University, Department of Psychiatry and Neuropsychology, Maastricht University. 3. Department of Clinical Epidemiology and Medical Technology Assessment, Maastricht University Medical Centre, and School for Public Health and Primary Care of the Faculty of Health, Medicine and Life Sciences, Maastricht University, The Netherlands. 4. Department of Otorhinolaryngology, Head and Neck Surgery, Maastricht University Medical Centre, School for Mental Health and Neuroscience of the Faculty of Health, Medicine and Life Sciences, Maastricht University.
Abstract
BACKGROUND: This study aimed to identify predictors of hearing thresholds (best-ear pure-tone average at 1, 2, and 4 kHz) and hearing deterioration in order to define potential target groups for hearing screening. METHODS: We analyzed data from the Maastricht Aging Study, a Dutch cohort (aged 24-81 years; N = 1,721) that was observed for 12 years. Mixed model analysis was used to calculate each participant's average hearing threshold deterioration rate during the follow-up period. We built ordinary least square linear regression models to predict the baseline threshold and deterioration rate. Potential predictors included in these models were age, gender, type of occupation, educational level, cardiovascular disease, diabetes, systemic inflammatory disease, hypertension, obesity, waist circumference, smoking, and physical activity level. We also examined the relationship between baseline threshold and the deterioration rate. RESULTS: Poorer baseline thresholds were strongly associated with faster hearing deterioration. Higher age, male gender, manual occupation, and large waist circumference were statistically significantly associated with poorer baseline thresholds and faster deterioration, although the effects of occupation type and waist circumference were small. CONCLUSIONS: This study indicates that age and gender must be taken into account when determining the target population for adult hearing screening and that the time interval between repeated screenings should be based either on age or on the hearing thresholds at the first screening.
BACKGROUND: This study aimed to identify predictors of hearing thresholds (best-ear pure-tone average at 1, 2, and 4 kHz) and hearing deterioration in order to define potential target groups for hearing screening. METHODS: We analyzed data from the Maastricht Aging Study, a Dutch cohort (aged 24-81 years; N = 1,721) that was observed for 12 years. Mixed model analysis was used to calculate each participant's average hearing threshold deterioration rate during the follow-up period. We built ordinary least square linear regression models to predict the baseline threshold and deterioration rate. Potential predictors included in these models were age, gender, type of occupation, educational level, cardiovascular disease, diabetes, systemic inflammatory disease, hypertension, obesity, waist circumference, smoking, and physical activity level. We also examined the relationship between baseline threshold and the deterioration rate. RESULTS: Poorer baseline thresholds were strongly associated with faster hearing deterioration. Higher age, male gender, manual occupation, and large waist circumference were statistically significantly associated with poorer baseline thresholds and faster deterioration, although the effects of occupation type and waist circumference were small. CONCLUSIONS: This study indicates that age and gender must be taken into account when determining the target population for adult hearing screening and that the time interval between repeated screenings should be based either on age or on the hearing thresholds at the first screening.
Authors: Kevin J Contrera; Josh Betz; Jennifer Deal; Janet S Choi; Hilsa N Ayonayon; Tamara Harris; Elizabeth Helzner; Kathryn R Martin; Kala Mehta; Sheila Pratt; Susan M Rubin; Suzanne Satterfield; Kristine Yaffe; Eleanor M Simonsick; Frank R Lin Journal: J Aging Health Date: 2016-07-08
Authors: Stephanie C Rigters; Marc P van der Schroeff; Grigorios Papageorgiou; Robert J Baatenburg de Jong; André Goedegebure Journal: Audiol Neurootol Date: 2018-12-11 Impact factor: 1.854
Authors: Dane J Genther; Joshua Betz; Sheila Pratt; Steven B Kritchevsky; Kathryn R Martin; Tamara B Harris; Elizabeth Helzner; Suzanne Satterfield; Qian-Li Xue; Kristine Yaffe; Eleanor M Simonsick; Frank R Lin Journal: J Gerontol A Biol Sci Med Sci Date: 2014-07-14 Impact factor: 6.053
Authors: Jennifer A Deal; Nicholas S Reed; Alexander D Kravetz; Heather Weinreich; Charlotte Yeh; Frank R Lin; Aylin Altan Journal: JAMA Otolaryngol Head Neck Surg Date: 2019-01-01 Impact factor: 6.223
Authors: Mary E Fischer; Carla R Schubert; David M Nondahl; Dayna S Dalton; Guan-Hua Huang; Brendan J Keating; Barbara E K Klein; Ronald Klein; Ted S Tweed; Karen J Cruickshanks Journal: Atherosclerosis Date: 2014-12-20 Impact factor: 5.162
Authors: Karen J Cruickshanks; David M Nondahl; Dayna S Dalton; Mary E Fischer; Barbara E K Klein; Ronald Klein; F Javier Nieto; Carla R Schubert; Ted S Tweed Journal: J Am Geriatr Soc Date: 2015-05-06 Impact factor: 5.562
Authors: Jack A Mayhew; Mitchell J Cummins; Ethan T Cresswell; Robert J Callister; Doug W Smith; Brett A Graham Journal: Mol Pain Date: 2020 Jan-Dec Impact factor: 3.395