BACKGROUND: Hearing loss is a prevalent and significant disability that impairs functional development and educational attainment of school children in developing countries. Lack of a simple and practical screening protocol often deters routine and systematic hearing screening at school entry. AIM: To identify predictors of hearing loss for a practical screening model in school-aged children. SETTINGS AND DESIGN: Community-based, retrospective case-control study of school entrants in an inner city. METHODS: Results from the audiologic and non-audiologic examination of 50 hearing impaired children in randomly selected mainstream schools were compared with those of a control group of 150 normal hearing children, matched for age and sex from the same population. The non-audiologic evaluation consisted of medical history, general physical examination, anthropometry, motor skills, intelligence and visual acuity while the audiologic assessment consisted of otoscopy, audiometry and tympanometry. STATISTICAL ANALYSIS: Multiple logistic regression analysis of significant variables derived from univariate analysis incorporating student t-test and chi-square. RESULTS: Besides parental literacy (OR:0.3; 95% CI:0.16-0.68), non-audiologic variables showed no association with hearing loss. In contrast, most audiologic indicators, enlarged nasal turbinate (OR:3.3; 95% CI:0.98-11.31), debris or foreign bodies in the ear canal (OR:5.4; 95% CI:1.0-36.03), impacted cerumen (OR:6.2; 95% CI:2.12-14.33), dull tympanic membrane (OR:2.2; 95% CI:1.10-4.46), perforated ear drum (OR:24.3; 95% CI:2.93-1100.17) and otitis media with effusion OME (OR:14.2; 95% CI:6.22-33.09), were associated with hearing loss. However, only parental literacy (OR:0.3; 95% CI:0.16-0.69), impacted cerumen (OR:4.0; 95% CI:1.66-9.43) and OME (OR:11.0; 95% CI:4.74-25.62) emerged as predictors. CONCLUSION: Selective screening based on the identification of impacted cerumen and OME will facilitate the detection of a significant proportion of hearing impaired school entrants.
BACKGROUND:Hearing loss is a prevalent and significant disability that impairs functional development and educational attainment of school children in developing countries. Lack of a simple and practical screening protocol often deters routine and systematic hearing screening at school entry. AIM: To identify predictors of hearing loss for a practical screening model in school-aged children. SETTINGS AND DESIGN: Community-based, retrospective case-control study of school entrants in an inner city. METHODS: Results from the audiologic and non-audiologic examination of 50 hearing impairedchildren in randomly selected mainstream schools were compared with those of a control group of 150 normal hearing children, matched for age and sex from the same population. The non-audiologic evaluation consisted of medical history, general physical examination, anthropometry, motor skills, intelligence and visual acuity while the audiologic assessment consisted of otoscopy, audiometry and tympanometry. STATISTICAL ANALYSIS: Multiple logistic regression analysis of significant variables derived from univariate analysis incorporating student t-test and chi-square. RESULTS: Besides parental literacy (OR:0.3; 95% CI:0.16-0.68), non-audiologic variables showed no association with hearing loss. In contrast, most audiologic indicators, enlarged nasal turbinate (OR:3.3; 95% CI:0.98-11.31), debris or foreign bodies in the ear canal (OR:5.4; 95% CI:1.0-36.03), impacted cerumen (OR:6.2; 95% CI:2.12-14.33), dull tympanic membrane (OR:2.2; 95% CI:1.10-4.46), perforated ear drum (OR:24.3; 95% CI:2.93-1100.17) and otitis media with effusion OME (OR:14.2; 95% CI:6.22-33.09), were associated with hearing loss. However, only parental literacy (OR:0.3; 95% CI:0.16-0.69), impacted cerumen (OR:4.0; 95% CI:1.66-9.43) and OME (OR:11.0; 95% CI:4.74-25.62) emerged as predictors. CONCLUSION: Selective screening based on the identification of impacted cerumen and OME will facilitate the detection of a significant proportion of hearing impaired school entrants.
Authors: Josephine A Czechowicz; Anna H Messner; Edith Alarcon-Matutti; Jorge Alarcon; Gina Quinones-Calderon; Silvia Montano; Joseph R Zunt Journal: Otolaryngol Head Neck Surg Date: 2010-02 Impact factor: 3.497
Authors: James E Saunders; Sarah Bessen; Isabelle Magro; Devin Cowan; Marvin Gonzalez Quiroz; Karen Mojica-Alvarez; Donoso Penalba; Catherine Reike; Christopher E Niemczak; Abigail Fellows; Jay C Buckey Journal: J Glob Health Date: 2022-08-09 Impact factor: 7.664
Authors: Alimohamad Asghari; Mohammad Farhadi; Ahmad Daneshi; Mehdi Khabazkhoob; Saman Mohazzab-Torabi; Maryam Jalessi; Hesamedin Emamjomeh Journal: Iran J Public Health Date: 2017-09 Impact factor: 1.429