| Literature DB >> 28492720 |
Alessandra Giannella Samelli1, Silmara Rondon-Melo1, Camila Maia Rabelo1, Daniela Regina Molini-Avejonas1.
Abstract
OBJECTIVE: : To identify children at risk for hearing and/or language disorders and to investigate the association between these risks by conducting pre-validated hearing and language screenings.Entities:
Mesh:
Year: 2017 PMID: 28492720 PMCID: PMC5401618 DOI: 10.6061/clinics/2017(04)04
Source DB: PubMed Journal: Clinics (Sao Paulo) ISSN: 1807-5932 Impact factor: 2.365
Distribution of children by socioeconomic status.
| Socioeconomic status | A1 | 12 | 2.50 |
| A2 | 24 | 5.01 | |
| B1 | 57 | 11.89 | |
| B2 | 51 | 10.64 | |
| C1 | 113 | 23.59 | |
| C2 | 117 | 24.42 | |
| D | 93 | 19.41 | |
| E | 12 | 2.50 |
Absolute (and relative) frequencies of LP and LC responses according to hearing screening results.
| Language Production | ||||
|---|---|---|---|---|
| Hearing | Not failed | Failed | Total | |
| 316 (77%) | 96 (23%) | 412 (100%) | <0.0001 | |
| 34 (51%) | 33 (49%) | 67 (100%) | ||
Absolute (and relative) frequencies of LP and LC responses by gender.
| Language Production | ||||
|---|---|---|---|---|
| Gender | Not failed | Failed | Total | |
| 177 (75%) | 60 (25%) | 237 (100%) | 0.430 | |
| 173 (71%) | 69 (29%) | 242 (100%) | ||
Age (in means and standard deviations) for each LP and LC response.
| Not failed | Failed | |||
|---|---|---|---|---|
| LP Mean | Standard Deviation | Mean | Standard Deviation | |
| 3.65 | 1.76 | 3.16 | 1.64 | 0.006 |
Estimates of failure probability for LP for each hearing and age combination.
| Hearing | Age | Probability |
|---|---|---|
| 28.7% | ||
| 24.2% | ||
| 20.3% | ||
| 16.9% | ||
| 60.7% | ||
| 55.2% | ||
| 49.5% | ||
| 43.8% |
Legend: A logistic regression model was used to test the effect of risk (probability) associated with each variable after adjusting for age.
Estimates of the probability of LC deficits according to hearing screening results.
| Hearing | Probability |
|---|---|
| 6.8% | |
| 19.4% |
Legend: A logistic regression model was used to test the effect of risk (probability) associated with each variable.