The Stability and Validity of Automated Indices of Vocal Development in Infants With Autistic and Non-Autistic Siblings.
Purpose: This study evaluates the extent to which automated indices of vocal development are stable and valid for predicting language in infants at increased familial likelihood for autism and/or language impairment and relatively lower likelihood infants. Method: A group of infants with autistic si...
| Publicado en: | Journal of Speech, Language & Hearing Research Vol. 66; no. 12; pp. 4934 - 4949 |
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| Autores principales: | , , , , , , , , |
| Formato: | Artículo |
| Publicado: |
American Speech-Language-Hearing Association
Dec2023
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=174209928&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 174209928 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 10924388 1SM jtl: Journal of Speech, Language & Hearing Research issn: 10924388 maglogo: N pubinfo: dt: Dec2023 vid: 66 iid: 12 pid: 42 pub: American Speech-Language-Hearing Association artinfo: ui: 174209928 10.1044/2023_JSLHR-23-00069 ppf: 4934 ppct: 15 formats: fmt: @attributes: type: P size: 1MB tig: atl: The Stability and Validity of Automated Indices of Vocal Development in Infants With Autistic and Non-Autistic Siblings. aug: au: Markfeld, Jennifer E. Feldman, Jacob I. Daly, Claire Santapuram, Pooja Bowman, Sarah M. Dunham-Carr, Kacie Suzman, Evan Keçeli-Kaysılı, Bahar Woynaroski, Tiffany G. affil: Department of Hearing and Speech Sciences, Vanderbilt University, Nashville, TN Department of Hearing and Speech Sciences, Vanderbilt University Medical Center, Nashville, TN Frist Center for Autism and Innovation, Vanderbilt University, Nashville, TN Children's Healthcare of Atlanta--Egleston Hospital, Atlanta, GA Vanderbilt University School of Medicine, Nashville, TN Department of Anesthesiology, Columbia University Irving Medical Center, New York, NY Department of Pediatrics, Cincinnati Children's Hospital, OH Vanderbilt Brain Institute, Vanderbilt University, Nashville, TN Neuroscience Graduate Program, Vanderbilt University, Nashville, TN Master's Program in Biomedical Science, Vanderbilt University, Nashville, TN UT Southwestern School of Medicine, Dallas, TX Vanderbilt Kennedy Center, Vanderbilt University Medical Center, Nashville, TN su: Language acquisition Psychometrics Autism in children Social classes Research Patient aftercare Research methodology evaluation Multiple regression analysis Comparative studies Questionnaires Descriptive statistics Prediction models Statistical correlation Predictive validity sug: subj: Language acquisition Psychometrics Autism in children Social classes Home Health Care Services Research Patient aftercare Research methodology evaluation Multiple regression analysis Comparative studies Questionnaires Descriptive statistics Prediction models Statistical correlation Predictive validity ab: Purpose: This study evaluates the extent to which automated indices of vocal development are stable and valid for predicting language in infants at increased familial likelihood for autism and/or language impairment and relatively lower likelihood infants. Method: A group of infants with autistic siblings (Sibs-autism; 20 infants) and a comparison group of infants with non-autistic siblings (Sibs-NA; 20 infants) wore Language ENvironment Analysis (LENA) recording devices for 16 hr on 2 days within a 1-week period. Extant software was used to derive several putative indices of vocal development from these recordings. Stability of these variables was examined across and within groups. Expressive and receptive language aggregates were calculated for each participant. Multiple regression analyses were used to (a) evaluate zero-order correlations for variables derived from LENA recordings with concurrent and future language and (b) test whether those associations were moderated by group status. Results: Both stability and validity differed by variable and group status. All variables reached acceptable stability in the Sibs-autism group within two to three observations, whereas stability of most variables was attenuated in the Sibs-NA group. No variables were associated with concurrent language in the theoretically motivated direction across groups, but two variables were strongly associated with concurrent expressive language in only the Sibs-NA group. Additionally, two variables were associated with later expressive language, though these correlations were again stronger in the Sibs-NA versus Sibs-autism group. Conclusions: Although selected automated indices of vocal development were stable in Sibs-autism and/or valid for predicting expressive language within Sibs-NA, no scores showed strong, theoretically motivated associations with language within the Sibs-autism group. Automated indices of vocal development may, thus, have limited validity or clinical utility for predicting language development in infants at elevated familial likelihood for autism. Supplemental Material: https://doi.org/10.23641/asha.24415735 pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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