The Use of Language ENvironment Analysis in Autism Research: A Systematic Review

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Bibliographic Details
Title: The Use of Language ENvironment Analysis in Autism Research: A Systematic Review
Language: English
Authors: Orla C. Putnam (ORCID 0000-0002-2215-0021), Jennifer E. Markfeld (ORCID 0000-0002-7995-6077), Sarah Towner Wright (ORCID 0000-0003-2076-8343), Jacob I. Feldman (ORCID 0000-0002-5723-5834), Jessica Goldblum (ORCID 0000-0003-4769-3935), Maia Karpinsky, Amanda J. Neal, Meghan R. Swanson, Clare Harrop (ORCID 0000-0003-3381-3473)
Source: Autism: The International Journal of Research and Practice. 2025 29(5):1095-1117.
Availability: SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com
Peer Reviewed: Y
Page Count: 23
Publication Date: 2025
Sponsoring Agency: Department of Education (ED)
National Center for Advancing Translational Sciences (NCATS) (DHHS/NIH)
National Institute on Deafness and Other Communication Disorders (NIDCD) (DHHS/NIH)
Contract Number: H325D180099
TL1TR002244
Document Type: Journal Articles
Information Analyses
Descriptors: Autism Spectrum Disorders, Speech, Research, Children, Audio Equipment, Research Tools
DOI: 10.1177/13623613241290072
ISSN: 1362-3613
1461-7005
Abstract: The Language ENvironment Analysis (LENA) system has been used increasingly in research to record and evaluate the everyday speech of autistic children and their families. However, it is unclear how researchers are using LENA and whether the system is well-suited for work with autistic individuals. The purpose of this systematic review is to summarize the use of LENA in autism research, to highlight the strengths and limitations of the system as identified by researchers, and to provide recommendations for future research and clinical use. Forty-two studies that used LENA with samples of autistic children were identified through a systematic database search. Researchers using LENA in autism did so across a variety of ages, settings, and analytical approaches. Most studies used LENA within recommended guidelines. The most common purpose of using LENA was for exploratory research. Noted strengths of the LENA system included ecological validity, cost-effectiveness, and timely clinical feedback. Limitations included lower rates of speaker identification compared to human coders and limited information regarding speech context and language development. This systematic review provides key insights into the methods surrounding LENA use in autism research and serves to inform researchers and clinicians on best practices for future use with this technology.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1469216
Database: ERIC
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Description
Abstract:The Language ENvironment Analysis (LENA) system has been used increasingly in research to record and evaluate the everyday speech of autistic children and their families. However, it is unclear how researchers are using LENA and whether the system is well-suited for work with autistic individuals. The purpose of this systematic review is to summarize the use of LENA in autism research, to highlight the strengths and limitations of the system as identified by researchers, and to provide recommendations for future research and clinical use. Forty-two studies that used LENA with samples of autistic children were identified through a systematic database search. Researchers using LENA in autism did so across a variety of ages, settings, and analytical approaches. Most studies used LENA within recommended guidelines. The most common purpose of using LENA was for exploratory research. Noted strengths of the LENA system included ecological validity, cost-effectiveness, and timely clinical feedback. Limitations included lower rates of speaker identification compared to human coders and limited information regarding speech context and language development. This systematic review provides key insights into the methods surrounding LENA use in autism research and serves to inform researchers and clinicians on best practices for future use with this technology.
ISSN:1362-3613
1461-7005
DOI:10.1177/13623613241290072