The use of Language ENvironment Analysis in autism research: A systematic review

This publication is included in the Autistic Autism Scholarship Project. one author of this publication is identified as autistic in the project.

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Putnam, O., Markfeld, J. E., Wright, S. T., Feldman, J. I., Goldblum, J., Karpinsky, M., Neal, A. J., Swanson, M. R., & Harrop, C. (2024). The use of Language ENvironment Analysis in autism research: A systematic review. Autism, 29(5), 1095-1117. https://doi.org/10.1177/13623613241290072

Publication date: 5 Nov 2024 Added to AutiHub: 27 Sep 2026 Type: Article Article language: English

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Authors

Publication authors
9
Publication authors identified as autistic
1 / 9 (11.1%)

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. Lay abstract In research, language ability has historically been measured using structured tasks in laboratory settings. In recent years, there has been a growing emphasis on the need to instead capture language ability in an individual’s natural setting (i.e. through social interaction or in their home). Considering natural language may be particularly important for the autistic population, as an autistic child’s language ability can be very different depending on the setting. One common tool for capturing natural language is the LENA recording system, which takes audio recordings over long periods of time and provides estimates of children’s and caregivers’ speech. 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. We identified 42 autism studies that used LENA in a variety of ways and settings. Most studies used LENA within the guidelines put forth by its creators, and it was most commonly used to understand speech or speech development for autistic children. LENA is a useful tool for clinicians and caregivers to gain some insights into child speech, but those considering using it should be aware of concerns about its accuracy and limitations about the information it provides. In this review, we supplement the official LENA guidelines with specific suggestions for use with the autistic population.

Bibliography cited by this reference

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Cited bibliography overview

These indicators describe the bibliography cited by this publication. An author name is counted each time it appears in one cited reference, so the same person can be counted more than once. Names not yet linked to an author already present in AutiHub are treated as unknown, not as non-autistic. Last computed: 2 Oct 2026 01:01.

Cited references
106
With a DOI
91
Without a DOI, from raw bibliography text
15
2 / 106 (1.9%) cited references include at least one author identified as autistic.
References with data to complete
3 / 106 (2.8%)
References with detected author names
104 / 106 (98.1%)
Without detected author names
2
Without a structured title
3
Without a stable identifier
14
References with raw author names still to review
2
References with external metadata lookup issues
0
These indicators apply to cited references displayed on this page, after technical duplicates have been merged. A reference without a DOI can still support author statistics when a title and author names are available.
Author names detected in the cited bibliography
677
From DOI or external metadata
677
From validated raw bibliography text
0
Raw names already validated
0
Raw names still to review
3
155 / 677 (22.9%) names are linked to an author already present in AutiHub. 522 / 677 (77.1%) names are not yet linked.
Names linked to a person identified as autistic
11 / 677 (1.6%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 11 / 155 (7.1%). Distinct people identified as autistic: 11 / 548 (2.0%).
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