Putnam Orla C, Markfeld Jennifer E, Wright Sarah Towner, Feldman Jacob I, Goldblum Jessica, Karpinsky Maia, Neal Amanda J, Swanson Meghan R, Harrop Clare
The University of North Carolina at Chapel Hill, USA.
Vanderbilt University, USA.
Autism. 2025 May;29(5):1095-1117. doi: 10.1177/13623613241290072. Epub 2024 Nov 5.
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 abstractIn 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.
语言环境分析(LENA)系统在研究中越来越多地被用于记录和评估自闭症儿童及其家庭的日常言语。然而,目前尚不清楚研究人员如何使用LENA,以及该系统是否适合与自闭症患者合作。本系统综述的目的是总结LENA在自闭症研究中的应用,突出研究人员所确定的该系统的优势和局限性,并为未来的研究和临床应用提供建议。通过系统的数据库搜索,确定了42项使用LENA对自闭症儿童样本进行研究的项目。在自闭症研究中使用LENA的研究人员涉及不同年龄、环境和分析方法。大多数研究在推荐的指导方针范围内使用LENA。使用LENA最常见的目的是进行探索性研究。LENA系统的显著优势包括生态效度、成本效益和及时的临床反馈。局限性包括与人工编码相比,说话者识别率较低,以及关于言语背景和语言发展的信息有限。本系统综述为自闭症研究中使用LENA的相关方法提供了关键见解,并有助于告知研究人员和临床医生该技术未来使用的最佳实践。
摘要
在研究中,语言能力历来是通过实验室环境中的结构化任务来衡量的。近年来,越来越强调需要在个体的自然环境中(即通过社交互动或在家中)捕捉语言能力。考虑到自然语言对自闭症群体可能尤为重要,因为自闭症儿童的语言能力会因环境的不同而有很大差异。一种捕捉自然语言的常用工具是LENA记录系统,它可以长时间进行音频录制,并提供儿童和照顾者言语的估计。本系统综述的目的是总结LENA在自闭症研究中的应用,突出研究人员所确定的该系统的优势和局限性,并为未来的研究和临床应用提供建议。我们确定了42项以各种方式和环境使用LENA的自闭症研究。大多数研究在其创建者提出的指导方针范围内使用LENA,并且它最常用于了解自闭症儿童的言语或言语发展。LENA是临床医生和照顾者了解儿童言语的有用工具,但考虑使用它的人应该意识到对其准确性的担忧以及它所提供信息的局限性。在本综述中,我们在官方LENA指导方针的基础上补充了针对自闭症群体使用的具体建议。