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The home language environment in rural China: variations across family characteristics

BACKGROUND: A rich language environment is an important element of a nurturing home environment. Despite their proven importance, vocabulary and conversation have been shown to vary widely across households—even within the same socio-economic class. One significant gap in the existing literature is...

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Autores principales: Ma, Yue, Jonsson, Laura, Yao, Zixin, Zhang, Xinwu, Friesen, Dimitris, Medina, Alexis, Rozelle, Scott, Pappas, Lucy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936727/
https://www.ncbi.nlm.nih.gov/pubmed/36797712
http://dx.doi.org/10.1186/s12889-023-15245-2
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author Ma, Yue
Jonsson, Laura
Yao, Zixin
Zhang, Xinwu
Friesen, Dimitris
Medina, Alexis
Rozelle, Scott
Pappas, Lucy
author_facet Ma, Yue
Jonsson, Laura
Yao, Zixin
Zhang, Xinwu
Friesen, Dimitris
Medina, Alexis
Rozelle, Scott
Pappas, Lucy
author_sort Ma, Yue
collection PubMed
description BACKGROUND: A rich language environment is an important element of a nurturing home environment. Despite their proven importance, vocabulary and conversation have been shown to vary widely across households—even within the same socio-economic class. One significant gap in the existing literature is its nearly exclusive geographic focus on Western and developed settings, with little attention given to poorer communities in lower/middle income countries. The purpose of this study was to empirically illustrate the characteristics of the home language environment in the low SES, non-Western cultural setting of rural China. METHODS: Using Language Environment Analysis (LENA) automated language-analysis system, this study measured the home language environment of 38 children aged 20-27 months in Northwest rural China. Our primary measures of the home language environment were Adult Word Count (AWC), Conversational Turn Count (CTC) and Child Vocalization Count (CVC). Multivariate linear regression models were used to examine the association between home language environment and family/child characteristics, and language skills (Measured by MacArthur-Bates Communicative Developmental Inventory score). RESULTS: In this paper, by comparison, we found that the home language environment of our rural sample fell far behind that of urban households. We also identify significant, positive correlations between language skills and both AWC and CTC. Our analysis finds no significant correlations between home language environment and family/child characteristics. CONCLUSION: In this paper, we present the first ever findings using the LENA system to measure the home language environment of young children from poor rural communities in China. We found that the home language environment of lower-SES household was significantly worse than high-SES households, and demonstrated the importance of the home language environment to language skills, pointing to a need for more high-quality studies of the home language environment in rural China to better understand possible mechanisms behind low levels of parent-child language engagement and ways to improve the home language environment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15245-2.
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spelling pubmed-99367272023-02-18 The home language environment in rural China: variations across family characteristics Ma, Yue Jonsson, Laura Yao, Zixin Zhang, Xinwu Friesen, Dimitris Medina, Alexis Rozelle, Scott Pappas, Lucy BMC Public Health Research BACKGROUND: A rich language environment is an important element of a nurturing home environment. Despite their proven importance, vocabulary and conversation have been shown to vary widely across households—even within the same socio-economic class. One significant gap in the existing literature is its nearly exclusive geographic focus on Western and developed settings, with little attention given to poorer communities in lower/middle income countries. The purpose of this study was to empirically illustrate the characteristics of the home language environment in the low SES, non-Western cultural setting of rural China. METHODS: Using Language Environment Analysis (LENA) automated language-analysis system, this study measured the home language environment of 38 children aged 20-27 months in Northwest rural China. Our primary measures of the home language environment were Adult Word Count (AWC), Conversational Turn Count (CTC) and Child Vocalization Count (CVC). Multivariate linear regression models were used to examine the association between home language environment and family/child characteristics, and language skills (Measured by MacArthur-Bates Communicative Developmental Inventory score). RESULTS: In this paper, by comparison, we found that the home language environment of our rural sample fell far behind that of urban households. We also identify significant, positive correlations between language skills and both AWC and CTC. Our analysis finds no significant correlations between home language environment and family/child characteristics. CONCLUSION: In this paper, we present the first ever findings using the LENA system to measure the home language environment of young children from poor rural communities in China. We found that the home language environment of lower-SES household was significantly worse than high-SES households, and demonstrated the importance of the home language environment to language skills, pointing to a need for more high-quality studies of the home language environment in rural China to better understand possible mechanisms behind low levels of parent-child language engagement and ways to improve the home language environment. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15245-2. BioMed Central 2023-02-16 /pmc/articles/PMC9936727/ /pubmed/36797712 http://dx.doi.org/10.1186/s12889-023-15245-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ma, Yue
Jonsson, Laura
Yao, Zixin
Zhang, Xinwu
Friesen, Dimitris
Medina, Alexis
Rozelle, Scott
Pappas, Lucy
The home language environment in rural China: variations across family characteristics
title The home language environment in rural China: variations across family characteristics
title_full The home language environment in rural China: variations across family characteristics
title_fullStr The home language environment in rural China: variations across family characteristics
title_full_unstemmed The home language environment in rural China: variations across family characteristics
title_short The home language environment in rural China: variations across family characteristics
title_sort home language environment in rural china: variations across family characteristics
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9936727/
https://www.ncbi.nlm.nih.gov/pubmed/36797712
http://dx.doi.org/10.1186/s12889-023-15245-2
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