The home language environment in rural China: variations across family characteristics.
Early childhood development
Home language environment
Language development
urban/rural differences
Journal
BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562
Informations de publication
Date de publication:
16 02 2023
16 02 2023
Historique:
received:
01
08
2022
accepted:
09
02
2023
entrez:
16
2
2023
pubmed:
17
2
2023
medline:
22
2
2023
Statut:
epublish
Résumé
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. 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). 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. 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.
Sections du résumé
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.
Identifiants
pubmed: 36797712
doi: 10.1186/s12889-023-15245-2
pii: 10.1186/s12889-023-15245-2
pmc: PMC9936727
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
354Informations de copyright
© 2023. The Author(s).
Références
Behav Res Methods. 2021 Apr;53(2):467-486
pubmed: 32728916
Cortex. 2003 Apr;39(2):215-37
pubmed: 12784886
BMJ Open. 2018 Sep 1;8(8):e021628
pubmed: 30173158
Semin Speech Lang. 2012 Nov;33(4):290-6
pubmed: 23081789
Innov Clin Neurosci. 2013 Apr;10(4):10-9
pubmed: 23696954
Lancet. 2013 Aug 3;382(9890):427-451
pubmed: 23746772
Proc Natl Acad Sci U S A. 2010 Jul 27;107(30):13354-9
pubmed: 20643944
Health Technol Assess. 1998;2(9):1-184
pubmed: 9728296
Pediatrics. 2011 Nov;128(5):910-6
pubmed: 22007020
Lang Speech Hear Serv Sch. 2016 Apr 1;47(2):123-34
pubmed: 27019230
J Speech Lang Hear Res. 2020 Apr 27;63(4):1093-1105
pubmed: 32302262
Behav Res Methods. 2018 Oct;50(5):1921-1932
pubmed: 28936690
Biling (Camb Engl). 2014 Jan;17(1):189-202
pubmed: 35720734
Psychol Sci. 2013 Nov 1;24(11):2143-52
pubmed: 24022649
J Child Lang. 2016 Mar;43(2):366-406
pubmed: 26041013
Dev Psychol. 2008 Jul;44(4):929-38
pubmed: 18605825
Am J Speech Lang Pathol. 2017 May 17;26(2):248-265
pubmed: 28418456
Behav Res Methods. 2019 Aug;51(4):1754-1765
pubmed: 30446977
Psychol Sci. 2018 May;29(5):700-710
pubmed: 29442613
Child Dev. 2018 Sep;89(5):1674-1690
pubmed: 28452393
Dev Psychol. 2019 Jul;55(7):1414-1427
pubmed: 31033308
J Speech Lang Hear Res. 2018 Sep 19;61(9):2246-2258
pubmed: 30076420
Am Ann Deaf. 2017;162(3):295-311
pubmed: 28824021
Front Psychol. 2018 Aug 14;9:1445
pubmed: 30154750
Can J Public Health. 2018 Jan 22;108(5-6):e578-e585
pubmed: 29356667
Lancet. 2007 Jan 13;369(9556):145-57
pubmed: 17223478
Clinics (Sao Paulo). 2020 Apr 06;75:e1426
pubmed: 32294668
J Commun Disord. 2018 Mar - Apr;72:77-85
pubmed: 29402382
Child Dev. 2012 Sep-Oct;83(5):1762-74
pubmed: 22716950
Child Dev. 2017 Sep;88(5):1513-1526
pubmed: 28650107
J Child Psychol Psychiatry. 2015 Aug;56(8):848-56
pubmed: 25557322
J Dev Behav Pediatr. 2019 Jul/Aug;40(6):458-467
pubmed: 31107768
Child Dev. 2019 May;90(3):985-992
pubmed: 30102419
J Speech Lang Hear Res. 2002 Dec;45(6):1142-57
pubmed: 12546484
Pediatrics. 2018 Oct;142(4):
pubmed: 30201624
Proc Natl Acad Sci U S A. 2020 Feb 18;117(7):3484-3491
pubmed: 32015127
Pediatr Int. 2016 Dec;58(12):1277-1283
pubmed: 27285278
Int J Environ Res Public Health. 2021 Mar 06;18(5):
pubmed: 33800901
Science. 2005 Nov 4;310(5749):815-9
pubmed: 16272114
Lancet Glob Health. 2016 Dec;4(12):e916-e922
pubmed: 27717632
JAMA Pediatr. 2016 Feb;170(2):132-7
pubmed: 26720437
J Speech Lang Hear Res. 2015 Apr;58(2):445-52
pubmed: 25614978
Dev Sci. 2014 Nov;17(6):880-91
pubmed: 24702819