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The bidirectional association between maternal speech and child characteristics

Published online by Cambridge University Press:  08 October 2019

Catherine MIMEAU
Affiliation:
Université Laval, Canada
Édith CANTIN
Affiliation:
Université Laval, Canada
Richard E. TREMBLAY
Affiliation:
Université de Montréal, Canada
Michel BOIVIN
Affiliation:
Université Laval, Canada
Ginette DIONNE*
Affiliation:
Université Laval, Canada
*
*Corresponding author: École de psychologie, Université Laval, 2325 rue des Bibliothèques, Québec (Quebec), G1V 0A6, Canada. E-mail: ginette.dionne@psy.ulaval.ca
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Abstract

Our aim was to assess whether infants influence the quantity and quality of their mothers’ speech to them and, in turn, whether this maternal speech influences children's later language. As 189 mothers interacted with each of their twins at age 0;5, we calculated the number of utterances, the proportion of sensitive utterances, and the proportion of self-repeated utterances they produced. We later assessed the twins’ language comprehension and production when they were 1;6, 2;6, and 5;2. Quantity of maternal speech predicted child language at 5;2, whereas sensitivity predicted child language at 2;6 and 5;2 and partial self-repetition predicted child language at 1;6. Conversely, sensitivity and partial self-repetition in maternal speech at 0;5 were associated with genetic factors from the child, indicating that infant characteristics influence the quality of maternal speech. Overall, our findings stress the importance of considering both directions in the association between maternal speech and child characteristics.

Figure 0

Table 1. Descriptive statistics of maternal speech, child language, and control variables

Figure 1

Table 2. Correlations between maternal speech, child language, and control variables

Figure 2

Figure 1. Summary of the path analyses predicting child language comprehension (a) and production (b) from maternal speech. Standardised estimates are presented. Child language variables were regressed on age before being entered into the models. Additional controls of child's sex, child's testing order, mother's education level, and mother's perceived parental impact were entered. Correlations between all predictors (the maternal speech and control variables) and correlations between the child language variables were also included. * p < .05.

Figure 3

Table 3. Intra-class correlations and summary of the univariate genetic models of maternal speech