Intimate partner violence and preschool self‐regulation: Examining the role of maternal emotion socialization in Black families.
Published In: Social Development, 2023, v. 32, n. 4. P. 1280 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Lamoreau, Renee; Park, Jae eun; Skov, Hilary; Pequet, Allison; Gray, Sarah A. O. 3 of 3
Abstract
The ways that parents respond to children's negative emotions shape the development of self‐regulation across early childhood. The objective of this study was to examine child self‐regulation in the context of intimate partner violence (IPV) exposure in a sample of Black, economically marginalized mothers and their young children (aged 3–5 years, N = 99). The study investigates the conditional effects of emotion socialization practices that (1) encourage expression of and problem‐solving around negative affect ("supportive"), and (2) encourage suppression of affective displays ("suppressive") on children's self‐regulation. We found a significant association between higher child self‐regulation and supportive parental reactions in the context of psychological IPV. We also found a significant association between higher child self‐regulation and suppressive parental reactions in the context of psychological IPV. Our findings are consistent with prior research suggesting Black parents who teach varied strategies for emotional expression may promote children's adaptation in high‐stress family environments. Macrosystem factors such as systemic racism and discrimination as well as the threat of family violence may shape how parents approach emotion socialization and the teaching of affective self‐expression and self‐regulation. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Social Development. 2023/11, Vol. 32, Issue 4, p1280
- Document Type:Article
- Subject Area:Social Sciences and Humanities
- Publication Date:2023
- ISSN:0961-205X
- DOI:10.1111/sode.12691
- Accession Number:173014180
- Copyright Statement:Copyright of Social Development is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.