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Sensitivity to Psychosocial Influences at Age 3 Predicts Mental Health in Middle Childhood

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Bibliographic Details
Title: Sensitivity to Psychosocial Influences at Age 3 Predicts Mental Health in Middle Childhood
Language: English
Authors: Cassidy L. McDermott (ORCID 0000-0001-8281-9551), Katherine Taylor, Sophie D. S. Sharp, David Lydon-Staley, Julia A. Leonard, Allyson P. Mackey
Source: Developmental Science. 2024 27(5).
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 10
Publication Date: 2024
Sponsoring Agency: National Science Foundation (NSF), Graduate Research Fellowship Program (GRFP)
Document Type: Journal Articles
Reports - Research
Descriptors: Social Influences, Toddlers, Children, Predictor Variables, Mental Health, Child Development, Behavior, Psychological Characteristics, Parent Child Relationship, Positive Reinforcement, Stress Variables, Sleep, Dental Health, Hygiene
DOI: 10.1111/desc.13531
ISSN: 1363-755X
1467-7687
Abstract: Children vary in how sensitive they are to experiences, with consequences for their developmental outcomes. In the current study, we investigated how behavioral sensitivity at age 3 years predicts mental health in middle childhood. Using a novel repeated measures design, we calculated child sensitivity to multiple psychological and social influences: parent praise, parent stress, child mood, and child sleep. We conceptualized sensitivity as the strength and direction of the relationship between psychosocial influences and child behavior, operationalized as toothbrushing time, at age 3 years. When children were 5-7 years old (n = 60), parents reported on children's internalizing and externalizing problems. Children who were more sensitive to their parents' praise at age 3 had fewer internalizing (r = -0.37, p = 0.016, p[subscript FDR] = 0.042) and externalizing (r = -0.35, p = 0.021, p[subscript FDR] = 0.042) problems in middle childhood. Higher average parent praise also marginally predicted fewer externalizing problems (r = -0.33, p = 0.006, p[subscript FDR] = 0.057). Child sensitivity to mood predicted fewer internalizing (r = -0.32, p = 0.013, p[subscript FDR] = 0.042) and externalizing (r = -0.38, p = 0.003, p[subscript FDR] = 0.026) problems. By capturing variability in how children respond to daily fluctuations in their environment, we can contribute to the early prediction of mental health problems and improve access to early intervention services for children and families who need them most.
Abstractor: As Provided
Notes: http://osf.io/9z43b
Entry Date: 2024
Accession Number: EJ1436342
Database: ERIC
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Abstract:Children vary in how sensitive they are to experiences, with consequences for their developmental outcomes. In the current study, we investigated how behavioral sensitivity at age 3 years predicts mental health in middle childhood. Using a novel repeated measures design, we calculated child sensitivity to multiple psychological and social influences: parent praise, parent stress, child mood, and child sleep. We conceptualized sensitivity as the strength and direction of the relationship between psychosocial influences and child behavior, operationalized as toothbrushing time, at age 3 years. When children were 5-7 years old (n = 60), parents reported on children's internalizing and externalizing problems. Children who were more sensitive to their parents' praise at age 3 had fewer internalizing (r = -0.37, p = 0.016, p[subscript FDR] = 0.042) and externalizing (r = -0.35, p = 0.021, p[subscript FDR] = 0.042) problems in middle childhood. Higher average parent praise also marginally predicted fewer externalizing problems (r = -0.33, p = 0.006, p[subscript FDR] = 0.057). Child sensitivity to mood predicted fewer internalizing (r = -0.32, p = 0.013, p[subscript FDR] = 0.042) and externalizing (r = -0.38, p = 0.003, p[subscript FDR] = 0.026) problems. By capturing variability in how children respond to daily fluctuations in their environment, we can contribute to the early prediction of mental health problems and improve access to early intervention services for children and families who need them most.
ISSN:1363-755X
1467-7687
DOI:10.1111/desc.13531