Family as the first school: How do parenting and family adjustment shape toddler socioemotional development?

This study explores parenting and family adjustment profile effects on toddler socioemotional competence by the underlying mechanisms of effortful control. Participants were Chinese parent caregivers (N = 448) of 448 toddlers aged 15–36 months. They completed measures of parenting and family adjustment, toddler socioemotional competence, and effortful control. Latent profile analysis (LPA) identified three family profiles—Strict-Detached, Constrained-Collaborative, and Harmonious-Aligned. These three profiles of parenting and family adjustment directly affect toddler socioemotional competence through variations in emotional support, discipline strategies, and parent–child interactions. Effortful control mediates this relationship of parenting and family adjustment and toddler socioemotional competence, with toddlers from Strict-Detached families at higher risk for socioemotional problems associated with lower effortful control. The harmoniously aligned family profile is associated with healthier development via higher effortful control. The research adds to the developmental understanding of how parenting and family dynamics affect toddler development by identifying effortful control as a key pathway. Based on these findings, parent caregiver profiles should be part of intervention designs aimed to enhance toddlers’ effortful control for healthy development.

Authors

Publication Details

Journal
Journal of Psychology in Africa
Published
2025-01-01
DOI
https://doi.org/10.32604/jpa.2025.066088
Primary Topic
Early Childhood Education and Development
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Family as the first school: How do parenting and family adjustment shape toddler socioemotional development?

Jiaqi Lu, Fang Wang
Journal of Psychology in Africa
Early Childhood Education and Development
article

Family as the first school: How do parenting and family adjustment shape toddler socioemotional development?

Jiaqi Lu, Fang Wang
article en

Abstract

This study explores parenting and family adjustment profile effects on toddler socioemotional competence by the underlying mechanisms of effortful control. Participants were Chinese parent caregivers (N = 448) of 448 toddlers aged 15–36 months. They completed measures of parenting and family adjustment, toddler socioemotional competence, and effortful control. Latent profile analysis (LPA) identified three family profiles—Strict-Detached, Constrained-Collaborative, and Harmonious-Aligned. These three profiles of parenting and family adjustment directly affect toddler socioemotional competence through variations in emotional support, discipline strategies, and parent–child interactions. Effortful control mediates this relationship of parenting and family adjustment and toddler socioemotional competence, with toddlers from Strict-Detached families at higher risk for socioemotional problems associated with lower effortful control. The harmoniously aligned family profile is associated with healthier development via higher effortful control. The research adds to the developmental understanding of how parenting and family dynamics affect toddler development by identifying effortful control as a key pathway. Based on these findings, parent caregiver profiles should be part of intervention designs aimed to enhance toddlers’ effortful control for healthy development.

Journal of Psychology in AfricaVol. 35(5)
Openalex Percentile: Top 70%
Early Childhood Education and Development
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.