Impulse

Regular Article Transaction between Impulsivity and Family Conflict among Children

Authors and Affiliations

  • Qingqing Yin, Simone I. Boyd, Jessica L. Hamilton, Shireen L. Rizvi

  • Affiliated Institutions: Department of Psychology, Rutgers University, New Brunswick, NJ, USA; Graduate School of Applied and Professional Psychology, Rutgers University, New Brunswick, NJ, USA

Abstract

  • Key Premise: Difficulty with emotion regulation is a widespread issue that is linked to various psychological disorders.

  • Biosocial Model: This model indicates that children with biological vulnerabilities such as impulsivity combined with environmental risks can lead to emotional dysregulation over time.

  • Study Focus: Investigated the relationship between trait impulsivity and family conflict across a two-year span in children ages 9-12 using data from the Adolescent Brain Cognitive Development study.

  • Sample Size: The study utilized data from 6112 children and their caregivers.

  • Main Findings: Evidence of a cross-lagged transaction between trait impulsivity and family conflict; higher impulsivity leads to increased family conflict and vice versa. No reciprocal relationship noted among children with higher levels of emotion dysregulation.

  • Biosocial Model Validation: Findings partially support the biosocial model of emotion regulation.

Key Terms

  • Biosocial Model: A theoretical framework that integrates biological and social factors influencing development, especially concerning emotional regulation.

  • Emotion Dysregulation: Difficulties in modulating emotional responses to environmental demands.

  • Trait Impulsivity: A stable characteristic reflecting an individual's tendency to act on impulse.

Introduction

  • Importance of Emotion Regulation: Defined as the ability to effectively manage and respond to emotional experiences, crucial for psychological health. Linked to disorders like depression and anxiety (Aldao et al., 2010).

  • Developmental Context: The biosocial model postulates that negative interactions between biological predispositions (e.g., impulsivity) and invalidating environments lead to emotional dysregulation over time.

  • Evolution of the Model: The biosocial model has evolved by integrating a developmental perspective, stressing how biological vulnerabilities interact with environmental risk factors throughout a child's development.

Theoretical Framework

Biosocial Model Features
  • Biological Vulnerabilities: Genetics and brain functioning (e.g., fronto-limbic dysfunction) contribute to temperament.

  • Environmental Responses: Caregivers may respond to impulsive and emotionally sensitive children in ways that foster emotional invalidation.

  • Invalidating Environment: Defined as contexts where caregivers dismiss or punish normal emotional expressions. This can exacerbate emotional vulnerabilities in children.

  • Fit Between Child and Environment: Poor fit between a child's temperament and parenting methods can lead to prolonged invalidation, worsening the child's emotional dysregulation capacity.

  • Long-term Effects: Dysfunctional reactions to emotional situations can develop, resulting in entrenched emotional regulation issues.

Research Gap

  • Need for Transactional Studies: Prior research often segregated biological and environmental factors rather than examining their interaction over time, overlooking the reciprocal nature of influences on emotional development.

  • Adolescent Transition: The late childhood to early adolescence transition is highlighted as a critical period for understanding these dynamics due to neurobiological and social changes.

Study Objectives

  1. Objective 1: To assess whether trait impulsivity and family conflict influence each other across two years (ages 9–10 to 11–12).

  2. Objective 2: To explore whether this transactional process varies among children experiencing different levels of emotion regulation difficulties by age 12-13.

Methodology

Participants
  • Sample Recruitment: Participants were drawn from the ABCD study, which includes a diverse cohort of youth across 19 cities in the U.S., initiated between 2016 and 2018.

  • Participant Demographics: At baseline, mean age was 9.52 (SD = .51), 52.67% boys, 47.15% girls, 45.17% in 4th grade.

  • Race Distribution: 76.19% White, 11.19% Black, others included mixed race (4.47%), Asian (2.36%), Pacific Islander (0.71%), and other (3.93%).

  • Family Income Levels: Various income groups represented, including 6.68% reporting <$15,000 and 11.58% reporting >$200,000.

Measures - Assessments
  1. Family Conflict Scale (FCS):

    • Developed from the Moos Family Environment Scale,

    • Contains self-report items regarding domestic conflict dynamics.

    • Higher scores signify greater conflict.

  2. Trait Impulsivity:

    • Evaluated using a modified version of the UPPS-P Impulsive Behavior Scale,

    • Measures dimensions of impulsivity including negative and positive urgency.

    • Higher scores reflect greater impulsivity levels.

  3. Emotion Dysregulation:

    • Assessed through caregiver-reported Difficulties in Emotion Regulation Scale (DERS-P).

    • Higher scores indicate increased difficulties in emotion regulation.

Analytical Plan
  • Method: Cross-lagged path modeling (CLPM) employed to analyze reciprocal influences of family conflict and impulsivity.

  • Subgroup Analyses: Multiple-group models investigate variations based on emotion dysregulation levels.

  • Statistical Tools: Analyses conducted using R with adjusted alpha levels for statistical significance.

Results

Descriptive Statistics
  • Data on family conflict, impulsivity, and emotion dysregulation showed patterns of interaction over study periods.

Findings from Cross-Lagged Path Models
  • General Findings: All paths between impulsivity and family conflict were significant, indicating bidirectional influences.

  • Comparative Strengths: The influence of impulsivity on family conflict was notably stronger than vice versa, particularly in child-reported models.

Multiple-Group Analysis Outcomes
  • Notable differences in the transactional relationships based on levels of emotion dysregulation were observed:

    • Low and Moderate Emotion Dysregulation: Both family conflict and impulsivity were significantly reciprocally linked.

    • High Emotion Dysregulation: No significant reciprocal path noted.

Discussion

  • Contributions to Literature: The study's longitudinal design adds valid insights into biosocial interactions affecting emotion dysregulation in childhood.

  • Main Findings Relevance: Suggests family conflict and impulsivity are interconnected in influencing child emotional development.

  • Distinct Patterns for High Dysregulation: For children with severe emotion dysregulation, the expected reciprocal relationships were inhibited, indicating potential insight barriers.

  • Model Validation: Findings partially support the biosocial model but highlight nuances based on varying levels of emotional dysregulation.

Limitations

  • Reliance on specific variables, self-reported measures, and potential bias in child reports noted.

  • Further improvement with multiple informants and broader context consideration is suggested.

Conclusions and Future Directions

  • Future research should address the ongoing evaluation of emotion regulation and its timing relative to biological and environmental interactions.

  • Focus could include exploring peer interactions' roles in emotional complexity during adolescence.

References

  • A comprehensive list of references is provided, including foundational studies and recent advancements in understanding the biosocial model, emotion regulation, and impulsivity dynamics.