The dynamic among child emotion dysregulation, parenting

The gap

Evidence profile

Sourced from the future work and future-work section and stated research gap of the source papers, classified as general, spanning 3 journals. Those papers have been cited 1 times in total.

Supporting evidence — 3 representative gaps

• Self- and Other-Reports in Evaluating Emotion Regulation in Autism Spectrum Disorder and the Potential of Physiological Indices (2026) · Journal of Special Education Research · doi

  This review summarized findings from self- and other-report measures of emotion regulation (ER) in Autism Spectrum Disorder (ASD) and examined the potential contributions of physiological indices for evaluating emotional processes. This section highlights key considerations for future research, emphasizes the need to expand physiological investigations, and discusses the potential clinical and educational applications of these measures. First, this review identified discrepancies in findings on suppression strategies in ASD depending on whether self- or other-report methods were used. Each evaluation approach has distinct strengths and limitations that vary according to study design. Researchers must carefully consider which method is most appropriate for a given research question while remaining aware of the inherent constraints of each approach. Ideally, ER in ASD should be assessed using a multimethod strategy that integrates multiple sources of data, including self- and other-reports, behavioral observations, and physiological measures (Mazefsky et al., 2014; Okano et al., 2021). Second, there is a critical need for additional evidence from basic research employing physiological indices. Studies investigating suppression strategies using physiological measures remain scarce, and inconsistencies have been reported not only in self- and other- reports but also across neuroimaging studies. As noted by Sikka et al. (2022), these inconsistencies may arise in part from variations in experimental design or neuroimaging data processing. Nevertheless, certain brain regions, particularly the prefrontal cortex (PFC), have been consistently implicated in ER. Findings from basic research targeting these neural mechanisms may serve as valuable biomarkers for developing clinical assessment tools. Finally, the potential clinical applications of physiological indices merit consideration. As demonstrated by Reisinger et al. (2024), physiological measures can serve as outcome indicators in interventions designed to enhance ER. However, practical constraints often limit the use of large-scale neuroimaging equipment, such as functional magnetic resonance imaging (fMRI), in educational and developmental contexts, including schools, where financial, spatial, and personnel resources are limited. In such settings, more accessible indices, such as heart rate variability (HRV) and skin conductance, may provide practical and cost-effective means of assessment. For example, O’Haire et al. (2015) measured social stress in school environments using skin conductance and reported that children with ASD showed a 43% reduction in responses during free play with peers in the presence of animals compared with toys. Additionally, less intrusive neuroimaging techniques, such as near-infrared spectroscopy (NIRS), can enable multimodal evaluations by combining prefrontal activity with behavioral observations in naturalistic settings. Physiological indices may also facilitate objective evaluation of intervention outcomes and visualization of developmental progress. Because ER is not easily observable in everyday settings and may be partially inaccessible even via report- based assessments, these measures can provide meaningful developmental milestones. Such visualization may empower parents to better understand their child’s progress, inform caregiving strategies, and reinforce parental confidence in supporting their child’s emotional development. While these applications are preliminary, they hold significant promise as reliable, informative clinical tools for both research and practice.

  generalfuture workevidence 5/5
  Keywords: physiological measures indices self clinical neuroimaging report potential applications strategies using developmental settings review emotional
• Comparative Analysis of Heart Rate Variability Across Cognitive Domains in Individuals with Autism and ADHD: A Systematic Review and Meta-Analysis (2026) · Review Journal of Autism and Developmental Disorders · cited 1× · doi

  Future research should aim to refine methodological approaches, explore longitudinal changes, and better control of confounding variables to deepen our understanding of autonomic regulation in ASD and ADHD populations. The study suggests that HRV may be a useful tool for understanding cognitive functioning in individuals with autism and ADHD.

  generalfuture-work sectionevidence 5/5
  Keywords: future research aim refine methodological approaches explore longitudinal
• Brief Report: Child Emotion Dysregulation Mediates the Association Between Parenting Stress and Behavioral Challenges in Autistic Toddlers and Preschoolers (2026) · Journal of Autism and Developmental Disorders · doi

  The dynamic among child emotion dysregulation, parenting stress, and child behavioral outcomes in young autistic children is still unexplored. There is a lack of studies investigating the associations among parenting stress, child emotion dysregulation, and behavioral problems in autistic toddlers and preschoolers.

  generalstated research gapevidence 5/5
  Keywords: dynamic among child emotion dysregulation parenting stress behavioral

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