Authors : Chioma Veronica Opara; Yewande Iyimide Adeyeye

Volume/Issue : Volume 11 - 2026, Issue 10 - October

Google Scholar : https://tinyurl.com/nrwwta5m

DOI : https://doi.org/10.38124/ijisrt/26Oct1415

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Parental emotion regulation plays a critical role in shaping children's psychological adjustment, emotional resilience, and mental health outcomes. However, variations in cultural orientation, immigration experiences, family stress, and parenting practices complicate the identification of these relationships across immigrant and non-immigrant populations in the United States. This study proposes a novel Culturally Adaptive Parental Emotion Regulation and Mental Health Prediction Algorithm (CAPER-MH) to investigate the relationships between parental emotion regulation, cultural adaptation, family socioeconomic characteristics, and children's mental health. The proposed framework integrates multilevel statistical modelling, machine learning, and explainable artificial intelligence to estimate psychological risk while accounting for cultural heterogeneity and family-level dependencies. The study is designed to analyse parental emotion regulation difficulties, cognitive reappraisal, expressive suppression, acculturative stress, parent-child relationships, and children's internalizing and externalizing symptoms using validated psychometric instruments.

Keywords : Parental Emotion Regulation; Children's Mental Health; Cultural Contexts; Immigrant Families; Non-Immigrant Families.

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