Cross-Cultural Examination of Links between Parent–Adolescent Communication and Adolescent Psychological Problems in 12 Cultural Groups - PMC

Internalizing and externalizing problems increase during adolescence. However, these problems may be mitigated by adequate parenting, including effective parent–adolescent communication. The ways in which parent-driven (i.e., parent behavior control ...

Overview

Added

March 8, 2026

Audience

parent

Grade range

Grade 6–Grade 8

Page kind

Article

Introduction

Cross-Cultural Study on Parent–Adolescent Communication

  • Study Objective: Investigated the reciprocal links between parent-driven communication (solicitation and behavioral control) and adolescent-driven communication (disclosure and secrecy) in relation to adolescent internalizing and externalizing psychological problems.
  • Sample Size: 1,087 adolescents (mean age 13.19 years; 50% female).
  • Geographic Scope: 12 cultural groups across nine countries: China, Colombia, Italy, Jordan, Kenya, Philippines, Thailand, Sweden, and the United States.
  • Key Findings:
    • Adolescent Secrecy: Consistently linked to externalizing problems across all 12 cultures; linked to internalizing problems in specific cultural contexts.
    • Reciprocity: Adolescent disclosure is a significant predictor of parent-driven communication efforts across all cultures.
    • Agency: Adolescent-driven communication (specifically secrecy) is a primary driver of psychological outcomes, suggesting that adolescents play an active, influential role in the parent–adolescent relationship.
  • Definitions:
    • Parent-driven: Parent solicitation (asking questions) and behavioral control (setting rules/limits).
    • Adolescent-driven: Disclosure (sharing information) and secrecy (withholding information).
  • Core Takeaway: Adolescent-driven communication strategies are critical predictors of psychological well-being and act as facilitators for parent–adolescent interaction, often carrying more weight than traditional unidirectional parenting models.

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