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November 19, 2025Australian Journal of Social Issues

Early Family Influences on Mental Health Competence and Difficulties for Children From Priority Populations

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Authors

MSMeg StonnillSGSarah GraySGShuaijun Guo

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Overview

Longitudinal study finds parenting factors impact mental health competence in children, suggesting targeted interventions for disadvantaged groups.

Key Points

  • This research aims to understand mental health competence and difficulties among children from priority populations.
  • Used data from the Longitudinal Study of Australian Children
  • Analyzed family protective factors at ages 2-3 years
  • Applied unadjusted and adjusted logistic regression models to assess mental health outcomes
  • Compared findings among children from different populations including those experiencing socioeconomic disadvantage.
  • Children experiencing socioeconomic disadvantage showed 16% competence and 32% difficulties
  • Parenting self-efficacy was linked to better competence outcomes across all groups
  • Higher parent psychological distress was associated with increased difficulties in children

Cite This Study

Stonnill et al. (2025) studied this question.

synapsesocial.com/papers/6924f091c0ce034ddc3509b3https://doi.org/10.1002/ajs4.70083
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Social inequalities in child mental health: Evidence from vulnerable families2025
  2. 2Growing Up Rural: Rurality as a Predictor of Child Mental Health in an Australian Cohort2026
  3. 3Developmental and Socioeconomic Gradients in Perceived Mental Health and Mood Disorder Risk Among Children and Adolescents: A Population-Based Parent-Report Study2026
  4. 4Factors associated with the nonperception of the need for care among parents of children who exhibit elevated scores on the strengths and difficulties questionnaire2026
  5. 5Socio‐demographic factors and mental health trajectories in Australian children and primary carers: Implications for policy and intervention using latent class analysis2024