Socio-demographic factors and mental health trajectories in Australian children and primary carers: Implications for policy and intervention using latent class analysis
Article
Article Title | Socio-demographic factors and mental health trajectories in Australian children and primary carers: Implications for policy and intervention using latent class analysis |
---|---|
ERA Journal ID | 200159 |
Article Category | Article |
Authors | Afroz, Nahida, Kabir, Enamul and Alam, Khorshed |
Journal Title | Applied Psychology: Health and Well-Being |
Journal Citation | 16 (4), pp. 2147-2168 |
Number of Pages | 22 |
Year | 2024 |
Publisher | John Wiley & Sons |
Place of Publication | United Kingdom |
ISSN | 1758-0846 |
1758-0854 | |
Digital Object Identifier (DOI) | https://doi.org/10.1111/aphw.12584 |
Web Address (URL) | https://iaap-journals.onlinelibrary.wiley.com/doi/10.1111/aphw.12584 |
Abstract | Children's mental health status (MHS) is frequently influenced by their primary carers (PCs), underscoring the significance of monitoring disparities longitudinally. This research investigated the association between socio-demographic clusters and mental health trajectories among children and their PCs over time. Data from waves 6-9c2 of the Longitudinal Study of Australian Children (LSAC) were analyzed using Latent Class Analysis (LCA) to identify four socio-demographic classes among children aged 10–11 years at wave 6. Multinomial logistic regression and predictive marginal analysis explored associations between classes and mental health outcomes. PCs in Class 4 (disadvantaged and separated families with indigenous children) exhibited higher odds of borderline and abnormal MHS compared to Class 1 (prosperous and stable working families) across all waves. However, while MHS of PCs' impacted children consistently, the association with socio-demographic classes was significant only in wave 6. Class 4 children had elevated risks of mental illness compared to Class 1, while Class 3, characterized by educated working mothers, had lower risks. Reducing mental health risks entails addressing socio-economic disparities, supporting stable family structures, and offering tailored interventions like counseling and co-parenting support. Longitudinal monitoring and culturally sensitive approaches are crucial for promoting mental well-being across diverse groups. |
Keywords | Children and primary carer ; strengths and difficulties questionnaire score; latent class analysis; socio-demographic factors; longitudinal Study of Australian Children; Kessler depression scale summed score |
Article Publishing Charge (APC) Amount Paid | 0.0 |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 380204. Panel data analysis |
420601. Community child health | |
420606. Social determinants of health | |
Byline Affiliations | School of Mathematics, Physics and Computing |
Comilla University, Bangladesh | |
School of Business |
https://research.usq.edu.au/item/z8w5v/socio-demographic-factors-and-mental-health-trajectories-in-australian-children-and-primary-carers-implications-for-policy-and-intervention-using-latent-class-analysis
Download files
Published Version
Applied Psych Health Well - 2024 - Afroz - Socio‐demographic factors and mental health trajectories in Australian.pdf | ||
License: CC BY 4.0 | ||
File access level: Anyone |
39
total views17
total downloads0
views this month2
downloads this month