My family member's health and my mental health: A longitudinal matched cohort study

The biobehavioral family model posits that an individual's biobehavioral reactivity is influenced by their family's health. This study examined how one's mental health responds to a serious injury or illness to his or her close relative or family member using longitudinal cohort data of Australian adults sourced from the Household, Income and Labour Dynamics in Australia (HILDA) survey. We employed a propensity score matching-difference in differences (PSM-DiD) identification approach to resolve selection bias (both observable and unobservable). We found that those whose close relative or family member suffered any serious injury or illness (exposed group) had significantly lower mental health scores and had higher odds of being time stressed compared to the unexposed group. The mental health effects were more pronounced among females and those with low social capital, while males were more time stressed. Further analyses revealed that while the mental health effects set in after two years post-onset of the injury or illness, time stress starts contemporaneously and persists through to the sixth-year post-injury or illness. The implications of these findings are two-fold: 1) the burden of an illness goes beyond the affected person, hence the need to consider potential spillover effects, including health losses to close family members, when evaluating the impact of illness. 2) Social support packages designed to improve a person's health recovery post-injury or illness should account for the potential unintended health losses to close relatives, as ignoring these spillover impacts could lead to sub-optimal outcomes for families and society.

Authors

Institutions

Publication Details

Journal
Social Science & Medicine
Published
2026-01-07
DOI
https://doi.org/10.1016/j.socscimed.2026.118959
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

My family member's health and my mental health: A longitudinal matched cohort study

Clifford Afoakwah, Steven McPhail, David Brain, Isaac Koomson et al.
Social Science & Medicine
Health disparities and outcomes
article

My family member's health and my mental health: A longitudinal matched cohort study

Clifford Afoakwah, Steven McPhail, David Brain, Isaac Koomson, John Paul Kuwornu
article en

Abstract

The biobehavioral family model posits that an individual's biobehavioral reactivity is influenced by their family's health. This study examined how one's mental health responds to a serious injury or illness to his or her close relative or family member using longitudinal cohort data of Australian adults sourced from the Household, Income and Labour Dynamics in Australia (HILDA) survey. We employed a propensity score matching-difference in differences (PSM-DiD) identification approach to resolve selection bias (both observable and unobservable). We found that those whose close relative or family member suffered any serious injury or illness (exposed group) had significantly lower mental health scores and had higher odds of being time stressed compared to the unexposed group. The mental health effects were more pronounced among females and those with low social capital, while males were more time stressed. Further analyses revealed that while the mental health effects set in after two years post-onset of the injury or illness, time stress starts contemporaneously and persists through to the sixth-year post-injury or illness. The implications of these findings are two-fold: 1) the burden of an illness goes beyond the affected person, hence the need to consider potential spillover effects, including health losses to close family members, when evaluating the impact of illness. 2) Social support packages designed to improve a person's health recovery post-injury or illness should account for the potential unintended health losses to close relatives, as ignoring these spillover impacts could lead to sub-optimal outcomes for families and society.

Social Science & MedicineVol. 392
Queensland Health (AU), Queensland University of Technology (AU), The University of Queensland (AU)
No poverty
Openalex Percentile: Top 96%
Health disparities and outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.