Improving our understanding of the longitudinal relationship between health-related quality of life and multimorbidity: The role of personality traits

It is well known that multimorbidity negatively impacts health-related quality of life (HRQoL). However, how psychosocial factors moderate this relationship remains unclear. The present study investigated the moderating effects of personality traits on the relationship between multimorbidity and HRQoL. Data were extracted from three waves (i.e., Waves 13, 17, and 21) of the Household, Income, and Labor Dynamics in Australia (HILDA) survey and a representative cohort of the adult (20+ years) population was followed. The outcomes were three dimensions of SF-36: mental health, physical functioning, and general health. The predictor was the degree of multimorbidity, which was measured by counting the number of self-reported health conditions. The moderator was personality traits measured by the Five-Factor Model (extraversion, emotional stability, agreeableness, openness to experience, and conscientiousness). Mixed-effects models were used to explore the relationship between multimorbidity and HRQoL. Overall, the study cohort comprised 13,285 adults in 2013 who were followed up to 2021, for a total of N = 32,950 observations. There were slightly more (53.9%) females, and the mean (SD) age was 50.3 (16.8) years. Personality traits significantly moderated the relationship between multimorbidity and HRQoL. For instance, extraversion and emotional stability significantly moderated the relationship between multimorbidity and mental health. The moderation effect sizes were larger than established minimal clinically important difference (MCID) thresholds. For example, the impact of 3 health conditions on mental health was moderated from 66 (extraversion score of 4) to 77 (extraversion score of 7), a difference of almost twice the MCID threshold of 6 established for mental health. The results showed that personality traits moderated the relationship between multimorbidity and HRQoL to the extent of potentially influencing clinical decisions. Understanding the influences of personality traits on HRQoL in the context of varying degrees of multimorbidity could enhance interventions for improving quality of life.

Authors

Institutions

Publication Details

Journal
Social Science & Medicine
Published
2025-02-06
DOI
https://doi.org/10.1016/j.socscimed.2025.117820
Citations
1
Primary Topic
Chronic Disease Management Strategies
Type
article
Field-Weighted Citation Impact
1.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improving our understanding of the longitudinal relationship between health-related quality of life and multimorbidity: The role of personality traits

Clifford Afoakwah, Steven McPhail, Zephanie Tyack, David Brain et al.
1 citations
Social Science & Medicine
Chronic Disease Management Strategies
1.35
article

Improving our understanding of the longitudinal relationship between health-related quality of life and multimorbidity: The role of personality traits

Clifford Afoakwah, Steven McPhail, Zephanie Tyack, David Brain, Sundresan Naicker, Isaac Koomson, Qing Xia, John Paul Kuwornu
article en
1 citations

Abstract

It is well known that multimorbidity negatively impacts health-related quality of life (HRQoL). However, how psychosocial factors moderate this relationship remains unclear. The present study investigated the moderating effects of personality traits on the relationship between multimorbidity and HRQoL. Data were extracted from three waves (i.e., Waves 13, 17, and 21) of the Household, Income, and Labor Dynamics in Australia (HILDA) survey and a representative cohort of the adult (20+ years) population was followed. The outcomes were three dimensions of SF-36: mental health, physical functioning, and general health. The predictor was the degree of multimorbidity, which was measured by counting the number of self-reported health conditions. The moderator was personality traits measured by the Five-Factor Model (extraversion, emotional stability, agreeableness, openness to experience, and conscientiousness). Mixed-effects models were used to explore the relationship between multimorbidity and HRQoL. Overall, the study cohort comprised 13,285 adults in 2013 who were followed up to 2021, for a total of N = 32,950 observations. There were slightly more (53.9%) females, and the mean (SD) age was 50.3 (16.8) years. Personality traits significantly moderated the relationship between multimorbidity and HRQoL. For instance, extraversion and emotional stability significantly moderated the relationship between multimorbidity and mental health. The moderation effect sizes were larger than established minimal clinically important difference (MCID) thresholds. For example, the impact of 3 health conditions on mental health was moderated from 66 (extraversion score of 4) to 77 (extraversion score of 7), a difference of almost twice the MCID threshold of 6 established for mental health. The results showed that personality traits moderated the relationship between multimorbidity and HRQoL to the extent of potentially influencing clinical decisions. Understanding the influences of personality traits on HRQoL in the context of varying degrees of multimorbidity could enhance interventions for improving quality of life.

Social Science & MedicineVol. 368
Queensland University of Technology (AU), The University of Queensland (AU), Metro South Health (AU)
Openalex Percentile: Top 23%
Chronic Disease Management Strategies
1.35
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.