Long-term elevated levels of loneliness are linked to lower health-related quality of life in middle-aged Australian women

Loneliness has long been associated with poor health outcomes. However, few studies have considered the dynamic nature of loneliness over time. This study aimed to identify longitudinal patterns of loneliness over 18 years and their associations with physical and mental health-related quality of life. Using data from the Australian Longitudinal Study of Women's Health, we conducted a Latent Class Analysis to identify long-term loneliness patterns. We used Multinomial logistic regression to examine baseline predictors of loneliness trajectories and linear regression to examine the association between loneliness trajectories and health-related quality of life. Baseline predictors, such as smoking, depression, anxiety, stress and low social support, were associated with higher odds of 'Increasing', 'Stable-medium' and 'Stable-high loneliness. Compared to 'Stable-low loneliness, 'Increasing' [B = -3.73 (95%CI = -5.42, -2.04)], 'Medium' [B = -3.12 (95%CI = -5.08, -1.15)] and 'High' loneliness [B = -5.67 (95%CI = -6.84, -4.49)] were associated with lower mental health-related quality of life. 'Increasing' loneliness was also associated with lower physical health-related quality of life [B = -1.06 (95%CI = -2.11, -0.02)]. Among health-related quality of life sub-scales, emotional role, social functioning and physical role were the most strongly associated with loneliness. Findings highlight the importance of addressing loneliness among women to promote their health and well-being.

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Publication Details

Journal
Communications Psychology
Published
2025-05-26
DOI
https://doi.org/10.1038/s44271-025-00264-z
Citations
4
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
8.67

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article

Long-term elevated levels of loneliness are linked to lower health-related quality of life in middle-aged Australian women

Katherine B. Owen, Philip James Clare, Neta HaGani, Dafna Merom et al.
4 citations
Communications Psychology
Health disparities and outcomes
8.67
article

Long-term elevated levels of loneliness are linked to lower health-related quality of life in middle-aged Australian women

Katherine B. Owen, Philip James Clare, Neta HaGani, Dafna Merom, Ding Ding, Ben J. Smith
article en
4 citations

Abstract

Loneliness has long been associated with poor health outcomes. However, few studies have considered the dynamic nature of loneliness over time. This study aimed to identify longitudinal patterns of loneliness over 18 years and their associations with physical and mental health-related quality of life. Using data from the Australian Longitudinal Study of Women's Health, we conducted a Latent Class Analysis to identify long-term loneliness patterns. We used Multinomial logistic regression to examine baseline predictors of loneliness trajectories and linear regression to examine the association between loneliness trajectories and health-related quality of life. Baseline predictors, such as smoking, depression, anxiety, stress and low social support, were associated with higher odds of 'Increasing', 'Stable-medium' and 'Stable-high loneliness. Compared to 'Stable-low loneliness, 'Increasing' [B = -3.73 (95%CI = -5.42, -2.04)], 'Medium' [B = -3.12 (95%CI = -5.08, -1.15)] and 'High' loneliness [B = -5.67 (95%CI = -6.84, -4.49)] were associated with lower mental health-related quality of life. 'Increasing' loneliness was also associated with lower physical health-related quality of life [B = -1.06 (95%CI = -2.11, -0.02)]. Among health-related quality of life sub-scales, emotional role, social functioning and physical role were the most strongly associated with loneliness. Findings highlight the importance of addressing loneliness among women to promote their health and well-being.

Communications PsychologyVol. 3(1)
The University of Sydney (AU), UNSW Sydney (AU), Western Sydney University (AU)
Australian Government, Department of Health and Aged Care, Australian Government, Medical Research Council, National Health and Medical Research Council
No poverty
Openalex Percentile: Top 2%
Health disparities and outcomes
8.67
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