Evidence map›Paper›PMID 41821019›Full record

ArticleHealth and quality of life outcomes2026

Trajectories of health-related quality of life after cancer diagnosis in a cohort of Australian women: a longitudinal study.

Md Mijanur Rahman, Julia Steinberg, Michael David, Xue Qin Yu, Julie Byles, Claudia Rutherford, Emily Banks, Haoyu Zhang, Karen Canfell, Mei Ling Yap

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Article in Health and quality of life outcomes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Md Mijanur RahmanCollaboration for Cancer Outcomes Research and Evaluation, Ingham Institute for Applied Medical Research, South-Western Sydney Clinical School, UNSW Sydney, Liverpool, NSW-2170, Australia. md_mijanur.rahman@unsw.edu.au.
Julia SteinbergThe Daffodil Centre, A Joint Venture with Cancer Council NSW, The University of Sydney, Sydney, Australia.
Michael DavidThe Daffodil Centre, A Joint Venture with Cancer Council NSW, The University of Sydney, Sydney, Australia.
Xue Qin YuThe Daffodil Centre, A Joint Venture with Cancer Council NSW, The University of Sydney, Sydney, Australia.
Julie BylesCentre for Women's Health Research, The University of Newcastle, Newcastle, Australia.
Claudia RutherfordThe Daffodil Centre, A Joint Venture with Cancer Council NSW, The University of Sydney, Sydney, Australia.
Emily BanksNational Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia.
Haoyu ZhangThe Daffodil Centre, A Joint Venture with Cancer Council NSW, The University of Sydney, Sydney, Australia.
Karen Canfell *Sydney School of Public Health, The University of Sydney, Sydney, Australia.
Mei Ling Yap *Collaboration for Cancer Outcomes Research and Evaluation, Ingham Institute for Applied Medical Research, South-Western Sydney Clinical School, UNSW Sydney, Liverpool, NSW-2170, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith increasing cancer survival rates, optimising health-related quality of life (HRQL) has become a major priority. However, longitudinal assessments of HRQL outcomes in people with cancer are limited. This study aimed to examine changes in HRQL outcomes following a cancer diagnosis and to identify the long-term trajectories of HRQL outcomes and associated factors.

methodsThis study included 1414 women diagnosed with primary invasive cancer from 1996 to 2019 and 2828 women without cancer from a large cohort (born in 1946-51) of the Australian Longitudinal Study on Women’s Health, linked to the Australian Cancer Database. Generalised linear models were used to estimate changes in HRQL outcomes, adjusting for sociodemographic factors and other health conditions. Group-based multitrajectory modelling was applied to identify HRQL trajectories over time.

resultsIn the short-term (≤ 3 years), we found a significant decline in the adjusted mean difference (AMD) across all HRQL domains from pre-cancer to post-cancer surveys, with the largest decrease in general health (AMD − 10.3, 95% CI: -11.43, -9.18). The corresponding changes within the same period among women without cancer were not significant at p < 0.05, except for physical functioning. In the long-term (≤ 15 years), four HRQL trajectory groups were identified: very low HRQL trajectory (n = 184, 13%), moderate HRQL trajectory (n = 355, 25%), moderate-high HRQL trajectory (n = 532, 38%), and high HRQL trajectory (n = 343, 24%). In the control sample, a greater proportion of women belonged to the high HRQL trajectory group (29% versus 24%). Cancer survivors in the very low or moderate HRQL trajectory groups had significantly lower HRQL domain scores than the corresponding trajectory groups in the control group (p < 0.05). Compared with the high HRQL trajectory group, the very low HRQL trajectory group experienced greater difficulties in managing their available income (60% versus 22%, p < 0.01) and had ≥ 2 comorbidities (42% versus 9%, p < 0.01).

conclusionsOur findings suggest the importance of measuring HRQL soon after diagnosis as a baseline measure and considering both baseline and ongoing HRQL when guiding supportive care for women cancer survivors. Additionally, targeted initiatives that prevent and manage comorbidities and financial hardship in those with low HRQL at baseline are critical for equitable care.

Indexed as

Health StatusNeoplasmsQuality of LifeAdultAgedAustraliaFemaleHumansLongitudinal StudiesMiddle AgedWomen's HealthAdjusted mean differencesHealth-related quality of lifePre- and post-cancerTrajectory groupWomen cancer survivors

Identifiers

PMID41821019
PMCPMC13094074

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.