Determinants of Living Well With Aphasia in the First Year Poststroke: A Prospective Cohort Study
Abstract
Objective To determine factors that contribute to living well with aphasia in the first 12 months poststroke.Design Prospective longitudinal cohort study.Setting Hospitalized care, ambulatory care, and general community.Participants A referred sample of people (N=58) with a first incidence of aphasia after stroke was assessed at 3, 6, 9, and 12 months postonset. Participants were recruited through speech-language pathologists in 2 capital cities in Australia. Presence of aphasia was determined through the Western Aphasia Battery-Revised by an experienced speech-language pathologist.Interventions Not applicable.Main outcome measures The main outcomes were the 5 domains of the Assessment for Living with Aphasia at 3, 6, 9, and 12 months poststroke. The independent variables included demographics, physical functioning, social network, mood, aphasia severity, and a self-rating of successfully living with aphasia at the same time points. Mixed effects modeling was used to determine which factors contributed to the trajectory of each of the 5 domains of participation, impairment, environment, personal factors, and life with aphasia.Results Higher household income, larger social network size, being a woman, and having milder aphasia were positively associated with the participation domain. Graduate or postgraduate educational levels, low mood, and poor physical functioning were negatively associated with the participation domain. Factors positively associated with other domains included higher income, self-ratings of successfully living with aphasia, and aphasia severity. Low mood was consistently negatively associated with all of the domains.Conclusions Psychosocial determinants were the most significant predictors of living well with aphasia in the first 12 months postonset. Aphasia rehabilitation needs to attend more to these factors to optimize outcomes.
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Worrall found that factors determining how well people live with aphasia include psychosocial factors such as social support (relation status, social network size and satisfaction) and mood (depression and anxiety).
“Worall found that factors that determine how well people live with their aphasia include psychosocial factors, such as social support (relation status, social network size and satisfaction) and mood (depression and anxiety) [43].”
From Aphasia Recovery: When, How and Who to Treat? (2018) · cites this paper as [43]
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Baker, C., Worrall, L., Rose, M., Hudson, K., Ryan, B., & O’Byrne, L. (2018) · Disability and Rehabilitation · doi:10.1080/09638288.2017.1315181 · Cited by 186 · see citing works
Self-citationAphasia Recovery: When, How and Who to Treat?
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Do social determinants influence post-stroke aphasia outcomes? A scoping review
O'Halloran, R., Renton, J., Harvey, S., McSween, M.-P., & Wallace, S. J. (2024) · Disability and Rehabilitation · doi:10.1080/09638288.2023.2193760 · Cited by 25 · see citing works
- Authors
- Worrall, L. E., Hudson, K., Khan, A., Ryan, B., & Simmons-Mackie, N.
- Affiliations
- The University of Queensland (AU)
- Corresponding author
- Worrall, Linda E.
- Venue
- Archives of Physical Medicine and Rehabilitation
- Publisher
- Elsevier BV
- Published
- 2017-02
- Volume
- 98
- Issue
- 2
- Pages
- 235-240
- ISSN
- 0003-9993 (ISSN-L)
- OpenAlex
- W2496616785
- Cited by
- 60
- References
- 10
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 7 · 2023: 12 · 2022: 5 · 2021: 6 · 2020: 8 · 2019: 7 · 2018: 4 · 2017: 2
- FWCI
- 4.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Archives of Physical Medicine and Rehabilitation (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- aphasia, stroke, psychosocial factors, social networks, mood, aphasia severity, household income, educational attainment, physical function, participation, aphasia rehabilitation, stroke recovery
- MeSH terms
- Stroke Rehabilitation, Adult, Age Factors, Aged, Aged, 80 and over, Aphasia, Australia, Disability Evaluation, Female, Humans, Male, Middle Aged, Prospective Studies, Quality of Life, Sex Factors, Socioeconomic Factors, Speech-Language Pathology, Outcome Assessment, Health Care, Stroke
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