ArticleFrontiers in neurology2024
Trunk control and acute-phase multifactorial predictors of community mobility after stroke: a longitudinal observational study.
Article in Frontiers in neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Predicting the Influence of Early Trunk Control on Individual Functional Outcomes in Stroke Survivors at Three Months: A Longitudinal Observational Study.Healthcare (Basel, Switzerland) · 2026Article
- Predictive Sub-items and Cutoff Scores of the Functional Assessment for Control of Trunk (FACT) for Gait Independence in Patients with Acute Stroke.Physical therapy research · 2026Article
- Longitudinal Changes in Factors Associated with Walking Independence at Hospital Discharge in Patients with Stroke: A Retrospective Study.Journal of clinical medicine · 2024Article
- Differences in Trunk Acceleration-Derived Gait Indexes in Stroke Subjects with and without Stroke-Induced Immunosuppression.Sensors (Basel, Switzerland) · 2024Article
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Authors and funding
7 authors.
Funding
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Abstract
Introduction: Stroke is a detrimental condition associated with long-term functional impairments that restrict community reintegration, which is an indicator of successful post-stroke functional recovery and rehabilitation. Additionally, trunk control is an understudied factor that may contribute to community mobility and participation after stroke. This study aimed to identify predictors of community mobility among stroke survivors in the acute phase, with a primary focus on trunk control, in addition to exploring the mediating and moderating role of predictive factors. Methods: A longitudinal observational study included 61 participants with acute stroke. Trunk control test (TCT) during sitting, stroke severity, quality of life, fear of falls, depression, and age was assessed during the acute phase as potential predictors. The community mobility outcome measure was assessed 3 months after baseline using the Reintegration to Normal Living Index (RNLI). Statistical analyses included correlation, linear regression, mediation, and moderation analyses. Results: Trunk control test was the strongest predictor of RNLI among all factors (β = 0.72; 95%CI = 0.004-0.007; Discussion: The findings highlight sitting trunk control impairment during the acute stage as a crucial predictor of reduced community mobility after stroke, where age over 60 years can moderate this relationship. The study emphasizes that addressing trunk control during early stroke rehabilitation may enhance community reintegration prospects.
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