Community integration and its predictors in people with stroke: a multicenter longitudinal study.
Jiang-Li Zhao, Lian-Dong Ma, Xiang Xiao and 4 others
PMID 38659375WHAT IT FOUND
Stroke survivors' community integration improved over a year, driven by gains in daily living and balance.
Baseline independence and balance were the strongest predictors of long-term integration. Therapists should prioritise self-care and balance training, not just motor recovery.
Key findings
01Community integration scores significantly improved from baseline to one-year follow-up, particularly in home integration and productivity.
02Baseline Modified Barthel Index (self-care ADL) and Berg Balance Scale scores were the strongest predictors of community integration at one year.
03The influence of motor function (FMA scores) on community integration decreased over time, becoming less predictive at one year than at baseline.
STILL TO COME
How it was doneWhat they foundWhat it means for PTsWhat it means for OTsWhat it means for SLPs
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What it does not show
Small sample size (n=65) due to recruitment difficulties during the pandemic. High variability in time since stroke onset (range 1-60 months), which may influence recovery trajectories. Potential collinearity between variables (e.g., balance and ADLs) makes it difficult to isolate the specific contribution of each factor. Social support and socioeconomic status were not measured, despite being known influencers of community reintegration. Follow-up was conducted via telephone, which may introduce recall bias or assessment limitations compared to in-person evaluation.
Declared interests
The study was supported by non-U.S. government funding. No specific conflicts of interest involving commercial sponsors were declared in the text.
The easy way to misread this
Do not assume that improving motor function (FMA scores) alone will lead to better community integration in the long term. The study found that while motor function matters early on, its predictive value drops significantly by one year, whereas balance and self-care independence remain strong predictors.