Disability Acceptance Trajectory in Stroke Patients Over Six Months Post-Discharge

Zuo Lian Zhang's dataset models the evolution of disability acceptance over six months post-discharge in 114 patients with hypertensive intracerebral hemorrhage. It contains longitudinal assessments of disability acceptance and self-efficacy at four time points, used to fit latent growth models. The dataset was last updated on 2026-04-30.

Use Cases

• Modeling nonlinear growth trajectories of psychological constructs based on longitudinal measurements.
• Analyzing the time-specific association between self-efficacy and disability acceptance.
• Investigating the effect of time-invariant covariates like age on the rate of change in a psychological outcome.

Strengths

• Longitudinal design with four measurement time points over six months.
• Includes data from 114 patients with hypertensive intracerebral hemorrhage.
• Statistical results, including beta coefficients and p-values, are provided in the description.

Limitations

• Row count and column-level documentation are unknown; field semantics must be inferred after download.
• The dataset is very small at 10.7 KB, indicating limited scope.
• Geographic and institutional context for the patient cohort is unspecified.

Provenance

Source

Zuo Lian Zhang via figshare

Collection Method

Prospective longitudinal study with assessments at discharge, 1, 3, and 6 months post-discharge.

Time Range

Covers a six-month post-discharge period.

Freshness

Last updated 2026-04-30 04:21:16; freshness should be verified.