ArticleNursing open2022
Quality of life and physical activities of daily living among stroke survivors; cross-sectional study.
Article in Nursing open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed, 20 citations in OpenAlex.
- Heterogeneity in Health-Related Quality of Life of Patients with Aplastic Anemia: A Latent Profile Analysis.Patient preference and adherence · 2025Article
- Associations between objective and self-perceived physical activity and participation in everyday activities in mild stroke survivors.PloS one · 2025Article
- Measuring Quality of Life in the Speakers with Dysarthria: Reliability and Validity of the Persian Version of the Qol-Dys.Medical journal of the Islamic Republic of Iran · 2025Article
- An machine learning model to predict quality of life subtypes of disabled stroke survivors.Annals of clinical and translational neurology · 2024Article
- Family resilience and social support as mediators of caregiver burden and capacity in stroke caregivers: a cross-sectional study.Frontiers in psychology · 2024Article
- Quality of life and physical activities of daily living among stroke survivors; cross-sectional study.Nursing open · 2022Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo examine the relationship between quality of life (QoL), level of physical activities of daily living (PADL) and associated factors among stroke survivors during the acute stage as there is little evidence in Sri Lanka.
designWe conducted a descriptive cross-sectional study among conveniently recruited stroke survivors in Sri Lanka (n = 134).
methodsQoL was assessed by the Short Form-36 (SF-36), while the PADL was assessed by the Barthel Index (BI). The relationship between SF36 and BI was assessed by Pearson correlation, while Multiple Linear Regression (MLR) was performed to determine the factors associated with QoL and PADL.
resultsThe majority of the SF36 domains were below the average level of 50, while BI indicated that most of them belonged to either the severely or totally dependent category. Aphasia, disability, dysarthria, type of stroke, dyslipidaemia, smoking, alcohol consumption, geographical area and income were the associated factors of QoL, while disability of the face and limbs, dysarthria and smoking were the associated factors of PADL (p < .05).
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