Relationships between Self-Efficacy and Post-Stroke Activity Limitations, Locomotor Ability, Physical Activity, and Community Reintegration in Sub-Saharan Africa: A Cross-Sectional Study

The relationship between levels of physical activity and participation in everyday life in stroke survivors: A systematic review and meta-analysis

BACKGROUND

Stroke survivors demonstrate decreased physical activity (PA) and take time to return to participation in everyday life, but the relationship between the two variables is unknown.

OBJECTIVE

To investigate the correlation and trajectory over time between levels of PA and participation in everyday life in stroke survivors.

METHODS

PubMed, Web of Science, Scopus, SPORTDiscus, Rehabilitation&Sport Medicine Source, and PEDro databases were searched from inception to January 2024. Cross-sectional and prospective studies evaluating both levels of PA and participation in stroke survivors were included. Two reviewers independently conducted the study selection, data extraction, and quality assessment. Meta-analyses of pooled correlation coefficients were calculated when at least two studies reported a correlation coefficient between the same PA and participation outcomes.

RESULTS

Of 4962 studies identified, 49 were included in the systematic review. Studies were rated high (55%%) or fair (45%) quality. A wide range of monitoring methodologies for assessing PA and participation were found in the 23 prospective studies. Seven studies were included in the meta-analyses, showing a positive moderate correlation between PA time and participation in activities of daily living (n = 148; r = 0.52; P < 0.01; I2 = 81%) in participants <6 months post-stroke, and between PA time and the participation in all areas (n = 126; r = 0.44; P < 0.01; I2 = 0%) in participants ≥6 months post-stroke. Overall, while PA showed significant improvements over time, participation only showed a tendency.

CONCLUSIONS

Despite the heterogeneity, consistent positive associations were found between PA time and participation levels in some areas. Establishing consensus is crucial to reduce heterogeneity and facilitate data pooling.

Should Patients Be Confident in Their Efficacy in Improving Their Functional Abilities After a Stroke?

Background Patients' self-confidence in their abilities needs to be improved to achieve functional abilities after a stroke. Self-efficacy is a prerequisite for self-management after a stroke. This study aimed to analyze the relationship between self-efficacy and the functional abilities of post-stroke patients. Methodology This was an analytical cross-sectional study conducted over two months. A total of 145 respondents were recruited using the convenience sampling method. Respondents were post-stroke patients who had undergone the post-stroke phase during the first three to six months since the acute stroke. Data collection was performed through questionnaire interviews. Data were analyzed using descriptive analysis and Spearman correlation. Results There was a significant positive relationship between self-efficacy and functional independence (p < 0.05). Conclusions Self-efficacy influences motivation to perform activities of daily living, which can increase the achievement of functional abilities.

Validating the caregiver self-efficacy in contribution to self-care scale Thai version for stroke: A psychometric evaluation

AIM

To test the validity and reliability of the Caregiver Self-Efficacy in Contribution to Self-Care Scale Thai Version (CC-Self Efficacy Scale (Thai)) for Stroke.

DESIGN

A cross-sectional study was undertaken from September to December 2022.

METHODS

Four hundred thirty-four caregivers of people with stroke were selected from the registry of stroke patients in primary care units or hospitals following inclusion criteria. The research assistants collected information when the caregiver took a patient for a doctor's appointment or visited the patient's and caregiver's home.

RESULTS

The 434 caregivers had a mean age of 48 years, female 77.67%, 51.97% child or grandchild of patients, and 72.85% living with the patient. Ten items of the CC-Self Efficacy Scale (Thai) were normally distributed and appropriate for exploratory factor analysis (EFA). EFA suggested three-factor model. The confirmatory factor analysis (CFA) of the three-factor model was an unfit model, with the root mean square error of approximation (RMSEA) = 0.09. We regrouped items based on content to create six-factor model. CFA supported the six-factor model of CC-Self Efficacy Scale (Thai) questionnaire with the reliability judged by McDonald's omega being 0.87. The 434 sample size was enough for EFA and CFA. The CC-Self Efficacy Scale (Thai) with the six-factor model is appropriate for evaluating the caregiver confidence of people with stroke.