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Stroke Prevention Knowledge and Prestroke Health Behaviors Among Hypertensive Stroke Patients in Mainland China.
CONCLUSIONS:: The participants showed a relatively low level of stroke prevention knowledge and a moderate level of engagement in healthy behaviors. Pearson correlation coefficient between these 2 variables was 0.423 (P < .001). The results of multiple regression analysis showed that stroke prevention knowledge was positively influenced by education level; health behaviors were positively influenced by both gender and stroke prevention knowledge. Findings suggest that male hypertensive patients and those with a lower education level need targeted stroke education. Because knowledge was unrelated to behavior with respect...
Source: The Journal of Cardiovascular Nursing - February 5, 2013 Category: Nursing Authors: Wan LH, Zhao J, Zhang XP, Deng SF, Li L, He SZ, Ruan HF Tags: J Cardiovasc Nurs Source Type: research

Age-Group and Gender Differences in Stroke Knowledge in an Israeli Jewish Adult Population.
CONCLUSION: Participants younger than 45 years showed the lowest levels of stroke knowledge. The highest stroke knowledge was found in the 45 to 64 years age group. Stroke knowledge among different age groups was similar in both genders. Educational campaigns aimed at increasing knowledge of stroke among the general population and targeting the younger population are recommended. PMID: 28520658 [PubMed - as supplied by publisher]
Source: The Journal of Cardiovascular Nursing - May 17, 2017 Category: Nursing Authors: Melnikov S, Itzhaki M, Koton S Tags: J Cardiovasc Nurs Source Type: research

Predictive Model of Self-management in Patients With Stroke Based on the Information-Motivation-Behavioral Skills Model
CONCLUSIONS: The information-motivation-behavioral skills model is potentially a predictive model for self-management for patients who had a stroke. Considering the level of stroke knowledge and attitude, social support, and self-efficacy together may help to understand the required level of self-management. In addition, using this model for the development of self-management interventions for patients who had a stroke could be a strategy for improving self-management in patients with stroke.PMID:35030109 | DOI:10.1097/JCN.0000000000000883
Source: The Journal of Cardiovascular Nursing - January 14, 2022 Category: Nursing Authors: Sung Reul Kim Sunho Kim Hye Young Kim Kyung-Hee Cho Source Type: research

Differences Between New Immigrants From the Former Soviet Union and Veteran Residents in Knowledge, Perception, and Risk Factors of Stroke.
CONCLUSIONS: Veteran residents showed lower levels of knowledge about stroke. Educational campaigns aimed at increasing knowledge of stroke among Israel's general population in Israel, as well as culturally targeting specific subgroups, are recommended. PMID: 26132280 [PubMed - as supplied by publisher]
Source: The Journal of Cardiovascular Nursing - July 1, 2015 Category: Nursing Authors: Melnikov S, Itzhaki M, Koton S Tags: J Cardiovasc Nurs Source Type: research

Predictive Model for Quality of Life in Patients 1 Year After First Stroke
CONCLUSIONS: When predicting quality of life in a patient 1 year after a stroke, it is important to consider variables such as type D personality, age, National Institutes of Health Stroke Scale score, social support, the modified Rankin Scale score, and anxiety at the time of the first stroke. Interventions to improve the quality of life of patients with stroke should consider these factors.PMID:33811204 | DOI:10.1097/JCN.0000000000000814
Source: The Journal of Cardiovascular Nursing - April 3, 2021 Category: Nursing Authors: Sung Reul Kim Sung-Hee Yoo Hye Young Kim Gye-Gyoung Kim Source Type: research

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