Purpose: This study was conducted to examine effects of a cardiocerebrovascular disease (CVD) prevention education program on knowledge, self-efficacy and health behavior among postmenopausal middle-aged women.
Methods: A non-equivalent control group pretest-posttest design was used. Participants were 53 postmenopausal middle-aged women who registered in two community culture centers in G metropolitan city. Experimental group (n=26) received a CVD prevention education program 8 times over 8 weeks. Knowledge, self-efficacy and health behavior of the participants were examined with self-report structured questionaries. Data were collected between October 15 and December 11, 2013, and were analyzed using chi-square test, Fisher's exact test, independent t-test, and analysis of covariance with SPSS/PC version 21.0.
Results: After the intervention the experimental group showed significant increases in the knowledge of CVD symptoms (p<.001) and CVD risk factors (p<.001), level of self-efficacy (p=.028) and health behavior (p<.001) compared to the control group. However, no significant difference was found between groups for knowledge of CVD prevention (p<.133).
Conclusion: Results suggest that a CVD prevention education program can be an effective strategy to improve knowledge on CVD symptoms and risk factors, self-efficacy and health behavior for postmenopausal middle-aged women.
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http://dx.doi.org/10.4040/jkan.2015.45.1.25 | DOI Listing |
J Nurs Adm
December 2024
Author Affiliations: Assistant Professor (Dr Prothero) and Nurse (Sorhus and Huefner), College of Nursing, Brigham Young University, Provo, Utah.
Objective: This study explored nurse leaders' perspectives and experiences in supporting nurses following a serious medical error.
Background: Appropriate support is crucial for nurses following an error. Authentic leadership provides an environment of psychological safety and establishes a patient safety culture.
Proc Natl Acad Sci U S A
January 2025
Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, Zhejiang Provincial Key Laboratory of Agricultural Resources and Environment, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China.
While iron (Fe) is essential for life and plays important roles for almost all growth related processes, it can trigger cell death in both animals and plants. However, the underlying mechanisms for Fe-induced cell death in plants remain largely unknown. S-nitrosoglutathione reductase (GSNOR) has previously been reported to regulate nitric oxide homeostasis to prevent Fe-induced cell death within root meristems.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Institute of Medical Teaching and Medical Education Research, University Hospital Würzburg, Würzburg, Germany.
Background: Objective structured clinical examinations (OSCEs) are a widely recognized and accepted method to assess clinical competencies but are often resource-intensive.
Objective: This study aimed to evaluate the feasibility and effectiveness of a virtual reality (VR)-based station (VRS) compared with a traditional physical station (PHS) in an already established curricular OSCE.
Methods: Fifth-year medical students participated in an OSCE consisting of 10 stations.
Background: Adherence to self-care behaviors can prevent or delay adverse outcomes associated with cardiovascular disease (CVD). Sex and socioculturally constructed gender might impact individuals' ability to adhere to healthy lifestyles.
Objective: The aim of this study was to systematically identify, evaluate, and synthesize the literature on the influence of sex and gender on adherence to self-care behaviors for CVD risk management in the global context.
PLoS Comput Biol
January 2025
Department of Health Statistics, School of Public Health, Shanxi Medical University, Taiyuan, China.
Transfer learning aims to integrate useful information from multi-source datasets to improve the learning performance of target data. This can be effectively applied in genomics when we learn the gene associations in a target tissue, and data from other tissues can be integrated. However, heavy-tail distribution and outliers are common in genomics data, which poses challenges to the effectiveness of current transfer learning approaches.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!