Soo Kyung Choi; In Sook Kim

doi:10.4040/jkan.2015.45.1.25

Articles

Page Path: HOME > J Korean Acad Nurs > Volume 45(1); 2015 > Article

Original Article
Effects of a Cardiocerebrovascular Disease Prevention Education Program for Postmenopausal Middle-aged Women: Soo Kyung Choi, In Sook Kim; Journal of Korean Academy of Nursing 2015;45(1):25-34.
DOI: https://doi.org/10.4040/jkan.2015.45.1.25
Published online: February 27, 2015

¹Department of Nursing, Christian College of Nursing, Gwangju, Korea.

²Department of Nursing, Chosun University, Gwangju, Korea.

Address reprint requests to: Kim, In Sook. Department of Nursing, Chosun University, 375 Seosuk-dong, Dong-gu, Gwangju 501-759, Korea. Tel: +82-62-230-6321, Fax: +82-62-230-6329, isakim@chosun.ac.kr

• Received: August 25, 2014 • Revised: September 15, 2014 • Accepted: November 24, 2014

This is an Open Access article distributed under the terms of the Creative Commons Attribution NoDerivs License. (http://creativecommons.org/licenses/by-nd/4.0/) If the original work is properly cited and retained without any modification or reproduction, it can be used and re-distributed in any format and medium.

14 Views
0 Download
4 Scopus

prev next

Full Article

Download PDF

Abstract
NOTES
REFERENCES

Abstract

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.
Keywords: Cardiocerebrovascular disease; Education; Knowledge; Self-efficacy; Health behavior

This manuscript is a revision of the first author's doctoral dissertation from Chosun University.

REFERENCES

1. Park HK. National cardiovascular disease preventive management strategies. In: Paper presented at: Korean cardiology-related societies joint scientific session & The pulse of Asia 2013 Seoul. 2013 April 19-20; Hilton Hotel. Seoul, The Korean Society of Cardiology.
2. Statistics Korea. 2012 annual report on the causes of death statistics [Internet]. Daejeon, Author. 2013;cited 2013 May 15. Available from: http://kostat.go.kr/portal/korea/kor_nw/2/1/index.board?bmode=read&aSeq=308559
3. World Health Organization. United Nations high-level meeting on noncommunicable disease prevention and control: NCD summit to shape the international agenda. New York, NY, Author. 2011;cited 2013 May 15. Available from: http://www.who.int/nmh/events/un_ncd_summit2011/en/
4. Stirrat C, Mann S. Perceptions of cardiovascular risk factors among cardiology outpatients. Heart Lung Circ. 2008;17:Suppl 2. S22–S23. Article
5. World Health Organization. Preventing chronic diseases: A vital investment. WHO Global Report. Geneva, CH: Author; 2005.
6. Health Insurance Review & Assessment Service. Disclosure of cardiocerebrovascular disease evaluation results [Internet]. Seoul, Author. 2012;cited 2013 May 15. Available from: http://www.hira.or.kr/dummy.do?pgmid=HIRAA020041000000&cmsurl=/cms/notice/02/1214308_13390.html
7. American Heart Association. Warning signs of heart attack, stroke & cardiac arrest [Internet]. Dallas, TX, Author. 2013;cited 2013 May 15. Available from: http://www.heart.org/HEARTORG/Conditions/911-Warnings-Signs-of-a-Heart-Attack_UCM_305346_SubHomePage.jsp
8. Kirchberger I, Heier M, Kuch B, Wende R, Meisinger C. Sex differences in patient-reported symptoms associated with myocardial infarction (from the population-based MONICA/KORA Myocardial Infarction Registry). Am J Cardiol. 2011;107(11):1585–1589. Article PubMed
9. Women's cardiovascular health. An official position statement of the Association of Women's Health, Obstetric & Neonatal Nursing. J Obstet Gynecol Neonatal Nurs. 2011;40(5):662–664. PubMed
10. Lloyd-Jones D, Adams RJ, Brown TM, Carnethon M, Dai S, De Simone G, et al. Heart disease and stroke statistics-2010 update: A report from the American Heart Association. Circulation. 2010;121(7):e46–e215. PubMed
11. Lisabeth LD, Brown DL, Hughes R, Majersik JJ, Morgenstern LB. Acute stroke symptoms: Comparing women and men. Stroke. 2009;40(6):2031–2036. Article PubMed
12. Worrall-Carter L, Ski C, Scruth E, Campbell M, Page K. Systematic review of cardiovascular disease in women: Assessing the risk. Nurs Health Sci. 2011;13(4):529–535. Article PubMed
13. Korea Centers for Disease Control and Prevention. Surveillance and quality management of out-of-hospital cardiac arrest [Internet]. Cheongju, Author. 2011;cited 2013 May 13. Available from: http://www.cdc.go.kr/CDC/info/CdcKrInfo0201.jsp?menuIds=HOME001-MNU1155-MNU1083-MNU1375-MNU0025&cid=1583
14. Innes KE, Selfe TK, Taylor AG. Menopause, the metabolic syndrome, and mind-body therapies. Menopause. 2008;15(5):1005–1013. Article PubMed PMC
15. Korea Centers for Disease Control and Prevention. In-depth analyses of the third national Health and nutrition examination survey (KNHANES III): Health examination [Internet]. Cheongju, Author. 2007;cited 2013 May 13. Available from: http://www.cdc.go.kr/CDC/info/CdcKrInfo0201.jsp?menuIds=HOME001-MNU1155-MNU1083-MNU1375-MNU0025&cid=1219
16. Gu MO, Yu JS, Kweon IK, Kim HW, Lee EO. A review of research on self efficacy theory applied to health related behavior. J Nurs Acad Soc. 1994;24(2):278–302.Article PDF
17. Bandura A. Self-efficacy mechanism in human agency. Am Psychol. 1982;37(2):122–147.Article
18. Kim EY, Hwang SY. Development and evaluation of a small group-based cardiocerebrovascular disease prevention education program for male bus drivers. J Korean Acad Nurs. 2012;42(3):322–332. Article PubMed
19. Park HJ. The effects of lifestyle modification education program on the workers' knowledge, attitude and behavior to prevent cerebrocardiovascular diseases in middle and small-sized industries [master's thesis]. Seoul, Dongguk University. 2008.
20. Lee HJ. Development and evaluation of community education program for cardiocerebrovascular high-risk patients [dissertation]. Daegu, Kyungpook National University. 2010.
21. Park MK, Kim JH. Effects of a comprehensive lifestyle improvement program for middle-aged women with cardio-cerebrovascular disease-related risk factors. J Korean Acad Community Health Nurs. 2013;24(2):111–122. Article
22. Chonnam National University Hospital Regional Cardiocerebrovascular Center. Education manual for patient and family [Internet]. Gwangju, Author. 2010;cited 2013 July 20. Available from: http://www.gjccvc.co.kr/sub.htm?PID=0605
23. Bandura A. Regulation of cognitive processes through perceived selfefficacy. Dev Psychol. 1989;25(5):729–735. Article
24. American Heart Association. Coronary artery disease: Coronary heart disease [Internet]. Dallas, TX, Author. 2013;cited 2013 May 13. Available from: http://www.heart.org/HEARTORG/Conditions/More/My-HeartandStrokeNews/Coronary-Artery-Disease---Coronary-Heart-Disease_UCM_436416_Article.jsp
25. Sherer M, Maddux JE, Mercandante B, Prentice-dunn S, Jacobs B, Rogers RW. The self-efficacy Scale: Construction and validation. Psychol Rep. 1982;51(2):663–671.Article PDF
26. Becker DM, Levine DM. Risk perception, knowledge, and lifestyles in siblings of people with premature coronary disease. Am J Prev Med. 1987;3(1):45–50.Article PubMed
27. Shin KR, Shin SJ, Kim JS, Kim JY. The effects of fall prevention program on knowledge, self-efficacy, and preventive activity related to fall, and depression of low-income elderly women. J Korean Acad Nurs. 2005;35(1):104–112.Article PDF
28. Song KJ. The effects of self-efficacy promoting cardiac rehabilitation program on self-efficacy, health behavior, and quality of life [dissertation]. Seoul, Seoul National University. 2001.
29. Song AR. Development of and educational program for the management of menopause and it's effect. J Korean Acad Nurs. 1998;28(2):280–290.Article PDF
30. Lowdermilk DL, Perry SE. Yoo EK Kim MH Kim SA Park SA Shin HS Ahn S . Maternity & women's health care. Seoul: Hyunmoon; 2005.
31. Shin HS, Lee J, Lee KH, Song YA. Health behavioral patterns associated with psychologic distress among middle-aged Korean women. Asian Nurs Res. 2007;1(1):61–67. Article

Table 1

Learning Objectives and Lesson Contents of the CVD Prevention Education Program

VP=Verbal persuasion; VE=Vicarious experience; PA=Performance accomplishment; EA=Emotional arousal.

Table 2

Homogeneity Test of Characteristics and Dependent Variables (N =53)

^*Fisher's exact test; Exp.=Experimental group; Cont.=Control group; CVD=Cardiocerebrovascular disease; hx=History.

Table 3

Comparison of Dependent Variables between Two Groups after Treatment (N =53)

Exp.=Experimental group (n=26); Cont.=Control group (n=27); CVD=Cardiocerebrovascular disease.

Table 4

Analysis of Covariance (ANCOVA) for Knowledge of CVD Risk Factor (N =53)

Exp.=Experimental group; Cont.=Control group; CVD=Cardiocerebrovascular disease.

Figure & Data

REFERENCES

Citations

Citations to this article as recorded by

Cite

CITE: export Copy Download Format; Close

Download Citation

Download a citation file in RIS format that can be imported by all major citation management software, including EndNote, ProCite, RefWorks, and Reference Manager.

Format:

RIS — For EndNote, ProCite, RefWorks, and most other reference management software
BibTeX — For JabRef, BibDesk, and other BibTeX-specific software

Include:

Citation for the content below
Citation and abstract for the content below

Effects of a Cardiocerebrovascular Disease Prevention Education Program for Postmenopausal Middle-aged Women

J Korean Acad Nurs. 2015;45(1):25-34. Published online February 27, 2015

DOI: https://doi.org/10.4040/jkan.2015.45.1.25

XML Download

We recommend

Effects of a Cardiocerebrovascular Disease Prevention Education Program for Postmenopausal Middle-aged Women

Table 1

Learning Objectives and Lesson Contents of the CVD Prevention Education Program

VP=Verbal persuasion; VE=Vicarious experience; PA=Performance accomplishment; EA=Emotional arousal.

Table 2

Homogeneity Test of Characteristics and Dependent Variables (N =53)

^*Fisher's exact test; Exp.=Experimental group; Cont.=Control group; CVD=Cardiocerebrovascular disease; hx=History.

Table 3

Comparison of Dependent Variables between Two Groups after Treatment (N =53)

Exp.=Experimental group (n=26); Cont.=Control group (n=27); CVD=Cardiocerebrovascular disease.

Table 4

Analysis of Covariance (ANCOVA) for Knowledge of CVD Risk Factor (N =53)

Exp.=Experimental group; Cont.=Control group; CVD=Cardiocerebrovascular disease.

Table 1 Learning Objectives and Lesson Contents of the CVD Prevention Education Program

VP=Verbal persuasion; VE=Vicarious experience; PA=Performance accomplishment; EA=Emotional arousal.

Table 2 Homogeneity Test of Characteristics and Dependent Variables (N =53)

^*Fisher's exact test; Exp.=Experimental group; Cont.=Control group; CVD=Cardiocerebrovascular disease; hx=History.

Table 3 Comparison of Dependent Variables between Two Groups after Treatment (N =53)

Exp.=Experimental group (n=26); Cont.=Control group (n=27); CVD=Cardiocerebrovascular disease.

Table 4 Analysis of Covariance (ANCOVA) for Knowledge of CVD Risk Factor (N =53)

Exp.=Experimental group; Cont.=Control group; CVD=Cardiocerebrovascular disease.