Journal of Korean Academy of Nursing

Original Articles

The Lifestyle Modification Coaching Program for Secondary Stroke Prevention: Heejeong Kim, Oksoo Kim; J Korean Acad Nurs 2013;43(3):331-340. Published online June 28, 2013; DOI: https://doi.org/10.4040/jkan.2013.43.3.331

Purpose

The purpose of this study was to investigate the effects of the lifestyle modification coaching program on self efficacy, lifestyle and physiologic indexes related to the recurrence of stroke in patients with stroke.

Methods

Sixty-one patients with stroke registered with a stroke center participated in this study. Of the participants, 32 were assigned to the experimental group and 29 to the control group. Self efficacy, alcohol drinking, smoking, physical activity, BMI (body mass index), WHR (waist-hip ratio), blood lipid level, and blood pressure were measured both for the baseline, as well as after intervention. The lifestyle modification coaching program consisted of an 8-week telecoaching session following face-to-face education. The control group received only the face-to-face education.

Results

There were significant differences in physical activities, WHR, blood pressure within and between groups after intervention. The lifestyle modification coaching program had significant influences on blood pressure even after gender, age, and physical activity had been adjusted.

Conclusion

The results of the study indicate that lifestyle modification coaching program is effective for physical activity, abdominal obesity and blood pressure. Therefore it can be used by nurses in hospitals and communities as one of the secondary stroke prevention programs for patients with stroke.

Citations

Citations to this article as recorded by

Effectiveness of behavior change and self-management theoretically-informed telehealth interventions for stroke secondary prevention: An overview of systematic reviews
Paula da Cruz Peniche, Christina Danielli Coelho de Morais Faria, Patricia Hall, Olive Lennon
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Telemedical strategies for improving systolic blood pressure control in secondary prevention of cerebrovascular events-a systematic review and meta-analysis
Aqsa Munir, Hanzala Ahmed Farooqi, Rayyan Nabi, Ummulkiram Hasnain, Marium Khan
Journal of Stroke and Cerebrovascular Diseases.2024; 33(12): 108046. CrossRef
Development and Evaluation of a Mobile Application to Prevent Recurrent Stroke by Enhancing Self-management on Health Outcomes for Stroke Survivors
Young Ju Jeong, Hee Sun Kim, Hyun Goo Kang
CIN: Computers, Informatics, Nursing.2024; 42(1): 53. CrossRef
Influence of Type D Personality on Health Promoting Behaviours and Quality of Life in Stroke Patients: A Cross-Sectional Study in South Korea
Sung Reul Kim, Sunho Kim, Bang-Hoon Cho, Sungwook Yu, Kyung-Hee Cho
Journal of Stroke and Cerebrovascular Diseases.2021; 30(5): 105721. CrossRef
Telerehabilitation services for stroke
Kate E Laver, Zoe Adey-Wakeling, Maria Crotty, Natasha A Lannin, Stacey George, Catherine Sherrington
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Telephone counselling for smoking cessation
William Matkin, José M. Ordóñez-Mena, Jamie Hartmann-Boyce
Cochrane Database of Systematic Reviews.2019;[Epub] CrossRef
Telemedical strategies for the improvement of secondary prevention in patients with cerebrovascular events—A systematic review and meta-analysis
Peter Kraft, Steffi Hillmann, Viktoria Rücker, Peter U Heuschmann
International Journal of Stroke.2017; 12(6): 597. CrossRef
Promoting Optimal Physical Exercise for Life (PROPEL): aerobic exercise and self-management early after stroke to increase daily physical activity—study protocol for a stepped-wedge randomised trial
Avril Mansfield, Dina Brooks, Ada Tang, Denise Taylor, Elizabeth L Inness, Alex Kiss, Laura Middleton, Louis Biasin, Rebecca Fleck, Esmé French, Kathryn LeBlanc, Anthony Aqui, Cynthia Danells
BMJ Open.2017; 7(6): e015843. CrossRef
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Taryn M. Jones, Blake F. Dear, Julia M. Hush, Nickolai Titov, Catherine M. Dean
Physical Therapy.2016; 96(12): 1982. CrossRef
Effects of in-Person, in-Hospital Education for Stroke Patients by an Education-Specialized Nurse
Young-Hoon Lee, Gyung-Jae Oh, Su-Jin Kang, Hye-In Yu, Kwang-Ho Cho, Hak-Seung Lee, Jin-Sung Cheong, Hyun Young Park
Journal of the Korean Neurological Association.2016; 34(4): 333. CrossRef
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Taryn M. Jones, Catherine M. Dean, Blake F. Dear, Julia M. Hush, Nickolai Titov
Disability and Health Journal.2016; 9(1): 54. CrossRef
Timely Interventions can Increase Smoking Cessation Rate in Men with Ischemic Stroke
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The Effects of a Secondary Stroke Prevention Program on the Health Risk Indicators and Self-Care Compliance of Stroke Patients
Ji Yeon Kim, Yeon Kyung Na, Hae Sook Hong
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Risk Factor–tailored Small Group Education for Patients with First-time Acute Coronary Syndrome
Seon Young Hwang, Jin Shil Kim
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Taryn M Jones, Catherine M Dean, Julia M Hush, Blake F Dear, Nickolai Titov
Systematic Reviews.2015;[Epub] CrossRef
Effect of Stroke Prevention Program for The Elderly in The Rural Area
Mal-Soon Kang
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Predictors of Intention to Quit Smoking in Elderly Smokers following a Stroke
Eun Su Do, Young-Sook Seo
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Development and Testing of a Nurse Turnover Intention Scale (NTIS): Eun Ja Yeun, Heejeong Kim; J Korean Acad Nurs 2013;43(2):256-266. Published online April 30, 2013; DOI: https://doi.org/10.4040/jkan.2013.43.2.256

Abstract PDF

Purpose

The purpose of this study was to develop a measurement tool of nurse's turnover intention.

Methods

Data were collected from questionnaires completed by 678 nurses who worked in 3 university hospitals in South Korea and analyzed using the SPSS 18.0 and AMOS 18 programs. Thirty-seven preliminary items were selected from 161 basic items extracted via a literature review and in depth interviews with 6 hospital nurses. Three steps with factor analysis were undertaken to verify the reliability and validity of the preliminary instruments. Finally, confirmative factor analysis was carried out.

Results

As a result of the analysis, 3 factors including 10 items were selected. Cronbach's Alpha for the 10 items was .83, for job satisfaction (4 items), .78, for interpersonal relationships (3 items), .80, and for work performance (3 items), .74, which was stable.

Conclusion

This study is meaningful because through it a scale reflecting Korean culture was developed to measure turnover intention in nurses. Further studies that test the psychometrics of this scale in more diverse samples are warranted.

Citations

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Journal of Nursing Regulation.2025; 15(4): 20. CrossRef
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Hyun Jin Jung, Hyun Kyung Kim, Seok Hee Jeong
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Mira Kwon, Yeoungsuk Song, Majd T. Mrayyan
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Arife Şanlıalp Zeyrek, Özlem Fidan, Nesrin Çunkuş Köktaş
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Verification of Validity of MPM II for Neurological Patients in Intensive Care Units: Heejeong Kim, Kyunghee Kim; J Korean Acad Nurs 2011;41(1):92-100. Published online February 28, 2011; DOI: https://doi.org/10.4040/jkan.2011.41.1.92

Abstract PDF

Purpose

Mortality Provability Model (MPM) II is a model for predicting mortality probability of patients admitted to ICU. This study was done to test the validity of MPM II for critically ill neurological patients and to determine applicability of MPM II in predicting mortality of neurological ICU patients.

Methods

Data were collected from medical records of 187 neurological patients over 18 yr of age who were admitted to the ICU of C University Hospital during the period from January 2008 to May 2009. Collected data were analyzed through χ² test, t-test, Mann-Whiteny test, goodness of fit test, and ROC curve.

Results

As to mortality according to patients' general and clinically related characteristics, mortality was statistically significantly different for ICU stay, hospital stay, APACHE III score, APACHE predicted death rate, GCS, endotracheal intubation, and central venous catheter. Results of Hosmer-Lemeshow goodness-of-fit test were MPM II₀ (χ²=0.02, p=.989), MPM II₂₄ (χ²=0.99 p=.805), MPM II₄₈ (χ²=0.91, p=.822), and MPM II₇₂ (χ²=1.57, p=.457), and results of the discrimination test using the ROC curve were MPM II₀, .726 (p<.001), MPM II₂₄, .764 (p<.001), MPM II₄₈, .762 (p<.001), and MPM II₇₂, .809 (p<.001).

Conclusion

MPM II was found to be a valid mortality prediction model for neurological ICU patients.

Citations

Citations to this article as recorded by

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Yukyung Ko, Bohyun Park, Hanju Lee, Donghwan Kim
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Journal of the Korea Academia-Industrial cooperation Society.2012; 13(11): 5238. CrossRef

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