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Comparison for Risk Estimate of Aspiration between the Revised Dysphagia Assessment Tool and Videofluoroscopy in Post-Stroke Patients
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Kyung Hee Moon, Hyun Sook Sohn, Eun Seok Lee, Eun Kyung Paek, Eun Ju Kang, Seung Hee Lee, Na Ri Han, Meen Hye Lee, Deog Young Kim, Chang Gi Park, Ji-Soo Yoo
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J Korean Acad Nurs 2010;40(3):359-366. Published online June 30, 2010
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DOI: https://doi.org/10.4040/jkan.2010.40.3.359
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Abstract
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Purpose
The purpose of this study was to determine the significant factors for risk estimate of aspiration and to evaluate the efficiency of the dysphagia assessment tool.
Methods
A consecutive series of 210 stroke patients with aspiration symptoms such as cough and dysphagia who had soft or regular diet without tube feeding were examined. The dysphagia assessment tool for aspiration was compared with videofluoroscopy using Classification and Regression Tree (CART) analysis.
Results
In CART analysis, of 34 factors, the significant factors for estimating risk of aspiration were cough during swallowing, oral stasis, facial symmetry, salivary drooling, and cough after swallowing. The risk estimate error of the revised dysphagia assessment tool was 25.2%, equal to that of videofluoroscopy.
Conclusion
The results indicate that the dysphagia assessment tool developed and examined in this study was potentially useful in the clinical field and the primary risk estimating factor was cough during swallowing. Oral stasis, facial symmetry, salivary drooling, cough after swallowing were other significant factors, and based on these results, the dysphagia assessment tool for aspiration was revised and complemented.
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Citations
Citations to this article as recorded by 
- Screening for aspiration risk associated with dysphagia in acute stroke
Elizabeth Boaden, Jane Burnell, Lucy Hives, Paola Dey, Andrew Clegg, Mary W Lyons, C Elizabeth Lightbody, Margaret A Hurley, Hazel Roddam, Elizabeth McInnes, Anne Alexandrov, Caroline L Watkins Cochrane Database of Systematic Reviews.2021;[Epub] CrossRef - Development and Utilization of Assessment and Intervention Checklist for Post-stroke Dysphagia
Eun Ha Lee, Ja Yun Choi Korean Journal of Adult Nursing.2013; 25(2): 113. CrossRef
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Impact of Life Style Characteristics on Prevalence Risk of Metabolic Syndrome
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Ji-Soo Yoo, Jeong In Jeong, Chang Gi Park, Se Won Kang, Jeong-Ah Ahn
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J Korean Acad Nurs 2009;39(4):594-601. Published online August 31, 2009
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DOI: https://doi.org/10.4040/jkan.2009.39.4.594
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Abstract
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Purpose
The goal of this study was to evaluate the impact of life style characteristics on the prevalence risk of metabolic syndrome (MS).
Methods
A total of 581 adults were recruited from a cardiovascular outpatient clinic. A newly developed comprehensive life style evaluation tool for MS patients was used, and patient data related to the MS diagnosis were reviewed from the hospital records.
Results
The overall prevalence of MS was 53.2%, and the mean of MS score was 2.6 for patients at a cardiovascular outpatient clinic (78% of the patients had hypertension). Dietary habits among the life style characteristics had significant influence on the prevalence risk of MS and MS scores. And also interestingly, the classification and regression tree (CART) model suggested that the high prevalence risk groups for MS were older adults (61.5≤age<79.4), and adults between 48.5 and 61.5 yr of age with bad dietary habits.
Conclusion
This study indicates that nurses should focus on dietary habits of patients (especially patients classified as high prevalence risk for MS) for improvement and prevention of MS prevalence risk.
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Citations
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Minseok Shin, Jeayoung Lee Communications for Statistical Applications and Methods.2023; 30(1): 21. CrossRef - Building a Nomogram for Metabolic Syndrome Using Logistic Regression with a Complex Sample—A Study with 39,991,680 Cases
Min-Seok Shin, Jea-Young Lee Healthcare.2022; 10(2): 372. CrossRef - Association between Clustering of Lifestyle and Chronic Disease Using Healthcare Big Data
Eul Hee Roh, Sang Chan Park Journal of Health Informatics and Statistics.2020; 45(2): 113. CrossRef - The Effect of Stress on Prevalence Risk of Metabolic Syndrome among Korean Adults
Mee Young Im STRESS.2019; 27(4): 441. CrossRef - Field Application and Evaluation of Health Status Assessment Tool based on Dietary Patterns for Middle-Aged Women
Hye-Jin Lee, Kyung-Hea Lee Korean Journal of Community Nutrition.2018; 23(4): 277. CrossRef - Moderating effect of Lifestyle and Type D personality on the Relationship between Metabolic Syndrome and Severity of Coronary Artery Disease
In-Kyoung Noh, Myoung Soo Kim Korean Journal of Adult Nursing.2018; 30(3): 290. CrossRef - Metabolic Syndrome Status of Chinese Workers and Their Physical Profiles, Lifestyle Scores, and Nutrient Intakes
Chao Wang, Hokyung Ryu Korean Journal of Community Nutrition.2017; 22(1): 63. CrossRef - Introduction and effectiveness of The Seoul Metabolic Syndrome Management
MiSuk Park, YunSuk Park, SunYoung Kim, Sujin Park, HyeMin Seol, Sunok Woo, Sookyoung Cho, Do-sun Lim Public Health Affairs.2017; 1(1): 25. CrossRef - Development healthcare PC and multimedia software for improvement of health status and exercise habits
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So Hui Kang, Seon Young Hwang Korean Journal of Adult Nursing.2016; 28(2): 180. CrossRef - Vitamin D deficiency and Metabolic Syndrome among Korean Adolescents: Based on Korea National Health and Nutrition Examination Survey V (KNHANES)
Ha Na Yoo, Hyeon Suk Kim Journal of the Korean Society of School Health.2016; 29(1): 22. CrossRef - Factors affecting metabolic syndrome by lifestyle
Nam-Kyun Ki, Hae-Kag Lee, Jae-Hwan Cho, Seon-Chil Kim, Nak-Sang Kim Journal of Physical Therapy Science.2016; 28(1): 38. CrossRef - A Study on Risk Factors of Metabolic Syndrome and Health Behaviors in a Region - 2014 community health survey -
Ok-hee Ahn, Seong-hui Choi, Seo-Hyeon Kim, Si-Ok Ryu, Young-Mi Choi Journal of the Korea Academia-Industrial cooperation Society.2016; 17(12): 218. CrossRef - Factors Influencing Metabolic Syndrome among Mental Health Facility Patients with Schizophrenia
Sun-Hye Lee, Sunhee Cho Journal of Korean Academy of Psychiatric and Mental Health Nursing.2016; 25(1): 1. CrossRef - The Relationship between Metabolic Syndrome Risk Factors and Health Promotion Behavior in General Hospital Nurses
Hyun-Hee Park, Kwang-Ok Lee The Journal of the Korea Contents Association.2015; 15(6): 314. CrossRef - Metabolic Syndrome Prevalence and Lifestyle by Age and Metabolic Syndrome Status in Women Religious
Yang-Hee Kim, Hee-Seung Kim Journal of Korean Biological Nursing Science.2015; 17(1): 11. CrossRef - Development and Evaluation of a Mobile Application for Personal Lifestyle Check-Up and Improvement
Sekyoung Youm, Seung-Hun Park Telemedicine and e-Health.2014; 20(11): 1057. CrossRef - Modeling of Metabolic Syndrome Using Bayesian Network
Mi-Hyun Jin, Hyun-Ji Kim, Jea-Young Lee Korean Journal of Applied Statistics.2014; 27(5): 705. CrossRef - Development and Application of a Web-Based Nutritional Management Program to Improve Dietary Behaviors for the Prevention of Metabolic Syndrome
YOON CHOI, MIN JUNE LEE, HEE CHEOL KANG, MEE SOOK LEE, SUN YOON CIN: Computers, Informatics, Nursing.2014; 32(5): 232. CrossRef - Comparison of the Metabolic Syndrome Risk Factors, Physical Activity, and Diet Habits between the Fifties and Sixties in Postmenopausal Women
Hee-Seung Kim, Hye-Ryoung Kim Journal of Korean Biological Nursing Science.2013; 15(3): 133. CrossRef - Associations between the Practice of Health Behaviors and Awareness of Metabolic Syndrome among Adults (19-64 years) in the Gwangju-Jeonnam Area: 2010 Community Health Survey
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Mi-Hyun Jin, Jea-Young Lee Journal of the Korean Data and Information Science Society.2013; 24(4): 867. CrossRef - The Relationship Between Resting Heart Rate and Risk Factors of Metabolic Syndrome in Korean Adults
Choae Lee, Junga Lee, Justin Y. Jeon The Korean Journal of Obesity.2013; 22(4): 222. CrossRef - Prevalence and risk factors of metabolic syndrome in the Korean population – Korean National Health Insurance Corporation Survey 2008
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Eunok Park, Su Jung Choi, Hyo Young Lee Journal of agricultural medicine and community health.2013; 38(1): 1. CrossRef - Relation of Health Promotion Behaviors and Metabolic Syndrome in Daytime Workers
Dae-Sik Ko, Bu-Yeon Park, Gyeong-Hyu Seok The Journal of the Korea institute of electronic communication sciences.2013; 8(12): 1941. CrossRef - The Effects of Lifestyle Factors on Metabolic Syndrome among Korean Adults
Mee Young Im, Young-Ran Lee, Suk Jung Han, Chung-Min Cho Journal of Korean Academy of Community Health Nursing.2012; 23(1): 13. CrossRef - A Study on Health Behaviors by a Risk Level of Metabolic Syndrome among Petty Merchants in Traditional Markets
Hee-Gerl Kim, Hye-Kyung Nam, Yun-Jeong Yi Korean Journal of Occupational Health Nursing.2011; 20(3): 328. CrossRef - Comparison of Cardiovascular Health Status and Health Behaviors in Korean Women based on Household Income
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Development of a Stress Scale for Korean Nursing Students
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Ji-Soo Yoo, Soo Jung Chang, Eun Kyoung Choi, Jee Won Park
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J Korean Acad Nurs 2008;38(3):410-419. Published online June 30, 2008
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DOI: https://doi.org/10.4040/jkan.2008.38.3.410
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Abstract
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Purpose
The purpose of this study was to develop a stress measurement scale for Korean nursing students.
Methods
Sixty preliminary items were selected by classifying 229 basic items extracted via literature review and Q-sorting method. In order to verify the reliability and validity of the preliminary instrument, data were collected from 617 nursing students in 2 colleges of nursing in Korea.
Results
As a result of the item analysis, 58 items were selected. They consisted of 2 types of stress which were college-based stress (38 items) and clinical-based stress (20 items). Ten factors in college-based stress and four factors in clinical-based stress were extracted by factor analysis, and each had a total variance of 63.01%, and 64.93%. Cronbach's Alpha of those 58 items were .937 in college-based stress and .922 in clinical-based stress, which was high.
Conclusion
This paper is meaningful in a way that it has developed a tool capable of measuring stress for nursing students, which reflects the characteristics of our country. It is recommended for further study to re-verify the relevance and stability of this measurement.
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Foozieh Rafati, Hamid Sharif Nia, Zohreh Khoshnood, Kelly-Ann Allen BMC Psychiatry.2021;[Epub] CrossRef - A Cross-Sectional Study: What Contributes to Nursing Students’ Clinical Reasoning Competence?
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Ji-Hye Kim, Hae Ok Jeon Journal of Korean Academy of Psychiatric and Mental Health Nursing.2016; 25(2): 123. CrossRef - Effects of Personality and Coping Behavior on Clinical Practice Stress among One College Nursing Students
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