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Eun Mi Ham 4 Articles
Development of a Quantitative Model on Adolescent Cyberbullying Victims in Korea: A System Dynamics Approach
Mi Jin You, Eun Mi Ham
J Korean Acad Nurs 2019;49(4):398-410.   Published online January 15, 2019
DOI: https://doi.org/10.4040/jkan.2019.49.4.398
AbstractAbstract PDF
Abstract Purpose

This study used a system dynamics methodology to identify correlation and nonlinear feedback structures among factors affecting adolescent cyberbullying victims (CV) in Korea and to construct and verify a simulation model.

Methods

Factors affecting CV were identified by reviewing a theoretical background in existing literature and referencing various statistical data. Related variables were identified through content validity verification by an expert group, after which a causal loop diagram (CLD) was constructed based on the variables. A stock-flow diagram (SFD) using Vensim Professional 7.3 was used to establish a CV model.

Results

Based on the literature review and expert verification, 22 variables associated with CV were identified and the CLD was prepared. Next, a model was developed by converting the CLD to an SFD. The simulation results showed that the variables such as negative emotions, stress levels, high levels of conflict in schools, parental monitoring, and time spent using new media had the strongest effects on CV. The model's validity was verified using equation check, sensitivity analysis for timestep and simulation with 4 CV adolescent.

Conclusion

The system dynamics model constructed in this study can be used to develop intervention strategies in schools that are focused on counseling that can prevent cyberbullying and assist in the victims’ recovery by formulating a feedback structure and capturing the dynamic changes observed in CV. To prevent cyberbullying, it is necessary to develop more effective strategies such as prevention education, counseling and treatment that considers factors pertaining to the individual, family, school, and media.

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The Relationship between the Optimistic Bias about Cancer and Cancer Preventive Behavior of the Korean, Chinese, American, and Japanese Adult Residing in Korea
Sul Hee Lee, Eun Mi Ham
J Korean Acad Nurs 2010;40(1):52-59.   Published online February 28, 2010
DOI: https://doi.org/10.4040/jkan.2010.40.1.52
AbstractAbstract PDF
Purpose

This study was conducted to provide basic data for developing education and health promotion programs for the prevention of cancer by identifying the relation between optimistic bias about cancer and cancer preventive behavior in Korean, Chinese, American, and Japanese residents in Korea.

Methods

Using a questionnaire administered by the researcher, data were collected from a convenience sample of 600, 19 to 64-yr-old male and female Korean, Chinese, American, and Japanese residents in Korea. Data was collected between February 6 and 28, 2009.

Results

Scores for optimistic bias about cancer by nationality were: Koreans, -1.03; Chinese, -0.43; Americans, -0.23; and Japanese, 0.05. The cancer preventive behavior scores were: Koreans, 43.17; Chinese, 71.84; Americans, 71.71; and Japanese, 73.97. Optimistic bias about cancer and cancer preventive behavior showed a significantly positive correlation in all participants: Koreans (r=.223, p=.006); Chinese (r=.178, p=.029); Americans (r=.225, p=.006); and Japanese (r=.402, p<.001).

Conclusion

The greater the optimistic bias about cancer is, the lower the cancer preventive behavior. The findings suggest that nursing interventions are needed to reduce optimistic bias about cancer and to form a positive attitude towards cancer prevention because an optimistic bias about cancer adversely affects cancer preventive behavior.

Citations

Citations to this article as recorded by  
  • Influencing optimistic bias: Moderating roles of perceived severity and proximity
    Hyuksoo Kim, YoungAh Lee
    Journal of Consumer Behaviour.2024; 23(4): 1832.     CrossRef
  • Well-informed or misinformed? News-Finds-Me perception in shaping sexual and reproductive health knowledge and behavioral intentions among Chinese women
    Lianshan Zhang, Piper Liping Liu, Chervin Lam, Zhongwei Huang
    Social Science & Medicine.2024; 359: 117271.     CrossRef
  • Facile Synthesis, Optimization of Zinc Oxide & Magnesium Oxide Nanoparticles Using Solanum Torvum and Their Activity Against MM2 and HeLa Cancer Cells
    M. Kalaimathi, S. Sisira, K. S. Hithisha, J. Syama Sankar, R. K. Vimalraj, M. Kalaimathi
    SSRN Electronic Journal .2022;[Epub]     CrossRef
  • Isolation, purification and cytotoxic evaluation of lutein from mixotrophically grown Chlorella sorokiniana TH01
    Cuc T. Dinh, Cam Van T. Do, Thu Phuong T. Nguyen, Ngoc Hieu Nguyen, Truong Giang Le, Thuan Dang Tran
    Algal Research.2022; 62: 102632.     CrossRef
  • Differences in Willingness to Undergo BRCA1/2 Testing and Risk Reducing Surgery among the General Public, Cancer Patients, and Healthcare Professionals: A Large Population-Based Survey
    Yoon Jung Chang, Seungyeon Cho, Jungnam Joo, Kum Hei Ryu, Sangwon Lee, Juhee Cho, Myong Cheol Lim, So-Youn Jung, Jai Hong Han, Eun Sook Lee, Sun-Young Kong
    Journal of Personalized Medicine.2022; 12(5): 818.     CrossRef
  • Predictors of Hepatitis B Virus Infection Vaccine Hesitancy Among Pregnant Women Attending Antenatal Care at Lubaga Hospital, Kampala, Uganda
    Ismail Bamidele Afolabi, Abdulmujeeb Babatunde Aremu, Lawal Abdurraheem Maidoki, Nnodimele Onuigbo Atulomah
    International Journal of Women's Health.2022; Volume 14: 1093.     CrossRef
  • Improving the cancer prevention/treatment role of carotenoids through various nano-delivery systems
    Mahboobeh Zare, Zahra Norouzi Roshan, Elham Assadpour, Seid Mahdi Jafari
    Critical Reviews in Food Science and Nutrition.2021; 61(3): 522.     CrossRef
  • Prenatal hepatitis B screening and associated factors in a high prevalence district of Lira, northern Uganda: a community based cross sectional study
    Paul Semakula Katamba, David Mukunya, Doris Kwesiga, Victoria Nankabirwa
    BMC Public Health.2019;[Epub]     CrossRef
  • The Effects of the Stroke on the Health Knowledge, Optimistic Bias and Health-Promoting Lifestyle in Middle-Aged Adults
    Young-Ju Jeong, Jin-Hee Park
    Journal of the Korea Academia-Industrial cooperation Society.2016; 17(9): 141.     CrossRef
  • Cross-cultural Validation of Instruments Measuring Health Beliefs about Colorectal Cancer Screening among Korean Americans
    Shin-Young Lee, Eunice E. Lee
    Journal of Korean Academy of Nursing.2015; 45(1): 129.     CrossRef
  • Knowledge, Attitude, and Preventive Health Behavior of Cancer in Middle-aged Men
    Youngrye Park, Hwee Wee
    The Korean Journal of Rehabilitation Nursing.2014; 17(2): 97.     CrossRef
  • Factors affecting Cancer Preventive Behavior in Middle-aged People
    Nam Sun Kim, Kyu Eun Lee
    Journal of Korean Academy of Fundamentals of Nursing.2014; 21(1): 29.     CrossRef
  • Estimated risks and optimistic self-perception of breast cancer risk in Korean women
    ChaeWeon Chung, Suk Jeong Lee
    Applied Nursing Research.2013; 26(4): 180.     CrossRef
  • Comparison of Factors Associated with Intention to Receive Human Papillomavirus Vaccine Between Male and Female Undergraduate Students
    Hae Won Kim
    Korean Journal of Women Health Nursing.2011; 17(4): 415.     CrossRef
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  • 14 Crossref
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The Relationship between Optimistic Bias about Health Crisis and Health Behavior
Su Ho Park, Sul Hee Lee, Eun Mi Ham
J Korean Acad Nurs 2008;38(3):403-409.   Published online June 30, 2008
DOI: https://doi.org/10.4040/jkan.2008.38.3.403
AbstractAbstract PDF
Purpose

This study was performed to identify the relationship between optimistic bias about health crisis and health behavior of Korean adults in a crisis of health, and to prepare baseline data for developing a health education and promotion program.

Methods

Study subjects were 595 adults aged from 19 to 64 who live in Korea. Data were collected through questionnaires administered by one interviewer. Descriptive statistics and Pearson's correlation coefficient were calculated using the SPSS program.

Results

The average score for optimistic bias about health crisis was 2.69, and that for health behavior was 107.05. The optimistic bias about health crisis showed a significantly positive correlation with health behavior (r=.187, p=.000).

Conclusion

To make our results more useful, it is necessary to identity the causal relationship between health attitudes as an explanatory variable and optimistic bias as an outcome variable. In addition, a relatively low score in optimistic bias from this research compared to other studies must be explained through further studies considering unique Korean cultural background. Moreover, research of the relationship between optimistic bias about health crisis and health behavior looking at people who don't have good health behaviors is needed.

Citations

Citations to this article as recorded by  
  • Impact of public health communication for prevention and personal resilience at the time of crisis. A pilot study with psychophysiological and self-report measures
    Carlotta Acconito, Laura Angioletti, Michela Balconi
    Journal of Health Psychology.2025; 30(3): 498.     CrossRef
  • Expanding the health belief model on dementia knowledge, fear, and preventive behaviors among older adults in Korea: a cross-sectional descriptive study
    Jeong Eui Yun, Suyoung Choi
    Journal of Korean Biological Nursing Science.2025; 27(1): 60.     CrossRef
  • Factors influencing dementia preventive behaviors of older adults at high risk of dementia: Application of extended health belief model
    So Hee Jung, Mee Ock Gu
    Research in Community and Public Health Nursing.2024; 35: 22.     CrossRef
  • Multiple Group Membership, Optimistic Bias, and Infection Risk in the Context of Emerging Infectious Diseases
    Daniel Frings, Jane Wills, Susie Sykes, Kerry V. Wood, Ian P. Albery
    European Journal of Health Psychology.2023; 30(3): 115.     CrossRef
  • Knowledge and perception of cardiovascular disease risk among patients with rheumatoid arthritis
    Sunjoo Boo, Hyunjin Oh, Erika S. Froelicher, Chang-Hee Suh, Xianwu Cheng
    PLOS ONE.2017; 12(4): e0176291.     CrossRef
  • Self‐perceived health versus actual cardiovascular disease risks
    Young Ko, Sunjoo Boo
    Japan Journal of Nursing Science.2016; 13(1): 65.     CrossRef
  • The Effects of the Stroke on the Health Knowledge, Optimistic Bias and Health-Promoting Lifestyle in Middle-Aged Adults
    Young-Ju Jeong, Jin-Hee Park
    Journal of the Korea Academia-Industrial cooperation Society.2016; 17(9): 141.     CrossRef
  • The Relationship between the Optimistic Bias about Cancer and Cancer Preventive Behavior of the Korean, Chinese, American, and Japanese Adult Residing in Korea
    Sul Hee Lee, Eun Mi Ham
    Journal of Korean Academy of Nursing.2010; 40(1): 52.     CrossRef
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  • 8 Crossref
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A Correlational Study on Uncertainty, Coping and Depression of Cancer Patients
Yun Jung Lee, Eun Mi Ham, Kum Sun Kim
Journal of Korean Academy of Nursing 2001;31(2):244-256.   Published online March 29, 2017
DOI: https://doi.org/10.4040/jkan.2001.31.2.244
AbstractAbstract PDF

The purpose of this study was to investigate the effects of coping mechanisms on uncertainty and depression. The subjects were 71 cancer patients selected from Junbook National University Hospital, and the data collection period was from June 21 to October 19 of 2000. Uncertainty was measured by using Mishel's Uncertainty Scale, problem- focused coping, and emotional-focused coping. The data was collected by a questionnaire developed by Lee (1984), and then depression measured by using Beck's depression scale. Data was analyzed with SPSS/WIN 7.5 program by Pearson Correlation Coefficients, and Path analysis. The results were as follows : 1. The mean uncertainty score was 59.17, the mean problem-focused coping score was 48.78, the mean emotional-focused coping score was 42.52. 2. The mean depression score was 15.77. 3. Uncertainty in illness was significantly related to depression (p=0.003) and emotional-focused coping (p=0.028), but uncertainty was not associated with coping mechanisms. 4. When analyzed multiple regression between uncertainty, problem-focused coping, emotional- focused coping, and depression, more specifically emotional-focused coping showed a stronger association with depression than problem-focused coping. 5. Depression was highly correlated with economic status (p=0.015), educational background (p=0.005), duration of disease (p=0.045). 6. Problem-focused coping and emotional-focused coping appeared to function as moderators instead mediators on the relation between uncertainty and depression. In addition, as a whole, uncertainty showed a significant moderating effect on depression, while problem-focused coping did on depression. Finally, limitation of present findings were discussed and implications for future studies are suggested.

Citations

Citations to this article as recorded by  
  • Influence of Duration of Prophylactic Antibiotics Therapy on Uncertainty of Recovery in Elective Laparoscopic Uterine Myomectomy Patients
    Mi Young Jung, Kyung-Yeon Park
    Journal of Korean Academy of Fundamentals of Nursing.2018; 25(4): 240.     CrossRef
  • Factors Influencing the quality of life in thyroid cancer patients after thyroidectomy
    Jeong-Sook Jeong, In-Sook Kim, Eun-Seon Lee
    Journal of the Korea Academia-Industrial cooperation Society.2015; 16(8): 5442.     CrossRef
  • Uncertainty in Elderly Women with Osteoarthritis: Relationship to Pain, Self-care Agency and Health Conservation
    Jiran Nam, Kiwol Sung
    Journal of Korean Gerontological Nursing.2014; 16(3): 201.     CrossRef
  • A Study on the Uncertainty and Depression in Mothers of Hospitalized Children
    Kyung Hee Yoo
    The Journal of Korean Academic Society of Nursing Education.2013; 19(2): 265.     CrossRef
  • A Structural Model for Psychosocial Adjustment in Patients with Early Breast Cancer
    Hye Young Kim, Hyang Sook So
    Journal of Korean Academy of Nursing.2012; 42(1): 105.     CrossRef
  • The Influence of Uncertainty and Social Support on General Well-being among Hemodialysis Patients
    Youn-Jin Kim, Hee-Jung Choi
    The Korean Journal of Rehabilitation Nursing.2012; 15(1): 20.     CrossRef
  • Level and Correlation Factors of Uncertainty in Members of Families of a Patient with Mental Illness
    In-Ohg Oh, Eui Geum Oh, Sunah Kim
    Journal of Korean Academy of Psychiatric and Mental Health Nursing.2012; 21(2): 158.     CrossRef
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  • 7 Crossref
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