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4 "Mammography"
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Original Articles
Assessing Decisional Balance toward Mammography Screening in Korean Women
Young Joo Park, Sung Ok Chang, Hyun Cheol Kang
Journal of Korean Academy of Nursing 2001;31(7):1174-1180.   Published online March 29, 2017
DOI: https://doi.org/10.4040/jkan.2001.31.7.1174
AbstractAbstract PDF

This cross-sectional survey was carried out to assess the decisional balance of Korean women toward mammography screening. A sample of 1, 903 naturally postmenopausal women was selected from the community-based social groups in town or city hall auxiliaries in seven metropolitan areas and six provinces in Korea. The classification of women according to the stage of adoption of mammography was 54.9% in pre-contemplation, 31.9% in contemplation, 7.8% in action, and 5.5% in maintenance. The mean differences of pros, cons, and the decisional balance by the stage of mammography adoption were statistically significant. There were significant mean differences between the stages of adoption according to a woman's experience with and intention for mammography and the pros score, the cons score, and the decisional balance score. Results provide the empirical evidence for the Transtheoretical model. An association between stages of mammography adoption and decisional balance exists.

Citations

Citations to this article as recorded by  
  • Analyzing paths from online health information seeking to colorectal cancer screening using health literacy skills frame and cognitive mediation model
    Seok Won Jin, Yeonggeul Lee, David A. Dia
    Patient Education and Counseling.2019; 102(3): 416.     CrossRef
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A study of the Stage of Change and Decisional balance: Exercise Acquisition, Smoking Cessation, Mammography Screening and Kegel's Exercise Acquisition in Korea
Sung Ok Chang, Young Joo Park, Chang Seung Park, Yeo Jin Lim
Journal of Korean Academy of Nursing 2000;30(5):1265-1278.   Published online March 29, 2017
DOI: https://doi.org/10.4040/jkan.2000.30.5.1265
AbstractAbstract PDF

This study was carried out to assess the perception of decisional balance of Korean subjects about 4 health behaviors and to identify the influencing factor of decisional balance for exercise acquisition, smoking cessation, mammography screening and Kegel's exercise acquisition. All are representative health behaviors nurses can intervene in Korea based on the Transtheoretical model. Convenient samples of 2,484 subjects (191; exercise, 169; smoking cessation, 1903; mammography screening and 221; Kegel's exercise) were selected from cities and counties over 9 provinces throughout Korea, and the data was collected from January 1, 1999 to February 29, 2000. The research instrument were the Decisional Balance Measure for Exercise (Marcus & Owen., 1992), Smoking Cessation (Velicer et al., 1985), Mammography Screening (Rakowski et al.,1992) and Kegel Exercise (Lim, 1999) and Stage of Change Measure for Exercise (Marcus et al, 1992), Smoking Cessation (DiClemente et al., 1991), Mammography Screening (Rakowski et al.,1992) and Kegel's Exercise (Lim, 1999). The data was analyzed by the SAS Program. The results are as follows; 1. According to the stage of change measure, 2,484 subjects were distributed in each stage of change for four health behaviors: 1,233 subjects (49.8%), 745 subjects (30.2%), 113 subjects (4.7%), 156 subjects (6.5%), and 216 (8.7%) belonged to the pre- contemplation stage, contemplation stage, preparation stage, action stage and maintenance stage. They were all series of stages of change in their efforts to do health behavior. 2. Factor analysis identified 3 factors (1 of Pros, 2 of Cons) for the exercise, 4 factors for smoking cessation (2 of Pros, 2 of Cons), 2 factors (1 of Pros, 1 of Cons) for the mammogram screening and 2 factors (1 of Pros, 1 of Cons) for Kegel's exercise of decisional balance. 3. The analysis of variance and multiple comparison analysis showed that for all 4 samples, the Cons of changing the problem behaviors outweighed the Pros for subjects who were in the pre- contemplation stage, The opposite was true for subjects in action and maintenance stage. 4. Through the discriminant analysis, it was found that one factor of Pros for exercise, one factor of Cons for smoking cessation, 1 factor of Cons for mammogram screening and one factor of Cons for Kegel's exercise were the more influencing factors, than others in discriminating the stages of change.
Results
are consistent with the applications of the Transtheoretical model, which have been used to understand how people change health behaviors. This results provide some evidence that subject's report of his/her health behavior corresponds to beliefs about usefulness of related health behaviors. The results of this study have implications for patients' health education and health intervention strategies. The findings of this study give useful information for nursing educators for 4 health behaviors, especially the factors relating to decision making in the different stages of change.

Citations

Citations to this article as recorded by  
  • Effects of a Smoking Cessation Program using Self-regulated Learning Strategy for Middle School Boys
    Young-Ju Jee, Haejung Lee, Yeonjung Lim
    Journal of Korean Academy of Psychiatric and Mental Health Nursing.2011; 20(1): 1.     CrossRef
  • Application of the Transtheoretical Model to Identify Aspects Influencing Condom Use Among Korean College Students
    Young Mi Kwon, Eun Ja Yeun, Hee Young Kim, Mi Sun Youn, Ju Yeon Cho, Hee Joo Lee
    Western Journal of Nursing Research.2008; 30(8): 991.     CrossRef
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Predictors of Mammography Participation Among Rural Korean Women Age 40 and Over
Hea Kung Hur, Gi Yon Kim, So Mi Park
Journal of Korean Academy of Nursing 2005;35(8):1443-1450.   Published online March 28, 2017
DOI: https://doi.org/10.4040/jkan.2005.35.8.1443
AbstractAbstract PDF
Purpose

The study was conducted to identify predictors of mammography screening for rural Korean women according to ‘Stage of Change’ from the Transtheoretical Model which, along with the Health Belief Model, formed the theoretical basis for this study.

Methods

A cross-sectional descriptive design was utilized. Through convenience sampling 432 women were selected from 2 rural areas. Data were collected by survey. Health beliefs constructs were measured with Champion's HBM Scale-Korea version. Mammography participation was measured using the Stage of Mammography Adoption Scale developed by Rakowski, et al. (1992).

Results

The most frequent stage of mammography adoption was ‘contemplation’ (40.5%). Predictors of stage of mammography adoption included ‘mammogram recommended by health professional’ (beta=0.59, t=16.12, p=.000), ‘perceived benefits’ (beta=0.09, t=2.21, p=.050), ‘perceived susceptibility’ (beta=0.09, t=1.98, p=.050), and ‘perceived barriers’ (beta= 0.07, t= -2.05, p=.041). ‘Mammogram recommended by health professional’ demonstrated the greatest association with having a mammogram.

Conclusion

Health professionals play key roles in improving mammography participation and should recognize the importance of their role in cancer prevention and be more actively involved in education and counseling on prevention of breast cancer.

Citations

Citations to this article as recorded by  
  • Knowledge and Factors Associated with Breast Cancer Self-Screening Intention among Saudi Female College Students: Utilization of the Health Belief Model
    Nasser Shubayr, Rola Khmees, Ali Alyami, Naif Majrashi, Nada Alomairy, Siddig Abdelwahab
    International Journal of Environmental Research and Public Health.2022; 19(20): 13615.     CrossRef
  • Determinants of mammography adoption among iranian women: What are the differences in the cognitive factors by the stages of test adoption?
    Shayesteh Shirzadi, Haidar Nadrian, Mohammad Asghari Jafarabadi, Hamid Allahverdipour, Hadi Hassankhani
    Health Care for Women International.2017; 38(9): 956.     CrossRef
  • Psychosocial predictors of breast self-examination behavior among female students: an application of the health belief model using logistic regression
    Alireza Didarloo, Bahram Nabilou, Hamid Reza Khalkhali
    BMC Public Health.2017;[Epub]     CrossRef
  • Assessment of the Effects of Breast Cancer Training on Women Between the Ages of 50 and 70 in Kemalpasa, Turkey
    Gulengul Mermer, Meral Turk
    Asian Pacific Journal of Cancer Prevention.2015; 15(24): 10749.     CrossRef
  • Do cultural factors predict mammography behaviour among Korean immigrants in the USA?
    Hanju Lee, Jiyun Kim, Hae‐Ra Han
    Journal of Advanced Nursing.2009; 65(12): 2574.     CrossRef
  • Predictors of mammography uptake in Korean women aged 40 years and over
    Eunjung Ryu, Okhee Ahn, Sun‐Sook Baek, Mi‐Soon Jeon, Seung‐Eui Han, Young‐Rye Park, Mi‐Young Ham
    Journal of Advanced Nursing.2008; 64(2): 168.     CrossRef
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Women's Cancer Screening According to Body Mass Index in a Cohort of Rural Korean Women
Bo Hwan Kim, Sang Baek Koh, Hea Kung Hur, Jong-Ku Park, So Mi Park
J Korean Acad Nurs 2009;39(5):641-650.   Published online October 31, 2009
DOI: https://doi.org/10.4040/jkan.2009.39.5.641
AbstractAbstract PDF
Purpose

This study was done to examine the difference in cancer screening with mammography and Papanicolaou smear according to Body Mass Index (BMI).

Methods

The participants in this study were 5,912 women ages 40 to 69 yr, selected from the Korean Genomic Regional Cohort in Kangwon province. Mammography and Papanicolaou smear were assessed by questionnaire and body weight (kg) and height (m) measured to calculate BMI.

Results

The distribution of BMI was as follows: low weight (1.5%), normal weight (31.1%), over weight (24.6%), mildly obese (36.4%) and severely obese (6.3%). After adjusting for age, education and monthly income, compared with normal weight women, overweight women (odds ratio [OR]=1.283, 95% confidence interval [CI]=1.089-1.513) and mildly obese women (OR=1.214, 95% CI=1.048-1.406) were less likely to have had mammography. In contrast to mammography, cancer screening with Papanicolaou smear was not significantly different by BMI.

Conclusion

Obese women in rural areas are less likely to screen for breast cancer by using mammography than non obese women. To ensure regular screening for breast cancer, health care providers need to give scrupulous care to obese women and remove barriers originated from obesity. Also, educational and clinical implications are considered to increase the Papanicolaou smear rate.

Citations

Citations to this article as recorded by  
  • Determinants of breast cancer screening uptake in Kurdishwomen of Iran
    Nayyereh Aminisani, Rojin Fattahpor, Saeed Dastgiri, Mohamad Asghari Jafarabadi, Hamid Allahverdipour
    Health Promotion Perspectives.2016; 6(1): 42.     CrossRef
  • Lifestyle and health-related predictors of cervical cancer screening attendance in a Swiss population-based study
    Aline Richard, Sabine Rohrmann, Seraina M. Schmid, Brigitte Frey Tirri, Dorothy J. Huang, Uwe Güth, Monika Eichholzer
    Cancer Epidemiology.2015; 39(6): 870.     CrossRef
  • Evaluation of Diet Quality according to Self-Rated Health Status of Korean Middle-Aged Women -Based on 2008~2009 Korean National Health and Nutrition Examination Survey-
    Hye-Jin Lee, Kyung-Hea Lee
    Journal of the Korean Society of Food Science and Nutrition.2013; 42(9): 1395.     CrossRef
  • Factors Associated with Mammography Adherence among Married Chinese Women in Yanbian, China
    Moonhee Gang, Jong Im Kim, Kyong Ok Oh, Chun Yu Li, Youngshin Song
    Asian Pacific Journal of Cancer Prevention.2013; 14(12): 7207.     CrossRef
  • Effects of Tailored Message Education About Breast Cancer Risk Appraisal for Obese Korean Women
    SoMi Park, ChaeWeon Chung, Barbara B. Cochrane
    Oncology Nursing Forum.2013; 40(6): E382.     CrossRef
  • Comparison of Breast Cancer Risk Estimations, Risk Perception, and Screening Behaviors in Obese Rural Korean Women
    SoMi Park, Barbara B. Cochrane, Sang Baek Koh, ChaeWeon Chung
    Oncology Nursing Forum.2011; 38(6): E394.     CrossRef
  • Use of mammography, Pap test and prostate examination by body mass index during the developmental period of cancer screening in Estonia
    M. Tekkel, T. Veideman, M. Rahu
    Public Health.2011; 125(10): 697.     CrossRef
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