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