Korean J Women Health Nurs.  2011 Jun;17(2):157-168. 10.4069/kjwhn.2011.17.2.157.

Mammography Screening according to Breast Cancer Disease and Social Network Characteristics of Married Korean Women

Affiliations
  • 1College of Nursing, Yonsei University, Korea. yhko@yonsei.ac.kr

Abstract

PURPOSE
This study was done to examine differences in mammography screening according to breast cancer and social network characteristic.
METHODS
Data were collected from 187 married women 35 years and older who were using public health centers, health promotion centers, cultural centers, obstetrics and gynecology hospitals or other relevant community sites. Data were collected between October 24 and December 4, 2008. Data were analyzed using the SPSS/WIN 15.0 program.
RESULTS
The participation rate for mammography screening was 35.3%. The following general and breast cancer characteristics showed statistically significant differences: religion, family incomes, regular medical-care, general health examinations during past 2 years, and history of breast disease. The following social network characteristics showed statistically significant differences: social norms and subjective norms. Using logistic regression analysis, regular medical-care, breast cancer risk appraisal, social norm, and subjective norms were highly predictive of subsequent mammography.
CONCLUSION
The results of this study indicate that it is important to develop and provide tailored intervention programs through integrated socially mediated programs. By consciously including social network and support systems, breast cancer detection efforts would not end as a one-time event, but naturally build on network structure of adults women, thus facilitating regular mammography screening.

Keyword

Mammography; Social network; Social support; Social norm; Subjective norm

MeSH Terms

Adult
Breast
Breast Diseases
Breast Neoplasms
Female
Gynecology
Health Promotion
Humans
Logistic Models
Mammography
Mass Screening
Obstetrics
Public Health

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Meenhye Lee, Hyeonkyeong Lee, Sue Kim, Yeonsoo Jang
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