디지털융복합연구 (Journal of Digital Convergence)

  • 제17권7호
  • /
  • Pages.179-186
  • /
  • 2019
  • /
  • 2713-6434(pISSN)
  • /
  • 2713-6442(eISSN)
한국디지털정책학회 (The Society of Digital Policy and Management)
권호 표지
DOI QR코드

DOI QR Code

대장암 조기검진행위와 영향요인

Factors Influencing of Colorectal Cancer Screening Behavior

  • Lee, Ji Sun (Department of Nursing, Honam University)
  • 투고 : 2019.04.22
  • 심사 : 2019.07.20
  • 발행 : 2019.07.28
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

본 연구는 건강신념모델(Health Belief Model, HBM)을 이론적 기틀로 대장암 조기검진행위에 영향을 미치는 요인을 규명하기 위한 서술적 조사연구이다. 만 50세 이상 성인 148명을 대상으로 인구사회학적 특성, 건강신념, 자기 효능감 및 행동의 계기 변수를 포함한 구조화된 설문지를 이용하여 조사하였다. 수집된 자료는 SPSS/WIN 25.0을 이용하여 기술통계, t-test, chi-square test 및 다중로지스틱 회귀분석을 시행하였다. 연구결과 대장암 조기검진행위에 영향을 미치는 요인은 지각된 민감성, 배우자 대장암 검진 경험 및 가족력이었다. 따라서 대장암 수검율 향상을 위해서는 대장암 조기검진의 중요성에 대한 체계적인 교육을 통해 지각된 민감성을 높이는 것이 필요하다. 또한 대상자의 가족력 및 가족단위 검진 주기를 사정하고, 부부의 파트너쉽을 활용한 교육 프로그램 개발이 이루어져야 할 것이다.

This study was to investigate the factors influencing colorectal cancer(CRC) screening behavior using the health belief model(HBM). It was a descriptive cross-sectional survey. A total of 148 adults aged 50 or older participants were surveyed using structured questionnaires including general characteristics,, health beliefs, and behavioral variables. The data were analyzed by descriptive statistics, t-test, chi-square test and multiple logistic regression using SPSS/WIN 25.0 program. The significant factors influecing CRC screening behavior were perceived sensitivity, spousal experience of CRC screening and family history. Therefore, in order to improve the CRC screening rate, it is necessary to increase the perceived sensitivity through systematic education about the importance of early CRC screening. In addition, it is necessary to assess the spousal screening experience and the family history of subjects and to develop the education program using the partnership of the couple.

키워드

Table 1. Demographics and the Health Belief, Self efficacy and Cue to action related to CRC Screening Behavior of Participants

DJTJBT_2019_v17n7_179_t0001.png 이미지

Table 2. Characteristics according to the Experience of CRC screening

DJTJBT_2019_v17n7_179_t0002.png 이미지

Table 3. Predictors of CRC Screening Behavior

DJTJBT_2019_v17n7_179_t0003.png 이미지

참고문헌

  1. E-country index. Cancer occurrence and death status.http://www.index.go.kr/potal/main/EachDtlPageDetai.doidx_cd=2770.
  2. Cancers fact sheets: colorectal cancer. http://gco.iarc.fr/today/data/pdf/fact-sheets/cancers/cancer-fact-sheets-6.pdf.
  3. K. W. Jung, Y. J. Won, H. J. Kong, C. M. Oh, H. Cho, D. H. Lee & K. H. Lee. (2015). Cancer statistics in Korea: incidence, mortality, survival, and prevalence in 2012. Cancer research and treatment: official. Journal of Korean Cancer Association, 47(2), 127. http://doi.org/10.4143/crt.2015.060.
  4. E-country index. National cancer early screening rate. http://www.index.go.kr/potal/main/EachDtlPageDetail.do idx_cd=1440.
  5. National Cancer Center. National cancer screening. http://www.ncc.re.kr/main.ncc?uri=manage01_4.
  6. M. H. Becker. (1974). The health belief model and sick role behavior. Health education monographs, 2(4), 409-419. http://doi.org/10.1177/109019817400200407.
  7. H. M. Kim, M. K. Lee, K. S. Park & H. K. Sung. (2012). Exploring of the model on health behavior to explain breast cancer screening behavior of test subjects in the national cancer screening program. Korean Psychological Association, 17(4), 979-996.
  8. H. A. Beydoun & M. A. Beydoun. (2008). Predictors of colorectal cancer screening behaviors among average-risk older adults in the United States. Cancer Causes & Control, 19(4), 339-359. https://doi.org/10.1007/s10552-007-9100-y.
  9. L. A. Jacobs. (2002). Health beliefs of first-degree relatives of individuals with colorectal cancer and participation in health maintenance visits: a population-based survey. Cancer nursing, 25(4), 251-265. https://doi.org/10.1097/00002820-200208000-00001.
  10. A. S. James, M. K. Campbell & M. A. Hudson. (2002). Perceived barriers and benefits to colon cancer screening among African Americans in North Carolina: how does perception relate to screening behavior. Cancer Epidemiology and Prevention Biomarkers, 11(6), 529-534.
  11. U. Menon, V. L. Champion. G. N. Larkin, T. W. Zollinger, M. P. Gerde & S. W. Vernon. (2003). Beliefs associated with fecal occult blood test and colonoscopy use at a worksite colon cancer screening program. Journal of occupational and environmental medicine, 45(8), 891-898. http://doi.org/10.1097/01.jom.0000083038.56116.30
  12. M. J. Kim, Y. W. Lee, W. S. Kim & O. K. Ham. (2012). Factors influencing the decision to have a colonoscopy. Korean Journal Adult Nursing, 24(3), 266-273. http://doi.org/10.7475/kjan.2012.24.3.266.
  13. N. Y. Bae. (2012) Health beliefs affecting the examination of fecal occult blood test among adults aged 50 years and over. Master dissertation. Kyunghee University, Seoul.
  14. F. Faul, E. Erdfelder, A. G. Lang & A. Buchner. (2007). G* Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior research methods, 39(2), 175-191. https://doi.org/10.3758/BF03193146.
  15. V. L. Champion. (1993). Instrument refinement for breast cancer screening behaviors. Nursing Research, 42(3), 139-143. http://doi.org/10.1097/00006199-199305000-00003.
  16. S. H. Park, G. S. Kim, J. U. Won & C. G. Park. (2012). Factors associated with colorectal cancer screening of blue-color workers. Asian Oncology Nursing, 12(2), 166-174. http://dx.doi.org/10.5388/aon.2012.12.2.166
  17. National Cancer Center. Announcing results of cancer screening examination for 2018. http://ncc.re.kr/prBoardView1.ncc?nwsId=4335.
  18. H. N. Hwang. (2017). Impacts of colorectal cancer knowledge and health literacy on self-management behaviors among elderly women in rural areas. Korean Journal of Adult Nursing, 29(5), 527-535. http://doi.org/10.7475/kjan.2017.29.5.527.
  19. S. S. Bae, H. S. Jo, D. H. Kim, Y. J. Choi & H. J. Lee. (2007). In proceedings of the korean society of health promotion conference. Korean Society for Health Education and Promotion. 7-36.
  20. S. E. Yang, N. K. Han, S. M. Lee, T. H. Kim & W. J. Chung. (2015). The factors related to the non-practice of cancer screening in cancer survivors: based on the 2007-2012 korean national health and nutrition examination survey. Health Policy and Management, 25(3), 162-173. http://doi.org/10.4332/KJHPA.2015.25.3.162.
  21. J. H. Lim. (2017). Income-related differences in cancer screening in Korea : Based on the 6th(2014) Korea National Health and Nutrition Examination Survey. Journal of Digital Convergence, 15(1), 329-338. http://doi.org/10.14400/JDC.2017.15.1.329.
  22. A. Bandura. (1986). The explanatory and predictive scope of self-efficacy theory. Journal of social and clinical psychology, 4(3), 359-373. http://doi.org/10.1521/jscp.1986.4.3.359.
  23. D. A. Kenny. (1996). Models of non-independence in dyadic research. Journal of Social and Personal Relationships, 13(2), 279-294. http://doi.org/10.1177/0265407596132007.
  24. M. Reblin, W. C. Birmingham, W. Kohlmann & T. Graff. (2018). Support and negation of colorectal cancer risk prevention behaviors: analysis of spousal discussions. Psychology, health & medicine, 23(5), 548-554. http://doi.org/10.1080/13548506.2017.1381747.
  25. R. M. Jones, K. J. Devers, A. J. Kuzel & S. H. Woolf. (2010). Patient-reported barriers to colorectal cancer screening: a mixed-methods analysis. American journal of preventive medicine, 38(5), 508-516. http://doi.org/10.1016/j.amepre.2010.01.021.
  26. S. H. Hwang & N. M. Chun. (2016). Health Promotion Behavior in Colorectal Cancer Patients and General Adults. Asian Oncology Nursing, 16(2), 94-102. http://doi.org/10.5388/aon.2016.16.2.94.
  27. L. E. Johns & R. S. Houlston. (2001). A systematic review and meta-analysis of familial colorectal cancer risk. The American journal of gastroenterology, 96(10), 2992-3003. https://doi.org/10.1016/S0002-9270(01)03239-7.
  28. H. W. Baik & M. Kim. (2014). The relation between comprehensive health needs of cancer patient and the quality of life. Journal of Digital Convergence, 12(12), 477-484. https://doi.org/10.14400/JDC.2014.12.12.477.