DOI QR코드

DOI QR Code

건강신념모델을 기반한 소규모 산업장 생산직 남성근로자의 대사증후군 감소 프로그램 개발을 위한 요구사정

Health Belief Model-based Needs Assessment for Development of a Metabolic Syndrome Risk Reduction Program for Korean Male Blue-collar Workers in Small-sized Companies

  • 박윤희 (원광대학교 의과대학 간호학과) ;
  • 김두리 (건양대학교 간호대학 간호학과)
  • Park, Yunhee (Department of Nursing, College of Medicine, Wonkwang University) ;
  • Kim, Dooree (College of Nursing, Konyang University)
  • 투고 : 2018.10.11
  • 심사 : 2018.11.21
  • 발행 : 2018.11.30

초록

Purpose: This study aimed to comprehend the real context of metabolic syndrome-related factors of Korean male blue-collar workers from small-sized companies based on the health belief model. Methods: A total of 37 workers from three companies were interviewed, and three series of focus group interviews were conducted. Data were analyzed using deductive content analysis. Results: Data were classified into four categories: knowledge, perceived susceptibility and severity, perceived barriers, and beliefs. Knowledge referred to low knowledge level; perceived susceptibility and severity referred to unawareness of susceptibility and severity; perceived barriers referred to shift work, overtime work, and a social context including having no choice but to drink; and beliefs referred to believing that health promotion behaviors do not relate to preventing metabolic syndrome, believing that one cannot prevent metabolic syndrome oneself, and believing that professional help is required. Conclusion: To prevent and reduce the risk of metabolic syndrome among Korean male blue-collar workers, interventions should focus on strategies to increase metabolic syndrome-related knowledge and perceptions, social support, and self-efficacy for practicing health behaviors. In addition, it is necessary to develop policies for establishing a healthy drinking culture in companies.

키워드

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Figure 1. Content analysis process of this study.

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Figure 2. Frequency of categories and subcategories.

Table 1. Characteristics of Participants

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Table 2. Categories, Sub-categories, and related Quotations for MS-related Knowledge, Perceived Susceptibility and Severity, Perceived Barriers: Correspondence Comparison to HBM

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참고문헌

  1. Chae, D., Kim, S., Park, Y., & Hwang, Y. (2015). The effects of an academic-workplace partnership intervention to promote physical activity in sedentary office workers. Workplace Health & Safety, 63(6), 259-266. https://doi.org/10.1177/2165079915579576
  2. Do, K. A., Jung, H. S., & Choi, E. H. (2015). Association between job-related factors and metabolic syndrome among male and female workers: Using the Korean national health and nutrition examination survey. Korean Journal of Occupational Health Nursing, 24(1), 39-47. https://doi.org/10.5807/kjohn.2015.24.1.39
  3. Elo, S., & Kyngas, H. (2008). The qualitative content analysis process. Journal of Advanced Nursing, 62(1), 107-115. https://doi.org/10.1111/j.1365-2648.2007.04569.x
  4. Elo, S., Kaariainen, M., Kanste, O., Polkki, T., Utriainen, K., & Kyngas, H. (2014). Qualitative content analysis: A focus on trustworthiness. SAGE open, 4(1), 1-10.
  5. Glanz, K., Rimer, B. K., & Viswanath, K. (2008a). Health behavior and health education: Theory, research, and practice. In V. L. Champion & C. S. Skinner, The Health Belief Model (4th ed., pp. 45-65). San Francisco, CA: John Wiley & Sons.
  6. Glanz, K., Rimer, B. K., & Viswanath, K. (2008b). Health behavior and health education: Theory, research, and practice. In: A. L. McAlister, C. L. Perry, & G. S. Parcel (Eds.), How individuals, environments, and health behaviors interact-Social cognitive theory (4th ed., pp. 169-188). San Francisco, CA: John Wiley & Sons.
  7. Glanz, K., Rimer, B. K., & Viswanath, K. (2008c). Health behavior and health education: Theory, research, and practice. In A. H. Catherine, & A. I. Barbara (Eds.). Social networks and social support (4th ed., pp. 189-210). San Francisco, CA: John Wiley & Sons.
  8. Glanz, K., Rimer, B. K., & Viswanath, K. (2008d). Health behavior and health education: Theory, research, and practice. In N. D. Weinstein, P. M. Sandman, & S. J. Blalock (Eds), The precaution adaption process model. (4th ed., pp. 124-147.) San Francisco, CA: John Wiley & Sons.
  9. Grove, S. K., Burns, N., & Gray, J. (2012). The practice of nursing research: Appraisal, synthesis, and generation of evidence (pp. 57-71). St. Louis, MO: Elsevier Health Sciences.
  10. Hwang, W. J., & Park, Y. (2015a). Ecological correlates of cardiovascular disease risk in Korean blue-collar workers: A multilevel study. Journal of Korean Academy of Nursing, 45(6), 857-867. https://doi.org/10.4040/jkan.2015.45.6.857
  11. Hwang, W. J., & Park, Y. (2015b). Factors affecting health-related quality of life on Korean blue-collar workers. Korean Journal of Occupational Health Nursing, 24(2), 94-102. https://doi.org/10.5807/kjohn.2015.24.2.94
  12. Hwang, W. J., & Park, Y. (2016). CVD-related knowledge, perception, belief and prevention behaviors of Korean blue-collar workers: Needs assessment for developing the intervention program through qualitative approach. Korean Journal of Occupational Health Nursing, 25(4), 362-372. https://doi.org/10.5807/kjohn.2016.25.4.362
  13. Kang, S. H., & Hwang, S. Y. (2016). Influence of occupational type and lifestyle risk factors on prevalence of metabolic syndrome among male workers: A retrospective cohort study. Korean Journal of Adult Nursing, 28(2), 180-190. https://doi.org/10.7475/kjan.2016.28.2.180
  14. Kim, C. M., Choi, J. M., Jung, H. S., Kim, H. G., Kim, S. L., & Yoon, S. N. (2003). A diagnostic study for health management on workers in small scale enterprises from the perspective of the PRECEDE mode. Korean Journal of Occupational Health Nursing, 12(2), 110-122.
  15. Kim, S. L., Jung, H. S., Lee, J. E., Yi, Y. J., Kim, Y. H., Lee, S. S., et al. (2010). Cardiovascular disease management among workers in small-sized enterprise using community-based approach. Korean Journal of Occupational Health Nursing, 19(1), 70-77.
  16. Kim, T. H., Jung, M. H., & Lee, S. H. (2016). A study on correlation between job stress and metabolic syndrome of male employees of electronic goods manufacturer. Korean Journal of Occupational Health Nursing, 25(1), 55-64 https://doi.org/10.5807/kjohn.2016.25.1.55
  17. Ko, D. S., Park, B. Y., & Seok, G. H. (2013). Relation of health promotion behaviors and metabolic syndrome in daytime workers. The Journal of the Korea Institute of Electronic Communication Sciences, 8(12), 1941-1948. https://doi.org/10.13067/JKIECS.2013.8.11.1941
  18. Krause, N., Brand, R. J., Kaplan, G. A., Kauhanen, J., Malla, S., Tuomainen, T. P., et al. (2007). Occupational physical activity, energy expenditure and 11-year progression of carotid atherosclerosis. Scandinavian Journal of Work, Environment & Health, 33(6), 405-424. https://doi.org/10.5271/sjweh.1171
  19. Krueger, R. A., & Casey, M. A. (2009). Focus groups: A practical guide for applied research (4th ed.). Thousand Oaks, CA: Sage.
  20. Ministry of Employment and Labor. (2017). Number of workers health center branches to be largely expanded to protect health of workers marginalized from occupational health services. Retrieved June 21, 2017, from http://www.moel.go.kr/english/poli/poliNewsnews_view.jsp?idx=1389
  21. Ministry of Employment and Labor. (2018). Increase in recognition rate of occupational accidents in 2017. Retrieved June 21, 2017, from http://www.moel.go.kr/news/enews/report/enewsView.do?news_seq=8418
  22. Morse, J. M., Barrett, M., Mayan, M., Olson, K., & Spiers, J. (2002). Verification strategies for establishing reliability and validity in qualitative research. International Journal of Qualitative Methods, 1(2), 13-22. https://doi.org/10.1177/160940690200100202
  23. Mozaffarian, D., Benjamin, E. J., Go, A. S., Arnett, D. K., Blaha, M. J., Cushman, M., et al. (2015). Heart disease and stroke statistics-2015 update: A report from the American Heart Association. Circulation, 131(4), 1-294. https://doi.org/10.1161/01.cir.0000460076.01902.26
  24. Nam, K. C., Park, J. S., Koh, J. W., Kim, J. S., Park, J. T., Kim, H. J., et al. (2011). An assessment of the needs and the affecting factors for small scale enterprise worker's health centers. Korean Journal of Occupational and Environmental Medicine, 23(4), 407-419.
  25. Oh, J. D., Lee, S., Lee, J. G., Kim, Y. J., Kim, Y. J., & Cho, B. M. (2009). Health behavior and metabolic syndrome. Korean Journal of Family Medicine, 30(2), 120-128. https://doi.org/10.4082/kjfm.2009.30.2.120
  26. Park, Y. (2018). Factors affecting health-related quality of life in University students-A focus on binge drinking. Journal of Learner-Centered Curriculum and Instruction, 18(3), 301-318.
  27. Perez-Martinez, P., Mikhailidis, D. P., Athyros, V. G., Bullo, M., Couture, P., Covas, M. I., et al. (2017). Lifestyle recommendations for the prevention and management of metabolic syndrome: An international panel recommendation. Nutrition reviews, 75(5), 307-326. https://doi.org/10.1093/nutrit/nux014
  28. Pimenta, A. M., & Martinez-Gonzalez, M. A. (2016). The association between long working hours and metabolic syndrome remains elusive. European Journal of Public Health, 26(3), 377. https://doi.org/10.1093/eurpub/ckw030
  29. Rosenstock, I. M., Strecher, V. J., & Becker, M. H. (1994). The health belief model and HIV risk behavior change. In Preventing AIDS (pp. 5-24). Boston, MA: Springer.
  30. Verbestel, V., De Henauw, S., Maes, L., Haerens, L., Mårild, S., Eiben, G., et al. (2011). Using the intervention mapping protocol to develop a community-based intervention for the prevention of childhood obesity in a multi-centre European project: the IDEFICS intervention. International Journal of Behavioral Nutrition and Physical Activity, 8(1), 82. https://doi.org/10.1186/1479-5868-8-82