The Validity and Reliability of a Lifestyle Evaluation Tool for Patients with Metabolic Syndrome

대사증후군 대상자의 생활습관 평가 도구 개발을 위한 타당도와 신뢰도 검증

  • 강세원 (아주대학교 간호대학, 한국연구재단)
  • Received : 2010.09.18
  • Accepted : 2010.10.31
  • Published : 2010.11.30

Abstract

Purpose: This study examined the validity and reliability to develop a lifestyle evaluation tool for metabolic syndrome patients. Methods: A methodological research design was used. The construct factors and preliminary items were identified by reviewing previous researches and tools related to lifestyle and reviewed by ten experts. It was tested with 195 patients with metabolic syndrome in a university hospital. The data were analyzed with SPSS/WIN 14.0. Results: To test the validity, principal component analyses were used and resulted in the extraction of six components. The convergent validity resulted r= .72 (p<.001) with Health Promotion Lifestyle Profile. The discriminant validity with Center for Epidemiologic Studies Depression Scale resulted r= -.15 (p=.004). The Internal consistency of the tool had an Cronbach's a of .92. The self-report format Lifestyle Evaluation Tool for the patients with metabolic syndrome was developed with 36 items and four-rating scales:'physical activity and weight control' eight items, 'dietary habits' sixteen items, 'drinking and smoking' three items, 'sleep and rest' two items, 'stress' three items, 'drug and health management' four items. Conclusion: This Tool will evaluate health behaviors in patients with metabolic syndrome. Also, it will contribute to the development of nursing intervention to improve the metabolic syndrome patients' lifestyle.

Keywords

References

  1. Choi, M. A., & Lee, I. S. (1997). Health promotion and nursing practice. Seoul: Hyunmoonsa.
  2. Choi, S. C., Chon, K. K., & Yang, B. C. (2001). Integrated adaptation of CES-D in Korea. Korean Journal of Health Psychology, 6(1), 59-76.
  3. Gorsuch, R. L. (1983). Factor Analysis (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.
  4. Grundy, S. M. (2008). Metabolic syndrome pandemic. Arteriosclerosis, Thromosis, and Vascular Biology, 28, 629-636. https://doi.org/10.1161/ATVBAHA.107.151092
  5. Grundy, S. M., Cleeman, J. I., Daniels, S. R., Donato, K. A., Eckel, R. H., Franklin, B. A., et al. (2005). Diagnosis and management of the metabolic syndrome: An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation, 112, 2735-2752. https://doi.org/10.1161/CIRCULATIONAHA.105.169404
  6. Grundy, S. M., Cleeman, J. I., Merz, C. N., Brewer, H. B. Jr, Clark, L. T., Hunninghake, D. B., et al. (2004). Implications of recent clinical trials for the National Cholesterol Education Program Adult Treatment Panel III guidelines. Circulation, 110, 227-239. https://doi.org/10.1161/01.CIR.0000133317.49796.0E
  7. Isomaa, B., Almgren, P., Tuomi, T., Forsen, B., Lahti, K., Nissen, M., et al. (2001). Cardiovascular morbidity and mortality associated with the metabolic syndrome. Diabetes Care, 24, 683-689. https://doi.org/10.2337/diacare.24.4.683
  8. Janiszewski, P. M., Saunders, T. J., & Ross, R. (2008). Lifestyle treatment of the metabolic syndrome. American Journal of Lifestyle Medicine, 2, 99-108. https://doi.org/10.1177/1559827607311426
  9. Kim, A. K. (1998). Development of health behavior assessment tool of the Korean adults. Journal of Korean Academy of Nursing, 28, 540-549.
  10. Kris-Etherton, P., Eissenstat, B., Jaax, S., Srinath, U., Scott, L., Rader, J., et al. (2001). Validation for MEDFICTS, a dietary assessment instrument for evaluating adherence to total and saturated fat recommendations of the National Cholesterol Education Program Step 1 and Step 2 diets. The Journal of the American Dietetic Association, 101, 81-86. https://doi.org/10.1016/S0002-8223(01)00020-7
  11. Lakka, H. M., Laaksonen, T. A., Niskanen, L. K., Kumpusalo, E., Tuomilehto, J., & Salone, J. T. (2002). The metabolic syndrome and total and cardiovascular disease mortality in middle aged men. The Journal of the American Medical Association, 288, 2709-2716. https://doi.org/10.1001/jama.288.21.2709
  12. Lee, E. O., Yim, N. Y., & Park, H. A. (1998). Nursing, Medical research and statistic analysis. Seoul: Soomoonsa.
  13. Lee, S. Y., Park, H. S., Kim, S. M., Kwon, H. S., Kim, D. Y., Kim, D. J., et al. (2006). Cut-off points of waist circumference for defining abdominal obesity in the Korean population. Journal of Korean Society for the Study of Obesity, 15, 1-9.
  14. Lynn, M. R. (1986). Determination and quantification of content validity. Nursing Research, 35, 382-385.
  15. Ministry of Health & Welfare, Korea Institute for Health and Social Affairs. (2006). The Third Korea National Health and Nutrition Examination Survey (KNHANES III), Report 2005. Seoul: Korea Institute for Health and Social Affairs.
  16. National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III). (2002). Third report of the national cholesterol education program expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (adult treatment panel III) final report. Circulation, 106, 3143-3421.
  17. Nunnally, J. (1978). Psychometric theory (2nd ed.). New york: McGraw-Hill.
  18. Radloff, L. S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385-401. https://doi.org/10.1177/014662167700100306
  19. Reaven, G. M. (1988). Banting Lecture 1988. Role of insulin resistance in human disease. Diabetes, 37, 1595-1607. https://doi.org/10.2337/diabetes.37.12.1595
  20. Smith, M. S., Wallston, K. A., & Smith, C. A. (1995). The development and validation of the perceived health competence scale. Health Education Research, 10, 51-64. https://doi.org/10.1093/her/10.1.51
  21. Suh, Y. O. (1995). Structural model of health promoting lifestyle in midlife women. Unpublished doctoral dissertation, Kyunghee University, Seoul.
  22. Tak, Y. R., An, J. Y., Kim, Y. A., & Woo, H. Y. (2007). The effects of a physical activity-behavior modification combined intervention (PABM-intervention) on metabolic risk factors in overweight and obese elementary school children. Journal of Korean Academy of Nursing, 37, 902-913.
  23. The Korean Academy of Family Medicine. (2004). The health promotion in Korean. Seoul: Gyechuk Munwhasa.
  24. Walker, S. N., Sechrist, K. R., & Pender, N. J. (1987). The health promoting life style profile: development & psychometric characteristics. Nursing Research, 36, 76-81.
  25. Wiley, J. A., & Camacho, T. C. (1980). Life-style and future health: evidence from the Alameda county study. Preventive Medicine, 9, 1-21. https://doi.org/10.1016/0091-7435(80)90056-0
  26. Williams, R. L., Thomas, S. P., Young, D. O., Jozwiak, J. J., & Hector, M. A. (1991). Development of a health habit scale. Research in Nursing & Health, 14, 145-153. https://doi.org/10.1002/nur.4770140209
  27. Wilson, D. M. C., & Ciliska, D. (1984). Lifestyle assessment: Development and use of the FANTASTIC checklist. Canadian Family Physician, 30, 1527-1532.
  28. Yoo, C. S. (2006). Spss 14.0 for windows. Seoul: Elite.
  29. Yoo, J. S., Jeong, J. I., Park, C. G., Kang, S. W., & Ahn, J. A. (2009). Impact of lifestyle characteristics on prevalence risk of metabolic syndrome. Journal of Korean Academy of Nursing, 39, 594-601. https://doi.org/10.4040/jkan.2009.39.4.594
  30. Zhu, S., St-Onge, M. P., Heshka, S., & Heymsfield, S. B. (2004). Lifestyle behaviors associated with lower risk of having the metabolic syndrome. Metabolism, 53, 1503-1511. https://doi.org/10.1016/j.metabol.2004.04.017