J Korean Med Sci.  2011 Feb;26(2):159-165. 10.3346/jkms.2011.26.2.159.

Predictive Accuracy of a Health Risk Appraisal Program Using Mortality Risk Age in 116,927 Korean Men

Affiliations
  • 1Department of Family Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.
  • 2Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea.
  • 3Department of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea.
  • 4Department of Family Medicine, Seoul National University College of Medicine, Seoul, Korea. belong@snu.ac.kr

Abstract

Health risk appraisal (HRA) is a tool for determining health risk factors and motivating individuals to maintain a healthy lifestyle. We performed this study to describe the HRA algorithm and evaluate the accuracy of an HRA program for 10-yr mortality prediction in Korean men. We used data derived from periodic health examinations of 116,927 male public officials and school personnel aged 20 or older. Risk age and the difference between risk age and calendar age were calculated. We obtained the hazard ratio (HR) of 10-yr mortality according to the calculated age difference. Of the 116,927 subjects, 1,900 (1.6%) died during the 10 yr after the 1992 medical examinations. The HR of 10-yr mortality increased significantly with age difference. Compared with the HR in the reference group (age difference below 2 yr), the HR in the group with a 2- to 6-yr age difference was 1.20 (95% confidence interval [CI]: 1.05 to 1.38) and HR in the group with more than 7-yr age difference was 1.35 (95% CI: 1.14 to 1.75). Risk age is a relatively good predictor of 10-yr mortality in Korean men and may be useful in identifying high-risk middle-aged men for health interventions.

Keyword

Health Status Indicators; Validity; Mortality; Men; Health Risk Appraisal

MeSH Terms

Adult
*Age Factors
Female
*Health Status Indicators
Humans
Insurance, Health
Life Style
Male
Middle Aged
*Mortality
*Predictive Value of Tests
Reproducibility of Results
Risk Factors
Young Adult

Reference

1. Knoops KT, de Groot LC, Kromhout D, Perrin AE, Moreiras-Varela O, Menotti A, van Staveren WA. Mediterranean diet, lifestyle factors, and 10-year mortality in elderly European men and women: the HALE project. JAMA. 2004. 292:1433–1439.
2. van Dam RM, Li T, Spiegelman D, Franco OH, Hu FB. Combined impact of lifestyle factors on mortality: prospective cohort study in US women. BMJ. 2008. 337:a1440.
3. Inoue M, Iwasaki M, Otani T, Sasazuki S, Tsugane S. Public awareness of risk factors for cancer among the Japanese general population: a population-based survey. BMC Public Health. 2006. 6:2.
4. Wardle J, Waller J, Brunswick N, Jarvis MJ. Awareness of risk factors for cancer among British adults. Public Health. 2001. 115:173–174.
5. Breslow RA, Sorkin JD, Frey CM, Kessler LG. Americans' knowledge of cancer risk and survival. Prev Med. 1997. 26:170–177.
6. Prochaska JJ, Velicer WF, Nigg CR, Prochaska JO. Methods of quantifying change in multiple risk factor interventions. Prev Med. 2008. 46:260–265.
7. Alexander G. Hyner GC, Peterson KW, Travis JW, editors. Health Risk Appraisal. SPM Handbook of Health Assessment Tools. 1999. Pittsburgh: Society of Prospective Medicine;139–142.
8. Shin HC. Health Risk Appraisal-Need assessment and general health status appraisal tool for adults. J Korean Acad Fam Med. 2003. 24:4 Suppl. S339–S348.
9. Baek YJ. Definition of health risk appraisal. J Korean Acad Fam Med. 2002. 23:11 Suppl. S260–S267.
10. Kim CH. Methods of health risk appraisal. J Korean Acad Fam Med. 2002. 23:11 Suppl. S286–S290.
11. Lee JH. Issues and improvements in development of Korean health risk appraisal. J Korean Acad Fam Med. 2002. 23:11 Supple. S291–S295.
12. Alexander G. Health risk appraisal. Int Electron J Health Educ. 2000. 3(special):133–137.
13. Kasper DL, Braunwald E, Fauci AS, Hauser SL, Longo DL, Jameson JL. Harrison's Principles of Internal Medicine. 2005. 16th ed. New York: McGraw Hill.
14. Mancia G, De Backer G, Dominiczak A, Cifkova R, Fagard R, Germano G, Grassi G, Heagerty AM, Kjeldsen SE, Laurent S, Narkiewicz K, Ruilope L, Rynkiewicz A, Schmieder RE, Boudier HA, Zanchetti A. ESH-ESC Task Force on the Management of Arterial Hypertension. 2007 ESH-ESC practice guidelines for the management of arterial hypertension: ESH-ESC task force on the management of arterial hypertension. J Hypertens. 2007. 25:1751–1762.
15. Hagihara A, Kusaka Y, Morimoto K, Tamura T, Matsuura Y. Health risk appraisal (HRA) and its educational effect on bank employees. Ind Health. 1992. 30:61–64.
16. Safer MA. An evaluation of the health hazard appraisal based on survey data from a randomly selected population. Public Health Rep. 1982. 97:31–37.
17. Katz D, Foxman B. How well do prediction equations predict? Using receiver operating characteristic curves and accuracy curves to compare validity and generalizability. Epidemiology. 1993. 4:319–326.
18. Gazmararian JA, Foxman B, Yen LT, Morgenstern H, Edington DW. Comparing the predictive accuracy of health risk appraisal: the Centers for Disease Control versus Carter Center program. Am J Public Health. 1991. 81:1296–1301.
19. Foxman B, Edington DW. The accuracy of health risk appraisal in predicting mortality. Am J Public Health. 1987. 77:971–974.
20. Smith KW, McKinlay SM, Thorington BD. The validity of health risk appraisal instruments for assessing coronary heart disease risk. Am J Public Health. 1987. 77:419–424.
21. Smith KW, McKinlay SM, McKinlay JB. The validity of health risk appraisals for coronary heart disease: results from a randomized field trial. Am J Public Health. 1991. 81:466–470.
22. Jang JI, Kim CH, Shin HC, Park YW, Sung EJ, Lee EJ, Choi DH, Paik YJ, Kim AJ. The relationship between health risk appraisal and health-related quality of life among middle-aged men. J Korean Acad Fam Med. 2006. 27:534–539.
23. Edington D, Berlin J. Correlates of selected health risk appraisal input questions with physiological and psychosocial indicators. Proceedings of the 18th Annual Meeting of the Society of Prospective Medicine. 1982. Sewickley, PA: Society of Prospective Medicine.
24. Berlin J, Edington D. Predicting physiological parameters from questionnaire data. Proceedings of the 19th Annual Meeting of the Society of Prospective Medicine. 1983. Sewickley, PA: Society of Prospective Medicine.
25. Kurtze N, Rangul V, Hustvedt BE, Flanders WD. Reliability and validity of self-reported physical activity in the Nord-Trøndelag Health Study: HUNT 1. Scand J Public Health. 2008. 36:52–61.
26. Pokorski TL, Chen WW, Bertholf RL. Use of urine cotinine to validate smoking self-reports in U.S. Navy recruits. Addict Behav. 1994. 19:451–454.
27. Smith KW, McKinlay SM, McKinlay JB. The reliability of health risk appraisals: a field trial of four instruments. Am J Public Health. 1989. 79:1603–1607.
28. DiPietro JA, Ghera MM, Costigan K, Hawkins M. Measuring the ups and downs of pregnancy stress. J Psychosom Obstet Gynaecol. 2004. 25:189–201.
29. Ho R, Davidson G, Ghea V. Motives for the adoption of protective health behaviours for men and women: an evaluation of the psychosocial-appraisal health model. J Health Psychol. 2005. 10:373–395.
30. Jee SH, Ohrr H, Sull JW, Samet JM. Cigarette smoking, alcohol drinking, hepatitis B, and risk for hepatocellular carcinoma in Korea. J Natl Cancer Inst. 2004. 96:1851–1856.
Full Text Links
  • JKMS
Actions
Cited
CITED
export Copy
Close
Share
  • Twitter
  • Facebook
Similar articles
Copyright © 2024 by Korean Association of Medical Journal Editors. All rights reserved.     E-mail: koreamed@kamje.or.kr