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Original Research

Open Access

EFFECT OF SHORT-TERM CARDIAC REHABILITATION ON QUALITY OF LIFE ACCORDING TO SOCIOECONOMIC STATUS

  • Sang Gyu Kim1
  • Sung Bum Choi1
  • Yong Hwan Kim1

1Department of Physical Education, Gangneung-Wonju National University, Gangneung-si, Republic of Korea

DOI: 10.22374/jomh.v15i4.177 Vol.15,Issue 4,November 2019 pp.37-46

Published: 01 November 2019

*Corresponding Author(s): Yong Hwan Kim E-mail: yhkim@gwnu.ac.kr

Abstract

Background

Cardiac rehabilitation (CR) lowers the recurrence of cardiovascular disease and has strong and posi-tive physical and psychological effects. The purpose of this study was to analyze the quality of life (QoL) of CR participants according to their monthly income and education levels in the early phase after percutaneous coronary intervention (PCI).

Material and methods

There were 128 participants (98 men and 30 women). Their socioeconomic status (SES) was evaluated and QoL was assessed using the 36-item Short Form Health Survey. CR was initiated 3 weeks after treatment and remeasured after 3 months. The pre-post analysis was performed using the paired t-test. The participants’ education levels were defined in terms of a middle school group (low education [LE]), high school group (middle education [ME]), and above college group (high education [HE]). Monthly household income was divided into tertiles: up to US$2000 (low income [LI]), up to US$4000 (middle income [MI]), and more than US$4000 (high income [HI]).

Results

There was a significant increase in mental health status—from 54.9 to 63.3—in the HE group, but no significant changes were observed in the LE and ME groups. Physical changes were observed in all education-level groups.

The physical changes in the group according to monthly income significantly increased by 9.1% (66.8– 73.5) in the LI group, 7.8% (65.9–71.5) in the MI group, and 12.1% (62.7–71.3) in the HI group. Physical changes were observed in all monthly income groups. Changes in occupational physical activity levels sig-nificantly improved physical and mental status in the middle and high activity groups, but not in the low activity group.

Conclusion

Changes in QoL as an effect of short-term CR were effective. Changes in mental QoL were significant in higher SES levels and physical QoL was effective in all groups.

Keywords

cardiac rehabilitation, quality of life, socioeconomic status

Cite and Share

Sang Gyu Kim,Sung Bum Choi,Yong Hwan Kim. EFFECT OF SHORT-TERM CARDIAC REHABILITATION ON QUALITY OF LIFE ACCORDING TO SOCIOECONOMIC STATUS. Journal of Men's Health. 2019. 15(4);37-46.

References

1. Celermajer DS, Chow CK, Marijon E, et al. Cardiovascular disease in the developing world: Prevalences, patterns, and the potential of early disease detection. J Am Coll Cardiol 2012;60:1207–16. https://doi.org/10.1016/j. jacc.2012.03.074

2. Kim HJ, Kim Y, Cho Y, et al. Trends in the preva-lence of major cardiovascular disease risk factors among Korean adults: Results from the Korea national health and nutrition examination survey, 1998–2012. Int J Cardiol 2014;174:64–72. https://doi.org/10.1016/j.ijcard.2014.03.163

3. Krenn L, Kopp C, Glogar D, et al. Cost-effectiveness of percutaneous coronary interven-tion with drug-eluting stents in patients with multivessel coronary artery disease compared to coronary artery bypass surgery five-years after intervention. Catheter Cardiovasc Interv 2014;84:1029–39. https://doi.org/10.1002/

ccd. 25397

4. Tully PJ, Baker RA. Depression, anxiety, and car-diac morbidity outcomes after coronary artery bypass surgery: A contemporary and practical review. J Geriatr Cardiol 2012;9:197–208. https://doi.org/10.3724/SP.J.1263.2011.12221

5. Parashar S, Rumsfeld JS, Spertus JA, et al. Time course of depression and outcome of myocardial infarction. Archiv Intern Med 2006;166:2035–43. https://doi.org/10.1001/archinte.166.18.2035

6. Park JH, Tahk SJ, Bae SH. Depression and anxiety as predictors of recurrent cardiac events 12 months after percutaneous coronary interven-tions. J Cardiovasc Nurs 2015;30:351–9. https://doi.org/10.1097/JCN.0000000000000143

7. Hofmann SG, Curtiss J, Carpenter JK, et al. Effect of treatments for depression on quality of life: A meta-analysis. Cogn Behav Ther 2017;46:265–86. https://doi.org/10.1080/1650607 3.2017.1304445

8. Lee YJ, Kim MS, Cho S, et al. Association of depression and anxiety with reduced quality of life in patients with predialysis chronic kidney dis-ease. Int J Clin Pract 2013;67:363–8. https://doi. org/10.1111/ijcp.12020

9. Mampuya WM. Cardiac rehabilitation past, pres-ent and future: An overview. Cardiovasc Diagn Ther 2012;2:38.

 10. Martin BJ, Arena R, Haykowsky M, et al. Cardiovascular fitness and mortality after con-temporary cardiac rehabilitation. Mayo Clin Proc 2013;88:455–63. https://doi.org/10.1016/j.mayocp. 2013.02.013

 11. Shepherd CW, While AE. Cardiac rehabilitation and quality of life: A systematic review. Int J Nurs Stud 2012;49:755–71. https://doi.org/10.1016/j. ijnurstu.2011.11.019

 12. Bhardwaj M, Price J, Landry M, et al. Association between severity of depression and cardiac risk factors among women referred to a cardiac reha-bilitation and prevention clinic. J Cardiopulm Rehabil Prev 2018;38:291–6. https://doi.org/10. 1097/HCR.0000000000000311

 13. Anchah L, Hassali MA, Lim MSH, et al. Health related quality of life assessment in acute coro-nary syndrome patients: The effectiveness of early phase I cardiac rehabilitation. Health Qual Life Outcomes 2017;15:10. https://doi.org/10.1186/s12955-016-0583-7

 14. Han C-W, Lee E-j, Sekita Y, et al. Use of struc-tural equation modeling to test construct validity of the sf-36 health survey among communi-ty-dwelling elderly in Korea. Korean Acad Integr Care Manage 2009;4:45–59.

 15. Felce D, Perry J. Quality of life: Its definition and measurement. Res Dev Disabil 1995;16: 51–74. https://doi.org/10.1016/0891-4222(94) 00028-8

 16. Jenkinson C, Wright L, Coulter A. Criterion validity and reliability of the sf-36 in a population sample. Qual Life Res 1994;3:7–12. https://doi. org/10.1007/BF00647843

 17. Kagamimori S, Gaina A, Nasermoaddeli A. Socioeconomic status and health in the Japanese population. Soc Sci Med (1982) 2009;68:2152–60. https://doi.org/10.1016/j.socscimed.2009.03.030

 18. Ishizaki M, Morikawa Y, Nakagawa H, et al. The influence of work characteristics on body mass index and waist to hip ratio in Japanese employees. Ind Health 2004;42:41–9. https://doi. org/10.2486/indhealth.42.41

 19. Derraik JG, Albert BB, de Bock M, et al. Socioeconomic status is not associated with health-related quality of life in a group of over-weight middle-aged men. PeerJ 2018;6:e5193. https://doi.org/10.7717/peerj.5193

 20. Yamazaki S, Fukuhara S, Suzukamo Y. Household income is strongly associated with health-related quality of life among Japanese men but not women. Public Health 2005;119:561–7. https://doi.org/10.1016/j.puhe.2004.07.014

 21. Somrongthong R, Wongchalee S, Ramakrishnan C, et al. Influence of socioeconomic factors on daily life activities and quality of life of Thai elderly. J Public Health Res 2017;6:49–55. https://doi.org/10.4081/jphr.2017.862

 22. Chichlowska KL, Rose KM, Diez-Roux AV, et al. Individual and neighborhood socioeco-nomic status characteristics and prevalence of metabolic syndrome. The atherosclerosis risk in communities (ARIC) study. Psychosom Med 2008;70:986. https://doi.org/10.1097/PSY.0b013 e318183a491

 23. Rukumnuaykit P, Pholphirul P. Happiness from social capital: An investigation from micro data in rural Thailand. Commun Dev 2016;47:562–73. https://doi.org/10.1080/15575330.2016.1206584

 24. Mielck A, Reitmeir P, Vogelmann M, et al. Impact of educational level on health-related quality of life (HRQL): Results from Germany based on the euroqol 5d (eq-5d). Eur J Public Health 2012;23:45–9. https://doi.org/10.1093/eurpub/ckr206

 25. Regidor E, Barrio G, de la Fuente L, et al. Association between educational level and health related quality of life in Spanish adults. J Epidemiol Commun Health 1999;53:75–82. https://doi.org/10.1136/jech.53.2.75

 26. Bielderman A, de Greef MH, Krijnen WP, et al. Relationship between socioeconomic status and quality of life in older adults: A path analysis. Qual Life Res 2015;24:1697–705. https://doi. org/10.1007/s11136-014-0898-y

 27. Gaalema DE, Elliott RJ, Savage PD, et al. Financial incentives to increase cardiac rehabilita-tion participation among low-socioeconomic sta-tus patients: A randomized clinical trial. JACC Heart Fail 2019;7:537–546. https://doi.org/ 10.1016/j.jchf. 2018.12.008

 28. Chan JL, Diaconescu AC, Horvath KA. Routine use of topical bacitracin to prevent sternal wound infections after cardiac surgery. Ann Thorac Surg 2017;104:1496–500. https://doi.org/10.1016/j. athoracsur.2017.04.017

 29. Park SJ, Kim YH, Park DW, et al. Randomized trial of stents versus bypass surgery for left main coronary artery disease. N Engl J Med 2011; 364: 1718–27. https://doi.org/10.1056/NEJMoa 1100452

 30. Syddall HE, Martin HJ, Harwood RH, et al. The sf-36: A simple, effective measure of mobility- disability for epidemiological studies. J Nutr Health Aging 2009;13:57–62. https://doi.org/ 10.1007/s12603-009-0010-4

 31. Hevey D, Brown A, Cahill A, et al. Four-week multidisciplinary cardiac rehabilitation produces similar improvements in exercise capacity and quality of life to a 10-week program. J Cardiopulm Rehabil Prev 2003;23:17–21. https://doi.org/ 10.1097/00008483-200301000-00004

 32. Sirgy MJ. Effects of personal activities on subjec-tive qol. In: The psychology of quality of life. Dordrecht: Springer Netherlands; 2012.

p. 109–21. Available from: https://www.springer. com/kr/book/9789400744042?wt_mc=Third-Party.SpringerLink.3.EPR653.About_eBook

 33. Matthew E. BURT PN. Education inequality in the republic of Korea: Measurement and causes. Inequal Educ 2008;24:261–89. https://doi. org/10.1007/978-90-481-2652-1_11

 34. Ware JE, Jr., Gandek B. Overview of the sf-36 health survey and the international quality of life assessment (IQOLA) project. J Clin Epidemiol 1998;51:903–12. https://doi.org/10.1016/S0895-4356(98)00081-X

 35. Peyre H, Leplege A, Coste J. Missing data methods for dealing with missing items in quality of life questionnaires. A comparison by simulation of per-sonal mean score, full information maximum likeli-hood, multiple imputation, and hot deck techniques applied to the sf-36 in the French 2003 decennial health survey. J Qual Life Res 2011;20:287–300. https://doi.org/10.1007/s11 136-010-9740-3

 36. Tidermark J, Bergström G, Svensson O, et al. Responsiveness of the euroqol (eq 5-d) and the sf-36 in elderly patients with displaced femoral neck fractures. Qual Life Res 2003;12:1069–79. https://doi.org/10.1023/A:1026193812514

 37. Yusuf S, Rangarajan S, Teo K, et al. Cardiovascular risk and events in 17 low-, middle-, and high-income countries. N Engl J Med 2014;371:818–27. https://doi.org/10.1056/NEJ Moa1311890

 38. Reddy KS, Yusuf S. Emerging epidemic of cardiovascular disease in developing countries. Circulation 1998;97:596–601. https://doi.org/ 10.1161/01.CIR.97.6.596

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