DOI QR코드

DOI QR Code

Factors Influencing Physical Activity among Community-dwelling Older Adults with Type 2 Diabetes: A Path Analysis

지역사회에 거주하는 제2형 당뇨병 노인의 신체활동에 영향을 미치는 요인: 경로분석

  • Received : 2014.11.07
  • Accepted : 2015.03.03
  • Published : 2015.06.30

Abstract

Purpose: The purpose of the study was to identify factors influencing physical activity among community-dwelling older adults with type 2 diabetes. The study design was based on the Theory of Triadic Influence. Methods: A total of 242 older adults with type 2 diabetes participated in this study. Six variables related to physical activity in older adults, including self-efficacy, social normative belief, attitudes, intention, experience, and level of physical activity, were measured using reliable instruments. Data were analyzed using descriptive statistics, Pearson's correlation analyses, and a path analysis. Results: The mean physical activity score was 104.2, range from zero to 381.21. The path analysis showed that self-efficacy had the greatest total effect on physical activity. Also, experience had direct and total effects on physical activity as well as mediated the paths of social normative beliefs to attitudes and intention to physical activity. These factors accounted for 10% of the total variance, and the fit indices of the model satisfied the criteria of fitness. Conclusion: The findings of the study reveal the important role of self-efficacy and past experience in physical activity in older adults with type 2 diabetes.

Keywords

References

  1. BouleNG, Haddad E, Kenny GP, Wells GA, Sigal RJ. Effects of exercise on glycemic control and body mass in type 2 diabetes mellitus: A meta-analysis of controlled clinical trials. JAMA: Journal of the American Medical Association. 2001;286(10):1218-1227. https://doi.org/10.1001/jama.286.10.1218
  2. Nocon M, Hiemann T, Müller-Riemenschneider F, Thalau F, Roll S, Willich SN. Association of physical activity with all-cause and cardiovascular mortality: A systematic review and meta-analysis. European Journal of Cardiovascular Prevention and Rehabilitation. 2008;15(3):239-246. http://dx.doi.org/10.1097/HJR.0b013e3282f55e09
  3. Sigal RJ, Kenny GP, Wasserman DH, Castaneda-Sceppa C, White RD. Physical activity/exercise and type 2 diabetes: A consensus statement from the American Diabetes Association. Diabetes Care. 2006;29(6): 1433-1438. http://dx.doi.org/10.2337/dc06-9910
  4. Chodzko-Zajko WJ, Proctor DN, Fiatarone Singh MA, Minson CT, Nigg CR, Salem GJ, et al. American college of sports medicine position stand. Exercise and physical activity for older adults. Medicine and Science in Sports and Exercise. 2009;41(7):1510-1530. http://dx.doi.org/10.1249/MSS.0b013e3181a0c95c
  5. Sinclair AJ, Conroy SP, Bayer AJ. Impact of diabetes on physical function in older people. Diabetes Care. 2008;31(2):233-235. http://dx.doi.org/10.2337/dc07-1784
  6. Snowling NJ, Hopkins WG. Effects of different modes of exercise training on glucose control and risk factors for complications in type 2 diabetic patients: A meta-analysis. Diabetes Care. 2006;29(11):2518-2527. http://dx.doi.org/10.2337/dc06-1317
  7. Kirkman MS, Briscoe VJ, Clark N, Florez H, Haas LB, Halter JB, et al. Diabetes in older adults. Diabetes Care. 2012;35(12):2650- 2664. http://dx.doi.org/10.2337/dc12-1801
  8. Statistics Korea. Elderly statistics 2013 [Internet]. Daejeon: Author; 2013 [cited 2014 November 1]. Available from: http://kostat.go.kr/portal/korea/kor_nw/2/1/index.board?bmode=read&aSeq=308688.
  9. Ministry of Health & Welfare, Korea Centers for Disease Control & Prevention. Korea health statistics 2012: Korea national health and nutrition examination survey (KNHANES V-3). Seoul: Ministry of Health & Welfare; 2013.
  10. Zhao G, Ford ES, Li C, Balluz LS. Physical activity in U.S. older adults with diabetes mellitus: Prevalence and correlates of meeting physical activity recommendations. Journal of the American Geriatrics Society. 2011;59(1):132-137. http://dx.doi.org/10.1111/j.1532-5415.2010.03236.x
  11. Park IS, Kim R, Park MH, Kim CS, Kim YJ, Jung YJ. Factors influencing the exercise performance of elderly patients with diabetes. Journal of Environmental and Sanitary Engineering. 2009; 24(4):27-38.
  12. Kang HY, Gu MO. A study on physical activity and related factors to physical activity for the elderly with diabetes mellitus. Journal of Muscle and Joint Health. 2012;19(1):57-70. http://dx.doi.org/10.5953/JMJH.2012.19.1.057
  13. Sung KW. Relationship of daily activity and biochemical variables in the elderly with diabetes mellitus. Journal of Korean Academy of Nursing. 2011;41(2):182-190. http://dx.doi.org/10.4040/jkan.2011.41.2.182
  14. Hays LM, Clark DO. Correlates of physical activity in a sample of older adults with type 2 diabetes. Diabetes Care. 1999;22(5): 706-712. https://doi.org/10.2337/diacare.22.5.706
  15. World Health Organization. Physical activity and older adults: Recommended levels of physical activity for adults aged 65 and above [Internet]. Geneva, CH: Author; 2014 [cited 2014 November 1]. Available from: http://www.who.int/dietphysicalactivity/factsheet_olderadults/en/.
  16. Marquez DX, McAuley E. Social cognitive correlates of leisure time physical activity among Latinos. Journal of Behavioral Medicine. 2006;29(3):281-289. http://dx.doi.org/10.1007/s10865-006-9055-6
  17. Flay BR, Snyder F, Petraitis J. The theory of triadic influence. In: DiClemente RJ, Crosby RA, Kegler MC, editors. Emerging theories in health promotion practice and research. 2nd ed. San Francisco, CA: Jossey-Bass; 2009. p. 451-510.
  18. Chang SJ, Choi S, Kim SA, Song M. Intervention strategies based on information-motivation-behavioral skills model for health behavior change: A systematic review. Asian Nursing Research. 2014;8(3):172-181. http://dx.doi.org/10.1016/j.anr.2014.08.002
  19. Flay BR, Petraitis J. The theory of triadic influence: A new theory of health behavior with implications for preventive interventions. Advances in Medical Sociology. 1994;4:19-44.
  20. Bell CC, Bhana A, Petersen I, McKay MM, Gibbons R, Bannon W, et al. Building protective factors to offset sexually risky behaviors among black youths: A randomized control trial. Journal of the National Medical Association. 2008;100(8):936-944. https://doi.org/10.1016/S0027-9684(15)31408-5
  21. Flay BR, Graumlich S, Segawa E, Burns JL, Holliday MY. Effects of 2 prevention programs on high-risk behaviors among African American youth: A randomized trial. Archives of Pediatrics and Adolescent Medicine. 2004;158(4):377-384. http://dx.doi.org/10.1001/archpedi.158.4.377
  22. Stevens J. Applied multivariate statistics for the social sciences. 3rd ed. Mahwah, NJ: Lawrence Erlbaum Associates; 1996.
  23. Francis JJ, Eccles MP, Johnston M, Walker A, Grimshaw J, Foy R, et al. Constructing questionnaires based on the theory of planned behavior: A manual for health services researchers. Centre for health services research: Quality of life and management of living resources. Newcastle upon Tyne, UK: University of Newcastle; 2004.
  24. Resnick B, Jenkins LS. Testing the reliability and validity of the selfefficacy for exercise scale. Nursing Research. 2000;49(3):154-159. https://doi.org/10.1097/00006199-200005000-00007
  25. Hagger MS, Chatzisarantis N, Biddle SJ. The influence of self-efficacy and past behaviour on the physical activity intentions of young people. Journal of Sports Sciences. 2001;19(9):711-725. http://dx.doi.org/10.1080/02640410152475847
  26. Washburn RA, Smith KW, Jette AM, Janney CA. The physical activity scale for the elderly (PASE): Development and evaluation. Journal of Clinical Epidemiology. 1993;46(2):153-162. https://doi.org/10.1016/0895-4356(93)90053-4
  27. Choe MA, Kim J, Jeon MY, Chae YR. Evaluation of the Korean version of physical activity scale for the elderly (K-PASE). Korean Journal of Women Health Nursing. 2010;16(1):47-59. http://dx.doi.org/10.4069/kjwhn.2010.16.1.47
  28. Logan SL, Gottlieb BH, Maitland SB, Meegan D, Spriet LL. The physical activity scale for the elderly (PASE) questionnaire; Does it predict physical health? International Journal of Environmental Research and Public Health. 2013;10(9):3967-3986. http://dx.doi.org/10.3390/ijerph10093967
  29. Bolszak S, Casartelli NC, Impellizzeri FM, Maffiuletti NA. Validity and reproducibility of the physical activity scale for the elderly (PASE) questionnaire for the measurement of the physical activity level in patients after total knee arthroplasty. BMC Musculoskeletal Disorders. 2014;15:46. http://dx.doi.org/10.1186/1471-2474-15-46
  30. Stiggelbout M, Hopman-Rock M, Crone M, Lechner L, van Mechelen W. Predicting older adults' maintenance in exercise participation using an integrated social psychological model. Health Education Research. 2006;21(1):1-14. http://dx.doi.org/10.1093/her/cyh037
  31. Maibach E, Murphy DA. Self-efficacy in health promotion research and practice: Conceptualization and measurement. Health Education Research. 1995;10(1):37-50. http://dx.doi.org/10.1093/her/10.1.37

Cited by

  1. Regional Differences in Fall-Related Physical Fitness of the Elderly between Seoul, Korea and Gifu, Japan vol.238, pp.3, 2015, https://doi.org/10.1620/tjem.238.247
  2. 전라도에 거주하는 여자노인의 당화혈색소 수준에 따른 건강위험인자의 비교분석 - 생화학적 요인, 식습관 및 영양상태 - vol.29, pp.3, 2015, https://doi.org/10.9799/ksfan.2016.29.3.392
  3. Factors Affecting the Physical Activity of Older Adults in the Community vol.19, pp.2, 2017, https://doi.org/10.17079/jkgn.2017.19.2.154
  4. 대학생을 위한 블렌디드 러닝 기법의 성 교육 프로그램 개발 및 효과 vol.24, pp.4, 2015, https://doi.org/10.4094/chnr.2018.24.4.443
  5. Factors Affecting Self-Care Behavior Levels among Elderly Patients with Type 2 Diabetes: A Quantile Regression Approach vol.55, pp.7, 2015, https://doi.org/10.3390/medicina55070340
  6. Factors influencing disordered eating behavior based on the theory of triadic influence vol.55, pp.3, 2015, https://doi.org/10.1111/ppc.12308
  7. 지역 특성과 친구의 흡연이 청소년의 습관적 흡연 시작에 미치는 영향 vol.51, pp.1, 2015, https://doi.org/10.4040/jkan.20212