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http://dx.doi.org/10.4040/jkan.2015.45.3.329

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

Jang, Sun Joo (College of Nursing, Eulji University)
Park, Hyunju (Department of Nursing, Kangwon National University)
Kim, Hyunjung (Department of Nursing, Hallym University)
Chang, Sun Ju (Department of Nursing Science, Chungbuk National University)
Publication Information
Journal of Korean Academy of Nursing / v.45, no.3, 2015 , pp. 329-336 More about this Journal
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
Aged; Diabetes mellitus Type 2; Exercise;
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Times Cited By KSCI : 4  (Citation Analysis)
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1 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.   DOI   ScienceOn
2 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.
3 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   DOI
4 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   DOI   ScienceOn
5 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.
6 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.   DOI   ScienceOn
7 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   DOI   ScienceOn
8 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   DOI   ScienceOn
9 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   DOI   ScienceOn
10 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   DOI   ScienceOn
11 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.
12 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   DOI   ScienceOn
13 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   DOI   ScienceOn
14 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.
15 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   DOI   ScienceOn
16 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/.
17 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   DOI
18 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.
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 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   DOI   ScienceOn
21 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.   DOI
22 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   DOI   ScienceOn
23 Stevens J. Applied multivariate statistics for the social sciences. 3rd ed. Mahwah, NJ: Lawrence Erlbaum Associates; 1996.
24 Resnick B, Jenkins LS. Testing the reliability and validity of the selfefficacy for exercise scale. Nursing Research. 2000;49(3):154-159.   DOI
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   DOI   ScienceOn
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.   DOI   ScienceOn
27 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   DOI   ScienceOn
28 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   DOI   ScienceOn
29 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   DOI
30 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   DOI   ScienceOn
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   DOI   ScienceOn