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Predictors of Sustained Walking among Diabetes Patients in Managed Care: The Translating Research into Action for Diabetes (TRIAD) Study

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Abstract

BACKGROUND

Although patients with diabetes may benefit from physical activity, few studies have examined sustained walking in this population.

OBJECTIVE

To examine the factors associated with sustained walking among managed care patients with diabetes.

DESIGN

Longitudinal, observational cohort study with questionnaires administered 2.5 years apart.

PARTICIPANTS

Five thousand nine hundred thirty-five patients with diabetes walking at least 20 minutes/day at baseline.

MEASUREMENTS

The primary outcome was the likelihood of sustained walking, defined as walking at least 20 minutes/day at follow-up. We evaluated a logistic regression model that included demographic, clinical, and neighborhood variables as independent predictors of sustained walking, and expressed the results as predicted percentages.

RESULTS

The absence of pain was linked to walking behavior, as 62% of patients with new pain, 67% with ongoing pain, and 70% without pain were still walking at follow-up (p = .03). Obese patients were less likely (65%) to sustain walking than overweight (71%) or normal weight (70%) patients (p = .03). Patients ≥65 years (63%) were less likely to sustain walking than patients between 45 and 64 (70%) or ≤44 (73%) years (p = .04). Only 62% of patients with a new comorbidity sustained walking compared with 68% of those who did not (p < .001). We found no association between any neighborhood variables and sustained walking in this cohort of active walkers.

CONCLUSIONS

Pain, obesity, and new comorbidities were moderately associated with decreases in sustained walking. Whereas controlled intervention studies are needed, prevention, or treatment of these adverse conditions may help patients with diabetes sustain walking behavior.

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References

  1. Tanasescu M, Leitzmann MF, Rimm EB, Hu FB. Physical activity in relation to cardiovascular disease and total mortality among men with type 2 diabetes. Circulation. 2003;107:2435–9.

    Article  PubMed  Google Scholar 

  2. Hu FB, Stampfer MJ, Solomon C, et al. Physical activity and risk for cardiovascular events in diabetic women. Ann Intern Med. 2001;134:96–105.

    PubMed  CAS  Google Scholar 

  3. Hu G, Eriksson J, Barengo NC, et al. Occupational, commuting, and leisure-time physical activity in relation to total and cardiovascular mortality among Finnish subjects with type 2 diabetes. Circulation. 2004;110:666–73.

    Article  PubMed  Google Scholar 

  4. Batty GD, Shipley MJ, Marmot M, Smith GD. Physical activity and cause-specific mortality in men with Type 2 diabetes/impaired glucose tolerance: evidence from the Whitehall study. Diabet Med. 2002;19:580–8.

    Article  PubMed  CAS  Google Scholar 

  5. Gregg EW, Gerzoff RB, Caspersen CJ, Williamson DF, Narayan KM. Relationship of walking to mortality among US adults with diabetes. Arch Intern Med. 2003;163:1440–7.

    Article  PubMed  Google Scholar 

  6. Wei M, Gibbons LW, Kampert JB, Nichaman MZ, Blair SN. Low cardiorespiratory fitness and physical inactivity as predictors of mortality in men with type 2 diabetes. Ann Intern Med. 2000;132:605–11.

    PubMed  CAS  Google Scholar 

  7. Irwin ML, Yasui Y, Ulrich CM, et al. Effect of exercise on total and intra-abdominal body fat in postmenopausal women: a randomized controlled trial. JAMA. 2003;289:323–30.

    Article  PubMed  Google Scholar 

  8. Slentz CA, Aiken LB, Houmard JA, et al. Inactivity, exercise, and visceral fat. STRRIDE: a randomized, controlled study of exercise intensity and amount. J Appl Physiol. 2005;99:1613–8.

    Article  PubMed  Google Scholar 

  9. Fox CS, Massaro JM, Hoffmann U, et al. Abdominal visceral and subcutaneous fat compartments: Association with metabolic risk factors in the Framingham Heart Study. Circulation. 2007;116:39–48.

    Article  PubMed  Google Scholar 

  10. United States Preventive Services Task Force. Behavioral counseling in primary care to promote physical activity: recommendation and rationale. Ann Intern Med. 2002;137:205–7.

    Google Scholar 

  11. Writing Group for the Activity Counseling Trial Research Group. Effects of physical activity counseling in primary care: the Activity Counseling Trial: a randomized controlled trial. JAMA. 2001;286:677–87.

    Article  Google Scholar 

  12. Dunn AL, Garcia ME, Marcus BH, Kampert JB, Kohl HW, Blair SN. Six-month physical activity and fitness changes in Project Active, a randomized trial. Med Sci Sports Exerc. 1998;30:1076–83.

    Article  PubMed  CAS  Google Scholar 

  13. Duncan GE, Anton SD, Sydeman SJ, et al. Prescribing exercise at varied levels of intensity and frequency: a randomized trial. Arch Intern Med. 2005;165:2362–9.

    Article  PubMed  Google Scholar 

  14. Simons-Morton DG, Calfas KJ, Oldenburg B, Burton NW. Effects of interventions in health care settings on physical activity or cardiorespiratory fitness. Am J Prev Med. 1998;15:413–30.

    Article  PubMed  CAS  Google Scholar 

  15. King AC, Toobert D, Ahn D, et al. Perceived environments as physical activity correlates and moderators of intervention in five studies. Am J Health Promot. 2006;21:24–35.

    PubMed  Google Scholar 

  16. Hoehner CM, Brennan Ramirez LK, Elliott MB, Handy SL, Brownson RC. Perceived and objective environmental measures and physical activity among urban adults. Am J Prev Med. 2005;28(2 Suppl 2):105–16.

    Article  PubMed  Google Scholar 

  17. Humpel N, Owen N, Iverson D, Leslie E, Bauman A. Perceived environment attributes, residential location, and walking for particular purposes. Am J Prev Med. 2004;26:119–25.

    Article  PubMed  Google Scholar 

  18. Gregg EW. The Translating Research Into Action for Diabetes (TRIAD) study: a multicenter study of diabetes in managed care. Diabetes Care. 2002;25:386–9.

    Article  Google Scholar 

  19. 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;29:1433–8.

    Article  PubMed  Google Scholar 

  20. Balfour JL, Kaplan GA. Neighborhood environment and loss of physical function in older adults: evidence from the Alameda County Study. Am J Epidemiol. 2002;155:507–15.

    Article  PubMed  Google Scholar 

  21. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16:606–13.

    Article  PubMed  CAS  Google Scholar 

  22. SAS system for Windows [computer program]. Version 8.2. Cary, NC: SAS Institute; 2001.

  23. IVEware [computer program]. Version 2.0. Ann Arbor, MI. Survey Research Center, Institute for Social Research, University of Michigan; 2002.

  24. Rubin DB, Schenker N. Multiple imputation in health-care databases: an overview and some applications. Stat Med. 1991;10:585–98.

    Article  PubMed  CAS  Google Scholar 

  25. Nelson KM, Reiber G, Boyko EJ. Diet and exercise among adults with type 2 diabetes: findings from the third national health and nutrition examination survey (NHANES III). Diabetes Care. 2002;25:1722–8.

    Article  PubMed  Google Scholar 

  26. King AC, Rejeski WJ, Buchner DM. Physical activity interventions targeting older adults. A critical review and recommendations. Am J Prev Med. 1998;15:316–33.

    Article  PubMed  CAS  Google Scholar 

  27. Krein SL, Heisler M, Piette JD, Makki F, Kerr EA. The effect of chronic pain on diabetes patients’ self-management. Diabetes Care. 2005;28:65–70.

    Article  PubMed  Google Scholar 

  28. Chodosh J, Solomon DH, Roth CP, et al. The quality of medical care provided to vulnerable older patients with chronic pain. J Am Geriatr Soc. 2004;52:756–61.

    Article  PubMed  Google Scholar 

  29. Watkins E, Wollan PC, Melton LJ 3rd, Yawn BP. Silent pain sufferers. Mayo Clin Proc. 2006;81:167–71.

    Article  PubMed  Google Scholar 

  30. Blyth FM, March LM, Nicholas MK, Cousins MJ. Self-management of chronic pain: a population-based study. Pain. 2005;113:285–92.

    Article  PubMed  Google Scholar 

  31. Pearte CA, Gary TL, Brancati FL. Correlates of physical activity levels in a sample of urban African Americans with type 2 diabetes. Ethn Dis. 2004;14:198–205.

    PubMed  Google Scholar 

  32. Riebe D, Blissmer B, Greene G, et al. Long-term maintenance of exercise and healthy eating behaviors in overweight adults. Prev Med. 2005;40:769–78.

    Article  PubMed  Google Scholar 

  33. Mattsson E, Larsson UE, Rossner S. Is walking for exercise too exhausting for obese women? Int J Obes Relat Metab Disord. 1997;21:380–6.

    Article  PubMed  CAS  Google Scholar 

  34. UK Prospective Diabetes Study Group. Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes: UKPDS 33. Lancet. 1998;352:837–53.

    Article  Google Scholar 

  35. UK Prospective Diabetes Study Group. Tight blood pressure control and risk of macrovascular and microvascular complications in type 2 diabetes: UKPDS 38. BMJ. 1998;317:703–13.

    Google Scholar 

  36. Gaede P, Vedel P, Larsen N, Jensen GV, Parving HH, Pedersen O. Multifactorial intervention and cardiovascular disease in patients with type 2 diabetes. N Engl J Med. 2003;348:383–93.

    Article  PubMed  Google Scholar 

  37. Menard J, Payette H, Baillargeon JP, et al. Efficacy of intensive multitherapy for patients with type 2 diabetes mellitus: a randomized controlled trial. CMAJ. 2005;173:1457–66.

    PubMed  Google Scholar 

  38. Wilcox S, Dowda M, Griffin SF, et al. Results of the first year of active for life: translation of 2 evidence-based physical activity programs for older adults into community settings. Am J Public Health. 2006;96:1201–9.

    Article  PubMed  Google Scholar 

  39. Stewart AL, Gillis D, Grossman M, et al. Diffusing a research-based physical activity promotion program for seniors into diverse communities: CHAMPS III. Prev Chronic Dis. 2006;3:A51.

    PubMed  Google Scholar 

  40. Hooker SP, Seavey W, Weidmer CE, et al. The California active aging community grant program: translating science into practice to promote physical activity in older adults. Ann Behav Med. 2005;29:155–65.

    Article  PubMed  Google Scholar 

  41. Lin EH, Katon W, Von Korff M, et al. Relationship of depression and diabetes self-care, medication adherence, and preventive care. Diabetes Care. 2004;27:2154–60.

    Article  PubMed  Google Scholar 

  42. Egede LE. Diabetes, major depression, and functional disability among U.S. adults. Diabetes Care. 2004;27:421–8.

    Article  PubMed  Google Scholar 

  43. Wing RR, Phelan S, Tate D. The role of adherence in mediating the relationship between depression and health outcomes. J Psychosom Res. 2002;53:877–81.

    Article  PubMed  Google Scholar 

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Acknowledgements

This study was jointly funded by Program Announcement number 04005 from the Centers for Disease Control and Prevention (Division of Diabetes Translation) and the National Institute of Diabetes and Digestive and Kidney Diseases. The findings and conclusions of this study are those of the authors and do not necessarily represent the official views of the Centers for Disease Control and Prevention or the National Institute of Diabetes and Digestive and Kidney Diseases.

Dr. Mangione received support from the University of California, Los Angeles, Center for Health Improvement of Minority Elderly/Resource Centers for Minority Aging Research, NIH/NIA, under grant P30AG021684.

Drs. Mangione and Duru received support from UCLA/Drew Project EXPORT, National Institutes of Health, National Center on Minority Health & Health Disparities (P20MD000148/P20MD000182).

Significant contributions to this study were made by members of the Translating Research into Action for Diabetes (TRIAD) Study Group.

The authors acknowledge the participation of our health plan partners.

Conflict of Interest

None disclosed.

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Correspondence to O. Kenrik Duru MD.

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Duru, O.K., Gerzoff, R.B., Brown, A.F. et al. Predictors of Sustained Walking among Diabetes Patients in Managed Care: The Translating Research into Action for Diabetes (TRIAD) Study. J GEN INTERN MED 23, 1194–1199 (2008). https://doi.org/10.1007/s11606-008-0629-6

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  • DOI: https://doi.org/10.1007/s11606-008-0629-6

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