The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Factors Influencing Disease Self-Management Among Veterans with Diabetes and Poor Glycemic Control
Open accessAbstract
Specific aim Although the Department of Veterans Affairs (VA) has made significant organizational changes to improve diabetes care, diabetes self-management has received limited attention. The purpose of this study is to assess factors influencing diabetes self-management among veterans with poorly controlled diabetes.Methods Surveys were mailed to patients with type 2 diabetes and a HbA1c of 8% or greater who attended 1 of 2 VA Medical Centers in Washington State (n = 1,286). Validated survey instruments assessed readiness to change, self-efficacy, provider advice, and diabetes self-care practices.Results Our response rate was 56% (n = 717). Most respondents reported appropriate advice from physicians regarding physical activity, nutrition, and glucose monitoring (73%, 92%, and 98%, respectively), but many were not ready to change self-management behaviors. Forty-five percent reported non-adherence to medications, 42% ate a high-fat diet, and only 28% obtained either moderate or vigorous physical activity. The mean self-efficacy score for diabetes self-care was low and half of the sample reported readiness to change nutrition (52%) or physical activity (51%). Individuals with higher self-efficacy scores were more likely to adhere to medications, follow a diabetic meal plan, eat a lower fat diet, have higher levels of physical activity, and monitor their blood sugars (P < .001 for all).Conclusions Although veterans with poor diabetes control receive appropriate medical advice, many were not sufficiently confident or motivated to make and maintain self-management changes. Targeted patient-centered interventions may need to emphasize increasing self-efficacy and readiness to change to further improve VA diabetes outcomes.
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Cites
Self-efficacy: Toward a unifying theory of behavioral change
Bandura, A. (1977) · Psychological Review · doi:10.1037/0033-295x.84.2.191 · Cited by 43,925
SF-36 health survey: Manual and interpretation guide
Ware, J. (2003) · Medical Entomology and Zoology · Cited by 11,424
Self-efficacy: Toward a unifying theory of behavioral change
Bandura, A. (1978) · Advances in Behaviour Research and Therapy · doi:10.1016/0146-6402(78)90002-4 · Cited by 10,586
‘Small Changes' to Diet and Physical Activity Behaviors for Weight Management
Hills, A. P., Byrne, N. M., Lindstrom, R. C., & Hill, J. O. (2013) · Obesity Facts · doi:10.1159/000345030 · Cited by 9,526
The Transtheoretical Model of Health Behavior Change.
Prochaska, J. O., & Velicer, W. F. (1997) · American Journal of Health Promotion · doi:10.4278/0890-1171-12.1.38 · Cited by 7,782
Patient Self-management of Chronic Disease in Primary Care
Bodenheimer, T. (2002) · JAMA · doi:10.1001/jama.288.19.2469 · Cited by 3,598
The physical activity scale for the elderly (PASE): Development and evaluation
Washburn, R. A., Smith, K. W., Jette, A. M., & Janney, C. A. (1993) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(93)90053-4 · Cited by 3,256
The summary of diabetes self-care activities measure: results from 7 studies and a revised scale.
Toobert, D. J., Hampson, S. E., & Glasgow, R. E. (2000) · Diabetes Care · doi:10.2337/diacare.23.7.943 · Cited by 2,561
Effectiveness of Self-Management Training in Type 2 Diabetes
Norris, S. L., Engelgau, M. M., & Venkat Narayan, K. M. (2001) · Diabetes Care · doi:10.2337/diacare.24.3.561 · Cited by 1,846
Depression and Diabetes: Impact of Depressive Symptoms on Adherence, Function, and Costs
Ciechanowski, P. S., Katon, W. J., & Russo, J. E. (2000) · Archives of Internal Medicine · doi:10.1001/archinte.160.21.3278 · Cited by 1,465
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Hamson, K. (2018) · Practice Nursing · doi:10.12968/pnur.2018.29.sup3.s9
Rabiei, L., Lotfizadeh, M., Abbasi, M. F., Heydarabadi, A. B., & Masoudi, R. (2018) · International journal of epidemiologic research · doi:10.15171/ijer.2018.28
Integrating Behavioral Trigger Messages into a mHealth System Design for Chronic Disease Management
Sittig, S. (2017) · Digital Commons-TMC (Texas Medical Center)
Paterson, R. (2026) · Research Output (Edinburgh Napier University) · doi:10.17869/enu.1526669
Songheun, L. (2017) · Journal of the Korea Academia-Industrial cooperation Society · doi:10.5762/kais.2017.18.11.357
Relationship between self-care behaviors and glycosylated hemoglobin level in diabetic patients
Maleka, A., Khosravi, S., Charkazi, A., Pahlavanzaded, B., Khosravi, Z., & Khosravi, M. (2021) · DOAJ (DOAJ: Directory of Open Access Journals)
(2008) · Current Opinion in Endocrinology Diabetes and Obesity · doi:10.1097/med.0b013e3282fba8b4
Hirsch, J. K., Britton, P. C., Schuver, T., Cudjoe, N., Ahuja, M., Pons-Junkins, A. T., Shoham, D. A., Schafer, K. M., & Mamudu, H. M. (2025) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-025-01615-x
Gray, K. E., Benson, S. K., Robustelli, B. L., Perez, L., Taylor, L., Nelson, K. M., & Hoerster, K. D. (2026) · Contemporary Clinical Trials · doi:10.1016/j.cct.2026.108309
Self-citationThe Role of Emotional Well-Being in Diabetes Prevention and Management
Qin, W., Allen, J. O., Mannor, K., Rodríguez-Putnam, A., Kalesnikava, V. A., & Mezuk, B. R. (2026) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-061824-063618
Ackermann, L. J., Wirth, B., Brändle, M., & Kowatsch, T. (2026) · doi:10.2196/preprints.111252
Navigating the Third Space: Military Veterans in Higher Education
Taylor, W. N. (2026) · Emerald Group Publishing Limited eBooks · doi:10.1108/978-1-80686-331-020261013
Metadata
- Authors
- Nelson, K. M., McFarland, L., & Reiber, G.
- Affiliations
- VA Puget Sound Health Care System (US)
- University of Washington (US)
- Corresponding author
- Nelson, Karin M.
- Venue
- Journal of General Internal Medicine
- Published
- 2007-02-17
- Volume
- 22
- Issue
- 4
- Pages
- 442-447
- ISSN
- 0884-8734 (ISSN-L)
- 1525-1497
- PMC
- PMC1829424
- OpenAlex
- W1987728046
- Cited by
- 112
- References
- 54
- Citations by year
- 2026: 5 · 2025: 2 · 2024: 1 · 2023: 2 · 2022: 2 · 2021: 4 · 2020: 5 · 2019: 3 · 2018: 6 · 2017: 10 · 2016: 4 · 2015: 8 · 2014: 8 · 2013: 13 · 2012: 12
- FWCI
- 4.38
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of General Internal Medicine (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. Department of Veterans Affairs
- Health Services Research and Development
- Quality Enhancement Research Initiative
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
- Keywords
- diabetes self-management, veterans, type 2 diabetes, glycemic control, HbA1c, self-efficacy, readiness to change, medication adherence, physical activity, dietary fat intake, blood glucose monitoring, patient-centered interventions, Department of Veterans Affairs
- MeSH terms
- Adult, Aged, Data Collection, Diabetes Mellitus, Type 2, Female, Humans, Male, Middle Aged, Self Care, Veterans, Disease Management, Self Efficacy, Glycemic Index
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