Barriers to following dietary recommendations in type 2 diabetes
Open accessAbstract
Aims To evaluate barriers to following dietary recommendations in patients with Type 2 diabetes. Methods We conducted focus groups and surveys in urban and suburban VA and academic medical centres. For the written survey, a self‐administered questionnaire was mailed to a random sample of 446 patients with diabetes. For the focus groups, six groups of patients with diabetes (three urban, three suburban) were conducted, with 6–12 participants in each group. The focus groups explored barriers across various types of diabetes self‐management; we extracted all comments relevant to barriers that limited patients’ ability to follow a recommended diet. Results The written survey measured the burden of diabetes therapies (on a seven‐point rating scale). Moderate diet was seen as a greater burden than oral agents (median 1 vs. 0, P = 0.001), but less of a burden than insulin (median 1 vs. 4, P < 0.001). A strict diet aimed at weight loss was rated as being similarly burdensome to insulin (median 4 vs. 4, P = NS). Despite this, self‐reported adherence was much higher for both pills and insulin than it was for a moderate diet. In the focus groups, the most commonly identified barrier was the cost (14/14 reviews), followed by small portion sizes (13/14 reviews), support and family issues (13/14 reviews), and quality of life and lifestyle issues (12/14 reviews). Patients in the urban site, who were predominantly African‐American, noted greater difficulties communicating with their provider about diet and social circumstances, and also that the rigid schedule of a diabetes diet was problematic. Conclusions Barriers to adherence to dietary therapies are numerous, but some, such as cost, and in the urban setting, communication with providers, are potentially remediable. Interventions aimed at improving patients’ ability to modify their diet need to specifically address these areas. Furthermore, treatment guidelines need to consider patients’ preferences and barriers when setting goals for treatment.
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Many studies have reported that individuals with type 2 diabetes suffer from disease-related barriers to exercise adoption and diet modulation.
“Further, many studies have reported that individuals withT2D suffer from disease‐related barriers to exercise adoption and diet modulation (Vijan 2005; Wahl 2018).”
From Mindfulness-based interventions for adults with type 2 diabetes mellitus (2021) · cites this paper as Vijan 2005
The Abstract and Focus groups sections report barriers that patients with type 2 diabetes faced in following dietary recommendations, including cost, portion size, and family support. The Introduction says this study focuses on prescribed diets; it mentions benefits of exercise but does not report barriers to adopting it. Thus Vijan supports the diet portion of the sentence, not the exercise portion. (LLM, conf=0.88)
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Cites
Management of Dyslipidemia in Adults With Diabetes
Haffner, S. M. (1998) · Diabetes Care · doi:10.2337/diacare.21.1.160 · Cited by 786 · see citing works
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Research works printed but not linked: 24
- American Diabetes Association. Economic consequences of diabetes mellitus in the U.S. in 1997. Diabetes Care 1998; 21: 296-309.
- Harris MI, Flegal KM, Cowie CC, Eberhardt MS, Goldstein DE, Little RR et al. Prevalence of diabetes, impaired fasting glucose, and impaired glucose tolerance in U. S. adults. The Third National Health and Nutrition Examination Survey, 1988-1994. Diabetes Care 1998; 21: 518-524.
- Vijan S, Stevens DL, Herman WH, Funnell MM, Standiford CJ. Sreening, prevention, counseling, and treatment for the complica- tions of type II diabetes mellitus: putting evidence into practice. J Gen Intern Med 1997; 12: 567-580.
- Aubert RE, Herman WH, Waters J, Moore W, Sutton D, Peterson BL et al. Nurse case management to improve glycemic control in diabetic patients in a health maintenance organization: a randomized, con- trolled trial. Ann Intern Med 1998; 129: 605-612.
- Weinberger M, Kirkman MS, Samsa GP, Shortliffe EA, Landsman PB, Cowper PA et al. A nurse-coordinated intervention for primary care patients with non-insulin-dependent diabetes mellitus: impact on glycemic control and health-related quality of life. J Gen Intern Med 1995; 10: 59-66.
- American Diabetes Association. Standards of medical care for patients with diabetes mellitus. Diabetes Care 1994; 17: 616-623.
- American Diabetes Association. Standards of medical care for patients with diabetes mellitus. Diabetes Care 1998; 21: S23-S31.
- Goodall TA, Halford WK. Self-management of diabetes mellitus: a critical review [published erratum appears in Health Psychol 1992; 11: 77]. Health Psychol 1991; 10: 1-8.
- United Kingdom Prospective Diabetes Study (UKPDS) 13. Relative efficacy of randomly allocated diet, sulphonylurea, insulin, or metformin in patients with newly diagnosed non-insulin dependent diabetes followed for three years. Br Med J 1995; 310: 83-88.
- United Kingdom Prospective Diabetes Study 24. A 6-year, randomized, controlled trial comparing sulfonylurea, insulin, and metformin therapy in patients with newly diagnosed type 2 diabetes that could not be controlled with diet therapy. United Kingdom Prospective Diabetes Study Group. Ann Intern Med 1998; 128: 165-175.
- UK Prospective Diabetes Study (UKPDS) Group. Intensive blood- glucose control with sulphonylureas or insulin compared with con- ventional treatment and risk of complications in patients with type 2 diabetes (UKPDS 33). Lancet 1998; 352: 837-853.
- Barnard RJ, Jung T, Inkeles SB. Diet and exercise in the treatment of NIDDM. The need for early emphasis. Diabetes Care 1994; 17: 1469-1472.
- Garcia MJ, McNamara PM, Gordon T, Kannel WB. Morbidity and mortality in diabetics in the Framingham population. Sixteen year follow-up study. Diabetes 1974; 23: 105-111.
- Fuller JH, Shipley MJ, Rose G, Jarrett RJ, Keen H. Mortality from coronary heart disease and stroke in relation to degree of glycaemia: the Whitehall study. Br Med J (Clin Res Ed) 1983; 287: 867-870.
- Metz JA, Stern JS, Kris-Etherton P, Reusser ME, Morris CD, Hatton DC et al. A randomized trial of improved weight loss with a prepared meal plan in overweight and obese patients: impact on cardiovascular risk reduction. Arch Intern Med 2000; 160: 2150 - 2158.
- Pogach LM, Hawley G, Weinstock R, Sawin C, Schiebe H, Cutler F et al. Diabetes prevalence and hospital and pharmacy use in the Vet- erans Health Administration (1994). Use of an ambulatory care pharmacy-derived database. Diabetes Care 1998; 21: 368-373.
- Krein SL, Hayward RA, Pogach L, BootsMiller BJ. Department of Veterans Affairs' Quality Enhancement Research Initiative for Diabetes Mellitus. Medical Care 2000; 38: I38-I48.
- Hayward RA, Manning WG, Kaplan SH, Wagner EH, Greenfield S. Starting insulin therapy in patients with type 2 diabetes: effectiveness, complications, and resource utilization. JAMA 1997; 278: 1663- 1669.
- Huber PJ. The behavior of maximum likelihood estimates under non- standard conditions. In Anonymous Proceedings of the Fifith Berke- ley Symposium in Mathematical Statistics and Probability. Berkeley, CA: University of California Press, 1967; 221-233.
- MacKinnon JG, White H. Some heteroskedasticity consistent covar- iance matrix estimators with improved finite sample properties. J Econometrics 1985; 29: 305-325.
- Krueger RA. Focus Groups: a Practical Guide for Applied Research, 1st edn. Newbury Park: SAGE Publications, 1988; 27.
- Harris MI. Epidemiological correlates of NIDDM in Hispanics, whites, and blacks in the U.S. population. Diabetes Care 1991; 14: 639-648.
- Haffner SM. Epidemiology of type 2 diabetes: risk factors. Diabetes Care 1998; 21: C3-6.
- Chaturvedi N, Stephenson JM, Fuller JH. The relationship between socioeconomic status and diabetes control and complications in the EURODIAB IDDM Complications Study. Diabetes Care 1996; 19: 423 -430.
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- Authors
- Vijan, S., Stuart, N. S., Fitzgerald, J. T., Ronis, D. L., Hayward, R. A., Slater, S., & Hofer, T. P.
- Affiliations
- University of Michigan (US)
- Corresponding author
- Vijan, S.
- Venue
- Diabetic Medicine
- Publisher
- Wiley
- Published
- 2004-12-02
- Volume
- 22
- Issue
- 1
- Pages
- 32-38
- ISSN
- 0742-3071 (ISSN-L)
- 1464-5491
- OpenAlex
- W2153626252
- Cited by
- 195
- References
- 1
- Citations by year
- 2026: 2 · 2025: 3 · 2024: 9 · 2023: 8 · 2022: 8 · 2021: 9 · 2020: 12 · 2019: 6 · 2018: 11 · 2017: 10 · 2016: 12 · 2015: 12 · 2014: 17 · 2013: 16 · 2012: 10
- FWCI
- 2.75
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetic Medicine (publishedVersion)
- PubMed (publishedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- Funders
- U.S. Department of Veterans Affairs
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Family Practice › Medication Adherence and Compliance
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- type 2 diabetes, dietary recommendations, dietary adherence, diabetes self-management, portion size, family support, quality of life, provider communication, African American patients, insulin, oral antidiabetic drugs, weight loss diet
- MeSH terms
- Diabetes Mellitus, Type 2, Female, Health Surveys, Humans, Male, Middle Aged, Patient Compliance, Self Care, Urban Health, Focus Groups, Suburban Health
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