Effects of nutrition therapy on HbA1c and cardiovascular disease risk factors in overweight and obese patients with type 2 diabetes
Open accessAbstract
BACKGROUND: Nutrition Therapy (NT) is essential in type 2 diabetes (T2D) management. Standards of care recommend that each patient engages with a nutritionist (RDN) to develop an individualized eating plan. However, it is unclear if it is the most efficient method of NT. This study evaluates the effects of three different methods of NT on HbA1c and cardiovascular disease risk factors in overweight and obese patients with T2D. METHODS: ) into three groups. Group A met with RDN to develop an individualized eating plan. Group B met with RDN and followed a structured meal plan. Group C did similar to group B and received weekly phone support by RDN. RESULTS: After 16 weeks, all three groups had a significant reduction of their energy intake compared to baseline. HbA1c did not change from baseline in group A, but decreased significantly in groups B (- 0.66%, 95% CI -1.03 to - 0.30) and C (- 0.61%, 95% CI -1.0 to - 0.23) (p value for difference among groups over time < 0.001). Groups B and C also had significant reductions in body weight, body fat percentage and waist circumference. CONCLUSION: Structured NT alone improves glycemia in comparison to individualized eating plans in overweight and obese patients with T2D. It also reduces other important cardiovascular disease risk factors like body fat percentage and waist circumference. TRIAL REGISTRATION: The trial was retrospectively registered at clinicaltrials.gov( NCT02520050 ).
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A variety of eating plans, varying in macronutrient composition, can be used effectively and safely in the short term (1-2 years) to achieve weight loss in people with diabetes.
“Studies have demonstrated that a variety of eating plans, varying in macronutrient composition, can be used effectively and safely in the short term (1-2 years) to achieve weight loss in people with diabetes.”
From 5. Facilitating Positive Health Behaviors and Well-being to Improve Health Outcomes:<i>Standards of Care in Diabetes—2023</i> (2023) · cites this paper as [119]
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- Authors
- Mottalib, A., Salsberg, V., Mohd-Yusof, B.-N., Mohamed, W., Carolan, P., Pober, D. M., Mitri, J., & Hamdy, O.
- Affiliations
- Joslin Diabetes Center (US)
- Corresponding author
- Mottalib, Adham
- Venue
- Nutrition Journal
- Published
- 2018-04-07
- Volume
- 17
- Issue
- 1
- Pages
- 42-42
- ISSN
- 1475-2891 (ISSN-L)
- PMC
- PMC5889846
- OpenAlex
- W2796834847
- Cited by
- 62
- References
- 28
- Citations by year
- 2026: 1 · 2025: 6 · 2024: 10 · 2023: 8 · 2022: 13 · 2021: 6 · 2020: 13 · 2019: 3 · 2018: 2
- FWCI
- 4.78
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Nutrition Journal (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Metagenics Inc
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- nutritional therapy, type 2 diabetes, HbA1c, glycemic control, cardiovascular risk factors, overweight, obesity, registered dietitians, telephone support, energy intake, body weight, waist circumference, body fat percentage
- MeSH terms
- Aged, Behavior Therapy, Body Composition, Cardiovascular Diseases, Counseling, Diabetes Mellitus, Type 2, Diet, Reducing, Female, Glycated Hemoglobin, Humans, Life Style, Male, Middle Aged, Obesity, Risk Factors, Body Mass Index, Treatment Outcome, Nutrition Therapy, Overweight, Waist Circumference, Meals, Nutritionists
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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