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A Novel Intervention Including Individualized Nutritional Recommendations Reduces Hemoglobin A1c Level, Medication Use, and Weight in Type 2 Diabetes
Open accessAbstract
BACKGROUND: Type 2 diabetes (T2D) is typically managed with a reduced fat diet plus glucose-lowering medications, the latter often promoting weight gain. OBJECTIVE: We evaluated whether individuals with T2D could be taught by either on-site group or remote means to sustain adequate carbohydrate restriction to achieve nutritional ketosis as part of a comprehensive intervention, thereby improving glycemic control, decreasing medication use, and allowing clinically relevant weight loss. METHODS: ) and related biomarkers of T2D were evaluated at baseline and 10-week follow-up. RESULTS: =1.503, P=.22). CONCLUSIONS: These initial results indicate that an individualized program delivered and supported remotely that incorporates nutritional ketosis can be highly effective in improving glycemic control and weight loss in adults with T2D while significantly decreasing medication use.
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“Even the presence or absence of additional devices (such as connected weight scales [46] or accelerometers [25,34]) did not appear to make a difference.”
From Digital Interventions for Self-Management of Type 2 Diabetes Mellitus: Systematic Literature Review and Meta-Analysis (2024) · cites this paper as [46]
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“This study demonstrated that a T2D intervention combining technology-enabled continuous remote care with individualized care plans encouraging nutritional ketosis can significantly reduce HbA1c, medication use, and weight within 70 days [23], and that these outcomes can be maintained or improved through 1 year.”
From Effectiveness and Safety of a Novel Care Model for the Management of Type 2 Diabetes at 1 Year: An Open-Label, Non-Randomized, Controlled Study (2018) · cites this paper as [23]
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Metadata
- Authors
- McKenzie, A. L., Hallberg, S. J., Creighton, B. C., Volk, B. M., Link, T. M., Abner, M. K., Glon, R. M., McCarter, J. P., Volek, J. S., & Phinney, S. D.
- Affiliations
- Indiana University Health (US)
- Corresponding author
- Phinney, Stephen D
- ORCID
- Venue
- JMIR Diabetes
- Publisher
- JMIR Publications Inc.
- Published
- 2017-03-07
- Volume
- 2
- Issue
- 1
- Pages
- e5
- ISSN
- 2371-4379 (ISSN-L)
- PMC
- PMC6238887
- OpenAlex
- W2593555386
- Cited by
- 176
- References
- 42
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 33 · 2023: 14 · 2022: 23 · 2021: 25 · 2020: 23 · 2019: 19 · 2018: 19 · 2017: 5
- FWCI
- 13.36
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- JMIR Diabetes (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology (medical) › Diet and metabolism studies
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Physiology (medical) › Dietary Effects on Health
- Keywords
- type 2 diabetes, nutritional ketosis, carbohydrate restriction, glycemic control, HbA1c, weight loss, medication reduction, remote intervention, group intervention, diabetes self-management
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.
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