The effect of a cinnamon-, chromium- and magnesium-formulated honey on glycaemic control, weight loss and lipid parameters in type 2 diabetes: An open-label cross-over randomised controlled trial
Abstract
Purpose This randomised controlled trial assessed the acute and long-term effects of daily supplementation of kanuka honey, formulated with cinnamon, chromium and magnesium on glucose metabolism, weight and lipid parameters in individuals with type 2 diabetes. Methods Twelve individuals with type 2 diabetes received 53.5 g of a formulated honey and a control (non-formulated) kanuka honey in a random order for 40 days, using cross-over design. Fasting glucose, insulin, HbA1c, lipids and anthropometric measures were measured at baseline and end of treatment. A meal tolerance test was performed at baseline to assess acute metabolic response. Results There was no statistically significant difference in acute glucose metabolism between treatment groups, as measured by the Matsuda index and AUC for glucose and insulin. After the 40-day intervention with honey, fasting glucose did not differ significantly between the two treatments (95 % CI -2.6 to 0.07). There was no statistically significant change in HbA1c or fasting insulin. There was a statistically significant reduction in total cholesterol by -0.29 mmol/L (95 % CI -0.57 to -0.23), LDL cholesterol by -0.29 mmol/L (95 % CI -0.57 to -0.23) and weight by -2.2 kg (95 % CI -4.2 to -0.1). There was a trend towards increased HDL and reduced systolic blood pressure in the intervention treatment. Conclusion The addition of cinnamon, chromium and magnesium supplementation to kanuka honey was not associated with a significant improvement in glucose metabolism or glycaemic control in individuals with type 2 diabetes. Use of the formulated honey was associated with a reduction in weight and improvements in lipid parameters, and should be investigated further.
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Results from 6 RCTs did not find a difference in blood glucose or insulin levels after cinnamon consumption.
“Results from 6 RCTs did not find a difference in blood glucose or insulin levels after cinnamon consumption [368,377,378,379,380,381,382].”
From Effects of diet, lifestyle, Chrononutrition and alternative dietary interventions on postprandial Glycemia and insulin resistance (2022) · cites this paper as [378]
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- Authors
- Whitfield, P., Parry-Strong, A., Walsh, E., Weatherall, M., & Krebs, J. D.
- Affiliations
- Wellington Hospital (NZ)
- University of Otago (NZ)
- Corresponding author
- Whitfield, Patricia
- Venue
- European Journal of Nutrition
- Published
- 2015-05-19
- Volume
- 55
- Issue
- 3
- Pages
- 1123-1131
- ISSN
- 1436-6207 (ISSN-L)
- 1436-6215
- OpenAlex
- W276273251
- Cited by
- 51
- References
- 45
- Citations by year
- 2025: 2 · 2024: 7 · 2022: 3 · 2021: 10 · 2020: 10 · 2019: 5 · 2018: 7 · 2017: 2 · 2016: 4 · 2015: 1
- FWCI
- 3.65
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- European Journal of Nutrition (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Natural Antidiabetic Agents Studies
- Life Sciences › Agricultural and Biological Sciences › Insect Science › Bee Products Chemical Analysis
- Health Sciences › Medicine › Epidemiology › Adipokines, Inflammation, and Metabolic Diseases
- Keywords
- type 2 diabetes, cinnamon, chromium, magnesium, functional food formulation, glycemic control, weight loss, lipid profile, fasting blood glucose, insulin sensitivity, HbA1c, LDL cholesterol, HDL cholesterol, systolic blood pressure
- MeSH terms
- Aged, Blood Glucose, Body Weight, Energy Intake, Cholesterol, Chromium, Cinnamomum zeylanicum, Diabetes Mellitus, Type 2, Female, Food, Fortified, Glycated Hemoglobin, Honey, Humans, Insulin, Magnesium, Male, Middle Aged, Weight Loss, Treatment Outcome, Cross-Over Studies
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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