Consuming snacks mid-afternoon compared with just after lunch improves mean amplitude of glycaemic excursions in patients with type 2 diabetes: A randomized crossover clinical trial
Abstract
Aims Our aim was to explore the acute effects of consuming snacks at different times on glucose excursions in patients with type 2 diabetes (T2D). Methods Seventeen patients with T2D [means±SD: age 67.4±9.4-years; BMI 23.5±3.1kg/m 2; HbA 1c 55±6mmol/mol (7.2±1.0%)] were randomly assigned in this crossover study. Each participant wore a continuous glucose monitoring device for 4 days and consumed identical test meals on the second and third days, comprising breakfast at 0700h, lunch at 1200h and dinner at 1900h. Half the participants consumed 75kcal biscuits at 1230h (just after lunch) on the second day and at 1530h (mid-afternoon) on the third day, while the other half consumed snacks at the same times, but vice versa. Each patient's glucose parameters were compared against baseline for the 2days of snacking at different times of day. Results Consuming snacks in the mid-afternoon led to significantly lower mean amplitudes of glycaemic excursions (mean±SEM: 5.19±0.48 vs. 6.90±0.69mmol/L, P<0.01; standard deviation: 1.75±0.17 vs. 2.16±0.21mmol/L, P<0.01) and incremental areas under the curve for glucose after dinner (479±76 vs. 663±104mmol/L per min, P<0.01) compared with snacking just after lunch, whereas mean glucose levels did not differ over the 2days. Conclusion These results suggest that consuming snacks well separated from lunch may be an effective way to suppress postprandial glucose levels and glycaemic excursions.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Consuming a snack in the afternoon, but not right after lunch, improves the mean amplitude of glycemic excursions.
“one acute study showed that consuming a snack in the afternoon, but not right after lunch, improved the mean amplitude of glycemic excursions [313]”
From Effects of diet, lifestyle, Chrononutrition and alternative dietary interventions on postprandial Glycemia and insulin resistance (2022) · cites this paper as [313]
The citation lists haven’t been fetched yet
References 25 · Cited by 19
- Authors
- Imai, S., Kajiyama, S., Hashimoto, Y., Nitta, A., Miyawaki, T., Matsumoto, S., Ozasa, N., Tanaka, M., Kajiyama, S., & Fukui, M.
- Affiliations
- Osaka Prefecture University (JP)
- Kyoto Prefectural University of Medicine (JP)
- Kyoto Women's University (JP)
- Kyoto University (JP)
- Corresponding author
- Imai, S.
- Venue
- Diabetes & Metabolism
- Publisher
- Elsevier BV
- Published
- 2018-12
- Volume
- 44
- Issue
- 6
- Pages
- 482-487
- ISSN
- 1262-3636 (ISSN-L)
- OpenAlex
- W2884229692
- Cited by
- 19
- References
- 25
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 4 · 2023: 2 · 2022: 4 · 2021: 1 · 2020: 2 · 2018: 1
- FWCI
- 0.80
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Diabetes & Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Osaka University
- Japan Society for the Promotion of Science (16K01801)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- type 2 diabetes, snacks, glycaemic excursions, postprandial blood glucose, continuous glucose monitoring, meal timing, glycemic variability
- MeSH terms
- Aged, Blood Glucose, Diabetes Mellitus, Type 2, Eating, Female, Glycated Hemoglobin, Humans, Male, Middle Aged, Blood Glucose Self-Monitoring, Cross-Over Studies, Postprandial Period, Lunch, Snacks
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 ›
Are you an author, or do you see a problem with this page? Request a review