Cited by 66Diabetes Management and ResearchDiabetes Treatment and ManagementDiabetes, Cardiovascular Risks, and Lipoproteins

The impact of food order on postprandial glycaemic excursions in prediabetes

Open access
Shukla, Alpana P., Dickison, Morgan, Coughlin, Natasha, Karan, Ampadi, Mauer, Elizabeth, Truong, Wanda, Casper, Anthony, Emiliano, Ana B. +4 more·2019·Diabetes, Obesity and Metabolism

Abstract

Data suggest that nutrient order during a meal significantly impacts postprandial glucose and insulin excursions in type 2 diabetes, while its effects in prediabetes have not been reported. Fifteen participants with prediabetes consumed the same meal on 3 days in random order: carbohydrate first, followed 10 minutes later by protein and vegetables (CF); protein and vegetables first, followed 10 minutes later by carbohydrate (PVF); or vegetables first followed by protein and carbohydrate (VF). Blood was sampled for glucose and insulin measurements at 0, 30, 60, 90, 120, 150 and 180 minutes. Incremental glucose peaks were similarly attenuated by >40% in the PVF and VF meal conditions compared with CF. The incremental area under the curve for glucose was 38.8% lower following the PVF meal order, compared with CF, and postprandial insulin excursions were significantly lower in the VF meal condition compared with CF. The CF meal pattern showed marked glycaemic variability whereas glucose levels were stable in the PVF and VF meal conditions. Food order presents a novel, simple behavioural strategy to reduce glycaemic excursions in prediabetes.

Integrity signals

Registry

Crossref · 10.1111/dom.13503

Cites

13 of 13 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

6 of 7 cited sources checked · 5 supported · 0 flagged · accuracy not yet measured

  • Premisecitation

    In a prior crossover study of metformin-treated type 2 diabetes patients, eating protein and vegetables before carbohydrate lowered postprandial glucose excursions over 180 minutes compared with the reverse order.

    “In a previous crossover study of metformin-treated subjects with T2DM, we demonstrated that ingestion of protein plus vegetables before carbohydrate led to lower postprandial glucose excursions over 180 min, compared to eating the same foods in the reverse order (13).”
    Quote in the paperSubstantial claim1 of 1 sources checked
  • Premisecitation

    In type 2 diabetes, the order in which nutrients are eaten during a meal has a significant effect on postprandial glucose and insulin excursions.

    “Data suggest that nutrient order during a meal significantly impacts postprandial glucose and insulin excursions in type 2 diabetes, while its’ effects in prediabetes have not been reported.”
    • Also stated in: § Introduction · plain
      “Sequential nutrient ingestion is a novel strategy to attenuate the glycemic effect of a meal researched by our group and others in patients with type 2 diabetes (11–14).”
    Quote in the paperSubstantial claim4 of 4 sources checked
    • cites [11] source
    • cites [12] source
      Experimental — accuracy not yet measured
    • cites [13] source
      Experimental — accuracy not yet measured
    • cites [14] source

      The Results (Glucose control variables; page unavailable) report significant reductions in postprandial glucose excursions with the food-order intervention in patients with type 2 diabetes. The Study design describes glucose monitoring but not insulin measurement; the Introduction discusses insulin secretion in relation to earlier preload studies. This paper therefore does not establish a significant effect of its meal-order intervention on postprandial insulin excursions. (LLM, conf=0.88)

      Experimental — accuracy not yet measured
  • Premisecitation

    In that prior study, the carbohydrate-last pattern produced a lower insulin response than carbohydrate-first.

    “Furthermore, we showed that the carbohydrate-last meal pattern stimulated a lower insulin response compared to consuming carbohydrate first.”
    Quote in the paperSubstantial claim1 of 1 sources checked
  • Findingown data

    The glucose iAUC0-180 was 38.8% lower after PVF than after CF (114.9±22.87 vs 187.8±30.79 mmol/L×180 min, p=0.008).

    “Postprandial glucose levels were significantly decreased at 30 and 60 min (Figure 1), respectively, and the iAUC0–180 was 38.8% lower (114.9±22.87 vs 187.8±30.79 mmol/L×180 min, p=0.008) following the PVF meal order, compared with CF, the reverse meal order.”
    Quote in the paperSubstantial claim
  • Findingown data

    Postprandial glucose levels were significantly lower at 30 and 60 minutes after the PVF meal order compared with CF.

    “Postprandial glucose levels were significantly decreased at 30 and 60 min (Figure 1), respectively, and the iAUC0–180 was 38.8% lower (114.9±22.87 vs 187.8±30.79 mmol/L×180 min, p=0.008) following the PVF meal order, compared with CF, the reverse meal order.”
    Quote in the paperSubstantial claim
  • May combine two claims. 9
  • Classified as probably not a substantial claim. 10
  • The quote only partly states this claim. 1
  • May combine two claims.

    Findingown data

    The incremental glucose peak and glucose iAUC0-180 were similar between the PVF and VF meal conditions.

    “IGP and iAUC0–180 were similar between the PVF and VF meal conditions.”
    • Also stated in: § Conclusions · plain
      “Notably, the VF meal order stimulated the least insulin response among the three meal conditions, while the reductions in IGP and glucose iAUC (0–180) vs the CF meal condition were similar to the PVF meal order.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The VF meal produced lower insulin excursions, with insulin iAUC0-180 43.8% lower than CF (54,116.7±7310.6 vs 96,382.1±21,909.8 pmol/L×180 min, p=0.03).

    “The VF meal resulted in lower insulin excursions; iAUC0–180 was 43.8% lower compared with CF (54,116.7±7310.6 vs 96,382.1±21,909.8 pmol/L×180 min, p=0.03).”
    • Also stated in: § Abstract · plain
      “postprandial insulin excursions were significantly lower in the VF meal condition compared to CF.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The CF meal pattern showed marked glycemic variability with a peak at 60 minutes and a nadir at 180 minutes, while glucose levels were stable in the other meal conditions.

    “Overall, the CF meal pattern demonstrated marked glycemic variability with a peak at 60 min and a nadir at 180 min, whereas glucose levels were stable in other meal conditions.”
    • Also stated in: § Abstract · plain
      “The CF meal pattern demonstrated marked glycemic variability whereas glucose levels were stable in the PVF and VF meal conditions.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The insulin iAUC0-180 after PVF was lower but not significantly different from CF (74,428.5±10,739.3 vs 96,382.1±21,909.8 pmol/L×180 min, p=0.44).

    “The iAUC0–180 in the PVF meal condition was lower, albeit not significantly different compared with CF (74,428.5±10,739.3 vs 96,382.1±21,909.8 pmol/L ×180 min, p=0.44).”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Study design and conductnone given

    The experimental meal conditions were randomly assigned using research randomizer.

    “under the following experimental conditions that were randomly assigned using research randomizer”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    Participants were closely monitored to ensure they consumed the test meals entirely within the allotted time.

    “Participants were closely monitored to ensure that the test meals were consumed in their entirety within the allotted time.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). The quote only partly states this claim.

    Study design and conductown data

    Sensitivity analysis excluding the participant with missing VF data did not change the significance of the results.

    “Furthermore, on performing sensitivity analyses by excluding this participant, the significance of the results did not change.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim.

    Study design and conductreasoning

    With 15 subjects, the study had 80% power to detect a mean paired difference of 0.84 mmol/L in incremental glucose peak at an alpha of 0.05, assuming a standard deviation of differences of 1.1 mmol/L.

    “Therefore, with 15 subjects enrolled, we would have 80% power to detect a mean of paired differences of 0.84 mmol/L in IGP (30% of 2.8) at an alpha level of 0.05, assuming a standard deviation of differences of 1.1 mmol/L.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    Plasma insulin was measured with quantitative immunoradiometric assay kits from Millipore, with intra-assay and inter-assay coefficients of variation of ≤4.4% and ≤6.0%.

    “The plasma concentrations of insulin were determined using quantitative immunoradiometric assay kits from Millipore (St. Charles, Missouri, USA). The intra-assay and inter-assay coefficients of variation were ≤4.4% and ≤6.0%.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    Whole-blood glucose was measured with a quantitative enzymatic photometry cassette from Alere, with intra-assay and inter-assay coefficients of variation of ≤6.2% and ≤5.0%.

    “Glucose concentrations were assessed in whole blood using a quantitative enzymatic photometry cassette from Alere (San Diego, California, USA). The intra-assay and inter-assay coefficients of variation were ≤6.2% and ≤5.0%, respectively.”
    Quote in the paperNot a substantial claim
  • Classified as probably not a substantial claim. May combine two claims.

    Study design and conductown data

    The study used a within-subjects crossover design in which all participants ate isocaloric meals of identical composition on three separate days, one week apart, after a 12-hour overnight fast.

    “We used a within-subjects crossover design in which all participants consumed isocaloric meals (Table 1) with exactly the same composition, on three separate days, 1 week apart, after a 12 hour overnight fast.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    The stringent study design and the use of meals and meal interventions that simulate real-world eating behavior are strengths of the study.

    “The stringent study design and the use of meals and meal interventions that simulate real world eating behavior are strengths of our study.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductreasoning

    Spices, herbs, and vinegar were added to the meal for palatability and to mimic a regularly consumed meal; although the amounts were small, they may have minor effects on postprandial glucose and insulin.

    “In designing the meal we used spices, herbs and vinegar in addition to macronutrients to improve palatability and replicate a meal that people regularly consume. Although the amounts used were small, they may have effects on postprandial glucose and insulin, albeit minor.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    The study has limitations including a small sample and unclear generalizability to postprandial meal conditions.

    “Our study has limitations including the small sample and unclear generalizability to postprandial meal conditions.”
    Quote in the paperNot a substantial claim
14 of 14
  • The paper relies on this without support.

    Participants maintained their usual physical activity and diet throughout the study, especially the day before each visit.

    “Participants were counseled to maintain their usual level of physical activity and diet throughout the study period and in particular the day prior to each study visit.”
  • The paper relies on this without support.

    The small amounts of spices, herbs, and vinegar in the test meal had only minor effects on postprandial glucose and insulin.

    “Although the amounts used were small, they may have effects on postprandial glucose and insulin, albeit minor.”
2 of 2

Cites

Flagged first, then by citations

Research works printed but not linked: 2

  1. U.S. Department of Health and Human Services, 2014, Estimates of Diabetes and its Burden in the United States. Centers for Disease Control and Prevention National Diabetes Statistics Report
  2. Aguirre F, 2013, IDF Diabetes Atlas

Cited by

Sorted by citations

Authors
Shukla, A. P., Dickison, M., Coughlin, N., Karan, A., Mauer, E., Truong, W., Casper, A., Emiliano, A. B., Kumar, R. B., Saunders, K. H., Igel, L. I., & Aronne, L. J.
Affiliations
  • Weill Cornell Medicine (US)
  • Rockefeller University (US)
Corresponding author
Shukla, Alpana P.
Venue
Diabetes, Obesity and Metabolism
Publisher
Wiley
Published
2018-09-10
Volume
21
Issue
2
Pages
377-381
ISSN
  • 1462-8902 (ISSN-L)
  • 1463-1326
OpenAlex
W2886715128
Cited by
66
References
13
Citations by year
2026: 9 · 2025: 8 · 2024: 11 · 2023: 9 · 2022: 9 · 2021: 10 · 2020: 6 · 2019: 3 · 2018: 1
FWCI
3.98
Type
journal article
Language
en
Open access
Locations
  • Diabetes Obesity and Metabolism (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health (UL1TR000457, UL1TR002384)
  • NIH Clinical Center
  • National Center for Advancing Translational Sciences
  • Clinical and Translational Science Center, Weill Cornell Medical College
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
prediabetes, postprandial blood glucose, postprandial insulin, glycaemic excursions, glycemic variability
MeSH terms
Adult, Aged, Blood Glucose, Feeding Behavior, Female, Humans, Hyperglycemia, Insulin, Male, Middle Aged, Prediabetic State, Retrospective Studies, Cross-Over Studies, Postprandial Period, Meals

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