Evidence map›Paper›PMID 38201991›Full record

ArticleNutrients2024

Postprandial Glucose Variability Following Typical Meals in Youth Living with Type 1 Diabetes.

Susana R Patton, Simon Bergford, Jennifer L Sherr, Robin L Gal, Peter Calhoun, Mark A Clements, Michael C Riddell, Corby K Martin

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Proposed Practical Guidelines to Improve Glycaemic Management by Reducing Glycaemic Variability in People with Type 1 Diabetes Mellitus.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
    Review
  7. Article
  8. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 2 countries.

Susana R PattonNemours Children's Health, Jacksonville, FL 32207, USA.
Simon BergfordJaeb Center for Health Research, Tampa, FL 33647, USA.
Jennifer L SherrYale School of Medicine, New Haven, CT 06510, USA.
Robin L GalJaeb Center for Health Research, Tampa, FL 33647, USA.
Peter CalhounJaeb Center for Health Research, Tampa, FL 33647, USA.
Mark A ClementsChildren's Mercy Hospital, Kansas City, MO 64108, USA.
Michael C RiddellMuscle Health Research Centre, School of Kinesiology and Health Science, York University, Toronto, ON M3J1P3, Canada.ORCID 0000-0001-6556-7559
Corby K MartinPennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA 70803, USA.ORCID 0000-0002-8125-4015
Jaeb Center for Health Research · USChildren's Mercy Hospital · USNemours Children's Health System · USPennington Biomedical Research Center · USYale University · USYork University · CA

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

We explored the association between macronutrient intake and postprandial glucose variability in a large sample of youth living with T1D and consuming free-living meals. In the Type 1 Diabetes Exercise Initiative Pediatric (T1DEXIP) Study, youth took photographs before and after their meals on 3 days during a 10 day observation period. We used the remote food photograph method to obtain the macronutrient content of youth's meals. We also collected physical activity, continuous glucose monitoring, and insulin use data. We measured glycemic variability using standard deviation (SD) and coefficient of variation (CV) of glucose for up to 3 h after meals. Our sample included 208 youth with T1D (mean age: 14 ± 2 years, mean HbA1c: 54 ± 14.2 mmol/mol [7.1 ± 1.3%]; 40% female). We observed greater postprandial glycemic variability (SD and CV) following meals with more carbohydrates. In contrast, we observed less postprandial variability following meals with more fat (SD and CV) and protein (SD only) after adjusting for carbohydrates. Insulin modality, exercise after meals, and exercise intensity did not influence associations between macronutrients and postprandial glycemic variability. To reduce postprandial glycemic variability in youth with T1D, clinicians should encourage diversified macronutrient meal content, with a goal to approximate dietary guidelines for suggested carbohydrate intake.

Indexed as

Diabetes Mellitus, Type 1GlucoseAdolescentBlood GlucoseBlood Glucose Self-MonitoringChildFemaleHumansInsulinMaleMealsBlood GlucoseGlucoseInsulinglucose controlmacronutrientspediatric diabetestype 1 diabetesvariability

Identifiers

PMID38201991
PMCPMC10781146
OpenAlexW4390582397

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.