Associations of nutrient intake with glycemic control in youth with type 1 diabetes: differences by insulin regimen
Open accessAbstract
BACKGROUND: Type 1 diabetes management has evolved from meal plans towards flexible eating with carbohydrate counting. With this shift, youth with type 1 diabetes may consume excess fat and insufficient fiber, which may impact glycemic control. Few studies consider whether insulin regimen influences associations between dietary intake and hemoglobin A1c. PATIENTS AND METHODS: In this cross-sectional study, 252 youth (52% male; age, 13.2 ± 2.8 years; body mass index z-score [z-BMI], 0.7 ± 0.8) with type 1 diabetes completed 3-day food records. Dietary intake was compared with published guidelines. Logistic regression predicted the odds of suboptimal glycemic control (an A1c level of ≥ 8.5%) related to fat and protein intake or fiber intake according to insulin regimen (pump vs. injection) adjusting for age, sex, diabetes duration, z-BMI, insulin dose, glucose monitoring frequency, and total energy intake (TEI). RESULTS: Youth had a mean TEI of 40.9 ± 15.4 kcal/kg/day and excess fat and insufficient fiber intake compared against published guidelines. Pump-treated youth consuming the highest quartile of fat intake (as percentage TEI) had 3.6 (95% confidence interval, 1.3-9.7) times the odds of a suboptimal A1c than those in the lowest quartile. No such association was found in injection-treated youth. In the total sample, youth with the lowest quartile of fiber intake had 3.6 (95% confidence interval, 1.4-9.0) times the odds of a suboptimal A1c, but this association did not differ by insulin regimen. There was no association between protein intake and A1c. CONCLUSIONS: Higher fat intake in pump-treated youth and lower fiber intake in all youth were associated with an A1c level of ≥ 8.5%. Improving dietary quality may help improve A1c.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
Consumption of sugar-sweetened beverages and processed food products with large amounts of refined grains and added sugars has the capacity to displace healthier, more nutrient-dense food choices.
“The consumption of sugar-sweetened beverages and processed food products with large amounts of refined grains and added sugars is strongly discouraged (172,178,179), as these have the capacity to displace healthier, more nutrient-dense food choices.”
From 5. Facilitating Positive Health Behaviors and Well-being to Improve Health Outcomes:<i>Standards of Care in Diabetes—2023</i> (2023) · cites this paper as [179]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 23 · Cited by 65
Research works printed but not linked: 2
- [10]Bantle JP, Wylie-Rosett J, Albright AL, Apovian CM, Clark NG, Franz MJ, Hoogwerf BJ, Lichtenstein AH, Mayer-Davis E, Mooradian AD, Wheeler ML: Nutrition recommendations and interventions for diabetes: a position statement of the American Diabetes Association. Diabetes Care 2008;31(Suppl 1):S61–S78 [DOI] [PubMed] [Google Scholar]
- [11]Institute of Medicine: Dietary Reference Intakes: The Essential Guide to Nutrient Requirements. Washington, DC: The National Academies Press, 2006 [Google Scholar]
- Authors
- Katz, M. L., Mehta, S., Nansel, T., Quinn, H., Lipsky, L. M., & Laffel, L. M. B.
- Affiliations
- Joslin Diabetes Center (US)
- National Institutes of Health (US)
- Corresponding author
- Laffel, Lori M.B.
- Venue
- Diabetes Technology & Therapeutics
- Publisher
- SAGE Publications
- Published
- 2014-08
- Volume
- 16
- Issue
- 8
- Pages
- 512-518
- ISSN
- 1520-9156 (ISSN-L)
- 1557-8593
- PMC
- PMC4115802
- OpenAlex
- W1996009497
- Cited by
- 65
- References
- 23
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 6 · 2023: 6 · 2022: 9 · 2021: 6 · 2020: 6 · 2019: 5 · 2018: 11 · 2017: 7 · 2016: 2 · 2015: 2 · 2014: 1
- FWCI
- 3.21
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Diabetes Technology & Therapeutics (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Joslin Diabetes Center (P30DK036836)
- National Institutes of Health (HHSN267200703434C)
- National Institute of Diabetes and Digestive and Kidney Diseases (T32 #5T32DK007260-35, K12DK094721, T32DK007260, P30DK036836)
- National Institute of Child Health and Human Development (HHSN267200703434C)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (HHSN267200703434C)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Diabetes and associated disorders
- Keywords
- type 1 diabetes, youth, glycemic control, HbA1c, dietary fat intake, dietary fiber intake, protein intake, insulin pump therapy, insulin injection, carbohydrate counting, diet quality
- MeSH terms
- Adolescent, Adolescent Behavior, Attitude to Health, Blood Glucose, Cross-Sectional Studies, Diabetes Mellitus, Type 1, Diet, Dietary Carbohydrates, Dietary Fats, Dietary Fiber, Feeding Behavior, Female, Glycated Hemoglobin, Humans, Male, Patient Education as Topic, Blood Glucose Self-Monitoring, Diet Records, Body Mass Index
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