Evidence map›Paper›PMID 24766666›Full record

ArticleDiabetes technology & therapeutics2014

Associations of nutrient intake with glycemic control in youth with type 1 diabetes: differences by insulin regimen.

Michelle L Katz, Sanjeev Mehta, Tonja Nansel, Heidi Quinn, Leah M Lipsky, Lori M B Laffel

Open access · greenAbstract read
In one paragraph

Article in Diabetes technology & therapeutics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 7% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  4. Promoting glycemic control in young children with type I diabetes: Results from a pilot intervention for parents.Families, systems & health : the journal of collaborative family healthcare · 2022
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  17. Understanding Nutritional Knowledge and Experiences in Families With a Child Newly Diagnosed With Type 1 Diabetes.Diabetes spectrum : a publication of the American Diabetes Association · 2023
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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

6 authors at 2 institutions in 1 country.

Michelle L Katz1 Pediatric, Adolescent and Young Adult Section, Genetics and Epidemiology Section, Joslin Diabetes Center , Boston, Massachusetts.
Sanjeev Mehta
Tonja Nansel
Heidi Quinn
Leah M Lipsky
Lori M B Laffel
Joslin Diabetes Center · USNational Institutes of Health · US

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI ROHIT N. KULKARNI · 1986 to 2026
$50.5M
TRAINING IN DIABETES AND METABOLISMT32DK007260 · NIDDK · JOSLIN DIABETES CENTER · PI LAURIE J GOODYEAR · 1986 to 2026
$13.6M
CAREER DEVELOPMENT IN DIABETES RESEARCH FOR PEDIATRIC ENDOCRINOLOGISTSK12DK094721 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI LAFFEL, LORI M, WHITE, MORRIS F. · 2011 to 2021
$6.3M
Enhancing Carbohydrate Quality in Diabetes ManagementZIAHD008805 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI NANSEL, TONJA · 2009 to 2022
$4.4M
NICHD NIH HHS HHSN267200703434CNIDDK NIH HHS 1K12DK094721-01NIDDK NIH HHS K12 DK094721NIDDK NIH HHS P30 DK036836NIDDK NIH HHS P30DK036836NIDDK NIH HHS T32 #5T32DK007260-35
6 · The paper itself

Abstract

backgroundType 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

methodsIn 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).

resultsYouth 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.

conclusionsHigher 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.

Indexed as

Adolescent BehaviorFeeding BehaviorAdolescentAttitude to HealthBlood GlucoseBlood Glucose Self-MonitoringBody Mass IndexCross-Sectional StudiesDiabetes Mellitus, Type 1DietDietary CarbohydratesDietary FatsDietary FiberDiet RecordsFemaleGlycated HemoglobinBlood GlucoseDietary CarbohydratesDietary FatsDietary FiberGlycated Hemoglobinhemoglobin A1c protein, human

Identifiers

PMID24766666
PMCPMC4115802
OpenAlexW1996009497

What OpenQuestion holds

Textmetadata
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.