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Diabetes Technol Ther. 2014 Aug;16(8):512-8. doi: 10.1089/dia.2013.0389. Epub 2014 Apr 25.

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

Author information

1
1 Pediatric, Adolescent and Young Adult Section, Genetics and Epidemiology Section, Joslin Diabetes Center , Boston, Massachusetts.

Abstract

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.

PMID:
24766666
PMCID:
PMC4115802
DOI:
10.1089/dia.2013.0389
[Indexed for MEDLINE]
Free PMC Article

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