Literature DB >> 28476567

Dietary intake and risk of non-severe hypoglycemia in adolescents with type 1 diabetes.

Victor W Zhong1, Jamie L Crandell2, Christina M Shay3, Penny Gordon-Larsen4, Stephen R Cole5, Juhaeri Juhaeri6, Anna R Kahkoska1, David M Maahs7, Michael Seid8, Gregory P Forlenza9, Elizabeth J Mayer-Davis10.   

Abstract

AIMS: To determine the association between dietary intake and risk of non-severe hypoglycemia in adolescents with type 1 diabetes.
METHODS: Type 1 adolescents from a randomized trial wore a blinded continuous glucose monitoring (CGM) system at baseline for one week in free-living conditions. Dietary intake was calculated as the average from two 24-h dietary recalls. Non-severe hypoglycemia was defined as having blood glucose <70mg/dL for ≥10min but not requiring external assistance, categorized as daytime and nocturnal (11PM-7AM). Data were analyzed using logistic regression models.
RESULTS: Among 98 participants with 14,277h of CGM data, 70 had daytime hypoglycemia, 66 had nocturnal hypoglycemia, 55 had both, and 17 had neither. Soluble fiber and protein intake were positively associated with both daytime and nocturnal hypoglycemia. Glycemic index, monounsaturated fat, and polyunsaturated fat were negatively associated with daytime hypoglycemia only. Adjusting for total daily insulin dose per kilogram eliminated all associations.
CONCLUSIONS: Dietary intake was differentially associated with daytime and nocturnal hypoglycemia. Over 80% of type 1 adolescents had hypoglycemia in a week, which may be attributed to the mismatch between optimal insulin dose needed for each meal and actually delivered insulin dose without considering quality of carbohydrate and nutrients beyond carbohydrate. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT01286350.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Continuous glucose monitoring; Dietary intake; Hypoglycemia; Nutrition; Type 1 diabetes

Mesh:

Substances:

Year:  2017        PMID: 28476567      PMCID: PMC5526710          DOI: 10.1016/j.jdiacomp.2017.04.017

Source DB:  PubMed          Journal:  J Diabetes Complications        ISSN: 1056-8727            Impact factor:   2.852


  45 in total

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2.  Does the fat-protein meal increase postprandial glucose level in type 1 diabetes patients on insulin pump: the conclusion of a randomized study.

Authors:  Ewa Pańkowska; Marlena Błazik; Lidia Groele
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3.  Should the amounts of fat and protein be taken into consideration to calculate the lunch prandial insulin bolus? Results from a randomized crossover trial.

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4.  Plasma glucagon and alpha-amino acid nitrogen response to various diets in normal humans.

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5.  Higher glucose concentrations following protein- and fat-rich meals - the Tuebingen Grill Study: a pilot study in adolescents with type 1 diabetes.

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Review 6.  Nocturnal hypoglycemia: answering the challenge with long-acting insulin analogs.

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Journal:  MedGenMed       Date:  2007-05-17

7.  Dietary fat acutely increases glucose concentrations and insulin requirements in patients with type 1 diabetes: implications for carbohydrate-based bolus dose calculation and intensive diabetes management.

Authors:  Howard A Wolpert; Astrid Atakov-Castillo; Stephanie A Smith; Garry M Steil
Journal:  Diabetes Care       Date:  2012-11-27       Impact factor: 19.112

8.  Influence of and optimal insulin therapy for a low-glycemic index meal in children with type 1 diabetes receiving intensive insulin therapy.

Authors:  Rochelle L Ryan; Bruce R King; Donald G Anderson; John R Attia; Clare E Collins; Carmel E Smart
Journal:  Diabetes Care       Date:  2008-05-05       Impact factor: 19.112

9.  Longitudinal assessment of neuroanatomical and cognitive differences in young children with type 1 diabetes: association with hyperglycemia.

Authors:  Nelly Mauras; Paul Mazaika; Bruce Buckingham; Stuart Weinzimer; Neil H White; Eva Tsalikian; Tamara Hershey; Allison Cato; Peiyao Cheng; Craig Kollman; Roy W Beck; Katrina Ruedy; Tandy Aye; Larry Fox; Ana Maria Arbelaez; Darrell Wilson; Michael Tansey; William Tamborlane; Daniel Peng; Matthew Marzelli; Karen K Winer; Allan L Reiss
Journal:  Diabetes       Date:  2014-12-08       Impact factor: 9.461

10.  Validation of a previous day recall for measuring the location and purpose of active and sedentary behaviors compared to direct observation.

Authors:  Sarah Kozey Keadle; Kate Lyden; Amanda Hickey; Evan L Ray; Jay H Fowke; Patty S Freedson; Charles E Matthews
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2.  Technological Ecological Momentary Assessment Tools to Study Type 1 Diabetes in Youth: Viewpoint of Methodologies.

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3.  A machine-learning approach to predict postprandial hypoglycemia.

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4.  Dietary intake and hospitalisation due to diabetic ketoacidosis and hypoglycaemia in individuals with type 1 diabetes.

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