Does insulin delivery technology change our relationship with foods? A scoping review.


Journal

Diabetes technology & therapeutics
ISSN: 1557-8593
Titre abrégé: Diabetes Technol Ther
Pays: United States
ID NLM: 100889084

Informations de publication

Date de publication:
30 Nov 2023
Historique:
medline: 30 11 2023
pubmed: 30 11 2023
entrez: 30 11 2023
Statut: aheadofprint

Résumé

Automated Insulin Delivery (AID) systems reduce burden and improve glycemic management for people with type 1 diabetes (PwT1D) by automatically adjusting insulin as a response to measured glucose levels. There is a lack of evidence on AID and nutrition variables such as dietary intake, eating behaviours, and disordered eating. This scoping review aimed to provide a summary of the literature regarding AID and nutrition variables and to identify gaps that require further investigation. Two researchers conducted a blinded search of Medline (OVID) and PubMed for studies including AID use (compared to non-AID use) and nutrition variables. Studies from January 2000 to July 2023 were included, as were PwT1D of all ages. A total of 3,132 articles were screened for appropriateness. After exclusions, 7 studies were included (2017-2023): 4 qualitative, 1 crossover, 1 randomized controlled, and 1 observational. Studies included adolescents (n=1), adults (n=3) or both (n=2), and all ages (n=1). In quantitative studies, AID was associated with lower eating distress (-0.43 + 0.12, p=0.004) and higher quality of life (3.1, 95%CI:0.8-5.4, p=0.01), but not grams of carbohydrates at meals (1.0; 95% CI: -0.7 to 3.0; p=0.24) and snacks (0.004; 95%CI: -0.8 to 0.8; p=0.99) compared to non-AID use. In qualitative studies, AID increased the frequency and portions of food intake and led to less dietary control from parents. AID users reported eating foods higher in energy density. PwT1D were less worried about achieving accurate carbohydrate counting when using AID. AID use appears to influence eating behaviours, dietary patterns, and carbohydrate counting, although evidence was limited. AID may reduce food management burden due to the perception that AID can correct for carbohydrate counting inaccuracy. Further research needs to determine if AID allows for simplification of carbohydrate counting and improves eating behaviours while maintaining glycemic stability.

Identifiants

pubmed: 38032855
doi: 10.1089/dia.2023.0382
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Auteurs

Courtney South (C)

McGill University, 5620, School of Human Nutrition, Sainte-Anne-de-Bellevue, Quebec, Canada; courtney.south@mail.mcgill.ca.

Meryem Talbo (M)

McGill University, 5620, 21111 Lakeshore Dr, Sainte-Anne-de-Bellevue,, Montreal, Quebec, Canada, H9X 3L9; meryem.talbo@mail.mcgill.ca.

Amélie Roy-Fleming (A)

McGill University, 5620, School of Human Nutrition, Sainte-Anne-de-Bellevue, Quebec, Canada; amelie.roy-fleming@mcgill.ca.

Tricia Peters (T)

Jewish General Hospital, 5621, Endocrinology , Montreal, Quebec, Canada; tricia.peters@mcgill.ca.

Daiva Nielsen (D)

McGill University, 5620, School of Human Nutrition, Sainte-Anne-de-Bellevue, Quebec, Canada; daiva.nielsen@mcgill.ca.

Slyvain Iceta (S)

Laval University, 4440, Department of Psychiatry and Neurosciences, Quebec, Quebec, Canada; sylvain.iceta.1@ulaval.ca.

Anne-Sophie Brazeau (AS)

McGill University, 5620, School of Human Nutrition, 21111 Lakeshore, Ste-Anne-de-Bellevue, Sainte-Anne-de-Bellevue, Quebec H9X 3V9, Sainte-Anne-de-Bellevue, Quebec, Canada, H9X 3V9; anne-sophie.brazeau@mcgill.ca.

Classifications MeSH