Literature DB >> 28008782

Understanding bolus insulin dose timing: the characteristics and experiences of people with diabetes who take bolus insulin.

William V Tamborlane1, Kathryn M Pfeiffer2, Meryl Brod2, Annie Nikolajsen3, Anna Sandberg3, Anne L Peters4, Michelle Van Name1.   

Abstract

OBJECTIVE: Despite the increased popularity of newer, fast-acting bolus insulin treatment options that allow for more flexibility in the timing of bolus insulin dosing in recent years, relatively little is known about people with diabetes who administer bolus insulin at differing times in relation to their meals. The purpose of this study was to investigate bolus insulin dose timing in relation to meals among people with type 1 (T1D) and type 2 (T2D) diabetes, as well as to better understand the characteristics and experiences of people who bolus dose at differing times.
METHODS: A web-based survey of adults with T1D and T2D treated with bolus insulin therapy in Germany, the UK, and USA was conducted.
RESULTS: A total of 906 respondents completed the survey (39% T1D; 61% T2D). A majority of respondents reported bolus dosing before meals in the previous week (57.0%), followed by after meals (18.9%), with meals (12.7%), and at varying times (11.5%). Compared to respondents who dosed with or after meals, those who dosed before meals were significantly less likely to experience hypoglycemia (before, 55.7%; with, 72.8%; after, 68.7%; p < .001) in the previous week. Respondents who bolus dosed before meals were significantly more likely to perceive bolus dose timing as flexible (45.5%) compared to those who dosed with (27.8%) or after (35.7%) meals (p < .001).
CONCLUSION: Results show that many people with T1D and T2D dose their bolus insulin with or after meals. Key limitations of all self-report surveys include potential bias in responses and generalizability of findings. However, the study was designed to help mitigate these limitations. The findings have implications for clinicians and suggest opportunities for improving diabetes education and care.

Entities:  

Keywords:  Bolus insulin; diabetes management; diabetes mellitus, type 1; diabetes mellitus, type 2; rapid-acting insulin; self-care

Mesh:

Substances:

Year:  2017        PMID: 28008782     DOI: 10.1080/03007995.2016.1275937

Source DB:  PubMed          Journal:  Curr Med Res Opin        ISSN: 0300-7995            Impact factor:   2.580


  7 in total

1.  Efficacy and safety of fast-acting insulin aspart in comparison with insulin aspart in type 1 diabetes (onset 1): A 52-week, randomized, treat-to-target, phase III trial.

Authors:  Chantal Mathieu; Bruce W Bode; Edward Franek; Athena Philis-Tsimikas; Ludger Rose; Tina Graungaard; Anne Birk Østerskov; David Russell-Jones
Journal:  Diabetes Obes Metab       Date:  2018-02-04       Impact factor: 6.577

2.  The value of fast-acting insulin aspart compared with insulin aspart for patients with diabetes mellitus treated with bolus insulin from a UK health care system perspective.

Authors:  Lalantha Leelarathna; Donna Ashley; Carrie Fidler; Witesh Parekh
Journal:  Ther Adv Endocrinol Metab       Date:  2018-04-04       Impact factor: 3.565

3.  Assessment of optimal insulin administration timing for standard carbohydrates-rich meals using continuous glucose monitoring in children with type 1 diabetes: A cross-over randomized study.

Authors:  Krzysztof Tucholski; Magdalena Sokołowska; Dagmara Tucholska; Halla Kamińska; Przemysława Jarosz-Chobot
Journal:  J Diabetes Investig       Date:  2019-05-18       Impact factor: 4.232

4.  Optimizing Postprandial Glucose Management in Adults With Insulin-Requiring Diabetes: Report and Recommendations.

Authors:  John Jack L Leahy; Grazia Aleppo; Vivian A Fonseca; Satish K Garg; Irl B Hirsch; Anthony L McCall; Janet B McGill; William H Polonsky
Journal:  J Endocr Soc       Date:  2019-10-07

5.  Pharmacokinetics and Pharmacodynamics of Three Different Formulations of Insulin Aspart: A Randomized, Double-Blind, Crossover Study in Men With Type 1 Diabetes.

Authors:  Eva Svehlikova; Ines Mursic; Thomas Augustin; Christoph Magnes; David Gerring; Jan Jezek; Daniela Schwarzenbacher; Maria Ratzer; Michael Wolf; Sarah Howell; Leon Zakrzewski; Martina Urschitz; Bernd Tschapeller; Christina Gatschelhofer; Franz Feichtner; Fiona Lawrence; Thomas R Pieber
Journal:  Diabetes Care       Date:  2020-12-16       Impact factor: 19.112

6.  Timing of Insulin Injections, Adherence, and Glycemic Control in a Multinational Sample of People with Type 2 Diabetes: A Cross-Sectional Analysis.

Authors:  Nicolaas C Schaper; Annie Nikolajsen; Anna Sandberg; Sarah Buchs; Mette Bøgelund
Journal:  Diabetes Ther       Date:  2017-10-23       Impact factor: 2.945

7.  A Deep Learning Framework for Automatic Meal Detection and Estimation in Artificial Pancreas Systems.

Authors:  John Daniels; Pau Herrero; Pantelis Georgiou
Journal:  Sensors (Basel)       Date:  2022-01-08       Impact factor: 3.576

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.