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Association of Smartphone-Based Activity Tracking and Nocturnal Hypoglycemia in People With Type 1 Diabetes.
Gardner, Daphne; Tan, Hong Chang; Lim, Gek Hsiang; Zin Oo, May; Xin, Xiaohui; Kingsworth, Andrew; Choudhary, Pratik; Rama Chandran, Suresh.
  • Gardner D; Department of Endocrinology, Academia, Singapore General Hospital, Singapore.
  • Tan HC; Department of Endocrinology, Academia, Singapore General Hospital, Singapore.
  • Lim GH; Health Sciences Research Unit, Singapore General Hospital, Singapore.
  • Zin Oo M; Medicine Academic Clinical Program, Singapore General Hospital, Singapore.
  • Xin X; Health Sciences Research Unit, Singapore General Hospital, Singapore.
  • Kingsworth A; Department of Population Health Sciences, University of Leicester, Leicester, UK.
  • Choudhary P; Department of Population Health Sciences, University of Leicester, Leicester, UK.
  • Rama Chandran S; Leicester Diabetes Centre, Leicester General Hospital, Leicester, UK.
J Diabetes Sci Technol ; : 19322968231186401, 2023 Jul 12.
Article en En | MEDLINE | ID: mdl-37439017
ABSTRACT

BACKGROUND:

Nocturnal hypoglycemia (NH) remains a major burden for people with type 1 diabetes (T1D). Daytime physical activity (PA) increases the risk of NH. This pilot study tested whether cumulative daytime PA measured using a smartphone-based step tracker was associated with NH.

METHODS:

Adults with T1D for ≥ 5 years (y) on multiple daily insulin or continuous insulin infusion, not using continuous glucose monitoring and HbA1c 6 to 10% wore blinded Freestyle Libre Pro sensors and recorded total daily carbohydrate (TDC) and total daily dose (TDD) of insulin. During this time, daily step count (DSC) was tracked using the smartphone-based Fitbit MobileTrack application. Mixed effects logistic regression was used to estimate the effect of DSC on NH (sensor glucose <70, <54 mg/dl for ≥15 minutes), while adjusting for TDC and TDD of insulin, and treating participants as a random effect.

RESULTS:

Twenty-six adults, with 65.4% females, median age 27 years (interquartile range 26-32) mean body mass index 23.9 kg/m2, median HbA1c 7.6% (7.1-8.1) and mean Gold Score 2.1 (standard deviation 1.0) formed the study population. The median DSC for the whole group was 2867 (1820-4807). There was a significant effect of DSC on NH episodes <70 mg/dl. (odds ratio 1.11 [95% CI 1.01-1.23, P = .04]. There was no significant effect on NH <54 mg/dl.

CONCLUSION:

Daily PA measured by a smartphone-based step tracker was associated with the risk of NH in people with type 1 diabetes.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Risk_factors_studies Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Risk_factors_studies Idioma: En Año: 2023 Tipo del documento: Article