Effect of Step Count Measurement on Glycemic Control: Secondary Analysis of a Randomized Controlled Trial.

Pedometer diabetes glycemic control mobile health step count

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
25 Jan 2024
Historique:
medline: 25 1 2024
pubmed: 25 1 2024
entrez: 25 1 2024
Statut: ppublish

Résumé

Although walking has proven efficacy for glycemic control, patients struggle to meet daily step goals. This secondary analysis investigated the effect of step count measurement rate on glycemic control. Patients with type 2 diabetes from eight hospitals in Japan participated in a 12-month randomized controlled trial. The intervention group received DialBetesPlus, a self-management support system that allowed patients to monitor step count using a pedometer. We divided the intervention group into two groups based on whether daily step count measurement rate (the percentage of days with pedometer use) increased or decreased during the last three months of the intervention (month 10-12), relative to the first three months of the intervention (month 1-3). Patients with a reduced measurement rate experienced a worsening in glycemic control, with between-group difference of 0.516% in the amount of change in HbA1c (p=0.012). We conclude that step count measurement may lead to a better glycemic profile.

Identifiants

pubmed: 38269869
pii: SHTI231025
doi: 10.3233/SHTI231025
doi:

Types de publication

Journal Article

Langues

eng

Pagination

549-553

Auteurs

Ryo Saito (R)

Faculty of Medicine, The University of Tokyo.

Wei Thing Sze (WT)

Department of Biomedical Informatics, The University of Tokyo.
Department of Planning, Information and Management, University of Tokyo Hospital.

Kayo Waki (K)

Department of Biomedical Informatics, The University of Tokyo.
Department of Planning, Information and Management, University of Tokyo Hospital.
Department of Diabetes and Metabolic Diseases, The University of Tokyo.

Syunpei Enomoto (S)

Department of Planning, Information and Management, University of Tokyo Hospital.

Toshimasa Yamauchi (T)

Department of Diabetes and Metabolic Diseases, The University of Tokyo.

Masaomi Nangaku (M)

Division of Nephrology and Endocrinology, The University of Tokyo.

Kazuhiko Ohe (K)

Department of Biomedical Informatics, The University of Tokyo.
Department of Planning, Information and Management, University of Tokyo Hospital.

Classifications MeSH