This paper is in the following e-collection/theme issue:

Apps, Mobile, Wearables for Diabetes (306) mHealth for Data Collection and Research (981) Wearable Devices and Sensors (903) Glucose Tracking and Self-Monitoring of Blood Glucose (166) Diabetes Self-Management (495) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) Decision Support for Health Professionals (1210) Datasets (11) Consumer & Patient Education and Shared-Decision Making (695)

Published on in Vol 9 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/62831, first published .
Association of Blood Glucose Data With Physiological and Nutritional Data From Dietary Surveys and Wearable Devices: Database Analysis

Association of Blood Glucose Data With Physiological and Nutritional Data From Dietary Surveys and Wearable Devices: Database Analysis

Association of Blood Glucose Data With Physiological and Nutritional Data From Dietary Surveys and Wearable Devices: Database Analysis

Authors of this article:

Takashi Miyakoshi1 Author Orcid Image ;   Yoichi M Ito2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Altmetric

Altmetric discovers Social Media mentions. Click the ‘See more details’ link for a full report.

Dimensions

Dimensions discovers Citations. Click the ‘details’ link for a full report.

Metrics Since Publication

Download .csv
Daily | Monthly | Annually