Journal Browser

► Journal Browser

Special Issue Information

Dear Colleagues,

Medical devices have made remarkable advances in recent years. Pedometers and accelerometers have been widely used for measuring physical activity in our daily lives. Body composition analysis, such as bioelectrical impedance analysis, has made it possible to assess skeletal muscle mass, fat mass, and visceral adipose tissue rapidly and accurately. In addition, continuous glucose monitoring systems and flash glucose monitoring systems can evaluate 24-h glucose profiles under free-living in patients with diabetes. Today, these medical devices are routinely used in clinical practice as well as in research. More recently, innovative technologies including smartphones and wearable devices are increasingly being applied to diabetes management and treatment processes. It is essential to accumulate scientific evidence regarding the use of such devices in the management of diabetes and discuss their future perspectives.

This Special Issue will compile case reports, original research articles, and critical reviews of the advanced devices for diabetes management and treatment. Research articles which investigate the role of advanced devices in the management of other diseases such as obesity and hypertension are also welcome.

Dr. Hidetaka Hamasaki
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

Diabetes
Obesity
Wearable devices
Smartphone
Accelerometer
Body composition analysis
Continuous glucose monitoring system
Flash glucose monitoring system
Non-invasive glucose monitoring

Published Papers (2 papers)

Download All Papers

Research

Jump to: Review

10 pages, 3925 KiB

Open AccessFeature PaperArticle

Effects of Low-Intensity Resistance Exercise with Slow Movement and Tonic Force Generation on Short-Term Glycemic Variability in Healthy Subjects: A Randomized Controlled Study

by Takuro Shoji, Hidetaka Hamasaki, Akiko Kawaguchi, Yoko Waragai and Hidekatsu Yanai

Appl. Sci. 2021, 11(4), 1536; https://0-doi-org.brum.beds.ac.uk/10.3390/app11041536 - 08 Feb 2021

Viewed by 1900

Abstract

Resistance exercise improves daily glycemic control. Low-intensity resistance exercise with slow movements and tonic force generation (LST) is a resistance exercise protocol that can increase skeletal muscle mass and strength without considerable physical burden; however, its effect on glycemic variability is unknown. The aim of this study was to investigate the effect of LST on short-term glycemic variability, expressed as the M-value, in healthy individuals. We recruited 20 healthy subjects (mean age: 27.9 ± 3.9 years) with normal glucose tolerance, and subjects were randomly assigned to the control (n = 10) or LST (n = 10) groups. Subjects in the LST group performed the resistance exercise with 40–50% of the one-repetition maximum for 40 min. All subjects wore a subcutaneous continuous glucose monitoring system and a triaxial accelerometer, and their daily glycemic variability and physical activity were measured. One hour after the intervention, in the LST group, the variability of blood glucose levels was significantly decreased compared to the control group (M-values in the LST group: pre 3.5 ± 6.2, post 2.7 ± 2.7, p = 0.575; M-values in the control group: pre 0.4 ± 0.7, post 2.7 ± 2.0, p = 0.017). However, there were no differences in total physical activity and daily glycemic control between groups. The findings of this study suggest that LST improves short-term glycemic variability in healthy subjects. Full article

(This article belongs to the Special Issue Advanced Medical Devices for Diabetes Management)

► Show Figures

Figure 1

Review

Jump to: Research

11 pages, 411 KiB

Open AccessReview

Daily Physical Activity and Sleep Measured by Wearable Activity Trackers during the Coronavirus Disease 2019 Pandemic: A Lesson for Preventing Physical Inactivity during Future Pandemics

by Hidetaka Hamasaki

Appl. Sci. 2021, 11(21), 9956; https://0-doi-org.brum.beds.ac.uk/10.3390/app11219956 - 25 Oct 2021

Cited by 2 | Viewed by 2396

Abstract

Wearable activity trackers are devices that are comfortably worn on the body and are designed to be effective in monitoring daily physical activity and improving physical fitness of the wearer. This review aimed to investigate the impact of the coronavirus disease 2019 (COVID-19) pandemic on physical activity measured using wearable activity trackers and discuss future perspectives on wearable activity trackers during pandemics. Daily physical activity was significantly decreased during the COVID-19 pandemic. The implementation of strict public health measures, such as total lockdown, can decrease people’s physical activity by 50% or more of that prior to the lockdown. Physical inactivity is significantly associated with several health problems, including obesity, diabetes, cardiovascular disease, and cancers; therefore, an effective healthcare system to prevent physical inactivity during pandemics should be established. It is essential to create a network between healthcare organizations and wearable activity tracker users to monitor real-time health status and prepare for the future pandemic. Full article

(This article belongs to the Special Issue Advanced Medical Devices for Diabetes Management)

► Show Figures