Imovefor diabetes app
Imovefordiabetes – Beat Diabetes
#Imovefordiabetes – #Imovefordiabetes
#Imovefordiabetes is a Nordic movement that first was launched May 2021 by @beatdiabetesfoundation. This initiative encourages people no matter their …
i-move-for-diabetes – npm
13. nov. 2021 — Hack for humanity i-move-for-diabetes project components. Latest version: 0.7.0, last published: a year ago. Start using i-move-for-diabetes …
Hack for humanity i-move-for-diabetes project components. Latest version: 0.7.0, last published: a year ago. Start using i-move-for-diabetes in your project by running `npm i i-move-for-diabetes`. There are no other projects in the npm registry using i-move-for-diabetes.
Forside | Velkommen til Diabetesforeningen
Diabetesforeningen kæmper for et godt liv for mennesker med diabetes – og en fremtid uden. Få seneste nyt om forskning, behandling, politik og forebyggelse.
Peter Jihde (@jihdesdiabetes) • Instagram photos and videos
52.3k Followers, 46 Following, 2268 Posts – See Instagram photos and videos from Peter Jihde (@jihdesdiabetes)
forDiabetes mobile app – Take the control of your diabetes …
forDiabetes mobile app – Take the control of your diabetes and Improve your life!
forDiabetes app is a logbook application that enables you to track and monitor key diabetes data (blood glucose level, activity, carbs, blood pressure, …
User Models for Personalized Physical Activity Interventions
JMIR mHealth and uHealth – User Models for Personalized Physical Activity Interventions: Scoping Review
efter S Ghanvatkar · 2019 · Citeret af 54 — Background: Fitness devices have spurred the development of apps that … chronic diseases such as diabetes and cardiovascular illnesses.
Background: Fitness devices have spurred the development of apps that aim to motivate users, through interventions, to increase their physical activity (PA). Personalization in the interventions is essential as the target users are diverse with respect to their activity levels, requirements, preferences, and behavior. Objective: This review aimed to (1) identify different kinds of personalization in interventions for promoting PA among any type of user group, (2) identify user models used for providing personalization, and (3) identify gaps in the current literature and suggest future research directions. Methods: A scoping review was undertaken by searching the databases PsycINFO, PubMed, Scopus, and Web of Science. The main inclusion criteria were (1) studies that aimed to promote PA; (2) studies that had personalization, with the intention of promoting PA through technology-based interventions; and (3) studies that described user models for personalization. Results: The literature search resulted in 49 eligible studies. Of these, 67% (33/49) studies focused solely on increasing PA, whereas the remaining studies had other objectives, such as maintaining healthy lifestyle (8 studies), weight loss management (6 studies), and rehabilitation (2 studies). The reviewed studies provide personalization in 6 categories: goal recommendation, activity recommendation, fitness partner recommendation, educational content, motivational content, and intervention timing. With respect to the mode of generation, interventions were found to be semiautomated or automatic. Of these, the automatic interventions were either knowledge-based or data-driven or both. User models in the studies were constructed with parameters from 5 categories: PA profile, demographics, medical data, behavior change technique (BCT) parameters, and contextual information. Only 27 of the eligible studies evaluated the interventions for improvement in PA, and 16 of these concluded that the interventions to increase PA are more effective when they are personalized. Conclusions: This review investigates personalization in the form of recommendations or feedback for increasing PA. On the basis of the review and gaps identified, research directions for improving the efficacy of personalized interventions are proposed. First, data-driven prediction techniques can facilitate effective personalization. Second, use of BCTs in automated interventions, and in combination with PA guidelines, are yet to be explored, and preliminary studies in this direction are promising. Third, systems with automated interventions also need to be suitably adapted to serve specific needs of patients with clinical conditions. Fourth, previous user models focus on single metric evaluations of PA instead of a potentially more effective, holistic, and multidimensional view. Fifth, with the widespread adoption of activity monitoring devices and mobile phones, personalized and dynamic user models can be created using available user data, including users’ social profile. Finally, the long-term effects of such interventions as well as the technology medium used for the interventions need to be evaluated rigorously.
Lokalavisen Lemvig – Uge 44
Har du ikke App’en Nyhedskiosken installeret på din smartphone eller tablet, klik på Google Play herunder. App’en er gratis! Rigtig god læselyst JyskFynske …
LokaLavisen Lemvig 11 Tirsdag 31. ok Tober 2017 Spørg bare os… På vores apotek får du direkte adgang til eksperterne inden for sundhed, medicin og sygdom. Alle, du møder på apoteket, er uddannet til at give dig den bedste rådgivning. Kom indenfor og få svar på dine spørgsmål f.eks. om rygestop,
chronic kidney disease, diabetes and COVID-19 in Pakistan
7. apr. 2021 — type 2 diabetes, and gestational diabetes—I move for-. ward to the epidemiological data, demonstrating that. diabetes analogs to CKD, …
User Models for Personalized Physical Activity Interventions
efter S Ghanvatkar · 2019 · Citeret af 54 — Keywords: review, exercise, physical fitness, automation, mobile apps, … for various chronic diseases such as diabetes and cardiovascular illnesses.
Addicted to Escape. What were those people moving across…
Addicted to Escape. What were those people moving across… | by Karen Maniraho | AMPLIFY | Medium
The place where a new friend asked me if I move for places or people, … Beyond Insulin: Community Health Workers’ Role in Diabetes Complex Care Management.
Our fears and anxieties don’t disappear chasing the new. They may disappear for a moment but they await our arrival at baggage claim. Waiting to be unpacked.
Keywords: imovefor diabetes app
