Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Diabetes: Management and Pharmacotherapy01:15

Diabetes: Management and Pharmacotherapy

1.1K
The therapy for diabetes aims to alleviate hyperglycemia-related symptoms, prevent acute metabolic decompensation, and reduce chronic end-organ complications. Glycemic control is evaluated through short-term (self-monitoring, continuous glucose monitoring) and long-term (A1c, fructosamine) metrics, enabling near real-time tracking of blood glucose levels and reflecting glycemic control over specific time frames.
Insulin remains the cornerstone of treatment for most patients with type 1 and many...
1.1K
Serial Position Effect01:03

Serial Position Effect

565
The serial position effect is a cognitive phenomenon where individuals are more likely to recall the first and last items in a list compared to those in the middle. This effect is divided into the primacy effect and the recency effect. The primacy effect is observed when the initial items in a list are remembered better. This occurs because these items are rehearsed more frequently or receive more elaborative processing, allowing them to be encoded into long-term memory more effectively. For...
565
Pathophysiology of Diabetes01:20

Pathophysiology of Diabetes

3.7K
Diabetes mellitus is a chronic metabolic disorder characterized by hyperglycemia. The four categories of diabetes are type 1 diabetes, type 2 diabetes, other specific types of diabetes, and gestational diabetes.
Type 1 diabetes is characterized by autoimmune-mediated destruction of pancreatic β cells, with environmental factors potentially triggering this process in genetically susceptible individuals. Despite many not having a family history, certain genes increase susceptibility,...
3.7K
Psychoneuroimmunology: Diabetes and Cancer01:19

Psychoneuroimmunology: Diabetes and Cancer

511
Chronic stress has been linked to both the onset and progression of serious health conditions, including Type 2 diabetes and cancer. Type 2 diabetes, a widespread chronic illness, is closely associated with obesity and insulin resistance, both of which often worsen under stress. Studies indicate that men experiencing high levels of chronic stress face a 45% higher risk of developing diabetes compared to those with minimal stress. Stress triggers physiological responses that elevate blood...
511
Diabetes: Symptoms, Diagnosis, and Complications01:15

Diabetes: Symptoms, Diagnosis, and Complications

2.4K
For most patients, experiencing several weeks of polyuria, polydipsia, fatigue, and significant weight loss may indicate the presence of diabetes. Furthermore, adults displaying the phenotypic appearance of type 2 diabetes (particularly those who are obese and not initially insulin-requiring), may have islet cell autoantibodies, suggesting autoimmune-mediated β cell destruction and a diagnosis of latent autoimmune diabetes of adults (LADA). The categorization of glucose homeostasis is...
2.4K
Diabetes Mellitus: Type 2 and Gestational01:22

Diabetes Mellitus: Type 2 and Gestational

5.1K
Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...
5.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Can Pandemic Preparedness Benefit from Health-Economic Modelling? The Case for Nipah Virus.

Studies in health technology and informatics·2025
Same author

Explorative cost-effectiveness analysis of colorectal cancer recurrence detection with next-generation sequencing liquid biopsy in Spain, France, and Germany.

Therapeutic advances in gastroenterology·2024
Same author

Is there a place for sigmoidoscopy in colorectal cancer screening? A systematic review and critical appraisal of cost-effectiveness models.

PloS one·2023
Same author

A German Smartphone-Based Self-management Tool for Psoriasis: Community-Driven Development and Evaluation of Quality-of-Life Effects.

JMIR formative research·2022
Same author

Quality of Life Assessment for Tonsillar Infections and Their Treatment.

Medicina (Kaunas, Lithuania)·2022
Same author

Additional offer of sigmoidoscopy in colorectal cancer screening in Germany: rationale and protocol of the decision-analytic modelling approach in the SIGMO study.

BMJ open·2022

Related Experiment Video

Updated: Feb 13, 2026

Regulatory T cells: Therapeutic Potential for Treating Transplant Rejection and Type I Diabetes
16:26

Regulatory T cells: Therapeutic Potential for Treating Transplant Rejection and Type I Diabetes

Published on: August 20, 2007

6.2K

Digital Diabetes Self-Management: A Trilateral Serial.

Wendelin Schramm1

  • 11 GECKO Institute, Hochschule Heilbronn, Heilbronn, Germany.

Journal of Diabetes Science and Technology
|March 9, 2018
PubMed
Summary

Diabetes mobile health (mHealth) apps can support patient self-care, but success hinges on context, literacy, and interoperability. A feedback loop is proposed for better diabetes management.

Keywords:
diabetes mellitusmedical informaticsmobile applicationspatient participation

More Related Videos

Transplantation of Pancreatic Islets Into the Kidney Capsule of Diabetic Mice
10:43

Transplantation of Pancreatic Islets Into the Kidney Capsule of Diabetic Mice

Published on: October 31, 2007

28.9K
Preclinical Model of Hind Limb Ischemia in Diabetic Rabbits
07:34

Preclinical Model of Hind Limb Ischemia in Diabetic Rabbits

Published on: June 2, 2019

10.3K

Related Experiment Videos

Last Updated: Feb 13, 2026

Regulatory T cells: Therapeutic Potential for Treating Transplant Rejection and Type I Diabetes
16:26

Regulatory T cells: Therapeutic Potential for Treating Transplant Rejection and Type I Diabetes

Published on: August 20, 2007

6.2K
Transplantation of Pancreatic Islets Into the Kidney Capsule of Diabetic Mice
10:43

Transplantation of Pancreatic Islets Into the Kidney Capsule of Diabetic Mice

Published on: October 31, 2007

28.9K
Preclinical Model of Hind Limb Ischemia in Diabetic Rabbits
07:34

Preclinical Model of Hind Limb Ischemia in Diabetic Rabbits

Published on: June 2, 2019

10.3K

Area of Science:

  • Digital Health
  • Diabetes Management
  • Health Informatics

Background:

  • Patient self-care routines significantly impact diabetes complication development.
  • Mobile health (mHealth) applications offer a ubiquitous platform for healthcare support.
  • Few studies isolate the specific effects of diabetes management applications.

Purpose of the Study:

  • To comment on the study by Offringa et al. regarding diabetes app efficacy.
  • To discuss general aspects of mHealth in diabetes care.
  • To identify key factors influencing the success of diabetes apps.

Main Methods:

  • Literature review and commentary on existing research.
  • Analysis of factors influencing mHealth adoption and effectiveness.
  • Discussion of a proposed feedback loop model.

Main Results:

  • Diabetes app success depends on treatment context, eHealth literacy, interoperability, and efficiency.
  • The field of mHealth for diabetes is still evolving.
  • A triple quality feedback loop is suggested to integrate patients, healthcare providers, and app developers.

Conclusions:

  • Successful mHealth interventions require a holistic approach beyond the app itself.
  • Interoperability and user literacy are critical for effective diabetes mHealth.
  • A collaborative feedback system can enhance the development and impact of diabetes applications.