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The Impact of an Adaptive mHealth Intervention on Improving Patient-Provider Health Care Communication: Secondary Analysis of the DIAMANTE Trial

The Impact of an Adaptive mHealth Intervention on Improving Patient-Provider Health Care Communication: Secondary Analysis of the DIAMANTE Trial

Treatment and care for depression and diabetes, two highly prevalent and often co-occurring conditions [1,2], are often siloed. Individuals with diabetes have an increased risk of developing comorbid depression compared to individuals without diabetes [3].

Lynn Leng, Marvyn R Arévalo Avalos, Adrian Aguilera, Courtney R Lyles

JMIR Mhealth Uhealth 2025;13:e64296

Empowering Caregiver Well-Being With the Adhera Caring Digital Program for Family Caregivers of Children Living With Type 1 Diabetes: Mixed Methods Feasibility Study

Empowering Caregiver Well-Being With the Adhera Caring Digital Program for Family Caregivers of Children Living With Type 1 Diabetes: Mixed Methods Feasibility Study

Children living with type 1 diabetes (T1 D) face unique challenges, including deficient insulin production, psychosocial stress, stigmatization, social isolation, and bullying, which can negatively impact their quality of life [1,2]. Caregivers’ are often the primary source of support for these children, and experience significant emotional burdens that are closely linked to the children’s health–related quality of life (Hr Qo L) [3-7].

Antonio de Arriba Muñoz, Elisa Civitani Monzon, Maria Pilar Ferrer, Marta Ferrer-Lozano, Silvia Quer-Palomas, Joia Nuñez, Alba Xifra-Porxas, Francesca Aimée Mees Mlatiati, Ioannis Bilionis, Ricardo C Berrios, Luis Fernández-Luque

JMIR Pediatr Parent 2025;8:e66914

A Responsible Framework for Assessing, Selecting, and Explaining Machine Learning Models in Cardiovascular Disease Outcomes Among People With Type 2 Diabetes: Methodology and Validation Study

A Responsible Framework for Assessing, Selecting, and Explaining Machine Learning Models in Cardiovascular Disease Outcomes Among People With Type 2 Diabetes: Methodology and Validation Study

As a proof of concept, we apply our framework to predict cardiovascular disease (CVD) outcomes, myocardial infarction (MI), and stroke, among people with type 2 diabetes (T2 D). With CVD being a leading cause of death in the United States, and patients with T2 D being at elevated risk of CVD, it is urgent to develop accurate and fair predictive models that generate clinically reasonable predictions [16-19].

Yang Yang, Che-Yi Liao, Esmaeil Keyvanshokooh, Hui Shao, Mary Beth Weber, Francisco J Pasquel, Gian-Gabriel P Garcia

JMIR Med Inform 2025;13:e66200

Virtual Diabetes Prevention Program Tailored to Increase Participation of Black and Latino Men: Protocol for a Randomized Controlled Trial

Virtual Diabetes Prevention Program Tailored to Increase Participation of Black and Latino Men: Protocol for a Randomized Controlled Trial

The prevalence of type 2 diabetes and its risk factors disproportionately affects low-income and racial and ethnic minority populations in the United States [1,2]. This mirrors international evidence showing disparities in diabetes prevalence related to socioeconomic disadvantage and structural racism [3]. In the United States, Black and Latino populations are 2-3 times more likely to die of diabetes-related complications than their White counterparts [2].

Earle C Chambers, Elizabeth A Walker, Clyde Schechter, Eric Gil, Terysia Herbert, Katelyn Diaz, Jeffrey Gonzalez

JMIR Res Protoc 2025;14:e64405

Evaluating Effectiveness of mHealth Apps for Older Adults With Diabetes: Meta-Analysis of Randomized Controlled Trials

Evaluating Effectiveness of mHealth Apps for Older Adults With Diabetes: Meta-Analysis of Randomized Controlled Trials

For example, diabetes is increasingly becoming a prevalent health concern among older adults. In 2019, global estimates indicated that 19.3% of people aged 65-99 years (135.6 million) live with diabetes [3]. This number is projected to reach 195.2 million by 2030 and double by 2045; approximately 276.2 million older adults with diabetes [3-5]. In the United States alone, 38.4 million people have diabetes, and 97.6 million have prediabetes (11.6% and 38% of the country’s population, respectively) [4,6].

Renato Ferreira Leitao Azevedo, Michael Varzino, Erika Steinman, Wendy A Rogers

J Med Internet Res 2025;27:e65855

Prediction of Insulin Resistance in Nondiabetic Population Using LightGBM and Cohort Validation of Its Clinical Value: Cross-Sectional and Retrospective Cohort Study

Prediction of Insulin Resistance in Nondiabetic Population Using LightGBM and Cohort Validation of Its Clinical Value: Cross-Sectional and Retrospective Cohort Study

As a condition that can exist before the onset of type 2 diabetes, IR is not only one of the key mechanisms underlying the development of diabetes but also a major risk factor for various diseases [2]. According to the International Diabetes Federation, it is estimated that by 2045, there will be 783.2 million people affected globally, with the vast majority having type 2 diabetes [3]. Furthermore, IR is even more common.

Ting Peng, Rujia Miao, Hao Xiong, Yanhui Lin, Duzhen Fan, Jiayi Ren, Jiangang Wang, Yuan Li, Jianwen Chen

JMIR Med Inform 2025;13:e72238

Recommendations for Designing a Digital Health Tool for Blindness Prevention Among High-Risk Diabetic Retinopathy Patients: Qualitative Focus Group Study of Adults With Diabetes

Recommendations for Designing a Digital Health Tool for Blindness Prevention Among High-Risk Diabetic Retinopathy Patients: Qualitative Focus Group Study of Adults With Diabetes

One study tailored the design of a digital tool specifically for low-income Arabic individuals living in Israel, however, their intervention provided only diabetes-related dietary knowledge [18]. There is a clear and urgent need for content and features to improve DR screening rates and provide comprehensive diabetes-related support. Individuals with diabetes often describe the mental toll of living with diabetes. Adverse psychological experiences are documented in the literature.

Akua Frimpong, Alvaro Granados, Thomas Chang, Julia Fu, Shannan G Moore, Serina Applebaum, Bolatito Adepoju, Mahima Kaur, Vignesh Hari Krishnan, Amanda Levi, Terika McCall, Kristen Harris Nwanyanwu

JMIR Form Res 2025;9:e65893

The Use of AI-Powered Thermography to Detect Early Plantar Thermal Abnormalities in Patients With Diabetes: Cross-Sectional Observational Study

The Use of AI-Powered Thermography to Detect Early Plantar Thermal Abnormalities in Patients With Diabetes: Cross-Sectional Observational Study

Diabetes affects 1 in 10 adults worldwide (537 million) [1]. This number is predicted to rise to 643 million by 2030 and 783 million by 2045. In the Middle East and North Africa region, the prevalence is higher as it affects 1 in 6 adults (73 million) [1]. Despite advances in medical therapies, the prevalence of diabetes mellitus and diabetes-related complications continues to rise [2]. Diabetic foot problems are among the most debilitating complications of diabetes mellitus.

Meshari F Alwashmi, Mustafa Alghali, AlAnoud AlMogbel, Abdullah Abdulaziz Alwabel, Abdulaziz S Alhomod, Ibrahim Almaghlouth, Mohamad-Hani Temsah, Amr Jamal

JMIR Diabetes 2025;10:e65209

Evaluating Digital Health Solutions in Diabetes and the Role of Patient-Reported Outcomes: Targeted Literature Review

Evaluating Digital Health Solutions in Diabetes and the Role of Patient-Reported Outcomes: Targeted Literature Review

In Pub Med, the PROs name and “diabetes” were used to search for relevant results and in Clinical Trials.gov the PROs name and “type 1 diabetes” and “type 2 diabetes” were used. Then, to determine associations with DHS, PROs name and “diabetes” were used in conjunction with “mobile application,” “telemedicine,” “telehealth,” “health digital solutions,” and “e-health” in Pub Med.

Paco Cerletti, Michael Joubert, Nick Oliver, Saira Ghafur, Pasquale Varriale, Ophélie Wilczynski, Marlene Gyldmark

JMIR Diabetes 2025;10:e52909

The Effect of a Mobile App (eMOM) on Self-Discovery and Psychological Factors in Persons With Gestational Diabetes: Mixed Methods Study

The Effect of a Mobile App (eMOM) on Self-Discovery and Psychological Factors in Persons With Gestational Diabetes: Mixed Methods Study

Gestational diabetes mellitus (GDM) is an increasing issue in maternal health care as it affects approximately 14% of pregnant individuals globally [1]. GDM increases the risk of developing type 2 diabetes and cardiovascular diseases [2,3], and also predisposes the child to adulthood obesity and type 2 diabetes [4].

Sini Määttänen, Saila Koivusalo, Hanna Ylinen, Seppo Heinonen, Mikko Kytö

JMIR Mhealth Uhealth 2025;13:e60855