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Early Detection of Type 1 Diabetes in First-Degree Relatives in Saudi Arabia (VISION-T1D): Protocol for a Pilot Implementation Study

Early Detection of Type 1 Diabetes in First-Degree Relatives in Saudi Arabia (VISION-T1D): Protocol for a Pilot Implementation Study

Early detection by T1 D screening is crucial in reducing DKA incidence and mitigating the health and economic impacts [13,14]. T1 D pathogenesis involves a complex interplay of genetic predisposition and environmental factors, resulting in the autoimmune destruction of pancreatic β-cells [15,16]. Individuals with a first-degree relative (FDR) affected with T1 D have a 15-fold higher lifetime risk of developing T1 D compared to the general population [13].

Iman S Algadi, Yazed AlRuthia, Muhammad H Mujammami, Khaled Hani Aburisheh, Metib Alotaibi, Sharifah Al Issa, Amal A Al-Saif, David Seftel, Cheng-Ting Tsai, Reem A Al Khalifah

JMIR Res Protoc 2025;14:e70575

Implementing Diabetes Distress Screening in a Pediatric Endocrinology Clinic Using a Digital Health Platform: Quantitative Secondary Data Analysis

Implementing Diabetes Distress Screening in a Pediatric Endocrinology Clinic Using a Digital Health Platform: Quantitative Secondary Data Analysis

Rates of type 1 diabetes (T1 D) in youth aged 19 years or younger have been increasing in recent years, from approximately 1.48 per 1000 youth in 2001 to 2.15 per 1000 youth in 2017 [1]. Rates increased at the highest levels in non-Hispanic White and non-Hispanic Black children [1]. Health-promoting management of T1 D requires following a complex and constant treatment regimen with tasks relying on child and caregiver behaviors, skills, and knowledge [2].

Nicole A Kahhan, Larry A Fox, Matthew Benson, Susana R Patton

JMIR Pediatr Parent 2025;8:e65107

Examining Share plus—A Continuous Glucose Monitoring Plus Data-Sharing Intervention in Older Adults and Their Care Partners: Protocol for a Randomized Control Study

Examining Share plus—A Continuous Glucose Monitoring Plus Data-Sharing Intervention in Older Adults and Their Care Partners: Protocol for a Randomized Control Study

Type 1 diabetes (T1 D) is a significant public health problem, with increasing numbers of adults now living into late adulthood [1]. T1 D self-management requires a number of daily diabetes tasks including checking blood glucose (either through a blood glucose meter or a continuous glucose monitor [CGM]) and administering insulin to account for changes in food intake and exercise.

Nancy A Allen, Cynthia A Berg, Eli Iacob, Bruno Rodriguez Gonzales, Jonathan E Butner, Michelle L Litchman

JMIR Res Protoc 2024;13:e60004

Moderating Effect of Depression on Glycemic Control in an eHealth Intervention Among Black Youth With Type 1 Diabetes: Findings From a Multicenter Randomized Controlled Trial

Moderating Effect of Depression on Glycemic Control in an eHealth Intervention Among Black Youth With Type 1 Diabetes: Findings From a Multicenter Randomized Controlled Trial

Adolescence is a period of risk for youth with type 1 diabetes (T1 D), as the transition to independent diabetes management is challenging for families to navigate [1], affecting glycemic control [2]. Black adolescents with T1 D are at even higher risk for diabetes-related health disparities, such as elevated blood glucose levels [3], hospital admissions [4], and diabetes distress [5].

Deborah Ellis, April Idalski Carcone, Thomas Templin, Meredyth Evans, Jill Weissberg-Benchell, Colleen Buggs-Saxton, Claudia Boucher-Berry, Jennifer L Miller, Tina Drossos, M Bassem Dekelbab

JMIR Diabetes 2024;9:e55165

Internet-Based Recruitment and Retention of Young Adults With Type 1 Diabetes: Cross-Sectional Study

Internet-Based Recruitment and Retention of Young Adults With Type 1 Diabetes: Cross-Sectional Study

Young adults with type 1 diabetes (T1 D) achieve glycemic targets at the lowest rates compared to other age groups [1]. However, there is a limited research focus on this specific age group [2,3]. Innovative, inclusive, and accessible approaches are required to address the individual circumstances preventing young adults with T1 D from achieving optimal diabetes and overall health [4,5].

Stephanie Griggs, Garrett I Ash, Grant Pignatiello, AnnMarie Papik, Johnathan Huynh, Mary Leuchtag, Ronald L Hickman Jr

JMIR Form Res 2023;7:e46415

Response Consistency of Crowdsourced Web-Based Surveys on Type 1 Diabetes

Response Consistency of Crowdsourced Web-Based Surveys on Type 1 Diabetes

Patient registries for type 1 diabetes (T1 D) are often developed through collaborations among large medical centers [1]. Amazon Mechanical Turk (MTurk), a confidential web-based crowdsourcing platform with more than half a million registered workers [2], may serve as an alternative route for cost-effectively surveying large samples of patients with T1 D receiving care in geographically dispersed health care environments.

Yu Kuei Lin, Sean Newman, John Piette

J Med Internet Res 2023;25:e43593

An “All-Data-on-Hand” Deep Learning Model to Predict Hospitalization for Diabetic Ketoacidosis in Youth With Type 1 Diabetes: Development and Validation Study

An “All-Data-on-Hand” Deep Learning Model to Predict Hospitalization for Diabetic Ketoacidosis in Youth With Type 1 Diabetes: Development and Validation Study

Despite advances in technologies and insulin analogs used to treat type 1 diabetes (T1 D), 7% to 10% of youth and young adults with preexisting T1 D in the United States still experience preventable hospital admissions for diabetic ketoacidosis (DKA) annually; this rate is increasing [1-3]. DKA is a severe metabolic decompensation caused by absolute insulin deficiency. DKA is also a leading cause of morbidity and mortality in youth with T1 D, accounting for approximately 50% of all deaths in this population.

David D Williams, Diana Ferro, Colin Mullaney, Lydia Skrabonja, Mitchell S Barnes, Susana R Patton, Brent Lockee, Erin M Tallon, Craig A Vandervelden, Cintya Schweisberger, Sanjeev Mehta, Ryan McDonough, Marcus Lind, Leonard D'Avolio, Mark A Clements

JMIR Diabetes 2023;8:e47592

Glycemic Outcomes and Feature Set Engagement Among Real-Time Continuous Glucose Monitoring Users With Type 1 or Non–Insulin-Treated Type 2 Diabetes: Retrospective Analysis of Real-World Data

Glycemic Outcomes and Feature Set Engagement Among Real-Time Continuous Glucose Monitoring Users With Type 1 or Non–Insulin-Treated Type 2 Diabetes: Retrospective Analysis of Real-World Data

Statistical significance tests were not performed given that the large sample sizes of the T1 D and NIT T2 D groups would result in very small between-group differences considered statistically significant at conventional Type 1 error rate alpha levels. A total of 33,685 US-based users of an RT-CGM system were included in the analysis and self-identified as having either T1 D (n=26,706) or T2 D and not using insulin (n=6979).

Robert Dowd, Lauren H Jepson, Courtney R Green, Gregory J Norman, Roy Thomas, Keri Leone

JMIR Diabetes 2023;8:e43991

Feasibility and Impact of Remote Glucose Monitoring Among Patients With Newly Diagnosed Type 1 Diabetes: Single-Center Pilot Study

Feasibility and Impact of Remote Glucose Monitoring Among Patients With Newly Diagnosed Type 1 Diabetes: Single-Center Pilot Study

The management of type 1 diabetes (T1 D) is labor-intensive and data-driven for both patients and providers. The advent of continuous glucose monitoring (CGM) devices and insulin pumps has dramatically increased the volume of patient-generated health data (PGHD) available for T1 D management [1,2], and mobile health apps have begun to make these data accessible remotely.

Stephanie Crossen, Crystal Romero, Allison Reggiardo, Jimi Michel, Nicole Glaser

JMIR Diabetes 2022;7(1):e33639

Human Factors and Data Logging Processes With the Use of Advanced Technology for Adults With Type 1 Diabetes: Systematic Integrative Review

Human Factors and Data Logging Processes With the Use of Advanced Technology for Adults With Type 1 Diabetes: Systematic Integrative Review

Individuals with type 1 diabetes (T1 D) are confronted with complex tasks through which to manage their blood glucose (BG) levels. T1 D is an autoimmune disease where the beta cells in the pancreas no longer produce insulin, resulting in dangerously high BG levels or hyperglycemia. The person diagnosed with T1 D is subsequently required to self-administer insulin. This involves regular self-monitoring of BG levels and calculation of appropriate insulin doses.

Marion Waite, Clare Martin, Rachel Franklin, David Duce, Rachel Harrison

JMIR Hum Factors 2018;5(1):e11