Diabetes Surveillance and Epidemiology

Antibiotic Use In Utero and Early Life and Risk of Chronic Childhood Conditions in New Zealand: Protocol for a Data Linkage Retrospective Cohort Study

Sharan Ram, Marine Corbin, Andrea 't Mannetje, Amanda Eng, Amanda Kvalsvig, Michael G Baker, Jeroen Douwes

JMIR Res Protoc 2025 (Feb 28); 14:e66184

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Identification of Clusters in a Population With Obesity Using Machine Learning: Secondary Analysis of The Maastricht Study

Maik JM Beuken, Melanie Kleynen, Susy Braun, Kees Van Berkel, Carla van der Kallen, Annemarie Koster, Hans Bosma, Tos TJM Berendschot, Alfons JHM Houben, Nicole Dukers-Muijrers, Joop P van den Bergh, Abraham A Kroon, Maastricht Study Management, Iris M Kanera

JMIR Med Inform 2025 (Feb 05); 13:e64479

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Use of the FHTHWA Index as a Novel Approach for Predicting the Incidence of Diabetes in a Japanese Population Without Diabetes: Data Analysis Study

Jiao Wang, Jianrong Chen, Ying Liu, Jixiong Xu

JMIR Med Inform 2025 (Jan 28); 13:e64992

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Comparing Insulin Against Glucagon-Like Peptide-1 Receptor Agonists, Dipeptidyl Peptidase-4 Inhibitors, and Sodium-Glucose Cotransporter 2 Inhibitors on 5-Year Incident Heart Failure Risk for Patients With Type 2 Diabetes Mellitus: Real-World Evidence Study Using Insurance Claims

Xuan Wang, Anna M Plantinga, Xin Xiong, Sara J Cromer, Clara-Lea Bonzel, Vidul Panickan, Rui Duan, Jue Hou, Tianxi Cai

JMIR Diabetes 2024 (Oct 22); 9:e58137

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Machine Learning–Based Prediction for High Health Care Utilizers by Using a Multi-Institutional Diabetes Registry: Model Training and Evaluation

Joshua Kuan Tan, Le Quan, Nur Nasyitah Mohamed Salim, Jen Hong Tan, Su-Yen Goh, Julian Thumboo, Yong Mong Bee

JMIR AI 2024 (Oct 17); 3:e58463

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Addressing Information Biases Within Electronic Health Record Data to Improve the Examination of Epidemiologic Associations With Diabetes Prevalence Among Young Adults: Cross-Sectional Study

Sarah Conderino, Rebecca Anthopolos, Sandra S Albrecht, Shannon M Farley, Jasmin Divers, Andrea R Titus, Lorna E Thorpe

JMIR Med Inform 2024 (Oct 01); 12:e58085

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Changes in 10-Year Predicted Cardiovascular Disease Risk for a Multiethnic Semirural Population in South East Asia: Prospective Study

Hamimatunnisa Johar, Chiew Way Ang, Roshidi Ismail, Zaid Kassim, Tin Tin Su

JMIR Public Health Surveill 2024 (Sep 26); 10:e55261

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Machine Learning–Based Hyperglycemia Prediction: Enhancing Risk Assessment in a Cohort of Undiagnosed Individuals

Kolapo Oyebola, Funmilayo Ligali, Afolabi Owoloye, Blessing Erinwusi, Yetunde Alo, Adesola Z Musa, Oluwagbemiga Aina, Babatunde Salako

JMIRx Med 2024 (Sep 11); 5:e56993

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Prevalence and Risk Factors of Chronic Kidney Disease in Patients With Type 2 Diabetes in China: Cross-Sectional Study

Lixin Shi, Yaoming Xue, Xuefeng Yu, Yangang Wang, Tianpei Hong, Xiaoying Li, Jianhua Ma, Dalong Zhu, Yiming Mu

JMIR Public Health Surveill 2024 (Aug 30); 10:e54429

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Prevalence, Awareness, Treatment, and Control of Type 2 Diabetes in South Korea (1998 to 2022): Nationwide Cross-Sectional Study

Wonwoo Jang, Seokjun Kim, Yejun Son, Soeun Kim, Hyeon Jin Kim, Hyesu Jo, Jaeyu Park, Kyeongmin Lee, Hayeon Lee, Mark A Tully, Masoud Rahmati, Lee Smith, Jiseung Kang, Selin Woo, Sunyoung Kim, Jiyoung Hwang, Sang Youl Rhee, Dong Keon Yon

JMIR Public Health Surveill 2024 (Aug 27); 10:e59571

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Insights Into Sociodemographic Influences on Type 2 Diabetes Care and Opportunities for Digital Health Promotion in Port Harcourt, Nigeria: Quantitative Study

Oritsetimeyin Arueyingho, Jonah Sydney Aprioku, Paul Marshall, Aisling Ann O'Kane

JMIR Diabetes 2024 (Aug 21); 9:e56756

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Proactive Identification of Patients with Diabetes at Risk of Uncontrolled Outcomes during a Diabetes Management Program: Conceptualization and Development Study Using Machine Learning

Arash Khalilnejad, Ruo-Ting Sun, Tejaswi Kompala, Stefanie Painter, Roberta James, Yajuan Wang

JMIR Form Res 2024 (Apr 26); 8:e54373

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Exploring the Pathways of Diabetes Foot Complications Treatment and Investigating Experiences From Frontline Health Care Professionals: Protocol for a Mixed Methods Study

Elisavet Andrikopoulou, Panagiotis Chatzistergos, Nachiappan Chockalingam

JMIR Res Protoc 2024 (Apr 24); 13:e54852

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Assessing Priorities in a Statewide Cardiovascular and Diabetes Health Collaborative Based on the Results of a Needs Assessment: Cross-Sectional Survey Study

Elizabeth A Beverly, Sarah Koopman-Gonzalez, Jackson Wright, Kathleen Dungan, Harini Pallerla, Rose Gubitosi-Klug, Kristin Baughman, Michael W Konstan, Shari D Bolen

JMIR Form Res 2024 (Apr 12); 8:e55285

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COVID-19 Vaccination Reactions and Risk of Breakthrough Infections Among People With Diabetes: Cohort Study Derived From Community Reporters

Nancy A Dreyer, Kendall B Knuth, Yiqiong Xie, Matthew W Reynolds, Christina D Mack

JMIR Diabetes 2024 (Feb 27); 9:e45536

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Optimal Look-Back Period to Identify True Incident Cases of Diabetes in Medical Insurance Data in the Chinese Population: Retrospective Analysis Study

Wenyi Yang, Baohua Wang, Shaobo Ma, Jingxin Wang, Limei Ai, Zhengyu Li, Xia Wan

JMIR Public Health Surveill 2023 (Nov 06); 9:e46708

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Association Between Metabolic Syndrome and Mortality: Prospective Cohort Study

Wenzhen Li, Dajie Chen, Ying Peng, Zuxun Lu, Mei-Po Kwan, Lap Ah Tse

JMIR Public Health Surveill 2023 (Sep 05); 9:e44073

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Patterns and Trends in Mortality Associated With and Due to Diabetes Mellitus in a Transitioning Region With 3.17 Million People: Observational Study

Xiaopan Li, Ru Liu, Yichen Chen, Yan Han, Qizhe Wang, Yaxin Xu, Jing Zhou, Sunfang Jiang

JMIR Public Health Surveill 2023 (Sep 04); 9:e43687

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Evaluation of Diabetes Care Performance in Cambodia Through the Cascade-of-Care Framework: Cross-Sectional Study

Vannarath Te, Srean Chhim, Veerle Buffel, Wim Van Damme, Josefien van Olmen, Por Ir, Edwin Wouters

JMIR Public Health Surveill 2023 (Jun 22); 9:e41902

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The Epidemiological Characteristics of Noncommunicable Diseases and Malignant Tumors in Guiyang, China: Cross-sectional Study

Qibing Zeng, Jingyuan Yang, Ziyun Wang, Haiyan Liu, Junhua Wang, Tingting Yang, Jin Hu, Han Guan, Yun Lu, Huijuan Liu, Feng Hong

JMIR Public Health Surveill 2022 (Oct 28); 8(10):e36523

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