BACKGROUND: A mobile phone-based application can be useful for patients with type 1 diabetes in managing their disease. This results in large datasets accumulated on the patient's devices, which can be used for individualized feedback.
OBJECTIVE: Depression is common in diabetes and linked to adverse health outcomes. This study evaluated the efficacy of a guided web-based intervention in reducing depression in adults with type 1 and type 2 diabetes.
BACKGROUND: Wearable computing has long been described as the solution to many health challenges. However, the use of this technology as a diabetes patient self-management tool has not been fully explored.
BACKGROUND: A diagnosis of diabetes mellitus types 1 or 2 doubles the odds of a comorbid depressive disorder. The combined diseases have a wide range of adverse outcomes, such as a lower quality of life, poorer diabetes outcomes and increased healthcare utilisation.
BACKGROUND: Persistently poor glycemic control in adult type 1 diabetes patients is a common, complex, and serious problem initiating significant damage to the cardiovascular, renal, neural, and visual systems.
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