Publications by authors named "J Godino"

Objective: To compare the effectiveness of a static, text-based diabetes education and support intervention (Dulce Digital, DD) versus a dynamic approach with personalized feedback and goal setting (Dulce Digital-Me, DD-Me) in improving diabetes outcomes.

Design And Methods: Comparative effectiveness trial in 310 Latine adults with poorly managed type 2 diabetes in a Federally Qualified Health Center in Southern California, randomized to DD, DD-Me-Auto (algorithm-driven text-based personalized feedback), or DD-Me-Tel (coach delivered personalized feedback). Changes in HbA1c (primary outcome), low-density lipoprotein-cholesterol, systolic blood pressure, and patient-reported outcomes were examined across 6 and 12 months, with the primary comparison being DD versus DD-Me (combined automated and telephonic).

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Background: California's relatively low smoking rate (10.1% in 2019-2020) (About CHIS, UCLA Center for Health Policy Research, 2024) masks deep disparities among low-income populations, where smoking rates are nearly double that of their middle- to upper-income peers. Low-income smokers report a similar desire to quit and similar rates of recent quit attempts as smokers from other groups; yet, they often face barriers in accessing effective resources to facilitate successful cessation.

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Introduction: The communication of information about the risk of type 2 diabetes (T2D) alone has not been associated with changes in habitual behaviours among individuals of European ancestry. In contrast, the use of wearable devices that monitor physical activity (PA) has been associated with behavioural changes in some studies. It is uncertain whether risk communication might enhance the effects of wearable devices.

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Background: Motion Tape (MT) is a low-profile, disposable, self-adhesive wearable sensor that measures skin strain. Preliminary studies have validated MT for measuring lower back movement. However, further analysis is needed to determine if MT can be used to measure lower back muscle engagement.

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Background: Aging results in changes in resting state functional connectivity within key networks associated with cognition. Cardiovascular function, physical activity, sleep, and body composition may influence these age-related changes in the brain. Better understanding these associations may help clarify mechanisms related to brain aging and guide interventional strategies to reduce these changes.

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