Výsledky vyhledávání - "Goyal, Shivani"

Dissertation/ Thesis

Behavioral Training of Reward Learning Increases Reinforcement Learning Parameters and Decreases Depression Symptoms Across Repeated Sessions

Autor: Goyal, Shivani

Background: Disrupted reward learning has been suggested to contribute to the etiology and maintenance of depression. If deficits in reward learning are core to depression, we would expect that improving reward learning would decrease depression symp

Externí odkaz: https://hdl.handle.net/10919/117700

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Akademický článek

The Challenges of COVID-19 for People Living With Diabetes: Considerations for Digital Health

Autor: Gamble, Anissa, Pham, Quynh, Goyal, Shivani, Cafazzo, Joseph A

Publikováno v: JMIR Diabetes, Vol 5, Iss 2, p e19581 (2020)

The coronavirus disease (COVID-19) is a global pandemic that significantly impacts people living with diabetes. Diabetes-related factors of glycemic control, medication pharmacodynamics, and insulin access can impact the severity of a COVID-19 infect

Externí odkaz: https://doaj.org/article/69defa8c26474c4bbd699c8f8d463ea3

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Akademický článek

A Mobile App for the Self-Management of Type 1 Diabetes Among Adolescents: A Randomized Controlled Trial

Autor: Goyal, Shivani, Nunn, Caitlin A, Rotondi, Michael, Couperthwaite, Amy B, Reiser, Sally, Simone, Angelo, Katzman, Debra K, Cafazzo, Joseph A, Palmert, Mark R

Publikováno v: JMIR mHealth and uHealth, Vol 5, Iss 6, p e82 (2017)

BackgroundWhile optimal blood glucose control is known to reduce the long-term complications associated with type 1 diabetes mellitus, adolescents often struggle to achieve their blood glucose targets. However, their strong propensity toward technolo

Externí odkaz: https://doaj.org/article/26c59b720066440781042b7a1761db17

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Akademický článek

Uptake of a Consumer-Focused mHealth Application for the Assessment and Prevention of Heart Disease: The

Autor: Goyal, Shivani, Morita, Plinio P, Picton, Peter, Seto, Emily, Zbib, Ahmad, Cafazzo, Joseph A

Publikováno v: JMIR mHealth and uHealth, Vol 4, Iss 1, p e32 (2016)

BackgroundLifestyle behavior modification can reduce the risk of cardiovascular disease, one of the leading causes of death worldwide, by up to 80%. We hypothesized that a dynamic risk assessment and behavior change tool delivered as a mobile app, ho

Externí odkaz: https://doaj.org/article/feaa2f45f9a94e9289ccce1ea2e175e0

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