Zobrazeno 1 - 10
of 227
pro vyhledávání: '"Daniel E Rivera"'
Autor:
Junghwan Park, Meelim Kim, Mohamed El Mistiri, Rachael Kha, Sarasij Banerjee, Lisa Gotzian, Guillaume Chevance, Daniel E Rivera, Predrag Klasnja, Eric Hekler
Publikováno v:
JMIR Research Protocols, Vol 12, p e52161 (2023)
BackgroundJust-in-time adaptive interventions (JITAIs) are designed to provide support when individuals are receptive and can respond beneficially to the prompt. The notion of a just-in-time (JIT) state is critical for JITAIs. To date, JIT states hav
Externí odkaz:
https://doaj.org/article/312f8799d91a45d093e8628997299419
Publikováno v:
JMIR mHealth and uHealth, Vol 11, p e44296 (2023)
BackgroundPhysical inactivity is associated with numerous health risks, including cancer, cardiovascular disease, type 2 diabetes, increased health care expenditure, and preventable, premature deaths. The majority of Americans fall short of clinical
Externí odkaz:
https://doaj.org/article/8f8d1c0643d34fb5a165fe2e5c11329e
Publikováno v:
Revista Iberoamericana de Automática e Informática Industrial RIAI, Vol 19, Iss 3, Pp 297-308 (2022)
La inactividad física es uno de los principales factores que contribuyen a la morbilidad y la mortalidad en todo el mundo. Muchas intervenciones comportamentales de actividad física en la actualidad han mostrado un éxito limitado al abordar el pro
Externí odkaz:
https://doaj.org/article/501a30ab82ee4b138ee69bd8e33cdbdc
Autor:
Abigail M. Pauley, Emily E. Hohman, Krista S. Leonard, Penghong Guo, Katherine M. McNitt, Daniel E. Rivera, Jennifer S. Savage, Danielle Symons Downs
Publikováno v:
Clocks & Sleep, Vol 2, Iss 4, Pp 487-501 (2020)
Pregnant women are at a high risk for experiencing sleep disturbances, excess energy intake, low physical activity, and excessive gestational weight gain (GWG). Scant research has examined how sleep behaviors influence energy intake, physical activit
Externí odkaz:
https://doaj.org/article/a7eb570df7b54f0cb47a839293abc06d
Autor:
Giulia Giordano, Declan Bates, Pasquale Palumbo, Philip E. Paré, Daniel E. Rivera, Steffen Waldherr
Publikováno v:
International Journal of Robust and Nonlinear Control. 33:4703-4707
Autor:
Luca Ranghetti, Daniel E. Rivera, Penghong Guo, Antonio Visioli, Jennifer Savage Williams, Danielle Symons Downs
Publikováno v:
International Journal of Robust and Nonlinear Control. 33:5105-5127
Autor:
Abigail M. Pauley, Emily Hohman, Jennifer S. Savage, Daniel E. Rivera, Penghong Guo, Krista S. Leonard, Danielle Symons Downs
Publikováno v:
Journal of Obesity, Vol 2018 (2018)
High gestational weight gain (GWG) in overweight/obese pregnant women increases maternal-fetal complications. We conducted a 6-week GWG intervention based on an energy balance model that includes theories of planned behavior (TPB) and self-regulation
Externí odkaz:
https://doaj.org/article/894e7c4fa8c54f8fbbce1ef919adc040
BACKGROUND Physical inactivity is associated with numerous health risks, including cancer, cardiovascular disease, type 2 diabetes, increased health care expenditure, and preventable, premature deaths. The majority of Americans fall short of clinical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77b897185cbd17c56d8f9e8d6285b4aa
https://doi.org/10.2196/preprints.44296
https://doi.org/10.2196/preprints.44296
Publikováno v:
Revista iberoamericana de automatica e informatica industrial. 19(3)
Physical inactivity is a major contributor to morbidity and mortality worldwide. Many current physical activity behavioral interventions have shown limited success addressing the problem from a long-term perspective that includes maintenance. This pa
Autor:
Krista S. Leonard, Daniel E. Rivera, Penghong Guo, Katherine M McNitt, Jennifer S. Savage, Abigail M. Pauley, Allen R. Kunselman, Emily E. Hohman, Danielle Symons Downs, Christy Stetter
Publikováno v:
J Behav Med
Interventions have modest impact on reducing excessive gestational weight gain (GWG) in pregnant women with overweight/obesity. This two-arm feasibility randomized control trial tested delivery of and compliance with an intervention using adapted dos