Mobile device-assisted dietary ecological momentary assessments (EMAs) have emerged as a new tool allowing the evaluation of dietary intake in real time, in a real-world setting and in a continuous manner. They have the potential to minimize recall bias, participant, and investigator burden, and decrease economic and time investment while maximizing ecological validity. We developed a set of EMAs aimed at evaluating continuous adherence to the MedDiet. Four multiple-choice EMAs are sent daily in a randomized manner from a total of eight questions. The EMAs enquire about the consumption of 11 key food groups of the Mediterranean diet in the last 24-48 h in a semi-quantitative way. EMAs capture the daily frequency of consumption of fruits, vegetables, and extra virgin olive oil on different days of the week. Additionally, EMAs capture the weekly frequency of consumption of whole grain products, sugary drinks, nuts, legumes, sweets, fish and seafood, and red and processed meats. A designed scoring system behind the EMAs extracts the percentage of adherence to the MedDiet recommendations and calculates a quality index of the diet every week. Individualized reports are sent periodically to the volunteers highlighting the strengths and weaknesses of their diet. EMAs are also expected to have a behavioral effect, reinforcing the choice of Mediterranean foods.
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http://dx.doi.org/10.3791/62161 | DOI Listing |
J Orthop Surg Res
December 2024
Department of Orthopedics, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China.
Background: Physical therapy (PT) is widely employed in osteoarthritis (OA). This study aimed to explore the research development of PT for OA and to identify the emerging treatment, and verify its efficacy.
Materials And Methods: The Web of Science Core Collection was used to conduct the bibliometric analysis.
J Orthop Surg Res
October 2024
Sports Medicine Center, West China Hospital, Sichuan University, 37 Guoxue Lane, Wuhou District, Chengdu, Sichuan Province, China.
Sensors (Basel)
April 2024
Engineering and Technology, Central Queensland University, Brisbane 4000, Australia.
Delay-sensitive task offloading in a device-to-device assisted mobile edge computing (D2D-MEC) system with energy harvesting devices is a critical challenge due to the dynamic load level at edge nodes and the variability in harvested energy. In this paper, we propose a joint dynamic task offloading and CPU frequency control scheme for delay-sensitive tasks in a D2D-MEC system, taking into account the intricacies of multi-slot tasks, characterized by diverse processing speeds and data transmission rates. Our methodology involves meticulous modeling of task arrival and service processes using queuing systems, coupled with the strategic utilization of D2D communication to alleviate edge server load and prevent network congestion effectively.
View Article and Find Full Text PDFJ Vis Exp
February 2023
Department of Nutrition, Harvard T. H. Chan School of Public Health.
Lasschuijt, M. P. et al.
View Article and Find Full Text PDFJ Vis Exp
September 2021
Integrative Pharmacology and Systems Neurosciences Research Group, Neurosciences Research Program, Hospital del Mar Medical Research Institute (IMIM); Department of Experimental and Health Sciences, University Pompeu Fabra; CIBER de Fisiopatología de la Obesidad y la Nutrición (CIBEROBN), Instituto de Salud Carlos III.
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