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dc.creatorRavalli, Silvia
dc.creatorRoggio, Federico
dc.creatorLauretta, Giovanni
dc.creatorDi Rosa, Michelino
dc.creatorD'Amico, Agata Grazia
dc.creatorD'agata, Velia
dc.creatorMaugeri, Grazia
dc.creatorMusumeci, Giuseppe
dc.date.accessioned2022-04-22T20:27:46Z
dc.date.available2022-04-22T20:27:46Z
dc.date.issued2022-02-22
dc.identifier.issn2405-8440
dc.identifier.doihttp://dx.doi.org/10.34944/dspace/7539
dc.identifier.urihttp://hdl.handle.net/20.500.12613/7561
dc.description.abstractOsteoarthritis is a degenerative joint disease that affects millions of people worldwide. Current guidelines emphasize the importance of regular physical activity as a preventive measure against disease progression and as a valuable strategy for pain and functionality management. Despite this, most patients with osteoarthritis are inactive. Modern technological advances have led to the implementation of digital devices, such as wearables and smartphones, showing new opportunities for healthcare professionals and researchers to monitor physical activity and therefore engage patients in daily exercising. Additionally, digital devices have emerged as a promising tool for improving frequent health data collection, disease monitoring, and supporting public health surveillance. The leveraging of digital data has laid the foundation for developing a new concept of epidemiological study, known as "Digital Epidemiology". Analyzing real-world data can change the way we observe human behavior and suggest health interventions, as in the case of physical exercise and osteoarthritic patients. Furthermore, large-scale data could contribute to personalized and precision medicine in the future. Herein, an overview of recent clinical applications of wearables for monitoring physical activity in patients with osteoarthritis and the benefits of exploiting real-world data in the context of digital epidemiology are discussed.
dc.format.extent7 pages
dc.languageEnglish
dc.language.isoeng
dc.relation.ispartofCOVID-19 Research
dc.relation.haspartHeliyon, Vol. 8
dc.relation.isreferencedbyElsevier
dc.rightsAttribution CC BY
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectPhysical activity
dc.subjectOsteoarthritis
dc.subjectDigital epidemiology
dc.subjectDigital devices
dc.subjectExercise
dc.titleExploiting real-world data to monitor physical activity in patients with osteoarthritis: the opportunity of digital epidemiology
dc.typeText
dc.type.genreJournal article
dc.description.departmentBiology
dc.relation.doihttps://doi.org/10.1016/j.heliyon.2022.e08991
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.description.schoolcollegeTemple University. College of Science and Technology
dc.temple.creatorMusumeci, Giuseppe
refterms.dateFOA2022-04-22T20:27:46Z


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