Blood Purification · 2021 · 18 citations · 15 references
EducationHealth BehaviorHealth AssessmentHemodialysisPhysical ActivityHealth Status MeasurementPhysical Activity AssessmentPhysical Activity EpidemiologyPhysical FitnessActivity Level MonitoringFollow-up DurationObservational Study EvaluationPhysical Activity IntensityPhysical Activity QuestionnairesStay-at-home Orders
BACKGROUND/OBJECTIVES: On March 22, 2020, a statewide stay-at-home order for nonessential tasks was implemented in New York State. We aimed to determine the impact of the lockdown on physical activity levels (PAL) in hemodialysis patients. METHODS: Starting in May 2018, we are conducting an observational study with a 1-year follow-up on PAL in patients from 4 hemodialysis clinics in New York City. Patients active in the study as of March 22, 2020, were included. PAL was defined by steps taken per day measured by a wrist-based monitoring device (Fitbit Charge 2). Average steps/day were calculated for January 1 to February 13, 2020, and then weekly from February 14 to June 30. RESULTS: 42 patients were included. Their mean age was 55 years, 79% were males, and 69% were African Americans. Between January 1 and February 13, 2020, patients took on average 5,963 (95% CI 4,909-7,017) steps/day. In the week prior to the mandated lockdown, when a national emergency was declared, and in the week of the shutdown, the average number of daily steps had decreased by 868 steps/day (95% CI 213-1,722) and 1,222 steps/day (95% CI 668-2300), respectively. Six patients were diagnosed with COVID-19 during the study period. Five of them exhibited significantly higher PAL in the 2 weeks prior to showing COVID-19 symptoms compared to COVID-19 negative patients. CONCLUSION: Lockdown measures were associated with a significant decrease in PAL in hemodialysis patients. Patients who contracted COVID-19 had higher PAL during the incubation period. Methods to increase PAL while allowing for social distancing should be explored and implemented.
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Stephen A. Lauer, Kyra H. Grantz, Qifang Bi et al. · Annals of Internal Medicine · 2020 · 6.6K citations · Full text
Veterinary Medicine, Infectious Disease Control, Infectious Diseases +17
Wearable sensor data and self-reported symptoms for COVID-19 detection
Giorgio Quer, Jennifer M. Radin, Matteo Gadaleta et al. · Nature Medicine · 2020 · 480 citations · Full text
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Tejaswini Mishra, Meng Wang, Ahmed A. Metwally et al. · Nature Biomedical Engineering · 2020 · 474 citations · Full text