Abstract: TH-PO288
Fragmented Physical Activity and Mortality in Patients on Hemodialysis: Insights from the Fitbit Study
Session Information
- Hemodialysis and Frequent Dialysis - 1
October 24, 2024 | Location: Exhibit Hall, Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: Dialysis
- 801 Dialysis: Hemodialysis and Frequent Dialysis
Authors
- Malhotra, Rakesh, University of California San Diego, La Jolla, California, United States
- Larsen, Britta, University of California San Diego, La Jolla, California, United States
- Dasgupta, Subhasis, University of California San Diego, La Jolla, California, United States
- Chopra, Tushar, University of Virginia, Charlottesville, Virginia, United States
- Schrauben, Sarah J., University of Pennsylvania, Philadelphia, Pennsylvania, United States
- Drew, David A., Tufts Medical Center, Boston, Massachusetts, United States
- Ikizler, Talat Alp, Vanderbilt University, Nashville, Tennessee, United States
- Kotanko, Peter, Renal Research Institute, New York, New York, United States
- Ix, Joachim H., University of California San Diego, La Jolla, California, United States
Background
Limited data suggest that lower physical activity (PA) overall is associated with poor health outcomes in hemodialysis (HD). Above and beyond total PA, little is known about fragmentation of PA (activity time before breaks). This study evaluates the association between PA fragmentation, and mortality risk among HD patients.
Methods
HD patients wore wearable activity trackers (Fitbit) between March 2018 and April 2020, with mortality data collected until December 2023. Minute-by-minute activity data over a 7-day period were used to categorize each minute as active (≥10 steps/minute) or sedentary (<10 steps/minute). Activity was further categorized by activity patterns: activity fragmentation (active to sedentary transition probability, calculated as the reciprocal of the average active bout duration), and segment length of consecutive active minutes (<5, 5-10, and ≥10 minutes). Cox proportional hazards models were used to assess the associations between activity patterns and mortality risk, adjusting for demographic, device wear time and comorbidities.
Results
We collected data on 85 HD patients (mean [SD] age, 62 [13] years; 45% women), 37 died (44%) during follow-up (mean [SD] of 3.1 [1.6] years. Participants who died tended to have a 10% higher activity fragmentation (mean [SD], 47% [6%] vs 37% [8%]; P<0.001), and a higher percentage of short activity segments (<5 minutes) (mean [SD], 51% [12%] vs 35% [10%]; P<0.001), than those who were alive at follow-up. In fully adjusted analyses, greater activity fragmentation was linked to an increased mortality risk (HR 1.54, 95% CI, 1.08-2.04). Short activity segments of < 5 minutes were associated with higher mortality risk (HR 1.32, 95% CI, 1.08-1.66) but activity segments of 5-10 and ≥ to minutes were not associated with mortality risk (Figure 1).
Conclusion
Our findings suggest that fragmented daily physical activity, especially short activity bouts < 5 minutes, is associated with mortality risk in HD patients.