Abstract 18530: Associations Among Self-Reported and Physiologic Sleep Measurements and Fatigue in Adults Following Major Cardiac Events

Background: Insufficient sleep contributes to fatigue and cardiometabolic disorders. Current sleep measures vary in accuracy, with weak correlations between self-report and physiologic measures. Developing reliably associated self-report and physiologic sleep measures can optimize data collection methods.

Purpose: Investigate correlations between self-reported and physiologic sleep measures in cardiac rehabilitation patients and determine associations with fatigue.

Methods: Participants (N = 25, 58% male, 89% non-Hispanic white, mean age = 61 years) recruited from cardiac rehabilitation centers participated in a three-arm RCT. Inclusion criteria were experiencing a myocardial infarction or revascularization procedure, enrollment in cardiac rehabilitation, and experiencing depression or anxiety. Participants without complete sleep measures were excluded. Data was collected at baseline, 3-, and 6-months. Sleep was measured over 8 days with an investigator-developed self-report diary and an ActiGraph GT9X Link accelerometer. ActiGraphs collected data with a 30Hz sampling rate and were scored using the autodetected sleep periods to determine total sleep time. Mean daily minutes of sleep were calculated from self-report and ActiGraph data. Participants also completed a demographics survey and Fatigue Severity Scale. Statistical methods included Pearson correlation coefficients with 95% confidence intervals (CI) estimated with Fisher's r-to-z transformation.

Results: Results showed self-reported and ActiGraph measured sleep were highly correlated (r = 0.889, [95% CI 0.812, 0.935], p < 0.001). Fatigue was not correlated with self-reported (r = 0.074, [95% CI -0.206, 0.342] p = 0.607) or ActiGraph measured sleep (r = 0.150, [95% CI -0.131, 0.408] p = 0.295). Even though the finding was non-significant, the correlation between fatigue and ActiGraph measured sleep was larger than self-reported sleep.

Conclusion: Accurate sleep measures are essential to inform future research and interventions. Unlike past work, this investigator-developed, self-report measure was strongly correlated with the physiologic measure. Researchers should consider reliability when selecting sleep measures.