Abstract 4362712: Beyond the Beat: Mobile Health Technology Reveals Hidden Sleep-Activity-Mood Connections in Community-Dwelling Heart Failure Patients

Abstract

Sleep problems are common among heart failure patients. In recent years, the increased accessibility of mobile devices has made them valuable tools for collecting objective sleep data. The objective of the study is to investigate the relationships between sleep status, demographic characteristics, physical activity, and psychological state in heart failure patients. Cross-sectional correlational study design was used and participants from community-dwelling heart failure patients were recruited. Data collection instruments included the Minnesota Living with Heart Failure Questionnaire (MLHFQ), Garmin Vivofit 3 activity tracker, and Brief Symptom Inventory (BSI) to measure sleep-related factors including depression and anxiety. Independent t-tests, ANOVA, and regression analyses were employed to explore factors influencing sleep. Seventy-six heart failure patients (mean age 53.7 ± 14.6 years; 72.4% male; 25% New York Heart Association class III/IV) participated. The average daily sleep duration was 434.39 minutes, with moderate self-reported sleep quality. Married participants, those with higher anxiety and depression reported poorer subjective sleep quality. Higher step counts correlated with better perceived sleep quality. Higher body mass index (BMI) was associated with shorter objective sleep duration. After controlling for demographic variables, BMI, anxiety, and depression predicted subjective sleep perception. Exercise duration predicted total sleep time. Sleep quality varies greatly among heart failure patients. Obesity, depression, and anxiety negatively impact sleep, while adequate physical activity benefits sleep. These findings can inform interventions to improve sleep in heart failure patients. It is recommended to conduct regular sleep assessments for heart failure patients with BMI above the normal range, and to utilize brief psychological health scales during outpatient follow-up visits to screen for patients with anxiety and depressive tendencies, enabling early intervention to provide necessary psychological support and sleep hygiene education.