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Sleep Timing May Predict Congestive Heart Failure: A Community-Based Cohort Study.

ABSTRACT: Background Previous studies have suggested that sleep timing is associated with cardiovascular risk factors. However, there is no evidence on the relationship between sleep timing and congestive heart failure (CHF). We aimed to examine this relationship in this study. Methods and Results We recruited 4765 participants (2207 men; mean age, 63.6±11.0 years) from the SHHS (Sleep Heart Health Study) database in this multicenter prospective cohort study. Follow-up was conducted until the first CHF diagnosis between baseline and the final censoring date. Sleep timing (bedtimes and wake-up times on weekdays and weekends) was based on a self-reported questionnaire. Cox proportional hazard models were constructed to investigate the association between sleep timing and CHF. During the mean follow-up period of 11 years, 519 cases of CHF (10.9%) were reported. The multivariable Cox proportional hazards models revealed that participants with weekday bedtimes >12:00 am (hazard ratio [HR], 1.56; 95% CI, 1.15-2.11; P=0.004) and from 11:01 pm to 12:00 am (HR, 1.25; 95% CI, 1.00-1.56; P=0.047) had an increased risk of CHF compared with those with bedtimes from 10:01 pm to 11:00 pm. After stratified analysis, the association was intensified in participants with a self-reported sleep duration of 6 to 8 hours. Furthermore, wake-up times >8:00 am on weekdays (HR, 1.53; 95% CI, 1.07-2.17; P=0.018) were associated with a higher risk of incident CHF than wake-up times ≤6:00 am. Conclusions Delayed bedtimes (>11:00 pm) and wake-up times (>8:00 am) on weekdays were associated with an increased risk of CHF.

SUBMITTER: Yan B

PROVIDER: S-EPMC8174199 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:Heart failure (HF) continues to be a leading cause of hospital admissions, particularly in underserved patients. We hypothesised that providing individualised self-management support to patients and feedback on use of evidence-based HF therapies (EBT) to physicians could lead to improvements in care and decrease hospitalisations. To assess the feasibility of conducting a larger trial testing the efficacy of this dual-level intervention, we conducted the Congestive Heart failure Adherence Redesign Trial Pilot (CHART-P), a proof-of-concept, quasi-experimental, feasibility pilot study.A large tertiary care medical centre in Chicago.Low-income patients (<US$30,000/year) hospitalised for exacerbation of systolic HF (ejection fraction ?50%) and their physicians. Twenty physicians and 33 patients were enrolled, of whom 23 patients completed the study.Physicians received HF guidelines and periodic individualised feedback on their adherence to EBT. Patients received HF education, support and self-management training for diet and medication adherence by a trained nurse through 11 interactive sessions over a 4-month period. Evaluations were conducted pre-enrolment and 1 month postintervention completion.Feasibility was assessed by the ability to deliver intervention to patients and physicians. Exploratory outcomes included changes in medication and sodium intake for patients and adherence to EBT for physicians.Eighty-seven per cent and 82% of patients received >80% of interventions at 1 month and by study completion, respectively. Median sodium intake declined (3.5 vs 2.0 g; p<0.01). There was no statistically significant change in medication adherence based on electronic pill cap monitoring or the Morisky Medication Adherence Scale (MMAS); however, there was a trend towards improved adherence based on MMAS. All physicians received timely intervention.This pilot study demonstrated that the protocol was feasible. It provided important insights about the need for intervention and the difficulties in treating patients with a variety of psychosocial problems that undercut their effective care.

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Sleep Timing May Predict Congestive Heart Failure: A Community-Based Cohort Study.

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