Poor Sleep Quality Predicts Decline in Physical Health Functioning in Patients with Coronary Heart Disease and Moderating Role of Social Support

Abstract

Although sleep problems are common among patients with coronary heart disease (CHD), there is a lack of prospective research examining its influence on health consequences over time. This study investigated whether poor sleep quality predicted patients’ decline in physical health functioning over 6 months and whether social support buffered its detrimental effect. Participants were 185 patients with CHD, who completed measures of sleep, psychosocial characteristics, and physical health functioning at baseline and 6 months. Hierarchical regression analyses were conducted to examine whether global sleep index and its subscales, including sleep efficiency, perceived sleep quality, and daily disturbances (sleep disturbances and daytime dysfunction), predicted the decline of physical health functioning at 6 months. Social support was examined for its moderating effect in buffering the negative influence of poor sleep quality on physical health functioning over 6 months. Findings showed that poorer global sleep index, especially subscales of daily disturbances and lower sleep efficiency, significantly predicted greater decline of physical health functioning at 6 months, even after adjusting for covariates, including baseline functioning and depression. Moreover, social support was found to buffer the detrimental impact of poor sleep quality, especially low sleep efficiency, on 6-month physical health functioning. Findings suggest that improving sleep quality for patients with CHD may be promising to facilitate their long-term health maintenance.

Keywords:

• heart disease
• physical health functioning
• quality of life
• sleep
• social support

Disclosure statement

No potential conflict of interest was reported by the author(s)

Data availability statement

The data that support the findings of this study are available from the corresponding author (BJS) upon reasonable request.

Additional information

Funding

This work was supported by the Singapore Ministry of Education Academic Research Fund Tier 1 (Grant no. RG60/14) and a SUG award from Nanyang Technological University.