Association between sleep quality and quality of life in Singapore

Eng Hong Tay; Yen Sin Koh; Janhavi Ajit Vaingankar; Edimansyah Abdin; Rajeswari Sambasivam; Yunjue Zhang; Saleha Shafie; Mythily Subramaniam

doi:10.1007/s11136-024-03621-3

Association between sleep quality and quality of life in Singapore

Qual Life Res. 2024 Mar 12. doi: 10.1007/s11136-024-03621-3. Online ahead of print.

Authors

Eng Hong Tay¹, Yen Sin Koh², Janhavi Ajit Vaingankar², Edimansyah Abdin², Rajeswari Sambasivam², Yunjue Zhang², Saleha Shafie², Mythily Subramaniam^{2

3

4}

Affiliations

¹ Research Division, Institute of Mental Health, 10 Buangkok View, Buangkok Green, Medical Park, Singapore, 539747, Singapore. Eng_hong_tay@imh.com.sg.
² Research Division, Institute of Mental Health, 10 Buangkok View, Buangkok Green, Medical Park, Singapore, 539747, Singapore.
³ Lee Kong Chian School of Medicine, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore.
⁴ Saw Swee Hock School of Public Health, National University of Singapore, 12 Science Drive 2, Singapore, 117549, Singapore.

PMID: 38472716
DOI: 10.1007/s11136-024-03621-3

Abstract

Purpose: Several studies have examined the relationship between sleep quality and health-related quality of life (HRQOL). However, there are a lack of generalizable data on this association in Singapore. Our study aimed to (1) investigate the association between sleep quality and HRQOL and (2) examine whether age moderated these associations.

Methods: Data were obtained from nationwide Singapore Mental Health Study 2016 (n = 6126, response rate = 69.5%). Sleep quality was assessed using Pittsburgh Sleep Quality Index (PSQI) where higher scores indicate poorer sleep quality. HRQOL [Physical component summary (PCS) and Mental component summary (MCS)] were measured using 12-item Short-Form Survey. Associations were investigated using multivariable linear regression models, adjusted for sociodemographic, physical, and mental comorbidities. Interactions between age and sleep quality were examined by including interaction terms individually.

Results: Poorer PSQI score was significantly associated with lower PCS (β = - 0.44) and lower MCS (β = - 0.73). Among PSQI components, lower PCS was significantly associated with subjective sleep quality (β = - 1.06), sleep duration (β = - 0.30), sleep disturbance (β = - 0.33), and daytime dysfunction (β = - 0.75). Lower MCS was significantly associated with subjective sleep quality (β = - 1.36), sleep latency (β = - 0.24), sleep disturbance (β = - 0.16), using of sleeping medication (β = - 1.12), and daytime dysfunction (β = - 2.08). Age moderated the association between PSQI score with PCS and MCS. Stronger association between PSQI score and MCS was observed in younger individuals (β = - 0.90) than older adults (β = - 0.45).

Conclusion: Our study found that poor sleep quality was associated with HRQOL of certain age groups more than others. Future studies may identify potential mediators to help people with chronic sleep problems.

Keywords: Health-related quality of Life; Mental health; Physical health; Sleep; Sleep quality.

Abstract

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