Self-reported suboptimal sleep and receipt of sleep assessment and treatment among persons with and without a mental health condition in Australia: a cross sectional study

Alexandra Metse; Caitlin Fehily; Tara Clinton-McHarg; Olivia Wynne; Sharon Lawn; John H Wiggers; Jenny Bowman

doi:10.1186/s12889-021-10504-6

Back

Self-reported suboptimal sleep and receipt of sleep assessment and treatment among persons with and without a mental health condition in Australia: a cross sectional study

Journal article

Open access

Peer reviewed

Self-reported suboptimal sleep and receipt of sleep assessment and treatment among persons with and without a mental health condition in Australia: a cross sectional study

Alexandra Metse, Caitlin Fehily, Tara Clinton-McHarg, Olivia Wynne, Sharon Lawn, John H Wiggers and Jenny Bowman

BMC Public Health, Vol.24, pp.1-12

2021

DOI: https://doi.org/10.1186/s12889-021-10504-6

Files and links (4)

pdf

Correction to - Self-reported suboptimal sleep and receipt of sleep assessment and treatment among persons with and without a mental health condition in Australia - a cross sectional185.02 kBDownload View

CorrectionCC BY V4.0, Open Access

pdf

Self-reported suboptimal sleep and receipt of sleep assessment and treatment among persons with and without a mental health condition in Australia - a cross sectional study723.16 kBDownload View

Published VersionCC BY V4.0, Open Access

url

https://doi.org/10.1186/s12889-021-10504-6View

Published Version

url

https://doi.org/10.1186/s12889-021-10685-0View

Correction

Abstract

mental health conditions

sleep

assessment

treatment

care provision

health risk behaviour

Background: Poor sleep and poor mental health go hand in hand and, together, can have an adverse impact on physical health. Given the already disproportionate physical health inequities experienced by people with a mental health condition worldwide, the need to consider and optimise sleep has been highlighted as a means of improving both physical and mental health status. Sleep recommendations recently developed by the United States’ National Sleep Foundation incorporate a range of sleep parameters and enable the identification of ‘suboptimal’ sleep. Among community-dwelling persons with and without a 12-month mental health condition in Australia, this study reports: [1] the prevalence of ‘suboptimal’ sleep and [2] rates of sleep assessment by a health care clinician/service and receipt of and desire for sleep treatment. Methods: A descriptive study (N = 1265) was undertaken using self-report data derived from a cross-sectional telephone survey of Australian adults, undertaken in 2017. Results: Fifteen per cent (n = 184) of participants identified as having a mental health condition in the past 12 months. Across most (7 of 8) sleep parameters, the prevalence of suboptimal sleep was higher among people with a mental health condition, compared to those without (all p < 0.05). The highest prevalence of suboptimal sleep for both groups was seen on measures of sleep duration (36–39% and 17–20% for people with and without a mental health condition, respectively). In terms of sleep assessment and treatment, people with a mental health condition were significantly more likely to: desire treatment (37% versus 16%), have been assessed (38% versus 12%) and have received treatment (30% versus 7%). Conclusions: The prevalence of suboptimal sleep among persons with a mental health condition in Australia is significantly higher than those without such a condition, and rates of assessment and treatment are low for both groups, but higher for people with a mental health condition. Population health interventions, including those delivered as part of routine health care, addressing suboptimal sleep are needed.

Details

Title: Self-reported suboptimal sleep and receipt of sleep assessment and treatment among persons with and without a mental health condition in Australia: a cross sectional study
Authors: Alexandra Metse (Author) - University of the Sunshine Coast, Queensland, School of Health and Behavioural Sciences - Legacy
Caitlin Fehily (Author) - University of Newcastle Australia
Tara Clinton-McHarg (Author) - University of Newcastle Australia
Olivia Wynne (Author) - University of Newcastle Australia
Sharon Lawn (Author) - Flinders University
John H Wiggers (Author) - Hunter Medical Research Institute
Jenny Bowman (Author) - University of Newcastle Australia
Publication details: BMC Public Health, Vol.24, pp.1-12
Publisher: BioMed Central Ltd.
Date published: 2021
DOI: 10.1186/s12889-021-10504-6
ISSN: 1471-2458
Copyright note: © The Author(s). 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
Organisation Unit: University of the Sunshine Coast, Queensland; School of Health - Psychology; School of Health and Behavioural Sciences - Legacy
Language: English
Record Identifier: 99512508502621
Output Type: Journal article

Metrics

8 File views/ downloads

25 Record Views

4 Times Cited - Web of Science

See more details

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types: Domestic collaboration
Web Of Science research areas: Public, Environmental & Occupational Health

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

Source: InCites