Literature DB >> 29868785

The economic cost of inadequate sleep.

David Hillman1,2, Scott Mitchell3, Jared Streatfeild3, Chloe Burns3, Dorothy Bruck4, Lynne Pezzullo3.   

Abstract

Study
Objectives: To estimate the economic cost (financial and nonfinancial) of inadequate sleep in Australia for the 2016-2017 financial year and relate this to likely costs in similar economies.
Methods: Analysis was undertaken using prevalence, financial, and nonfinancial cost data derived from national surveys and databases. Costs considered included the following: (1) financial costs associated with health care, informal care provided outside healthcare sector, productivity losses, nonmedical work and vehicle accident costs, deadweight loss through inefficiencies relating to lost taxation revenue and welfare payments; and (2) nonfinancial costs of loss of well-being. They were expressed in US dollars ($).
Results: The estimated overall cost of inadequate sleep in Australia in 2016-2017 (population: 24.8 million) was $45.21 billion. The financial cost component was $17.88 billion, comprised of as follows: direct health costs of $160 million for sleep disorders and $1.08 billion for associated conditions; productivity losses of $12.19 billion ($5.22 billion reduced employment, $0.61 billion premature death, $1.73 billion absenteeism, and $4.63 billion presenteeism); nonmedical accident costs of $2.48 billion; informal care costs of $0.41 billion; and deadweight loss of $1.56 billion. The nonfinancial cost of reduced well-being was $27.33 billion. Conclusions: The financial and nonfinancial costs associated with inadequate sleep are substantial. The estimated total financial cost of $17.88 billion represents 1.55 per cent of Australian gross domestic product. The estimated nonfinancial cost of $27.33 billion represents 4.6 per cent of the total Australian burden of disease for the year. These costs warrant substantial investment in preventive health measures to address the issue through education and regulation.

Entities:  

Mesh:

Year:  2018        PMID: 29868785     DOI: 10.1093/sleep/zsy083

Source DB:  PubMed          Journal:  Sleep        ISSN: 0161-8105            Impact factor:   5.849


  38 in total

1.  Detecting sleep using heart rate and motion data from multisensor consumer-grade wearables, relative to wrist actigraphy and polysomnography.

Authors:  Daniel M Roberts; Margeaux M Schade; Gina M Mathew; Daniel Gartenberg; Orfeu M Buxton
Journal:  Sleep       Date:  2020-07-13       Impact factor: 5.849

Review 2.  Sleep and pain: recent insights, mechanisms, and future directions in the investigation of this relationship.

Authors:  Alberto Herrero Babiloni; Beatrice P De Koninck; Gabrielle Beetz; Louis De Beaumont; Marc O Martel; Gilles J Lavigne
Journal:  J Neural Transm (Vienna)       Date:  2019-08-26       Impact factor: 3.575

3.  Treatment outcomes among rural and urban patients with obstructive sleep apnea: a prospective cohort study.

Authors:  Jennifer Corrigan; Willis H Tsai; Ada Ip-Buting; Christopher Ng; Imhokhai Ogah; Peter Peller; Heather Sharpe; Cheryl Laratta; Sachin R Pendharkar
Journal:  J Clin Sleep Med       Date:  2022-04-01       Impact factor: 4.062

4.  Prevalence of common sleep disorders in a middle-aged community sample.

Authors:  Nigel McArdle; Amy C Reynolds; David Hillman; Eric Moses; Kath Maddison; Phillip Melton; Peter Eastwood
Journal:  J Clin Sleep Med       Date:  2022-06-01       Impact factor: 4.324

5.  Sleep and blood pressure.

Authors:  Simona Lattanzi; Francesco Brigo; Mauro Silvestrini
Journal:  J Clin Hypertens (Greenwich)       Date:  2018-10-30       Impact factor: 3.738

6.  Outpatient health care utilization for sleep disorders in the Cerner Health Facts database.

Authors:  Baha Al-Shawwa; Earl Glynn; Mark A Hoffman; Zarmina Ehsan; David G Ingram
Journal:  J Clin Sleep Med       Date:  2021-02-01       Impact factor: 4.062

7.  Perspectives on primary care management of obstructive sleep apnea: a qualitative study of patients and health care providers.

Authors:  Sachin R Pendharkar; Kenneth Blades; Jenny E Kelly; Willis H Tsai; Dale C Lien; Fiona Clement; Jaana Woiceshyn; Kerry A McBrien
Journal:  J Clin Sleep Med       Date:  2021-01-01       Impact factor: 4.062

8.  Self-reported poor sleep on multiple dimensions is associated with higher total health care costs in older men.

Authors:  John T Schousboe; Allyson M Kats; Katie L Stone; Lisa Langsetmo; Tien N Vo; Terri L Blackwell; Daniel J Buysse; Sonia Ancoli-Israel; Kristine E Ensrud
Journal:  Sleep       Date:  2020-10-13       Impact factor: 5.849

9.  Sleep Valuation Is Associated with Components of Sleep Health and Daytime Functioning in a College Sample: A Survey Study.

Authors:  Spencer A Nielson; Jordan Taylor; Zach Simmons; Andrea N Decker; Daniel B Kay; Matthew R Cribbet
Journal:  Int J Environ Res Public Health       Date:  2021-05-25       Impact factor: 3.390

10.  Prevalence of Insufficient Sleep and Its Associated Factors Among Working Adults in Malaysia.

Authors:  Caryn Mei Hsien Chan; Ching Sin Siau; Jyh Eiin Wong; Lei Hum Wee; Nor Aini Jamil; Victor Chee Wai Hoe
Journal:  Nat Sci Sleep       Date:  2021-07-13
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