Saana Myllyntausta, Anna Pulakka, Jaana Pentti, Jussi Vahtera, Marianna Virtanen, Sari Stenholm, Association of working hours with accelerometer-based sleep duration and sleep quality on the following night among older employees, Sleep Epidemiology, Volume 3, 2023, 100060, ISSN 2667-3436, https://doi.org/10.1016/j.sleepe.2023.100060
Association of working hours with accelerometer-based sleep duration and sleep quality on the following night among older employees
|Author:||Myllyntausta, Saana1; Pulakka, Anna2,3; Pentti, Jaana4,5,6;|
1Department of Psychology and Speech-Language Pathology, University of Turku, Turku FI-20014, Finland
2Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
3Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
4Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland
5Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
6Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
7School of Educational Sciences and Psychology, Psychology, University of Eastern Finland, Joensuu, Finland
8Division of Insurance Medicine, Karolinska Institutet, Stockholm, Sweden
|Online Access:||PDF Full Text (PDF, 0.6 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe20231013140002
|Publish Date:|| 2023-10-13
This study examined the association between daily working hours and accelerometer-based sleep duration, sleep efficiency, and number of awakenings per hour of sleep on the following night among 800 older public sector employees in Finland (mean age 63 years in the first measurement they participated in, 87% women) with 4,818 measurement nights in total. Information on working hours was derived from daily logs and categorized into: 1) 6 h, 2) 7, hours 3) 8 h, 4) 9 h, and 5) 10 or more hours of work. The most common category (i.e. workdays with 8 h of work) was used as the reference category in the analyses. Nights followed by a workday and a free day were analyzed separately. No differences were observed in sleep duration between the reference group and the other working hour categories when the next day was a workday nor when the next day was a free day. After a 6-hour workday, sleep efficiency was on average 1.0 percentage points higher and there were on average 0.13 less awakenings per hour of sleep when compared with the reference category. When the next day was a free day, no differences in sleep quality were observed. Thus, no clear indication of a dose-response relationship between working hours and either duration or quality of sleep was found. Furthermore, future research should further examine the possibility that the association between working hours and sleep is somewhat different depending on whether the workday is followed by another workday or a free day.
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
3124 Neurology and psychiatry
This work was supported by the Academy of Finland (grant number 329240 to JV and grant numbers 286294, 294154, 319246, and 332030 to SS); the Finnish Ministry of Education and Culture (to SS); and the Finnish Work Environment Fund (grant number 190172 to MV and grant number 118060 to SS). AP was supported by the European Commission through Horizon 2020 (grant number 874739, LongITools).
|EU Grant Number:||
(874739) LONGITOOLS - Dynamic longitudinal exposome trajectories in cardiovascular and metabolic non-communicable diseases
© 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).