Lack of sleep affects long-term health
- Date:
- June 16, 2015
- Source:
- University of Copenhagen, The Faculty of Health and Medical Sciences
- Summary:
- Maintaining a good night's sleep is important for our future health, partly because of how it affects lifestyle factors. Previous population based studies have not provided sufficient information on the timing of changes in both sleep and lifestyle to tease out cause and effect relations of this highly intertwined relationship.
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New research from the University of Copenhagen has found that maintaining a good night's sleep is important for our future health, partly because of how it affects lifestyle factors. Previous population based studies have not provided sufficient information on the timing of changes in both sleep and lifestyle to tease out cause and effect relations of this highly intertwined relationship.
"This study shows that sleep affects our ability to maintain a healthy lifestyle, and when sleep deteriorates we are more likely to make unhealthy lifestyle changes," says Postdoc Alice Jessie Clark from the Department of Public Health, University of Copenhagen. The research has been published in the International Journal of Epidemiology.
Unhealthy lifestyle changes
The researchers found that maintaining a good night's sleep made it easier to maintain a healthy lifestyle. For example; they found that smokers who maintained a sleeping pattern characterized by normal sleep duration and undisturbed nights were less likely to still be smoking and more likely to have quit smoking four years on, when compared to those who either shortened their average sleep duration or experienced an increase in sleep disturbances.
Overall, similar patterns were also observed in regards to other adverse lifestyle changes, with onset of impaired sleep inflicting a higher risk of uptake of high-risk alcohol consumption (among non-risk consumers), of becoming physically inactive (among the initially physically active), and of becoming overweight or obese.
International collaboration
The research was conducted as an international collaboration between established sleep researchers and epidemiologists from Denmark and Finland, based on more than 35,000 adult Finns who participated in at least three successive waves of this large longitudinal cohort study.
For the study, the researchers made strict inclusion and exclusion criteria to identify eligible participants building on information from three successive waves of the cohort study. This enabled temporal separation between onset of impaired sleep and subsequent changes in lifestyle among participants with a stable lifestyle before experiencing deteriorations in sleep.
By way of example; in order to determine the effect of onset of disturbed sleep on risk of becoming physically inactive, the researchers followed the group of physically active undisturbed sleepers for four years (from the first to the second wave) to assess exposure status, i.e. onset of disturbed sleep (among those still physically active at the second wave). They then followed the still active participants, some of which now suffered disturbed sleeping patterns, an additional four years (until the third wave) to assess whether the risk of becoming physically inactive differed between persistent normal sleepers and those who had experienced an increase in sleep disturbances.
"Better knowledge of the importance of sleep, not just for biological restitution, but also for making healthy lifestyle decisions, may help people make informed decisions about prioritizing how to spend the night -- caching up on work emails, surfing social media or going to bed and ensuring a good night's sleep," concludes Clark.
Story Source:
Materials provided by University of Copenhagen, The Faculty of Health and Medical Sciences. Note: Content may be edited for style and length.
Journal Reference:
- A. J. Clark, P. Salo, T. Lange, P. Jennum, M. Virtanen, J. Pentti, M. Kivimaki, J. Vahtera, N. H. Rod. Onset of impaired sleep as a predictor of change in health-related behaviours; analysing observational data as a series of non-randomized pseudo-trials. International Journal of Epidemiology, 2015; DOI: 10.1093/ije/dyv063
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