What we've found
These insights are based on correlations which are statistical links between two sets of data. While we focus only on more plausible and interesting links, they should not be seen to imply cause or effect.
In our Health Indicators Check, we ask ‘How satisfied are you with your sleep?’ This is what our Evergreen Life community said:†
Sleep helps our body and mind regenerate from the stresses and strains of daily life. Therefore, we’re exploring with our users whether poor sleep affects overall wellbeing, specifically happiness. It seems that it is strongly associated.
Does sleep affect happiness?
It’s clear from the graph above that our sleep significantly impacts our happiness. People whose lives are not affected by poor sleep report feeling happier.‡ Now that we better understand how sleep impacts aspects of our overall wellbeing, we’re interested to learn what lifestyle factors we may be able to change to help improve our sleep quality. So what can we learn from our users who sleep well?
What might improve your sleep?
A way to measure whether we’re sleeping well is by noticing how long it takes to fall asleep. The chart below shows how different factors that you can influence are associated with falling asleep quickly among our community. The green bars indicate a higher likelihood of falling asleep within 30 minutes, the red shows a lower likelihood. For example, we can see that users are more likely to fall asleep quickly if they go to bed at a regular time. However, we can't say that one causes the other.§
How to sleep better
If you want to learn more about how to improve your sleep, why not try our 6 steps to better sleep?
Correlation ≠ Causality:
All statistical associations mentioned on this page represent statistically significant (95% level) correlations only. We do not make any claim of causality running in either direction between any two variables discussed, and have controlled for variation in age, sex and the Index of Multiple Deprivation (IMD) decile only.
Based on over 16,000 evergreen users who have answered a question about being satisfied with their sleep.
Sleep and happiness:
The displayed bars are the predicted happiness score, from an ordinary least squares linear regression model. These are shown for sample average values of the covariates, switching values of poor sleep for each data point. The model controls for age, sex and IMD decile, along with a set of “sleep affects daily life” dummy variables (“Not at all” being the omitted category). All of these dummy variables are statistically significant at the 95% confidence level.
The displayed correlations are the coefficients from 6 linear probability models of falling asleep within 30 minutes, one for each item, which also control for age, sex, and IMD decile. The sleep outcome variable takes a value of 1 if a user has reported that they typically fall asleep within 30 minutes, and zero otherwise. Exercise is taken to be either moderate or vigorous exercise. All coefficients are statistically significant at the 95% confidence level.