Evergreen Life insights

Sleep insights

We've been asking our users about their sleeping habits.
Scroll down to find out what we've discovered.

Insights you have helped us discover

  • Those with good diets in the Evergreen community also report having better sleep* and thicker hair†.
  • Users with good diets also report higher satisfaction with their sex lives*.
  • Our users with healthy diets also report higher concentration* and energy levels*.
  • A higher percentage of males report eating more than one portion of processed meat* per week compared to females.
Scroll down to view more data on sleeping habits over the past few months
What might have affected their sleep?
The below visualisation shows our users who told us that poor sleep affected their lives and of those, how many reported drinking alcohol in the evenings, drinking caffeinated drinks in the afternoon/evening, spending time outdoors in natural light and using electronic screens before bed.
Sleep satisfaction
In our Health Indicators Check, we ask users: How satisfied are you with your sleep? The graph below shows the average score to this question in 3-day intervals over the last 20 weeks, where 0 is not satisfied and 4 is very satisfied. The pink line highlights the start of lockdown.  

There is a slight upwards trend hinting that as time goes on, people are becoming more satisfied with their sleep.  

*Statistically significant at the 99% confidence level; †Statistically significant at the 95% confidence level; ‡Statistically significant at the 90% confidence level
DISCLAIMERS: Late night caffeine drinkers, Screen users, alcohol drinkers, natural light getters are grouped as users who answered “Often” or ‘Always” to the following questions retrospectively How often do you consume caffeinated drinks in the afternoon or evening? How often do you use electronic screens before bedtime? How often do you drink alcohol in the evenings? How often do you spend time outdoors in natural light?
Gender difference graph disclaimer: Based on data from over 17,000 users. Testing for whether the differences between Males' and Females' responses are statistically significantly different from zero is done using linear regression, where the relevant question response is regressed on a binary gender indicator.
Trend line disclaimer: These graphs use information provided by over 24,000 Evergreen Life users. Percentages are displayed with a 95% confidence interval.

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