A tool used to assess sleep quality by comparing time spent asleep to total time spent in bed provides a percentage representing sleep efficiency. For example, someone in bed for 8 hours who sleeps for 7 hours has a sleep efficiency of 87.5%.
Understanding this metric can be crucial for improving rest and overall well-being. Tracking this metric provides insights into sleep patterns and potential disruptions. This awareness can be a first step towards addressing sleep issues and improving sleep hygiene. While sleep analysis has a long history, readily accessible tools to perform these calculations are a more recent development, empowering individuals to take a more proactive role in managing their sleep health.