diff --git a/docs/features/fitbit-sleep-intraday.md b/docs/features/fitbit-sleep-intraday.md
index fcf1900d..ec679850 100644
--- a/docs/features/fitbit-sleep-intraday.md
+++ b/docs/features/fitbit-sleep-intraday.md
@@ -184,7 +184,7 @@ Features description for `[FITBIT_STEPS_INTRADAY][PROVIDERS][PRICE]`:
 |stdstarttimeofepisodemain`[DAY_TYPE]` |minutes           | Standard deviation of start time of the first `main` sleep episode of each day in a time segment. You can include daily start times from episodes detected on weekend days, week days or both depending on the value of the `DAY_TYPE` flag.
 |stdendtimeofepisodemain`[DAY_TYPE]`   |minutes           | Standard deviation of end time of the last `main` sleep episode of each day in a time segment. You can include daily end times from episodes detected on weekend days, week days or both depending on the value of the `DAY_TYPE` flag.
 |stdmidpointofepisodemain`[DAY_TYPE]`  |minutes           | Standard deviation of mid time between the start of the first `main` sleep episode and the end of the last `main` sleep episode of each day in a time segment. You can include episodes detected on weekend days, week days or both depending on the value of the `DAY_TYPE` flag.
-|socialjetlag                          |minutes           | Difference in minutes between the avgmidpointofepisodemain (bed time) of weekends and weekdays. 
+|socialjetlag                          |minutes           | Difference in minutes between the avgmidpointofepisodemain (average mid time between bedtime and wake time) of weekends and weekdays. 
 |meanssdstarttimeofepisodemain         |minutes squared   | Same as `avgstarttimeofepisodemain[DAY_TYPE]` but the average is computed over the squared differences of each pair of consecutive start times.
 |meanssdendtimeofepisodemain           |minutes squared   | Same as `avgendtimeofepisodemain[DAY_TYPE]` but the average is computed over the squared differences of each pair of consecutive end times.
 |meanssdmidpointofepisodemain          |minutes squared   | Same as `avgmidpointofepisodemain[DAY_TYPE]` but the average is computed over the squared differences of each pair of consecutive mid times.