We use cookies and other tools to enhance your experience on our website and to analyze our web traffic.
For more information about these cookies and the data collected, please refer to our Privacy Policy.

Search

sched_3010 under Sleep Questionnaires/Sleep Disturbance in STAGES variables
On average, how much total time do you spend awake during these awakenings on work (school) nights? _____ minutes
sched_3500 under Sleep Questionnaires/Sleep Disturbance in STAGES variables
On average, how much total time do you spend awake during these awakenings on work (school) nights? _____ hours
sched_3510 under Sleep Questionnaires/Sleep Disturbance in STAGES variables
On average, how much total time do you spend awake during these awakenings on work (school) nights? _____ minutes
sched_4000 under Sleep Questionnaires/Sleep Disturbance in STAGES variables
On average, how much total time do you spend awake during these awakenings on non-work (non-school) nights? _____ hours
sched_4010 under Sleep Questionnaires/Sleep Disturbance in STAGES variables
On average, how much total time do you spend awake during these awakenings on non-work (non-school) nights? _____ minutes
nsrr_ttldursp_f1 under Harmonized/Polysomnography/Sleep Architecture in NUMOM2B variables
Conventionally, this would be called total sleep time (TST) (i.e. total time spent in stage 1 or greater).Harmonized by the NSRR team. Data collected with no EEGs. Source: :ttldursp_f1t3:
begtimsp_f1t3 under Sleep Monitoring/Polysomnography/Sleep Architecture in NUMOM2B variables
ttldursp_f1t3 under Sleep Monitoring/Polysomnography/Sleep Architecture in NUMOM2B variables
Estimated sleep duration, providing an approximation of total sleep duration (i.e. total sleep time) inferred from analysis of non-EEG channels Zhao et al., 2017 (PMID:27707441)
ttleffsp_f1t3 under Sleep Monitoring/Polysomnography/Sleep Architecture in NUMOM2B variables
Estimated sleep duration, providing an approximation of total sleep duration (i.e. total sleep time) inferred from analysis of non-EEG channels Zhao et al., 2017 (PMID:27707441). Sleep period is just the interval between sleep onset and sleep offset time.
wd_sol under Sleep Questionnaires/Sleep Habits in ANSWERS variables
Item calculated based on combined review of Split week self-assessment of sleep survey (SASS-Y) and the Munich Chronotype Questionnaire (MCTQ). Search for all SASS-Y/MCTQ variables within this dataset
wd_waso under Sleep Questionnaires/Sleep Habits in ANSWERS variables
Item calculated based on combined review of Split week self-assessment of sleep survey (SASS-Y) and the Munich Chronotype Questionnaire (MCTQ). Search for all SASS-Y/MCTQ variables within this dataset
we_sol under Sleep Questionnaires/Sleep Habits in ANSWERS variables
Item calculated based on combined review of Split week self-assessment of sleep survey (SASS-Y) and the Munich Chronotype Questionnaire (MCTQ). Search for all SASS-Y/MCTQ variables within this dataset
we_waso under Sleep Questionnaires/Sleep Habits in ANSWERS variables
Item calculated based on combined review of Split week self-assessment of sleep survey (SASS-Y) and the Munich Chronotype Questionnaire (MCTQ). Search for all SASS-Y/MCTQ variables within this dataset
sawa100 under Sleep Monitoring/Actigraphy in HCHS variables
Sleep period is the interval between sleep onset and sleep offset time.
sawa101 under Sleep Monitoring/Actigraphy in HCHS variables
Sleep duration (i.e. total sleep time) is the interval between sleep onset and sleep offset time while asleep. This variable is similar to variable sawa36; however, sawa36 is calculated based on data generated by Actiware software before data cleaning and imputation.
sawa102 under Sleep Monitoring/Actigraphy in HCHS variables
Sleep duration (i.e. total sleep time) is the interval between sleep onset and sleep offset time while asleep.
sawa107 under Sleep Monitoring/Actigraphy in HCHS variables
Sleep efficiency is the proportion of sleep duration (i.e. total sleep time, tst) in total rest period (i.e. rest interval) in main sleep. Sleep duration is the interval between sleep onset time and sleep offset time while asleep. In this study, rest interval is the same as in-bed period.
sawa108 under Sleep Monitoring/Actigraphy in HCHS variables
Sleep efficiency is the proportion of sleep duration (i.e. total sleep time, tst) in total rest period (i.e. rest interval) in main sleep. Sleep duration is the interval between sleep onset time and sleep offset time while asleep. In this study, rest interval is the same as in-bed period.
sawa112 under Sleep Monitoring/Actigraphy in HCHS variables
sleep bouts are continuous blocks, one or more epochs in duration, with each epoch of each block scored as "sleep", between the start time and the end time of the given interval.
sawa113 under Sleep Monitoring/Actigraphy in HCHS variables
Wake bouts is also referred to as "nocturnal awakenings". There are always comparable number of wake bouts to sleep bouts.
sawa120 under Sleep Monitoring/Actigraphy in HCHS variables
Sleep duration is the interval between sleep onset and sleep offset time while asleep.
sawa127 under Sleep Monitoring/Actigraphy in HCHS variables
This variable is similar to variable SAWA43; however, SAWA43 is calculated based on data generated by Actiware software before data optimization