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. 2022 Jan 14;45(6):zsac002. doi: 10.1093/sleep/zsac002

Table 1.

Common data sources and terms associated with questionnaire-based sleep and circadian assessments

Types Examples
Common data sources Validated questionnaires PSQI, ESS, MCTQ
Specific questions Do you snore?
Sleep diaries Diaries for sleep–wake pattern assessments or for informing actigraphy studies
Interviews Structured and unstructured
Observer reports Parent reports
Clinical notes Notes in electronic health records
Ecological momentary assessments Social network data
Passive data sensing Smart Speakers
Common data terms Sleep quality and restfulness Good sleep quality, feel rested
Daytime symptoms and consequences Excessively sleepy
Sleep timing and chronotype Morning or evening types
Self-reported quantitative data Sleep latency, sleep duration, time spent awake
Sleep disorder related symptoms Snoring, witnessed apneas, restless legs, sleepwalking
Medication or substance use Sleep aids, melatonin
Contextual variables Sleep environment, social and physical factors, use of electronics, consumption of caffeine
Attitudes and beliefs about sleep Cultural factors (e.g. “siesta”)

PSQI, Pittsburgh Sleep Quality Index; ESS, Epworth sleepiness scale; MCTQ, Munich ChronoType Questionnaire.