The Sleep Quality/ Team Questionnaire is one of nine Spaceflight Standard Measures conducted on International Space Station (ISS) crewmembers. Spaceflight Standard Measures are a set of core measurements, representative of many of the risks experienced by astronauts before, during, and after spaceflight. The purpose of this project is to populate a repository with data that enables high-level monitoring of countermeasure effectiveness and meaningful interpretation of health and performance outcomes. These standard measures will support future, hypothesis-driven research that enables planetary missions by providing an optimized minimal set of measures captured from all ISS crewmembers until the end of the ISS program. These measures will be available to other studies under data sharing agreements as well as undergo analysis for trends in the astronaut population.
The Sleep Quality/ Team Questionnaire entails pre-sleep and post-sleep questionnaires that focus on the amount, quantity, and quality of sleep, as well as mood, affect, team cohesion, performance, and crew living/habitability within the ISS vehicle.
The subjects will complete two questionnaires, one within two hours of scheduled sleep time and the other within 2 hours of waking up, via the Data Collection Tool (DCT). The pre-sleep questionnaire consists of questions concerning medication, mood, and team interaction and performance (the team questions do not include evaluations of specific crewmembers). The post-sleep questionnaire contains questions about sleep quantity and quality.
This session will be performed pre-sleep and post-sleep under three mission scenarios: short duration (up to 105 days flight days), standard duration (between 105 to 240 flight days), and long duration (greater than 240 days) on FD7±7 and repeated every 30±7 days (e.g. FD7, 37, 67, etc.).
The Spaceflight Standard Measures project is not a hypothesis-driven study, but rather a project to create a collection of ISS data made available to future researchers and for trend analysis. As such, there are no specific hypotheses, outcome measures, or statistical analyses associated with the skeleton of the project. The project will capture a "snapshot" of optimized data that can be investigated by researchers in the future.