Maurice M Ohayon1, Michael Paskow2, Anita Roach3, Christine Filer4, D Sunshine Hillygus5, Michael C Chen3, Gary Langer4, Max Hirshkowitz6. 1. Stanford Sleep Epidemiology Research Center, Division of Public Mental Health and Population Sciences, Stanford University School of Medicine, Palo Alto, CA, USA. 2. National Sleep Foundation, Arlington, VA. Electronic address: research@sleepfoundation.org. 3. National Sleep Foundation, Arlington, VA. 4. Langer Research Associates, New York, NY. 5. Duke University, Durham, NC. 6. Division of Public Mental Health and Population Sciences, School of Medicine, Stanford University, Stanford, CA, USA; Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Abstract
OBJECTIVES: The National Sleep Foundation (NSF) sought to test, refine, and add statistical rigor to its previously described provisional Sleep Satisfaction Tool (SST). The tool assesses the general population's sleep satisfaction. DESIGN: In 2017, NSF created a provisional tool through systematic literature review and an expert consensus panel process. This tool was expanded, refined, and tested through an open-ended survey, 2 rounds of cognitive testing, and a national survey of a random sample of Internet users (aged 18-90). Factor analysis and final consensus panel voting produced the robust SST. RESULTS: The exploratory, open-ended surveying for identifying additional factors important to the public led to question formulation around mind relaxation. Cognitive testing yielded significant refinement to question and response option formatting. Factor analysis of questions from field testing indicated loading on one construct identified as "sleep satisfaction." The final 9-item SST demonstrated strong reliability and internal validity with overall SST scores of 56/100 (higher scores indicating greater sleep satisfaction). Individual SST item mean scores ranged from 39 to 66, and overall SST scores varied substantially across demographic groups. CONCLUSIONS: NSF used a series of development and validation tests on its provisional SST, producing a novel and reliable research tool that measures the general population's sleep satisfaction. The SST is a short, reliable, nonclinical assessment that expands the set of tools available to researchers that implements the individual, social, and environmental factors related to sleep satisfaction. Further research will explore refined scoring methods along with factor weighting and use within different populations.
OBJECTIVES: The National Sleep Foundation (NSF) sought to test, refine, and add statistical rigor to its previously described provisional Sleep Satisfaction Tool (SST). The tool assesses the general population's sleep satisfaction. DESIGN: In 2017, NSF created a provisional tool through systematic literature review and an expert consensus panel process. This tool was expanded, refined, and tested through an open-ended survey, 2 rounds of cognitive testing, and a national survey of a random sample of Internet users (aged 18-90). Factor analysis and final consensus panel voting produced the robust SST. RESULTS: The exploratory, open-ended surveying for identifying additional factors important to the public led to question formulation around mind relaxation. Cognitive testing yielded significant refinement to question and response option formatting. Factor analysis of questions from field testing indicated loading on one construct identified as "sleep satisfaction." The final 9-item SST demonstrated strong reliability and internal validity with overall SST scores of 56/100 (higher scores indicating greater sleep satisfaction). Individual SST item mean scores ranged from 39 to 66, and overall SST scores varied substantially across demographic groups. CONCLUSIONS: NSF used a series of development and validation tests on its provisional SST, producing a novel and reliable research tool that measures the general population's sleep satisfaction. The SST is a short, reliable, nonclinical assessment that expands the set of tools available to researchers that implements the individual, social, and environmental factors related to sleep satisfaction. Further research will explore refined scoring methods along with factor weighting and use within different populations.
Authors: Franziska C Weber; Winfried Schlee; Berthold Langguth; Martin Schecklmann; Stefan Schoisswohl; Thomas C Wetter; Jorge Simões Journal: Int J Environ Res Public Health Date: 2022-09-02 Impact factor: 4.614