Jessica R Dietch1, Kevin Sethi2, Danica C Slavish3, Daniel J Taylor4. 1. Department of Psychology, University of North Texas, 1155 Union Circle #311280, Denton, TX, 76203, USA. Electronic address: Jessica.Dietch@va.gov. 2. Department of Psychology, University of North Texas, 1155 Union Circle #311280, Denton, TX, 76203, USA. Electronic address: Kevin.Sethi@va.gov. 3. Department of Psychology, University of North Texas, 1155 Union Circle #311280, Denton, TX, 76203, USA. Electronic address: Danica.Slavish@unt.edu. 4. Department of Psychology, University of North Texas, 1155 Union Circle #311280, Denton, TX, 76203, USA. Electronic address: danieljtaylor@email.arizona.edu.
Abstract
OBJECTIVE/ BACKGROUND: Prospective, daily sleep diaries are the gold standard for assessing subjective sleep but are not always feasible for cross-sectional or epidemiological studies. The current study examined psychometric properties of two retrospective questionnaire versions of the Consensus Sleep Diary. PARTICIPANTS/ METHODS: College students (N = 131, mean age = 19.39 ± 1.65; 73% female) completed seven days of prospective sleep diaries then were randomly assigned to complete either the Self-Assessment of Sleep Survey (SASS), which assessed past week sleep (n = 70), or the SASS-Split (SASS-Y), which assessed weekday/weekend sleep separately (n = 61). Participants also completed psychosocial/sleep questionnaires including the Pittsburgh Sleep Quality Index (PSQI). Sleep parameters derived from SASS, SASS-Y, PSQI, and sleep diaries were assessed via Bland Altman plots, limits of agreement, mean differences, and correlations. RESULTS: SASS-Y demonstrated stronger correlations with prospective sleep diaries and slightly less biased estimates (r = 0.51 to 0.85, α = -0.43 to 1.70) compared to SASS (r = 0.29 to 0.84, α = -1.63 to 2.33) for terminal wakefulness (TWAK), sleep onset latency (SOL), sleep efficiency (SE), and quality (QUAL). SASS resulted in slightly less bias for total sleep time (TST) and wake after sleep onset (WASO) (α = -0.65 and 0.93, respectively) compared to SASS-Y (α = 14.90 and 1.05, respectively). SASS and SASS-Y demonstrated greater convergence with sleep diary than PSQI. CONCLUSIONS: Results demonstrated good psychometric properties for the SASS and SASS-Y. When prospective sleep diaries are not feasible, the SASS and SASS-Y are acceptable substitutes to retrospectively estimate sleep parameters. Retrospective estimation of sleep parameters separately for weekdays/weekends may offer advantages compared to whole week estimation.
OBJECTIVE/ BACKGROUND: Prospective, daily sleep diaries are the gold standard for assessing subjective sleep but are not always feasible for cross-sectional or epidemiological studies. The current study examined psychometric properties of two retrospective questionnaire versions of the Consensus Sleep Diary. PARTICIPANTS/ METHODS: College students (N = 131, mean age = 19.39 ± 1.65; 73% female) completed seven days of prospective sleep diaries then were randomly assigned to complete either the Self-Assessment of Sleep Survey (SASS), which assessed past week sleep (n = 70), or the SASS-Split (SASS-Y), which assessed weekday/weekend sleep separately (n = 61). Participants also completed psychosocial/sleep questionnaires including the Pittsburgh Sleep Quality Index (PSQI). Sleep parameters derived from SASS, SASS-Y, PSQI, and sleep diaries were assessed via Bland Altman plots, limits of agreement, mean differences, and correlations. RESULTS: SASS-Y demonstrated stronger correlations with prospective sleep diaries and slightly less biased estimates (r = 0.51 to 0.85, α = -0.43 to 1.70) compared to SASS (r = 0.29 to 0.84, α = -1.63 to 2.33) for terminal wakefulness (TWAK), sleep onset latency (SOL), sleep efficiency (SE), and quality (QUAL). SASS resulted in slightly less bias for total sleep time (TST) and wake after sleep onset (WASO) (α = -0.65 and 0.93, respectively) compared to SASS-Y (α = 14.90 and 1.05, respectively). SASS and SASS-Y demonstrated greater convergence with sleep diary than PSQI. CONCLUSIONS: Results demonstrated good psychometric properties for the SASS and SASS-Y. When prospective sleep diaries are not feasible, the SASS and SASS-Y are acceptable substitutes to retrospectively estimate sleep parameters. Retrospective estimation of sleep parameters separately for weekdays/weekends may offer advantages compared to whole week estimation.
Authors: Nadia S Hejazi; Cristan A Farmer; Mark Oppenheimer; Tolulope B Falodun; Lawrence T Park; Wallace C Duncan; Carlos A Zarate Journal: J Psychiatr Res Date: 2022-01-11 Impact factor: 4.791
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Authors: Danica C Slavish; Ateka A Contractor; Jessica R Dietch; Brett Messman; Heather R Lucke; Madasen Briggs; James Thornton; Camilo Ruggero; Kimberly Kelly; Marian Kohut; Daniel J Taylor Journal: Int J Behav Med Date: 2022-01-05
Authors: Lily A Brown; Craig J Bryan; Jonathan E Butner; Jeffrey V Tabares; Stacey Young-McCaughan; Willie J Hale; Brooke A Fina; Edna B Foa; Patricia A Resick; Daniel J Taylor; Hillary Coon; Douglas E Williamson; Katherine A Dondanville; Elisa V Borah; Carmen P McLean; Jennifer Schuster Wachen; Kristi E Pruiksma; Ann Marie Hernandez; Brett T Litz; Jim Mintz; Jeffrey S Yarvis; Adam M Borah; Karin L Nicholson; Douglas M Maurer; Kevin M Kelly; Alan L Peterson Journal: Contemp Clin Trials Commun Date: 2021-02-16