The Good Sleeper Scale‐15 items: a questionnaire for the standardised assessment of good sleepers

Summary Research with ‘good sleepers’ is ubiquitous, yet there are no standardised criteria to identify a ‘good sleeper’. The present study aimed to create and validate a questionnaire for identifying good sleepers for use in research studies known as the Good Sleeper Scale‐15 items (GSS‐15). Data w...

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Veröffentlicht in:Journal of sleep research 2023-04, Vol.32 (2), p.e13717-n/a
Hauptverfasser: Manners, Jack, Appleton, Sarah L., Reynolds, Amy C., Melaku, Yohannes Adama, Gill, Tiffany K., Lovato, Nicole, Sweetman, Alexander, Bickley, Kelsey, Adams, Robert, Lack, Leon, Scott, Hannah
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container_issue 2
container_start_page e13717
container_title Journal of sleep research
container_volume 32
creator Manners, Jack
Appleton, Sarah L.
Reynolds, Amy C.
Melaku, Yohannes Adama
Gill, Tiffany K.
Lovato, Nicole
Sweetman, Alexander
Bickley, Kelsey
Adams, Robert
Lack, Leon
Scott, Hannah
description Summary Research with ‘good sleepers’ is ubiquitous, yet there are no standardised criteria to identify a ‘good sleeper’. The present study aimed to create and validate a questionnaire for identifying good sleepers for use in research studies known as the Good Sleeper Scale‐15 items (GSS‐15). Data were derived from a population‐based survey of Australian adults (n = 2,044). A total of 23 items were chosen for possible inclusion. An exploratory factor analysis (EFA) was conducted on ~10% of the survey dataset (n = 191) for factor identification and item reduction. A confirmatory factor analysis (CFA) was conducted on the remaining data (n = 1,853) to test model fit. Receiver operating characteristic curves and correlations were conducted to derive cut‐off scores and test associations with sleep, daytime functioning, health, and quality‐of‐life. The EFA identified six factors: ‘Sleep Difficulties’, ‘Timing’, ‘Duration’, ‘Regularity’, ‘Adequacy’, and ‘Perceived Sleep Problem’. The CFA showed that model fit was high and comparable to other sleep instruments, χ2 (63) = 378.22, p 
doi_str_mv 10.1111/jsr.13717
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The present study aimed to create and validate a questionnaire for identifying good sleepers for use in research studies known as the Good Sleeper Scale‐15 items (GSS‐15). Data were derived from a population‐based survey of Australian adults (n = 2,044). A total of 23 items were chosen for possible inclusion. An exploratory factor analysis (EFA) was conducted on ~10% of the survey dataset (n = 191) for factor identification and item reduction. A confirmatory factor analysis (CFA) was conducted on the remaining data (n = 1,853) to test model fit. Receiver operating characteristic curves and correlations were conducted to derive cut‐off scores and test associations with sleep, daytime functioning, health, and quality‐of‐life. The EFA identified six factors: ‘Sleep Difficulties’, ‘Timing’, ‘Duration’, ‘Regularity’, ‘Adequacy’, and ‘Perceived Sleep Problem’. The CFA showed that model fit was high and comparable to other sleep instruments, χ2 (63) = 378.22, p &lt; 0.001, root mean square error of approximation = 0.05, with acceptable internal consistency (α = 0.76). Strong correlations were consistently found between GSS‐15 global scores and outcomes, including ‘a good night′s sleep’ (r = 0.7), ‘feeling un‐refreshed’ (r = −0.59), and ‘experienced sleepiness’ (r = −0.51), p &lt; 0.001. Cut‐off scores were derived to categorise individuals likely to be a good sleeper (GSS‐15 score ≥40) and those very likely to be a good sleeper (GSS‐15 score ≥45). The GSS‐15 is a freely available, robust questionnaire that will assist in identifying good sleepers for the purpose of sleep research. 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The present study aimed to create and validate a questionnaire for identifying good sleepers for use in research studies known as the Good Sleeper Scale‐15 items (GSS‐15). Data were derived from a population‐based survey of Australian adults (n = 2,044). A total of 23 items were chosen for possible inclusion. An exploratory factor analysis (EFA) was conducted on ~10% of the survey dataset (n = 191) for factor identification and item reduction. A confirmatory factor analysis (CFA) was conducted on the remaining data (n = 1,853) to test model fit. Receiver operating characteristic curves and correlations were conducted to derive cut‐off scores and test associations with sleep, daytime functioning, health, and quality‐of‐life. The EFA identified six factors: ‘Sleep Difficulties’, ‘Timing’, ‘Duration’, ‘Regularity’, ‘Adequacy’, and ‘Perceived Sleep Problem’. The CFA showed that model fit was high and comparable to other sleep instruments, χ2 (63) = 378.22, p &lt; 0.001, root mean square error of approximation = 0.05, with acceptable internal consistency (α = 0.76). Strong correlations were consistently found between GSS‐15 global scores and outcomes, including ‘a good night′s sleep’ (r = 0.7), ‘feeling un‐refreshed’ (r = −0.59), and ‘experienced sleepiness’ (r = −0.51), p &lt; 0.001. Cut‐off scores were derived to categorise individuals likely to be a good sleeper (GSS‐15 score ≥40) and those very likely to be a good sleeper (GSS‐15 score ≥45). The GSS‐15 is a freely available, robust questionnaire that will assist in identifying good sleepers for the purpose of sleep research. 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source MEDLINE; Access via Wiley Online Library; EZB-FREE-00999 freely available EZB journals; Wiley Online Library (Open Access Collection)
subjects Adult
Australia - epidemiology
Good sleeper
Humans
Reproducibility of Results
scale validation
Sleep
sleep disorder
sleep health
Sleep Initiation and Maintenance Disorders
Surveys and Questionnaires
title The Good Sleeper Scale‐15 items: a questionnaire for the standardised assessment of good sleepers
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