A new single-item sleep quality scale: results of psychometric evaluation in patients with chronic primary insomnia and depression
Open accessAbstract
Study objectives A single-item sleep quality scale (SQS) was developed as a simple and practical sleep quality assessment and psychometrically evaluated.Methods SQS measurement characteristics were evaluated using the Pittsburgh Sleep Quality Index (PSQI) and morning questionnaire-insomnia (MQI) according to prespecified analysis plans in separate clinical studies of patients with insomnia and depression. Patients with insomnia (n = 70) received 4 weeks' usual care with an FDA-approved hypnotic agent; patients with depression (n = 651) received 8 weeks' active or experimental therapy.Results Concurrent criterion validity (correlation with measures of a similar construct) was demonstrated by strong (inverse) correlations between the SQS and MQI (week 1 Pearson correlation -.76) and PSQI (week 8 Goodman-Kruskal correlation -.92) sleep quality items in populations with insomnia and depression, respectively. In patients with depression, stronger correlations between the SQS and PSQI core sleep quality components versus other items supported convergent/divergent construct validity (similarity/dissimilarity to related/unrelated measures). Known-groups validity was evidenced by decreasing mean SQS scores across those who sleep normally, those borderline to having sleep problems, and those with problems sleeping. Test-retest reliability (intraclass correlation coefficient) was .62 during a 4-week period of sleep stability in patients with insomnia and .74 in stable patients with depression (1 week). Effect sizes (standardized response means) for change from baseline were 1.32 (week 1) and .67 (week 8) in populations with insomnia and depression, respectively. Mean SQS changes from baseline to week 8 convergently decreased across groups of patients with depression categorized by level of PSQI sleep quality improvement.Conclusions The SQS possesses favorable measurement characteristics relative to lengthier or more frequently administered sleep questionnaires in patients with insomnia and depression.Clinical trial registration Registry: ClincalTrials.gov, Title: Treatment of Patients With Major Depressive Disorder With MK0869, Identifier: NCT00034983, URL: https://clinicaltrials.gov/ct2/show/NCT00034983.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The SQS has excellent concurrent and convergent validity with other lengthier sleep scales and is effective in determining clinically meaningful changes in sleep quality.
“The SQS has been shown to have excellent concurrent and convergent validity with other lengthier sleep scales and has been demonstrated to be effective in determining clinically meaningful changes in sleep quality (Snyder et al., 2018).”
From Pilot study of a well-being app to support New Zealand young people during the COVID-19 pandemic (2021) · cites this paper as Snyder et al., 2018
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,588 · see citing works
The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research
Buysse, D. J., Reynolds, C. F., Monk, T. H., Berman, S. R., & Kupfer, D. J. (1989) · Psychiatry Research · doi:10.1016/0165-1781(89)90047-4 · Cited by 35,234 · see citing works
Diagnostic and Statistical Manual of Mental Disorders
Siegel, L. J., & Fletcher‐Janzen, E. (2014) · Wiley eBooks · doi:10.1002/9781118660584.ese0728 · Cited by 3,438 · see citing works
Psychometric evaluation of the pittsburgh sleep quality index
Carpenter, J. S., & Andrykowski, M. A. (1998) · Journal of Psychosomatic Research · doi:10.1016/s0022-3999(97)00298-5 · Cited by 1,618 · see citing works
Quality of Life: Assessment, Analysis, and Interpretation
Machin, P. M. F. A. D. (2000) · Medical Entomology and Zoology · Cited by 1,509 · see citing works
Littner, M. R., Kushida, C. A., Anderson, W. M., Bailey, D. R., Berry, R. B., Davila, D., Hirshkowitz, M., Kapen, S., KRAMER, M. L., Loube, D. I., et al. (2003) · SLEEP · doi:10.1093/sleep/26.3.337 · Cited by 688 · see citing works
Krystal, A. D., & Edinger, J. D. (2008) · Sleep Medicine · doi:10.1016/s1389-9457(08)70011-x · Cited by 590 · see citing works
Roth, T. G., Coulouvrat, C., Hajak, G., Lakoma, M. D., Sampson, N. A., Shahly, V., Shillington, A. C., Stephenson, J. J., Walsh, J. K., & Kessler, R. C. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.10.023 · Cited by 477 · see citing works
Psychiatric Disorders and Sleep
Krystal, A. D. (2012) · Neurologic Clinics · doi:10.1016/j.ncl.2012.08.018 · Cited by 386 · see citing works
Huedo-Medina, T. B., Kirsch, I., Middlemass, J., Klonizakis, M., & Siriwardena, A. N. (2012) · BMJ · doi:10.1136/bmj.e8343 · Cited by 313 · see citing works
Practice Parameters for Using Polysomnography to Evaluate Insomnia: An Update
Littner, M., Hirshkowitz, M., Kramer, M., Kapen, S., Anderson, W. M., Bailey, D., Berry, R. B., Davila, D., Johnson, S., Kushida, C., et al. (2003) · Sleep · doi:10.1093/sleep/26.6.754 · Cited by 306 · see citing works
The epidemiology and diagnosis of insomnia.
Doghramji, K. (2006) · PubMed · Cited by 135 · see citing works
Objective and subjective measures for sleep disorders
Zhang, L., & Zhao, Z. (2007) · Neuroscience Bulletin · doi:10.1007/s12264-007-0035-9 · Cited by 103 · see citing works
Sleep disorders: impact on daytime functioning and quality of life
Szentkirályi, A., Madarász, C. Z., & Novák, M. (2009) · Expert Review of Pharmacoeconomics & Outcomes Research · doi:10.1586/14737167.9.1.49 · Cited by 101 · see citing works
Sleep evaluation scales and questionaries: a review.
Lomelí, H. A., Pérez-Olmos, I., Talero‐Gutiérrez, C., Moreno, C. B., González-Reyes, R. E., Palacios, L., de la Peña, F., & Muñóz-Delgado, J. (2008) · Actas Españolas de Psiquiatría · Cited by 86 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Argesti A. Analysis of Ordinal and Categorical Data. 2nd ed. Hoboken, NJ: John Wiley & Sons, Inc.; 2010.
Cited by
Sorted by citations
Changes in sleep pattern and sleep quality during COVID-19 lockdown
Krishnan, V., Gupta, R., Grover, S., Basu, A., Tripathi, A., Subramanyam, A., Nischal, A., Hussain, A., Mehra, A., Ambekar, A., et al. (2020) · Indian Journal of Psychiatry · doi:10.4103/psychiatry.indianjpsychiatry_523_20 · Cited by 357 · see citing works
Pilot study of a well-being app to support New Zealand young people during the COVID-19 pandemic
Serlachius, A., Boggiss, A., Lim, D., Schache, K., Wallace-Boyd, K., Brenton-Peters, J., Buttenshaw, E., Chadd, S., Cavadino, A., Cao, N., et al. (2021) · Internet Interventions · doi:10.1016/j.invent.2021.100464 · Cited by 35 · see citing works
“The SQS has been shown to have excellent concurrent and convergent validity with other lengthier sleep scales and has been demonstrated to be effective in determining clinically meaningful changes in sleep quality (Snyder et al., 2018).”
Serlachius, A., Schache, K., Boggiss, A., Lim, D., Wallace-Boyd, K., Brenton-Peters, J., Buttenshaw, E., Chadd, S., Cavadino, A., Cao, N., et al. (2020) · JMIR Research Protocols · doi:10.2196/23716 · Cited by 17 · see citing works
Zuccolo, P. F., Brunoni, A. R., Borja, T., Matijasevich, A., Polanczyk, G. V., & Fatori, D. (2024) · Psychotherapy and Psychosomatics · doi:10.1159/000541311 · Cited by 11 · see citing works
- Authors
- Snyder, E., Cai, B., DeMuro, C., Morrison, M. F., & Ball, W.
- Affiliations
- Merck & Co., Inc., Rahway, NJ, USA (United States) (US)
- Corresponding author
- Snyder, Ellen
- Venue
- Journal of Clinical Sleep Medicine
- Published
- 2018-11-15
- Volume
- 14
- Issue
- 11
- Pages
- 1849-1857
- ISSN
- 1550-9389 (ISSN-L)
- 1550-9397
- PMC
- PMC6223557
- OpenAlex
- W2900723373
- Cited by
- 473
- References
- 15
- Citations by year
- 2026: 103 · 2025: 114 · 2024: 75 · 2023: 57 · 2022: 66 · 2021: 36 · 2020: 17 · 2019: 4
- FWCI
- 18.66
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Clinical Sleep Medicine (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Keywords
- sleep quality assessment, chronic primary insomnia, depression, psychometric validation, criterion validity, construct validity, known-groups validity, test-retest reliability, Pittsburgh Sleep Quality Index, hypnotics, major depressive disorder
- MeSH terms
- Aprepitant, Adult, Aged, Major Depressive Disorder, Depressive Disorder, Major, Dose-Response Relationship, Drug, Double-Blind Method, Female, Humans, Hypnotics and Sedatives, Sleep Initiation and Maintenance Disorders, Male, Middle Aged, Psychometrics, Surveys and Questionnaires, Reproducibility of Results, Comorbidity, Paroxetine
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review