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The Pittsburgh Sleep Quality Index: a brief review
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“This questionnaire provides a unified measure to consistently assess sleep following concussion, as well as providing further resolution as to which characteristics are most prominently affected and estimating an effect size [32].”
From Concussion Disrupts Sleep in Adolescents: A Systematic Review and Meta-Analysis (2025) · cites this paper as [32]
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Research works printed but not linked: 11
- Buysse, 1989, The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research, Psychiatry Res, 28, 193, 10.1016/0165-1781(89)90047-4 · DOI · Paper page
- Mollayeva, 2016, The Pittsburgh Sleep Quality Index as a screening tool for sleep dysfunction in clinical and non-clinical samples: a systematic review and meta-analysis, Sleep Med Rev, 25, 52, 10.1016/j.smrv.2015.01.009 · DOI · Paper page
- Ong, 2017, Insomnia diagnosis, assessment, and evaluation, 785, 10.1016/B978-0-323-24288-2.00083-0 · DOI
- Muza, 2022, General approach to sleep disorders, 9, 10.1093/med/9780192848253.003.0002 · doi:10.1093/med/9780192848253.003.0002
- Carpenter, 1998, Psychometric evaluation of the Pittsburgh Sleep Quality Index, J Psychosom Res, 45, 5, 10.1016/S0022-3999(97)00298-5 · DOI · Paper page
- Grandner, 2006, Criterion validity of the Pittsburgh Sleep Quality Index: investigation in a non-clinical sample, Sleep Biol Rhythms, 4, 129, 10.1111/j.1479-8425.2006.00207.x · DOI · Paper page
- Hinz, 2017, Sleep quality in the general population: psychometric properties of the Pittsburgh Sleep Quality Index, derived from a German community sample of 9284 people, Sleep Med, 30, 57, 10.1016/j.sleep.2016.03.008 · DOI · Paper page
- Lee, 2020, Factors associated with poor sleep quality in the Korean general population: providing information from the Korean version of the Pittsburgh Sleep Quality Index, J Affect Disord, 271, 49, 10.1016/j.jad.2020.03.069 · DOI
- Qiu, 2020, Prevalence of sleep disturbances in Chinese healthcare professionals: a systematic review and meta-analysis, Sleep Med, 67, 258, 10.1016/j.sleep.2019.01.047 · DOI
- Lee, 2023, Sleep disturbances and depressive symptoms of shift workers: effects of shift schedules, J Psychiatr Res, 161, 371, 10.1016/j.jpsychires.2022.12.048 · DOI
- Bai, 2023, Global prevalence of poor sleep quality in military personnel and veterans: a systematic review and meta-analysis of epidemiological studies, Sleep Med Rev, 71, 101840, 10.1016/j.smrv.2023.101840 · DOI · Paper page
Cited by
Concussion Disrupts Sleep in Adolescents: A Systematic Review and Meta-Analysis
Noordeen, S., Wang, P., Strazda, A. E., Arany, E. S., Ergisi, M., Yeo, L. J., Popovic, R., Mahendran, A., Khawaja, M., Grover, K., et al. (2025) · Clocks & Sleep · doi:10.3390/clockssleep7030046 · Cited by 2
Metadata
- Authors
- Carpi, M.
- ORCID
- Carpi, Matteo
- Venue
- Occupational Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2025-01
- Volume
- 75
- Issue
- 1
- Pages
- 14-15
- ISSN
- 0962-7480
- 1471-8405
- Cited by
- 83
- References
- 0
- Language
- en
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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.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
