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Development of Short Forms From the PROMIS™ Sleep Disturbance and Sleep-Related Impairment Item Banks
Open accessAbstract
This article reports on the development of short forms from the Patient-Reported Outcomes Measurement Information System (PROMIS™) Sleep Disturbance (SD) and Sleep-Related Impairment (SRI) item banks. Results from post-hoc computerized adaptive testing (CAT) simulations, item discrimination parameters, item means, and clinical judgments were used to select the best-performing 8 items for SD and SRI. The final 8-item short forms provided less test information than the corresponding full banks, but correlated strongly with the longer forms. The short forms had greater measurement precision than the Pittsburgh Sleep Quality Index (PSQI) and the Epworth Sleepiness Scale (ESS), as indicated by larger test information values across the continuum of severity, despite having fewer total items--a major advantage for both research and clinical settings.
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“The PROMIS Sleep Disturbance assessment, in particular, reflects a global measure of sleep, rather than focusing on a particular disorder.”
From The association between social media use and sleep disturbance among young adults (2016) · cites this paper as [32]
In the citing paper
“Previous work has described the development and psychometric testing of the PROMIS sleep disturbance measure among individuals age 18 and older. 31;32”
From The association between social media use and sleep disturbance among young adults (2016) · cites this paper as [32]
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Nutrition and Food Security Among Veterans: Operationalizing Nutritional Functioning
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“Sleep disturbance was measured with the 8-item PROMIS™ Sleep Disturbance short form asking about sleep in the previous 7 days [29].”
Downs, D. S., Pauley, A. M., Rivera, D. E., Savage, J. S., Moore, A. M., Shao, D., Chow, S., Lagoa, C. M., Pauli, J. M., Khan, O., et al. (2025) · JMIR Research Protocols · doi:10.2196/66637 · Cited by 2
“…Aria Wi-Fi scale [112]; PA, sedentary behavior, or sleep: Fitbit Charge 6 monitor [112], logs for device wear time, and PROMIS Sleep Disturbance [113,114] assessment; and self-reported hydration behaviors); weekly (self-reported online in REDCap; social cognitive determinants and EI diet…”
Interventions to promote well-being of nightshift nursing team members
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“We also captured self-reported sleep quality with the 8-item PROMIS sleep disturbance scale (Form 8a) [35,36].”
Michaels, V. R., Boucsein, A., Haszard, J. J., Galland, B. C., Meredith-Jones, K. A., Zhou, Y., Jones, S., Paul, R. G., Wiltshire, E. J., Jefferies, C., et al. (2025) · Diabetic Medicine · doi:10.1111/dme.70093 · Cited by 2
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Improving Patient Sleep before Surgery: The Case for Sleep Prehabilitation
Sibley, D., Sicova, M., Singh, M., Randall, I. M., & Mina, D. S. (2025) · Annals of Nutrition and Metabolism · doi:10.1159/000547974 · Cited by 3
“The PROMIS Sleep Disturbance scale (PROMIS SD) demonstrates greater measurement precision than existing sleep measures (e.g., PSQI) and was developed for use in clinical and research settings [82].”
Bolstad, C. J., & Nadorff, M. R. (2025) · Journal of Sleep Research · doi:10.1111/jsr.70188 · Cited by 3
“The Patient-Reported Outcomes Information System—Sleep Disturbance scale (PROMIS-SD) is a 27-item self-report item bank that assesses general characteristics of sleep (Yu et al. 2012).”
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“We used the Patient-Reported Outcomes Measurement Information System Sleep Disturbance 8-item short form to assess the sleep disturbance status of Chinese patients with breast cancer (breast cancer) [18].”
Ng, M. K., Lin, J., Spitzer, A. I., Dasa, V., Rivadeneyra, A., Rogenmoser, D., Concoff, A. L., DiGiorgi, M., Urban, J. A., Mihalko, W. M., et al. (2025) · The Journal of Arthroplasty · doi:10.1016/j.arth.2025.10.011 · Cited by 2
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“An eight-item measure of sleep disturbance (Yu et al., 2011).”
Sleep disturbance affects inflammatory resolution in Long COVID
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“…were (1) age of 18 to 75 years, (2) a raw score of 23 or higher on the Patient-Reported Outcomes Measurement Information System Sleep Disturbance [17], (3) ownership of a smartphone and ability to access the internet, (4) willingness and ability to participate through texting on a smartphone,…”
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Retirement Center Worker Sleep Health Assessment During the COVID-19 Pandemic
Hittle, B. M., Norrell, R. M., Omololu, S. O., & Ulrich, M. G. (2022) · Workplace Health & Safety · doi:10.1177/21650799211054863 · Cited by 3
“90) with the 27-item PROMIS Sleep Disturbance long-form (Buysse et al., 2010; Yu et al., 2011) and high convergent validity (r = .”
MethodInfluentialSleep, Stress, and Symptoms Among People With Heart Failure During the COVID-19 Pandemic
O’Connell, M., Jeon, S., Conley, S., Linsky, S., & Redeker, N. S. (2022) · The Journal of Cardiovascular Nursing · doi:10.1097/jcn.0000000000000906 · Cited by 2
Glassburn, S., Delbridge, E. J., Loghmani, M. T., Newton, A. D., Binion, K., Romito, L. M., & Willis, D. R. (2022) · Journal of Interprofessional Education & Practice · doi:10.1016/j.xjep.2022.100541 · Cited by 3
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Biggers, A., Barton, I., Henkins, J., Kim, H., Perez, R., Ong, J. C., Sharp, L. K., & Gerber, B. S. (2023) · Sleep Medicine X · doi:10.1016/j.sleepx.2023.100066 · Cited by 2
“Sleep quality was obtained using the Pittsburg Sleep Quality Index (>5 indicates poor sleep) [17] and PROMIS Sleep Disturbance (SD) (T-score >50 indicates worse disturbance) [18].”
Perez, N. B., Melkus, G. D., Yu, G., Brown-Friday, J., Anastos, K., & Aouizerat, B. E. (2023) · Nursing Research · doi:10.1097/nnr.0000000000000669 · Cited by 2
“Sleep disturbance will be measured with PROMIS– Sleep (α = .90; L. Yu et al., 2012).”
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Penner‐Goeke, L., Belows, M., Kristjanson, A., Andrade, B. F., Cameron, E. E., Giuliano, R. J., Katz, L. Y., Kelly, L. E., Letourneau, N. L., Mota, N. P., et al. (2023) · Trials · doi:10.1186/s13063-023-07591-8 · Cited by 2
“The PROMIS Sleep Disturbance SD contains 8 self-report items relating to participants’ sleep quality [62]; it has demonstrated strong psychometric properties in a variety of clinical and non-clinical populations [66].”
BackgroundMethodLovett, R., Filec, S., Bonham, M., Benavente, J. Y., O’Conor, R. M., Russell, A. M., Zheng, P., Wismer, G. A., Yoon, E., Weiner‐Light, S., et al. (2023) · BMJ Open · doi:10.1136/bmjopen-2023-077911 · Cited by 3
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“• Behavioural assessments Physical Activity (SIMPAQ; [35]), Model of Human Occupation Screening Tool for nutrition sessions (MOHOST; [36]), 24-h diet recall [37], Sleep (PROMIS SD Short Form 8-item; PROMIS SRI Short form 4-item; [38–40].”
BackgroundA STUDY ON THE EVALUATION METHODS OF INDOOR LIGHT ENVIRONMENT FOR OCCUPANT COMFORT AND WELL-BEING
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“We assessed sleep disturbance with a three-item measure adapted from the PROMIS Sleep Disturbance short form (Yu et al., 2012).”
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Bercovitz, I., Salvatore, G. M., Mogle, J. A., & Arigo, D. (2024) · Health Psychology and Behavioral Medicine · doi:10.1080/21642850.2024.2390939 · Cited by 2
“This measure has strong psychometric properties (e.g. Cronbach’s α = 0.90; Yu et al., 2012) and has been compared against the Pittsburgh Sleep Quality Index (PSQI; Buysse et al., 1989), a commonly used, much longer measure of sleep disturbance.”
MethodInfluentialMak, S., Ash, G. I., Liang, L.-J. F., Der‐Mcleod, E., Ghadimi, S., Kewalramani, A., Naeem, S., Zeidler, M. R., & Fung, C. H. (2024) · JMIR Research Protocols · doi:10.2196/60769 · Cited by 2
Sleep Treatment Education Program for Cancer Survivors: Protocol for an Efficacy Trial
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“Additional information to describe participants’ sleep was collected using the Patient-Reported Outcomes Measurement Information System Sleep Disturbance Short Form [69], the Consensus Sleep Diary-Morning [70], and the Morningness-Eveningness Questionnaire [71].”
Milner, A. E., Hache, R. E., Oliver, S., Sarfan, L. D., Spencer, J. M., Cogan, A. B., Jiang, Y., Agnew, E. R., Zieve, G. G., Martin, J. L., et al. (2024) · Trials · doi:10.1186/s13063-024-08468-0 · Cited by 2
“The PROMIS Sleep Disturbance Scale (PROMIS-SD) is an 8-item scale that will be used to assess perceived sleep problems (e.g., sleep quality, perception of sleep difficulties) over a 7-day period [85].”
BackgroundMethodAn Innovative Model to Add Mindfulness to Total Worker Health Training
Kuehl, K. S., Elliot, D. L., DeFrancesco, C., McGinnis, W. J., Ek, S., Horne, A. V., Kempany, K. G., & Garg, B. (2024) · Journal of Occupational and Environmental Medicine · doi:10.1097/jom.0000000000003261 · Cited by 3
“39 Sur-prisingly, the job satisfaction went down during the trial, which is opposite of the usual response to mindfulness training.”
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Cheers to tomorrow? Alcohol use predicts poorer mood and well‐being the next day in young adults
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Seah, T. H. S., Eckstrand, K., Gupta, T., Jensen, L. C. X., Brodnick, Z. M., Horter, C. M., Gregory, A. M., Franzen, P. L., Marshal, M. P., & Forbes, E. E. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1475097 · Cited by 2
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Metadata
- Authors
- Yu, L., Buysse, D. J., Germain, A., Moul, D. E., Stover, A., Dodds, N. E., Johnston, K. L., & Pilkonis, P. A.
- Affiliations
- University of Pittsburgh (US)
- Cleveland Clinic (US)
- ORCID
- Venue
- Behavioral Sleep Medicine
- Publisher
- Informa UK Limited
- Published
- 2012-01
- Volume
- 10
- Issue
- 1
- Pages
- 6-24
- ISSN
- 1540-2002 (ISSN-L)
- 1540-2010
- PMC
- PMC3261577
- OpenAlex
- W2053601856
- Cited by
- 1,241
- References
- 21
- Citations by year
- 2026: 140 · 2025: 183 · 2024: 164 · 2023: 148 · 2022: 156 · 2021: 131 · 2020: 94 · 2019: 66 · 2018: 48 · 2017: 38 · 2016: 30 · 2015: 23 · 2014: 12 · 2013: 5 · 2012: 1
- FWCI
- 17.60
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Behavioral Sleep Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Arthritis and Musculoskeletal and Skin Diseases (U01AR052171, U01AR52186, U01 AR 52177, U01AR52181, U01AR52155, U01AR052186, U01AR52171, U01AR052170, U01AR052158, U01AR52170, U01AR052155, U01AR052177, U01AR52158, U01AR052181)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- PROMIS, sleep disorders, sleep-related impairment, short form, item bank, computerized adaptive testing, test information function, item discrimination, patient-reported outcomes, Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, measurement precision
- MeSH terms
- Aged, Computer Simulation, Female, Humans, Male, Middle Aged, Psychometrics, Surveys and Questionnaires, Sleep Wake Disorders, Reproducibility of Results
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