Cited by 1,241Sleep and related disordersPsychometric Methodologies and TestingAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

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Development of Short Forms From the PROMIS™ Sleep Disturbance and Sleep-Related Impairment Item Banks

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Yu, Lan, Buysse, Daniel J., Germain, Anne, Moul, Douglas E., Stover, Angela, Dodds, Nathan E., Johnston, Kelly L., Pilkonis, Paul A.·2012·Behavioral Sleep Medicine

DOI 10.1080/15402002.2012.636266PMC PMC3261577

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Abstract

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 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 · cited 2×
“Sleep quality and sleep dissatisfaction appear to exist on a continuum of severity, with good sleep represented at one end and insomnia at the other ( Buysse et al, 1989 ; Ohayon & Paiva, 2005 ; Ohayon & Partinen, 2002 ; Ohayon & Smirne, 2002 ).”
BackgroundSelf-citation
A New Method for Measuring Daytime Sleepiness: The Epworth Sleepiness Scale
Johns, M. W. (1991) · Sleep · doi:10.1093/sleep/14.6.540 · Cited by 17,364 · cited 1×
“…the Pittsburgh Sleep Quality Index (PSQI; Buysse, Reynolds, Monk, Berman, & Kupfer, 1989) is the most widely used scale for sleep disturbance, and the Epworth Sleepiness Scale (ESS; Johns, 1991, 1992) is the most widely used measure of daytime sleepiness, each with over 500 literature citations.”
Method
Reviews: Lord, Frederic M., and Novick, Melvin R. (with contributions by Allan Birnbaum). Statistical Theories of Mental Test Scores. Reading, Mass.: Addison-Wesley, 1968. xii + 568 pp. $14.95.
Rozeboom, W. W., Lord, F. M., Novick, M. R., & Birnbaum, A. (1969) · American Educational Research Journal · doi:10.2307/1162101 · Cited by 8,012
Applications of Item Response Theory To Practical Testing Problems
Lord, F. M. (2012) · Routledge eBooks · doi:10.4324/9780203056615 · Cited by 5,009 · cited 2×
“The term calibration has various meanings under different contexts ( Angoff, 1971 ; Kolen & Brennan, 2004 ; Linn, 1993 ; Lord, 1980 ; Thissen & Wainer, 2001).”
Background
Untitled work
(2000) · Cited by 4,106
ESTIMATION OF LATENT ABILITY USING A RESPONSE PATTERN OF GRADED SCORES1
Samejima, F. (1968) · ETS Research Bulletin Series · doi:10.1002/j.2333-8504.1968.tb00153.x · Cited by 2,670 · cited 1×
“Using the final item parameters for the SD and SRI banks, the PSQI and ESS were calibrated using the Graded Response Model (GRM; Samejima, 1969), with parameters from SD and SRI fixed.”
Method
Reliability and factor analysis of the Epworth Sleepiness Scale.
Johns, M. (1992) · Sleep · doi:10.1093/sleep/15.4.376 · Cited by 2,193 · cited 1×
“…the Pittsburgh Sleep Quality Index (PSQI; Buysse, Reynolds, Monk, Berman, & Kupfer, 1989) is the most widely used scale for sleep disturbance, and the Epworth Sleepiness Scale (ESS; Johns, 1991, 1992) is the most widely used measure of daytime sleepiness, each with over 500 literature citations.”
Method
Theory of Mental Tests
Gulliksen, H. O. (1950) · John Wiley & Sons, Inc. eBooks · doi:10.1037/13240-000 · Cited by 2,184
Psychometric Evaluation and Calibration of Health-Related Quality of Life Item Banks
Reeve, B. B., Hays, R. D., Bjørner, J. B., Cook, K. F., Crane, P. K., Teresi, J. A., Thissen, D., Revicki, D. A., Weiss, D. J., Hambleton, R. K., et al. (2007) · Medical Care · doi:10.1097/01.mlr.0000250483.85507.04 · Cited by 1,491 · cited 2×
“A more detailed description of the specific PROMIS analytic framework is available elsewhere (see Reeve et al., 2007).”
BackgroundMethod
Development and validation of patient-reported outcome measures for sleep disturbance and sleep-related impairments
Buysse, D. J., Yu, L., Moul, D. E., Germain, A., Stover, A., Dodds, N. E., Johnston, K. L., Shablesky-Cade, M. A., & Pilkonis, P. A. (2010) · Sleep · doi:10.1093/sleep/33.6.781 · Cited by 850 · cited 3×
“For a detailed description of this pooled sample, see Buysse et al. (2010).”
BackgroundMethodSelf-citation

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Research works printed but not linked: 6

Angoff W. H., 1971, Scales, norms and equivalent scores.
Lord F., 1968, Statistical theories of mental test scores.
Polimetrix, Inc., 2006, Scientific sampling for online research.
PROMIS Cooperative Group, 2008, User manual: Patient-Reported Outcomes Measurement Information System (PROMIS), version 1.1.
Samejima F., 1969, Psychometrika Monograph, 17, 1
Thissen D., 2003, MULTILOG 7: Multiple categorical item analysis and test scoring using Item Response Theory [Computer program]

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The ENGAGE-2 study: Engaging self-regulation targets to understand the mechanisms of behavior change and improve mood and weight outcomes in a randomized controlled trial (Phase 2)
Lv, N., Ajilore, O., Ronneberg, C. R., Venditti, E. M., Snowden, M. B., Lavori, P. W., Xiao, L., Goldstein‐Piekarski, A. N., Wielgosz, J., Wittels, N. E., et al. (2020) · Contemporary Clinical Trials · doi:10.1016/j.cct.2020.106072 · Cited by 17
Narrative review of mental illness in cricket with recommendations for mental health support
McCabe, T., Peirce, N. S., Gorczynski, P. F., & Heron, N. (2021) · BMJ Open Sport & Exercise Medicine · doi:10.1136/bmjsem-2020-000910 · Cited by 17
Steroid Hormone Biosynthesis Metabolism Is Associated With Fatigue Related to Androgen Deprivation Therapy for Prostate Cancer
Feng, L., Barb, J. J., Allen, H., Regan, J. M., & Saligan, L. N. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.642307 · Cited by 17
“0 – Sleep Related Impairment (PROMIS-SRI) Short Form 8b, an eightquestion form that quantifies the extent to which sleep impairment impacts daily life (Buysse et al., 2010; Yu et al., 2012).”
Background
Use of Patient-Reported Outcomes Measurement Information System (PROMIS) measures to characterise health status for patients seeking care from an orthopaedic provider: a retrospective cohort study
Horn, M., Reinke, E., Yan, X., Luo, S., Bolognesi, M., Reeve, B., George, S., & Gagnon, J. (2021) · BMJ Open · doi:10.1136/bmjopen-2020-047156 · Cited by 14
Symptom Based Clustering of Men in the LURN Observational Cohort Study
Liu, G., Andreev, V. P., Helmuth, M. E., Yang, C. C., Lai, H. H., Smith, A. R., Wiseman, J. B., Merion, R. M., Erickson, B. A., Cella, D. F., et al. (2019) · The Journal of Urology · doi:10.1097/ju.0000000000000354 · Cited by 17
The Transdiagnostic Intervention for Sleep and Circadian Dysfunction (TranS-C) for serious mental illness in community mental health part 1: study protocol for a hybrid type 2 effectiveness-implementation cluster-randomized trial
Sarfan, L. D., Agnew, E. R., Diaz, M., Dong, L., Fisher, K., Spencer, J. M., Howlett, S. A., Hache, R. E., Callaway, C. A., Kilbourne, A. M., et al. (2023) · Trials · doi:10.1186/s13063-023-07148-9 · Cited by 19
“…by endorsing 4 (quite a bit) or 5 (very much), or the equivalent for reverse-scored items, on one or more PROMIS-Sleep Disturbance questions [61, 62]; (4) guaranteed place to sleep for at least 2 months that is not a shelter; (5) receiving the standard of care for the SMI and consent to regular…”
BackgroundInfluentialSelf-citation
Feasibility and Acceptability of a Community-Based Modified Mindfulness-Based Stress Reduction Program for the Under- and Unemployed
Wasson, R. S., Luberto, C. M., Murthi, M., McDonald, S. B., Pallerla, H., Novak, B. K., & Cotton, S. (2020) · Global Advances In Health and Medicine · doi:10.1177/2164956120973636 · Cited by 16
Evaluation of Nonpharmacologic Interventions and Sleep Outcomes in Hospitalized Medical and Surgical Patients
van den Ende, E. S., Merten, H., der Roest, L. V., Toussaint, B., van Rijn, Q., Keesenberg, M., Lodders, A. M., van Veldhuizen, K. D. I., Vos, I. E., Hoekstra, S., et al. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.32623 · Cited by 19
Brain-predicted age difference estimated using DeepBrainNet is significantly associated with pain and function—a multi-institutional and multiscanner study
Valdes-Hernandez, P. A., Nodarse, C. L., Johnson, A. J., Montesino-Goicolea, S., Bashyam, V., Davatzikos, C. A., Peraza, J. A., Cole, J. H., Huo, Z., Fillingim, R. B., et al. (2023) · Pain · doi:10.1097/j.pain.0000000000002984 · Cited by 16
A Randomized, Double-Blind, Placebo-Controlled Decentralized Trial to Assess Sleep, Health Outcomes, and Overall Well-Being in Healthy Adults Reporting Disturbed Sleep, Taking a Melatonin-Free Supplement
Kolobaric, A., Hewlings, S. J., Bryant, C., Colwell, C. S., D’Adamo, C. R., ROSNER, B. A., Chen, J., & Pauli, E. K. (2023) · Nutrients · doi:10.3390/nu15173788 · Cited by 16
The LURN Research Network Neuroimaging and Sensory Testing (NIST) Study: Design, protocols, and operations
Lai, H. H., Naliboff, B. D., Liu, A. B., Amundsen, C. L., Shimony, J. S., Magnotta, V. A., Shaffer, J. J., Gilliam, R. L., Wiseman, J. B., Helmuth, M. E., et al. (2018) · Contemporary Clinical Trials · doi:10.1016/j.cct.2018.09.010 · Cited by 16
Tailored music listening intervention to reduce sleep disturbances in older adults with dementia: Research protocol
Petrovsky, D., Gooneratne, N. S., Bradt, J., Gitlin, L. N., & Hodgson, N. A. (2020) · Research in Nursing & Health · doi:10.1002/nur.22081 · Cited by 17
Subgroups of High-Risk Veterans Affairs Patients Based on Social Determinants of Health Predict Risk of Future Hospitalization
Blalock, D. V., Maciejewski, M. L., Zulman, D. M., Smith, V. A., Grubber, J. M., Rosland, A.-M. M., Weidenbacher, H. J., Greene, L., Zullig, L. L., Whitson, H. E., et al. (2021) · Medical Care · doi:10.1097/mlr.0000000000001526 · Cited by 16
Outcomes From the Transdiagnostic Sleep and Circadian Intervention (TranS-C) for Midlife and Older Adults With Serious Mental Illness and Sleep and Circadian Dysfunction
Sarfan, L. D., Gasperetti, C. E., Gumport, N. B., & Harvey, A. G. (2022) · Behavior Therapy · doi:10.1016/j.beth.2022.02.001 · Cited by 17
Profiles of sociodemographic, behavioral, clinical and psychosocial characteristics among primary care patients with comorbid obesity and depression
Ma, J., Xiao, L., Lv, N., Rosas, L. G., Lewis, M. A., Goldhaber‐Fiebert, J. D., Venditti, E. M., Snowden, M. B., Lesser, L. I., & Ward, E. (2017) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2017.07.010 · Cited by 16
“Participants self-administered the PROMIS sleep disturbance and sleep impairment scales, 8 items each (Yu et al., 2011), and the 25- item Social Problem-Solving Inventory—Revised: Short Form (SPSIR:S).”
Method
Associations of self-report and actigraphy sleep measures with experimental pain outcomes in patients with temporomandibular disorder and healthy controls
Boggero, I. A., Schneider, V. J., Thomas, P. L., Nahman‐Averbuch, H., & King, C. D. (2019) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2019.05.008 · Cited by 15
Sleep Disturbance in Indonesia: How Much Does Smoking Contribute?
Sujarwoto, S. (2019) · Behavioral Sleep Medicine · doi:10.1080/15402002.2019.1682584 · Cited by 18
Racial disparities in obstructive sleep apnea care in the United States
Acevedo-Fontánez, A. I., & Patel, S. R. (2025) · SLEEP · doi:10.1093/sleep/zsaf078 · Cited by 18
Using decision trees to understand the influence of individual- and neighborhood-level factors on urban diabetes and asthma
Cuesta, H. A., Coffman, D. L., Branas, C. C., & Murphy, H. M. (2019) · Health & Place · doi:10.1016/j.healthplace.2019.04.009 · Cited by 15
Associations between positive and negative social media experiences and sleep disturbance among young adults
Rzewnicki, D. I., Shensa, A. S., Levenson, J. C., Primack, B. A., & Sidani, J. E. (2020) · Sleep Health · doi:10.1016/j.sleh.2020.02.013 · Cited by 15
Shift Work Disorder Index: initial validation and psychosocial associations in a sample of nurses
Taylor, D. J., Dietch, J. R., Wardle‐Pinkston, S., Slavish, D. C., Messman, B., Ruggero, C. J., & Kelly, K. S. (2022) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.10108 · Cited by 18
The Sleep, Cancer and Rest (SleepCaRe) Trial: Rationale and Design of a Randomized, Controlled Trial of Four Interventions for Insomnia and Fatigue in Women with Breast Cancer Receiving Chemotherapy
Maccora, J., Garland, S. N., Ftanou, M., Day, D., White, M. A., Lopez, V. A., Mortimer, D., Diggens, J., Phillips, A. J. K., Wallace, R., et al. (2022) · Contemporary Clinical Trials · doi:10.1016/j.cct.2022.106877 · Cited by 18
Modifiable and Non-modifiable Factors Associated with Low Awareness of Hypertension Treatment in Indonesia: A Cross-Sectional Population-Based National Survey
Khoiry, Q. A., Alfian, S. D., & Abdulah, R. (2022) · Global Heart · doi:10.5334/gh.1143 · Cited by 30
Phenotyping of Urinary Urgency Patients Without Urgency Incontinence, and Their Comparison to Urgency Incontinence Patients: Findings From the LURN Study
Lai, H. H., Wiseman, J. B., Helmuth, M. E., Smith, A. R., Amundsen, C. L., Cameron, A. P., Glaser, A. P., Hendrickson, W. K., Kırkalı, Z., & Kenton, K. S. (2022) · The Journal of Urology · doi:10.1097/ju.0000000000002939 · Cited by 15
“Sleep disturbance and physical function were measured using the respective PROMIS scales.(16,17) Physical activity levels”
Method
Examining Physical and Cognitive Function in Chronic Low Back Pain Through the Use of a Multisystem Resilience Framework
Bartley, E. J., Makhoul, M., Palit, S., Robinson, M. E., & Fillingim, R. B. (2022) · Pain Medicine · doi:10.1093/pm/pnac156 · Cited by 16
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Doorenbos, A. Z., Schlaeger, J. M., deMartelly, V. A., Burke, L., Boyd, A. D., Knisely, M. R., Leigh, J. W., Li, H., Mandernach, M. W., Molokie, R. E., et al. (2023) · Contemporary Clinical Trials Communications · doi:10.1016/j.conctc.2023.101076 · Cited by 15
“The PROMIS sleep disturbance [45] item bank assesses perceptions of sleep quality, sleep depth, and restoration associated with sleep; perceived difficulties and concerns with getting to sleep or staying asleep; and perceptions of the adequacy of and satisfaction with sleep.”
Background
Analysis of the 24-h activity cycle: An illustration examining the association with cognitive function in the Adult Changes in Thought study
Wu, Y., Rosenberg, D. E., Greenwood-Hickman, M. A., McCurry, S. M., Proust‐Lima, C., Nelson, J. C., Crane, P. K., LaCroix, A. Z., Larson, E. B., & Shaw, P. A. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1083344 · Cited by 16
Mental health and sleep quality of low‐income mothers of one‐year‐olds during the COVID‐19 pandemic
Premo, E. M., Magnuson, K., Lorenzo, N. E., Fox, N. A., & Noble, K. G. (2023) · Infant Mental Health Journal · doi:10.1002/imhj.22074 · Cited by 15
Sleep–wake timing and chronotype in perinatal periods: longitudinal changes and associations with insomnia symptoms, sleep‐related impairment, and mood from pregnancy to 2 years postpartum
Verma, S., Pinnington, D. M., Manber, R., & Bei, B. (2023) · Journal of Sleep Research · doi:10.1111/jsr.14021 · Cited by 15
“Form – 8a and PROMIS-Anxiety – Short Form – 8a (Pilkonis et al., 2011).”
Method
The Google Health Digital Well-Being Study: Protocol for a Digital Device Use and Well-Being Study
McDuff, D., Barakat, A., Winbush, A., Jiang, A., Cordeiro, F., Crowley, R. N., Kahn, L. E., Hernandez, J., & Allen, N. B. (2023) · JMIR Research Protocols · doi:10.2196/49189 · Cited by 22
“…Anxiety Disorder Scale [24], Patient-Reported Outcomes Measurement Information System Sleep Disturbance and Sleep-Related Impairment short form [25,26], Patient-Reported Outcomes Measurement Information System Emotional Support Short Form 4a [27,28], Shortened Smartphone Addiction Scale [29], and…”
Method
Development of an International Standard Set of Outcomes and Measurement Methods for Routine Practice for Infants, Children, and Adolescents with Epilepsy: The International Consortium for Health Outcomes Measurement Consensus Recommendations
Mitchell, J., Sossi, F., Miller, I., Jaber, P. B., Das‐Gupta, Z., Fialho, L. S., Amos, A., AUSTIN, J. K., Badzik, S., Baker, G. A., et al. (2024) · Epilepsia · doi:10.1111/epi.17976 · Cited by 16
“43,44 These tools allow for tracking of sleep dysfunction across the lifespan.”
Effects of Modified Ramadan Fasting on Mental Well-Being and Biomarkers in Healthy Adult Muslims — A Randomised Controlled Trial
Lauche, R., Fathi, I., Saddat, C., Klose, P., Al-Abtah, J., Büssing, A., Rampp, T., Dobos, G. J., & Cramer, H. (2024) · International Journal of Behavioral Medicine · doi:10.1007/s12529-024-10296-0 · Cited by 18
Identifying the Complexity of Multiple Risk Factors for Obesity Among Urban Latinas
Creber, R. M., Fleck, E. M., Liu, J., Rothenberg, G., Ryan, B., & Henry, S. B. (2016) · Journal of Immigrant and Minority Health · doi:10.1007/s10903-016-0433-z · Cited by 15
“Anxiety [21], depression [21] and sleep disturbance [22] were measured using Patient Reported Outcome Measurement Information System (PROMIS) short forms.”
Sleeping poorly is robustly associated with a tendency to engage in spontaneous waking thought
Cárdenas-Egúsquiza, A. L., & Berntsen, D. (2022) · Consciousness and Cognition · doi:10.1016/j.concog.2022.103401 · Cited by 15
Development and evaluation of an enhanced diabetes prevention program with psychosocial support for urban American Indians and Alaska natives: A randomized controlled trial
Rosas, L. G., Vasquez, J. J., Naderi, R., Jeffery, N., Hedlin, H., Qin, F., LaFromboise, T. D., Megginson, N. L., Pasqua, C., Flores, O., et al. (2016) · Contemporary Clinical Trials · doi:10.1016/j.cct.2016.06.015 · Cited by 15
Study design for a randomized clinical trial of cognitive-behavioral therapy for posttraumatic headache
McGeary, D. D., Penzien, D. B., Resick, P. A., McGeary, C. A., Jaramillo, C. A., Eapen, B. C., Young‐McCaughan, S., Nabity, P. S., Moring, J. C., Houle, T. T., et al. (2021) · Contemporary Clinical Trials Communications · doi:10.1016/j.conctc.2021.100699 · Cited by 15
“PROMIS Sleep Disturbance and Sleep-Related Impairment short forms [58].”
Adult ADHD and sleep disorders: Prevalence, severity and predictors of sleep disorders in a sample of Italian psychiatric outpatients
Valsecchi, P., Nibbio, G., Rosa, J., & Vita, A. (2022) · Psychiatry Research · doi:10.1016/j.psychres.2022.114447 · Cited by 17
Machine learning and expression analyses reveal circadian clock features predictive of anxiety
Zafar, A., Overton, R., Attia, Z., Ay, A. A., & Ingram, K. K. (2022) · Scientific Reports · doi:10.1038/s41598-022-09421-4 · Cited by 14
“Participants completed computer-based surveys, which included the trait version of the Spielberger’s State-Trait Anxiety Scale (STAI) 37 , Beck Depression Inventory (BDI-II) 38 , and the short form of the Patient-Reported Outcomes Measurement Information System (PROMIS™) 39 Sleep Disturbance.”
Method
Assessing feasibility and acceptability of yoga and group CBT for adolescents with depression: A pilot randomized clinical trial
Uebelacker, L. A., Wolff, J. C., Guo, J., Conte, K., Tremont, G., Kraines, M., O’Keeffe, B., Fristad, M. A., & Yen, S. (2023) · Clinical Child Psychology and Psychiatry · doi:10.1177/13591045221092885 · Cited by 14
“…with the Columbia Impairment Scale (score range 0–65; Bird et al., 1993), anxiety with the Screen for Childhood Anxiety-Related Disorders (score range = 0–82; Birmaher et al., 1999), and sleep disturbance with the PROMIS sleep disturbance 8-item short form (score range = 8–40; Yu et al., 2011).”
Background
Mind wandering and sleep in daily life: A combined actigraphy and experience sampling study
Marcusson‐Clavertz, D., Persson, S. D., Davidson, P., Kim, J., Cardeña, E., & Kuehner, C. (2022) · Consciousness and Cognition · doi:10.1016/j.concog.2022.103447 · Cited by 16
“The remaining four questions were adapted from the short form of the PROMIS sleep disturbance scale (Yu et al., 2011) and were used to measure daily sleep disturbances.”
Influential
Validity of Patient-Reported Outcomes Measurement Information System Physical, Mental, and Social Health Measures After Left Ventricular Assist Device Implantation and Implications for Patient Care
Hahn, E. A., Walsh, M. N., Allen, L. A., Lee, C. S., Denfeld, Q. E., Teuteberg, J. J., Beiser, D. G., McIlvennan, C. K., Lindenfeld, J. M., Klein, L., et al. (2023) · Circulation Cardiovascular Quality and Outcomes · doi:10.1161/circoutcomes.121.008690 · Cited by 15
Design and Rationale of the Home Blood Pressure Telemonitoring Linked with Community Health Workers to Improve Blood Pressure (LINKED-BP) Program
Commodore-Mensah, Y. Y., Liu, X., Ogungbe, O., Ibe, C. A., Amihere, J., Mensa, M., Martin, S. S., Crews, D. C., Carson, K. A., Cooper, L. A., et al. (2023) · American Journal of Hypertension · doi:10.1093/ajh/hpad001 · Cited by 20
Sex differences in US military personnel with insomnia, obstructive sleep apnea, or comorbid insomnia and obstructive sleep apnea
Mysliwiec, V., Pruiksma, K. E., Matsangas, P., Powell, T. A., Straud, C. L., Taylor, D. J., Hansen, S. L., Foster, S. N., Mithani, S., Zwetzig, S. E., et al. (2023) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.10774 · Cited by 14
“31 Nightmare Disorder Index: The five-item Nightmare Disorder Index 32 was used to evaluate for nightmare disorder in accordance with the Diagnostic and Statistical Manual of Mental Disorders , fifth edition 33 criteria.”
Association between maternal stress and premature milk cortisol, milk IgA, and infant health: a cohort study
Rosen-Carole, C. B., Greenman, S., Wang, H., Sonawane, S. A., Misra, R., O’Connor, T., Järvinen, K. M., D’Angio, C. T., & Young, B. E. (2024) · Frontiers in Nutrition · doi:10.3389/fnut.2024.1270523 · Cited by 14
“…comprised the Edinburgh Postnatal Depression Scale (EPDS), the Adverse Childhood Events Scale (ACES), the State–Trait Anxiety Inventory (STAI) (24–28), and the Patient-Reported Outcomes Measurement Information System (PROMIS) measures for sleep (29), and Cognitive Abilities Short Form 4a (30).”
Method
Efficacy and safety of fezolinetant for vasomotor symptoms in postmenopausal women: A systematic review and meta‐analysis of randomized controlled trials
Akhtar, S. M. M., Ali, A., Khan, M. S., Хан, В. В., Fareed, A., Saleem, S. Z., Mumtaz, M., Ahsan, M. N., Iqbal, S., & Asghar, M. S. (2024) · International Journal of Gynecology & Obstetrics · doi:10.1002/ijgo.15467 · Cited by 16

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: Yu, Lan
Buysse, Daniel J.
Germain, Anne
Moul, Douglas E.
Stover, Angela
Dodds, Nathan E.
Johnston, Kelly L.
Pilkonis, Paul A.
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
DOI: 10.1080/15402002.2012.636266
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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Development of Short Forms From the PROMIS™ Sleep Disturbance and Sleep-Related Impairment Item Banks

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