Patient-Reported Outcomes Measures Information System for Sleep Disturbance

Buysse, Daniel J.; Yu, Lan; Moul, Douglas E.; Germain, Anne; Stover, Angela M.; Dodds, Nathan E.; Johnston, Kelly L.; Shablesky-Cade, Melissa A.; Pilkonis, Paul A.

doi:10.1037/t33018-000

Cited by 6 publications

(9 citation statements)

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“…Along with the standard ISDI, these participants completed items referring to narcolepsy symptoms; although the data were gathered during an earlier study, analyses with the narcolepsy items have not been reported previously. The (Buysse, et al, 2010). The response format was identical to the other ISDI items.…”

Section: Expansion Of the Isdimentioning

confidence: 99%

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Further validation of the Iowa Sleep Disturbances Inventory.

Koffel

2011

Psychological Assessment

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This study examined the reliability and validity of an expanded version of the Iowa Sleep Disturbances Inventory (ISDI; Koffel & Watson, 2010) Hallucinations. These scales, along with the Nightmares scale, help define a higher order factor entitled Unusual Sleep Experiences. This factor was distinct from the factors of Insomnia and Lassitude that were reported previously. The expanded ISDI showed strong evidence of convergent and discriminant validity with the corresponding interview ratings on a clinician rating version of the ISDI. Mean convergent correlations were .68 in students and .70 in patients. Convergent correlations were significantly higher than discriminant correlations in 99.8% of the 624 comparisons. This study also reports the associations of higher order sleep factors with questionnaire and interview measures of pathological symptoms (e.g., depression, anxiety, dissociation, and schizotypy). The Lassitude factor was specific to dysphoria, whereas the Unusual Sleep Experiences factor was specific to posttraumatic stress disorder (PTSD) and dissociation. Finally, several ISDI scales showed strong evidence of specificity in relation to pathological symptoms; in particular, there were strong associations between (a) For over 50 years, researchers have investigated the overlap between sleep disturbances and psychopathology. In this time, a significant body of research has shown that insomnia (including difficulties falling asleep, awakenings during the night, and poor sleep quality) and lassitude (including oversleeping and feelings of fatigue and sleepiness) are associated with depression and anxiety disorders (Benca, 2005;Mellman, 2006;Papadimitriou & Linkowski, 2005;Peterson & Benca, 2006;Stein & Mellman, 2005). More unusual sleep experiences (including narcolepsy symptoms and nightmares) have been linked to dissociation, schizotypy, and posttraumatic stress disorder (PTSD) (Koffel & Watson, 2009b). Watson (2001) refers to these unusual nighttime experiences as sleep-related experiences and suggests that "measures of dissociation, schizotypy and sleep-related experiences define a common domain that is characterized by unusual cognitions and perceptions" (p. 531).ISDIMoving beyond these broad associations to determine which sleep disturbances show specificity to pathological symptoms is important for differential diagnosis. Studies examining the high rates of comorbidity among disorders (particularly the mood and anxiety disorders) have emphasized the need to focus on symptom dimensions that show greater specificity (Watson, 2009). For example, sleep dimensions that are more strongly related to a particular disorder compared to other disorders should be emphasized in the diagnostic criteria. To thoroughly investigate the specificity of sleep disturbances and pathological symptoms (e.g., depression, anxiety, dissociation and schizotypy) it is necessary to have comprehensive measures of sleep disturbances.Although the most widely-used sleep questionnaires demonstrate good psychometric pro...

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Section: Expansion Of the Isdimentioning

confidence: 99%

“…The ISDI scales define a two-factor structure of sleep disturbances that is robust and has been replicated in several studies (Buysse, et al, 2010;Koffel & Watson, 2009a.…”

Section: Expansion Of the Isdimentioning

confidence: 99%

Further validation of the Iowa Sleep Disturbances Inventory.

Koffel

2011

Psychological Assessment

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“…The PROMIS Pediatric v1.0 SD item bank is a 15-item self-report measure for children aged 8-17 years old, developed to determine sleep problems related to falling asleep, staying asleep, and sleep quality (Forrest et al, 2018). The PROMIS Pediatric v1.0 SRI item bank is a 13-item self-report measure for children aged 8-18 years old aiming to assess the perception of functional impairment in daytime functioning related to sleepiness (Bevans et al, 2019;Buysse et al, 2010;Forrest et al, 2018). The SD and SRI are also available in two short forms: four and eight items (Forrest et al, 2018).…”

Section: Sd and Sri-promis Pediatric Item Banksmentioning

confidence: 99%

Psychometric properties and CAT performance of the PROMIS pediatric sleep disturbance, sleep-related impairment, and fatigue item banks in Dutch children and adolescents.

Peersmann¹,

Luijten²,

Haverman³

et al. 2022

Psychological Assessment

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This study’s aim is to evaluate the psychometric properties of the pediatric Patient-Reported Outcomes Measurement Information System (PROMIS) sleep disturbance (SD), sleep-related impairment (SRI), and fatigue item banks in Dutch children and adolescents since they are yet to be validated in this population. Children and adolescents aged 8–18 years old (n = 1,325), representative of the Dutch general population, were invited. The following psychometric properties of both item banks were assessed: structural validity by fitting a graded response model (GRM) for which assumptions were checked and assessing item fit, reliability, and efficiency for the full-length item bank, short forms, and computerized adaptive test (CAT). Mean T scores and cutoff scores for mild, moderate, and severe scores were determined. A total of 527 children (response rate 39.7%) were included. SD did not meet the assumption of unidimensionality. The SRI and fatigue item banks showed sufficient structural validity. Three items showed GRM misfit; SRI item w026c and fatigue items 3224R1r and 4191R1r. Both item banks measured reliable (>.90) at the mean of the population and 2SD in the clinical direction. CATs outperformed short forms in efficiency. Mean T scores for the Dutch population were: SRI 47.5 (SD = 10.0) and fatigue 39.8 (SD = 12.4). Cutoffs included SRI minimal ≥ 34.7, moderate ≥ 55.6, severe ≥ 63.2 and fatigue minimal ≥ 23.9, moderate ≥ 49.9, severe ≥ 61.3. PROMIS pediatric SRI and fatigue item banks, short forms, and CAT showed sufficient structural validity and reliability in the Dutch population. Dutch reference values are provided. More research is needed for the PROMIS SD item bank.

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“…These sleep diary items are analogous to those in the PROMIS Sleep Disturbance scale. 6 They were reverse coded so as to indicate that higher values represent greater nonrestorative sleep. The within-person correlation between the 2 items was .60, and we computed the mean of these 2 items.…”

Section: Day-level Variables Previous Night's Nonrestorative Sleepmentioning

confidence: 99%

Linking Nonrestorative Sleep and Activity Interference Through Pain Catastrophizing and Pain Severity: An Intraday Process Model Among Individuals With Fibromyalgia

Mun¹,

Davis

Campbell³

et al. 2020

The Journal of Pain

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Nonrestorative sleep is a key diagnostic feature of the musculoskeletal pain disorder fibromyalgia and is robustly associated with poor physical functioning, including activity interference. However, the mechanisms through which nonrestorative sleep elicits activity interference among individuals with fibromyalgia at the within-person level remain unclear. The present study tested the following 3-path mediation model, using data gathered from a 21-day electronic daily diary in 220 individuals with fibromyalgia: previous night nonrestorative sleep ! morning pain catastrophizing ! afternoon pain severity ! end-of-day activity interference. Results of multilevel structural equation modeling supported the 3-path mediation model. Previous night's nonrestorative sleep and morning pain catastrophizing were also directly related to end-of-day activity interference. Previous night nonrestorative sleep did not significantly predict afternoon pain severity while controlling for the effect of morning pain catastrophizing. Greater nonrestorative sleep during the previous night and a higher level of morning pain catastrophizing appear to serve as risk factors for experiencing greater daily pain and activity interference later in the day. These findings point to the potential utility of targeted interventions that improve both sleep quality and pain catastrophizing to help individuals with chronic pain engage in important daily activities despite experiencing pain. Perspective: This study provides a better understanding of how nonrestorative sleep is associated with daily activity interference among individuals with fibromyalgia. An intervention that targets attenuating nonrestorative sleep and pain catastrophizing may help improve daily physical functioning of this population.

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Patient-Reported Outcomes Measures Information System for Sleep Disturbance

Cited by 6 publications

References 0 publications

Further validation of the Iowa Sleep Disturbances Inventory.

Further validation of the Iowa Sleep Disturbances Inventory.

Psychometric properties and CAT performance of the PROMIS pediatric sleep disturbance, sleep-related impairment, and fatigue item banks in Dutch children and adolescents.

Linking Nonrestorative Sleep and Activity Interference Through Pain Catastrophizing and Pain Severity: An Intraday Process Model Among Individuals With Fibromyalgia

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