A study on the sleep quality, pain, and instrumental activities of daily living of outpatients with chronic stroke

Park, JuHyung

doi:10.1589/jpts.31.149

Cited by 6 publications

(5 citation statements)

References 16 publications

(17 reference statements)

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“…We were unable to examine the correlation between the mRS and 0–10 NPRS in our dataset due to unavailability of corresponding datapoints, but previous work reported a weak relationship between pain and the mRS ( 25–27 ). We observed a correlation of −0.097 between the BI and the 0–10 NPRS; considerably weaker than previous work describing associations between the 0–10 NPRS and the Korean Instrumental Activities of Daily Living (K-IADL), reporting a correlation of 0.374 ( 28 ). The capture of pain by EQ-5D-3L was not improved by considering participants’ ability to care for themselves, complete ADLs, presence of anxiety/depression or overall health state.…”

Section: Discussioncontrasting

confidence: 99%

Validation of general pain scores from multidomain assessment tools in stroke

Ali,

Tibble,

Brady

et al. 2024

Front. Neurol.

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PurposeWe describe how well general pain reported in multidomain assessment tools correlated with pain-specific assessment tools; associations between general pain, activities of daily living and independence after stroke.Materials and methodsAnalyses of individual participant data (IPD) from the Virtual International Stroke Trials Archive (VISTA) described correlation coefficients examining (i) direct comparisons of assessments from pain-specific and multidomain assessment tools that included pain, (ii) indirect comparisons of pain assessments with the Barthel Index (BI) and modified Rankin Scale (mRS), and (iii) whether pain identification could be enhanced by accounting for reported usual activities, self-care, mobility and anxiety/depression; factors associated with pain.ResultsEuropean Quality of Life 3- and 5-Level (EQ-5D-3L and EQ-5D-5L), RAND 36 Item Health Survey 1.0 (SF-36) or the 0–10 Numeric Pain Rating Scale (NPRS) were available from 10/94 studies (IPD = 10,002). The 0–10 NPRS was the only available pain-specific assessment tool and was a reference for comparison with other tools. Pearson correlation coefficients between the 0–10 NPRS and (A) the EQ-5D-3L and (B) EQ5D-5 L were r = 0.572 (n = 436) and r = 0.305 (n = 1,134), respectively. mRS was better aligned with pain by EQ-5D-3L (n = 8,966; r = 0.340) than by SF-36 (n = 623; r = 0.318). BI aligned better with pain by SF-36 (n = 623; r = −0.320). Creating a composite score using the EQ-5D 3 L and 5 L comprising pain, mobility, usual-activities, self-care and anxiety/depression did not improve correlation with the 0–10 NPRS.DiscussionThe EQ-5D-3L pain domain aligned better than the EQ-5D-5L with the 0–10 NPRS and may inform general pain description where resources and assessment burden hinder use of additional, pain-specific assessments.

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Section: Discussioncontrasting

confidence: 99%

Validation of general pain scores from multidomain assessment tools in stroke

Ali,

Tibble,

Brady

et al. 2024

Front. Neurol.

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“…Although no previous studies have specifically examined the relationship between motor impairment and sleep disruption measures at the chronic stage of stroke, generally it has been reported that people with more severe stroke self-report worse sleep quality. 14 , 15 , 34 The lack of findings here suggests that the relationships found previously may be influenced by other factors that contribute to stroke severity scores, over and above motor impairment. Information on stroke severity (eg clinical stroke severity scores or lesion volumes) was not available or collected in the current study and therefore we are unable to test this possibility directly.…”

Section: Discussionmentioning

confidence: 59%

“…There is some indication that sleep quality may relate to stroke outcomes, using broad measures of independence in activities of daily living 14 or disability. 15 , 16 We previously demonstrated that sleep disruption during inpatient rehabilitation from stroke and brain injury is associated with poorer motor outcomes 17 and hypothesise that this may be, at least in part, due to impaired consolidation of motor learning underlying motor recovery.…”

Section: Introductionmentioning

confidence: 99%

Self-Reported and Objective Sleep Measures in Stroke Survivors With Incomplete Motor Recovery at the Chronic Stage

Fleming

Smejka

Slater

et al. 2021

Neurorehabil Neural Repair

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Background. Stroke survivors commonly complain of difficulty sleeping. Poor sleep is associated with reduced quality of life and more understanding of long-term consequences of stroke on sleep is needed. Objective. The primary aims were to (1) compare sleep measures between chronic stroke survivors and healthy controls and (2) test for a relationship between motor impairment, time since stroke and sleep. Secondary aims were to explore mood and inactivity as potential correlates of sleep and test the correlation between self-reported and objective sleep measures. Methods. Cross-sectional sleep measures were obtained for 69 chronic stroke survivors (mean 65 months post-stroke, 63 years old, 24 female) and 63 healthy controls (mean 61 years old, 27 female). Self-reported sleep was assessed with the sleep condition indicator (SCI) and sleep diary ratings, objective sleep with 7-nights actigraphy and mood with the Hospital Anxiety and Depression Scale. Upper extremity motor impairment was assessed with the Fugl-Meyer assessment. Results. Stroke survivors had significantly poorer SCI score ( P < .001) and higher wake after sleep onset ( P = .005) than controls. Neither motor impairment, nor time since stroke, explained significant variance in sleep measures for the stroke group. For all participants together, greater depression was associated with poorer SCI score ( R2adj = .197, P < .001) and higher age with more fragmented sleep ( R2adj = .108, P < .001). There were weak correlations between nightly sleep ratings and actigraphy sleep measures ( r s = .15–.24). Conclusions. Sleep disturbance is present long-term after stroke. Depressive symptoms may present a modifiable factor which should be investigated alongside techniques to improve sleep in this population.

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“…1,[9][10][11] Consequently, a reduction in physical functioning, psychological well-being, self-care, activities of daily living, ability to work, and interpersonal relationships has been reported to be associated with reduced sleep quality in adolescents and young adults. [3][4][5][6][7]10,[12][13][14][15][16][17] Emphasizing the importance of sleep quality and including sleep assessment as a major part of the routine clinical practice are necessary. Therefore, a better understanding of sleep quality assessment tools can help in the identification and management of sleep problems before the patients suffer the long-term consequences associated with poor sleep.…”

Section: Introductionmentioning

confidence: 99%

Test-Retest Reliability of a Bilingual Arabic-English Pittsburgh Sleep Quality Index among Adolescents and Young Adults with Good or Poor Sleep Quality

Arumugam,

Mohammad Zadeh,

Alkalih

et al. 2024

Sleep Sci

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Introduction The Pittsburg Sleep Quality Index (PSQI) is widely used in different population groups to assess self-reported sleep quality over the previous month. As the Arabic language is spoken by more than 400 million people, the PSQI has been translated into Arabic for its optimal application to Arabic-speaking individuals. However, the test-retest reliability of the Arabic version of the PSQI has not been reported yet. Objective To examine the reliability and agreement of a bilingual Arabic-English version of the PSQI (AE-PSQI) among bilingual Arabic-English-speaking adolescents and young adults of the United Arab Emirates (UAE) with good or poor sleep quality. Materials and Methods We included 50 bilingual Arabic-English-speaking adolescents and young adults (mean age of 20.82 ± 2.7 years; 30/50 subjects classified as poor sleepers [PSQI > 5] at baseline) who filled put the AE-PSQI twice, 7 days apart. The internal consistency of the AE-PSQI was assessed through the Cronbach's alpha. The intraclass correlation coefficient (ICC[3,1]) was used to assess the test-retest reliability. The standard error of measurement (SEM), the smallest real difference (SRD), and the Bland-Altman plots were used to report agreement measures. Results The global score on the AE-PQSI showed an acceptable level of internal consistency with a Cronbach's alpha value of 0.65, and no floor and ceiling effects were observed. The 95% confidence intervals (95%CI: 0.63-0.87) of the ICC(3,1) revealed moderate to strong reliability estimates for overall AE-PSQI scores. The SEM and SRD were of 1.6 and 4.5 respectively, and the Bland-Altman plots revealed a moderate agreement between the baseline and retest global AE-PQSI scores. Conclusion The AE-PSQI is a reliable instrument to assess sleep quality in bilingual Arabic-English-speaking adolescents and young adults with good or poor sleep quality. Further studies on the validity and responsiveness of the AE-PSQI are warranted in individuals with and without sleep disorders.

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A study on the sleep quality, pain, and instrumental activities of daily living of outpatients with chronic stroke

Cited by 6 publications

References 16 publications

Validation of general pain scores from multidomain assessment tools in stroke

Validation of general pain scores from multidomain assessment tools in stroke

Self-Reported and Objective Sleep Measures in Stroke Survivors With Incomplete Motor Recovery at the Chronic Stage

Test-Retest Reliability of a Bilingual Arabic-English Pittsburgh Sleep Quality Index among Adolescents and Young Adults with Good or Poor Sleep Quality

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