| Literature DB >> 30940047 |
Satu Baylan1, Caroline Haig2, Maxine MacDonald1, Ciara Stiles1,3, Jake Easto1,3, Meigan Thomson1, Breda Cullen1, Terence J Quinn4, David Stott4, Stewart W Mercer1,5, Niall M Broomfield3,6, Heather Murray2, Jonathan J Evans1.
Abstract
BACKGROUND: Cognitive deficits and low mood are common post-stroke. Music listening is suggested to have beneficial effects on cognition, while mindfulness may improve mood. Combining these approaches may enhance cognitive recovery and improve mood early post-stroke. AIMS: To assess the feasibility and acceptability of a novel mindful music listening intervention.Entities:
Keywords: Mindfulness; audiobooks; cognition; ischemic; mood; music; rehabilitation; stroke
Mesh:
Year: 2019 PMID: 30940047 PMCID: PMC7045280 DOI: 10.1177/1747493019841250
Source DB: PubMed Journal: Int J Stroke ISSN: 1747-4930 Impact factor: 5.266
Figure 1.Participant flow.
Assessments
| Cognitive domain | |
|---|---|
| Global Cognition | Montreal Cognitive Assessment (MoCA)[ |
| Attention | Test of Everyday Attention (TEA)[ |
| Sustained attention | Sustained Attention to Response Task (SART)[ |
| Verbal memory | BIRT Memory and Information Processing Battery (BMIPB)[ |
| Speed of processing | BMIPB17 Speed of information processing |
| Reaction time | CANTAB[ |
| Verbal working memory | Wechsler Adult Intelligence Scale – Fourth Edition (WAIS-IV)[ |
| Visual working memory | Wechsler Memory Scale – Fourth Edition (WMS-IV)[ |
| Phonemic fluency | Controlled Oral Word Association Test[ |
|
| |
| Mood | Hospital Anxiety and Depression Scale (HADS)[ |
| Attentional control | Metacognitions Questionnaire short form (MCQ-30)[ |
| Mindfulness | Five Facet Mindfulness Questionnaire short form (FFMQ-SF)[ |
| Emotion regulation | Brain Injury Rehabilitation Trust Regulation of Emotions
Questionnaire (BREQ)[ |
| Functional independence | Mayo-Portland Adaptability Inventory-4 (MPAI-4)[ |
Figure 2.CONSORT Flowchart.
Baseline participant characteristics
| Overall ( | Mindfulness ( | Music ( | Audiobook ( | ||
|---|---|---|---|---|---|
| Age (years) | Mean (SD) | 64.0 (11.60) | 65.3 (11.13) | 61.1 (10.36) | 65.7 (12.97) |
| Gender | Male | 45 (62.5%) | 13 (56.5%) | 17 (70.8%) | 15 (60.0%) |
| Education (years) | Median (IQR) | 11.0 (10.0, 15.0) | 12.0 (10.0, 15.0) | 11.2 (10.5, 15.0) | 10.0 (10.0, 13.0) |
| SIMD quintile | 0–20% | 32(44.4%) | 6 (26.1%) | 13 (54.2%) | 13 (52.0%) |
| 0% most deprived, | 20–40% | 14(19.4%) | 7(30.4%) | 5(20.8%) | 2(8.0%) |
| 100% least deprived | 40–60% | 9 (12.5%) | 4 (17.4%) | 2 (8.3%) | 3 (12.0%) |
| 60–80% | 10 (13.9%) | 2 (8.7%) | 2 (8.3%) | 6 (24.0%) | |
| 80–100% | 7 (9.7%) | 4(17.4%) | 2 (8.3%) | 1 (4.0%) | |
| Oxford stroke classification | Cortical | 46 (63.9%) | 15 (65.2%) | 15 (62.5%) | 16 (64.0%) |
| Subcortical | 26 (36.1%) | 8(34.8%) | 9 (37.5%) | 9 (36.0%) | |
| If cortical, type | TACS | 3 (6.5%) | 1 (6.7%) | 1 (6.7%) | 1 (6.3%) |
| PACS | 21 (45.7%) | 9 (60.0%) | 5 (33.3%) | 7 (43.8%) | |
| POCS | 22 (47.8%) | 5(33.3%) | 9 (60.0%) | 8 (50.0%) | |
| Hemisphere | Right | 27 (38.0%) | 6 (27.3%) | 10 (41.7%) | 11 (44.0%) |
| Left | 40 (56.3%) | 15 (68.2%) | 14 (58.3%) | 11 (44.0%) | |
| Other | 4 (5.6%) | 1 (4.5%) | 0 | 3 (12.0%) | |
| Stroke recurrence | First | 59 (81.9%) | 19 (82.6%) | 20 (83.3%) | 20 (80.0%) |
| Second | 12 (16.7%) | 3 (13.0%) | 4 (16.7%) | 5 (20.0%) | |
| Third or more | 1 (1.4%) | 1 (4.3%) | 0 | 0 | |
| Modified Rankin scale | 0 (no symptoms) | 5 (6.9%) | 4 (17.4%) | 0 | 1(4.0%) |
| 1 | 22 (30.7%) | 7 (30.4%) | 9 (37.5%) | 6 (24.0%) | |
| 2 | 33 (45.8%) | 7 (30.4%) | 14 (58.3%) | 12 (48.0%) | |
| 3 | 6 (8.3%) | 3 (13.0%) | 0 | 3 (12.0%) | |
| 4 (Moderately severe disability) | 6 (8.3%) | 2 (8.7%) | 1 (4.2%) | 3 (12.0%) | |
IQR: interquartile range; PACS: partial anterior circulation stroke; POCS: posterior circulation stroke; SD: standard deviation; SIMD: Scottish index of multiple deprivation; TACS: total anterior circulation stroke