Physical and psychological aspects of multiple sclerosis: Revisiting the Multiple Sclerosis Impact Scale (MSIS-29) Article Swipe
Carolyn Young
,
David Rog
,
Basil Sharrack
,
Radu Tanasescu
,
Seema Kalra
,
Suresh Kumar Chhetri
,
Lisa Wilde
,
Roger Mills
,
Alan Tennant
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1177/13524585241288393
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1177/13524585241288393
Background: The MSIS-29 measures the physical and psychological impact of MS. Objective: The associations between MSIS-29 domains and demographic/clinical aspects were examined and trajectories analysed over time. Methods: Data were collected in the Trajectories of Outcome in Neurological Conditions study for a diverse population of people with MS, with follow-up for up to 5 years. Following Rasch analysis, minimal important change (MIC) was computed for ensuing total, physical and psychological domains. Results: Fit to the Rasch model using data from 5921 participants validated physical, psychological and total domains, and the conversion table transforms raw scores to interval-level metric equivalents. These domains showed significant differences across demographic (age, gender, employment, education, and marital status) and clinical (subtype, treatment, and duration) factors with large effect sizes. The MIC scores were physical: 9.1, total: 14.1, which were both above measurement error, and psychological: 5.5 which was not, so 1.6% of participants reported psychological change which was clinically important but not statistically significant. Trajectory analysis showed three groups, one stable and two with significant slopes, improving and deteriorating. Conclusion: The MSIS-29 has shown adequate fit to the Rasch model after accommodating problems with local item dependency, through a bi-factor solution. The domains showed good discrimination across key factors.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1177/13524585241288393
- https://journals.sagepub.com/doi/pdf/10.1177/13524585241288393
- OA Status
- hybrid
- Cited By
- 5
- References
- 28
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403888482
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4403888482Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1177/13524585241288393Digital Object Identifier
- Title
-
Physical and psychological aspects of multiple sclerosis: Revisiting the Multiple Sclerosis Impact Scale (MSIS-29)Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-10-30Full publication date if available
- Authors
-
Carolyn Young, David Rog, Basil Sharrack, Radu Tanasescu, Seema Kalra, Suresh Kumar Chhetri, Lisa Wilde, Roger Mills, Alan TennantList of authors in order
- Landing page
-
https://doi.org/10.1177/13524585241288393Publisher landing page
- PDF URL
-
https://journals.sagepub.com/doi/pdf/10.1177/13524585241288393Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://journals.sagepub.com/doi/pdf/10.1177/13524585241288393Direct OA link when available
- Concepts
-
Rasch model, Psychology, Clinical psychology, Multiple sclerosis, Marital status, Scale (ratio), Population, Raw score, Physical therapy, Physical medicine and rehabilitation, Developmental psychology, Demography, Medicine, Statistics, Psychiatry, Raw data, Mathematics, Sociology, Quantum mechanics, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 1Per-year citation counts (last 5 years)
- References (count)
-
28Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.and | 6, 17, 22, 68, 85, 88, 110, 113, 117, 138, 166, 172 |
| abstract_inverted_index.but | 155 |
| abstract_inverted_index.fit | 180 |
| abstract_inverted_index.for | 40, 50, 64 |
| abstract_inverted_index.has | 177 |
| abstract_inverted_index.key | 202 |
| abstract_inverted_index.not | 156 |
| abstract_inverted_index.one | 164 |
| abstract_inverted_index.raw | 93 |
| abstract_inverted_index.the | 4, 32, 74, 89, 182 |
| abstract_inverted_index.two | 167 |
| abstract_inverted_index.was | 62, 142, 152 |
| abstract_inverted_index.1.6% | 145 |
| abstract_inverted_index.5921 | 80 |
| abstract_inverted_index.9.1, | 129 |
| abstract_inverted_index.Data | 28 |
| abstract_inverted_index.both | 134 |
| abstract_inverted_index.data | 78 |
| abstract_inverted_index.from | 79 |
| abstract_inverted_index.good | 199 |
| abstract_inverted_index.item | 190 |
| abstract_inverted_index.not, | 143 |
| abstract_inverted_index.over | 25 |
| abstract_inverted_index.were | 20, 29, 127, 133 |
| abstract_inverted_index.with | 46, 48, 120, 168, 188 |
| abstract_inverted_index.(MIC) | 61 |
| abstract_inverted_index.(age, | 106 |
| abstract_inverted_index.14.1, | 131 |
| abstract_inverted_index.Rasch | 56, 75, 183 |
| abstract_inverted_index.These | 99 |
| abstract_inverted_index.above | 135 |
| abstract_inverted_index.after | 185 |
| abstract_inverted_index.large | 121 |
| abstract_inverted_index.local | 189 |
| abstract_inverted_index.model | 76, 184 |
| abstract_inverted_index.shown | 178 |
| abstract_inverted_index.study | 39 |
| abstract_inverted_index.table | 91 |
| abstract_inverted_index.three | 162 |
| abstract_inverted_index.time. | 26 |
| abstract_inverted_index.total | 86 |
| abstract_inverted_index.using | 77 |
| abstract_inverted_index.which | 132, 141, 151 |
| abstract_inverted_index.across | 104, 201 |
| abstract_inverted_index.change | 60, 150 |
| abstract_inverted_index.effect | 122 |
| abstract_inverted_index.error, | 137 |
| abstract_inverted_index.impact | 8 |
| abstract_inverted_index.metric | 97 |
| abstract_inverted_index.people | 45 |
| abstract_inverted_index.scores | 94, 126 |
| abstract_inverted_index.showed | 101, 161, 198 |
| abstract_inverted_index.sizes. | 123 |
| abstract_inverted_index.stable | 165 |
| abstract_inverted_index.total, | 66 |
| abstract_inverted_index.total: | 130 |
| abstract_inverted_index.years. | 54 |
| abstract_inverted_index.MSIS-29 | 2, 15, 176 |
| abstract_inverted_index.Outcome | 35 |
| abstract_inverted_index.aspects | 19 |
| abstract_inverted_index.between | 14 |
| abstract_inverted_index.diverse | 42 |
| abstract_inverted_index.domains | 16, 100, 197 |
| abstract_inverted_index.ensuing | 65 |
| abstract_inverted_index.factors | 119 |
| abstract_inverted_index.gender, | 107 |
| abstract_inverted_index.groups, | 163 |
| abstract_inverted_index.marital | 111 |
| abstract_inverted_index.minimal | 58 |
| abstract_inverted_index.slopes, | 170 |
| abstract_inverted_index.status) | 112 |
| abstract_inverted_index.through | 192 |
| abstract_inverted_index.Methods: | 27 |
| abstract_inverted_index.Results: | 71 |
| abstract_inverted_index.adequate | 179 |
| abstract_inverted_index.analysed | 24 |
| abstract_inverted_index.analysis | 160 |
| abstract_inverted_index.clinical | 114 |
| abstract_inverted_index.computed | 63 |
| abstract_inverted_index.domains, | 87 |
| abstract_inverted_index.domains. | 70 |
| abstract_inverted_index.examined | 21 |
| abstract_inverted_index.factors. | 203 |
| abstract_inverted_index.measures | 3 |
| abstract_inverted_index.physical | 5, 67 |
| abstract_inverted_index.problems | 187 |
| abstract_inverted_index.reported | 148 |
| abstract_inverted_index.(subtype, | 115 |
| abstract_inverted_index.Following | 55 |
| abstract_inverted_index.analysis, | 57 |
| abstract_inverted_index.bi-factor | 194 |
| abstract_inverted_index.collected | 30 |
| abstract_inverted_index.duration) | 118 |
| abstract_inverted_index.follow-up | 49 |
| abstract_inverted_index.important | 59, 154 |
| abstract_inverted_index.improving | 171 |
| abstract_inverted_index.physical, | 83 |
| abstract_inverted_index.physical: | 128 |
| abstract_inverted_index.solution. | 195 |
| abstract_inverted_index.validated | 82 |
| abstract_inverted_index.Conditions | 38 |
| abstract_inverted_index.Objective: | 11 |
| abstract_inverted_index.Trajectory | 159 |
| abstract_inverted_index.clinically | 153 |
| abstract_inverted_index.conversion | 90 |
| abstract_inverted_index.education, | 109 |
| abstract_inverted_index.population | 43 |
| abstract_inverted_index.transforms | 92 |
| abstract_inverted_index.treatment, | 116 |
| abstract_inverted_index.Background: | 0 |
| abstract_inverted_index.Conclusion: | 174 |
| abstract_inverted_index.demographic | 105 |
| abstract_inverted_index.dependency, | 191 |
| abstract_inverted_index.differences | 103 |
| abstract_inverted_index.employment, | 108 |
| abstract_inverted_index.measurement | 136 |
| abstract_inverted_index.significant | 102, 169 |
| abstract_inverted_index.Neurological | 37 |
| abstract_inverted_index.Trajectories | 33 |
| abstract_inverted_index.associations | 13 |
| abstract_inverted_index.equivalents. | 98 |
| abstract_inverted_index.participants | 81, 147 |
| abstract_inverted_index.significant. | 158 |
| abstract_inverted_index.trajectories | 23 |
| abstract_inverted_index.accommodating | 186 |
| abstract_inverted_index.psychological | 7, 69, 84, 149 |
| abstract_inverted_index.statistically | 157 |
| abstract_inverted_index.deteriorating. | 173 |
| abstract_inverted_index.discrimination | 200 |
| abstract_inverted_index.interval-level | 96 |
| abstract_inverted_index.psychological: | 139 |
| abstract_inverted_index.demographic/clinical | 18 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 9 |
| citation_normalized_percentile.value | 0.90894162 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |