Journal article 8 views
The relationship between dyslexia, autism, and academic outcomes: longitudinal analysis of population-level education and health data
Oxford Review of Education, Pages: 1 - 21
Swansea University Authors:
Cathryn Knight , Emily Lowthian
, Tom Crick
, Sarah Rees
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1080/03054985.2025.2590464
Abstract
Dyslexia and autism are neurodevelopmental conditions known to influence educational experiences, yet their distinct impacts on academic outcomes remain underexplored in large-scale population studies. This study utilises longitudinal, population-level administrative data from Wales to examine the r...
| Published in: | Oxford Review of Education |
|---|---|
| ISSN: | 0305-4985 1465-3915 |
| Published: |
Taylor and Francis
2025
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa71592 |
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2026-03-09T10:25:56Z |
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| last_indexed |
2026-03-10T05:31:07Z |
| id |
cronfa71592 |
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SURis |
| fullrecord |
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| spelling |
2026-03-09T10:28:19.0598087 v2 71592 2026-03-09 The relationship between dyslexia, autism, and academic outcomes: longitudinal analysis of population-level education and health data e43d033fc7f2ccc9317c49df10b9b7bb 0000-0002-7574-3090 Cathryn Knight Cathryn Knight true false db5bc529b8a9dfca2b4a268d14e03479 0000-0001-9362-0046 Emily Lowthian Emily Lowthian true false 200c66ef0fc55391f736f6e926fb4b99 0000-0001-5196-9389 Tom Crick Tom Crick true false 86073be88970f36d7ffa0a1f0768be2b 0000-0002-1939-0120 Sarah Rees Sarah Rees true false 2026-03-09 SOSS Dyslexia and autism are neurodevelopmental conditions known to influence educational experiences, yet their distinct impacts on academic outcomes remain underexplored in large-scale population studies. This study utilises longitudinal, population-level administrative data from Wales to examine the relationships between dyslexia and autism identification and educational attainment across all key educational stages in children born between 2002 and 2008 (Nā=ā204,497). Using multilevel modelling, we assess the demographic, health, and socioeconomic predictors of dyslexia and autism identification and their associations with meeting national educational expectations. Our findings indicate that both dyslexia and autism are linked to lower academic attainment, with autism exhibiting a greater negative association. The results highlight disparities in identification based on gender, health service usage, deprivation levels, and birth season, suggesting potential biases in identification and support systems. These findings offer critical insights into current patterns of identification and attainment among neurodivergent learners in Wales and serve a valuable baseline for future research evaluating the impact of ongoing education reforms. Journal Article Oxford Review of Education 1 21 Taylor and Francis 0305-4985 1465-3915 26 11 2025 2025-11-26 10.1080/03054985.2025.2590464 https://doi.org/10.1080/03054985.2025.2590464 COLLEGE NANME Social Sciences School COLLEGE CODE SOSS Swansea University Another institution paid the OA fee Nuffield Foundation 2026-03-09T10:28:19.0598087 2026-03-09T10:23:19.0078508 Faculty of Humanities and Social Sciences School of Social Sciences - Education and Childhood Studies Cathryn Knight 0000-0002-7574-3090 1 Emily Lowthian 0000-0001-9362-0046 2 Emma Jenks 0009-0003-3035-9962 3 Carys Jones 0009-0000-0549-3578 4 Tom Crick 0000-0001-5196-9389 5 Sarah Rees 0000-0002-1939-0120 6 |
| title |
The relationship between dyslexia, autism, and academic outcomes: longitudinal analysis of population-level education and health data |
| spellingShingle |
The relationship between dyslexia, autism, and academic outcomes: longitudinal analysis of population-level education and health data Cathryn Knight Emily Lowthian Tom Crick Sarah Rees |
| title_short |
The relationship between dyslexia, autism, and academic outcomes: longitudinal analysis of population-level education and health data |
| title_full |
The relationship between dyslexia, autism, and academic outcomes: longitudinal analysis of population-level education and health data |
| title_fullStr |
The relationship between dyslexia, autism, and academic outcomes: longitudinal analysis of population-level education and health data |
| title_full_unstemmed |
The relationship between dyslexia, autism, and academic outcomes: longitudinal analysis of population-level education and health data |
| title_sort |
The relationship between dyslexia, autism, and academic outcomes: longitudinal analysis of population-level education and health data |
| author_id_str_mv |
e43d033fc7f2ccc9317c49df10b9b7bb db5bc529b8a9dfca2b4a268d14e03479 200c66ef0fc55391f736f6e926fb4b99 86073be88970f36d7ffa0a1f0768be2b |
| author_id_fullname_str_mv |
e43d033fc7f2ccc9317c49df10b9b7bb_***_Cathryn Knight db5bc529b8a9dfca2b4a268d14e03479_***_Emily Lowthian 200c66ef0fc55391f736f6e926fb4b99_***_Tom Crick 86073be88970f36d7ffa0a1f0768be2b_***_Sarah Rees |
| author |
Cathryn Knight Emily Lowthian Tom Crick Sarah Rees |
| author2 |
Cathryn Knight Emily Lowthian Emma Jenks Carys Jones Tom Crick Sarah Rees |
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Journal article |
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Oxford Review of Education |
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1 |
| publishDate |
2025 |
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Swansea University |
| issn |
0305-4985 1465-3915 |
| doi_str_mv |
10.1080/03054985.2025.2590464 |
| publisher |
Taylor and Francis |
| college_str |
Faculty of Humanities and Social Sciences |
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Faculty of Humanities and Social Sciences |
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School of Social Sciences - Education and Childhood Studies{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Social Sciences - Education and Childhood Studies |
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https://doi.org/10.1080/03054985.2025.2590464 |
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| description |
Dyslexia and autism are neurodevelopmental conditions known to influence educational experiences, yet their distinct impacts on academic outcomes remain underexplored in large-scale population studies. This study utilises longitudinal, population-level administrative data from Wales to examine the relationships between dyslexia and autism identification and educational attainment across all key educational stages in children born between 2002 and 2008 (Nā=ā204,497). Using multilevel modelling, we assess the demographic, health, and socioeconomic predictors of dyslexia and autism identification and their associations with meeting national educational expectations. Our findings indicate that both dyslexia and autism are linked to lower academic attainment, with autism exhibiting a greater negative association. The results highlight disparities in identification based on gender, health service usage, deprivation levels, and birth season, suggesting potential biases in identification and support systems. These findings offer critical insights into current patterns of identification and attainment among neurodivergent learners in Wales and serve a valuable baseline for future research evaluating the impact of ongoing education reforms. |
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2025-11-26T05:35:09Z |
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11.099403 |

