[article]
Titre : |
Association between depression diagnosis and educational attainment trajectories: an historical cohort study using linked data |
Type de document : |
Texte imprimé et/ou numérique |
Auteurs : |
Alice WICKERSHAM, Auteur ; Ben CARTER, Auteur ; Amelia JEWELL, Auteur ; Tamsin FORD, Auteur ; Robert STEWART, Auteur ; Johnny DOWNS, Auteur |
Article en page(s) : |
p.1617-1627 |
Langues : |
Anglais (eng) |
Index. décimale : |
PER Périodiques |
Résumé : |
Background Depression symptoms are thought to be associated with lower educational attainment, but patterns of change in attainment among those who receive a clinical diagnosis of depression at any point during childhood and adolescence remain unclear. Methods We conducted a secondary analysis of an existing data linkage between a national educational dataset (National Pupil Database) and pseudonymised electronic health records (Clinical Record Interactive Search) from a large mental healthcare provider in London, United Kingdom (2007 to 2013). A cohort of 222,027 pupils were included. We used Growth Mixture Modelling (GMM) and stakeholder input to estimate trajectories of standardised educational attainment over School Years 2, 6 and 11. Multinomial logistic regression analyses were then used to investigate the association between resulting educational attainment trajectory membership (outcome) and depression diagnosis any time before age 18 (exposure). Results A five-trajectory GMM solution for attainment was derived: (1) average/high-stable, (2) average-modest declining, (3) average-steep declining, (4) low-improving and (5) low-stable. After adjusting for clinical and sociodemographic covariates, having a depression diagnosis before age 18 was associated with occupying the average-modest declining trajectory (RRR = 2.80, 95% CI 2.36-3.32, p<.001) or the average-steep declining trajectory (RRR = 3.54, 95% CI 3.10-4.04, p<.001), as compared to the average/high-stable trajectory. Conclusions Receiving a diagnosis of depression before age 18 was associated with a relative decline in attainment throughout school. While these findings cannot support a causal direction, they nonetheless suggest a need for timely mental health and educational support among pupils struggling with depression. |
En ligne : |
https://doi.org/10.1111/jcpp.13759 |
Permalink : |
https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=512 |
in Journal of Child Psychology and Psychiatry > 64-11 (November 2023) . - p.1617-1627
[article] Association between depression diagnosis and educational attainment trajectories: an historical cohort study using linked data [Texte imprimé et/ou numérique] / Alice WICKERSHAM, Auteur ; Ben CARTER, Auteur ; Amelia JEWELL, Auteur ; Tamsin FORD, Auteur ; Robert STEWART, Auteur ; Johnny DOWNS, Auteur . - p.1617-1627. Langues : Anglais ( eng) in Journal of Child Psychology and Psychiatry > 64-11 (November 2023) . - p.1617-1627
Index. décimale : |
PER Périodiques |
Résumé : |
Background Depression symptoms are thought to be associated with lower educational attainment, but patterns of change in attainment among those who receive a clinical diagnosis of depression at any point during childhood and adolescence remain unclear. Methods We conducted a secondary analysis of an existing data linkage between a national educational dataset (National Pupil Database) and pseudonymised electronic health records (Clinical Record Interactive Search) from a large mental healthcare provider in London, United Kingdom (2007 to 2013). A cohort of 222,027 pupils were included. We used Growth Mixture Modelling (GMM) and stakeholder input to estimate trajectories of standardised educational attainment over School Years 2, 6 and 11. Multinomial logistic regression analyses were then used to investigate the association between resulting educational attainment trajectory membership (outcome) and depression diagnosis any time before age 18 (exposure). Results A five-trajectory GMM solution for attainment was derived: (1) average/high-stable, (2) average-modest declining, (3) average-steep declining, (4) low-improving and (5) low-stable. After adjusting for clinical and sociodemographic covariates, having a depression diagnosis before age 18 was associated with occupying the average-modest declining trajectory (RRR = 2.80, 95% CI 2.36-3.32, p<.001) or the average-steep declining trajectory (RRR = 3.54, 95% CI 3.10-4.04, p<.001), as compared to the average/high-stable trajectory. Conclusions Receiving a diagnosis of depression before age 18 was associated with a relative decline in attainment throughout school. While these findings cannot support a causal direction, they nonetheless suggest a need for timely mental health and educational support among pupils struggling with depression. |
En ligne : |
https://doi.org/10.1111/jcpp.13759 |
Permalink : |
https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=512 |
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