Wickersham Alice, Carter Ben, Jewell Amelia, Ford Tamsin, Stewart Robert, Downs Johnny
Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
J Child Psychol Psychiatry. 2023 Nov;64(11):1617-1627. doi: 10.1111/jcpp.13759. Epub 2023 Jan 30.
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.
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).
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.
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.
抑郁症状被认为与较低的教育程度有关,但在童年和青少年时期任何时候接受抑郁症临床诊断的人群中,教育程度的变化模式仍不明确。
我们对英国伦敦一家大型精神卫生保健机构(2007年至2013年)的全国教育数据集(全国学生数据库)与化名电子健康记录(临床记录交互式搜索)之间现有的数据关联进行了二次分析。纳入了一个由222,027名学生组成的队列。我们使用生长混合模型(GMM)和利益相关者的意见来估计2、6和11学年标准化教育程度的轨迹。然后使用多项逻辑回归分析来研究所得教育程度轨迹类别(结果)与18岁之前任何时间的抑郁症诊断(暴露)之间的关联。
得出了一个关于学业成就的五轨迹GMM解决方案:(1)平均/高稳定型,(2)平均适度下降型,(3)平均急剧下降型,(4)低进步型和(5)低稳定型。在调整了临床和社会人口统计学协变量后,18岁之前被诊断为抑郁症与处于平均适度下降轨迹(相对风险比=2.80,95%置信区间2.36 - 3.32,p <.001)或平均急剧下降轨迹(相对风险比=3.54,95%置信区间3.10 - 4.04,p <.001)相关,与平均/高稳定轨迹相比。
18岁之前被诊断为抑郁症与整个学校期间学业成绩的相对下降有关。虽然这些发现不能支持因果关系,但它们仍然表明需要为患有抑郁症的学生及时提供心理健康和教育支持。