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Potential Causal Relationship Between Depressive Symptoms and Academic Achievement in the Hawaiian High Schools Health Survey Using Contemporary Longitudinal Latent Variable Change Models

机译:夏威夷高中健康调查中抑郁症状与学业成就之间潜在的因果关系,采用当代纵向潜在变量变化模型

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There is a relatively consistent negative relationship between adolescent depressive symptoms and educational achievement (e.g., grade point average [GPA]). However, the causal direction for this association is less certain due to the lack of longitudinal data with both indicators measured across at least 2 time periods and due to the lack of application of more sophisticated contemporary statistical techniques. We present multivariate results from a large longitudinal cohort-sequential study of high school students (N = 7,317) with measures of self-reported depressive symptoms and self-reported GPAs across multiple time points (following McArdle, 2009, and McArdle, Johnson, Hishinuma, Miyamoto, & Andrade, 2001) using an ethnically diverse sample from Hawai'i. Contemporary statistical techniques included bivariate dynamic structural equation modeling (DSEM), multigroup ethnic and gender DSEMs, ordinal scale measurement of key outcomes, and imputation for incomplete longitudinal data. The findings suggest that depressive symptoms affect subsequent academic achievement and not the other way around, especially for Native Hawaiians compared with female non-Hawaiians. We further discuss the scientific, applied, and methodological-statistical implications of the results, including the need for further theorizing and research on mediating variables. We also discuss the need for increased prevention, early intervention, screening, identification, and treatment of depressive symptoms and disorders. Finally, we argue for utilization of more contemporary methodological-statistical techniques, especially when violating parametric test assumptions.
机译:青少年抑郁症状与学业成绩之间存在相对一致的负相关关系(例如,平均绩点[GPA])。但是,由于缺乏纵向数据和至少在两个时间段内测得的两个指标,并且由于缺乏更复杂的当代统计技术的应用,因此这种关联的因果方向不确定。我们提供了一项针对高中生的大型纵向队列研究(N = 7,317)的多变量结果,这些指标针对多个时间点的自我报告的抑郁症状和自我报告的GPA进行了测量(McArdle,2009; McArdle,Johnson,Hishinuma) (Miyamoto和Andrade,2001年)使用夏威夷人的不同种族样本。当代统计技术包括双变量动态结构方程模型(DSEM),多族裔和性别DSEM,关键结果的有序尺度测量以及对不完整纵向数据的估算。研究结果表明,抑郁症状会影响随后的学业成绩,而不是相反的影响,特别是对于夏威夷土著人和女性非夏威夷人而言。我们将进一步讨论结果的科学,应用和方法统计学意义,包括对中介变量进行进一步理论化和研究的必要性。我们还讨论了对抑郁症症状和失调的更多预防,早期干预,筛查,鉴定和治疗的需求。最后,我们主张利用更多当代方法学-统计技术,尤其是在违反参数测试假设的情况下。

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