Occupational performance characteristics in patients with attention‐deficit/hyperactivity disorder comorbid with major depressive disorders: Discriminant analysis with major depressive disorders

TL;DR

This study identifies specific occupational behaviors that help distinguish individuals with ADHD and depression from those with depression alone, improving diagnostic accuracy.

Contribution

The study introduces four occupational performance characteristics that effectively differentiate ADHD comorbid with MDD from MDD alone.

Findings

Four occupational performance characteristics achieved 81.3% classification accuracy in distinguishing ADHD-MDD comorbid cases from MDD alone.

The discriminant model showed a high area under the curve (AUC) of 0.857, indicating strong diagnostic potential.

Key traits like 'Work only at your own pace' and 'Ask questions and consult' were significant predictors in the model.

Abstract

Assessing symptoms and daily functioning in individuals with attention‐deficit/hyperactivity disorder (ADHD) comorbid with major depressive disorder (MDD) is challenging because of their limited self‐monitoring abilities. This study aimed to determine whether specific occupational behaviors could differentiate patients with ADHD comorbid with MDD from those with MDD alone.

This study included patients who underwent a comprehensive assessment for suspected difficult‐to‐treat depression at Kyorin University Hospital, Japan. During an artistic activity program, three therapists evaluated occupational performance characteristics to identify potential traits. Characteristics in patients with comorbid ADHD and MDD were compared to those in MDD alone using the chi‐square test. Key discriminators were selected based on significant characteristics (p < 0.01). Discriminant analysis was conducted to enhance group differentiation, with prediction accuracy assessed via area under the curve (AUC). This study was approved by the Research Ethics Committee.

A total of 71 occupational performance characteristics were identified through retrospective analysis, of which 12 showed significant differences between 29 patients with comorbid ADHD and MDD and 35 patients with MDD alone. Four variables were selected as independent predictors in the discriminant analysis: “Have its own manners,” “Feel uncomfortable in groups,” “Work only at your own pace,” and “Ask questions and consult.” These variables contributed to the construction of a linear discriminant function. The discriminant model yielded a Wilks' λ of 0.631 (p < 0.001) and achieved a classification accuracy of 81.3%. The receiver operating characteristic (ROC) curve showed an AUC of 0.857, with a sensitivity of 72.4% and a specificity of 88.6%.

These findings highlight the role of occupational performance characteristics in differentiating comorbid ADHD and MDD from MDD alone. This approach may contribute to more tailored treatment strategies.

This retrospective study identified four occupational performance characteristics that distinguished individuals with ADHD and comorbid MDD from those with MDD alone, achieving 81.3% accuracy (area under the curve [AUC] = 0.857). These findings support the potential of incorporating occupational profiles into assessments to improve diagnostic precision and guide individualized, function‐based interventions.

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