Cognitive function and depressive symptoms in major depressive disorder: a smartphone-based study of outpatients from a sleep-disorders clinic in China

Background: Subjective cognitive dysfunction is common in patients with major depressive disorder (MDD), but its relationship with depressive symptoms and treatment response remains unclear, especially in routine clinical settings in China. Methods: We conducted an 8-week retrospective observational study using routinely collected data from the "Good Sleep 365" smartphone platform at the Sleep Disorders Diagnosis and Treatment Center of Hangzhou Seventh People's Hospital (China) between 1 November 2017 and 10 October 2024. Adults aged 18-65 years who met ICD-10 criteria for a depressive episode, had baseline PHQ-9 ≥10, and completed the PDQ-D-20 were included. PHQ-9 and PDQ-D-20 were assessed at baseline and at weeks 2, 4, 6 and 8. Correlations between depressive symptoms and subjective cognition were examined. Among 233 patients who completed all follow-ups, three hierarchical logistic regression models were built to predict antidepressant response (PHQ-9 reduction ≥50% at week 8), and their performance was evaluated using ROC curves, calibration, decision curve analysis and a nomogram. Results: In 321 patients with MDD, higher PHQ-9 scores were consistently associated with more severe PDQ-D-20 total and domain scores at all time points. Higher baseline PDQ-D-20 scores predicted smaller reductions in PHQ-9. Baseline depressive and cognitive measures did not show marked associations with age, sex, education level, occupation or illness duration. The fully adjusted logistic model that combined baseline PDQ-D-20, symptom scales and demographic/clinical variables showed good discrimination (AUC ≈0.91) and acceptable calibration, and baseline PDQ-D-20 remained an independent predictor of non-response. Conclusion: In this smartphone-based cohort of Chinese outpatients from a sleep-disorders clinic, subjective cognitive dysfunction was closely related to depressive symptom burden and predicted poorer antidepressant response, suggesting that routine cognitive assessment may help identify patients at risk of suboptimal outcomes.

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Publication Details

Journal
Frontiers in Psychiatry
Published
2026-04-16
DOI
https://doi.org/10.3389/fpsyt.2026.1713792
Primary Topic
Sleep and related disorders
Type
article
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article

Cognitive function and depressive symptoms in major depressive disorder: a smartphone-based study of outpatients from a sleep-disorders clinic in China

Zhenghe Yu, Mingfen Song, Hongjing Mao, Junhang Zhang et al.
Frontiers in Psychiatry
Sleep and related disorders
article

Cognitive function and depressive symptoms in major depressive disorder: a smartphone-based study of outpatients from a sleep-disorders clinic in China

Zhenghe Yu, Mingfen Song, Hongjing Mao, Junhang Zhang, Ci Yan, Pan Yan
article en

Abstract

Background: Subjective cognitive dysfunction is common in patients with major depressive disorder (MDD), but its relationship with depressive symptoms and treatment response remains unclear, especially in routine clinical settings in China. Methods: We conducted an 8-week retrospective observational study using routinely collected data from the "Good Sleep 365" smartphone platform at the Sleep Disorders Diagnosis and Treatment Center of Hangzhou Seventh People's Hospital (China) between 1 November 2017 and 10 October 2024. Adults aged 18-65 years who met ICD-10 criteria for a depressive episode, had baseline PHQ-9 ≥10, and completed the PDQ-D-20 were included. PHQ-9 and PDQ-D-20 were assessed at baseline and at weeks 2, 4, 6 and 8. Correlations between depressive symptoms and subjective cognition were examined. Among 233 patients who completed all follow-ups, three hierarchical logistic regression models were built to predict antidepressant response (PHQ-9 reduction ≥50% at week 8), and their performance was evaluated using ROC curves, calibration, decision curve analysis and a nomogram. Results: In 321 patients with MDD, higher PHQ-9 scores were consistently associated with more severe PDQ-D-20 total and domain scores at all time points. Higher baseline PDQ-D-20 scores predicted smaller reductions in PHQ-9. Baseline depressive and cognitive measures did not show marked associations with age, sex, education level, occupation or illness duration. The fully adjusted logistic model that combined baseline PDQ-D-20, symptom scales and demographic/clinical variables showed good discrimination (AUC ≈0.91) and acceptable calibration, and baseline PDQ-D-20 remained an independent predictor of non-response. Conclusion: In this smartphone-based cohort of Chinese outpatients from a sleep-disorders clinic, subjective cognitive dysfunction was closely related to depressive symptom burden and predicted poorer antidepressant response, suggesting that routine cognitive assessment may help identify patients at risk of suboptimal outcomes.

Frontiers in PsychiatryVol. 17
Hangzhou Seventh Peoples Hospital (CN)
Reduced inequalities
Openalex Percentile: Top 19%
Sleep and related disorders
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