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Individual and Joint Associations of Depression‐Related Symptoms and Sleep Quality With Overall Survival Among Patients With Ovarian Cancer: Evidence From a Prospective Cohort Study.

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Title: Individual and Joint Associations of Depression‐Related Symptoms and Sleep Quality With Overall Survival Among Patients With Ovarian Cancer: Evidence From a Prospective Cohort Study.
Authors: Sun, Jia-Nan (AUTHOR), Li, Yi-Zi (AUTHOR), Wang, Lan (AUTHOR), Song, Xin-Jian (AUTHOR), Liu, Jia-Xin (AUTHOR), Liu, Jia-Cheng (AUTHOR), Wang, Jia-Yi (AUTHOR), Li, Yu (AUTHOR), Chen, Yu-Han (AUTHOR), Liu, Jia-Ming (AUTHOR), Xu, Jin (AUTHOR), Liu, Ke-Xin (AUTHOR), Bao, Qi (AUTHOR), Sun, Ming-Li (AUTHOR), Wu, Lang (AUTHOR), Gao, Song (AUTHOR), Li, Xiao-Ying (AUTHOR), Huang, Dong-Hui (AUTHOR), Ma, Qi-Peng (AUTHOR), Tao, Tao (AUTHOR)
Source: Depression & Anxiety (1091-4269). 1/11/2025, Vol. 2025, p1-15. 15p.
Subjects: Sleep quality, Ovarian cancer, Cohort analysis, Mental depression, General Health Questionnaire, Death rate, Overall survival, Mortality
Abstract: Background: As the evidence linking depression and sleep quality to overall survival (OS) is lacking, we aim to evaluate the individual and joint associations of depression‐related symptoms and sleep quality with OS among patients with ovarian cancer (OC). Method: A total of 554 patients with OC were included. Depression‐related symptoms and sleep quality were measured using the Patient Health Questionnaire (PHQ‐9) and the Pittsburgh Sleep Quality Index (PSQI). The primary analysis utilized the average levels of depression‐related symptoms and sleep quality by averages of PSQI score and PHQ score between pre‐diagnosis and post‐diagnosis. Deaths were ascertained until February 16, 2023, via medical records and active follow‐up. Cox proportional hazard regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) of the joint and individual associations of sleep quality and depression‐related symptoms with OC survival. Result: A total of 205 deaths occurred during a median follow‐up of 44.6 months. The average level of depression‐related symptoms and sleep quality were independently associated with OS (HRdepression vs. no depression = 1.55, 95% CI = 1.10–2.17; HRpoor sleep vs. good sleep = 2.05, 95% CI = 1.51–2.75). We documented multiplicative and additive interactions between these two factors in relation to OS (Pinteraction < 0.01; relative excess risk due to interaction = 0.16, 95% CI = 0.01–0.31). Combinations of depression‐related symptoms and poor sleep quality were positively associated with OC mortality (HR = 2.61, 95% CI = 1.70–4.00), compared to patients with good sleep quality and without depression‐related symptoms. Conclusion: Poor OC survival was observed among patients with poor sleep quality and depression‐related symptoms, independently and jointly. [ABSTRACT FROM AUTHOR]
Copyright of Depression & Anxiety (1091-4269) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Individual and Joint Associations of Depression‐Related Symptoms and Sleep Quality With Overall Survival Among Patients With Ovarian Cancer: Evidence From a Prospective Cohort Study.
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– Name: Abstract
  Label: Abstract
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  Data: Background: As the evidence linking depression and sleep quality to overall survival (OS) is lacking, we aim to evaluate the individual and joint associations of depression‐related symptoms and sleep quality with OS among patients with ovarian cancer (OC). Method: A total of 554 patients with OC were included. Depression‐related symptoms and sleep quality were measured using the Patient Health Questionnaire (PHQ‐9) and the Pittsburgh Sleep Quality Index (PSQI). The primary analysis utilized the average levels of depression‐related symptoms and sleep quality by averages of PSQI score and PHQ score between pre‐diagnosis and post‐diagnosis. Deaths were ascertained until February 16, 2023, via medical records and active follow‐up. Cox proportional hazard regression was used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) of the joint and individual associations of sleep quality and depression‐related symptoms with OC survival. Result: A total of 205 deaths occurred during a median follow‐up of 44.6 months. The average level of depression‐related symptoms and sleep quality were independently associated with OS (HRdepression vs. no depression = 1.55, 95% CI = 1.10–2.17; HRpoor sleep vs. good sleep = 2.05, 95% CI = 1.51–2.75). We documented multiplicative and additive interactions between these two factors in relation to OS (Pinteraction &lt; 0.01; relative excess risk due to interaction = 0.16, 95% CI = 0.01–0.31). Combinations of depression‐related symptoms and poor sleep quality were positively associated with OC mortality (HR = 2.61, 95% CI = 1.70–4.00), compared to patients with good sleep quality and without depression‐related symptoms. Conclusion: Poor OC survival was observed among patients with poor sleep quality and depression‐related symptoms, independently and jointly. [ABSTRACT FROM AUTHOR]
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  Data: &lt;i&gt;Copyright of Depression &amp; Anxiety (1091-4269) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder&#39;s express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.&lt;/i&gt; (Copyright applies to all Abstracts.)
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        Value: 10.1155/da/4907389
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        Text: English
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