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揭示重度抑郁症中抑郁症状缓解与生活质量改善之间的相互作用:基于纵向数据的网络分析

Unveiling the Interplay Between Depressive Symptoms' Alleviation and Quality of Life Improvement in Major Depressive Disorder: A Network Analysis Based on Longitudinal Data.

作者信息

Guo Tong, Feng Yuan, Zhou Jingjing, Meng Linghui, Zhu Xuequan, Chen Xu, Xiao Le, Feng Lei, Zhang Ling, Xiang Yu-Tao, Zhao Yan-Jie, Wang Gang

机构信息

Beijing Key Laboratory of Mental Disorders, National Clinical Research Center for Mental Disorders & National Center for Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, People's Republic of China.

Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, People's Republic of China.

出版信息

Neuropsychiatr Dis Treat. 2024 Aug 30;20:1641-1654. doi: 10.2147/NDT.S462884. eCollection 2024.

Abstract

BACKGROUND

Understanding the dynamic relationship between depressive symptoms and quality of life (QOL) is essential in improving long-term outcomes for patients with Major Depressive Disorder (MDD). While previous studies often relied on cross-sectional data, there is a pressing need for stronger evidence based on longitudinal data to better inform the development of effective clinical interventions. By focusing on key depressive symptoms, such interventions have the potential to ultimately enhance QOL in individuals with MDD.

METHODS

This multi-center prospective study, conducted between 2016 and 2020, enrolled outpatients and inpatients diagnosed with MDD across twelve psychiatric hospitals in China. Longitudinal data on Patient Health Questionnaire - 9 (PHQ-9) and Quality of Life Enjoyment and Satisfaction Questionnaire-Short Form (Q-LES-Q-SF) was analyzed using an Extended Bayesian Information Criterion (EBIC) graphical least absolute shrinkage and selection operator (gLASSO) network model to explore the connections between depressive symptom changes and QOL changes. Flow network was applied to investigate relationships between individual symptom changes and overall QOL score change, as well as daily functional independence.

RESULTS

This study included 818 participants with complete data after 8-week antidepressant treatment. Apart from the overlapping items from PHQ-9 and Q-LES-Q-SF, the three edges between "mood" (delta-QLES2) and "anhedonia" (delta-DEP1), between "physical health" (delta-QLES1) and "sleep problems" (delta-DEP3), and between "physical health" (delta-QLES1) and "sad mood" (delta-DEP2) were the most strong bridges between the cluster of depressive symptoms alleviation and the cluster of QOL change. "Anhedonia" (delta-DEP1), "sad mood" (delta-DEP2) and "loss of energy" (delta-DEP4) had the highest bridge strength between the alleviations of depressive symptoms and the total score change of Q-LES-Q-SF. Anhedonia had the greatest connection with participants' satisfaction with function in daily life.

CONCLUSION

This study highlighted the potential for developing highly effective interventions by targeting on central symptoms, thereby to ultimately improve QOL for patients with MDD.

摘要

背景

了解抑郁症状与生活质量(QOL)之间的动态关系对于改善重度抑郁症(MDD)患者的长期预后至关重要。虽然先前的研究通常依赖横断面数据,但迫切需要基于纵向数据的更有力证据,以便更好地为有效临床干预措施的制定提供信息。通过关注关键的抑郁症状,此类干预措施有可能最终提高MDD患者的生活质量。

方法

这项多中心前瞻性研究于2016年至2020年间进行,纳入了中国12家精神病医院中诊断为MDD的门诊和住院患者。使用扩展贝叶斯信息准则(EBIC)图形最小绝对收缩和选择算子(gLASSO)网络模型分析患者健康问卷-9(PHQ-9)和生活质量享受与满意度问卷简表(Q-LES-Q-SF)的纵向数据,以探索抑郁症状变化与生活质量变化之间的联系。应用流网络来研究个体症状变化与总体生活质量评分变化以及日常功能独立性之间的关系。

结果

本研究纳入了818名在接受8周抗抑郁治疗后拥有完整数据的参与者。除了PHQ-9和Q-LES-Q-SF中的重叠项目外,“情绪”(delta-QLES2)与“快感缺失”(delta-DEP1)之间、“身体健康”(delta-QLES1)与“睡眠问题”(delta-DEP3)之间以及“身体健康”(delta-QLES1)与“悲伤情绪”(delta-DEP2)之间的三条边是抑郁症状缓解集群与生活质量变化集群之间最强的桥梁。“快感缺失”(delta-DEP1)、“悲伤情绪”(delta-DEP2)和“精力丧失”(delta-DEP4)在抑郁症状缓解与Q-LES-Q-SF总分变化之间具有最高的桥梁强度。快感缺失与参与者对日常生活功能的满意度之间的联系最为紧密。

结论

本研究强调了通过针对核心症状开发高效干预措施的潜力,从而最终改善MDD患者的生活质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d18e/11370766/a8af068523ca/NDT-20-1641-g0001.jpg

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