ORIGINAL RESEARCH article
Front. Psychiatry
Sec. Mood Disorders
Volume 16 - 2025 | doi: 10.3389/fpsyt.2025.1586086
Network Analysis of Depressive Symptoms, Cognitive Functioning, and Life Satisfaction Among Healthcare Workers
Provisionally accepted
Xiumei Hou1Yan Wang1Yang Wu2Qinge Shen2Ping Liu1Yunshuai Xu1Jicheng Dong3Yaping Wang4
Min Chen2
Jian Cui1*- 1Shandong Daizhuang Hospital, Jining, China
- 2Jining Medical University, Jining, Shandong, China
- 3Qingdao Mental Health Center, Qingdao, Shandong Province, China
- 4Capital Medical University, Beijing, Beijing Municipality, China
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Depression and cognitive impairment among healthcare workers significantly affect their life satisfaction (LS). This study used network analysis to explore the associations between depression, cognitive symptoms, and LS in healthcare workers.A total of 655 healthcare workers were assessed using the Patient Health Questionnaire (PHQ-9), the Perceived Deficits Questionnaire-Depression (PDQ-D), and the Quality of Life Enjoyment and Satisfaction Questionnaire-Short Form (Q-LES-Q-SF). Regularized partial correlation network analysis was conducted, focusing on the strength values and predictability of each item in the network. The R software was used for statistical analysis and visualization of the network.The average PHQ-9 depression score was 4.79, while the mean cognitive symptoms score was 15.38 (Our score range for all participants: PDQ-D 0 -70; PHQ-9 0 -27). Network analysis revealed that PDQ12 ("Trouble getting started"), PDQ13 ("Drifting"), and PDQ17("Remembering numbers") were the central symptoms of the entire depression-cognition network. PHQ1 ("Anhedonia"), PHQ7 ("Concentration"), and PDQ 13 ("Drifting") were the most critical bridge symptoms connecting depression and cognition. The three symptoms of PHQ2 ("Sad Mood"), PHQ4 ("Fatigue"), and PDQ 13 ("Drifting") had the strongest negative correlations with LS. Gender showed no significant relationship with global network strength, edge weight distribution, or individual edge weights.This network analysis identified several central symptoms, including "Trouble getting started" , "Drifting", and "Remembering numbers". It also identified bridge symptoms such as "Anhedonia" , "Concentration" , and "Drifting" . These findings provide important evidence for the development of targeted interventions. Furthermore, measures such as improving emotional management, increasing rest periods, and providing psychological support may help alleviate fatigue and low mood, enhance attentional functioning, and ultimately improve life satisfaction among healthcare workers.
Keywords: Depression, cognitive impairment, life satisfaction, Network analysis, Healthcare workers
Received: 02 Mar 2025; Accepted: 20 Jun 2025.
Copyright: © 2025 Hou, Wang, Wu, Shen, Liu, Xu, Dong, Wang, Chen and Cui. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Jian Cui, Shandong Daizhuang Hospital, Jining, China
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