Association of burnout with depression in pharmacists: A network analysis

He, Min; Li, Kuiliang; Tan, Xuejiao; Zhang, Lei; Su, Chang; Luo, Keyong; Luo, Xi; Liu, Chang; Zhao, Mengxue; Zhan, Xiaowei; Wang, Qian; Cen, Jing; Lee, Jun; Weng, Bangbi; Feng, Zhanchun; Ren, Lei; Yang, Gangyi; Wang, Feifei

doi:10.3389/fpsyt.2023.1145606

Cited by 7 publications

(4 citation statements)

References 74 publications

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“…Community pharmacists were less aware of the available occupational health and wellbeing support services compared to hospital pharmacists. The report suggested that working under increasing workload and the resulting impact on mental health and wellbeing is becoming normalized,which is a considerable concern 29 because other studies reveal 30 , 31 a partial overlap exists between burnout and depressive symptoms mainly in the connection between emotional exhaustion and reduced professional efficacy and depressive symptoms.…”

Section: Discussionmentioning

confidence: 99%

Occupational burnout and job satisfaction among community pharmacists

Katsogiannis,

Manara,

Peletidi

et al. 2024

Exploratory Research in Clinical and Social Pharmacy

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Section: Discussionmentioning

confidence: 99%

Occupational burnout and job satisfaction among community pharmacists

Katsogiannis,

Manara,

Peletidi

et al. 2024

Exploratory Research in Clinical and Social Pharmacy

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“…Significantly, our study identified the significant relationship between the symptoms of “Emptiness” (SDS18) and life satisfaction in the high-neuroticism group. “Emptiness” (SDS18) reflects whether the individual thinks “My life is meaningless” [ 89 ]. Similar to the findings of the current study, Ritchie et al [ 90 ] investigated the relationship between neuroticism, meaninglessness, subjective well-being, and self-concept clarity and results showed that meaninglessness was positively associated with neuroticism while it was negatively related to life satisfaction.…”

Section: Discussionmentioning

confidence: 99%

Effects of Neuroticism on Differences in Symptom Structure of Life Satisfaction and Depression-Anxiety among College Students: A Network Analysis

Tang

Zhang

et al. 2023

Behavioral Sciences

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Object: Numerous studies show that depression and anxiety have an adverse effect on life satisfaction among college students. Moreover, neuroticism affects depression, anxiety, and life satisfaction. Comparing the low-neuroticism and high-neuroticism groups, the current study used network analysis to examine the relationship between depression, anxiety, and life satisfaction among college students. Methods: A sample consisted of 1233 college students from China who completed the Big Five Inventory-2 (BFI-2), Self-rating Anxiety Scale (SAS), Self-rating Depression Scale (SDS), and Satisfaction With Life Scale (SWLS).All students were divided into two groups according to levels of neuroticism. Depression-anxiety symptom networks and flow networks were formed. Results: “Insomnia” (SAS19) and “Sleep disturbance” (SDS4) are bridge symptoms of groups with varying neuroticism. In addition, compared to the group with low levels of neuroticism, the group with high levels of neuroticism showed more depression symptoms in bridge symptoms and greater global strength. Many depression-anxiety symptoms are negatively associated with life satisfaction, and “Emptiness” (SDS18) is an important symptom in the high-neuroticism group’s flow network. Conclusion: This study contributes to our understanding of the connection between depression, anxiety, neuroticism, and life satisfaction. In addition, the current study identified the essential symptoms to target in depression and anxiety intervention and life satisfaction enhancement among college students.

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“…Network structure among educational professions demonstrated that suicidal thoughts was only associated with other symptoms of depression, but not with those of burnout [ 41 ]. Another study showed that the symptoms of “feel down-hearted” and “no hope for future” were target interventions to relieve mental disorders of pharmacists [ 42 ]. However, it was uncertain whether these findings could be generalized to ICU nurses.…”

Section: Introductionmentioning

confidence: 99%

Relationship between depression and burnout among nurses in Intensive Care units at the late stage of COVID-19: a network analysis

Zhang,

Wu,

et al. 2024

BMC Nurs

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Background Mental health problems are critical and common in medical staff working in Intensive Care Units (ICU) even at the late stage of COVID-19, particularly for nurses. There is little research to explore the inner relationships between common syndromes, such as depression and burnout. Network analysis (NA) was a novel approach to quantified the correlations between mental variables from the perspective of mathematics. This study was to investigate the interactions between burnout and depression symptoms through NA among ICU nurses. Method A cross-sectional study with a total of 616 Chinese nurses in ICU were carried out by convenience sampling from December 19, 2022 to January19, 2023 via online survey. Burnout symptoms were measured by Maslach Burnout Inventory-General Survey (MBI-GS) (Chinese version), and depressive symptoms were assessed by the 9-item Patient Health Questionnaire (PHQ-9). NA was applied to build interactions between burnout and depression symptoms. We identified central and bridge symptoms by R package qgraph in the network model. R package bootnet was used to examined the stability of network structure. Results The prevalence of burnout and depressive symptoms were 48.2% and 64.1%, respectively. Within depression-burnout network, PHQ4(Fatigue)-MBI2(Used up) and PHQ4(Fatigue)-MBI5(Breakdown) showed stronger associations. MBI2(Used up) had the strongest expected influence central symptoms, followed by MBI4(Stressed) and MBI7 (Less enthusiastic). For bridge symptoms. PHQ4(Fatigue), MBI5(Breakdown) and MBI2(Used up) weighed highest. Both correlation stability coefficients of central and bridge symptoms in the network structure were 0.68, showing a high excellent level of stability. Conclusion The symptom of PHQ4(Fatigue) was the bridge to connect the emotion exhaustion and depression. Targeting this symptom will be effective to detect mental disorders and relieve mental syndromes of ICU nurses at the late stage of COVID-19 pandemic.

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Association of burnout with depression in pharmacists: A network analysis

Cited by 7 publications

References 74 publications

Occupational burnout and job satisfaction among community pharmacists

Occupational burnout and job satisfaction among community pharmacists

Effects of Neuroticism on Differences in Symptom Structure of Life Satisfaction and Depression-Anxiety among College Students: A Network Analysis

Relationship between depression and burnout among nurses in Intensive Care units at the late stage of COVID-19: a network analysis

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