A multi-center cross-sectional study of 1,427 clinical nurses in Guangdong Province, China, has used network analysis to map how change fatigue and work withdrawal behavior interconnect, identifying specific symptoms that could serve as intervention points. The research, conducted from April to July 2025 across six tertiary grade-A hospitals, was published in BMC Nursing and analyzed nurses recruited through convenience sampling using the General Information Scale, the Change Fatigue Scale and the Work Withdrawal Behavior Scale.
The nurses reported mean scores of 26.01 ± 8.59 on the Change Fatigue Scale and 20.68 ± 6.61 on the Work Withdrawal Behavior Scale, which the authors characterize as moderate levels of both constructs. Rather than treating change fatigue and work withdrawal as single blocks, the researchers broke each construct into its component items, or nodes, and computed the correlations between every pair. This approach, performed on the RStudio platform with basic analyses in SPSS 27.0, allowed the team to visualize which specific experiences were most tightly linked and to calculate centrality indices indicating which nodes exerted the strongest influence across the network.
The analysis showed that nurses’ change fatigue and work withdrawal behavior were mainly positively correlated. The strongest single connection, with an edge weight of 0.097, linked “weariness toward all organizational changes” with “frequent reluctance to go to work” — suggesting that the emotional exhaustion produced by repeated organizational change is most closely tied to the daily aversion to showing up. The node with the highest expected influence coefficient, and therefore the strongest overall effect on the network, was “being required to change too many things within the organization,” pointing to the sheer volume of simultaneous workplace change as a pivotal driver.
The study also identified bridging nodes — items that connect otherwise separate parts of the network and can transmit effects across it. These were “weariness toward all organizational changes,” “frequent reluctance to go to work,” “often discussing non-work topics with colleagues,” and “considering resignation.” The presence of resignation consideration among the bridge items highlights how fatigue-related disengagement may feed into concrete intentions to leave, while informal colleague conversation appears as a behavioral marker within the same connected structure.
As a cross-sectional survey, the study captures associations at a single point in time and cannot establish that change fatigue causes work withdrawal, only that the two are statistically intertwined in this sample of Guangdong hospital nurses. The authors note that the findings underscore the potential for targeted interventions aimed at reinforcing the key dimensions identified — particularly the burden of too many required organizational changes — to mitigate nurses’ change fatigue and, ultimately, reduce the negative impacts associated with work withdrawal behavior. Within a healthcare context of continuously changing systems and working environments, the network map offers a fine-grained alternative to broad scale comparisons, pinpointing which specific experiences in nursing teams sit at the critical pathways between fatigue and withdrawal.
Subject of Research: Network analysis of change fatigue and work withdrawal behavior among Chinese nurses
Article Title: Network analysis of the relationship between change fatigue and work withdrawal behavior among Chinese nurses
Article References: Zhong, Y., Yu, L., Xiao, K., Cao, H., Gao, Q., Li, S., Tang, L., & Wang, R. (2026). Network analysis of the relationship between change fatigue and work withdrawal behavior among Chinese nurses. BMC Nursing. https://doi.org/10.1186/s12912-026-05535-6
Image Credits: AI Generated
DOI: 10.1186/s12912-026-05535-6
Keywords: change fatigue, work withdrawal behavior, nurses, network analysis, cross-sectional study, China, tertiary hospitals, occupational health, centrality, nursing workforce, Network, analysis
News Source: Ophelia Keating. (October 29, 2026). Research report: Network analysis of the relationship between change fatigue and work withdrawal behavior among Chinese nurses. Scienmag.
