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From psychological resilience to work engagement: a chain mediation of cognitive reappraisal and self-efficacy in nurses

unknownby Bing WuAugust 3, 2026 28 min read
psychological resilience work engagement cognitive reappraisal self-efficacy nursing chain mediation occupational health healthcare workforce china

Editorial summary. This is our text summary of an article published by frontiers-orgpsych. Charts, figures, and the author’s full voice are at the original — read it there .

Editorial verdict

Methodologically adequate but structurally limited — the chain mediation finding is statistically sound and the indirect effect size (65.17%) is notable, but the single-site, all-female, cross-sectional design prevents any causal inference, and the conceptual overlap among constructs likely inflates the reported correlations.

Executive summary

This study investigates the mechanisms through which psychological resilience influences work engagement among nurses in a Chinese tertiary hospital, with cognitive reappraisal and general self-efficacy proposed as sequential mediators. The authors argue that resilience does not directly drive engagement but operates primarily through a resource-generation cascade: resilient nurses employ cognitive reappraisal more readily, which builds general self-efficacy, which in turn sustains work engagement. Using a cross-sectional survey of 424 female nurses at a single hospital in Shenyang, China, the study employed Hayes' PROCESS macro (Model 6) with 5,000-sample bootstrapping to test the chain mediation model. Key findings indicate that the total indirect effect (β = 0.434) accounted for 65.17% of the total effect (β = 0.666), with general self-efficacy emerging as the stronger independent mediator (indirect effect = 0.226) compared to cognitive reappraisal (indirect effect = 0.112), and the sequential chain contributing an additional 13.66%. The authors ground their model in Conservation of Resources theory and social cognitive theory. Limitations include the cross-sectional design, single-site homogeneous sample, reliance on self-report measures, and acknowledged conceptual overlap among constructs.

researchRelevance: 6/10Asia-Pacific

Key insights

  • 1Approximately 65% of the association between psychological resilience and work engagement among nurses was transmitted indirectly through cognitive reappraisal and general self-efficacy, with less than 35% operating as a direct effect.
  • 2General self-efficacy functioned as a stronger independent mediator (indirect effect = 0.226, 33.93% of total effect) than cognitive reappraisal alone (indirect effect = 0.112, 16.82%), suggesting competence beliefs play a more proximal role in sustaining engagement.
  • 3The sequential chain 'psychological resilience → cognitive reappraisal → general self-efficacy → work engagement' was statistically significant (indirect effect = 0.097, 95% CI: 0.061–0.138), supporting the theoretical premise that situational emotion regulation strategies can consolidate into stable motivational resources over time.

Practical takeaways

  • The predominance of indirect effects in the model implies that programs targeting work engagement in nursing populations may derive greater measurable impact from addressing downstream psychological mechanisms — specifically emotion regulation skills and competence beliefs — rather than resilience alone.
  • The sequential mediation pathway suggests a modular intervention logic where cognitive reappraisal training precedes mastery-experience-based self-efficacy development, though this temporal ordering remains untested experimentally given the study's cross-sectional design.

Frameworks mentioned

Conservation of Resources (COR) Theory

Hobfoll's theoretical framework positing that individuals are motivated to acquire, retain, and protect resources, and that those with greater resources are better positioned to generate additional ones under stress.

Social Cognitive Theory

Bandura's framework emphasizing that self-efficacy beliefs are shaped by mastery experiences, vicarious learning, social persuasion, and physiological states, and that these beliefs regulate motivation and behavior.

References

  1. Journal of Traumatic Stress (2007).Psychometric analysis and refinement of the Connor-Davidson Resilience Scale (CD-RISC): validation of a 10-item measure of resilience.
  2. Journal of Personality and Social Psychology (2003).Individual differences in two emotion regulation processes: implications for affect, relationships, and well-being.
  3. Educational and Psychological Measurement (2006).The measurement of work engagement with a short questionnaire: a cross-national study.
  4. Journal of Happiness Studies (2002).The measurement of engagement and burnout: a two sample confirmatory factor analytic approach.
  5. Applied Psychology: An International Review (2001).The influence of culture, community, and the nested-self in the stress process: advancing conservation of resources theory.
  6. Advances in Behaviour Research and Therapy (1978).Self-efficacy: toward a unifying theory of behavioral change.
  7. Measures in Health Psychology: A User's Portfolio (1995).Generalized self-efficacy scale.
  8. Journal of Personality and Social Psychology (1998).Antecedent- and response-focused emotion regulation: divergent consequences for experience, expression, and physiology.
  9. Current Directions in Psychological Science (2000).Stress, positive emotion, and coping.
  10. International Journal of Stress Management (2007).The role of personal resources in the job demands-resources model.
  11. Psychiatry and Clinical Neurosciences (2010).Psychometric properties of the 10-item Connor-Davidson resilience scale in Chinese earthquake victims.
  12. Child Development (2000).The construct of resilience: a critical evaluation and guidelines for future work.

Source & Provenance

Verified
Publisher / Source

frontiers-orgpsych

Author

Bing Wu

Publication Date

August 3, 2026

Article Type

Research Study

Geography

Asia-Pacific

Content Type
Unknown Source Type
Original Source

Original source metadata is preserved. AI analysis is generated separately.

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