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Record W4409131867 · doi:10.1186/s12888-025-06742-2

Unravelling the link between alexithymia and psychological distress in nurses: a multi-hospital cross-sectional study exploring the mediating roles of workplace conflict and emotional exhaustion

2025· article· en· W4409131867 on OpenAlexaboutno aff
Yuan Li, Jie Li, Chunfen Zhou, Hao Peng, Biru Luo, Yanling Hu, Jinbo Fang

Bibliographic record

VenueBMC Psychiatry · 2025
Typearticle
Languageen
FieldMedicine
TopicPsychosomatic Disorders and Their Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaPsychologyCross-sectional studyPsychological distressClinical psychologyDistressEmotional distressBurnoutAnxietyPsychiatryMedicine

Abstract

fetched live from OpenAlex

BACKGROUND: Nurses are particularly susceptible to the adverse psychological effects of alexithymia, a personality trait characterized by difficulties in identifying and describing emotions. However, the mechanisms linking alexithymia to psychological distress among nurses remain unclear. The present study aimed to unravel the link between alexithymia and psychological distress in nurses, and to explore the potential mediating roles of workplace conflict and emotional exhaustion. METHODS: A cross-sectional survey was conducted among 4088 nurses from 43 public hospitals in China. The participants completed a web-based questionnaire that comprised the Toronto Alexithymia Scale (TAS-20), the Interpersonal Conflict at Work Scale (ICAWS), the Emotional Exhaustion Scale (EES), and the Kessler Psychological Distress Scale (K6). The chain mediation model was evaluated using Mplus, with the bias-corrected bootstrap method. Moreover, a sensitivity analysis utilizing a structural equation modeling approach was performed to corroborate the findings. RESULTS: Among the 3977 nurses who returned valid questionnaires, participants reported mean scores of 53.95 ± 10.78 for alexithymia and 7.26 ± 5.75 for psychological distress, with 22.0% meeting the threshold for alexithymia and 16.9% exhibiting clinically significant psychological distress. The study revealed that alexithymia had a direct positive effect on psychological distress (β = 0.164, 95% CI [0.148-0.181]). Furthermore, workplace conflict (β = 0.036, 95% CI [0.031-0.042]) and emotional exhaustion (β = 0.118, 95% CI [0.108-0.128]) independently mediated the pathway linking alexithymia to psychological distress, and also operated sequentially in a chain mediation pathway (β = 0.010, 95% CI [0.008-0.012]). Sensitivity analyses confirmed the robustness of these findings. CONCLUSIONS: This study suggests that alexithymia not only directly affects psychological distress but also exerts chain mediation effects through workplace conflict and emotional exhaustion. The findings unravel the complex mechanisms underlying the alexithymia-psychological distress link, providing valuable insights to guide efforts in safeguarding nurses' mental health. By addressing alexithymia and cultivating a supportive organizational environment, managers can facilitate the build-up of emotional resources, ultimately enhancing the psychological well-being of nurses.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.407

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.058
GPT teacher head0.354
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2025
Admission routes1
Has abstractyes

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