Related Experiment Video
Updated: Jul 5, 2025

Highlighting and Reducing the Impact of Negative Aging Stereotypes During Older Adults' Cognitive Testing
Published on: January 24, 2020
The impact of patients' hostile attribution bias on aggression in doctor-patient interactions
Jie Liu1, Hong Zheng2, Lu Lu1
1School of Psychology, Shanghai Normal University, Shanghai, 200234, China.
Background:
Doctor-patient conflict is trending in social attention research. However, the existing literature rarely explores whether a patient's hostile attribution bias (HAB) in the doctor-patient interaction affects the aggression level against doctors.
Objective:
This study aimed to explore the relationship and mechanism between different types of HAB and aggression in patients.
Method:
In Study 1, 80 patients completed the word sentence association paradigm for hostility (WSAP-Hostility), and their explicit and implicit aggression levels were measured using the hot sauce paradigm and the single-category implicit association test (SC-IAT), respectively. In Study 2, 63 patients were randomly divided into an experimental (rejection) and a control group. Their state hostile attribution bias (SHAB) was activated through social rejection materials. They completed the SHAB questionnaire and anger expression inventory, and their explicit and implicit aggression levels were measured as in Study 1.
Results:
In both studies, results indicated that patients' trait and state HAB were significantly related to explicit aggression but not implicit aggression. Hostile interpretation positively predicted explicit aggression, whereas benign interpretation had a negative predictive effect on explicit aggression. Patients' anger played a mediating role between SHAB and explicit aggression.
Conclusions:
These findings suggest that patients' HAB affects explicit aggression toward doctors and anger plays a mediating role.
Related Concept Videos
Fundamental Attribution Error
Aggression
Attribution Theory
Obedience
Stereotype Content Model
Confirmation Biases

