Feng Lin-Sen, She Si-Rong, Zhang Yuan-Yuan, Xie Jia-Qi, Dong Zheng-Jiao, Tang Ai, Li Yin-Zhu, Wu Xiao-Qian, Yang Qing, Wang Hao-Yu, Wang San-Bin
The Sixth Affiliated Hospital, Kunming Medical University, Yuxi, China.
School of General Practitioners, Kunming Medical University, Yuxi, China.
Insights Imaging. 2025 Jun 27;16(1):140. doi: 10.1186/s13244-025-02018-1.
Fear of medical imaging radiation (FOMIR) may influence disease screening willingness; however, no validated tool currently exists to assess FOMIR. This study aimed to develop and validate the Fear of Medical Imaging Radiation Scale (FOMIRS) and explore its psychological mechanisms.
Based on classical test theory, the FOMIRS was developed through semi-structured interviews, grounded theory, and Delphi consultation. A cross-sectional survey with 1509 participants was conducted in Yunnan Province from September to December 2024. Psychometric properties were evaluated using construct validity, convergent validity, discriminant validity, criterion-related validity, content validity, and internal consistency. ROC curve analysis was used to determine the critical thresholds. Logistic regression analysis, network analysis, and structural equation modeling were employed to examine the relationships between the FOMIRS and related variables.
The FOMIRS consisted of 18 items organized into a two-dimensional structure. It demonstrated good model fit (Goodness-of-fit index = 0.909, Comparative fit index = 0.949), convergent validity (AVE > 0.45, CR > 0.80), discriminant validity (HTMT = 0.574), criterion-related validity (γ = 0.441), and content validity (S-CVI = 0.889). The FOMIRS also showed excellent internal consistency (Cronbach's α = 0.926 and McDonald's ω = 0.935). Cost-induced refusal of imaging examinations, cancer screening willingness, online learning, imaging radiation cognition, and fear of cancer were identified as influencing factors of FOMIR (p < 0.05). FOMIR serves as a core node in the network, and imaging radiation cognition may affect cancer screening willingness through this mechanism (p < 0.05).
FOMIRS accurately measures individual FOMIR levels. It captures the psychological characteristics and behavioral tendencies associated with FOMIR and indicates potential mechanisms.
We developed the Fear of Medical Imaging Radiation Scale (FOMIRS), a psychometric tool measuring individuals' fear of medical imaging radiation (FOMIR), demonstrating good reliability, validity, and practical application potential.
Evaluating individuals' FOMIR improves compliance with imaging exams and reduces related cognitive biases. FOMIRS is a reliable and valid tool for measuring FOMIR levels, capturing psychological and behavioral traits, and revealing interactions with external features. FOMIR is a complex phenomenon involving psychological traits, behavioral tendencies, and cognitive biases that affect people's willingness to undergo cancer screening.
对医学影像辐射的恐惧（FOMIR）可能会影响疾病筛查意愿；然而，目前尚无经过验证的工具来评估FOMIR。本研究旨在开发并验证医学影像辐射恐惧量表（FOMIRS），并探索其心理机制。
基于经典测试理论，通过半结构化访谈、扎根理论和德尔菲咨询法开发了FOMIRS。2024年9月至12月在云南省对1509名参与者进行了横断面调查。使用结构效度、收敛效度、区分效度、效标关联效度、内容效度和内部一致性来评估心理测量学特性。采用ROC曲线分析确定临界阈值。运用逻辑回归分析、网络分析和结构方程模型来检验FOMIRS与相关变量之间的关系。
FOMIRS由18个项目组成，呈二维结构。它显示出良好的模型拟合度（拟合优度指数 = 0.909，比较拟合指数 = 0.949）、收敛效度（AVE > 0.45，CR > 0.80）、区分效度（HTMT = 0.574）、效标关联效度（γ = 0.441）和内容效度（S-CVI = 0.889）。FOMIRS还表现出出色的内部一致性（Cronbach's α = 0.926，McDonald's ω = 0.935）。成本导致的影像检查拒绝、癌症筛查意愿、在线学习、影像辐射认知和对癌症的恐惧被确定为FOMIR的影响因素（p < 0.05）。FOMIR在网络中作为核心节点，影像辐射认知可能通过该机制影响癌症筛查意愿（p < 0.05）。
FOMIRS准确测量个体的FOMIR水平。它捕捉了与FOMIR相关的心理特征和行为倾向，并揭示了潜在机制。
我们开发了医学影像辐射恐惧量表（FOMIRS），这是一种测量个体对医学影像辐射恐惧（FOMIR）的心理测量工具，具有良好的信度、效度和实际应用潜力。
评估个体的FOMIR可提高对影像检查的依从性并减少相关认知偏差。FOMIRS是一种可靠且有效的工具，用于测量FOMIR水平，捕捉心理和行为特征，并揭示与外部特征的相互作用。FOMIR是一种复杂的现象，涉及心理特征、行为倾向和认知偏差，会影响人们接受癌症筛查的意愿。
