Validity and reliability of the Chinese version of the disease-related fear scale in patients with epilepsy

Yin, Xiaoxiao; Niu, Shan; Yu, Qun; Xuan, Yejing; Chen, Lan; Feng, Xiuqin

doi:10.1016/j.yebeh.2023.109404

Cited by 1 publication

(3 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The validated Chinese version of the Disease-Related Fear Scale (D-RFS) was used to assess epilepsy-related fear ( 22 ). Our research team translated and validated the scale, originally developed by Shamsalinia et al ( 7 ).…”

Section: Methodsmentioning

confidence: 99%

“…Fear of social restrictions refers to the fear of a lack of or limited personal closeness with friends and family, as well as reduced social connections with others due to epilepsy (items 15, 16, 25, 26, and 27). The D-RFS had a Cronbach's alpha of α = 0.96 in this sample (22). Additionally, participant sociodemographic data (such as age, gender, marital status, education level, and income) and medical information (such as epilepsy type, time of diagnosis, treatment status, and frequency of seizures) were collected through self-report.…”

Section: Measurementsmentioning

confidence: 99%

“…In recent years, network analysis has garnered widespread attention and application across various domains of psychology, such as depression ( 18 ), anxiety ( 19 ), acute stress reactions ( 20 ), eating disorders symptoms ( 21 ), and more. Additionally, some items in the Chinese version of the D-RFS may not be suitable for their factor assignments ( 22 ), suggesting the possibility of a better structural model.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Fear of disease in patients with epilepsy – a network analysis

Yin,

Niu,

et al. 2024

Front. Neurol.

Self Cite

View full text Add to dashboard Cite

BackgroundDisease-related fear among patients with epilepsy has significantly impacted their quality of life. The Disease-Related Fear Scale (D-RFS), comprising three dimensions, serves as a relatively well-established tool for assessing fear in these patients. However, certain problems potentially exist within the D-RFS’s attribution of items, and its internal structure is still unclear. To establish an appropriate dimensional structure and gain deeper comprehension of its internal structure—particularly its core variables—is vital for developing more effective interventions aimed at alleviating disease-related fear among patients with epilepsy.MethodsThis study employed a cross-sectional survey involving 609 patients with epilepsy. All participants underwent assessment using the Chinese version of the D-RFS. We used exploratory network analysis to discover a new structure and network analysis to investigate the interrelationships among fear symptom domains. In addition to the regularized partial correlation network, we also estimated the node and bridge centrality index to identify the importance of each item within the network. Finally, it was applied to analyze the differences in network analysis outcomes among epilepsy patients with different seizure frequencies.ResultsThe research findings indicate that nodes within the network of disease-related fear symptoms are interconnected, and there are no isolated nodes. Nodes within groups 3 and 4 present the strongest centrality. Additionally, a tight interconnection exists among fear symptoms within each group. Moreover, the frequency of epileptic episodes does not significantly impact the network structure.ConclusionIn this study, a new 5-dimension structure was constructed for D-RFS, and the fear of disease in patients with epilepsy has been conceptualized through a network perspective. The goal is to identify potential targets for relevant interventions and gain insights for future research.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Measurementsmentioning

confidence: 99%