Adaptation and validation of the Chinese version of the modified Leiden index of depression sensitivity

Background: The revised Leiden index of depression sensitivity (LEIDS-RR) is commonly used worldwide to measure a marker of depression vulnerability termed cognitive reactivity (CR). However, the optimal cut-off scores for this scale and for the Chinese version of LEIDS-RR (LEIDS-RR-CV) are unknown.

Objectives: The main aims were to examine the psychometric properties of the LEIDS-RR and establish appropriate cut-off scores for the Chinese population.

Methods: Psychometric evaluation was performed for 330 healthy individuals and 330 depression patients in remission, by incorporating classical test theory and item response theory (IRT) methods. Receiver operating characteristic curve analysis was used to determine the optimal LEIDS-RR-CV cut-off.

Results: Cronbach's α, two-week test-retest reliability, and marginal reliability for the LEIDS-RR-CV were 0.92, 0.40, and 0.96, respectively. Confirmatory factor analysis validated the five-factor model, and the cut-off values to screen a population at risk of depression were 60 and 55 for the healthy individuals and patients, respectively. Patients had higher CR than healthy individuals (t = 6.10, p = 0.00), and this was positively correlated with the total CES-D Scale score (r = 0.52, p = 0.00), also confirmed by IRT analysis, indicating the discriminative and concurrent validity of the scale.

Limitations: The generalizability of these findings may be limited given the sampling method and the fact that all patients were recruited from a tertiary hospital.

Conclusions: The 26-item LEIDS-RR-CV is a reliable and valid instrument to assess CR in Chinese populations. It can be used for screening at-risk populations and in epidemiological studies to guide the development of tailored intervention strategies.