Abstract
BACKGROUND: Stroke is a prevalent neurological disorder globally, often resulting in post-stroke depression (PSD). The cardiometabolic index (CMI) is a novel marker for assessing cardiovascular and metabolic health, but its association with PSD has not been adequately investigated. This study aims to explore the relationship between CMI and PSD, providing a basis for clinical prevention and treatment. METHODS: We utilized data from the 2007-2018 National Health and Nutrition Examination Survey (NHANES) in this cross-sectional analysis. Multivariable logistic regression and restricted cubic spline (RCS) models were applied to assess the independent and linear relationships between CMI and PSD. To minimize confounding, propensity score matching (PSM) was employed. Subgroup analyses and interaction tests were also conducted to further explore potential effect modifications. RESULTS: A total of 1082 participants were included, with 18.67% diagnosed with PSD. Higher CMI levels were positively associated with PSD in stroke patients. In the fully adjusted model, the association between CMI and PSD remained significant (OR = 1.06; 95% CI 1.01-1.12). RCS analysis indicated a linear relationship between CMI and PSD (nonlinearity P = 0.334). Subgroup analyses showed that this association persisted across different groups (all P for trend > 0.05). After covariate balance through PSM, the positive association between CMI and PSD was further supported. CONCLUSION: This study demonstrates a positive association between CMI and PSD. CMI may serve as a useful tool for evaluating the risk of depressive symptom in stroke patients, potentially aiding in targeted clinical interventions.