Association between cardiometabolic index (CMI) and suicidal ideation: The mediating role of depression and cardiovascular disease

BACKGROUND

Although existing evidence has shown a significant relationship between lipids and suicidal ideation, the relationship between Cardiometabolic index (CMI) and suicidal ideation remains unclear. This study aimed to explore the association between CMI and suicidal ideation. Furthermore, we explored whether several common CMI-related diseases mediate this association.

METHODS

This cross-sectional study analyzed data from 13,549 adults in the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018. Weighted multivariate regression models and restricted cubic spline (RCS) were used to examine the association between CMI and suicidal ideation. Subgroup and interaction analyses were conducted to assess the robustness of findings across different populations. Mediation analysis was performed to evaluate the potential mediating roles of depression, coronary artery disease (CVD), hypertension, and diabetes in this relationship.

RESULTS

In the fully adjusted model, each unit increase in CMI was associated with a 17 % increase in the risk of suicidal ideation. Compared to the lowest tertile, participants in the highest tertile had a 41 % increased likelihood of suicidal ideation (95 % CI: 1.05-1.91). The association between CMI and suicidal ideation was consistent across different populations (all P for interaction >0.05). Depression and CVD partially mediated this relationship, accounting for 20.4 % and 4.5 % of the total effect, respectively.

CONCLUSIONS

CMI is associated with an increased risk of suicidal ideation, with depression and CVD acting as partial mediators in this relationship. Reducing CMI with the goal of improving obesity and glucose and lipid disorders may be a key strategy to reduce suicidal ideation.

Association between cardiometabolic index and depression in a stroke population: a cross-sectional study of NHANES

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.

Association between periodontitis and cardiometabolic index (CMI): a study from NHANES 2009-2014

Cardiometabolic index (CMI) is a novel anthropometric metric that integrates lipid and adiposity characteristics. The correlation between periodontitis development and CMI is ambiguous. The objective of this study was to establish the association between CMI and periodontitis by analyzing data from the NHANES (National Health and Nutrition Examination Survey) database. A cross-sectional study was conducted on a cohort of 6188 people selected from the NHANES database, covering the period from 2009 to 2014. The study employed multivariate logistic regression to examine the independent correlation between CMI and periodontitis. Subgroup data were analyzed and interaction tests were conducted to assess the impact of variables on the correlation between CMI and periodontitis. The CMI index was significantly and positively associated with the presence of periodontitis (β = 0.03, 95%CI(0.01, 0.05), p = 0.0092). In addition, a U-shaped relationship was found between CMI index and periodontitis severity in an older American population (65 < = age < = 80, with a folding point of 1.44, p = 0.008). This study demonstrates a significant correlation between CMI and periodontitis, positioning CMI as a crucial indicator for assessing periodontal health. Future efforts should prioritize oral hygiene interventions for patients with elevated CMI levels to facilitate early intervention and enhance overall health outcomes.