Key result
Depression severity and triglycerides explain ~93% of cardiovascular risk variance in metabolic syndrome.
Why the study?
Are depression severity and metabolic syndrome biomarkers associated with cardiovascular disease risk estimates in patients with metabolic syndrome?
Cross-Sectional (n=101)
No
Are depression severity and metabolic syndrome biomarkers associated with cardiovascular disease risk estimates in patients with metabolic syndrome?
Effect estimate: R2 0.927
p-value: p=<0.001
Triglycerides and depression severity are key variables cross-sectionally associated with fatal and total SCORE risk estimates in patients with metabolic syndrome.
Findings should not yet change practice; leaves open causal links and need for prospective validation in metabolic syndrome.
PURPOSE: Triglycerides are considered an emerging risk factor for cardiovascular mortality. Recent evidence relating depression and metabolic syndrome (MetS) implicated triglyceride levels. We thus investigated interrelations of self-reported depression severity (Zung) and MetS-related biological measures with CVD risk estimates in MetS patients. METHODS: N = 101 patients fulfilling International Diabetes Federation criteria for MetS from a nationwide sampled treatment cohort for MetS with familial T2DM risk or manifest T2DM in a Ukrainian governmental health care system were participants. Both laboratory and non-laboratory measures were included. Recent European cardiological SCORE system CVD risk estimates were used as outcome variables. RESULTS: Following correlation matrix, we entered all variables into principal component analysis (PCA; 76.7% explained variance), followed by hierarchical regression and structural equation modeling (SEM). The PCA suggested a one-factor solution, where the latent variable showed highest loadings of SCORE risk estimates, triglycerides, depression severity, and pulse pressure. A comprehensive SEM was adjusted with 92.7% explained variance: overall CVD risk related to depression, pulse pressure, triglycerides, and fasting glucose. CONCLUSION: The findings in this MetS sample suggest that triglycerides and depression severity are the key variables among MetS biomarkers in cross-sectionally associating with the fatal and total SCORE risk estimates in MetS.
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Lemche et al. (2016) conducted a cross-sectional in Metabolic syndrome (n=101). Depression severity and triglycerides was evaluated on Overall cardiovascular disease risk (SCORE estimates) (R2 0.927, p=<0.001). Self-reported depression severity and serum triglycerides were significantly associated with overall cardiovascular disease risk in patients with metabolic syndrome, explaining 92.7% of the variance.
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