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Objective: To explore the correlation between serum albumin and coronary heart disease (CHD) risk in adults over 45 years old.Methods: This cross-sectional study utilized the non-institutionalized US population from the National Health and Nutrition Examination Survey (NHANES 2011-2018) as the sample source. Multiple logistic regression was used to examine the association between serum albumin and CHD risk. Smooth curve fitting was performed to explore the potential nonlinear relationship. When the non-linear relationship was found, a recursive algorithm was used to calculate the inflection points, and a piecewise logistic regression model was constructed.Results: After adjusting for confounders, multiple logistic regression and smooth curve fitting indicated an inverse association between serum albumin and CHD risk [ OR=0.970, 95%CI= (0.948, 0.992)]. Subgroup analysis found this negative correlation was statistically significant in the population of females, over 60 years old, with hypertension and without diabetes.Conclusion: There is a correlation between serum albumin and CHD risk. Lower serum albumin levels are associated with higher CHD risk. |
