European journal of medical research · 2024
Correlation between lipid accumulation product and epigenetic age acceleration in American adults: a cross-sectional analysis using NHANES data.
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Li Qiqiang
Аннотация
BACKGROUND: The risks of obesity and epigenetic age acceleration (EAA) have drawn widespread attention. Lipid accumulation product (LAP) is a simple and reliable indicator of obesity; however, the relationship between LAP and EAA remains unclear.
METHODS: Data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2002 were used. The EAA was assessed using a self-administered questionnaire in the database. LAP was calculated based on triglycerides and waist circumference. The association between LAP and EAA was analyzed using logistic regression models, subgroup analysis, and smooth curve fitting.
RESULTS: A total of 1796 participants were included in the study, of whom 1055 had EAA. After adjusting for relevant covariates, participants with EAA generally had higher LAP levels than those without EAA (258.1 vs. 244.6). Logistic regression analysis showed that individuals in the highest LAP quartile (Q4) were more likely to have EAA than those in the lowest quartile (Q1) (OR = 1.77; 95% CI 1.31-2.39; P < 0.001). The area under the curve of the adjusted logistic regression analysis was 0.706.
CONCLUSION: This research indicates that elevated LAP levels are independently linked to an increased risk of EAA, and early intervention to reduce high LAP levels is necessary to mitigate the progression of EAA.
METHODS: Data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2002 were used. The EAA was assessed using a self-administered questionnaire in the database. LAP was calculated based on triglycerides and waist circumference. The association between LAP and EAA was analyzed using logistic regression models, subgroup analysis, and smooth curve fitting.
RESULTS: A total of 1796 participants were included in the study, of whom 1055 had EAA. After adjusting for relevant covariates, participants with EAA generally had higher LAP levels than those without EAA (258.1 vs. 244.6). Logistic regression analysis showed that individuals in the highest LAP quartile (Q4) were more likely to have EAA than those in the lowest quartile (Q1) (OR = 1.77; 95% CI 1.31-2.39; P < 0.001). The area under the curve of the adjusted logistic regression analysis was 0.706.
CONCLUSION: This research indicates that elevated LAP levels are independently linked to an increased risk of EAA, and early intervention to reduce high LAP levels is necessary to mitigate the progression of EAA.