The negative association between sodium-driven nutrient pattern and telomere length: the chain mediating role of diastolic pressure and waist circumference

Abstract

BackgroundNumerous single nutrients have been suggested to be linked with leukocyte telomere length (LTL). However, data on nutrient patterns (NPs), particularly in Chinese population, are scarce. This study aimed to examine the relationship between nutrient-based dietary patterns and LTL, and the potential role of metabolic factors.MethodsDietary data was obtained via 24-hour food recalls, and principal component analysis (PCA) was used to identify NPs. LTL was assessed using a real-time PCR assay. Multiple linear regression was conducted to determine the association between NPs and LTL. The potential role of metabolism among them was analyzed using mediation models.ResultsA total of 779 individuals from northern China were included in this cross-sectional analysis. Five main nutrient patterns were identified. Adjusted linear regression showed that the “high sodium” pattern was inversely associated with LTL (B=-0.481(-0.549, -0.413), P < 0.05). The “high vitamin E-fat” pattern exhibited a positive correlation (B = 0.099(0.029, 0.170), P < 0.05), whereas the “high vitamin A-vitamin B2” pattern was negatively correlated with LTL (B=-0.120(-0.183, -0.057), P < 0.05), respectively. No significant associations were observed for the remaining nutrient patterns. The mediation model demonstrated that diastolic blood pressure and waist circumference could individually and collectively mediate the negative impact of the “high sodium” pattern on LTL (BDBP=-0.0173(-0.0333, -0.0041), BWC=-0.0075(-0.0186, -0.0004), Bjoint=-0.0033 (-0.0072, -0.0006), all P < 0.05). Moreover, glycosylated hemoglobin and non-high-density lipoprotein cholesterol mediate the relationship between the “high vitamin E-fat” pattern and LTL (BHbA1c=0.0170(0.0010,0.0347), Bnon-HDL-C= 0.0335 (0.0067, 0.0626), all P < 0.05), respectively.ConclusionsThe “high sodium” and “high vitamin E-fat” nutrient patterns demonstrated negative and positive associations with LTL and metabolic indicators may play complex mediating roles in these relationships.