| Literature DB >> 34527177 |
Jie Yu1, Haibin Liu2, Shuli He3, Pingping Li4, Chunxiao Ma5, Minglei Ma1, Yiwen Liu1, Lu Lv1, Fan Ping1, Huabing Zhang1, Wei Li1, Qi Sun1, Lingling Xu1, Yuxiu Li1.
Abstract
[This corrects the article DOI: 10.1155/2019/4935237.].Entities:
Year: 2021 PMID: 34527177 PMCID: PMC8437589 DOI: 10.1155/2021/9875056
Source DB: PubMed Journal: Oxid Med Cell Longev ISSN: 1942-0994 Impact factor: 6.543
Figure 1Path models of associations between iron intake, TNFα, and cellular aging markers. (a) The p value for regression (A) was 0.0182, for regression (B) was <0.001, and for direct effect was 0.0016. (b) The p value for regression (A) was 0.0457, for regression (B) was 0.1848, and for direct effect was 0.0429. As for the indirect effect, significance was achieved when zero was not included in confidence intervals and did not have a p value. Models were adjusted for age, hypertension status, BMI, and HbA1c, LnTG, HDL-C, and carbohydrate proportion.
Figure 2Path model of association between iron intake, mtDNAcn, and SOD. In Figure 5, the p value for regression (a) was 0.0153, for regression (b) was 0.4453, and for direct effect was 0.0157. As for the indirect effect, significance was achieved when zero was not included in confidence intervals and did not have a p value. Models were adjusted for age, hypertension status, BMI, and HbA1c, LnTG, HDL-C, and carbohydrate proportion.