ArticleBiological trace element research2024
High Copper Intake Is Associated with Decreased Likelihood of Abdominal Aortic Calcification in Middle-Aged and Older US Adults.
Article in Biological trace element research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 3 citations in OpenAlex.
- The Association of Copper Intake with Hearing Loss: a Cross-Sectional Study.Biological trace element research · 2026Article
- Comprehensive Review of Mechanisms and Translational Perspectives on Programmed Cell Death in Vascular Calcification.Biomolecules · 2025Review
- The effect of dietary micronutrient intake on abdominal aortic calcification: a study protocol for systematic review and meta-analysis.BMJ open · 2025Article
- Exploring Copper's role in stroke: progress and treatment approaches.Frontiers in pharmacology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The purpose of our study was primarily to investigate the relationship between dietary copper intake and abdominal aortic calcification (AAC) in US adults. We used data from the National Health and Nutrition Examination Survey (NHANES) 2013-2014 for our analysis. Multivariate linear regression analysis was used to explore the relationship between copper intake and AAC scores. We also used multivariate logistic regression analysis to explore the association between copper intake and the risk of AAC and severe AAC. We also examined whether there was a nonlinear relationship between copper intake and AAC scores and risk of AAC and severe AAC using restricted cubic splines (RCS) analysis. In addition, we also performed subgroup analysis and interaction tests. A total of 2897 participants were recruited in this study. The mean AAC score of the participants was 1.46 ± 0.11, and the prevalence of AAC and severe AAC among the participants was 28.53% and 7.68%, respectively. In the fully adjusted model, a negative association of copper intake with AAC scores (β = - 0.16, 95%CI: - 0.49 ~ 0.17) and the risk of AAC (OR = 0.85, 95% CI: 0.61-1.19) and severe AAC (OR = 0.82, 95% CI: 0.49-1.38) was observed. Compared to participants in the lowest tertile of copper intake, participants in the highest tertile of copper intake had a 0.37-unit decrease in mean AAC score (β = - 0.37, 95% CI: - 0.90-0.15) and a significant 38% and 22% decrease in risk of AAC (OR = 0.62, 95% CI: 0.41-0.95) and severe AAC (OR = 0.78, 95% CI: 0.34 - 1.77), respectively. The results of subgroup analyses and interaction tests suggested no significant differences in AAC scores and AAC risk between the different strata. In contrast, the risk of severe AAC was significantly dependent on the patients' diabetes status. Increased copper intake was associated with decreased AAC scores and decreased likelihood of AAC and severe AAC.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.