Association of the dietary copper intake with all-cause and cardiovascular mortality: A prospective cohort study

Author:

Wang LeiORCID,Zhao Yun-Tao

Abstract

Background Copper (Cu) is a component that performs a crucial role in the normal function and development of the human body. Nonetheless, it is still largely unclear how Cu consumption in the diet relates to the risk for all-cause and cardiovascular disease (CVD) mortality. Methods Data from the National Health and Nutrition Examination Survey from 2001–2018 were used to conduct a prospective cohort study of individuals between the ages of 20 years and above. Regression coefficients and 95% confidence intervals for the link between dietary Cu consumption and all-cause and cardiovascular-related mortality were computed utilizing univariate and multivariate-adjusted Cox proportional hazards models. Results A total of 197.9 million non-institutionalized American citizens were represented by the NHANES’s 39,784 participants. The link between Cu in the diet and all-cause mortality was discovered to be non-linear in our restricted cubic spline regression models. When comparing the highest with the lowest quartile of Cu consumption in the diet, the weighted multivariate hazard ratios for all-cause mortality were 0.91 (0.83–0.99) for Q2, 0.88 (0.80–0.97) for Q3, and 0.86 (0.76–0.98) for Q4 (P for trend = 0.017). An identical trend was observed for cardiovascular mortality, but the association is not significant. Conclusion The most important discovery was that higher dietary Cu consumption was associated with a lower risk of all-cause mortality. This trend was also consistent with that of cardiovascular-related mortality, but the association is not significant.

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3