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CORRECTION article

Front. Nutr., 31 July 2025

Sec. Nutritional Epidemiology

Volume 12 - 2025 | https://doi.org/10.3389/fnut.2025.1663658

Correction: Coffee consumption as a double-edged sword for serum lipid profile: findings from NHANES 2005–2020


Chaoyue Mo&#x;Chaoyue MoXintong Duan&#x;Xintong DuanJunlin PuJunlin PuXuan ZhouXuan ZhouYongfeng Zheng
Yongfeng Zheng*Shiyu Wang
Shiyu Wang*
  • Chengdu University of Traditional Chinese Medicine, Chengdu, China

A Correction on
Coffee consumption as a double-edged sword for serum lipid profile: findings from NHANES 2005–2020

by Mo, C., Duan, X., Pu, J., Zhou, X., Zheng, Y., and Wang, S. (2025). Front. Nutr. 12:1606188. doi: 10.3389/fnut.2025.1606188

In the published article, there was an error in Figure 2 as published. Figure 2 has been incorrectly replaced with Figure 3. The corrected Figure 2 and its caption appear below.

Figure 2
Four line graphs (A-D) show the relationship between coffee consumption and lipid levels. A: TC increases linearly with coffee consumption. B: TG peaks around 2.3 cups, then declines. C: HDL-C peaks around 3.1 cups, then declines. D: LDL-C increases with coffee consumption. Shaded areas represent confidence intervals. All graphs have significant p-values for overall and nonlinear trends.

Figure 2. Restricted cubic spline regression analysis of the association between coffee consumption and serum lipid profile in all participants. The solid red lines represent the estimated associations, and the pink shaded regions denote the corresponding 95% confidence intervals. (A) Coffee consumption and total cholesterol; (B) Coffee consumption and triglycerides; (C) Coffee consumption and high-density lipoprotein cholesterol; (D) Coffee consumption and low-density lipoprotein cholesterol.

Figure 3
Graphs showing the relationship between coffee consumption and lipid levels for males and females. Panel A depicts total cholesterol (TC), Panel B triglycerides (TG), Panel C HDL cholesterol (HDL-C), and Panel D LDL cholesterol (LDL-C). Each panel presents data for females in red and males in blue, along with significance values for overall and nonlinear trends. Dashed lines indicate specific coffee consumption values where changes occur.

Figure 3. Restricted cubic spline regression analysis of the association between coffee consumption and serum lipid profile stratified by gender. The solid lines represent the estimated associations, and the shaded regions denote the corresponding 95% confidence intervals. (A) Coffee consumption and total cholesterol; (B) Coffee consumption and triglycerides; (C) Coffee consumption and high-density lipoprotein cholesterol; (D) Coffee consumption and low-density lipoprotein cholesterol.

In the published article, there was an error in Figure 3 as published. Figure 3 has been incorrectly replaced with Supplementary Figure S1. The corrected Figure 3 and its caption appear below.

The original article has been updated.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: coffee consumption, serum lipid profile, dose-response relationship, National Health and Nutrition Examination Survey, population-based study

Citation: Mo C, Duan X, Pu J, Zhou X, Zheng Y and Wang S (2025) Correction: Coffee consumption as a double-edged sword for serum lipid profile: findings from NHANES 2005–2020. Front. Nutr. 12:1663658. doi: 10.3389/fnut.2025.1663658

Received: 10 July 2025; Accepted: 21 July 2025;
Published: 31 July 2025.

Edited and reviewed by: Malgorzata Ziarno, Warsaw University of Life Sciences, Poland

Copyright © 2025 Mo, Duan, Pu, Zhou, Zheng and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Shiyu Wang, NDk3MjE3NTA1QHFxLmNvbQ==; Yongfeng Zheng, enlmNzMwQDEyNi5jb20=

These authors have contributed equally to this work and share first authorship

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.