Dietary quality and adherence to dietary recommendations in Chinese patients with chronic kidney disease

A large proportion of NDD-CKD at our center showed low adherence to diet recommendations. Although consumption of processed foods was low, diet quality worsened with more severe CKD, with low intake of whole grains, dairy, and soybean.

Authors

Institutions

Publication Details

Journal
Frontiers in Nutrition
Published
2025-02-03
DOI
https://doi.org/10.3389/fnut.2025.1547181
Citations
3
Primary Topic
Nutritional Studies and Diet
Type
article
Field-Weighted Citation Impact
5.64

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dietary quality and adherence to dietary recommendations in Chinese patients with chronic kidney disease

Bing-jie Xiao, Lizhe Fu, Juan Jesús Carrero, Huifen Chen et al.
3 citations
Frontiers in Nutrition
Nutritional Studies and Diet
5.64
article

Dietary quality and adherence to dietary recommendations in Chinese patients with chronic kidney disease

Bing-jie Xiao, Lizhe Fu, Juan Jesús Carrero, Huifen Chen, Yifan Wu, Gaetano Marrone, Xusheng Liu, Fang Tang, Wenwei Ouyang
article en
3 citations

Abstract

A large proportion of NDD-CKD at our center showed low adherence to diet recommendations. Although consumption of processed foods was low, diet quality worsened with more severe CKD, with low intake of whole grains, dairy, and soybean.

Frontiers in NutritionVol. 12
Guangzhou University of Chinese Medicine (CN), Karolinska Institutet (SE)
National Key Research and Development Program of China
Openalex Percentile: Top 5%
Nutritional Studies and Diet
5.64
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.