Nutritional frailty and the incidence of depression and anxiety among middle-aged and older adults: A prospective cohort study

Nutritional frailty is an independent risk factor for incident depression, anxiety, and their comorbidity and adversely influences the progression of these conditions among middle-aged and older adults.

Authors

Institutions

Publication Details

Journal
Clinical Nutrition
Published
2025-05-03
DOI
https://doi.org/10.1016/j.clnu.2025.04.032
Citations
2
Primary Topic
Frailty in Older Adults
Type
article
Field-Weighted Citation Impact
2.45
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nutritional frailty and the incidence of depression and anxiety among middle-aged and older adults: A prospective cohort study

Yan Liu, Liangkai Chen, Yang Yang, Wei J. Chen et al.
2 citations
Clinical Nutrition
Frailty in Older Adults
2.45
article

Nutritional frailty and the incidence of depression and anxiety among middle-aged and older adults: A prospective cohort study

Yan Liu, Liangkai Chen, Yang Yang, Wei J. Chen, J Tong
article en
2 citations

Abstract

Nutritional frailty is an independent risk factor for incident depression, anxiety, and their comorbidity and adversely influences the progression of these conditions among middle-aged and older adults.

Clinical NutritionVol. 50
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking Union Medical College Hospital (CN), Karolinska Institutet (SE), Imperial College London (GB), Huazhong University of Science and Technology (CN)
Zero hunger
Openalex Percentile: Top 12%
Frailty in Older Adults
2.45
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.