Evidence map›Paper›PMID 41756629›Full record

ArticleFrontiers in nutrition2026

Association between dietary inflammation index and frailty among community medical staff.

Qinglian Lu, Ming Zong, Zhuo-Jun Xu, Shanshan Yu, Lang Liu, Yang Li, Yating Wu, Chunyan Zhao, Hongxia Li

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Article in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Qinglian Lu *Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Ming Zong *Department of Clinical Laboratory, Shanghai East Hospital, Tongji University, Shanghai, China.
Zhuo-Jun Xu *Neuroscience ICU (Stroke ICU), Shanghai East Hospital, Tongji University, Shanghai, China.
Shanshan YuDepartment of Clinical Laboratory, Shanghai East Hospital, Tongji University, Shanghai, China.
Lang LiuDepartment of Nursing, Shanghai East Hospital, Tongji University, Shanghai, China.
Yang LiDepartment of Nursing, Shanghai East Hospital, Tongji University, Shanghai, China.
Yating WuDepartment of Nursing, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Chunyan ZhaoDepartment of Nursing, Shanghai East Hospital, Tongji University, Shanghai, China.
Hongxia LiUnion Office, Shanghai East Hospital, Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the relationship between the Dietary Inflammation Index (DII) and frailty among community medical staff. Methods: A stratified cluster sampling method was used to select community healthcare staff from Pudong New Area, Shanghai, between March and September 2024. Demographic characteristics were collected using a general information questionnaire. Dietary nutrient intakes were obtained via 24-hour dietary recall, and DII was calculated. Frailty status was assessed using the Fried Frailty Phenotype Scale. Logistic regression was performed to analyze the correlation between DII and frailty, and a restricted cubic spline model was used to explore the dose-response relationship. Results: Among 377 healthcare staff, 23 (6.1%) were frail, and 227 (60.2%) were pre-frail. The DII scores ranged from -4.02 to 3.73. The frail group had significantly higher DII scores than the pre-frail and non-frail groups, with statistical significance in DII quartile grouping. Logistic regression analysis showed that for each unit increase in DII absolute value, the risk of frailty increased approximately 3.4 times after adjusting for covariates (95% CI: 1.439 ~ 8.198, Conclusion: Frailty among community healthcare medical staff is influenced by DII. Maintaining DII within a reasonable range may help prevent frailty.

Indexed as

cross-sectional studydietary inflammatory indexfrailtyhealthcare staffrestricted cubic spline

Identifiers

PMID41756629
PMCPMC12932202

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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.