Evidence map›Paper›PMID 40497024›Full record

ArticleFrontiers in nutrition2025

Association of diet quality and quantity with the risk of sarcopenia based on the Chinese diet balance index 2022.

Xiao Yu, Mei Zhang, Yongjun Wang, Lianlong Yu, Changsheng Zhao

Abstract read
In one paragraph

Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xiao YuDepartment of Clinical Nutrition, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Mei ZhangDepartment of Medical Clinical Laboratory, The People's Hospital of Huaiyin Jinan, Jinan, China.
Yongjun WangDepartment of Clinical Nutrition, The First Affiliated Hospital of Shandong First Medical University, Shandong Provincial Qianfoshan Hospital, Jinan, China.
Lianlong YuHealth Management Institute, Shandong Center for Disease Control and Prevention, Jinan, China.
Changsheng ZhaoDepartment of Clinical Nutrition, The Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to analyze the dietary structure characteristics and the association between food intake and sarcopenia among older adults in China, based on the DBI-22 scoring criteria. This analysis was intended to provide guidance for improving dietary balances and nutritional management related to sarcopenia. Methods: A stratified random cluster sampling method was employed to select 1,478 elderly individuals aged 60 and above in Chinese. A questionnaire survey was conducted, which included the Sarcopenia-Five (SARF) scale and Food Frequency Questionnaires (FFQ). The China Dietary Balance Index 2022 (DBI-22) was utilized to assess dietary quality. Generalize Linear Model (GLM) and logistic regression analysis were applied to examine dietary factors influencing sarcopenia. Results: The issue of dietary imbalance among the elderly was found to be severe, with 52.11% of participants exhibiting deficient intake, 46.54% displaying excessive intake, and 59.78% demonstrating overall dietary imbalance (moderate-to-high levels). Screening conducted using the SARF scale revealed a sarcopenia rate of 24.82%. Excessive intake of cereal was identified as a risk factor for sarcopenia ( Conclusion: The dietary habits of older adults were problematic, with both insufficient and excessive food intake. Too much cereal posed a risk for sarcopenia, whereas more red meat and products, poultry and game served as a protective factor.

Indexed as

cerealDietary Balance Index 2022older adultspoultry and gamered meat and productssarcopenia

Identifiers

PMID40497024
PMCPMC12148864

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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.