Evidence map›Paper›PMID 42631125›Full record

ArticleFrontiers in nutrition2026

Association between the Chinese diet balance index 2022 and the risk of metabolic syndrome: a cross-sectional analysis in middle-aged and older adults.

Yitong Li, Xiaoting Lu, Yu Zeng, Hongshi Wu, Shaojun Huang, Yiqin Qi, Na Li, Fengyi He, Xiuhong Lin, Diaozhu Lin and 5 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Yitong Li *School of Public Health, Sun Yat-sen University, Guangzhou, China.
Xiaoting Lu *Department of Clinical Nutrition, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Yu Zeng *School of Public Health, Sun Yat-sen University, Guangzhou, China.
Hongshi WuDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Shaojun HuangDepartment of Clinical Nutrition, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Yiqin QiDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Na LiDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Fengyi HeDepartment of Clinical Nutrition, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Xiuhong LinDepartment of Clinical Nutrition, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Diaozhu LinDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Ping LiangDepartment of Clinical Nutrition, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Li YanDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Cheng WangDepartment of Clinical Nutrition, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Min XiaSchool of Public Health, Sun Yat-sen University, Guangzhou, China.
Chaogang ChenDepartment of Clinical Nutrition, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic syndrome (MetS) represents a major public health challenge, yet evidence regarding the relationship between diet quality, as evaluated by the Chinese diet balance index 2022 (DBI-22), and the risk of MetS remains limited. This cross-sectional study aimed to investigate the association between DBI-22 and MetS among middle-aged and older adults. 3,503 participants aged ≥ 45 years in Guangzhou, China, were included. Dietary intake was assessed using 3-day 24-h records, from which the DBI-22 indicators, including high bound score (HBS), low bound score (LBS), and diet quality distance (DQD), were categorized into two tiers. MetS was defined according to the Joint Interim Statement. Multivariable logistic regression was employed to estimate odds ratios (ORs) and 95% confidence intervals (CIs), and restricted cubic splines were used to examine nonlinear associations. Compared to suitable LBS, unsuitable LBS was associated with higher odds of MetS (OR = 1.28, 95% CI: 1.07-1.54;

Indexed as

Chinese diet balance index 2022dietary imbalancedietary inadequacydiet qualitymetabolic syndrome

Identifiers

PMID42631125
PMCPMC13495691

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.