Evidence map›Paper›PMID 42614152›Full record

ArticleFrontiers in nutrition2026

Isocaloric substitution with beef and mutton and metabolically unhealthy obesity among adults in Ordos, Inner Mongolia: a cross-sectional analysis.

Yingjie Tian, Sha Du, Xinyan Wang, Yanling Wang, Huiqiu Zheng, Yanling Li, Hailin Li, Jingxia Fan, Jiahui Ding, Jiale Zhang and 3 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

13 authors.

Yingjie TianDepartment of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, China.
Sha DuDepartment of Health Statistics, School of Public Health, Inner Mongolia Medical University, Hohhot, China.
Xinyan WangHealth Big Data Research Center, Inner Mongolia Medical University, Hohhot, China.
Yanling WangHealth Big Data Research Center, Inner Mongolia Medical University, Hohhot, China.
Huiqiu ZhengHealth Big Data Research Center, Inner Mongolia Medical University, Hohhot, China.
Yanling LiDepartment of Health Statistics, School of Public Health, Inner Mongolia Medical University, Hohhot, China.
Hailin LiHealth Big Data Research Center, Inner Mongolia Medical University, Hohhot, China.
Jingxia FanDepartment of Health Statistics, School of Public Health, Inner Mongolia Medical University, Hohhot, China.
Jiahui DingDepartment of Health Statistics, School of Public Health, Inner Mongolia Medical University, Hohhot, China.
Jiale ZhangDepartment of Health Statistics, School of Public Health, Inner Mongolia Medical University, Hohhot, China.
Yifan LiuDepartment of Health Statistics, School of Public Health, Inner Mongolia Medical University, Hohhot, China.
Xin WangSchool of Public Health, Baotou Medical College, Baotou, Inner Mongolia, China.
Xuemei WangDepartment of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metabolic health differs substantially among adults with obesity, and dietary structure may contribute to this heterogeneity. In Ordos, Inner Mongolia, beef and mutton are common food sources within a livestock-oriented dietary setting rather than merely generic red-meat exposures. Methods: We analyzed 1,103 adults with obesity from the 2024 Ordos Region Residents' Health White Paper survey. Dietary intake was assessed using an 83-item region-specific semi-quantitative food-frequency questionnaire and expressed as the percentage of total energy intake from 16 mutually exclusive food groups. Associations with metabolically unhealthy obesity (MUO) were evaluated using multivariable logistic regression, restricted cubic splines, and all-components isocaloric substitution models. Results: Overall, 440 (39.9%) were classified as metabolically healthy obesity (MHO) and 663 (60.1%) as MUO. In fully adjusted models, beef and mutton intake was inversely associated with MUO (OR per 5%E = 0.821, 95% CI: 0.719-0.933; Conclusion: Among adults with obesity in Ordos, higher dietary energy from beef and mutton within the regional dietary structure was associated with lower odds of MUO in selected modeled substitution contrasts. These context-specific, cross-sectional findings require confirmation in prospective studies.

Indexed as

beef and muttonfood-group substitutionisocaloric substitutionmetabolically healthy obesitymetabolically unhealthy obesitynutritional epidemiology

Identifiers

PMID42614152
PMCPMC13481200

What OpenQuestion holds

Textmetadata
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.