Evidence map›Paper›PMID 42620912›Full record

ArticleFrontiers in nutrition2026

Associations of six adiposity indices with incident back pain and the mediating role of the triglyceride-glucose index: prospective findings from the UK biobank.

Jingqian Li, Xuefei Han, Yunqian Li, Yiyin Gao, Jiacheng Ding

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

5 authors.

Jingqian LiThe Second Hospital of Jilin University, Changchun, China.
Xuefei HanThe Second Hospital of Jilin University, Changchun, China.
Yunqian LiThe Second Hospital of Jilin University, Changchun, China.
Yiyin GaoThe Second Hospital of Jilin University, Changchun, China.
Jiacheng DingThe Second Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Back pain is now recognized as a major contributor to global disability. While the correlation between BMI and back pain risk has been confirmed, there is a lack of research on the association between obesity indices that accurately reflect fat distribution and back pain risk. Additionally, no studies have investigated whether the association is modified by any genetic factor, and remains unclear about the meditating role of triglyceride glucose (TyG). Methods: This prospective study involved participants from the UK Biobank without back pain at baseline. Cox regressions were utilized to analyze the relationships between BMI, waist circumference, hip circumference, waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), and A Body Shape Index (ABSI) with back pain risk. The interactions between these obesity indices and genetic risk were also examined. Additionally, we investigated the meditating role of TyG for further understanding. Results: The multivariate Cox regression indicated that high levels of obesity indices were significantly correlated with back pain [BMI: hazard ratio (HR) = 1.45, 95% confidence interval (CI): 1.40-1.49, Conclusion: Obesity is significantly and positively related to back pain risk with TyG playing a partial mediating role, but no significant interaction was observed between obesity and genetic susceptibility. As a result, focusing on obesity and metabolic dysfunction in obese individuals is crucial for reducing the risk of back pain.

Indexed as

adiposityback painprospective observational studytriglyceride-glucoseUK biobank

Identifiers

PMID42620912
PMCPMC13485806

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.