ArticleHeliyon2025
Association of anthropometric and obesity indices with abnormal blood lipid levels in young and middle-aged adults.
Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Upper Arm to Upper Leg Length Ratio and Dyslipidemia: A Novel Application of a Fixed Skeletal Proportion Metric in a Nationally Representative U.S. Sample.International journal of environmental research and public health · 2026Article
- Supervised machine learning algorithms for the classification of obesity levels using anthropometric indices derived from bioelectrical impedance analysis.Scientific reports · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Obesity is a known risk factor for dyslipidemia. We aimed to evaluate the association between nine obesity indices and various types of abnormal lipid levels in the young and middle-aged. Methods: From July to November 2022, we distributed health survey questionnaires to the target population in the hospital and collected their biochemical and anthropometric data. Multivariate regression models and Receiver operating characteristic (ROC) curve analysis were used for data analyzing. Results: We collected a total of 1174 complete samples. Among the five blood lipid indexes tested in this study, TG (triglyceride) is most closely related to various body measurements ( Conclusion: Specific obesity-related anthropometric measurements, including WC, AVI, and WHR, show improved predictive accuracy in identifying abnormal lipid levels across diverse types. This study supports their effectiveness in early dyslipidemia screening among young and middle-aged individuals.
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Registered trials
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.