Evidence map›Paper›PMID 39154165›Full record

ArticleLipids in health and disease2024

Association of body roundness index with diabetes and prediabetes in US adults from NHANES 2007-2018: a cross-sectional study.

Liting Qiu, Zixuan Xiao, Boyan Fan, Ling Li, Guixiang Sun

Abstract read
In one paragraph

Article in Lipids in health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

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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

43 citing papers in PubMed.

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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.

Liting QiuThe College of Traditional Chinese Medicine, Hunan University of Chinese Medicine, 300 Road, Yuelu District, Changsha, 410208, Hunan Province, P. R. China.
Zixuan XiaoThe College of Traditional Chinese Medicine, Hunan University of Chinese Medicine, 300 Road, Yuelu District, Changsha, 410208, Hunan Province, P. R. China.
Boyan FanThe College of Traditional Chinese Medicine, Hunan University of Chinese Medicine, 300 Road, Yuelu District, Changsha, 410208, Hunan Province, P. R. China.
Ling LiThe College of Traditional Chinese Medicine, Hunan University of Chinese Medicine, 300 Road, Yuelu District, Changsha, 410208, Hunan Province, P. R. China. liling1049@hnucm.edu.cn.
Guixiang SunThe College of Traditional Chinese Medicine, Hunan University of Chinese Medicine, 300 Road, Yuelu District, Changsha, 410208, Hunan Province, P. R. China. 84663423@qq.com.

Funding

Hunan University of Traditional Chinese Medicine collaborate Hunan Zhonghe Dahan Health Industry Operation and Management Foundation Focused Projects 020000202917Natural Science Foundation of Hunan Province 2024JJ5309
6 · The paper itself

Abstract

objectiveThe present study examined the ability of the body roundness index (BRI) to predict the incidence of diabetes and prediabetes among adults in the USA.

methodThe study enrolled 11,980 adults aged ≥ 20 years from the National Health and Nutrition Examination Survey (NHANES). Logistic regression served as the primary method for analyzing the relevant link between BRI and the incidence of diabetes and prediabetes, including univariate analysis, multivariate regression analysis, smooth curve fitting analysis, and subgroup analysis. What's more, receiver operating characteristic (ROC) analysis was applied to confirm the predictive values of BRI for diabetes and prediabetes.

resultsEach unit higher than BRI was associated with a 17% increased risk of diabetes and prediabetes after covariate adjustments (OR: 1.17, 95% CI: 1.07-1.27). Those with BRI in the high scores (Q4) possessed an increased likelihood of having diabetes and prediabetes than individuals in the reference group (OR: 1.83, 95% CI: 1.29-2.58). A smooth curve fitting analysis revealed a non-linear trend. The results across all population subgroups were uniform to those of the total population. The ROC curve indicated that the BRI was the best predictor of diabetes and prediabetes among other anthropometric indices.

conclusionsDiabetes and prediabetes occurrence rates and BRI have a positive and non-linear relationship in American adults. The BRI indices could function as predictive markers for diabetes and prediabetes.

Indexed as

Nutrition SurveysPrediabetic StateAdultAgedBody Mass IndexCross-Sectional StudiesDiabetes MellitusFemaleHumansLogistic ModelsMaleMiddle AgedRisk FactorsROC CurveUnited StatesBody roundness indexDiabetesNHANESPrediabetes

Identifiers

PMID39154165
PMCPMC11330595

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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.