Evidence map›Paper›PMID 40332562›Full record

ArticleActa diabetologica2025

Relationships between atherogenic index of plasma and body mass index with the risk of type 2 diabetes mellitus: insights from CHARLS.

Genghang Chen, Shaonan Liu, Wenwei Ouyang, Lihong Yang, Yu Chen, Xinfeng Guo

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In one paragraph

Article in Acta diabetologica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

6 authors.

Genghang ChenGuangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China.ORCID http://orcid.org/0000-0001-9415-4120
Shaonan LiuGuangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China.
Wenwei OuyangGuangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China.
Lihong YangGuangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China.
Yu Chen *Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China. chenyu@gzucm.edu.cn.
Xinfeng Guo *Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangdong Provincial Academy of Chinese Medical Sciences, Guangzhou, 510120, China. guoxinfeng@gzucm.edu.cn.ORCID http://orcid.org/0000-0003-2699-9740

Funding

State Key Laboratory of Dampness Syndrome of Chinese Medicine Special Fund SZ2021ZZ08
6 · The paper itself

Abstract

backgroundThe complex relationship between obesity and dyslipidemia in type 2 diabetes mellitus (T2DM) remains an area of interest but is not fully understood. This study aimed to evaluate the intricate links between atherogenic index of plasma (AIP), body mass index (BMI), and T2DM risk.

methodsBased on data from the China Health and Retirement Longitudinal Study, this analysis comprised 6754 individuals aged 45 and over, free of T2DM in 2011. BMI and AIP were the exposures, with T2DM incidence as the primary focus. Logistic regression models generated odds ratios (ORs), and a thorough decomposition of BMI's impact on T2DM revealed natural indirect and direct effects. The study also examined the complex interactions and combined effects of these two exposures.

resultsBy the end of 2018, 972 individuals were diagnosed with T2DM. The AIP played a significant association in the relationship between BMI and T2DM, explaining 21.7% and 18.9% of the association in different BMI ranges. A significant additive effect was observed between BMI and AIP, with a relative excess risk due to interaction of 0.62. BMI ≥ 24.0 kg/m

conclusionExposure to overweight/obesity or high AIP raises T2DM risk among Chinese ≥ 45 years, AIP partly mediates BMI-T2DM link.

Indexed as

AtherosclerosisBody Mass IndexDiabetes Mellitus, Type 2AgedChinaFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedObesityRisk FactorsAtherogenic index of plasmaBody mass indexCHARLSMediating effectType 2 diabetes mellitus

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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.