Evidence map›Paper›PMID 40224530›Full record

ArticleJournal of diabetes and metabolic disorders2025

A Body Shape Index (ABSI) as a risk factor for all-cause mortality among US adults with type 2 diabetes: evidence from the NHANES 1999-2018.

Feng Chen, Xi Xie, Sijia Xia, Weilin Liu, Jingfang Zhu, Qing Xiang, Rui Li, Wenju Wang, Tao Jiang, Mengquan Tan

Abstract read
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Article in Journal of diabetes and metabolic disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Feng Chen *College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122 Fujian China.
Xi Xie *College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122 Fujian China.
Sijia Xia *College of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122 Fujian China.
Weilin LiuThe Institute of Rehabilitation Industry, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122 Fujian China.
Jingfang ZhuThe Institute of Rehabilitation Industry, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122 Fujian China.
Qing XiangThe Institute of Rehabilitation Industry, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122 Fujian China.
Rui LiCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122 Fujian China.
Wenju WangCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122 Fujian China.
Tao JiangCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122 Fujian China.
Mengquan TanCollege of Rehabilitation Medicine, Fujian University of Traditional Chinese Medicine, Fuzhou, 350122 Fujian China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: A Body Shape Index (ABSI) serves as a potential indicator of fat distribution, offering a more reliable association with all-cause mortality compared to overall adiposity. The present cohort study aims to explore the relationship between ABSI and all-cause mortality in US adults with Type 2 Diabetes (T2D). Methods: For this cohort study, we extracted information on 5,461 US adults with T2D from the National Health and Nutrition Examination Survey (NHANES) and the NHANES Linked Mortality File. Trends in ABSI from 1999 to 2018 were calculated and analyzed using partial Mann-Kendall tests. To assess the relationship between ABSI and all-cause mortality, as well as the robustness of the association results, we employed weighted restricted cubic splines (RCS), weighted Cox proportional hazards models, sensitivity analyses, and stratified analyses. Additionally, we conducted time-dependent receiver operating characteristic (ROC) curve analysis to evaluate ABSI's predictive capability for all-cause mortality over 3, 5, and 10 years. Results: Among US adults with Type 2 Diabetes (T2D), the mean ABSI gradually increased from 0.08333 to 0.08444 between 1999 and 2018. Following a median follow-up period of 90 months, 1,355 deaths (24.8% of the participants) occurred due to all causes. A left J-shaped association was observed between ABSI and all-cause mortality, with a 39% increased risk among US adults with T2D who had an ABSI below 0.08105 after full adjustment. Conclusion: Our research has demonstrated a significant association between an elevated ABSI and the risk of all-cause mortality among US adults with T2D. These findings support the potential use of ABSI as a noninvasive tool to estimate mortality risk among US adults with T2D. Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-025-01570-3.

Indexed as

AnthropometryBody compositionDiabetes mellitusObesityRisk factors

Identifiers

PMID40224530
PMCPMC11981978

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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.