Evidence map›Paper›PMID 30462805›Full record

ArticleArchives of endocrinology and metabolism2018

ABSI is a poor predictor of insulin resistance in Chinese adults and elderly without diabetes.

Kai Wu, Sen He, Yi Zheng, Xiaoping Chen

Abstract read
In one paragraph

Article in Archives of endocrinology and metabolism, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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  8. Identification of the Best Anthropometric Index for Predicting the 10-Year Cardiovascular Disease in Southwest China: A Large Single-Center, Cross-Sectional Study.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2022
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  15. A body shape index in a small sample of Saudi adults with type 2 diabetes.Journal of family medicine and primary care · 2019
    Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

4 authors.

Kai WuDepartment of Cardiovascular Medicine, West China Hospital, Sichuan University, Chengdu, China.
Sen HeDepartment of Cardiovascular Medicine, West China Hospital, Sichuan University, Chengdu, China.
Yi ZhengDepartment of Cardiovascular Medicine, West China Hospital, Sichuan University, Chengdu, China.
Xiaoping ChenDepartment of Cardiovascular Medicine, West China Hospital, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveRecently, a new obesity index (A Body Shape Index, ABSI) based on waist circumference (WC) was developed, and high ABSI corresponds to a more central concentration of body volume. It is well known that central obesity is closely linked with insulin resistance (IR). Therefore, our study aimed to examine the discriminatory power of ABSI for IR in Chinese adults and elderly without diabetes. SUBJECTS AND

methodsIn 2007, a cross-sectional study was made. In this study, 570 individuals without diabetes were available for analysis (male: 56.1%, mean age: 62.3 ± 6.5 years). Insulin resistance was assessed by homeostasis model assessment (HOMA-IR). Areas under the receiver operating characteristic (ROC) curves were determined to identify variables/models that could predict insulin resistance.

resultsABSI was associated with IR, the cut-off points was 0.0785 m11/6kg-2/3 to identifying IR and the area under the ROC (AUC) curve was 0.618 (95%CI: 0.561-0.675), which was not better than body mass index BMI (AUC = 0.753; 95%CI: 0.706-0.801), WC (AUC = 0.749; 95%CI: 0.700-0.797), and fasting plasma glucose (FPG, AUC = 0.752; 95%CI: 0.705-0.799). Furthermore, combination with ABSI could improve the discriminatory power of other variables for IR. The AUC curve increased from 0.753 to 0.771for BMI, 0.749 to 0.754 for WC, 0.752 to 0.769 for FPG, respectively.

conclusionsABSI is associated with IR in the general Chinese adults and elderly without diabetes, but the discriminatory power for IR is poor. It is recommended that ABSI be used in combination with other variables.

Indexed as

Body Mass IndexAgedAsian PeopleBlood GlucoseBody SizeChinaCross-Sectional StudiesFemaleHomeostasisHumansInsulin ResistanceMaleMiddle AgedReference StandardsReference ValuesRisk FactorsBlood Glucose

Identifiers

PMID30462805
PMCPMC10118652

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