Evidence map›Paper›PMID 27858905›Full record

ArticleMedicine2016

The feasibility of two new anthropometric indices to identify hypertension in rural China: A cross-sectional study.

Ye Chang, Xiaofan Guo, Liang Guo, Zhao Li, Yuan Li, Yingxian Sun

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 12% of its field
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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Body Roundness Index Mediates the Association Between Triglyceride-Glucose Index and Hypertension: A Cross-Sectional Study.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2026
    Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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 at 2 institutions in 1 country.

Ye ChangDepartment of Cardiology, The First Hospital of China Medical University, Shenyang, People's Republic of China.
Xiaofan Guo
Liang Guo
Zhao Li
Yuan Li
Yingxian Sun
First Hospital of China Medical University · CNChina Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, 2 new anthropometric indices, the A Body Shape Index (ABSI) and Body Roundness Index (BRI), have been developed. Our study was to compare the associations between different anthropometric indices, including ABSI, BRI, body mass index (BMI), waist circumference (WC) and waist-to-hip ratio (WHR), and hypertension in a rural population of northeast China.This cross-sectional study was conducted in the rural areas of northeast China from January 2012 to August 2013 using a multistage, stratified random cluster-sampling scheme. All eligible permanent residents aged ≥35 years (a total of 14,016 individuals) in each village were invited to participate in the study. A final sample size of 11,345 (5253 males and 6092 females) were included in this study.All the 5 anthropometric measures were positively correlated with hypertension. The prevalence of hypertension increased across quartiles for ABSI, BMI, BRI, WC, and WHR. Multivariable logistic regression analysis of the presence of hypertension for the highest quartile versus the lowest quartile of each anthropometric measure, showed that BRI had the largest values of ORs (OR: 3.49, 95% CI: 2.86-4.21 in men; OR: 3.06, 95% CI: 2.56-3.67 in women) and ABSI had the smallest ORs (OR: 1.30, 95% CI: 1.06-1.58 in men; OR: 1.19, 95% CI: 1.04-1.34 in women). BRI had the highest AROCs for hypertension (AROC: 0.65, 95% CI: 0.64-0.67 for men and AROC: 0.68, 95% CI: 0.67-0.70 for women), while ABSI had the lowest AROCs for hypertension (AROC: 0.60, 95% CI: 0.58-0.61 for men and AROC: 0.59, 95% CI: 0.58-0.61 for women).Our results showed that ABSI, BMI, BRI, WC, and WHR were all associated with hypertension. ABSI showed the weakest association with hypertension, while BRI showed potential for use as an alternative obesity measure in assessment of hypertension.

Indexed as

Body Weights and MeasuresChinaCross-Sectional StudiesFeasibility StudiesFemaleHumansHypertensionMaleMiddle AgedRural Health

Identifiers

PMID27858905
PMCPMC5591153
OpenAlexW2547699935

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.