Evidence map›Paper›PMID 29581555›Full record

ArticleJournal of human hypertension2018

Comparison of various anthropometric indices for the identification of a predictor of incident hypertension: the ARIRANG study.

J R Choi, S V Ahn, J Y Kim, S B Koh, E H Choi, G Y Lee, Y E Jang

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of human hypertension, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
4.8field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it, 35 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  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

7 authors at 2 institutions in 1 country.

J R ChoiInstitute of Genomic Cohort, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.
S V AhnDepartment of Preventive Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.
J Y KimDepartment of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.
S B KohInstitute of Genomic Cohort, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea. kohhj@yonsei.ac.kr.
E H ChoiInstitute of Lifestyle Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.
G Y LeeDepartment of Dental Hygiene, Yonsei University Graduate School, Seoul, Republic of Korea.
Y E JangDepartment of Dental Hygiene, Yonsei University Graduate School, Seoul, Republic of Korea.
Yonsei University · KRYonsei University Dental Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We compared the predictive capability of weight, waist circumference (WC), waist-to-height ratio (WHtR), waist-to-hip ratio (WHR), body mass index (BMI), body roundness index (BRI), and a body shape index (ABSI) to identify incident hypertension, and to determine whether any of these indices may be used as a better single predictor of incident hypertension. A total of 1718 participants aged 39-72 years were collected  in a longitudinal study. Logistic regression models were used to evaluate various anthropometric indices as significant predictors of hypertension. During 2.8 years of follow-up, 185 new cases of hypertension (10.8%) were reported. The BRI and ABSI were significantly higher in the participants who had developed hypertension than in those who had not (4.15 ± 1.01 vs. 3.57 ± 1.03, 0.80 ± 0.04 vs. 0.78 ± 0.05; respectively, p < 0.001). After adjusting for confounding variables, logistic regression analysis indicated that participants within the highest quartile of WC and WHtR were 4.79 and 4.51 times more likely to have hypertension than those within the lowest quartile (OR 4.79, 95% CI 2.49-9.20 vs. OR 4.51, 95% CI 2.41-8.43, respectively, p < 0.0001); in contrast, no such correlation was found for BMI, WHR, BRI, and ABSI. WC (AUC: 0.672) showed a more powerful predictive ability for hypertension (p < 0.0001) than BMI (AUC: 0.623), and an equal predictive power for hypertension as WHtR (AUC: 0.662) and BRI (AUC: 0.662) in the general population. We concluded that WC and/or WHtR but not BMI, showed superior prediction capability compared to WHR, BRI, and ABSI, for determining the incidence of hypertension in a community-based prospective study.

Indexed as

AnthropometryFemaleHumansHypertensionIncidenceMaleMiddle AgedOdds RatioProspective StudiesRepublic of Korea

Identifiers

PMID29581555
OpenAlexW2795090078

What OpenQuestion holds

Textmetadata
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.