Evidence map›Paper›PMID 36974365›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2023

Association of adiposity indices with prehypertension among Chinese adults: A cross-sectional study.

Mengyuan Xiao, Chaolei Chen, Jiabin Wang, Anping Cai, Dan Zhou, Guangyan Liu, Yingqing Feng

Erratum issuedOpen access · diamondAbstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Mengyuan XiaoDepartment of Cardiovascular Medicine, the First Affiliated Hospital of Jinan University, Guangzhou, China.
Chaolei ChenDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Jiabin WangDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Anping CaiDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Dan ZhouDepartment of Cardiology, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Guangyan LiuGerontology Center, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China.
Yingqing FengDepartment of Cardiovascular Medicine, the First Affiliated Hospital of Jinan University, Guangzhou, China.
Guangdong Provincial People's Hospital · CNAffiliated Hospital of Guangdong Medical College Hospital · CNFirst Affiliated Hospital of Jinan University · CNGuangdong Academy of Medical Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The association of adiposity indices with prehypertension remains unclear in the Chinese non-hypertensive population. This study aimed to compare the association of adiposity indices, including waist circumference (WC), waist-to-height ratio, body roundness index (BRI), a body shape index (ABSI), and conicity index (CI), and prehypertension in the Chinese population. We recruited 61 475 participants from a population-based screening project in Guangdong province, China. Multiple logistic regression analyses were performed to detect the association between the six adiposity indices and prehypertension. Receiver operator characteristic curve (ROC) analysis was used to evaluate the predictive values of adiposity indices to prehypertension. The individuals were divided into two categories by blood pressure (BP) levels: normotension (<120/80 mmHg) and prehypertension (120-139/80-89 mmHg). A total of 33 233 people had prehypertension, with a prevalence of 54.04% and 42% males. Both logistics regression models presented a positive association between each adiposity index and prehypertension (p < .05), except for ABSI. The body mass index (BMI) was slightly more correlated with prehypertension than any other index. The standardized ORs for the six indices were 1.392, 1.361, 1.406, 1.039, 1.372, and 1.151, respectively. Compared to other adiposity indices, the WC had a significantly higher area under the curve (AUC) for predicting prehypertension (AUC: .619, sensitivity: 57%, specificity: 60.6%). In conclusion, WC and BMI might be the best indicators for prehypertension. Increasing evidence supports avoiding obesity as a preferred primary prevention strategy for prehypertension while controlling other major hypertension risk factors.

Indexed as

HypertensionPrehypertensionAdiposityAdultBody Mass IndexChinaCross-Sectional StudiesEast Asian PeopleFemaleHumansMaleObesityRisk FactorsROC CurveWaist CircumferenceWaist-Height Ratioadiposity indicesobesityprehypertension

Identifiers

PMID36974365
PMCPMC10184478
OpenAlexW4361190550

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.