Evidence map›Paper›PMID 32203072›Full record

ArticleJournal of human hypertension2021

Association of 6-year waist-circumference change with progression from prehypertension to hypertension: the Rural Chinese Cohort Study.

Pei Qin, Qing Chen, Tieqiang Wang, Xiaoliang Chen, Yang Zhao, Quanman Li, Qionggui Zhou, Chunmei Guo, Dechen Liu, Gang Tian and 8 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of human hypertension, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.4field-weighted citation impact, top 35% 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

9 citing papers in PubMed, 8 citations in OpenAlex.

  1. Prevalence of Prehypertension Among Adults in Baghdad/Iraq.International journal of hypertension · 2026
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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

18 authors at 3 institutions in 1 country.

Pei QinSchool of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.ORCID http://orcid.org/0000-0003-2303-0379
Qing ChenDepartment of Mental Health, Bao'an Chronic Diseases Prevent and Cure Hospital, Shenzhen, Guangdong, People's Republic of China.
Tieqiang WangKey Lab of Epidemiology, Department of Infectious Disease Control and Prevention, Shenzhen Guangming District Center for Disease Control and Prevention, Shenzhen, Guangdong, People's Republic of China.
Xiaoliang ChenKey Lab of Epidemiology, Department of Infectious Disease Control and Prevention, Shenzhen Guangming District Center for Disease Control and Prevention, Shenzhen, Guangdong, People's Republic of China.
Yang ZhaoDepartment of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Quanman LiDepartment of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Qionggui ZhouSchool of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.
Chunmei GuoKey Lab of Epidemiology, Department of Infectious Disease Control and Prevention, Shenzhen Guangming District Center for Disease Control and Prevention, Shenzhen, Guangdong, People's Republic of China.
Dechen LiuSchool of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.
Gang TianDepartment of Mental Health, Bao'an Chronic Diseases Prevent and Cure Hospital, Shenzhen, Guangdong, People's Republic of China.
Xiaoyan WuSchool of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.
Ranran QieDepartment of Mental Health, Bao'an Chronic Diseases Prevent and Cure Hospital, Shenzhen, Guangdong, People's Republic of China.
Minghui HanDepartment of Mental Health, Bao'an Chronic Diseases Prevent and Cure Hospital, Shenzhen, Guangdong, People's Republic of China.
Shengbing HuangDepartment of Mental Health, Bao'an Chronic Diseases Prevent and Cure Hospital, Shenzhen, Guangdong, People's Republic of China.
Leilei LiuDepartment of Epidemiology and Health Statistics, School of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Yang LiSchool of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.
Dongsheng HuSchool of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.ORCID http://orcid.org/0000-0002-9998-8041
Ming ZhangSchool of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China. zhangming1720@sina.com.ORCID http://orcid.org/0000-0002-2923-5335
Shenzhen University Health Science Center · CNZhengzhou University · CNShenzhen Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whether dynamic change in waist circumference is associated with progression from prehypertension to hypertension is not well understood. We explored this issue. A total of 4221 prehypertensive adults ≥18 years were enrolled during 2007-2008 and followed up during 2013-2014. Participants were classified by percentage waist-circumference change at follow-up: ≤-2.5, -2.5 to ≤2.5, 2.5 to ≤5.0, and >5.0%. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated with logistic regression models, with stable waist-circumference change (-2.5 to 2.5%) as the reference. During the 6 years of follow-up, 1464 prehypertensive patients (851 women) showed progression to hypertension, with an incidence rate of 32.7% for men and 36.3% for women. As compared with stable waist circumference, a waist-circumference gain > 5.0% was associated with increased hypertension risk: adjusted ORs (95% CI) were 1.08 (1.01-1.14) for men and 1.09 (1.04-1.15) for women. The risk also decreased significantly for men with ≥2.5% waist-circumference loss (OR = 0.94, 95% CI 0.88-1.00). We found a linear association between percentage waist-circumference gain and risk of progression from prehypertension to hypertension for both sexes by restricted cubic splines (p

Indexed as

HypertensionPrehypertensionAdultBody Mass IndexChinaCohort StudiesFemaleHumansMaleRisk FactorsWaist Circumference

Identifiers

PMID32203072
OpenAlexW3010893635

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.