Evidence map›Paper›PMID 36759796›Full record

ArticleBMC public health2023

Diverse associations between adiposity and blood pressure among 80,000 multi-ethnic Chinese adults.

Jiayi Chen, Haojiang Zuo, Xinyu Wu, Yuan Zhang, Qiang Tan, Zhimiao Yu, Ciren Laba, Yongyue Pan, Jianzhong Yin, Feng Hong and 2 more

Abstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

12 authors.

Jiayi ChenWest China School of Public Health and West China Fourth Hospital, Sichuan University, 16#, Section 3, Renmin Road South, 610041, Chengdu, Sichuan, China.
Haojiang ZuoWest China School of Public Health and West China Fourth Hospital, Sichuan University, 16#, Section 3, Renmin Road South, 610041, Chengdu, Sichuan, China.
Xinyu WuWest China School of Public Health and West China Fourth Hospital, Sichuan University, 16#, Section 3, Renmin Road South, 610041, Chengdu, Sichuan, China.
Yuan ZhangWest China School of Public Health and West China Fourth Hospital, Sichuan University, 16#, Section 3, Renmin Road South, 610041, Chengdu, Sichuan, China.
Qiang TanChongqing Center for Disease Control and Prevention, Chongqing, China.
Zhimiao YuChengdu Center for Disease Control and Prevention, Chengdu, Sichuan, China.
Ciren LabaTibet Center for Disease Control and Prevention, Lhasa, Tibet, China.
Yongyue PanTibet University, Lhasa, Tibet, China.
Jianzhong YinSchool of Public Health, Kunming Medical University, Kunming, Yunnan, China. yinjianzhong2005@sina.com.
Feng HongSchool of Public Health, the Key Laboratory of Environmental Pollution Monitoring and Disease Control, Guizhou Medical University, Guiyang, Guizhou, China. fhong@gmc.edu.cn.
Peibin ZengWest China School of Public Health and West China Fourth Hospital, Sichuan University, 16#, Section 3, Renmin Road South, 610041, Chengdu, Sichuan, China. zengpeibin@live.cn.
Xing ZhaoWest China School of Public Health and West China Fourth Hospital, Sichuan University, 16#, Section 3, Renmin Road South, 610041, Chengdu, Sichuan, China.

Funding

National Key Research and Development Program of China 2017YFC 0907303National Natural Science Foundation of China 82003514
6 · The paper itself

Abstract

backgroundAdiposity is widely recognized as one of the risk factors for high blood pressure (BP) and increasing adiposity is associated with elevated BP. However, which measures of adiposity could be most strongly associated with BP in multi-ethnic population remains uncertain, giving rise to implications that population-based adiposity measures could be necessary.

methods80,000 multi-ethnic adults recruited from 5 provinces across Southwest China during 2018 ~ 2019 were studied. Multiple linear regression was applied to investigate the associations of systolic blood pressure (SBP) with: (1) two measures of general adiposity, body mass index (BMI) and height-adjusted weight; and (2) three measures of central adiposity, waist circumference (WC), hip circumference (HC) and waist hip ratio (WHR).

resultsTwo distinct population-specific patterns were identified, as "BMI to SBP" and "WC to SBP". 90% of the participants fall into "BMI to SBP" pattern, in which the associations of SBP with BMI were independent of WC, and SBP-WC associations were considerably decreased by adjustment for BMI. And in this pattern, 10 kg/m

conclusionOur results indicated that when selecting proper predictors for BP, population-specific adiposity measures are needed, considering ethnicity, sex and residing regions. A better understanding of adiposity and BP may better contribute to the potential clinical practices and developing precision application strategies.

Indexed as

AdiposityHypertensionAdultBlood PressureBody Mass IndexChinaEast Asian PeopleHumansMaleObesityRisk FactorsWaist CircumferenceBlood pressureCentral adiposityGeneral adiposityMulti-ethnic regionPopulation characteristics

Identifiers

PMID36759796
PMCPMC9912499

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.