Evidence map›Paper›PMID 25747585›Full record

ArticleInternational journal of epidemiology2015

Blood pressure in relation to general and central adiposity among 500 000 adult Chinese men and women.

Zhengming Chen, Margaret Smith, Huaidong Du, Yu Guo, Robert Clarke, Zheng Bian, Rory Collins, Junshi Chen, Yijian Qian, Xiaoping Wang and 6 more

Open access · hybridAbstract read
In one paragraph

Article in International journal of epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 3 pooled it
2.5field-weighted citation impact, top 10% 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

38 citing papers in PubMed, 3 syntheses or guidelines pooled it, 55 citations in OpenAlex.

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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

16 authors at 7 institutions in 2 countries.

Zhengming ChenClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK, zhengming.chen@ctsu.ox.ac.uk lmlee@vip.163.com.
Margaret SmithClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Huaidong DuClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Yu GuoChinese Academy of Medical Sciences, Beijing, China.
Robert ClarkeClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Zheng BianChinese Academy of Medical Sciences, Beijing, China.
Rory CollinsClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Junshi ChenChina National Centre for Food Safety Risk Assessment, Beijing, China.
Yijian QianTongxiang Centre for Disease Control and Prevention (CDC), Zhejiang, China.
Xiaoping WangMaiji CDC, Gansu, China.
Xiaofang ChenSichuan Provincial CDC, Chengdu, China.
Xiaocao TianQingdao CDC, Qingdao, China.
Xiaohuan WangHainan Provincial CDC, Haikou, China and.
Richard PetoClinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Liming LiChinese Academy of Medical Sciences, Beijing, China, Department of Epidemiology & Biostatistics, Peking University, Beijing, China zhengming.chen@ctsu.ox.ac.uk lmlee@vip.163.com.
China Kadoorie Biobank Collaborative Group
University of Oxford · GBChinese Academy of Medical Sciences & Peking Union Medical College · CNHainan Center for Disease Control & Prevention · CNChina National Center for Food Safety Risk Assessment · CNPeking University · CNQingdao Municipal Center for Disease Control and Prevention · CNZhejiang Center for Disease Control and Prevention · CN

Funding

British Heart FoundationCancer Research UKMedical Research Council MC_U137686851Wellcome Trust 088158/Z/09/ZWellcome Trust 104085/Z/14/Z
6 · The paper itself

Abstract

backgroundGreater adiposity is associated with higher blood pressure. Substantial uncertainty remains, however, about which measures of adiposity most strongly predict blood pressure and whether these associations differ materially between populations.

methodsWe examined cross-sectional data on 500 000 adults recruited from 10 diverse localities across China during 2004-08. Multiple linear regression was used to estimate the effects on systolic blood pressure (SBP) of general adiposity [e.g. body mass index (BMI), body fat percentage, height-adjusted weight] vs central adiposity [e.g. waist circumference (WC), hip circumference (HC), waist-hip ratio (WHR)], before and after adjustment for each other. The main analyses excluded those reported taking any antihypertensive medication, and were adjusted for age, region and education.

resultsThe overall mean [standard deviation (SD)] BMI was 23.6 (3.3) kg/m(2) and mean WC was 80.0 (9.5) cm. The differences in SBP (men/women, mmHg) per 1SD higher general adiposity (height-adjusted weight: 6.6/5.6; BMI: 5.5/4.9; body fat percentage: 5.5/5.0) were greater than for central adiposity (WC: 5.0/4.3; HC: 4.8/4.1; WHR: 3.7/3.2), with a 10 kg/m(2) greater BMI being associated on average with 16 (men/women: 17/14) mmHg higher SBP. The associations of blood pressure with measures of general adiposity were not materially altered by adjusting for WC and HC, but those for central adiposity were significantly attenuated after adjusting for BMI (WC: 1.1/0.7; HC: 0.3/-0.2; WHR: 0.6/0.6).

conclusionIn adult Chinese, blood pressure is more strongly associated with general adiposity than with central adiposity, and the associations with BMI were about 50% stronger than those observed in Western populations.

Indexed as

Body Mass IndexWaist CircumferenceWaist-Hip RatioAdiposityAdultAgedAsian PeopleBlood PressureBlood Pressure DeterminationChinaCross-Sectional StudiesFemaleHumansLinear ModelsMaleMiddle AgedAdiposityblood pressureChinesecross-sectional studiesepidemiology

Identifiers

PMID25747585
PMCPMC4588860
OpenAlexW2097133059

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.