Evidence map›Paper›PMID 29579276›Full record

ArticleInternational journal of epidemiology2018

Contributions of mean and shape of blood pressure distribution to worldwide trends and variations in raised blood pressure: a pooled analysis of 1018 population-based measurement studies with 88.6 million participants.

NCD Risk Factor Collaboration (NCD-RisC)

Open access · hybridAbstract read
In one paragraph

Article in International journal of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 4 pooled it
9.2field-weighted citation impact, top 1% 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

39 citing papers in PubMed, 4 syntheses or guidelines pooled it, 83 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

1 author at 20 institutions in 39 countries.

NCD Risk Factor Collaboration (NCD-RisC)
Imperial College London · GBCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ESTehran University of Medical Sciences · IRInstitut Pasteur de Lille · FRMRC Epidemiology Unit · GBUniversidade do Porto · PTUniversity of Eastern Finland · FIUniversity of London · GBUppsala University · SEBaker Heart and Diabetes Institute · AUCenter for Clinical Research and Prevention · DKChina Earthquake Administration · CNErasmus MC · NLGerman Cancer Research Center · DEHeidelberg University · DEInnsbruck Medical University · ATInstitute of Social and Preventive Medicine · CHInteractions Gène-Environnement en Physiopathologie Cardio-Vasculaire · FRJohns Hopkins University · USLeibniz Institute for Prevention Research and Epidemiology - BIPS · DE

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI GARY O RANKIN · 2012 to 2026
$81.0M
Integrated cellular, mouse and human research on a novel missense variant influencing adiposity in SamoansR01HL093093 · NHLBI · BROWN UNIVERSITY · PI MCGARVEY, STEPHEN T. · 2009 to 2019
$8.2M
Science/Technical CoreP2CHD041020 · NICHD · BROWN UNIVERSITY · PI Margot Jackson · 2016 to 2026
$7.6M
British Heart Foundation PG/09/024/26857British Heart Foundation RG/13/16/30528Cancer Research UK 14136Medical Research Council G0400491Medical Research Council G0400519Medical Research Council G0401527Medical Research Council G1000143Medical Research Council MC_U137686851Medical Research Council MC_U147574218Medical Research Council MC_U147574242Medical Research Council MC_U147585819Medical Research Council MC_U147585824Medical Research Council MC_U147585827Medical Research Council MC_UP_A620_1014Medical Research Council MC_UP_A620_1016Medical Research Council MC_UU_12011/1Medical Research Council MC_UU_12011/2Medical Research Council MC_UU_12011/3Medical Research Council MC_UU_12015/1Medical Research Council MC_UU_12026/2Medical Research Council MR/N003284/1NHLBI NIH HHS R01 HL093093NICHD NIH HHS P2C HD041020NIGMS NIH HHS U54 GM104942Wellcome Trust 212946/Z/18/Z
6 · The paper itself

Abstract

backgroundChange in the prevalence of raised blood pressure could be due to both shifts in the entire distribution of blood pressure (representing the combined effects of public health interventions and secular trends) and changes in its high-blood-pressure tail (representing successful clinical interventions to control blood pressure in the hypertensive population). Our aim was to quantify the contributions of these two phenomena to the worldwide trends in the prevalence of raised blood pressure.

methodsWe pooled 1018 population-based studies with blood pressure measurements on 88.6 million participants from 1985 to 2016. We first calculated mean systolic blood pressure (SBP), mean diastolic blood pressure (DBP) and prevalence of raised blood pressure by sex and 10-year age group from 20-29 years to 70-79 years in each study, taking into account complex survey design and survey sample weights, where relevant. We used a linear mixed effect model to quantify the association between (probit-transformed) prevalence of raised blood pressure and age-group- and sex-specific mean blood pressure. We calculated the contributions of change in mean SBP and DBP, and of change in the prevalence-mean association, to the change in prevalence of raised blood pressure.

resultsIn 2005-16, at the same level of population mean SBP and DBP, men and women in South Asia and in Central Asia, the Middle East and North Africa would have the highest prevalence of raised blood pressure, and men and women in the high-income Asia Pacific and high-income Western regions would have the lowest. In most region-sex-age groups where the prevalence of raised blood pressure declined, one half or more of the decline was due to the decline in mean blood pressure. Where prevalence of raised blood pressure has increased, the change was entirely driven by increasing mean blood pressure, offset partly by the change in the prevalence-mean association.

conclusionsChange in mean blood pressure is the main driver of the worldwide change in the prevalence of raised blood pressure, but change in the high-blood-pressure tail of the distribution has also contributed to the change in prevalence, especially in older age groups.

Indexed as

Blood pressureglobal healthhypertensionnon-communicable diseasepopulation health

Identifiers

PMID29579276
PMCPMC6005056
OpenAlexW2785383957

What OpenQuestion holds

Textmetadata
LicenceTDM
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.