Title
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
Date Issued
01 June 2018
Access level
open access
Resource Type
journal article
Author(s)
Ezzati M.
Zhou B.
Bentham J.
Di Cesare M.
Bixby H.
Danaei G.
Hajifathalian K.
Taddei C.
Djalalinia S.
Khatibzadeh S.
Lugero C.
Peykari N.
Zhang W.Z.
Bennett J.
Bilano V.
Stevens G.A.
Cowan M.J.
Riley L.M.
Chen Z.
Hambleton I.R.
Jackson R.T.
Kengne A.P.
Khang Y.H.
Laxmaiah A.
Liu J.
Malekzadeh R.
Neuhauser H.K.
Sorić M.
Starc G.
Sundström J.
Woodward M.
Abarca-Gómez L.
Abdeen Z.A.
Abu-Rmeileh N.M.
Acosta-Cazares B.
Adams R.J.
Aekplakorn W.
Afsana K.
Aguilar-Salinas C.A.
Agyemang C.
Ahmad N.A.
Ahmadvand A.
Ahrens W.
Ajlouni K.
Akhtaeva N.
Al-Raddadi R.
Ali M.M.
Ali O.
Alkerwi A.
Aly E.
Amarapurkar D.N.
Amouyel P.
Amuzu A.
Andersen L.B.
Anderssen S.A.
Ängquist L.H.
Anjana R.M.
Ansong D.
Aounallah-Skhiri H.
Araújo J.
Ariansen I.
Aris T.
Arlappa N.
Arveiler D.
Aryal K.K.
Aspelund T.
Assah F.K.
Assunção M.C.F.
Avdicová M.
Azevedo A.
Azizi F.
Babu B.V.
Bahijri S.
Balakrishna N.
Bamoshmoosh M.
Banach M.
Bandosz P.
Banegas J.R.
Barbagallo C.M.
Barceló A.
Barkat A.
Barros A.J.D.
Barros M.V.
Bata I.
Batieha A.M.
Batyrbek A.
Baur L.A.
Beaglehole R.
Romdhane H.B.
Benet M.
Benson L.S.
Bernotiene G.
Bettiol H.
Bhagyalaxmi A.
Bharadwaj S.
Bhargava S.K.
Bi Y.
Bikbov M.
Publisher(s)
Oxford University Press
Abstract
Background: Change 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. Methods: We 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 (probittransformed) 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. Results: In 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 highincome 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. Conclusions: Change 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.
Start page
872
End page
883i
Volume
47
Issue
3
Language
English
OCDE Knowledge area
Sistema cardiaco, Sistema cardiovascular
Subjects
Scopus EID
2-s2.0-85050702158
PubMed ID
Source
International Journal of Epidemiology
ISSN of the container
03005771
Sponsor(s)
We thank WHO country and regional offices and the World Heart Federation for support in data identification and access. This work was supported by the Wellcome Trust [101506/Z/13/Z]
National Institute of General Medical Sciences U54GM104942
National Institute of Child Health and Human Development P2CHD041020
Horizon 2020 Framework Programme 692145
Medical Research Council G0400491, G0401527, MC_U147585824, MC_UP_A620_1014, MC_UU_12011/1, MC_UU_12011/2, MC_UU_12011/3, MC_UU_12026/2, MR/N003284/1
Economic and Social Research Council ES/L007509/1
Japan Society for the Promotion of Science 15H05123, 15K08762
Sources of information:
Directorio de Producción Científica
Scopus