Literature DB >> 33017521

Identifying patterns of diurnal blood pressure variation among ELSA-Brasil participants.

Daniela P Paula1, Leidjaira J Lopes2, José G Mill3, Maria J M Fonseca4, Rosane H Griep5.   

Abstract

Ambulatory blood pressure monitoring (ABPM) is the gold standard method for the diagnosis of hypertension. ABPM provides a set of repeated measurements for blood pressure (BP), usually over 24 h. Traditional approaches characterize diurnal BP variation by single ABPM parameters such as average and standard deviation, regardless of the temporal nature of the data. In this way, information about the pattern of diurnal BP variation and relationship between parameters is lost. The objective of this study was to identify and characterize daily BP patterns considering the set of repeated measures from 24-h ABPM. A total of 859 adult participants of the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) performed a 24-h ABPM record. Hypertension, sex, age, race/color, education, marital status, smoking, alcohol, physical activity, and BMI were the covariables analyzed. Techniques for longitudinal clustering, multinomial models, and models with mixed effects were used. Three daily BP patterns were identified. Daily BP patterns with high BP presented higher standard deviation and morning surge and lower nocturnal dipping. They showed greater systolic BP variability and faster rise than fall in diastolic BP during sleep. Hypertensive, "pardos," and men had greater odds to present these patterns. Daily BP patterns with high BP presented the worst profile concerning ABPM parameters associated with cardiovascular risk. The daily BP patterns identified contribute to the characterization of diurnal BP variation.
© 2020 Wiley Periodicals LLC.

Entities:  

Keywords:  ABPM; blood pressure; diurnal BP variation; variability

Mesh:

Year:  2020        PMID: 33017521      PMCID: PMC8029886          DOI: 10.1111/jch.14066

Source DB:  PubMed          Journal:  J Clin Hypertens (Greenwich)        ISSN: 1524-6175            Impact factor:   3.738


  41 in total

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Journal:  Blood Press Monit       Date:  1996-02       Impact factor: 1.444

2.  Determinants of blood pressure variability in youth: at the roots of hypertension.

Authors:  Giuseppe Schillaci; Gianfranco Parati
Journal:  J Hypertens       Date:  2010-04       Impact factor: 4.844

3.  A Parametric k-Means Algorithm.

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Authors:  Jose Geraldo Mill; Karina Pinto; Rosane Härter Griep; Alessandra Goulart; Murilo Foppa; Paulo A Lotufo; Marcelo K Maestri; Antonio Luiz Ribeiro; Rodrigo Varejão Andreão; Eduardo Miranda Dantas; Ilka Oliveira; Sandra C Fuchs; Roberto de Sá Cunha; Isabela M Bensenor
Journal:  Rev Saude Publica       Date:  2013-06       Impact factor: 2.106

5.  A reliable index for the prognostic significance of blood pressure variability.

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Journal:  J Hypertens       Date:  2005-03       Impact factor: 4.844

Review 6.  Dipper and non-dipper blood pressure 24-hour patterns: circadian rhythm-dependent physiologic and pathophysiologic mechanisms.

Authors:  Fabio Fabbian; Michael H Smolensky; Ruana Tiseo; Marco Pala; Roberto Manfredini; Francesco Portaluppi
Journal:  Chronobiol Int       Date:  2012-09-24       Impact factor: 2.877

Review 7.  Gender Differences in Hypertension.

Authors:  Juan-Juan Song; Zheng Ma; Juan Wang; Lin-Xi Chen; Jiu-Chang Zhong
Journal:  J Cardiovasc Transl Res       Date:  2019-05-01       Impact factor: 4.132

8.  Job Stress and Heart Rate Variability: Findings From the ELSA-Brasil Cohort.

Authors:  Itamar Gusmão Oliveira Júnior; Lidyane V Camelo; José Geraldo Mill; Antonio Luiz Ribeiro; Maria de Jesus Mendes da Fonseca; Rosane Härter Griep; Isabela Judith Bensenor; Itamar S Santos; Sandhi Maria Barreto; Luana Giatti
Journal:  Psychosom Med       Date:  2019 Jul/Aug       Impact factor: 4.312

9.  A quantitative analysis of the effects of activity and time of day on the diurnal variations of blood pressure.

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10.  Cohort Profile: Longitudinal Study of Adult Health (ELSA-Brasil).

Authors:  Maria Inês Schmidt; Bruce B Duncan; José Geraldo Mill; Paulo A Lotufo; Dóra Chor; Sandhi Maria Barreto; Estela M L Aquino; Valéria Maria Azeredo Passos; Sheila M A Matos; Maria del Carmen B Molina; Marilia S Carvalho; Isabela M Bensenor
Journal:  Int J Epidemiol       Date:  2014-02-27       Impact factor: 7.196

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