Morning surge in blood pressure using a random-effects multiple-component cosinor model-Reference-Cited by-同舟云学术

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Morning surge in blood pressure using a random-effects multiple-component cosinor model

Published:2018-01-29 Issue:10 Volume:37 Page:1682-1695
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Madden J.M.¹²^ORCID,Browne L.D.²^ORCID,Li X.³,Kearney P.M.²,Fitzgerald A.P.²⁴

Affiliation:

1. RCSI Population and Health Sciences; Royal College of Surgeons in Ireland; Dublin Ireland

2. Department of Epidemiology & Public Health; University College Cork; Cork Ireland

3. Department of Mathematics and Statistics; La Trobe University; Melbourne Australia

4. Department of Statistics; University College Cork; Cork Ireland

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference55 articles.

1. National, regional, and global trends in systolic blood pressure since 1980: systematic analysis of health examination surveys and epidemiological studies with 786 country-years and 5.4 million participants;Danaei;Lancet,2011

2. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the global burden of disease study 2010;Lim;Lancet,2012

3. Morning surge in blood pressure and cardiovascular risk: evidence and perspectives;Kario;Hypertension,2010

4. Essential Manual of 24 Hour Blood Pressure Management

5. Morning surge in blood pressure as a predictor of silent and clinical cerebrovascular disease in elderly hypertensives: a prospective study;Kario;Circulation,2003

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1. Effect of circadian system disruption on the concentration and daily oscillations of cortisol, progesterone, melatonin, serotonin, growth hormone, and core body temperature in periparturient dairy cattle;Journal of Dairy Science;2022-03

2. A Joint Model for Unbalanced Nested Repeated Measures with Informative Drop-Out Applied to Ambulatory Blood Pressure Monitoring Data;BioMed Research International;2022-02-25

3. Physiological state and photoperiod exposures differentially influence circadian rhythms of body temperature and prolactin and relate to changes in mammary PER1 expression in late pregnant and early lactation dairy goats;Small Ruminant Research;2021-07

4. Circadian rhythm in critically ill patients: Insights from the eICU Database;Cardiovascular Digital Health Journal;2021-04

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