Literature DB >> 8003271

Siesta and ambulatory blood pressure monitoring. Comparability of the afternoon nap and night sleep.

M Bursztyn1, J Mekler, N Wachtel, D Ben-Ishay.   

Abstract

A prospective analysis of consecutive ambulatory blood pressure monitorings over a 5 month period identified 50 subjects (35%) who took an afternoon nap during the monitoring. The average duration of daytime sleep, as reported by the patients, was 1.8 +/- 0.6 h compared with the reported 7 +/- 2 h for nighttime sleep. Ambulatory blood pressure values during daytime awake periods were significantly higher compared with daytime sleep and nighttime sleep. The blood pressure decline during daytime sleep and nighttime sleep was similar. The pattern of blood pressure changes during daytime sleep was comparable in normotensive (n = 16), untreated (n = 10), and treated hypertensives (n = 24), irrespective of age, gender, and the level of blood pressure. The marked decline in blood pressure during daytime sleep suggests that sleep itself, rather than an endogenous circadian rhythm, is responsible for the blood pressure dip observed during both daytime sleep and nighttime sleep. Ignoring actual sleeping time in people who sleep during the day may greatly distort the day-night ambulatory blood pressure difference, when the latter is calculated on the basis of arbitrarily defined "day" and "night" periods.

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Year:  1994        PMID: 8003271     DOI: 10.1093/ajh/7.3.217

Source DB:  PubMed          Journal:  Am J Hypertens        ISSN: 0895-7061            Impact factor:   2.689


  12 in total

Review 1.  The circadian nuances of hypertension: a reappraisal of 24-h ambulatory blood pressure measurement in clinical practice.

Authors:  E O'Brien
Journal:  Ir J Med Sci       Date:  2007-04-24       Impact factor: 1.568

2.  Circadian variation of aqueous dynamics in young healthy adults.

Authors:  Arthur J Sit; Cherie B Nau; Jay W McLaren; Douglas H Johnson; David Hodge
Journal:  Invest Ophthalmol Vis Sci       Date:  2008-04       Impact factor: 4.799

3.  Twenty-four-hour ambulatory blood pressure monitoring in infants and toddlers.

Authors:  Natasa Marcun Varda; Alojz Gregoric
Journal:  Pediatr Nephrol       Date:  2005-04-27       Impact factor: 3.714

4.  Midday naps and the risk of coronary artery disease: results of the Heinz Nixdorf Recall Study.

Authors:  Andreas Stang; Nico Dragano; Susanne Moebus; Stefan Möhlenkamp; Axel Schmermund; Hagen Kälsch; Raimund Erbel; Karl-Heinz Jöckel
Journal:  Sleep       Date:  2012-12-01       Impact factor: 5.849

Review 5.  Cardiovascular, inflammatory, and metabolic consequences of sleep deprivation.

Authors:  Janet M Mullington; Monika Haack; Maria Toth; Jorge M Serrador; Hans K Meier-Ewert
Journal:  Prog Cardiovasc Dis       Date:  2009 Jan-Feb       Impact factor: 8.194

6.  Daytime napping and ambulatory blood pressure monitoring: Relevancy in Asian populations.

Authors:  Michael Bursztyn
Journal:  J Clin Hypertens (Greenwich)       Date:  2017-09-24       Impact factor: 3.738

7.  Left Ventricular Hypertrophy in Hypertension and Nocturnal Blood Pressure.

Authors:  Michael Bursztyn
Journal:  J Clin Hypertens (Greenwich)       Date:  2015-07-14       Impact factor: 3.738

8.  Do Obese Individuals With Hypertension Have More Difficult-to-Control Blood Pressure and End Organ Damage Than Their Nonobese Counterparts?

Authors:  Mark David Jesky; Manvir Kaur Hayer; Mark Thomas; Indranil Dasgupta
Journal:  J Clin Hypertens (Greenwich)       Date:  2015-03-23       Impact factor: 3.738

9.  High prevalence of non-dipping patterns among Black Africans with uncontrolled hypertension: a secondary analysis of the CREOLE trial.

Authors:  Prossie Merab Ingabire; Dike B Ojji; Brian Rayner; Elijah Ogola; Albertino Damasceno; Erika Jones; Anastase Dzudie; Okechukwu S Ogah; Neil Poulter; Mahmoud U Sani; Felix Ayub Barasa; Grace Shedul; John Mukisa; David Mukunya; Bonnie Wandera; Charles Batte; James Kayima; Shahiemah Pandie; Charles Kiiza Mondo
Journal:  BMC Cardiovasc Disord       Date:  2021-05-22       Impact factor: 2.298

10.  Forecasting behavior in smart homes based on sleep and wake patterns.

Authors:  Jennifer A Williams; Diane J Cook
Journal:  Technol Health Care       Date:  2017       Impact factor: 1.285

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