2010
DOI: 10.1038/hr.2010.176
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Impact of outdoor temperature on prewaking morning surge and nocturnal decline in blood pressure in a Japanese population

Abstract: Seasonal variations in blood pressure (BP) have often been attributed to meteorological factors, especially changes in outdoor temperature. We evaluated the direct association between meteorological factors and circadian BP variability. Twenty-four-hour ambulatory BP was monitored continuously for 7 days in 158 subjects. Mean awake, asleep, morning (first 2 h after waking) BP, prewaking morning BP surge (morning systolic BP (SBP)Àmean SBP during the 2-h period before waking) and nocturnal BP decline were measu… Show more

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Cited by 43 publications
(27 citation statements)
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“…BP phenotypes are probably more closely related to the mediumto-long-term variation in atmospheric conditions rather than to the short-term variation, as exemplified by our current 24-hour ambulatory monitoring enabled us to study the BP rhythmicity during the whole day. [9][10][11][16][17][18][19][20] Our methods were concordant with a recent study 11 that also applied multivariable regression analyses to investigate the independent effects of host and environmental factors, including personal-level temperature, relative humidity, atmospheric pressure, and daylight hours (seasonality). However, the outcome variables in this study were 24-hour daytime and nighttime BPs instead of the night-to-day BP ratio.…”
Section: Discussionsupporting
confidence: 62%
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“…BP phenotypes are probably more closely related to the mediumto-long-term variation in atmospheric conditions rather than to the short-term variation, as exemplified by our current 24-hour ambulatory monitoring enabled us to study the BP rhythmicity during the whole day. [9][10][11][16][17][18][19][20] Our methods were concordant with a recent study 11 that also applied multivariable regression analyses to investigate the independent effects of host and environmental factors, including personal-level temperature, relative humidity, atmospheric pressure, and daylight hours (seasonality). However, the outcome variables in this study were 24-hour daytime and nighttime BPs instead of the night-to-day BP ratio.…”
Section: Discussionsupporting
confidence: 62%
“…The time a person habitually spends awake and asleep, 5 physical and psychological stressors on weekdays versus weekends, 6 smoking, 7 and drinking 8 all impact on the diurnal BP rhythmicity. Environmental cues include seasonality, 9 ambient temperature, 10 atmospheric pressure, and humidity. 11 Numerous studies dating back to the early 1980s described the influence of atmospheric conditions, 9-15 most often temperature, 10,13,14 on the conventionally measured office BP or on the out-of-the-office BP 13 either measured by home 14 or ambulatory monitoring.…”
mentioning
confidence: 99%
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“…8,[24][25][26][27][28][29] In addition, various physiological or behavioral factors, including waking and sleep cycles, mental and physical stress, temperature, and alcohol intake can affect both HBPV and VVV. [30][31][32][33][34] Previous studies have shown the factors affecting HBPV, including older age, female gender, high HBP and alcohol intake. 25,[30][31][32] The factors affecting VVV were almost similar to those affecting HBPV in several studies, including older age, female gender, high mean systolic clinic BP and history of myocardial infarction.…”
Section: Discussionmentioning
confidence: 99%
“…This cold temperature-augmented morning BP increase may partly account for the increased number of CVDs on cold mornings during the winter season. 17 In the current issue of Hypertension Research, Murakami et al 18 make an important contribution toward our understanding of the association between cold temperature and morning BP increase. In this cross-sectional survey of 158 subjects who had performed 24-h ambulatory BP monitoring continuously for 7 days (mean 58 years; men: 41%), the authors evaluated the association between meteorological factors (outdoor temperature and atmospheric pressure) and circadian BP variability.…”
mentioning
confidence: 99%