Literature DB >> 32102047

Seasonal blood pressure variation assessed by different measurement methods: systematic review and meta-analysis.

Anastasios Kollias1, Konstantinos G Kyriakoulis, Emelina Stambolliu, Angeliki Ntineri, Ioannis Anagnostopoulos, George S Stergiou.   

Abstract

OBJECTIVE: The current study reviewed the published evidence on the seasonal changes in blood pressure (BP) assessed using different measurement methods.
METHODS: A systematic PubMed/EMBASE search was performed for studies assessing seasonal BP changes. Prospective and cross-sectional studies were included fulfilling the following criteria: (i) report of ambulatory and/or home BP data; (ii) cross-sectional studies reporting only office BP measurements and including 1000 or more participants.
RESULTS: Forty-seven studies fulfilled the selection criteria and were included (856 539 participants, weighted age 49.7 ± 4.8 years, 38.8% treated hypertensive patients). The pooled summer minus winter SBP/DBP difference (95% confidence intervals) was office BP (29 studies) -5.6 (-7.1, -4.0)/-3.3 (-4.0, -2.7) mmHg; daytime ambulatory BP (15 studies) -3.4 (-4.4, -2.4)/-2.1 (-2.8, -1.4) mmHg; night-time ambulatory BP (13 studies) 1.3 (0.2, 2.3)/0.5 (-0.2, 1.2) mmHg; home BP (9 studies) -6.1 (-7.0, -5.1)/-3.1 (-3.5, -2.6) mmHg. Meta-analysis of 28 prospective studies (N = 5278) which examined the same individuals during different seasons showed pooled seasonal SBP/DBP difference: office BP -5.8/-4.0 mmHg; daytime ambulatory BP -3.9/-2.7 mmHg; night-time ambulatory BP 0.5/-0.5 mmHg; home BP -6.4 /-3.3 mmHg. In meta-regression analysis seasonal systolic daytime ambulatory BP difference was related to the percentage of treated hypertensive patients across studies (P = 0.02) and borderline to age (P = 0.07).
CONCLUSION: Seasonal BP changes are evident using all daytime BP measurement methods, but not with night-time ambulatory BP. The average BP decline in hot season is at about 5/3 (SBP/DBP) mmHg and appears to be larger in treated hypertensive patients and in older individuals.

Entities:  

Year:  2020        PMID: 32102047     DOI: 10.1097/HJH.0000000000002355

Source DB:  PubMed          Journal:  J Hypertens        ISSN: 0263-6352            Impact factor:   4.844


  7 in total

Review 1.  Seasonal variation in blood pressure: current evidence and recommendations for hypertension management.

Authors:  Keisuke Narita; Satoshi Hoshide; Kazuomi Kario
Journal:  Hypertens Res       Date:  2021-09-06       Impact factor: 3.872

2.  Isolated nocturnal hypertension in relation to host and environmental factors and clock genes.

Authors:  Jian-Feng Huang; Dong-Yan Zhang; Chang-Sheng Sheng; De-Wei An; Mingxuan Li; Yi-Bang Cheng; Qian-Hui Guo; Ying Wang; Ji-Guang Wang; Yan Li
Journal:  J Clin Hypertens (Greenwich)       Date:  2022-08-09       Impact factor: 2.885

3.  The Effects of Two Intervention Strategies to Reduce the Intake of Salt and the Sodium-To-Potassium Ratio on Cardiovascular Risk Factors. A 4-Month Randomised Controlled Study among Healthy Families.

Authors:  Ulla Toft; Nanna Louise Riis; Anne Dahl Lassen; Ellen Trolle; Anne Helms Andreasen; Amalie Kruse Sigersted Frederiksen; Niklas Rye Joergensen; Jens Kristian Munk; Kirsten Schroll Bjoernsbo
Journal:  Nutrients       Date:  2020-05-19       Impact factor: 5.717

4.  The Impact on Blood Pressure of a Short-Term Change in Indoor Temperature.

Authors:  Xi Chen; Ping Tu; Xing-Lan Sun; Ting-Ying Hu; Jia Wan; Yi-Wei Hu; Hui-Ling Zhou; Hai Su
Journal:  Int J Gen Med       Date:  2021-04-22

5.  Association of an Automated Blood Pressure Measurement Quality Improvement Program With Terminal Digit Preference and Recorded Mean Blood Pressure in 11 Clinics.

Authors:  Thomas E Kottke; Jeffrey P Anderson; Jacob D Zillhardt; JoAnn M Sperl-Hillen; Patrick J O'Connor; Beverly B Green; Rae Ann Williams; Beth M Averbeck; Michael N Stiffman; MarySue Beran; Michael Rakotz; Karen L Margolis
Journal:  JAMA Netw Open       Date:  2022-08-01

6.  Exposure to air pollution and its effect on ischemic strokes (EP-PARTICLES study).

Authors:  Łukasz Kuźma; Sylwia Roszkowska; Michał Święczkowski; Emil Julian Dąbrowski; Anna Kurasz; Wojciech Wańha; Hanna Bachórzewska-Gajewska; Sławomir Dobrzycki
Journal:  Sci Rep       Date:  2022-10-13       Impact factor: 4.996

7.  Discussion of Cuffless Blood Pressure Prediction Using Plethysmograph Based on a Longitudinal Experiment: Is the Individual Model Necessary?

Authors:  Koshiro Kido; Zheng Chen; Ming Huang; Toshiyo Tamura; Wei Chen; Naoaki Ono; Masachika Takeuchi; Md Altaf-Ul-Amin; Shigehiko Kanaya
Journal:  Life (Basel)       Date:  2021-12-22
  7 in total

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