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Seasonality and Cardio-Cerebrovascular Risk Factors for Benign Paroxysmal Positional Vertigo

Background: Benign paroxysmal positional vertigo (BPPV) is the most common cause of vertigo, especially in the elderly. Several studies have revealed a possible seasonality to BPPV. However, whether the seasonality of BPPV also exists in China is unclear. The characteristics of cardio-cerebrovascula...

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Autores principales: Cao, Zhentang, Zhao, Xingquan, Ju, Yi, Chen, Meimei, Wang, Yan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7160367/
https://www.ncbi.nlm.nih.gov/pubmed/32328027
http://dx.doi.org/10.3389/fneur.2020.00259
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author Cao, Zhentang
Zhao, Xingquan
Ju, Yi
Chen, Meimei
Wang, Yan
author_facet Cao, Zhentang
Zhao, Xingquan
Ju, Yi
Chen, Meimei
Wang, Yan
author_sort Cao, Zhentang
collection PubMed
description Background: Benign paroxysmal positional vertigo (BPPV) is the most common cause of vertigo, especially in the elderly. Several studies have revealed a possible seasonality to BPPV. However, whether the seasonality of BPPV also exists in China is unclear. The characteristics of cardio-cerebrovascular risk factors for BPPV in the cold season have not yet been investigated. Objectives: (1) To investigate the seasonality of BPPV; (2) To explore the relationship between cardio-cerebrovascular risk factors and seasonality of BPPV. Methods: A retrospective observational study was performed in Beijing Tiantan Hospital from Jan 2016 to Dec 2018. The study included 1,409 new-onset BPPV patients aged 18–88 years. The demographic data, onset time, and medical history of BPPV were collected. The meteorological data, including temperature, atmospheric pressure, rainfall, and insolation, was obtained from Beijing Meteorological service. The x(2) goodness of fit test was used to evaluate whether BPPV patients' numbers were significantly different among different months of the year. The Spearman correlation was used to detect the correlation between numbers of BPPV patients diagnosed monthly with each climatic parameter. The chi-square test for linear-by-linear association were used to investigate the relationship between cardio-cerebrovascular risk factor and seasonality of BPPV. Results: November to next March is the top 5 months with higher BPPV patient numbers (P < 0.001). The numbers of BPPV diagnosed monthly were conversely correlated with temperature and rainfall (r = −0.736, P = 0.010; r = −0.650, P = 0.022, respectively), positively correlated with atmospheric pressure (r = 0.708, P = 0.010), but no significant correlated with insolation. BPPV in the cold season (including January, February, March, November, and December) had a higher proportion, accounting for 54.2% of all BPPV patients. Among BPPV patients with ≥2, 1, and none cardio-cerebrovascular risk factors, the cold season accounted for 57.0, 56.0, 49.8%, respectively. As the number of cardio-cerebrovascular risk factors increased, the proportion of patients in the cold season of BPPV increased (P = 0.025). Conclusions: BPPV patients are seen more in the months with low temperature, low rainfall, and high atmospheric pressure. Compared with the non-cold season, BPPV patients have more risk factors for cardio-cerebrovascular diseases in the cold season.
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spelling pubmed-71603672020-04-23 Seasonality and Cardio-Cerebrovascular Risk Factors for Benign Paroxysmal Positional Vertigo Cao, Zhentang Zhao, Xingquan Ju, Yi Chen, Meimei Wang, Yan Front Neurol Neurology Background: Benign paroxysmal positional vertigo (BPPV) is the most common cause of vertigo, especially in the elderly. Several studies have revealed a possible seasonality to BPPV. However, whether the seasonality of BPPV also exists in China is unclear. The characteristics of cardio-cerebrovascular risk factors for BPPV in the cold season have not yet been investigated. Objectives: (1) To investigate the seasonality of BPPV; (2) To explore the relationship between cardio-cerebrovascular risk factors and seasonality of BPPV. Methods: A retrospective observational study was performed in Beijing Tiantan Hospital from Jan 2016 to Dec 2018. The study included 1,409 new-onset BPPV patients aged 18–88 years. The demographic data, onset time, and medical history of BPPV were collected. The meteorological data, including temperature, atmospheric pressure, rainfall, and insolation, was obtained from Beijing Meteorological service. The x(2) goodness of fit test was used to evaluate whether BPPV patients' numbers were significantly different among different months of the year. The Spearman correlation was used to detect the correlation between numbers of BPPV patients diagnosed monthly with each climatic parameter. The chi-square test for linear-by-linear association were used to investigate the relationship between cardio-cerebrovascular risk factor and seasonality of BPPV. Results: November to next March is the top 5 months with higher BPPV patient numbers (P < 0.001). The numbers of BPPV diagnosed monthly were conversely correlated with temperature and rainfall (r = −0.736, P = 0.010; r = −0.650, P = 0.022, respectively), positively correlated with atmospheric pressure (r = 0.708, P = 0.010), but no significant correlated with insolation. BPPV in the cold season (including January, February, March, November, and December) had a higher proportion, accounting for 54.2% of all BPPV patients. Among BPPV patients with ≥2, 1, and none cardio-cerebrovascular risk factors, the cold season accounted for 57.0, 56.0, 49.8%, respectively. As the number of cardio-cerebrovascular risk factors increased, the proportion of patients in the cold season of BPPV increased (P = 0.025). Conclusions: BPPV patients are seen more in the months with low temperature, low rainfall, and high atmospheric pressure. Compared with the non-cold season, BPPV patients have more risk factors for cardio-cerebrovascular diseases in the cold season. Frontiers Media S.A. 2020-04-09 /pmc/articles/PMC7160367/ /pubmed/32328027 http://dx.doi.org/10.3389/fneur.2020.00259 Text en Copyright © 2020 Cao, Zhao, Ju, Chen and Wang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neurology
Cao, Zhentang
Zhao, Xingquan
Ju, Yi
Chen, Meimei
Wang, Yan
Seasonality and Cardio-Cerebrovascular Risk Factors for Benign Paroxysmal Positional Vertigo
title Seasonality and Cardio-Cerebrovascular Risk Factors for Benign Paroxysmal Positional Vertigo
title_full Seasonality and Cardio-Cerebrovascular Risk Factors for Benign Paroxysmal Positional Vertigo
title_fullStr Seasonality and Cardio-Cerebrovascular Risk Factors for Benign Paroxysmal Positional Vertigo
title_full_unstemmed Seasonality and Cardio-Cerebrovascular Risk Factors for Benign Paroxysmal Positional Vertigo
title_short Seasonality and Cardio-Cerebrovascular Risk Factors for Benign Paroxysmal Positional Vertigo
title_sort seasonality and cardio-cerebrovascular risk factors for benign paroxysmal positional vertigo
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7160367/
https://www.ncbi.nlm.nih.gov/pubmed/32328027
http://dx.doi.org/10.3389/fneur.2020.00259
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