Benign paroxysmal positional vertigo (BPPV) is one of the most common vestibular disorders. An investigation into the factors related to BPPV could contribute to its prevention and appropriate management. We investigated the association between climatic factors and incidence of BPPV in this study. A total of 365 patients who were diagnosed with idiopathic BPPV in the emergency room of our hospital in 2015 were included. The number of patients diagnosed with BPPV per week was calculated (every week). Climatic factors, including daily average humidity, temperature, atmospheric pressure, cloud amount, sunshine amount, and daylight time, were documented daily. The weekly mean climatic value in each week was calculated. Simple correlation analysis and multivariate regression analyses were performed to identify climatic factors associated with the number of patients diagnosed with BPPV. Simple correlation analysis revealed a significant association between the humidity (r = 0.276, p = 0.048), temperature (r = 0.275, p = 0.049), and cloud amount (r = 0.293, p = 0.035) and the number of BPPV patients diagnosed per week. Multivariate regression analysis revealed that only the cloud amount was a statistically significant factor associated with the number of BPPV patients diagnosed every week. A significant positive association was discovered between the cloud amount and BPPV incidence. Cloud amount can therefore have an association with the incidence of BPPV.

中文翻译：

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气候对良性阵发性位置性眩晕发病率的影响

良性阵发性位置性眩晕（BPPV）是最常见的前庭疾病之一。调查与 BPPV 相关的因素可能有助于其预防和适当的管理。我们在本研究中调查了气候因素与 BPPV 发病率之间的关联。2015年在我院急诊室确诊为特发性BPPV的患者共365例。计算每周诊断为 BPPV 的患者人数（每周）。每天记录气候因素，包括日平均湿度、温度、气压、云量、日照量和日光时间。计算每周的每周平均气候值。进行简单的相关分析和多元回归分析以确定与诊断为 BPPV 的患者数量相关的气候因素。简单相关分析显示湿度（r = 0.276，p = 0.048）、温度（r = 0.275，p = 0.049）和云量（r = 0.293，p = 0.035）与诊断的 BPPV 患者数量之间存在显着关联每个星期。多元回归分析显示，只有云量是与每周诊断出的 BPPV 患者数量相关的统计显着因素。在云量和 BPPV 发生率之间发现了显着的正相关。因此，云量可能与 BPPV 的发生率有关。简单相关分析显示湿度（r = 0.276，p = 0.048）、温度（r = 0.275，p = 0.049）和云量（r = 0.293，p = 0.035）与诊断的 BPPV 患者数量之间存在显着关联每个星期。多元回归分析显示，只有云量是与每周诊断出的 BPPV 患者数量相关的统计显着因素。在云量和 BPPV 发生率之间发现了显着的正相关。因此，云量可能与 BPPV 的发生率有关。简单相关分析显示湿度（r = 0.276，p = 0.048）、温度（r = 0.275，p = 0.049）和云量（r = 0.293，p = 0.035）与诊断的 BPPV 患者数量之间存在显着关联每个星期。多元回归分析显示，只有云量是与每周诊断出的 BPPV 患者数量相关的统计显着因素。在云量和 BPPV 发生率之间发现了显着的正相关。因此，云量可能与 BPPV 的发生率有关。多元回归分析显示，只有云量是与每周诊断出的 BPPV 患者数量相关的统计显着因素。在云量和 BPPV 发生率之间发现了显着的正相关。因此，云量可能与 BPPV 的发生率有关。多元回归分析显示，只有云量是与每周诊断出的 BPPV 患者数量相关的统计显着因素。在云量和 BPPV 发生率之间发现了显着的正相关。因此，云量可能与 BPPV 的发生率有关。