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草花粉浓度与花粉过敏患者的身体症状以及日常生活中的功能障碍之间的关联。

Association of grass pollen concentration and physical symptoms as well as impairments in day-to-day life in pollen allergy patients.

作者信息

Landesberger V, Huß J, Grenzebach K, Nowak D, Gröger M, Oppel E, Schaub B, French L E, Kutzora S, Quartucci C, Herr C, Heinze S

机构信息

Bavarian Health and Food Safety Authority, Munich, Oberschleißheim, Erlangen, Germany.

Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Munich, Germany.

出版信息

Sci Rep. 2025 May 28;15(1):18685. doi: 10.1038/s41598-025-02462-5.

Abstract

Allergic diseases are a major global public health issue, profoundly impacting the daily lives of millions of people worldwide. The aim of this study is to investigate the association between daily grass pollen concentration and daily physical symptoms as well as impairments in day-to-day life in pollen allergy patients in Bavaria, Germany over a period of three-months. Pollen data of the pollen season 2022 were obtained from the electronic pollen information network of Bavaria. We used an app-based questionnaire and developed an index to measure physical symptoms-regarding eyes and nose as well as impairments in day-to-day life including performance, sleep quality and daily activities. For our analyses we used data from 53 patients. The associations were analysed using linear mixed models (LMM). We found a statistically significant association between the level of grass pollen concentration and both the index physical symptoms (β = 0.002; p < 0.001) and the index impairments in day-to-day life (β = 0.00064; p < 0.048). It is important that patients are well informed about the pollen count as well as their physical symptoms and daily life impairments so that they can manage their allergies effectively and appropriately.

摘要

过敏性疾病是一个重大的全球公共卫生问题,深刻影响着全球数百万人的日常生活。本研究的目的是调查德国巴伐利亚州花粉过敏患者在三个月期间每日草花粉浓度与每日身体症状以及日常生活受损之间的关联。2022年花粉季节的花粉数据来自巴伐利亚州的电子花粉信息网络。我们使用了一个基于应用程序的问卷,并开发了一个指数来衡量眼部和鼻部的身体症状以及日常生活中的受损情况,包括表现、睡眠质量和日常活动。在分析中,我们使用了53名患者的数据。使用线性混合模型(LMM)分析这些关联。我们发现草花粉浓度水平与身体症状指数(β = 0.002;p < 0.001)和日常生活受损指数(β = 0.00064;p < 0.048)之间存在统计学上的显著关联。重要的是,要让患者充分了解花粉计数以及他们自己的身体症状和日常生活受损情况,以便他们能够有效且适当地管理自己的过敏症状。

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