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头痛和鼻炎：17 年来在 Google Trends 上的模式搜索。

Headache and rhinitis: pattern search on Google Trends for 17 years.

机构信息

Faculdade Israelita de Ciências da Saúde Albert Einstein, Hospital Israelita Albert Einstein, São Paulo, SP, Brazil.

Brown University, Providence, RI, United States.

出版信息

Einstein (Sao Paulo). 2022 May 6;20:eAO6224. doi: 10.31744/einstein_journal/2022AO6224. eCollection 2022.

DOI:10.31744/einstein_journal/2022AO6224
PMID:35584440
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9060642/
Abstract

OBJECTIVE

Headache and rhinitis are highly prevalent and comorbid. The objective of the present study is to analyze the correlation of headache and rhinitis, in addition to the temporal pattern of these diseases in 17 years, using the Google Trends platform.

METHODS

Google Trends was searched from January 2004 to June 2021, using the entry: ["rinite" (rhinitis) + "dor de cabeça" (headache)" + "Alzheimer" + "enxaqueca" (migraine)]. Migraine, primary headache, and Alzheimer's, with no clear relation with headache, were used as controls. After the descriptive analysis by dispersion diagrams, Pearson's test and a simple regression model were performed. Subsequently, this study analyzed the seasonality of the volume of research on rhinitis and headache.

RESULTS

A strong correlation between rhinitis and headache (0.86) was found in the time interval analyzed. In addition, a seasonality was identified in the volume of searches for the term rhinitis with increased volume in the fall and peaks in the month of May, with a decrease in the spring and early summer. Moreover, an increase of searches on headache was observed, suggesting worse burden of this pathology.

CONCLUSION

Headaches and rhinitis were correlated in 17 years of research on the Google Trends platform. Circannual variation of both conditions was observed. Additional studies with digital research may be useful to better understand the epidemiology and comorbidities of headache.

摘要

目的

头痛和鼻炎的发病率高且常并发。本研究的目的是利用 Google Trends 平台分析头痛和鼻炎之间的相关性，以及这两种疾病在 17 年中的时间模式。

方法

从 2004 年 1 月至 2021 年 6 月，使用以下条目在 Google Trends 上进行搜索：["rinite" (鼻炎) + "dor de cabeça" (头痛) + "Alzheimer" + "enxaqueca" (偏头痛)]。偏头痛、原发性头痛和阿尔茨海默病与头痛无明显关系，作为对照。在进行了分散图描述性分析后，进行了 Pearson 检验和简单回归模型分析。随后，本研究分析了鼻炎和头痛研究量的季节性。

结果

在所分析的时间间隔内，发现鼻炎和头痛之间存在很强的相关性（0.86）。此外，还确定了鼻炎搜索量的季节性，秋季搜索量增加，5 月达到峰值，春季和初夏减少。此外，头痛的搜索量也有所增加，表明该病理的负担加重。

结论

在 Google Trends 平台上对 17 年的研究发现，头痛和鼻炎之间存在相关性。这两种疾病均呈年循环变化。可能需要更多的数字研究来更好地了解头痛的流行病学和共病性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95f/9060642/174197e1927f/2317-6385-eins-20-eAO6224-gf04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95f/9060642/f5fa492c7c3c/2317-6385-eins-20-eAO6224-gf01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95f/9060642/26648895a7c3/2317-6385-eins-20-eAO6224-gf02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95f/9060642/583dbdee7107/2317-6385-eins-20-eAO6224-gf03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95f/9060642/174197e1927f/2317-6385-eins-20-eAO6224-gf04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95f/9060642/f5fa492c7c3c/2317-6385-eins-20-eAO6224-gf01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95f/9060642/26648895a7c3/2317-6385-eins-20-eAO6224-gf02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95f/9060642/583dbdee7107/2317-6385-eins-20-eAO6224-gf03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e95f/9060642/174197e1927f/2317-6385-eins-20-eAO6224-gf04.jpg

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