Seasonality of Hashimoto Thyroiditis: Infodemiology Study of Google Trends Data.

Robert Marcec, Josip Stjepanovic, Robert Likic
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Abstract

Background: Hashimoto thyroiditis (HT) is an autoimmune thyroid disease and the leading cause of hypothyroidism in areas with sufficient iodine intake. The quality-of-life impact and financial burden of hypothyroidism and HT highlight the need for additional research investigating the disease etiology with the aim of revealing potential modifiable risk factors.

Objective: Implementation of measures against such risk factors, once identified, has the potential to lessen the financial burden while also improving the quality of life of many individuals. Therefore, we aimed to examine the potential seasonality of HT in Europe using the Google Trends data to explore whether there is a seasonal characteristic of Google searches regarding HT, examine the potential impact of the countries' geographic location on the potential seasonality, and identify potential modifiable risk factors for HT, thereby inspiring future research on the topic.

Methods: Monthly Google Trends data on the search topic "Hashimoto thyroiditis" were retrieved in a 17-year time frame from January 2004 to December 2020 for 36 European countries. A cosinor model analysis was conducted to evaluate potential seasonality. Simple linear regression was used to estimate the potential effect of latitude and longitude on seasonal amplitude and phase of the model outputs.

Results: Of 36 included European countries, significant seasonality was observed in 30 (83%) countries. Most phase peaks occurred in spring (14/30, 46.7%) and winter (8/30, 26.7%). A statistically significant effect was observed regarding the effect of geographical latitude on cosinor model amplitude (y = -3.23 + 0.13 x; R2=0.29; P=.002). Seasonal increases in HT search volume may therefore be a consequence of an increased incidence or higher disease activity. It is particularly interesting that in most countries, a seasonal peak occurred in spring and winter months; when viewed in the context of the statistically significant impact of geographical latitude on seasonality amplitude, this may indicate the potential role of vitamin D levels in the seasonality of HT.

Conclusions: Significant seasonality of HT Google Trends search volume was observed in our study, with seasonal peaks in most countries occurring in spring and winter and with a significant impact of latitude on seasonality amplitude. Further studies on the topic of seasonality in HT and factors impacting it are required.

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桥本甲状腺炎的季节性:谷歌趋势数据的信息学研究
桥本甲状腺炎(HT)是一种自身免疫性甲状腺疾病,是碘摄入充足地区甲状腺功能减退的主要原因。甲状腺功能减退和HT对生活质量的影响和经济负担突出表明,需要对疾病病因进行进一步研究,以揭示潜在的可改变风险因素。一旦发现针对这些风险因素的措施,就有可能减轻经济负担,同时提高许多人的生活质量。因此,我们旨在使用谷歌趋势数据来研究欧洲HT的潜在季节性,以探索谷歌搜索是否存在HT的季节性特征,研究各国地理位置对潜在季节性的潜在影响,并确定HT的潜在可修改风险因素,从而启发未来对该主题的研究。在2004年1月至2020年12月的17年时间框架内,检索了36个欧洲国家关于搜索主题“桥本甲状腺炎”的谷歌月度趋势数据。进行了余弦模型分析以评估潜在的季节性。使用简单线性回归来估计纬度和经度对模型输出的季节振幅和相位的潜在影响。在36个被纳入的欧洲国家中,有30个(83%)国家观察到显著的季节性。大多数相位峰值出现在春季(14/30,46.7%)和冬季(8/30,26.7%)。地理纬度对余弦模型振幅的影响具有统计学意义(y=–3.23+0.13 x;R2=0.29;P=0.002)。因此,HT搜索量的季节性增加可能是发病率增加或疾病活动增加的结果。特别有趣的是,在大多数国家,季节性高峰出现在春季和冬季;从地理纬度对季节性振幅的统计显著影响来看,这可能表明维生素D水平在HT季节性中的潜在作用。在我们的研究中观察到HT谷歌趋势搜索量的显著季节性,大多数国家的季节性峰值出现在春季和冬季,纬度对季节性振幅有显著影响。需要进一步研究耐高温的季节性及其影响因素。
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