Background Though snoring is often regarded as a harmless condition that coincides with sound sleep, it is a sleep disorder that can be a potential indicator of more severe conditions such as sleep apnea syndrome. In the present study, we investigated the association between seasonal variations and snoring. Method Search index for snoring (SIS) data were obtained from Google Trends and Baidu Index. SIS data were collected for the USA, India, Germany, Russia, Japan, Australia, China, and Brazil from 2011 to 2020, with the periodicity of the relationship between seasonal time series data and snoring evaluated using a time series decomposition model. Result The highest average SIS growth rates from 2011 to 2020 were observed for Brazil, Japan, and Germany, with average SIS values of 94%, 68%, and 49%, respectively. The SIS of the USA, Russia, Japan, Brazil, Australia, Germany, and India increased by 22.3%, 12.4%, 11.9%, 35.4%, 12.3%, 28.0%, and 55.8%, respectively, in comparison with their SIS values in 2019, whereas for China, it decreased by 13.7%. Relative to countries in the southern hemisphere, those in the northern hemisphere showed comparable SIS trends, increasing from September to February and decreasing from March to August. Conclusion The SIS data showed cyclical changes over the study period. The search index for snoring increased during the cold season or the heating season, suggesting that snoring is associated with seasonal changes.
Asthma has become a serious global public health issue affecting approximately 14% of children worldwide. Asthma patients often accompany various mental disorders, such as depression, anxiety, and panic attacks, which could aggravate asthma symptoms. It can be summarized that in addition to pathological cellular and molecular immune processes, asthma also has a neural phenotype. The first part of this review summarizes the prevalence and economic burden of asthma in recent years. Then, the neurophenotype of asthma is described in terms of brain structural changes, molecular expression, and prevalence. Our literature search shows that the frontal lobe plays an essential role in asthma-related neurophenotypes. Finally, we assume that an electroencephalogram signal could be one of the directions of asthma neurophenotype diagnosis.
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