Cai Chen ¹ Meng Li ^2* Fulai Peng ^1* Danyang Lv ^1* Chongxuan Tian ³ Xiangwei Meng ^3* Tiefeng Sun ⁴ Fengxia Wu ^3* Wei Li ^3* Ping Wang ^4* Xiao Ding ⁵ Weilian Ren ^6* Yi Wang ^4* Haitao Du ⁴

• ¹ Shandong Institute of Advanced Technology, Chinese Academy of Sciences, Jinan, China
• ² Second Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong Province, China
• ³ Shandong University, Jinan, Shandong Province, China
• ⁴ Shandong Academy of Chinese Medicine, Jinan, Shandong Province, China
• ⁵ Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong Province, China
• ⁶ Jinan Children's Hospital, Jinan, Shandong Province, China

Background: Night sweats are a condition in which an individual sweats excessively during sleep without awareness, and stops when they wake up. Prolonged episodes of night sweats might result in the depletion of trace elements and nutrients, affecting the growth and development of children. Purpose: To investigate the relationship between sweat nights and season. Method: The Internet search index for night sweats in Zhengzhou, China was obtained from the Baidu index during 2011-2022. Meteorological factors, including ambient temperature, humidity, pressure, precipitation and average wind speed in Zhengzhou were obtained from the website https://en.tutiempo.net/climate. A time series decomposition model was used to study the relationship between night sweats and seasonality. Continuous wavelet transform and cross wavelet transform were utilized to explore the relationship between night sweats and meteorological factors. Result: A typical periodic pattern is evident in the seasonal trend. Specifically, following a peak in January each year, there is a rapid decline followed by a secondary peak, after which a trough occurs. The search index of night sweats increased rapidly in the first stage, slowed down in the second stage, and showed negative growth from 2011 to 2014. The correlation coefficients between the search index for night sweats and atmospheric pressure pressure as well as average temperature, are 0.25 and -0.26, respectively. Conclusion: Night sweat was connected with season. Specifically, the number of night sweat search index increased in the cold season and declined in the summer season. Night sweat was negatively connected with temperature but favorably correlated with air pressure.