Evidence map›Paper›PMID 39850865›Full record

ArticleFrontiers in public health2024

Correlation between night sweats and season fluctuation in China.

Cai Chen, Meng Li, Fulai Peng, Danyang Lv, Xiao Ding, Chongxuan Tian, Weilian Ren, Xiangwei Meng, Tiefeng Sun, Yi Wang and 4 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Cai ChenShandong Institute of Advanced Technology, Chinese Academy of Sciences, Jinan, China.
Meng LiThe Second Affiliated Hospital of Shandong University of Chinese Medicine, Jinan, China.
Fulai PengShandong Institute of Advanced Technology, Chinese Academy of Sciences, Jinan, China.
Danyang LvShandong Institute of Advanced Technology, Chinese Academy of Sciences, Jinan, China.
Xiao DingAffiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, China.
Chongxuan TianBiomedical Engineering Institute, School of Control Science and Engineering, Shandong University, Jinan, China.
Weilian RenJinan Children's Hospital (Children's Hospital Affiliated to Shandong University), Jinan, China.
Xiangwei MengBiomedical Engineering Institute, School of Control Science and Engineering, Shandong University, Jinan, China.
Tiefeng SunShandong Academy of Chinese Medicine, Jinan, China.
Yi WangShandong Academy of Chinese Medicine, Jinan, China.
Haitao DuShandong Academy of Chinese Medicine, Jinan, China.
Fengxia WuSchool of Basic Medical Sciences, Shandong University, Jinan, China.
Wei LiBiomedical Engineering Institute, School of Control Science and Engineering, Shandong University, Jinan, China.
Ping WangShandong Academy of Chinese Medicine, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 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.

Indexed as

SeasonsSweatSweatingChinaHumansBaidu indexInternet search indexnight sweatseasontime series decompositionwavelet transform

Identifiers

PMID39850865
PMCPMC11754398

What OpenQuestion holds

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.