Evidence map›Paper›PMID 32509988›Full record

ArticleHeliyon2020

Meteorological rhythms of respiratory and circulatory diseases revealed by Harmonic Analysis.

Pan Ma, Shigong Wang, Ji Zhou, Tanshi Li, Xingang Fan, Jin Fan, Siyi Wang

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 36% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Relationship between Depressive Symptoms and Weather Conditions.International journal of environmental research and public health · 2022
    Article
  2. 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

7 authors at 3 institutions in 2 countries.

Pan MaInstitute of Environmental Meteorology and Health, College of Atmospheric Science, Chengdu University of Information Technology, Chengdu 610225, Sichuan, China.
Shigong WangInstitute of Environmental Meteorology and Health, College of Atmospheric Science, Chengdu University of Information Technology, Chengdu 610225, Sichuan, China.
Ji ZhouShanghai Key Laboratory of Meteorology and Health, Shanghai Meteorological Bureau, Shanghai 200030, China.
Tanshi LiChinese PLA General Hospital, Beijing 100000, China.
Xingang FanDepartment of Geography and Geology, Western Kentucky University, Bowling Green, KY, 42101, USA.
Jin FanInstitute of Environmental Meteorology and Health, College of Atmospheric Science, Chengdu University of Information Technology, Chengdu 610225, Sichuan, China.
Siyi WangInstitute of Environmental Meteorology and Health, College of Atmospheric Science, Chengdu University of Information Technology, Chengdu 610225, Sichuan, China.
Chengdu University of Information Technology · CNChinese PLA General Hospital · CNShanghai Meteorological Bureau · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The intricately fluctuating onset of respiratory and circulatory diseases displays rhythms of multi-scaled meteorological conditions due to their sensitivity to weather changes. The intrinsic meteorological rhythms of these diseases are revealed in this bio-meteorological study via Fourier decomposition and harmonic analysis. Daily emergency room (ER) visit data for respiratory and circulatory diseases from three comprehensive hospitals in Haidian district of Beijing, China were used in the analysis. Meteorological data included three temperature metrics, relative humidity, sunshine duration, daily mean air pressure, and wind speed. The Fourier decomposition and harmonic analysis on ER visits and meteorological variables involve frequency, period, and power of all harmonics. The results indicated that: i) for respiratory morbidity, a strong climatic annual rhythm responding to annual temperature change was firstly revealed; its ratio of spectral density was 16-33%. Moreover, significant correlations existed between the high-frequency fluctuations (<30 d) of morbidity and short-term harmonics of humidity and solar duration. High-frequency harmonics of temperature and pressure showed no statistically significant effect. ii) With regard to all types of circulatory morbidity, their annual periodicity was weaker than that of respiratory diseases, whose harmonic energy took a ratio less than 8%. Besides, the power of all high-frequency harmonics of circulatory morbidity accounted for up to 70-90% in the original sequences, and their relationship to many short-term meteorological factors were significant, including the mean and maximum temperatures, wind speed, and solar duration. iii) The weekly rhythm appeared in respiratory ER visits with 15% of harmonic variance but not prominent in circulatory morbidity. In summary, by decomposing the sequence of respiratory and circulatory diseases as well as recognizing their meteorological rhythms, different responses to meteorological conditions on various time scales were identified.

Indexed as

Chronic diseaseCirculatory systemClimatic cycleClimatologyEnvironmental healthEnvironmental scienceEpidemiologyFourier decompositionHarmonic spectrumMeteorologyRespiratory systemShort-term weather

Identifiers

PMID32509988
PMCPMC7264065
OpenAlexW3029400642

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.