Evidence map›Paper›PMID 41087428›Full record

ArticleScientific reports2025

Empirical study on the effect of single insect sounds on human perception based on pressure and engagement indicators.

Jie Zhang, Jing Zuo, Tengfei Hui, Shiyu Song, Zhi Yang

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
–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

2 citing papers in PubMed.

  1. 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

5 authors.

Jie ZhangForestry College, Beihua University, Jilin, 132103, China.
Jing ZuoForestry College, Beihua University, Jilin, 132103, China.
Tengfei HuiForestry College, Beihua University, Jilin, 132103, China.
Shiyu SongForestry College, Beihua University, Jilin, 132103, China.
Zhi YangForestry College, Beihua University, Jilin, 132103, China. bhdx_yz@beihua.edu.cn.

Funding

Beihua University Graduate Innovation Program [2023] 059China's Ministry of Science and Technology 2021FY100802-04Jilin Province Science and Technology Department Natural Science Fund YDZJ202501ZYTS534Jilin Provincial Department of Education Natural Science Research Project JJKH20250815KJNational Natural Science Foundation of China Project 32572152Private Fund Project of Beihua University 320121060
6 · The paper itself

Abstract

The chirping of insects is an important component of the soundscape in forest parks and has significant physiological effects on human perception. In this study, utilized electroencephalography (EEG) to analyze the responses of 30 university students to the sounds of six types of insects in a northeastern forest park. The results indicated that the physical parameters of the sounds of a single insect, such as the frequency (T6. α2: p = 0.046) and amplitude (T5. α2: p = 0.041), can reduce perceived stress and promote relaxation. However, regression statistical data showed that as the frequency and amplitude of insect chirps increased, people's engagement in work decreased (T4.β2/(α1 + θ): p = 0.049, T4.β2/(α2 + θ): p = 0.016), and their attention to work was distracted (T4.β1/α2: p = 0.004, p = 0.003). Additionally, demographic characteristics such as sex, educational level, and living environment also impacted the perception of sounds. Males, undergraduates, and rural residents were more sensitive to these auditory stimuli than females, postgraduates, and urban residents.

Indexed as

Auditory PerceptionInsectaSoundAcoustic StimulationAdultAnimalsElectroencephalographyFemaleHumansMaleYoung AdultElectroencephalogram (EEG)Engagement index (EI)Insect soundStress perception

Identifiers

PMID41087428
PMCPMC12521564

What OpenQuestion holds

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Registered trials

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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.