Evidence map›Paper›PMID 40574300›Full record

ArticleNoise & health

Effects of Long-Term Noise Exposure on Mental Health and Sleep Quality of Emergency Medical Staff and Coping Strategies.

Dong Ren, Ya Liu, Lingfeng Xu

Abstract read
In one paragraph

Article in Noise & health. 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

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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

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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. Review
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

3 authors.

Dong RenDepartment of Nursing, Zhoukou Polytechnic, Zhoukou, Henan, China.
Ya Liu
Lingfeng Xu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to explore the effects of long-term noise exposure on the mental health and sleep quality of medical staff in an emergency department and noise-coping strategies.

methodsIn this cross-sectional study, 126 emergency medical staff (49 doctors and 77 nurses) and 100 medical staff (40 doctors and 60 nurses) from the general inpatient department of two hospitals in China were selected as subjects. The research period was from January to October 2024. The daytime and night-time noise levels in the emergency department and general inpatient department were collected. The Symptom Checklist-90 (SCL-90) was used to assess the mental health status. The Pittsburgh Sleep Quality Index (PSQI) and polysomnography were used to evaluate sleep quality. Pearson correlation analysis was used to evaluate the correlation amongst variables.

resultsThe daytime and night-time noise-exposure levels in the emergency department were significantly higher than those in the general inpatient department (P < 0.05). The scores for somatisation, obsessive-compulsive symptoms, depression, anxiety, hostility, terror, psychoticism, PSQI and SCL-90 in the emergency department were higher than those in the general inpatient department (P < 0.05). The sleep duration and sleep efficiency of medical staff in the emergency department were significantly lower than those in the general inpatient department. The sleep latency time and awakening time were significantly higher than those in the general inpatient department (P < 0.05). Pearson correlation analysis showed that daytime noise-exposure level was positively correlated with the SCL-90 total score (r = 0.326, P < 0.001) and total PSQI score (r = 0.298, P = 0.021). Meanwhile, the night-time noise-exposure level was positively correlated with the SCL-90 total score (r = 0.435, P < 0.001), PSQI total score (r = 0.515, P < 0.001), sleep latency time (r = 0.422, P<0.001) and awakening time of emergency medical staff (r = 0.261, P < 0.001). Night-time noise exposure had negative correlations with sleep duration (r = -0.503, P < 0.001) and sleep efficiency (r = -0.293, P < 0.001).

Indexed as

Adaptation, PsychologicalMedical Staff, HospitalMental HealthNoise, OccupationalOccupational ExposureSleep QualityAdultChinaCoping SkillsCross-Sectional StudiesEmergency Service, HospitalFemaleHumansMaleMiddle Agedemergency; medical staff; mental health; occupational noise; sleep

Identifiers

PMID40574300
PMCPMC12282969

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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 Socratic graph.