Evidence map›Paper›PMID 41310321›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2025

Impact of Residential Noise Exposure on Neurological Health: A Systematic Scoping Review.

Iliria Ibrahimi Asllani, Riaz Agahi

Abstract readScoping Review
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Iliria Ibrahimi AsllaniHeimerer College, Prishtina, Kosovo.
Riaz AgahiHeimerer College, Prishtina, Kosovo. riaz.agahi@kolegji-heimerer.eu.ORCID http://orcid.org/0000-0001-5497-7886

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Noise pollution is a persistent stressor in urban settings, which affects all segments of the population. Its neurological impacts are less studied than those of hypertension, heart disease, or mental health, but there is evidence suggesting that neurological health is affected by noise pollution. We searched six databases (PubMed, EBSCO, Semantic Scholar, Web of Science, Embase, and Scopus) for studies published post-2000 that report residential noise exposure and its neurological effects. We mapped studies based on geographical location, exposure measurement, and study results. Two researchers independently screened and extracted data, and 117 distinct studies from 100 publications were included. European countries and high-income countries dominate the evidence base, and noise is most commonly modeled as 24-h exposure through L-metrics (e.g., Lden). Included studies showed mostly positive associations between noise exposure and adverse neurological outcomes, such as stroke events and mortality, neurodegenerative diseases, cognitive decline, and poorer cognitive performance in schoolchildren. There was no overall relationship between noise exposure and brain structure. While noting the heterogeneity in our included studies, it is clear that long-term noise exposure has neurological impacts. Further research is needed to understand the impact of all-source noise and how noise exposure affects the brain. Further, infrastructure for monitoring noise and population health in developing countries is needed to remedy the global imbalance in data.

Indexed as

Environmental ExposureNervous System DiseasesNoiseHumansEnvironmental healthNeurological healthNoise pollutionScoping reviewUrban health

Identifiers

PMID41310321
PMCPMC12738493

What OpenQuestion holds

Textmetadata
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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.