Evidence map›Paper›PMID 32588301›Full record

ArticleEnvironmental science and pollution research international2020

Exposure assessment to road traffic noise levels and health effects in an arid urban area.

Patrick Amoatey, Hamid Omidvarbona, Mahad Said Baawain, Ahmed Al-Mayahi, Abdullah Al-Mamun, Issa Al-Harthy

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
8.2field-weighted citation impact, top 2% 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

8 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Article
  3. An approach to the design of photovoltaic noise barriers and a case study from Istanbul, Turkey.Environmental science and pollution research international · 2022
    Article
  4. Pavement maintenance management framework for flexible roads: a case study of Pakistan.Environmental science and pollution research international · 2022
    Article
  5. Effect of ambient noise on indoor environments in a health care facility in Oman.Environmental science and pollution research international · 2022
    Article
  6. Effect of COVID-19 lockdown on noise pollution levels in an Indian city: a case study of Kanpur.Environmental science and pollution research international · 2021
    Article
  7. Article
  8. 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

6 authors at 1 institution in 2 countries.

Patrick AmoateyDepartment of Civil and Architectural Engineering, College of Engineering, Sultan Qaboos University, P.O. Box 33, Al-Khoudh, P.C. 123, Muscat, Sultanate of Oman.
Hamid OmidvarbonaDepartment of Civil and Architectural Engineering, College of Engineering, Sultan Qaboos University, P.O. Box 33, Al-Khoudh, P.C. 123, Muscat, Sultanate of Oman.
Mahad Said BaawainDepartment of Civil and Architectural Engineering, College of Engineering, Sultan Qaboos University, P.O. Box 33, Al-Khoudh, P.C. 123, Muscat, Sultanate of Oman. mahad@imco.edu.om.
Ahmed Al-MayahiDepartment of Soils, Water and Agricultural Engineering, College of Agriculture, Sultan Qaboos University, P.O. Box 34, Al-Khoudh, P.C. 123, Muscat, Sultanate of Oman.
Abdullah Al-MamunDepartment of Civil and Architectural Engineering, College of Engineering, Sultan Qaboos University, P.O. Box 33, Al-Khoudh, P.C. 123, Muscat, Sultanate of Oman.
Issa Al-HarthyDepartment of Civil and Architectural Engineering, College of Engineering, Sultan Qaboos University, P.O. Box 33, Al-Khoudh, P.C. 123, Muscat, Sultanate of Oman.
Sultan Qaboos University · OM

Funding

Sultan Qaboos University CR/ENG/CAED/16/04
6 · The paper itself

Abstract

Road traffic noise exposures have been recognized as serious environmental health concerns, especially in most developing countries with arid climate conditions, rapid increase in vehicle population, and limited traffic management systems. The excessive noise exposure level is associated with increase in the incidence of cardiovascular diseases and anxiety, including annoyance. This study aimed at determining traffic noise levels in residential areas, including the assessment of its annoyance and health effects based on the people's perception and reportage. To do so, field measurement and traffic noise modeling were carried out in six road points to estimate the current noise levels along various roads close to human inhabitants in Muscat Governorate, Sultanate of Oman. The detailed measured noise levels in urban residential areas across the selected roads showed that noise levels have exceeded the local and international threshold limits at all locations during the entire day. The high sound levels (48.0-56.3 dBA) were observed using the US Federal Highway Administration's Traffic Noise Model (TNM, version 2.5) results, which were in agreement with the observed (56.3-60.4 dBA) data. To assess health implication to residents through interviews (n = 208), annoyance at home was found to be little (32%), moderate (28%), and high (9%) in comparison with workplace settings of 42%, 43%, and 15%, respectively. Nineteen percent of the interviewees had difficulties in sleeping, while 19.8% experienced stress due to road traffic noise exposures. Moreover, a strong association (p < 0.05) was established between the use and objection of noise barriers. The study revealed high noise levels and the prevalence of annoyance and health effects among the exposed population. Therefore, immediate action is required to tackle the current noise levels.

Indexed as

Noise, TransportationEnvironmental ExposureEnvironmental HealthHumansIncidenceOmanAnnoyanceField measurementHealth effectsNoise modelRoad trafficTraffic noise pollution

Identifiers

PMID32588301
OpenAlexW3037880338

What OpenQuestion holds

Textmetadata
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.