Evidence map›Paper›PMID 24866266›Full record

ArticleJournal of exposure science & environmental epidemiology2015

Assessing residential exposure to urban noise using environmental models: does the size of the local living neighborhood matter?

Quentin M Tenailleau, Nadine Bernard, Sophie Pujol, Hélène Houot, Daniel Joly, Frédéric Mauny

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
11.7field-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

7 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Community Response to Multiple Sound Sources: Integrating Acoustic and Contextual Approaches in the Analysis.International journal of environmental research and public health · 2017
    Article
  5. Article
  6. Article
  7. Noise Annoyance in Urban Children: A Cross-Sectional Population-Based Study.International journal of environmental research and public health · 2016
    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 2 institutions in 1 country.

Quentin M TenailleauLaboratoire Chrono-environnement UMR6249 Centre National de la Recherche Scientifique/Université de Franche-Comté, Besançon, France.
Nadine Bernard1] Laboratoire Chrono-environnement UMR6249 Centre National de la Recherche Scientifique/Université de Franche-Comté, Besançon, France [2] Laboratoire ThéMA UMR6049 Centre National de la Recherche Scientifique/Université de Franche-Comté, Besançon, France.
Sophie Pujol1] Laboratoire Chrono-environnement UMR6249 Centre National de la Recherche Scientifique/Université de Franche-Comté, Besançon, France [2] Centre Hospitalier Régional Universitaire de Besançon, Besançon, France.
Hélène HouotLaboratoire ThéMA UMR6049 Centre National de la Recherche Scientifique/Université de Franche-Comté, Besançon, France.
Daniel JolyLaboratoire ThéMA UMR6049 Centre National de la Recherche Scientifique/Université de Franche-Comté, Besançon, France.
Frédéric Mauny1] Laboratoire Chrono-environnement UMR6249 Centre National de la Recherche Scientifique/Université de Franche-Comté, Besançon, France [2] Centre Hospitalier Régional Universitaire de Besançon, Besançon, France.
Université de franche-comté · FRCentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental epidemiological studies rely on the quantification of the exposure level in a surface defined as the subject's exposure area. For residential exposure, this area is often the subject's neighborhood. However, the variability of the size and nature of the neighborhoods makes comparison of the findings across studies difficult. This article examines the impact of the neighborhood's definition on environmental noise exposure levels obtained from four commonly used sampling techniques: address point, façade, buffers, and official zoning. A high-definition noise model, built on a middle-sized French city, has been used to estimate LAeq,24 h exposure in the vicinity of 10,825 residential buildings. Twelve noise exposure indicators have been used to assess inhabitants' exposure. Influence of urban environmental factors was analyzed using multilevel modeling. When the sampled area increases, the average exposure increases (+3.9 dB), whereas the SD decreases (-1.6 dB) (P<0.01). Most of the indicators differ statistically. When comparing indicators from the 50-m and 400-m radius buffers, the assigned LAeq,24 h level varies across buildings from -9.4 to +22.3 dB. This variation is influenced by urban environmental characteristics (P<0.01). On the basis of this study's findings, sampling technique, neighborhood size, and environmental composition should be carefully considered in further exposure studies.

Indexed as

NoiseEnvironmental ExposureEnvironmental MonitoringHumansModels, StatisticalResidence CharacteristicsUrban Population

Identifiers

PMID24866266
OpenAlexW2023919286

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.