Evidence map›Paper›PMID 27509512›Full record

ArticleInternational journal of environmental research and public health2016

The Covariance between Air Pollution Annoyance and Noise Annoyance, and Its Relationship with Health-Related Quality of Life.

Daniel Shepherd, Kim Dirks, David Welch, David McBride, Jason Landon

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Sensitivity of a Dynamic Model of Air Traffic Emissions to Technological and Environmental Factors.International journal of environmental research and public health · 2022
    Article
  7. Citizens' Perception on Air Quality in Portugal-How Concern Motivates Awareness.International journal of environmental research and public health · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Liability allocation in pollution involving multiple responsible parties.Environmental science and pollution research international · 2020
    Article
  13. Article
  14. Insomnia associated with traffic noise and proximity to traffic-a cross-sectional study of the Respiratory Health in Northern Europe III population.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2020
    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.

Daniel ShepherdSchool of Public Health, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand. daniel.shepherd@aut.ac.nz.
Kim DirksSchool of Population Health, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand. k.dirks@auckland.ac.nz.
David WelchSchool of Population Health, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand. d.welch@auckland.ac.nz.
David McBrideDepartment of Preventive & Social Medicine, University of Otago, P.O. Box 56, Dunedin 9054, New Zealand. david.mcbride@otago.ac.nz.
Jason LandonSchool of Public Health, Auckland University of Technology, Private Bag 92006, Auckland 1142, New Zealand. jason.landon@aut.ac.nz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Air pollution originating from road traffic is a known risk factor of respiratory and cardiovascular disease (both in terms of chronic and acute effects). While adverse effects on cardiovascular health have also been linked with noise (after controlling for air pollution), noise exposure has been commonly linked to sleep impairment and negative emotional reactions. Health is multi-faceted, both conceptually and operationally; Health-Related Quality of Life (HRQOL) is one of many measures capable of probing health. In this study, we examine pre-collected data from postal surveys probing HRQOL obtained from a variety of urban, suburban, and rural contexts across the North Island of New Zealand. Analyses focus on the covariance between air pollution annoyance and noise annoyances, and their independent and combined effects on HRQOL. Results indicate that the highest ratings of air pollution annoyance and noise annoyances were for residents living close to the motorway, while the lowest were for rural residents. Most of the city samples indicated no significant difference between air pollution- and noise-annoyance ratings, and of all of the correlations between air pollution- and noise-annoyance, the highest were found in the city samples. These findings suggest that annoyance is driven by exposure to environmental factors and not personality characteristics. Analysis of HRQOL indicated that air pollution annoyance predicts greater variability in the physical HRQOL domain while noise annoyance predicts greater variability in the psychological, social and environmental domains. The lack of an interaction effect between air pollution annoyance and noise annoyance suggests that air pollution and noise impact on health independently. These results echo those obtained from objective measures of health and suggest that mitigation of traffic effects should address both air and noise pollution.

Indexed as

Environmental ExposurePersonal SatisfactionQuality of LifeAdolescentAdultAgedAged, 80 and overAir PollutionFemaleHumansMaleMiddle AgedNew ZealandNoiseYoung Adultair pollutioncovarianceenvironmental noisehealth related quality of life (HRQOL)noise annoyancetraffic

Identifiers

PMID27509512
PMCPMC4997478

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.