Evidence map›Paper›PMID 29981033›Full record

ArticleCanadian journal of public health = Revue canadienne de sante publique2018

Derivation and application of a composite annoyance reaction construct based on multiple wind turbine features.

David S Michaud, Leonora Marro, James McNamee

Abstract read
In one paragraph

Article in Canadian journal of public health = Revue canadienne de sante publique, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. The influence of wind turbine visibility on the health of local residents: a systematic review.International archives of occupational and environmental health · 2019
    Pooled it
  2. Review
  3. Health Effects Related to Wind Turbine Sound: An Update.International journal of environmental research and public health · 2021
    Review
  4. 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

3 authors.

David S MichaudConsumer & Clinical Radiation Protection Bureau, Non-Ionizing Radiation Health Sciences Division, Environmental and Radiation Health Sciences Directorate, Health Canada, 775 Brookfield Road, Ottawa, ON, K1A 1C1, Canada. david.michaud@canada.ca.
Leonora MarroEnvironmental Health Science and Research Bureau, Population Studies Division, Biostatistics Section, Health Canada, Ottawa, ON, K1A 0K9, Canada.
James McNameeConsumer & Clinical Radiation Protection Bureau, Non-Ionizing Radiation Health Sciences Division, Environmental and Radiation Health Sciences Directorate, Health Canada, 775 Brookfield Road, Ottawa, ON, K1A 1C1, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesNoise emissions from wind turbines are one of multiple wind turbine features capable of generating annoyance that ranges in magnitude from not at all annoyed to extremely annoyed. No analysis to date can simultaneously reflect the change in all magnitudes of annoyance toward multiple wind turbine features. The primary objective in this study was to use principal component analysis (PCA) to provide a single construct for overall annoyance to wind turbines based on reactions to noise, blinking lights, shadow flicker, visual impacts, and vibrations evaluated as a function of proximity to wind turbines.

methodsThe analysis was based on data originally collected as part of Health Canada's cross-sectional Community Noise & Health Study (CNHS). One adult participant (18-79 years), randomly selected from dwellings in Ontario (ON) (n = 1011) and Prince Edward Island (PEI) (n = 227), completed an in-person questionnaire. Content relevant to the current analysis included the annoyance responses to wind turbines.

resultsThe first construct tested in the PCA explained 58-69% of the variability in total annoyance. Reduced distance to turbines was associated with elevated aggregate annoyance scores among ON and PEI participants. In the ON sample, aggregate annoyance was effectively absent in areas beyond 5 km (mean 0.12; 95% CI 0.00, 1.19), increasing significantly between (2 and 5] km (mean 2.13; 95% CI 0.92, 3.33), remaining elevated, but with no further increase until (0.550-1] km (mean 3.37; 95% CI 3.02, 3.72). At ≤ 0.550 km, the average overall annoyance was 3.36 (95% CI 2.03, 4.69). In PEI, aggregate annoyance was essentially absent beyond 1 km; i.e., (1-2] km (mean 0.21; 95% CI 0.00, 0.88); (2-5] km (mean 0.00; 95% CI 0.00, 1.37); > 5 km (mean 0.00; 95% CI 0.00, 1.58). Annoyance significantly increased in areas between (0.550 and 1] km (mean 1.59; 95% CI 1.02, 2.15) and was highest within 550 m (mean 4.25; 95% CI 3.34, 5.16).

conclusionThe advantages and disadvantages to an aggregated annoyance analysis, including how it should not yet be considered a substitute for relationships based on changes in high annoyance, are discussed.

Indexed as

AttitudeEnergy-Generating ResourcesWindAdolescentAdultAgedCanadaCross-Sectional StudiesFemaleHumansMaleMiddle AgedNoiseResidence CharacteristicsSurveys and QuestionnairesYoung AdultCommunity surveysNoisePrincipal component analysisRenewable energy

Identifiers

PMID29981033
PMCPMC6019414

What OpenQuestion holds

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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.