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Record W2034930145 · doi:10.7759/cureus.183

Systematic Review 2013: Association between Wind Turbines and Human Distress

2014· article· en· W2034930145 on OpenAlexaff
Ian Arra, Hazel Lynn, Kimberley Barker, Chiebere Ogbuneke, Sophie M. Regalado

Bibliographic record

VenueCureus · 2014
Typearticle
Languageen
FieldHealth Professions
TopicNoise Effects and Management
Canadian institutionsNOSM University
Fundersnot available
KeywordsMedicinePsycINFODistressWind powerCochrane LibraryAssociation (psychology)PopulationMEDLINEMeta-analysisClinical psychologyEnvironmental healthInternal medicinePsychologyEngineering

Abstract

fetched live from OpenAlex

Background and Objectives: The proximity of wind turbines to residential areas has been associated with a higher level of complaints compared to the general population. The study objective was to search the literature investigating whether an association between wind turbines and human distress exists. Methods: A systematic search of the following databases (EMBASE, PubMed, OvidMedline, PsycINFO, The Cochrane Library, SIGLE, and Scirus) and screening for duplication led to the identification of 154 studies. Abstract and full article reviews of these studies led to the identification of 18 studies that were eligible for inclusion as they examined the association of wind turbines and human distress published in peer-review journals in English between 2003-2013. Outcome measures, including First Author, Year of Publication, Journal Name, Country of Study, Study Design, Sample Size, Response Rate, Level of Evidence, Level of Potential Bias, and Outcome Measures of Study, were captured for all studies. After data extraction, each study was analyzed to identify the two primary outcomes: Quality of Study and Conclusion of Study Effect. Results: All peer-reviewed studies captured in our review found an association between wind turbines and human distress. These studies had levels of evidence of four and five. Two studies showed a dose-response relationship between distance from wind turbines and distress, and none of them concluded no association. Conclusions: In this review, we have demonstrated the presence of reasonable evidence (Level Four and Five) that an association exists between wind turbines and distress in humans. The existence of a dose-response relationship (between distance from wind turbines and distress) and the consistency of association across studies found in the scientific literature argues for the credibility of this association. Future research in this area is warranted as to whether or not a causal relationship exists.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.360
Threshold uncertainty score0.290

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.026
GPT teacher head0.382
Teacher spread0.356 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2014
Admission routes1
Has abstractyes

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