Changes in quality of life and perceptions of general health before and after operation of wind turbines

Long-term wind turbine noise exposure and the risk of incident atrial fibrillation in the Danish Nurse cohort

BACKGROUND

The potential health effects related to wind turbine noise (WTN) have received increased focus during the past decades, but evidence is sparse. We examined the association between long-term exposure to wind turbine noise and incidence of atrial fibrillation (AF).

METHODS

First ever hospital admission of AF amongst 28,731 female nurses in the Danish Nurse Cohort were identified in the Danish National Patient register until ultimo 2013. WTN levels at residential addresses between 1982 and 2013 were estimated using the Nord2000 noise propagation model, as the annual means of L_den, L_day, L_evening and L_night at the most exposed façade. Time-varying Cox proportional hazard regression models were used to examine the association between the 11-, 5- and 1-year rolling means of WTN levels and AF incidence.

RESULTS

1430 nurses developed AF by end of follow-up in 2013. Mean (standard deviation) baseline residential noise levels amongst exposed nurses were 26.3 (6.7) dB and slightly higher in those who developed AF (27.3 (7.31) dB), than those who didn't (26.2 (6.6)). We observed a 30% statistically significant increased risk (95% CI: 1.05-1.61) of AF amongst nurses exposed to long-term (11-year running mean) WTN levels ≥20 dB(A) at night compared to nurses exposed to levels <20 dB(A). Similar effects were observed with day (HR 1.25; 95% CI: 1.01-1.54), and evening (HR 1.25; 95% CI: 1.01-1.54) noise levels.

CONCLUSIONS

We found suggestive evidence of an association between long-term exposure to WTN and AF amongst female nurses. However, interpretation should be cautious as exposure levels were low.

Impact of Long-Term Exposure to Wind Turbine Noise on Redemption of Sleep Medication and Antidepressants: A Nationwide Cohort Study

BACKGROUND

Noise from wind turbines (WTs) is associated with annoyance and, potentially, sleep disturbances.

OBJECTIVES

Our objective was to investigate whether long-term WT noise (WTN) exposure is associated with the redemption of prescriptions for sleep medication and antidepressants.

METHODS

For all Danish dwellings within a radius of [Formula: see text] heights and for 25% of randomly selected dwellings within a radius of [Formula: see text] heights, we estimated nighttime outdoor and low-frequency (LF) indoor WTN, using information on WT type and simulated hourly wind. During follow-up from 1996 to 2013, 68,696 adults redeemed sleep medication and 82,373 redeemed antidepressants, from eligible populations of 583,968 and 584,891, respectively. We used Poisson regression with adjustment for individual and area-level covariates.

RESULTS

Five-year mean outdoor nighttime WTN of [Formula: see text] was associated with a hazard ratio (HR) = 1.14 [95% confidence interval (CI]: 0.98, 1.33) for sleep medication and HR = 1.17 (95% CI: 1.01, 1.35) for antidepressants (compared with exposure to WTN of [Formula: see text]). We found no overall association with indoor nighttime LF WTN. In age-stratified analyses, the association with outdoor nighttime WTN was strongest among persons [Formula: see text] of age, with HRs (95% CIs) for the highest exposure group ([Formula: see text]) of 1.68 (1.27, 2.21) for sleep medication and 1.23 (0.90, 1.69) for antidepressants. For indoor nighttime LF WTN, the HRs (95% CIs) among persons [Formula: see text] of age exposed to [Formula: see text] were 1.37 (0.81, 2.31) for sleep medication and 1.34 (0.80, 2.22) for antidepressants.

CONCLUSIONS

We observed high levels of outdoor WTN to be associated with redemption of sleep medication and antidepressants among the elderly, suggesting that WTN may potentially be associated with sleep and mental health. https://doi.org/10.1289/EHP3909.

Health effects of wind turbines on humans in residential settings: Results of a scoping review

INTRODUCTION

As the global number of wind turbines has increased steadily in recent years, as has the number of studies about putative health effects in residential settings, it is the review purpose to give an overview of the characteristics and methodologies of the scientific literature around the topic in order to identify research gaps and to derive implications for research and practice. Additionally, study findings from higher-quality observational studies as well as results that seem to be of interest for the scientific and political debate are presented.

METHODS

The scoping review was conducted following systematic review methods. Comprehensive literature searches were carried out in several databases, and with extensive hand searches. All review steps were carried out in parallel by two reviewers or by one reviewer and in duplicate checked by another reviewer. The following important methodological criteria were investigated: Reporting, ethical aspects, generalization, selection bias, information bias, confounder bias. Findings from observational studies without a selection bias, information bias, and confounder bias are presented.

RESULTS

84 articles, that varied significantly in methods and outcomes assessed, met the inclusion criteria. Multiple cross-sectional studies reported that wind turbine noise is associated with noise annoyance, which is moderated by several variables such as noise sensitivity, attitude towards wind turbines, or economic benefit. Wind turbine noise is not associated with stress effects and biophysiological variables of sleep. Results on the impact of wind turbine noise on sleep disburbance, quality of life, and mental health problems differed among cross-sectional studies. There were few studies that addressed the potential impact of turbine noise on clinically apparent health outcomes. There were also few studies on visual risk factors or infrasound exposure. No literature was identified regarding low-frequency noise, electromagnetic radiation, and ice throw.

CONCLUSIONS

There is an extensive and diverse body of evidence around health impacts of wind turbines in residential settings, that increased sharply since 2010, showing particularly noise consequences concerning increased noise annoyance with its complex pathways; no relationship between wind turbine noise and stress effects and biophysiological variables of sleep; and heterogeneous findings concerning sleep disturbance, quality of life, as well as mental health problems. Research gaps concern the complex pathways of annoyance, the examination of clinically apparent health outcomes in comparison with non-exposed residents, an objective investigation of visual wind turbine features, the interaction between all wind turbine exposures, and epidemiological observational studies on field low-frequency and infrasound from wind turbines. Future research needs thorough high-quality and prospective study designs.

The influence of wind turbine visibility on the health of local residents: a systematic review

PURPOSE

The health effects of visible wind turbine features on residents were investigated. Further, it was examined, if visual annoyance has an influence on residents' health, and if wind turbine visibility impacts residents' health independently of or in combination with acoustical aspects.

METHODS

Medical databases, Google Scholar, public health institutions, and reference lists were searched systematically (PROSPERO registry number: CRD42016041737). Two independent reviewers screened titles/abstract and full texts, extracted data, and critically appraised the methodology of included studies. Study findings were analyzed qualitatively and quantitatively.

RESULTS

Seventeen studies from 19 publications of varying methodological quality were included (two cohort studies, fifteen cross-sectional studies). The pooled prevalence of high annoyance due to altered views and shadow flicker was 6% each. The results of other health effects were inconsistent, with some indications showing that direct wind turbine visibility increases sleep disturbance. Annoyance by direct visibility, shadow flicker, and blinking lights was significantly associated with an increased risk for sleep disorders. One study indicated reactions to visual wind turbine features may be influenced by acoustical exposures.

CONCLUSIONS

In interpreting the results, the differing methodological quality of the included studies needs to be considered. Direct and indirect wind turbine visibility may affect residents' health, and reactions may differ in combination with noise. Further, annoyance by wind turbine visibility may interact as mediator between visual exposures and the health of local residents. To confirm the results, more high-quality research is needed.

Long-term wind turbine noise exposure and incidence of myocardial infarction in the Danish nurse cohort

BACKGROUND

Growing evidence supports the concept that traffic noise exposure leads to long-term health complications other than annoyance, including cardiovascular disease. Similar effects may be expected from wind turbine noise exposure, but evidence is sparse. Here, we examined the association between long-term exposure to wind turbine noise and incidence of myocardial infarction (MI).

METHODS

We used the Danish Nurse Cohort with 28,731 female nurses and obtained data on incidence of MI in the Danish National Patient and Causes of Death Registries until ultimo 2013. Wind turbine noise levels at residential addresses between 1982 and 2013 were estimated using the Nord2000 noise propagation model, as the annual means of a weighted 24-hour average (L_den) at the most exposed façade. Time-varying Cox proportional hazard regression was used to examine the association between the 11-, 5- and 1-year rolling means prior to MI diagnosis of wind turbine noise levels and MI incidence.

RESULTS

Of 23,994 nurses free of MI at cohort baseline, 686 developed MI by end of follow-up in 2013. At the cohort baseline (1993 or 1999), 10.4% nurses were exposed to wind turbine noise (≥1 turbine within a 6000-m radius of the residence) and 13.3% in 2013. Mean baseline residential noise levels among exposed nurses were 26.3 dB, higher in those who developed MI (26.6 dB) than among those who didn't develop MI (26.3 dB). We found no association between wind turbine noise and MI incidence: adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) comparing nurses with 11-years mean residential noise levels of <21.5 dB, 21.5-25.4 dB, 25.4-29.9 dB, and >29.9 dB, to non-exposed nurses were 0.89 (0.64-1.25), 1.20 (0.82-1.77), 1.38 (0.95-2.01), and 0.88 (0.53-1.28), respectively. Corresponding HR (95% CI) for the linear association between 11-year mean levels of wind turbine noise (per 10 dB increase) with MI incidence was 0.99 (0.77-1.28). Similar associations were observed when considering the 5- and 1-year running means, and with no evidence of dose-response.

CONCLUSIONS

The results of this comprehensive cohort study lend little support to a causal association between outdoor long-term wind-turbine noise exposure and MI. However, there were only few cases in the highest exposure groups and our findings need reproduction.