The Relation between Scores on Noise Annoyance and Noise Disturbed Sleep in a Public Health Survey

Berg, Frits van den; Verhagen, Claudia E.; Uitenbroek, Daan G.

doi:10.3390/ijerph110202314

Cited by 30 publications

(21 citation statements)

References 21 publications

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“…An indirect effect has been shown between selfreported sleep disturbance and annoyance from wind turbine sound, but not between sleep disturbance and the sound levels per se [41]. Research has shown that also for other sound sources there is a high correlation between self-reported sleep disturbance and annoyance from noise [46]. Several more recent studies show an association between quality of life and sleep disturbance and the distance of a dwelling to a wind turbine [47,48].…”

Section: Sleep Disturbancementioning

confidence: 99%

Health Effects Related to Wind Turbine Sound, Including Low-Frequency Sound and Infrasound

Kamp

Berg

2017

Acoust Aust

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A narrative review of observational and experimental studies was conducted to assess the association between exposure to wind turbine sound and its components and health effects in the general population. Literature databases Scopus, Medline and Embase and additional bibliographic sources such as reference sections of key publications and journal databases were systematically searched for peer-reviewed studies published from 2009 to 2017. For the period until early 2015 only reviews were included, while for the period between January 2015 and January 2017 all relevant publications were screened. Ten reviews and 22 studies met the inclusion criteria. Most studies examined subjective annoyance as the primary outcome, indicating an association between exposure levels and the percentage highly annoyed. Sound from wind turbines leads to a higher percentage of highly annoyed when compared to other sound sources. Annoyance due to aspects, like shadow flicker, the visual (in) appropriateness in the landscape and blinking lights, can add to the noise annoyance. There is no evidence of a specific effect of the low-frequency component nor of infrasound. There are indications that the rhythmic pressure pulses on a building can lead to additional annoyance indoors. Personal characteristics such as noise sensitivity, privacy issues and social acceptance, benefits and attitudes, the local situation and the conditions of planning a wind farm also play a role in reported annoyance. Less data are available to evaluate the effects of wind turbines on sleep and long-term health effects. Sleep disturbance as well as other health effects in the vicinity of wind turbines was found to be related to annoyance, rather than directly to exposure.

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Section: Sleep Disturbancementioning

confidence: 99%

Health Effects Related to Wind Turbine Sound, Including Low-Frequency Sound and Infrasound

Kamp

Berg

2017

Acoust Aust

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“…This allows investigating the relation between the perceived risk from aircraft routes, the airport and other sources, and annoyance from these sources. Relations between annoyance and self-reported sleep disturbance have been investigated separately [ 14 ]. The question about perceived risk to health/safety was formulated as follows: Which of the following situation applies to you?…”

Section: Methodsmentioning

confidence: 99%

The Relation between Self-Reported Worry and Annoyance from Air and Road Traffic

Berg

Verhagen

Uitenbroek

2015

IJERPH

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Negative perceptions such as fear or worry are known to be an important determinant of annoyance. Annoyance caused by noise and odour has been analysed in relation to worry about safety or health due to environmental hazards, using responses to a health survey. In the survey area high environmental impacts come from air and road traffic. The survey results show a correlation between worry due to the airport or passing aircraft and noise and odour annoyance from aircraft (correlation coefficient (c.c.) close to 0.6). For the relation between worry about a busy street and annoyance from road traffic the correlation is lower (c.c. 0.4–0.5). Worries about different situations, such as living below sea level, close to an airport, busy street or chemical industry, are highly correlated (c.c. 0.5–0.9), also for situations that are not obviously related. Personal factors can also lead to more worry: being female, above 35 years of age, having a high risk for anxiety/depression and being in bad health increase the odds for being worried. The results thus suggest that worry about safety or health is correlated to both personal and environmental factors.

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“…Although there are various methods for evaluating the influence of noise exposure on health, noise annoyance is among the most commonly utilized in recent studies [ 23 , 24 ]. Nowadays several European studies have revealed a correlation between the objective noise index derived from noise maps and cardiovascular diseases, insomnia, and annoyance [ 25 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

Low Income as a Vulnerable Factor to the Effect of Noise on Insomnia

Park

Sim

Sung

et al. 2018

Psychiatry Investig

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Objective The present study aimed to examine the potential mediating effect of income level on the association between noise exposure and insomnia. Methods 706 individuals were evaluated in conjunction with 2014 noise map data from Seoul, South Korea. Cross-sectional analysis was performed to examine differences in noise level according to household income, while three separate logistic regression models were used to examine factors influencing insomnia. Odds ratios (ORs) were calculated after adjusting for depression, anxiety, auditory acuity and noise sensitivity in the first model. Analyses were adjusted for sociodemographic variables in the second model, lifestyle factors and medical illnesses in the third model. Results Noise level was significantly associated with an increased risk of insomnia in the low-income group, although no such association was observed in the high-income group. Groups exposed to >60 dB of noise (Lden; day-evening-night equivalent) exhibited a 1.79-fold increase in the incidence of insomnia relative to those exposed to <50 dB. The result was significant after adjusting sociodemographic variables, although not significant when adjusted for lifestyle factors and medical illnesses. Conclusion Individuals with low income may be more vulnerable to the deleterious effects of noise exposure on health. Various aspects including income should be considered to ascertain the influence of noise on insomnia.

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The Relation between Scores on Noise Annoyance and Noise Disturbed Sleep in a Public Health Survey

Cited by 30 publications

References 21 publications

Health Effects Related to Wind Turbine Sound, Including Low-Frequency Sound and Infrasound

Health Effects Related to Wind Turbine Sound, Including Low-Frequency Sound and Infrasound

The Relation between Self-Reported Worry and Annoyance from Air and Road Traffic

Low Income as a Vulnerable Factor to the Effect of Noise on Insomnia

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