A Population-Based Study on Nighttime Road Traffic Noise and Insomnia
Abstract Study Objectives: The aims of the present study were to investigate how nighttime road traffic noise relates to self-reported symptoms of insomnia and sleep medication use. Methods: We used questionnaire data from the population-based study Health and Environment in Oslo (HELMILO) (2009–201...
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| Vydané v: | Sleep (New York, N.Y.) Ročník 40; číslo 2 |
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| Hlavní autori: | , , , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Oxford University Press
01.02.2017
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| ISSN: | 0161-8105, 1550-9109, 1550-9109 |
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| Abstract | Abstract
Study Objectives:
The aims of the present study were to investigate how nighttime road traffic noise relates to self-reported symptoms of insomnia and sleep medication use.
Methods:
We used questionnaire data from the population-based study Health and Environment in Oslo (HELMILO) (2009–2010; n = 13019). The insomnia symptoms difficulties falling asleep, awakenings during the night, and waking up too early in the morning as well as self-reported sleep medication use were included as outcomes. Modeled noise levels (Lnight) were assigned to each participant’s home address. For selecting covariates to the statistical model, we used a directed acyclic graph. The associations between noise and sleep were analyzed using logistic regression models.
Results:
After adjustment for potential confounders, we found an odds ratio (OR) of 1.05 (95% confidence interval [CI]: 1.01–1.09) for the association between traffic noise and difficulties falling asleep, in the total study population. For the association between traffic noise and awakenings during the night, the OR was 1.04 (95% CI: 1.00–1.08) and for waking up too early, the OR was 1.06 (95% CI: 1.02–1.11). The effect estimates are given per 5-dB increase in traffic noise level (Lnight). Self-reported sleep medication use was not statistically significantly associated with traffic noise exposure.
Conclusions:
In an adult population from Oslo, traffic noise was associated with difficulties falling asleep and waking up too early. These findings indicate that sleep quantity may be compromised for individuals living in areas highly exposed to nighttime traffic noise. |
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| AbstractList | The aims of the present study were to investigate how nighttime road traffic noise relates to self-reported symptoms of insomnia and sleep medication use.
We used questionnaire data from the population-based study Health and Environment in Oslo (HELMILO) (2009-2010; n = 13019). The insomnia symptoms difficulties falling asleep, awakenings during the night, and waking up too early in the morning as well as self-reported sleep medication use were included as outcomes. Modeled noise levels (Lnight) were assigned to each participant's home address. For selecting covariates to the statistical model, we used a directed acyclic graph. The associations between noise and sleep were analyzed using logistic regression models.
After adjustment for potential confounders, we found an odds ratio (OR) of 1.05 (95% confidence interval [CI]: 1.01-1.09) for the association between traffic noise and difficulties falling asleep, in the total study population. For the association between traffic noise and awakenings during the night, the OR was 1.04 (95% CI: 1.00-1.08) and for waking up too early, the OR was 1.06 (95% CI: 1.02-1.11). The effect estimates are given per 5-dB increase in traffic noise level (Lnight). Self-reported sleep medication use was not statistically significantly associated with traffic noise exposure.
In an adult population from Oslo, traffic noise was associated with difficulties falling asleep and waking up too early. These findings indicate that sleep quantity may be compromised for individuals living in areas highly exposed to nighttime traffic noise. Abstract The aims of the present study were to investigate how nighttime road traffic noise relates to self-reported symptoms of insomnia and sleep medication use. We used questionnaire data from the population-based study Health and Environment in Oslo (HELMILO) (2009-2010; n = 13019). The insomnia symptoms difficulties falling asleep , awakenings during the night , and waking up too early in the morning as well as self-reported sleep medication use were included as outcomes. Modeled noise levels (L night ) were assigned to each participant's home address. For selecting covariates to the statistical model, we used a directed acyclic graph. The associations between noise and sleep were analyzed using logistic regression models. After adjustment for potential confounders, we found an odds ratio (OR) of 1.05 (95% confidence interval [CI]: 1.01-1.09) for the association between traffic noise and difficulties falling asleep , in the total study population. For the association between traffic noise and awakenings during the night , the OR was 1.04 (95% CI: 1.00-1.08) and for waking up too early , the OR was 1.06 (95% CI: 1.02-1.11). The effect estimates are given per 5-dB increase in traffic noise level (L night ). Self-reported sleep medication use was not statistically significantly associated with traffic noise exposure. In an adult population from Oslo, traffic noise was associated with difficulties falling asleep and waking up too early . These findings indicate that sleep quantity may be compromised for individuals living in areas highly exposed to nighttime traffic noise. Abstract Study Objectives: The aims of the present study were to investigate how nighttime road traffic noise relates to self-reported symptoms of insomnia and sleep medication use. Methods: We used questionnaire data from the population-based study Health and Environment in Oslo (HELMILO) (2009–2010; n = 13019). The insomnia symptoms difficulties falling asleep, awakenings during the night, and waking up too early in the morning as well as self-reported sleep medication use were included as outcomes. Modeled noise levels (Lnight) were assigned to each participant’s home address. For selecting covariates to the statistical model, we used a directed acyclic graph. The associations between noise and sleep were analyzed using logistic regression models. Results: After adjustment for potential confounders, we found an odds ratio (OR) of 1.05 (95% confidence interval [CI]: 1.01–1.09) for the association between traffic noise and difficulties falling asleep, in the total study population. For the association between traffic noise and awakenings during the night, the OR was 1.04 (95% CI: 1.00–1.08) and for waking up too early, the OR was 1.06 (95% CI: 1.02–1.11). The effect estimates are given per 5-dB increase in traffic noise level (Lnight). Self-reported sleep medication use was not statistically significantly associated with traffic noise exposure. Conclusions: In an adult population from Oslo, traffic noise was associated with difficulties falling asleep and waking up too early. These findings indicate that sleep quantity may be compromised for individuals living in areas highly exposed to nighttime traffic noise. The aims of the present study were to investigate how nighttime road traffic noise relates to self-reported symptoms of insomnia and sleep medication use.Study ObjectivesThe aims of the present study were to investigate how nighttime road traffic noise relates to self-reported symptoms of insomnia and sleep medication use.We used questionnaire data from the population-based study Health and Environment in Oslo (HELMILO) (2009-2010; n = 13019). The insomnia symptoms difficulties falling asleep, awakenings during the night, and waking up too early in the morning as well as self-reported sleep medication use were included as outcomes. Modeled noise levels (Lnight) were assigned to each participant's home address. For selecting covariates to the statistical model, we used a directed acyclic graph. The associations between noise and sleep were analyzed using logistic regression models.MethodsWe used questionnaire data from the population-based study Health and Environment in Oslo (HELMILO) (2009-2010; n = 13019). The insomnia symptoms difficulties falling asleep, awakenings during the night, and waking up too early in the morning as well as self-reported sleep medication use were included as outcomes. Modeled noise levels (Lnight) were assigned to each participant's home address. For selecting covariates to the statistical model, we used a directed acyclic graph. The associations between noise and sleep were analyzed using logistic regression models.After adjustment for potential confounders, we found an odds ratio (OR) of 1.05 (95% confidence interval [CI]: 1.01-1.09) for the association between traffic noise and difficulties falling asleep, in the total study population. For the association between traffic noise and awakenings during the night, the OR was 1.04 (95% CI: 1.00-1.08) and for waking up too early, the OR was 1.06 (95% CI: 1.02-1.11). The effect estimates are given per 5-dB increase in traffic noise level (Lnight). Self-reported sleep medication use was not statistically significantly associated with traffic noise exposure.ResultsAfter adjustment for potential confounders, we found an odds ratio (OR) of 1.05 (95% confidence interval [CI]: 1.01-1.09) for the association between traffic noise and difficulties falling asleep, in the total study population. For the association between traffic noise and awakenings during the night, the OR was 1.04 (95% CI: 1.00-1.08) and for waking up too early, the OR was 1.06 (95% CI: 1.02-1.11). The effect estimates are given per 5-dB increase in traffic noise level (Lnight). Self-reported sleep medication use was not statistically significantly associated with traffic noise exposure.In an adult population from Oslo, traffic noise was associated with difficulties falling asleep and waking up too early. These findings indicate that sleep quantity may be compromised for individuals living in areas highly exposed to nighttime traffic noise.ConclusionsIn an adult population from Oslo, traffic noise was associated with difficulties falling asleep and waking up too early. These findings indicate that sleep quantity may be compromised for individuals living in areas highly exposed to nighttime traffic noise. |
| Author | Marit Aasvang, Gunn Oftedal, Bente Schwarze, Per E. Evandt, Jorunn Nafstad, Per Hjertager Krog, Norun |
| Author_xml | – sequence: 1 givenname: Jorunn surname: Evandt fullname: Evandt, Jorunn email: jorunn.evandt@fhi.no organization: 1 Domain for Infection Control and Environmental Health, Department of Air Pollution and Noise, Norwegian Institute of Public Health,Oslo, Norway – sequence: 2 givenname: Bente surname: Oftedal fullname: Oftedal, Bente organization: 1 Domain for Infection Control and Environmental Health, Department of Air Pollution and Noise, Norwegian Institute of Public Health,Oslo, Norway – sequence: 3 givenname: Norun surname: Hjertager Krog fullname: Hjertager Krog, Norun organization: 1 Domain for Infection Control and Environmental Health, Department of Air Pollution and Noise, Norwegian Institute of Public Health,Oslo, Norway – sequence: 4 givenname: Per surname: Nafstad fullname: Nafstad, Per organization: 2 Department of Community Medicine, University of Oslo, Oslo, Norway – sequence: 5 givenname: Per E. surname: Schwarze fullname: Schwarze, Per E. organization: 1 Domain for Infection Control and Environmental Health, Department of Air Pollution and Noise, Norwegian Institute of Public Health,Oslo, Norway – sequence: 6 givenname: Gunn surname: Marit Aasvang fullname: Marit Aasvang, Gunn organization: 1 Domain for Infection Control and Environmental Health, Department of Air Pollution and Noise, Norwegian Institute of Public Health,Oslo, Norway |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/28364487$$D View this record in MEDLINE/PubMed |
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| Copyright | Sleep Research Society 2016. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please e-mail journals.permissions@oup.com. 2016 Sleep Research Society 2016. Published by Oxford University Press on behalf of the Sleep Research Society. All rights reserved. For permissions, please e-mail journals.permissions@oup.com. Copyright © 2016 Sleep Research Society |
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| Keywords | sleep disturbance sleep medication use population-based study directed acyclic graph traffic noise environmental epidemiology insomnia |
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The aims of the present study were to investigate how nighttime road traffic noise relates to self-reported symptoms of insomnia and... The aims of the present study were to investigate how nighttime road traffic noise relates to self-reported symptoms of insomnia and sleep medication use. We... Abstract The aims of the present study were to investigate how nighttime road traffic noise relates to self-reported symptoms of insomnia and sleep medication... The aims of the present study were to investigate how nighttime road traffic noise relates to self-reported symptoms of insomnia and sleep medication use.Study... |
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| SubjectTerms | Adult Aged Aged, 80 and over Darkness Environment Female Humans Hypnotics and Sedatives - therapeutic use Insomnia Logistic Models Male Middle Aged Noise pollution Noise, Transportation - adverse effects Norway Odds Ratio Population Population-based studies Self Report Sleep Sleep Aids, Pharmaceutical - therapeutic use Sleep Initiation and Maintenance Disorders - drug therapy Sleep Initiation and Maintenance Disorders - etiology Surveys and Questionnaires Traffic |
| Title | A Population-Based Study on Nighttime Road Traffic Noise and Insomnia |
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