Jorunn Evandt

Dr. Jorunn Evandt

Department of Air Pollution and Noise, Norwegian Institute of Public Health, Pb 4404 Nydalen, 0403 Oslo, Norway

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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9 December 2016 in SLEEP
Verified
Journal Article
Open access
PDF file
Jorunn EvandtJorunn Evandt
Jorunn Evandt
BOBente Oftedal
Bente Oftedal
NKNorun Hjertager Krog
Norun Hjertager Krog
PNPer Nafstad
Per Nafstad
PSPer E. Schwarze
Per E. Schwarze
GAGunn Marit Aasvang
Gunn Marit Aasvang
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.

KWKjell Vegard Weyde
Kjell Vegard Weyde
NKNorun Hjertager Krog
Norun Hjertager Krog
BOBente Oftedal
Bente Oftedal
Jorunn EvandtJorunn Evandt
Jorunn Evandt
PMPer Magnus
Per Magnus
GAGunn Marit Aasvang
Gunn Marit Aasvang
Almost half of the European Union (EU)’s population is exposed to road traffic noise above levels that constitute a health risk. Associations between road traffic noise and impaired sleep in adults have consistently been reported. Less is known about effects of noise on children’s sleep. The aim of this study was to examine the association between nocturnal road traffic noise exposure and children’s parental-reported sleep duration and sleep problems. The present cross-sectional study used data from The Norwegian Mother and Child Cohort Study. Parental report of children’s sleep duration and sleep problems at age 7 was linked to modelled levels of residential night-time road traffic noise. The study population included 2665 children from Oslo, Norway. No association was found between road traffic noise and sleep duration in the total study population (odds ratio (OR): 1.05, 95% confidence interval (CI): [0.94, 1.17]), but a statistically significant association was observed in girls (OR: 1.21, 95% CI: [1.04, 1.41]). For sleep problems, the associations were similar (OR: 1.36, 95% CI: [0.85, 2.16]) in girls. The ORs are presented for an increase of 10 dB. The findings suggest there is an association between road traffic noise and sleep for girls, underlining the importance of protecting children against excessive noise levels.

7 July 2023 in Environmental Pollution
Verified
Journal Article
Open access
AFAMANDA PAULA FERNANDES
AMANDA PAULA FERNANDES
NKNorun Hjertager Krog
Norun Hjertager Krog
RMRosemary McEachan
Rosemary McEachan
MNMark Nieuwenhuijsen
Mark Nieuwenhuijsen
JJJordi Julvez
Jordi Julvez
MVMartine Vrijheid
Martine Vrijheid
Green spaces may have beneficial impacts on children's cognition. However, few studies explored the exposure to green spaces beyond residential areas, and their availability, accessibility and uses at the same time. The aim of the present study was to describe patterns of availability, accessibility, and uses of green spaces among primary school children and to explore how these exposure dimensions are associated with cognitive development. Exposures to green space near home, school, commuting route, and other daily activity locations were assessed for 1607 children aged 6-11 years from six birth cohorts across Europe, and included variables related to: availability (NDVI buffers: 100, 300, 500 m), potential accessibility (proximity to a major green space: linear distance; within 300 m), and use (play time in green spaces: hours/year), and the number of visits to green spaces (times/previous week). Cognition measured as fluid intelligence, inattention, and working memory was assessed by computerized tests. We performed multiple linear regression analyses on pooled and imputed data adjusted for individual and area-level confounders. Availability, accessibility, and uses of green spaces showed a social gradient that was unfavorable in more vulnerable socioeconomic groups. NDVI was associated with more playing time in green spaces, but proximity to a major green space was not. Associations between green space exposures and cognitive function outcomes were not statistically significant in our overall study population. Stratification by socioeconomic variables showed that living within 300 m of a major green space was associated with improved working memory only in children in less deprived residential areas (β = 0.30, CI: 0.09,0.51), and that more time playing in green spaces was associated with better working memory only in children of highly educated mothers (β per IQR increase in hour/year = 0.10; 95% CI: 0.01, 0.19). However, studying within 300 m of a major green space increased inattention scores in children in more deprived areas (β = 15.45, 95% CI: 3.50, 27.40).

23 October 2017 in Environmental Health
Verified
Journal Article
Open access
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Jorunn EvandtJorunn Evandt
Jorunn Evandt
BOBente Oftedal
Bente Oftedal
NKNorun Hjertager Krog
Norun Hjertager Krog
SSSvetlana Skurtveit
Svetlana Skurtveit
PNPer Nafstad
Per Nafstad
GAGunn Marit Aasvang
Gunn Marit Aasvang
Road traffic noise has been associated with adverse health effects including sleep disturbances. Use of sleep medication as an indicator of sleeping problems has rarely been explored in studies of the effects of traffic noise. Furthermore, using registry data on sleep medications provides an opportunity to study the effects of noise on sleep where attribution of sleep problems to noise is not possible. We used questionnaire data from the population-based study Health and Environment in Oslo (HELMILO) (2009–10) (n = 13,019). Individual data on sleep medications was obtained from the Norwegian Prescription Database (NorPD). Noise levels (L night) were modeled for the most exposed façade of the building at each participant’s home address. Logistic regression models adjusted for potential confounders were used to analyze the association between traffic noise and sleep medication use both for one whole year and for the summer season. The results were reported as changes in the effect estimate per 5 decibel (dB) increase in noise level. We observed no association between traffic noise and sleep medication use during one year [odds ratio (OR) = 1.00; 95% confidence interval (CI): 0.96, 1.04]. For sleep medication use in the summer season, there was a positive, however non-significant association (OR = 1.04; 95% CI: 0.99, 1.10). Among individuals sleeping with the bedroom window open, the association increased slightly and was borderline statistically significant (OR = 1.06; 95% CI: 1.00, 1.12). We found no evidence of an association between traffic noise and sleep medication use during one year. However, for the summer season, there was some suggestive evidence of an association. These findings indicate that season may play a role in the association between traffic noise and sleep, possibly because indoor traffic noise levels are likely to be higher during summer due to more frequent window opening. More studies are, however, necessary in order to confirm this.

20 January 2024 in Environmental Research
Verified
Journal Article
Closed access
ADAlan Domínguez
Alan Domínguez
SKSarah Koch
Sarah Koch
SMSandra Marquez
Sandra Marquez
MCMontserrat de Castro
Montserrat de Castro
JUJose Urquiza
Jose Urquiza
MNMark Nieuwenhuijsen
Mark Nieuwenhuijsen

13 August 2019 in Pharmacoepidemiology and Drug Safety
Verified
Journal Article
Closed access
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Jorunn EvandtJorunn Evandt
Jorunn Evandt
SSSvetlana Skurtveit
Svetlana Skurtveit
BOBente Oftedal
Bente Oftedal
NKNorun Hjertager Krog
Norun Hjertager Krog
PNPer Nafstad
Per Nafstad
GAGunn Marit Aasvang
Gunn Marit Aasvang