Urban greenspace and the indoor environment: Pathways to health via indoor particulate matter, noise, and road noise annoyance

William Mueller (Corresponding Author), Susanne Steinle, Juha Pärkkä, Eija Parmes, Hilkka Liedes, Eelco Kuijpers, Anjoeka Pronk, Denis Sarigiannis, Spyros Karakitsios, Dimitris Chapizanis, Thomas Maggos, Asimina Stamatelopoulou, Paul Wilkinson, James Milner, Sotiris Vardoulakis, Miranda Loh

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Background/Aim
The exposome includes urban greenspace, which may affect health via a complex set of pathways, including reducing exposure to particulate matter (PM) and noise. We assessed these pathways using indoor exposure monitoring data from the HEALS study in four European urban areas (Edinburgh, UK; Utrecht, Netherlands; Athens and Thessaloniki, Greece).
Methods
We quantified three metrics of residential greenspace at 50 m and 100 m buffers: Normalised Difference Vegetation Index (NDVI), annual tree cover density, and surrounding green land use. NDVI values were generated for both summer and the season during which the monitoring took place. Indoor PM2.5 and noise levels were measured by Dylos and Netatmo sensors, respectively, and subjective noise annoyance was collected by questionnaire on an 11-point scale. We used random-effects generalised least squares regression models to assess associations between greenspace and indoor PM2.5 and noise, and an ordinal logistic regression to model the relationship between greenspace and road noise annoyance.
Results
We identified a significant inverse relationship between summer NDVI and indoor PM2.5 (−1.27 μg/m3 per 0.1 unit increase [95% CI -2.38 to −0.15]) using a 100 m residential buffer. Reduced (i.e., <1.0) odds ratios (OR) of road noise annoyance were associated with increasing summer (OR = 0.55 [0.31 to 0.98]) and season-specific (OR = 0.55 [0.32 to 0.94]) NDVI levels, and tree cover density (OR = 0.54 [0.31 to 0.93] per 10 percentage point increase), also at a 100 m buffer. In contrast to these findings, we did not identify any significant associations between greenspace and indoor noise in fully adjusted models.
Conclusions
We identified reduced indoor levels of PM2.5 and noise annoyance, but not overall noise, with increasing outdoor levels of certain greenspace indicators. To corroborate our findings, future research should examine the effect of enhanced temporal resolution of greenspace metrics during different seasons, characterise the configuration and composition of green areas, and explore mechanisms through mediation modelling.
Original languageEnglish
Article number108850
Number of pages13
JournalEnvironmental Research
Volume180
DOIs
Publication statusAccepted/In press - 22 Oct 2019
MoE publication typeA1 Journal article-refereed

Fingerprint

greenspace
Particulate Matter
Noise
particulate matter
Health
road
Buffers
NDVI
Odds Ratio
Monitoring
Land use
Logistics
summer
health
indoor environment
Sensors
Chemical analysis
Greece
Least-Squares Analysis
Netherlands

Keywords

  • greenspace
  • particulate matter
  • noise annoyance
  • air pollution
  • exposome

Cite this

Mueller, William ; Steinle, Susanne ; Pärkkä, Juha ; Parmes, Eija ; Liedes, Hilkka ; Kuijpers, Eelco ; Pronk, Anjoeka ; Sarigiannis, Denis ; Karakitsios, Spyros ; Chapizanis, Dimitris ; Maggos, Thomas ; Stamatelopoulou, Asimina ; Wilkinson, Paul ; Milner, James ; Vardoulakis, Sotiris ; Loh, Miranda. / Urban greenspace and the indoor environment : Pathways to health via indoor particulate matter, noise, and road noise annoyance. In: Environmental Research. 2020 ; Vol. 180.
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title = "Urban greenspace and the indoor environment: Pathways to health via indoor particulate matter, noise, and road noise annoyance",
abstract = "Background/AimThe exposome includes urban greenspace, which may affect health via a complex set of pathways, including reducing exposure to particulate matter (PM) and noise. We assessed these pathways using indoor exposure monitoring data from the HEALS study in four European urban areas (Edinburgh, UK; Utrecht, Netherlands; Athens and Thessaloniki, Greece).MethodsWe quantified three metrics of residential greenspace at 50 m and 100 m buffers: Normalised Difference Vegetation Index (NDVI), annual tree cover density, and surrounding green land use. NDVI values were generated for both summer and the season during which the monitoring took place. Indoor PM2.5 and noise levels were measured by Dylos and Netatmo sensors, respectively, and subjective noise annoyance was collected by questionnaire on an 11-point scale. We used random-effects generalised least squares regression models to assess associations between greenspace and indoor PM2.5 and noise, and an ordinal logistic regression to model the relationship between greenspace and road noise annoyance.ResultsWe identified a significant inverse relationship between summer NDVI and indoor PM2.5 (−1.27 μg/m3 per 0.1 unit increase [95{\%} CI -2.38 to −0.15]) using a 100 m residential buffer. Reduced (i.e., <1.0) odds ratios (OR) of road noise annoyance were associated with increasing summer (OR = 0.55 [0.31 to 0.98]) and season-specific (OR = 0.55 [0.32 to 0.94]) NDVI levels, and tree cover density (OR = 0.54 [0.31 to 0.93] per 10 percentage point increase), also at a 100 m buffer. In contrast to these findings, we did not identify any significant associations between greenspace and indoor noise in fully adjusted models.ConclusionsWe identified reduced indoor levels of PM2.5 and noise annoyance, but not overall noise, with increasing outdoor levels of certain greenspace indicators. To corroborate our findings, future research should examine the effect of enhanced temporal resolution of greenspace metrics during different seasons, characterise the configuration and composition of green areas, and explore mechanisms through mediation modelling.",
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Mueller, W, Steinle, S, Pärkkä, J, Parmes, E, Liedes, H, Kuijpers, E, Pronk, A, Sarigiannis, D, Karakitsios, S, Chapizanis, D, Maggos, T, Stamatelopoulou, A, Wilkinson, P, Milner, J, Vardoulakis, S & Loh, M 2020, 'Urban greenspace and the indoor environment: Pathways to health via indoor particulate matter, noise, and road noise annoyance', Environmental Research, vol. 180, 108850. https://doi.org/10.1016/j.envres.2019.108850

Urban greenspace and the indoor environment : Pathways to health via indoor particulate matter, noise, and road noise annoyance. / Mueller, William (Corresponding Author); Steinle, Susanne; Pärkkä, Juha; Parmes, Eija; Liedes, Hilkka; Kuijpers, Eelco; Pronk, Anjoeka; Sarigiannis, Denis; Karakitsios, Spyros; Chapizanis, Dimitris; Maggos, Thomas; Stamatelopoulou, Asimina; Wilkinson, Paul; Milner, James; Vardoulakis, Sotiris; Loh, Miranda.

In: Environmental Research, Vol. 180, 108850, 01.01.2020.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Urban greenspace and the indoor environment

T2 - Pathways to health via indoor particulate matter, noise, and road noise annoyance

AU - Mueller, William

AU - Steinle, Susanne

AU - Pärkkä, Juha

AU - Parmes, Eija

AU - Liedes, Hilkka

AU - Kuijpers, Eelco

AU - Pronk, Anjoeka

AU - Sarigiannis, Denis

AU - Karakitsios, Spyros

AU - Chapizanis, Dimitris

AU - Maggos, Thomas

AU - Stamatelopoulou, Asimina

AU - Wilkinson, Paul

AU - Milner, James

AU - Vardoulakis, Sotiris

AU - Loh, Miranda

PY - 2019/10/22

Y1 - 2019/10/22

N2 - Background/AimThe exposome includes urban greenspace, which may affect health via a complex set of pathways, including reducing exposure to particulate matter (PM) and noise. We assessed these pathways using indoor exposure monitoring data from the HEALS study in four European urban areas (Edinburgh, UK; Utrecht, Netherlands; Athens and Thessaloniki, Greece).MethodsWe quantified three metrics of residential greenspace at 50 m and 100 m buffers: Normalised Difference Vegetation Index (NDVI), annual tree cover density, and surrounding green land use. NDVI values were generated for both summer and the season during which the monitoring took place. Indoor PM2.5 and noise levels were measured by Dylos and Netatmo sensors, respectively, and subjective noise annoyance was collected by questionnaire on an 11-point scale. We used random-effects generalised least squares regression models to assess associations between greenspace and indoor PM2.5 and noise, and an ordinal logistic regression to model the relationship between greenspace and road noise annoyance.ResultsWe identified a significant inverse relationship between summer NDVI and indoor PM2.5 (−1.27 μg/m3 per 0.1 unit increase [95% CI -2.38 to −0.15]) using a 100 m residential buffer. Reduced (i.e., <1.0) odds ratios (OR) of road noise annoyance were associated with increasing summer (OR = 0.55 [0.31 to 0.98]) and season-specific (OR = 0.55 [0.32 to 0.94]) NDVI levels, and tree cover density (OR = 0.54 [0.31 to 0.93] per 10 percentage point increase), also at a 100 m buffer. In contrast to these findings, we did not identify any significant associations between greenspace and indoor noise in fully adjusted models.ConclusionsWe identified reduced indoor levels of PM2.5 and noise annoyance, but not overall noise, with increasing outdoor levels of certain greenspace indicators. To corroborate our findings, future research should examine the effect of enhanced temporal resolution of greenspace metrics during different seasons, characterise the configuration and composition of green areas, and explore mechanisms through mediation modelling.

AB - Background/AimThe exposome includes urban greenspace, which may affect health via a complex set of pathways, including reducing exposure to particulate matter (PM) and noise. We assessed these pathways using indoor exposure monitoring data from the HEALS study in four European urban areas (Edinburgh, UK; Utrecht, Netherlands; Athens and Thessaloniki, Greece).MethodsWe quantified three metrics of residential greenspace at 50 m and 100 m buffers: Normalised Difference Vegetation Index (NDVI), annual tree cover density, and surrounding green land use. NDVI values were generated for both summer and the season during which the monitoring took place. Indoor PM2.5 and noise levels were measured by Dylos and Netatmo sensors, respectively, and subjective noise annoyance was collected by questionnaire on an 11-point scale. We used random-effects generalised least squares regression models to assess associations between greenspace and indoor PM2.5 and noise, and an ordinal logistic regression to model the relationship between greenspace and road noise annoyance.ResultsWe identified a significant inverse relationship between summer NDVI and indoor PM2.5 (−1.27 μg/m3 per 0.1 unit increase [95% CI -2.38 to −0.15]) using a 100 m residential buffer. Reduced (i.e., <1.0) odds ratios (OR) of road noise annoyance were associated with increasing summer (OR = 0.55 [0.31 to 0.98]) and season-specific (OR = 0.55 [0.32 to 0.94]) NDVI levels, and tree cover density (OR = 0.54 [0.31 to 0.93] per 10 percentage point increase), also at a 100 m buffer. In contrast to these findings, we did not identify any significant associations between greenspace and indoor noise in fully adjusted models.ConclusionsWe identified reduced indoor levels of PM2.5 and noise annoyance, but not overall noise, with increasing outdoor levels of certain greenspace indicators. To corroborate our findings, future research should examine the effect of enhanced temporal resolution of greenspace metrics during different seasons, characterise the configuration and composition of green areas, and explore mechanisms through mediation modelling.

KW - greenspace

KW - particulate matter

KW - noise annoyance

KW - air pollution

KW - exposome

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U2 - 10.1016/j.envres.2019.108850

DO - 10.1016/j.envres.2019.108850

M3 - Article

VL - 180

JO - Environmental Research

JF - Environmental Research

SN - 0013-9351

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