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

Mueller, William A.; Steinle, Susanne; Pärkkä, Juha; Parmes, Eija; Liedes, Hilkka; Kuijpers, Eelco; Pronk, Anjoeka; Sarigiannis, D; Karakitsios, Spyros; Chapizanis, Dimitris; Maggos, Thomas; Stamatelopoulou, Asimina; Wilkinson, Paul; Milner, James; Vardoulakis, Sotiris; Loh, Miranda

doi:10.1016/j.envres.2019.108850

Cited by 73 publications

(36 citation statements)

References 64 publications

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“…The first pathway is reducing harm (e.g., reducing exposure to air pollution, noise and heat). With increasing outdoor levels of certain greenspace indicators, indoor levels of PM2.5 and noise annoyance are reduced (121,122). The second pathway is restoring capacities (e.g., attention restoration and physiological stress recovery).…”

Section: Built Environmental Factorsmentioning

confidence: 99%

A Review of Advancement on Influencing Factors of Acne: An Emphasis on Environment Characteristics

Yang

et al. 2020

Front. Public Health

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Background: Acne vulgaris is known as a commonly-seen skin disease with a considerable impact on the quality of life. At present, there have been a growing number of epidemiological, medical, demographic and sociological researches focusing on various influencing factors in the occurrence of acne. Nevertheless, the correlation between environmental factors and acne has yet to be fully investigated. Objective: To assess the impacts of individual, natural and social environmental factors on acne and to construct a framework for the potential impact of built environment on acne. Methods: A thorough review was conducted into the published social demographical, epidemiological, and environmental studies on acne through PubMed, Google Scholar and Web of Science, with reference made to the relevant literature. Results: The influencing factors in acne are classed into four major categories. The first one includes individual socioeconomic and biological factors, for example, gender, age, economic level, heredity, obesity, skin type, menstrual cycle (for females), diet, smoking, cosmetics products, electronic products, sleep quality and psychological factors. The second one includes such natural environmental factors as temperature, humidity, sun exposure, air pollution and chloracne. The third one relates to social environment, including social network and social media. The last one includes built environmental factors, for example, population density, food stores, green spaces, as well as other built environment characteristics for transport. Acne can be affected negatively by family history, overweight, obesity, oily or mixed skin, irregular menstrual cycles, sugary food, greasy food, dairy products, smoking, the improper use of cosmetics, the long-term use of electronics, the poor quality of sleep, stress, high temperature, sun exposure, air pollution, mineral oils and halogenated hydrocarbons. Apart from that, there are also potential links between built environment and acne. Yang et al. Acne Conclusions: It is necessary to determine the correlation between the built environment and acne based on the understanding of the impact of traditional factors (sociology of population and environment) on acne gained by multidisciplinary research teams. Moreover, more empirical studies are required to reveal the specific relationship between built environment and acne.

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Section: Built Environmental Factorsmentioning

confidence: 99%

A Review of Advancement on Influencing Factors of Acne: An Emphasis on Environment Characteristics

Yang

et al. 2020

Front. Public Health

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“…In another study, Margaritis and Kang [36] considered the correlations between green space-related morphology and noise pollution and observed that at the urban and kernel scales, cities with higher green space coverage were found to have lower day-evening-night noise levels. Mueller et al [37] found reduced road traffic noise annoyance in urban areas is associated with residential tree cover density. In another study conducted in Gothenburg, Sweden, it was found that green areas were associated with reduced exposure to air pollution and leaves reduce noise levels at frequencies that are important for traffic noise [38].…”

Section: Spatio-temporal Correlation Between Urban Greenery and Traffmentioning

confidence: 99%

Mapping Urban Environmental Performance with Emerging Data Sources: A Case of Urban Greenery and Traffic Noise in Sydney, Australia

et al. 2021

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Measuring urban environmental performance supports understanding and improving the livability and sustainability of a city. Creating a more livable and attractive environment facilitates a greater shift to active and greener transport modes. Two key aspects, among many others, that determine the environmental performance of an urban area are greenery and noise. This study aims to map street-level greenery and traffic noise using emerging data sources including crowd-sourced mobile phone-based data and street-level imagery data in Sydney, Australia. Results demonstrate the applicability of emerging data sources and the presented advanced techniques in capturing the seasonal variations in urban greenery and time-dependent nature of traffic noise. Results also confirm the presence of a negative correlation between urban greenery and traffic noise.

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“…We assigned three indicators of urban greenspace: the Normalised Difference Vegetation Index (NDVI), tree cover density (TCD), and green land use (GLU), similar to a previous analysis using the HEALS dataset published by the authors [36]. Each indicator provides potentially overlapping, but distinct, perspectives of greenspace: NDVI (− 1 to + 1) represents the overall greenness of a given area, TCD provides the percentage (0-100%) of an area covered by the canopy of trees as visible from satellites, and GLU indicates areas used for specific types of green land (parks, forests, sports pitches, etc.)…”

Section: Greenspacementioning

confidence: 99%

“…These sizes were selected to represent a reasonable walking distance to greenspace (300 m; [56]) and to reflect a larger, neighbourhood scale (1000 m; [3]). Additional details of the methods for each indicator can be found in Mueller et al [36].…”

Section: Greenspacementioning

confidence: 99%

Neighbourhood and path-based greenspace in three European countries: associations with objective physical activity

et al. 2021

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Background Greenspace has been associated with health benefits in many contexts. An important pathway may be through outdoor physical activity. We use a novel approach to examine the link between greenspace microenvironments and outdoor physical activity levels in the HEALS study conducted in Edinburgh (UK), the Netherlands, and Athens and Thessaloniki (Greece). Methods Using physical activity tracker recordings, 118 HEALS participants with young children were classified with regard to daily minutes of moderate to vigorous physical activity (MVPA); 60 were classified with regard to the metabolic equivalent task (MET)-minutes for each of the 1014 active trips they made. Greenspace indicators were generated for Normalised Difference Vegetation Index (NDVI), tree cover density (TCD), and green land use (GLU). We employed linear mixed-effects models to analyse (1) daily MVPA in relation to greenspace within 300 m and 1000 m of residential addresses and (2) trip MET-minutes in relation to average greenspace within a 50 m buffer of walking/cycling routes. Models were adjusted for activity, walkability, bluespace, age, sex, car ownership, dog ownership, season, weekday/weekend day, and local meteorology. Results There was no clear association between MVPA-minutes and any residential greenspace measure. For example, in fully adjusted models, a 10 percentage point increase in NDVI within 300 m of home was associated with a daily increase of 1.14 (95% CI − 0.41 to 2.70) minutes of MVPA. However, we did find evidence to indicate greenspace markers were positively linked to intensity and duration of activity: in fully adjusted models, 10 percentage point increases in trip NDVI, TCD, and GLU were associated with increases of 10.4 (95% CI: 4.43 to 16.4), 10.6 (95% CI: 4.96 to 16.3), and 3.36 (95% CI: 0.00 to 6.72) MET-minutes, respectively. The magnitude of associations with greenspace tended to be greater for cycling. Conclusions More strenuous or longer walking and cycling trips occurred in environments with more greenspace, but levels of residential greenspace did not have a clear link with outdoor MVPA. To build on our research, we suggest future work examine larger, more diverse populations and investigate the influence of greenspace for trip purpose and route preference.

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

Cited by 73 publications

References 64 publications

A Review of Advancement on Influencing Factors of Acne: An Emphasis on Environment Characteristics

A Review of Advancement on Influencing Factors of Acne: An Emphasis on Environment Characteristics

Mapping Urban Environmental Performance with Emerging Data Sources: A Case of Urban Greenery and Traffic Noise in Sydney, Australia

Neighbourhood and path-based greenspace in three European countries: associations with objective physical activity

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