Long-term exposure to residential green spaces and site-specific cancer mortality in urban Belgium: A 13-year follow-up cohort study

Rodriguez-Loureiro, Lucía; Verdoodt, Freija; Lefebvre, Wouter; Vanpoucke, Charlotte; Casas, Lidia; Gadeyne, Sylvie

doi:10.1016/j.envint.2022.107571

Cited by 17 publications

(9 citation statements)

References 48 publications

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“…Overall, the relationship urban form with disease is complex and may depend on various factors. However, like recent studies [12,[15][16][17]35], our ndings suggest a relationship between green space and density with these diseases. The effect of the features of the built environment on the metabolic risk factors also indicates their indirect effect on the diseases.…”

Section: Discussionsupporting

confidence: 85%

The Relationship between Neighborhood Urban Form and Major Non-communicable Diseases in Tehran, Iran

Dehkordi,

Khatami,

Ranjbar

2024

Preprint

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In the current century, non-communicable diseases (NCDs), particularly cardiovascular diseases, diabetes, cancer, and chronic respiratory diseases are among the main causes of mortality in all countries. However, little research has been conducted into the complex relationships between the neighborhood-built environment and the risk factors of non-communicable diseases in developed countries. For this purpose, this relationship was examined in 358 neighborhoods of Tehran. The information about disease rates and their risk factors in each neighborhood was collected for 118,000 adult residents based on the results of the second round of Urban Health Equity Assessment and Response Tool (Urban HEART-2). Next, the relationship of the data to 9 indicators of urban form in the neighborhoods and three socio-economic indicators was investigated using covariance analysis and ordinal logistic regression in SPSS and Minitab. The findings suggest that, apart from the effect of the economic and social status of the neighborhoods, some indicators of the built environment such as density, land use, green space, and access to public transportation can also affect the rates of the diseases as well as their risk factors (i.e., overweightness, obesity, and hypertension). As the main cause of many diseases, overweightness was found out to have the highest correlation with the indicators of urban form. In general, it can be concluded that the design and planning of urban neighborhoods may provide a good opportunity for improving urban health and preventing such diseases.

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Section: Discussionsupporting

confidence: 85%

The Relationship between Neighborhood Urban Form and Major Non-communicable Diseases in Tehran, Iran

Dehkordi,

Khatami,

Ranjbar

2024

Preprint

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“…Three studies (38%) reported a significantly beneficial relationship between NDVI and CRD mortality. Two studies suggested that protective relationships appeared to be significant among women ( 85 ) and younger individuals (<65 years) ( 31 , 85 ). No statistically significant association was reported in the remaining five (62%) studies.…”

Section: Resultsmentioning

confidence: 99%

“…In addition to age and buffer zones, there are also many potential factors related to greenness that can affect respiratory health, including atmospheric environment ( 71 , 81 ), educational attainment of mothers ( 26 ), urban–rural differences ( 69 , 70 , 83 ), gender ( 85 , 88 ), underweight or premature birth ( 25 , 30 , 81 ), and household income ( 25 , 82 ). A more comprehensive analysis of different potential factors is necessary in the future, which may assist in reducing socio-economic health inequalities.…”

Section: Discussionmentioning

confidence: 99%

Greenness and chronic respiratory health issues: a systematic review and meta-analysis

Tang,

Liu,

et al. 2023

Front. Public Health

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IntroductionThe number of chronic respiratory disease (CRD) individuals worldwide has been continuously increasing. Numerous studies have shown that greenness can improve chronic respiratory health issues through different mechanisms, with inconsistent evidence. By quantitatively summarizing existing studies, our purpose is to determine the connection between greenness exposure and various chronic respiratory health.MethodsWe conducted a comprehensive search on PubMed, EMBASE, and Web of Science core databases to identify relevant studies on the correlation between greenness exposure and chronic respiratory health issues. Studies published up to January 2023 were included in the search. The study used the most frequent indicator (normalized difference vegetation index [NDVI]) as the definition of greenness exposure.ResultsWe finally identified 35 studies for meta-analysis. We calculated pooled effects across studies using a random-effects model and conducted a subgroup analysis by age and buffer zones to discuss the effects on chronic respiratory health issues. This study showed that 0.1 increments in NDVI were significantly related to lower rates of asthma incidence, lung cancer incidence, and chronic obstructive pulmonary disease (COPD) mortality risk; the pooled RRs were 0.92 (95% CI: 0.85–0.98), 0.62 (95% CI: 0.40–0.95), and 0.95 (95% CI: 0.92– 0.99), respectively. For the age subgroup, the higher greenness exposure level was related to the incidence rate of asthma among teenagers aged 13–18years (RR: 0.91; 95% CI: 0.83–0.99). For the buffer subgroup, a positive relationship with greenness exposure and asthma incidence/prevalence at 200–300m and 800– 1000m buffers, as well as the COPD mortality at 800–1000m buffer, the pooled RRs were 0.92 (95% CI: 0.86–0.98), 0.87 (95% CI: 0.81–0.93), and 0.93 (95% CI: 0.88– 0.98), respectively. Evidence of publication bias was not detected in this study.DiscussionOur study is the first global meta-analysis between greenness and various CRDs to report an inverse association. Further research is needed in order to determine the effect of greenness exposure on different CRDs. Therefore, when planning for green development, more consideration must be given to public health and green management as intervention measures.https://www.crd.york.ac.uk/PROSPEROFILES/384029_STRATEGY_20230116.pdf

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“…Greenness measured with NDVI refers to all vegetation, both structured spaces in parks and gardens, and unstructured spaces such as forests. As many as 29 of the 42 included papers in this review used NDVI as their main greenness definition [ 4 – 32 ]. In the included studies, NDVI was measured at study participants’ residential addresses and defined either with circular buffer zones around the addresses (at 100 m, 300 m, 500 m or 1000 m), or with larger neighbourhood/census tract units.…”

Section: Exposuresmentioning

confidence: 99%

“…Such alternative indicators were: 1) plant diversity, calculated based on plant-occurrence data from the Global Biodiversity Information Facility (GBIF), a facility containing over 2 billion geo-coded plant records globally [ 20 ]; 2) census tract level proximity to greenspace, defined as public parks, privately held greenspace and canopy cover along roads [ 33 ]; 3) the density of tall trees above 3 m (or closely grouped tree crowns where the clustered tree canopies were above 3 m, with one unit increase on the tree density scale representing an increase of 50 trees/clustered tree crowns per km 2 ), and percentage of gardens calculated from the British Generalised Land Use Database (GLUD) [ 38 ]; 4) tree condition, calculated based on the percentage of dead tree tips in the crown of trees with a trunk diameter >2.5 cm at 1.5 m height (condition is then categorised into “excellent”, “good”, “fair”, “poor”, “critical/dying” and “dead”) [ 34 ]; 5) subjectively perceived neighbourhood greenness, calculated from the percentage of household in each census tract reporting very good provision of green spaces in their neighbourhoods in the 2001 Belgian census (based on the question “What do you think of the neighbourhood facilities? The green space” with the three answer categories: “poorly equipped”, “normally equipped”, and “very well equipped”) [ 4 , 11 ]; and 6) a complex compound of six landscape metrics: percentage of greenspace (defined as tree canopy and grass or shrub cover), mean area of greenspace (with higher values indicating larger mean sizes of greenspace), fragmentation of greenspace (with higher values indicating greenspace area is scattered), greenspace connectedness (with higher values indicating that different parts of greenspaces are connected through paths or similar structures), aggregation of the greenspace pattern (with higher values indicating more aggregation of similar greenspaces together), and complexity of the shape of the greenspace (with higher values indicating more irregular shapes) [ 46 ].…”

Section: Exposuresmentioning

confidence: 99%

Greenness exposure: beneficial but multidimensional

Johannessen,

Xu,

Abbah

et al. 2023

Breathe

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Many studies have shown that greenness has beneficial health effects, particularly on psychological and cardiovascular outcomes. In this narrative review, we provide a synthesis of knowledge regarding greenness exposure and respiratory health. The following outcomes were reviewed: respiratory mortality, lung cancer mortality, lung cancer incidence, respiratory hospitalisations, lung function, COPD, and asthma. We identified 174 articles through a literature search in PubMed, of which 42 were eligible for inclusion in this review. The most common marker for greenness exposure was the normalised difference vegetation index (NDVI), which was used in 29 out of 42 papers. Other markers used were tree canopy cover, landcover/land-use, plant diversity, density of tall trees and subjectively perceived greenness. We found beneficial effects of greenness in most studies regarding respiratory mortality, lung cancer incidence, respiratory hospitalisations and lung function. For lung cancer mortality, asthma and COPD, the effects of greenness were less clear cut. While many aspects of greenness are beneficial, some aspects may be harmful, and greenness may have different health effects in different population subgroups. Future studies of greenness and respiratory diseases should focus on asthma and COPD, on effects in different population subgroups and on disentangling the health effects of the various greenness dimensions.

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Long-term exposure to residential green spaces and site-specific cancer mortality in urban Belgium: A 13-year follow-up cohort study

Cited by 17 publications

References 48 publications

The Relationship between Neighborhood Urban Form and Major Non-communicable Diseases in Tehran, Iran

The Relationship between Neighborhood Urban Form and Major Non-communicable Diseases in Tehran, Iran

Greenness and chronic respiratory health issues: a systematic review and meta-analysis

Greenness exposure: beneficial but multidimensional

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