| Literature DB >> 34831512 |
Kaili Chen1,2, Tianzheng Zhang1,2, Fangyuan Liu1,2, Yingjie Zhang1,2, Yan Song3.
Abstract
In recent years, the interest in the relationship between urban green space and residents' mental health has gradually risen. A number of researchers have investigated the causal relationship and possible mediators between the two, although few have summarized these mediators. For this reason, we searched for relevant studies and filtered them by criteria and quality score, and analyzed the mediators and paths of the impact of urban green space on residents' mental health. The mediators can be divided into environmental factors, outdoor activity, and social cohesion. From the perspective of heterogeneity, both individual characteristics (e.g., age and gender) and group characteristics (e.g., level of urban development and urban density) of residents are considered to be the cause of various mediating effects. Types of urban green space tend to affect residents' mental health through different paths. Furthermore, this review discusses the details of each part under the influence paths. Finally, the policy implications for urban green space planning from three mediator levels are put forward based on an analysis of the situation in different countries.Entities:
Keywords: greenery; influencing path; intermediary factors; psychological relaxation; urban forest
Mesh:
Year: 2021 PMID: 34831512 PMCID: PMC8621109 DOI: 10.3390/ijerph182211746
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Article selection process.
Summary of selected articles based on types of green space and mediators.
| Neighborhood Green Space | Park | Urban Forest | Other or Unclassified Green Space | |
|---|---|---|---|---|
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| Improve air quality | [ | |||
| Absorbing noise | [ | |||
| Visual stimulation | [ | [ | ||
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| Physical activity | [ | [ | [ | [ |
| Social activity | [ | [ | [ | [ |
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| Neighborhood satisfaction | [ | [ | ||
| Sense of belonging and security | [ | [ | [ | [ |
Figure 2The mediators and influencing paths of urban green space’s impact on residents’ mental health [4,8,17,32,33,44,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72]. Notes: (1) Part I and Part II are the classification and measurement of urban green space, respectively, which is defined in Section 2. (2) Part III is the mediators of urban green space’s impact on residents’ mental health, which is the core part of the article. This part will be shown in Section 3.1. (3) Part IV is the heterogeneity characteristics of residents. The heterogenous effect of different mediators on various groups is shown in Section 3.2. (4) Part V is the measurement of mental health, which is presented in Appendix A. (5) Based on part III, the classification and definition of mediators is discussed in Section 4.1. (6) Based on part IV, the individual and group characteristics of residents are discussed in Section 4.2. (7) Based on parts I and II, the classification study and quality analysis of green space will be discussed in Section 4.3. (8) Based on parts III and V, measures of mental health are discussed in Section 4.4 in terms of mediator.
Main characteristics and results of the studies on green space and mental health.
| No. | Publication Year | Study Location | Sample Characteristics | Green Space Calculation/Measures | Study Design | Key Findings | Potential Mediators |
|---|---|---|---|---|---|---|---|
| [ | 2013 | England | 5000 | The Generalized Land Use Database (GLUD) classifies land use at high geographical resolution across England and has been applied to 32,482 lower-layer super output areas (LSOAs) | Panel data analysis | A greater amount of green space is associated with less mental stress and greater happiness. | Stress and neighborhood satisfaction |
| [ | 2020 | Singapore | 22 healthy volunteers (13 females; mean age = 32.9, standard deviation = 12.7) | Contemplative landscape score | Electroencephalography (EEG) technology was used to test the changes in a busy urban street, an urban park, and a neighborhood green space to test the mood swings of participants. | In green space, participants’ Frontal alpha asymmetry (FFA) is more significant, which means that they have more positive emotions. | Positive emotion |
| [ | 2008 | Adelaide, Australia | 2194 residents aged between 20 and 65 | Neighborhood environment walkability scale (NEWS–AU) | Principal components analysis with oblique rotation was conducted to identify summary measures of neighborhood satisfaction. | Neighborhood satisfaction may mediate the association between perceived environmental characteristics and measures of mental health in adults. | Neighborhood satisfaction |
| [ | 2020 | Hong Kong, China | 608 pedestrians aged 20 years or over | Normalized difference vegetation index (NDVI) | Multinomial logistic regression models were applied to assess the effects of green space on sleep quality and perceived stress. | High levels of stress affect sleep quality, but the effect is relatively small in neighborhoods with a high amount of green space. | Relief of stress |
| [ | 2020 | European cities | 3947 adults aged 18–75 years | GIS-derived measures and NDVI | A cross-sectional | Physical activity, a higher frequency of social contact with neighbors, and better mental well-being | Physical activity and communication with the neighborhood |
| [ | 2013 | New Zealand | 8157 adults aged 15 years or over | Green space quartiles | Cross-sectional analysis of anonymous individual health survey responses was conducted. | Although physical activity is higher in greener neighborhoods, it does not fully explain the relationship between green space and mental health. | Physical activity |
| [ | 2015 | Catalonia (Spain) | 8793 adults | Indicators of surrounding greenness and access to natural outdoor environments within 300 m of the residence | Cross-sectional analysis was conducted by using logistic regression and negative binominal models. | Instead of physical activity and social support, restoration and stress reduction could be alternative pathways that underlie the associations between green space and mental health. | Physical activity and social support |
| [ | 2011 | Ghent, Belgium | Two inner-city neighborhoods that differ objectively in greenery, with 300 residential households per neighborhood | GIS | Ward’s method of hierarchical clustering was utilized. | Stress is significantly correlated with community satisfaction and happiness, but there is no significant difference in the perception of stress between two communities with different amounts of green space. | Stress and neighborhood satisfaction |
| [ | 2004 | Hamilton, Ontario, Canada | 1504 adults aged 18 years and older residing in four contrasting | Subjective experience of residents | Cross-sectional survey data were analyzed in small neighborhoods. | The influence of the physical environment, such as green space, on neighborhood satisfaction is much higher than that of the social environment; people are more satisfied with communities with more green space, and thus are happier. | Neighborhood satisfaction |
| [ | 2020 | Kaunas city, Lithuania | 1489 4–6-year-old children | Normalized difference vegetation index and | A cross-sectional study was conducted using multivariate logistic regression models. | Residential greening and time spent in parks are consistently positively associated with a reduction in children’s general and mental health risks, and spending time in parks could ameliorate the effects of sedentarism. | Physical activity |
| [ | 2014 | Barcelona, Spain | 2011 schoolchildren (7–10 years of age) | Normalized difference vegetation index and | A cross-sectional study that applied quasi-Poisson mixed-effects models | Green space increases the amount of play time and interaction, thus solving emotional problems and peer relationships and increasing children’s concentration levels. | Physical activity and peer relationships |
| [ | 2020 | New York, United States of America | 3652 residents aged 18 or older | Self-reported time to walk to the nearest park from home | Multiple regression with bootstrap-generated 95% | Physical activity near parks is indirectly associated with fewer days of poor mental health, but only for those who do not care about park crime. | Physical activity |
| [ | 2019 | Bandar Abbas, Iran | 1965 elderly people (65 years old or above) | Level of park activity | A cross-sectional field survey was conducted from a population-based randomized sample of elderly people. | Older people’s own physical condition can also affect their tendency to go out; people with cardiovascular disease are more likely to go to the park, while those with high blood stress are less likely. | Physical activity |
| [ | 2013 | Four Dutch cities (Utrecht, Rotterdam, Arnhem, and Den Bosch) | 1641 residents | Subjective description | Multilevel analysis was conducted to investigate the mechanisms | The contribution of green activity is often not significant; there is a possibility that the effect of green activity is mediated by stress and social cohesion, rather than that it has a direct health effect. | Stress and social cohesion |
| [ | 2013 | Edinburgh, Scotland | 12 students from Edinburgh University | Subjective judgment | Using the Emotiv EPOC (a low-cost mobile Electroencephalography recorder), participants took part in a 25-min walk through three different areas of Edinburgh and recorded their emotions. | People have lower frustration, engagement, and arousal levels and higher meditation levels when moving into green spaces, as well as higher engagement when moving out of them. | Environmental factor |
| [ | 2014 | England | 6384 children (aged 3, | The percentage of green space within a standard small area | The Millennium Cohort Study (a longitudinal survey) | Poor children in urban neighborhoods with more greenery have fewer emotional problems from age 3–5 than their counterparts in less green neighborhoods. | Emotional well-being |
| [ | 2020 | Poland | 75 young adult Poles studying in the largest | The green ratio analysis carried out in the Promovolt application for the presented photographs | The physiological and psychological condition of the participants was measured in rooms, before the walk and just after its end. Measurements of pulse and blood pressure of all participants in the study were performed at the same time. | Both walking in the suburbs and in the forest with fall scenery have a positive effect on the physiological and psychological relaxation of participants. | Physical activity |
| [ | 2014 | Japan | The subjects were 15 healthy volunteers (11 men and four women) with a mean ± SD age | The viewing of the forest (Forest condition) and the non-viewing of the forest (Enclosed condition) | The physiological and psychological responses of each subject were measured for both the Forest and Enclosed conditions. The subject’s blood pressure variables, saliva amylase, and profile of mood states scores were evaluated before and after both conditions. | Visual stimulation might be required for and accentuate psychological benefits in human health compared to not viewing a real forest, while similar effects on blood pressure and heart rate variables may occur either with forest condition or without enclosed condition viewing a real forest. | Visual stimulation |
| [ | 2018 | East-Central Europe | 21 young Polish adults | Map provided by F. Ordon, the meteorological station in Olsztyn–Mazury, the “Light Meter” | A pre-test–post-test design with a short, one-day intervention of the forest recreation program was applied. The participants’ psychological and physiological responses were measured indoors on the day before forest recreation, and then under field conditions on the next day, directly after the forest recreation. | The short forest recreation program may be effective in reducing negative symptoms of stress. | Outdoor sport |
| [ | 2019 | Japan | 46 young male undergraduate and graduate university students | Forest Site | A short-term experiment was conducted using the same method in both environmental settings. We then analyzed the intrinsic restorative properties and the restorative effects of the settings and referred to prior research to determine the restorative effects. | The forest setting was a restorative environment with a higher restorative effect than the urban setting but the influence of individual traits was small; distancing (Stress coping), psychological health, and satisfaction with living environment were likely important indicators that are related to the restorative effects in the forest setting. | Environmental factor |
| [ | 2014 | Japan | 11 or 12 male university students (45 in total) participated as respondents | Four forest environments (located near the towns of Yoshino, Akiota, and Kamiichi and the city of Oita) | Each respondent walked individually around the area during a 15-min “walking” session before noon. They also sat on chairs and viewed the scenery individually during a 15-min “viewing” session in the afternoon after a lunch break. | Forest bathing heightened positive affect and induced a feeling of subjective restoration and vitality. | Outdoor sport |
| [ | 2015 | Barcelona, Spain | 2623 schoolchildren without special needs in the second to | High-resolution (5 m × 5 m) satellite data on greenness (normalized difference vegetation index) | From January 2012 to March 2013, children were evaluated every 3 months over four repeated visits by using computerized tests in sessions lasting 40 min in length. | An improvement in cognitive development associated with surrounding greenness, particularly with greenness at schools. This association was partly mediated by reductions in air pollution. | Air pollution |
| [ | 2020 | Southern California, United States of America | 2290 Southern California | Green space from satellite observations of the enhanced vegetation index were linked to each participant’s geocoded residence | In this cohort study, a total of 2290 Southern California Children’s Health Study participants residing in 8 densely populated urban communities responded to detailed questionnaires. | People’s exposure to smoke at home in addition to residential exposure to artificial light at night and near-roadway air pollution were associated with increased perceived stress. These associations appeared to be partially mitigated by more residential green space. | Air pollution |
| [ | 2018 | The United States | Older adults (n = 4118; aged 57– | The normalized difference vegetation Index at 250 m resolution, as well as a buffer of 1000 m | Longitudinal analyses to assess the associations between greenness and mental health upon adjusting for confounders (e.g., education), and to examine potential mediation and effect modification. | The association between green space and depressive symptoms was significant for active people. Only in physically active individuals was greater green associated with improved anxiety and depression symptoms. | Physical activity |
| [ | 2019 | Hong Kong and Tainan, China | 326 older adults | Spatial distribution and accessibility, characteristics of plants and urban green spaces | Two rounds of questionnaires were conducted, with the first round as a pilot study and the second round as in-depth interviewing involving planning and design aspects. | A longer urban green space visit duration creates positive impacts on older adults’ mental health and social functioning. Nicer-looking urban green spaces were considered safer. Older adults preferred to have a greater number of flowers in the urban green space. | Visual stimulation |
| [ | 2019 | Korea | 11408 participants aged 65 years and older | Using the proportion of urban green area per administrative area derived from Community Health Survey data to assess the degree of exposure to green space. | A binary logistic regression analysis, with reported symptoms of depression and stress levels as response variables for mental health indicators | The prevalence of these mental health issues generally decreased in relation to the ratio of green space of an area. The higher the rate of greenery in a city, the less stress and fewer symptoms of depression reported among its elderly residents. | Environmental factor |
| [ | 2014 | Plovdiv, Bulgaria | 97 elderly adults | Visit specific park (Tzar Simeon Garden) | Hierarchical multiple regression model | The combination of physical activity and natural surroundings has additive antianxiety effects through psychological mechanisms or through better physical fitness and less worry about illness. | Physical activity |
| [ | 2013 | New South Wales, Australia | 267,102 aged 45 to 106 years (mean age = 62.8, standard deviation = 11.2) | Using information extracted from ‘meshblocks’ (Australian Bureau of Statistics, 2005). | Loglikelihood ratio test | The link between mental health and greener surroundings as we get older may be increasingly dependent upon our ability to maintain regularly active lifestyles. | Physical activity |
| [ | 2015 | Cambridgeshire, Nottingham, Newcastle and Oxford, England | 2424 people aged 74 and over | The percentage of green space and private gardens in each LSOA based on the UK Generalised Land Use 2001 Dataset | Two-level multilevel logistic regression | A high exposure to natural environments (green space and gardens) in communities was associated with fewer mental disorders among older people. | Environmental factor |
| [ | 2019 | Shanghai, China | 257 people aged 60 or older without difficulty walking use walking aids; | Selecting some parks based on criteria | Latent class analysis (LCA) was used to detect groups of senior park users with different patterns of behavior in the parks and to understand the groups’ characteristics. | Affective states (i.e., anxiety depression, relaxation, contention) were enhanced after park visits for all subtypes. However, the active park lingerer displayed significantly higher levels of relaxation, compared to the active walker and the passive scanner. | Outdoor sport |
| [ | 2019 | Four European cities: Barcelona (Spain), Kaunas (Lithuania), Doetinchem (the Netherlands), and Stoke-on-Trent (the United Kingdom) | 3948 | Time spent visiting green space | Physical activity was assessed by the short questionnaire to assess health-enhancing physical activity. To measure social cohesion, the social cohesion and trust scale was used. | Visiting green spaces promotes physical activity, especially during leisure time, and mitigates feelings of loneliness. The effect of green spaces mitigating feelings of loneliness is more important than promoting physical activity as far as mental health is concerned. | Physical activity and social cohesion |
| [ | 2019 | Iran | 10,856 adolescents | Time spent in | Logistic mixed effects models with recruitment centre as the random effect | More time spent in green spaces was associated with improved self-satisfaction and social contacts. Social contacts could explain more than half of the association between | Social contacts |
| [ | 2018 | Aydın, Turkey | 420 respondents, 50.5% (212) were male and 49.5% (208) were female. | Time using green space for physical activity | Multivariate linear regression analysis | Nearest distance to urban green space and quality of urban green space (i.e., maintenance and cleanliness) were associated with increased frequency of physical activity. Large and open/visible urban green space were associated with better physical health. | Physical activity |
| [ | 2019 | Rochester, the United States | 142 patients from two cardiac rehabilitation sites | A manual (study-specific) geographical information system (GIS)-based method, the normalized difference vegetation Index (NDVI) and self-reported quantity of green space near the home | Poisson regressions with counts of the dichotomous outcomes for depression, stress, and anxiety. | Increased accessible green space near the home may improve depression and promote recovery in this population. This may be due to physical activity in this space. | Perceived view and physical activity |
| [ | 2020 | Andalusia, Spain | 479 respondents between 18 and 64 years | View of urban green spaces from home referred to the possibility of viewing green spaces from any of the home windows | Chi-square tests and a multiple linear regression models used to identify the variables explaining the risk of anxiety and | Adults who enjoy a view of green spaces from home have a lower risk of anxiety and depression. | Visual stimulation |
| [ | 2013 | the United Kingdom | 10168 individuals from the British Household Panel Survey | Local-area green space were derived from the Generalised Land Use Database | Fixed-effects regression approach that estimated the effects of green space based on scores for the same individuals at different points in time and thus controlled for personality and other stable factors. | On average, individuals have both lower mental distress and higher well-being when living in urban areas with more green space. | Neighborhood satisfaction |
Summary of some of the literature research methods employed in retrieved articles.
| Specific Items | Document No. | Mental State | Experimental | |
|---|---|---|---|---|
| Mental | Poor psychological condition | [ | Health survey brief form (SF)-36 | Cross-sectional |
| Mental health | [ | General health questionnaire (GHQ)-12 and SF-36 | Cross-sectional | |
| Psychological State | [ | GHQ-30 | Cross-sectional | |
| Mental health | [ | Mental health scale (MHI)-5 | Cross-sectional | |
| Neighborhood happiness | [ | General statement and Pearson correlation coefficient | Sampling survey, Linear regression | |
| Neighborhood satisfaction | [ | SF-12 | Joint significance test | |
| Mood | Anxiety | [ | Ministry of health database | Cross-sectional |
| Anger, confusion, fatigue, and vitality | [ | Profile of mood states (POMS) questionnaire | Quasi-experimental Properties (control) | |
| Depression | [ | Modified depression scale (MDS) | Cross-sectional | |
| Fear, happiness, and sadness | [ | POMS questionnaire | Quasi-experimental Properties (control) | |
| Positive/negative emotions | [ | Depression and anxiety scale (DASS-21) | Quasi-experimental Properties (control) | |
| Emotional recovery | [ | POMS questionnaire | Quasi-experimental | |
| Self-esteem and general emotional interference | [ | The diagnostic and statistical manual of mental disorders (DSM-IV) | Cross-sectional | |
| Restorative | Humans’ restoration | [ | Restorative outcome scale (ROS) | Quasi-experimental Properties (control) |
| Environment restores mental alertness | [ | Perceived restorativeness scale (PRS) | Multiple regression (step-wise) analysis | |
| Behavioral problem | [ | By assessing children’s internalization and externalization ability | Longitudinal design | |
| Behavioral problems | [ | Strengths and difficulties questionnaire (SDQ) | Portrait (queue) | |
| Psychological distress | [ | Kessler psychological distress scale (K10) | Cross-sectional | |
| Perceived stress | [ | Probability proportionate to size (PSS) | Cross-sectional | |
| Chronic stress | [ | Hair cortisol | Cross-sectional |