Abstract
In an increasingly urbanized world, where cardiometabolic issues in cities have raised public health concerns, urban greenness is known to be beneficial for some of the most common health issues. However, the examination of the contribution of sex and gender regarding the benefits of urban greenness for people’s cardiometabolic health is lacking. For that reason, we conducted a systematic review of previous literature on the topic following the PRISMA methodology. Additionally, we assessed the quality of the included articles, which we found satisfactory as most papers were of very good or good quality. We explored the relationship between urban greenness exposure and cardiovascular risk factors, cardiovascular diseases, and mortality from cardiovascular diseases. Results suggest that urban greenness is protective against cardiovascular risk factors, diseases, and mortality. When stratifying results by sex and gender, findings point to urban greenness being more beneficial for women and females in stroke and cardiovascular risk factors, except for hypertension and lipid accumulation product. On the other hand, males were more protected by urban greenness in terms of cardiovascular diseases and CVD-related mortality, thus proving that sex and gender health inequalities exist. Furthermore, looking towards the future, research needs to use the proper terminology for sex and gender and policy makers should design urban greenness with a gender perspective.
Supplementary Information
The online version contains supplementary material available at 10.1007/s11524-022-00685-9.
Keywords: Urban greenness, Sex differences, Gender differences, Cardiovascular risk factors, Obesity
Introduction
As of 2018, 55% of the world's population lived in urban settlements [1], with numbers expected to increase further [2]. With urbanization rising, so are health issues linked to urban life, such as cardiometabolic and respiratory diseases commonly related to air pollution, poor diet, and sedentary behaviours [3–5]. In response, urban greenness has been suggested to protect against health issues such as cardiometabolic diseases and premature mortality [6–9]. Thus, their benefits have driven cities to integrate green spaces into their planning. Examples of it exist all over the Global North: Barcelona’s ambitious 2021 Green Space Plan, San Francisco’s and Seattle’s green conversion of industrialized waterfronts, or the 55m2 of green space per resident achieved in Nantes through the creation and maintenance of 100 parks and gardens [10].
Access to ecosystem services from urban greenness can be distributed unequally across the population [11]. Therefore, health inequalities must be researched to better design cities with particular attention to intersectionality across sociodemographic factors [12]. However, while associations between health inequalities across socioeconomic status and race, among others, have been found [13, 14], the literature on sex and gender differences is still scarce.
This article will consider both sex and gender in binary terms. These terms have been historically used interchangeably in the scientific literature, but they entail different indicators. Sex (either female or male) is determined through the biological characteristics of a person: their chromosomes, hormones, or reproductive organs. Gender (either women or men) refers to socially constructed characteristics people adopt as part of their identity and expression which can include norms or roles [15–18].
Previous studies have found differences in the protection urban greenness provides depending on sex and gender. Astell-Burt found that in the case of obesity that urban greenness had stronger protective effects on women [19]. However, the opposite was found in the article by Kowaleski-Jones & Wen [20]. Contradicting results were also discovered in the case of mortality related to cardiovascular diseases. Richardson & Mitchell found urban greenness to be more protective towards men [21]; however, the opposite was found by Vienneau et al. [22]. Therefore, due to the different findings, we aim to perform a systematic review. This review aims to examine the relationship between urban greenness and cardiometabolic health and whether their effects are modified by sex and gender.
Methods
We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (see Table S2).
Search Strategy
For the systematic search, we used the electronic databases of Web of Science, Scopus, and PubMed. We chose these databases as Web of Science and Scopus are the most used for bibliometric analysis, and PubMed is the most used for its biomedical resources [23, 24]. The search was performed on the 8th of July 2021. We identified the articles using keywords for three thematic blocks (see Table S1). First, urban greenness: including terms referring to different kinds of greenness that can be found in a city. Second, sex/gender: including different combinations referring to interaction, stratification, and effect modification by sex or gender. Third, cardiometabolic health: including cardiometabolic diseases (e.g. cardiomyopathy, ischemic heart disease, and metabolic syndrome), risk factors and markers (e.g. obesity, hypertension, and stroke), and cardiometabolic mortality (e.g. heart failure and infraction). Finally, we obtained the articles by submitting a Boolean search phrase with syntax tailored to each electronic database.
Eligibility Criteria
We only included original human-based research articles in English. Both cross-sectional and longitudinal studies were included. The papers had to relate urban greenness or urban green spaces to cardiometabolic health and research the possible differences across sex or gender. We excluded those that were based on rural or virtual environments, as those are beyond the aim of this review.
Selection Process
We used Rayyan QCRI to select articles systematically. Rayyan QCRI is a webpage that streamlines the selection process making it easier for researchers to collaborate [25]. Two reviewers (MF & LC) blindly selected the relevant papers through titles and abstract screening. A third reviewer (PK) was consulted when in disagreement. All selected articles were read in full and included in the systematic review when they fulfilled the inclusion criteria.
Data Extraction
We extracted the following information from each selected article: data about the study (e.g. author, year, and citation), the study sample characteristics (e.g. size, age, and focus group), the location (e.g. country), the usage of sex or gender (or both), the exposure assessment measure of greenness (e.g. the neighbourhood surrounding greenness or urban green spaces), the health mediators and outcomes measures and the results (both the overall and the tailored across sex/gender).
Quality Assessment of the Studies
Modifying the quality assessment system from de Keijzer et al. [26] to fit for cardiometabolic health, we have been able to assess the quality of the articles (see Table S3 & S4). The tool utilises twelve quality criteria, and we assigned a score of 0, 1, or at times 2 points for each. The total points earned for every study's criteria were added and expressed as a percentage of the highest possible score. According to this proportion, the study's quality was rated as follows: 81 percent as very good quality, 61 to 80 percent as good quality, 41 to 60 percent as fair quality, 21 to 40 percent as poor quality, and 20 percent as very poor quality.
Results
Article Selection
The initial 2,407 identified papers were trimmed down to 58 after removing duplicates, non-English literature, and screening titles and abstracts (see Fig. 1). During the screening, we encountered papers that seemed to follow our eligibility criteria; however, in the end, they did not. One example was the articles that focused on mental health due to the inclusion of the keyword of stress [27–36]. Another example was those articles that did not stratify results through sex or gender; rather, they adjusted them through different models [37–43]. In the end, a total of 22 papers were included in the review.
Fig. 1.
Selection process of the articles, starting with the identification phase, which includes the exclusion of the duplicates. Following with the screening phase, excluding the non-human, non-English articles, and screening the titles, abstracts, and titles of the papers. In the end, there remain the eligible articles
Sample Characteristics
Table 1 summarises the sample characteristics of each study. The sample size varies from 408 to 28,6 million participants. Age ranged widely, but 68,2% of the studies focused on adults. Overall, Europe (45.5%), the USA (22.7%), and China (13.6%) were the main localizations.
Table 1.
Key characteristics of the articles
| Citations | Unit of analysis* | Country | Use of sex or gender | Greenness exposure measure | Health outcome | Protection** |
|---|---|---|---|---|---|---|
| Asri et al., 2020 [48] | 183 countries | Worldwide | Gender | NDVI | Stroke | Stronger effect found in men |
| Ischemic heart disease | Stronger effect found in women | |||||
| Bauwelinck et al., 2020 [49] | 14,000 |
Spain & Belgium |
Sex | NDVI, MSAVI2 (100 m, 300 m, and 500 m buffers), access to green spaces (300 m and 500 m) & distance to nearest green space | Hypertension | Stronger effect found in males |
| Bauwelinck et al., 2021 [50] | 2,185,170 | Belgium | Sex | NDVI, MSAVI2 (300 m, 500 m and 1000 m buffers) & Green space proportion within buffer zone | Cardiovascular disease (CVD) mortality | Stronger effect found in males |
| Bell et al., 2008 [51] | 3,831 | USA | Gender | NDVI (1 km buffer) | Obesity | Stronger effect found in men |
| Cummins & Fagg, 2011 [52] | 42,177 | UK | Sex | Green space area proportion in each district | Obesity | Stronger effect found in females |
| de Keijzer et al., 2019 [54] | 6,076 | UK | Sex | NDVI & VCF (500 m and 1000 m buffers) | Metabolic syndrome | Stronger effect found in females |
| Huang et al., 2020 [53] | 24,845 | China | Gender |
NDVI & SAVI (500 m and 1000 m buffers) |
Obesity | Stronger effect found in women |
| Liu et al., 2021 [55] | 2,100 | China | Gender | NDVI (1,000 m, 1,500 m, and 2,000 m buffers) | Pulse pressure | Stronger effect found in women |
| Lipid accumulation product | Stronger effect found in men | |||||
| Cardiovascular disease | Stronger effect found in men | |||||
| Persson et al., 2018 [44] | 5,126 | Sweden | Sex | NDVI (100 m, 250 and 500 m buffers) | Obesity | Stronger effect found in females |
| Plans et al., 2019 [56] | 1,720 | Spain | Gender | NDVI (300 m, 500 m, 1000 m and 1500 m buffers) | Obesity | No association between urban greenness and obesity was found |
| Hypertension | Stronger effect found in men | |||||
| Diabetes | Stronger effect found in women | |||||
| Hypercholesterolemia | Stronger effect found in women | |||||
| Prince et al., 2011 [45] | 3,383 | Canada | Sex | Green space access | Obesity | Stronger effect found in females |
| O'Callaghan-Gordo et al., 2020 [57] | 2,354 | Spain | Sex | NDVI (300 m buffer) and access to green space | Obesity | Stronger effect found in females |
| Richardson & Mitchell, 2010 [21] | 6,432 urban wards | UK | Gender | Green space access | CVD mortality | Stronger effect found in men |
| Sanders et al., 2015 [47] | 4,423 | Australia | Gender | Green space access | Obesity | Stronger effect found in boys |
| Sarkar, 2017 [58] | 333,183 | UK | Sex | NDVI (500 m and 800 m buffers) | Obesity |
Stronger effect found in women Stronger effect found in men for the waist circumference |
| Seo et al., 2019 [59] | 351,409 | Korea | Sex | Green space area proportion in each district | CVD | Stronger effect found in males |
| Vienneau et al., 2017 [22] | 4,284,680 | Switzerland | Sex | NDVI (150 m and 500 m buffer) | CVD mortality | Stronger effect found in females |
| Wall et al., 2015 [46] | 2,682 | USA | Gender | NDVI (1600 buffers) | Obesity | Stronger effect found in girls |
| White et al., 2021 [63] | 8,282 | USA | Sex | Green space presence (400 m buffer) | Obesity | Stronger effect found in females |
| Xu et al., 2017 [60] | 199 Tertiary Planning Unit | China | Gender | NDVI | CVD mortality | Stronger effect found in men |
| Yang et al., 2018 [62] | 41,283 | USA | Gender | Distance to nearest park | Obesity | Stronger effect found in girls |
| Yeager et al., 2018 [61] | 408 | USA | Sex | NDVI (250 m and 1000 m buffers) | Stress | Stronger effect found in females |
*When no unit of analysis is given, the units are individuals
**The use of the terminology is according to whether the papers used sex or gender. It is not necessarily the same as what they use in their papers to refer to the participants
Usage of Sex or Gender
Regarding sex and gender, 54.5% of the studies stratified results according to sex, but only 22,7% of the articles focused mainly on sex and gender when performing the study [21, 44–47]. However, the terms surrounding sex and gender were used interchangeably. More than 90% of the studies talk about sex but refer to the participants as women and men or vice versa; they refer to participants as females and males but talk about gender [21, 22, 44–46, 48–62]. Additionally, a few studies use both the terms of sex and gender interchangeably [53, 56]. Only the papers by Sanders et al. and White et al. were consistent with the terminology (9,1%) [47, 63].
Exposure Assessment Measure of Greenness
Most papers (68.2%) assessed residential or neighbourhood surrounding greenness, while a minority studied urban green spaces such as parks and sports fields. The measure used for the residential surrounding greenness was mainly the Normalized Difference Vegetation Index (NDVI) [22, 44–46, 48, 49, 51–55, 57, 59–61]. Other measures were also used, such as the Modified Soil-adjusted Vegetation Index 2 (MSAVI2) [49, 50], the Vegetation Continuous Field (VCF) [37], and the Soil Adjusted Vegetation Index (SAVI) [53]. In contrast, those used for urban green spaces accounted for the access [21, 45, 47, 57, 63], the proportion of green space in each district [50, 52, 59], or the distance to the nearest green space [49, 62].
Quality Assessment of the Studies
Out of the 22 included articles, the majority qualified as good quality (50%), 36,4% qualified as very good quality, and the rest as fair quality (13,6%) with no paper of poor or very poor quality. All studies performed well within the quality criteria of potential bias, greenspace data source, covariates, statistics, and effect size. However, there were some problematic quality criteria which were related to the assessment of the greenness. None of the articles assessed the quality of greenness. Additionally, only one paper included the usage of urban greenness in their study [45]. Furthermore, only 18,2% of the papers included different greenness indicators to measure it within the study [49, 50, 53, 64]. In terms of sex and gender, out of the papers that qualified as very good quality, 57% pointed to urban greenness being overall more protective towards males/men [47, 50, 51, 59]. However, 72,7% of those that qualified as good quality urban greenness was more protective towards females/women [45, 46, 53, 56–58, 62, 63]. Additionally, two of the three articles that qualified as fair quality found results of urban greenness being more protective towards males/men [21, 60].
Cardiometabolic Risk Factors
Obesity was the most common health outcome assessed in these studies (50%), followed by cardiometabolic mortality (18%).
Obesity
All 11 studies that measured obesity, adiposity, and overweight did so through the body mass index (BMI) [44–47, 51–53, 56–58, 62, 63], but some also used additional measures such as waist circumference (WC) [44, 53, 58], waist to hips ratio (WHR) [57], weight gain (in a longitudinal study) [44], and whole-body fat [58]. The overall results (58,3% of the articles) point to a protective effect of urban greenness [46, 47, 51, 53, 57, 58, 63]. Authors such as Bell et al. and Sanders et al. assessed that physical activity is the apparent mediator between the association between obesity and urban greenness [47, 52].
In terms of sex and gender, 63.6% of the papers found that urban greenness was more beneficial to females than males and women than men [44–46, 52, 57, 58, 63]. However, results were not always consistent through all indicators of weight. For instance, Persson and colleagues found that the beneficial effects of urban greenness in females only reduced the increase in WC from the baseline; this did not happen with weight gain or BMI [44]. Alternatively, Sarkar performed in the UK to adults aged 38 to 73 [58]. The study found the beneficial effects of urban greenness more pronounced in the male population when doing waist circumference measurements. Two other studies assessing obesity in children using longitudinal designs found urban greenness to be more protective towards males [47, 52].
Hypertension
Two studies assessed the relationship between urban greenness and hypertension. Both found no significant association between the two factors. In terms of sex and gender, the same lack of significance was found [49, 56].
Metabolic Syndrome
The only study including metabolic syndrome was that of Keijzer and colleagues, who conducted a longitudinal study in the UK, with the population being between 45 and 69 years old at baseline [54]. The study findings were coherent with existing results on obesity and found that people exposed to higher levels of residential surrounding greenspace had lower risks of developing metabolic syndrome. In addition, in terms of sex, stronger protective effects of urban greenness were found in females.
Stress
Yeager and colleagues measured urinary epinephrine to capture stress results to understand CVD risk when residents are surrounded by urban greenness in the USA [61]. Their overall results showed that residents who lived closer to greener surroundings had lower stress levels. Moreover, when stratifying results by sex, the protective association between greenness and stress was found in both sexes, with females more protected in this association than males.
Diabetes and Hypercholesterolemia
Plans and colleagues assessed different risk factors of CVD in Madrid, Spain. For hypercholesterolemia, the results were clear, the closer to green space, the lower the odds of having high cholesterol. However, for diabetes, results were mixed as they were only significant for the second quartile of the density of green spaces. In that quartile, the odds of diabetes went up, meaning the less density of green spaces, the higher the odds of diabetes. In terms of gender, women were the only ones affected by the density of green spaces; thus, the lower the density, the higher the odds of having high cholesterol. Again, in the case of diabetes, results were mixed. The relation was only observed for women, and results were unclear about the relationship both factors had [56].
Pulse Pressure & Lipid Accumulation Product
Liu and colleagues assessed both pulse pressure and lipid accumulation product in China as risk factors for CVD. For pulse pressure, urban greenness was identified as having a protective effect on the population: For the buffer of 1500 m in the NDVI in the second tertile, they found: -2.99: 95% CI: -4.43, -0.15, while for the third tertile: -4.00; 95% CI: -6.53, -1.47. Thus, they demonstrated the inverse relation between urban greenness and pulse pressure. However, for the case of lipid accumulation, results were more mixed. If we look at the same buffer, in the second tertile the authors found: -10.02; 95% CI: -16.08, -3,96, however in the third tertile: -3.72, 95% CI: -10.85, -3.41. Therefore, the more urban greenness is still better than the reference base but not more protective than having a small amount of urban greenness. In terms of gender, they found that urban greenness was especially protective for pulse pressure among women (-1.216; 95% CI: -1.982, -0.450), whereas greenness was associated with fewer lipid accumulation among men (-0.803; 95% CI: -3.535, 1.929) [55].
Stroke
Arsi and colleagues performed a study around 183 countries and found urban greenness to have a protective impact on the overall population in terms of stroke incidence. The benefits were statistically significant for both women and men, but they were more pronounced in women (with coefficient estimates of -2.62; p-value < 0.01) than in men (with coefficient estimates of -1.84; p-value < 0.05) [7].
Ischemic Heart Disease
Ischemic heart disease was one of the two CVDs that appeared in the articles from our system research. Asri and colleagues found urban greenness to be protective (− 11.245; 95% CI: − 16.770, − 5.720; p-value < 0.001). In terms of gender, the relation was more pronounced in men (-6.39; p-value < 0.001) than in women (-5.18; p-value < 0.001) [7].
Cardiovascular Disease
Only Liu et al. and Seo et al. have studied the relationship between urban greenness and cardiovascular disease [55, 59]. Both papers found urban greenness to be protective; however, males and men had more pronounced results, especially in the paper by Liu et al. with men: 0.768, 95% CI 0.663, 0.890, p = 0.017; and women: 0.906, 95% CI 0.805,1.020, p = 0.017 [55].
Cardiometabolic Mortality
Mortality was the second most common topic assessed through the articles (18%). All studies found a protective effect from urban greenness concerning mortality. The overall results showed that age mediated the association between mortality and urban green space protection. Younger subjects were more protected than older ones [22, 50, 52].
Results stratified by sex and gender indicated a protective effect on males and men in CVD, diabetes, and cerebrovascular mortality [21, 50, 60]. However, results were mixed when looking into ischemic heart disease as only two studies assessed it, and each found contradicting results. Vienneau et al. found a more protective effect on females, while Bauwelinck et al. found a protective impact on males [22, 50]. Finally, Vienneau and colleagues found that females were more protected by urban greenness than males regarding hypertension-related [22].
Discussion
This systematic review mostly pointed to urban greenness as having a protective effect against cardiometabolic risk factors and diseases. However, when stratifying results by sex and gender, findings suggest that urban greenness is more beneficial for females in stroke and cardiovascular risk factors, except for hypertension and lipid accumulation. On the other hand, males were more protected by urban greenness in terms of cardiovascular diseases and mortality.
Focusing on Sex and Gender
The terminology around sex and gender has been a key issue during this systematic review as terms were used interchangeably. The fact that papers claimed they were analysing gender differences but used females and males to refer to the participants may show a misunderstanding of the term gender and careless use of the terminology. In addition, it confuses to readers who become uncertain about what the authors refer to, either sex or gender.
Additionally, none of the reviewed papers explained how the authors assess sex and gender, define it, and most importantly, why they use either one of them and not both [64]. In reality, observed differences and inequalities in greenness protective effects might not be only attributable to sex only, but also to gender roles and norms our world dictates [65]. Thus, both should be thoroughly examined [66]. Moreover, the misuse of the terminology directly affects those who do not identify themselves within the binary system, those who reject gender norms, as they are probably misread in research and thus, not accounted for [67].
Type of Greenness and Sex and Gender
This review attempted to uncover specific sex and gender differences in various types of urban greenness. We found that those papers that measured greenness through NDVI generally found the greenness to be more protective of females and women across all health indicators (57,1%) [22, 53, 54, 56–58, 61]. However, for other exposure types such as green access, green proportion in the district, and distance to the nearest park, the results are mixed [21, 45–47, 49, 50, 52, 62, 63]. Mechanisms that could be involved with the health outcomes and types of exposure studied are a combination of indirect and direct contact with the greenness. Even though it would be interesting to differentiate the mechanisms involved for each exposure type, we cannot fully do so as we cannot differentiate the uses completely (proximity, view, usage). The lack of inclusion of the use of greenness within the papers has been one of the factors that has lowered the quality of the reviewed papers, indicating a gap within the research. Thus, we were not able to draw any clear conclusions due to a lack of evidence. However, some efforts to establish the mechanisms can be seen, with the mechanism being mitigation, restoration, and instoration. The mechanism of mitigation—reducing harm through greenness—includes different factors that can be mitigated, such as noise or air pollution [68–70]. Mitigation within the included papers has been studied regarding CVD [21], mortality [22, 50], and obesity [44, 57, 58] assessing the levels of air pollution in the environment as a confounding factor. This mechanism could be argued to be the most detected when using NDVI as a measure of greenness, as it is a vegetation index, and it is not accounting for the usage of the greenness but rather for its presence. The same could be argued for the measure of the greenness of distance to the nearest park. The mechanism of restoration delves into the restorative effect greenness can have on people’s psychological well-being [68–70]. The study by Yeager et al. studied the levels of stress as a risk factor for CVD risk [61]. The mechanism of instoration includes the building of capacities either physical or social through greenness [68–70]. Within the studies, physical activity has been studied in some articles that assessed obesity [44, 53, 57], and in one regarding CVD [55]. Both the mechanisms of restoration and instoration could be argued to be detected when using the measure of access to greenness, as these mechanisms are more dependent on the use of greenness.
From previous studies, we know that women might be more reluctant to access green spaces if they are not perceived as safe, which directly influences how much women interact with their surrounding greenness, even from a young age [71–75]. For instance, multiple environmental and social factors shape people’s perception of safety. Social disorder and serious crime help shape the fear of crime perceived by women within their neighbourhood. Thus, factors such as these aid in the understanding of the gendered nature of perception of safety [76]. Additionally, even when there is an interaction between both sexes and genders, these might differ. For example, women typically visit parks following their assigned role of childcaring, while men tend to be more physically active [75, 77].
Quality of the Studies
As the quality of the papers has proven to be good, the results presented here can be understood to be of high quality as well. Results show no correlation between the quality of the articles and the protection of urban greenness through sex and gender, pointing to unbiased researchers and results.
Even though the quality of the articles included was overall good, none of the articles assessed the quality of greenness, which is a substantial gap. Park quality has been studied in the literature, and authors found sex and gender differences, pointing to women being more affected by their surroundings than men [78]. Additionally, only one paper assessed the usage of greenness, which hinders the possibility of understanding which mechanisms are involved in the relationship between the use of greenness and cardiometabolic health.
Contextualizing Benefits for Females and Women
As observed, most greenness effects on cardiometabolic risk factors were more beneficial for females or women. An explanation could be that women interact more with greenness as they might surround themselves more with urban greenness due to enduring childcare and housekeeping obligations [39, 53, 56]. Thus, the availability of green space seems particularly critical for women's health [79]. Prince and colleagues point to the lack of specificity of the use of urban green spaces (such as having designated areas for different sports) to be what made men be unmotivated to use them and be physically active in them [45]. This was coherent with results found by many authors [77, 80–84]. They point to men being more likely to be observed in more active informally and formally organised activities, such as playing soccer in sports or grass fields. At the same time, women are seen walking, jogging on walking trails, or dancing and doing aerobics. These gendered differences can even be seen during childhood and adolescence [85].
Additionally, because the relationship between urban greenness and cardiometabolic health is complex, other factors may also mediate it. For example, Wall et al. and Yang et al. found unhealthy food availability through fast-food restaurants more predictive of girls' obesity than urban greenness [46, 62]. This difference is possibly explained by the modification of socioeconomic level in women, making them more vulnerable to obesity, as they might not be able to afford healthier food [57,79]. Stress may also play an important role in obesity, as some studies found restorative effects from urban greenness, which probably contributed to the participants’ weight loss [44, 58].
Contextualizing Benefits for Males and Men
Urban greenness has proved to be more protective for males and men regarding cardiovascular diseases and mortality. Bell et al. and Sander et al. studied childhood obesity in specificity and found men more protected by urban greenness [47, 51]. These results are in accordance with those found by Wolch and colleagues, who also assessed childhood obesity [86]. Sanders and colleagues point to gender as a possible mediator as boys have more independence to move around the neighbourhood, allowing them to be more physically active in other spaces [47]. Marquet et al. further hypothesise that this trend can be due to parents engaging in gendered avoidance behaviour when they perceive threats to security, such as crime [71, 87].
Contrary to what authors that found better results for females and women suggest about their interaction with urban greenness, Richardson & Mitchell point to a possible underrepresentation of women in urban green spaces such as parks due to the value women put into the quality of these spaces [21]. As mentioned before, a sense of safety and crime can also explain why women might be less likely to access urban greenness [72]. Consequently, Liu and colleagues believe that men are more likely to use urban green spaces [55]. Xu and colleagues further argue that this use may be due to their occupations, either because more males work outdoors near where they live or because they are exposed to them in their commute [60].
Other authors who did not relate CVD to urban greenness remind us that these better results for men may be due to the possible late or wrongful diagnosis of CVD in women. For example, Hyung and colleagues discovered that women attending primary healthcare services in Australia were less likely to be examined for CVD risk factors [88]. Mauvais-Jarvis et al. further add that women are more likely to die because of coronary heart disease, potentially because of undiagnosed ischemic heart disease [89].
Strengths and Limitations
This review has many strengths and has faced some limitations. First, our study offers a critical view of the use of sex and gender, through which we identified the misuse of the terminology in the epidemiologic research field. Additionally, we conducted a rigorous systematic review using the PRISMA methodology at all stages. We ran the systematic search with a second blind reviewer to confirm that we were not disregarding any articles relevant to our study.
However, we encountered some limitations. The exclusion of all non-English articles might have led to the concentration of the cases in Europe and the USA, meaning there is a need for further research of other parts of the world to increase global knowledge as results may vary across countries. At the same time, studies analysing the differences by sex and gender used different terminology and structures, which complicated the systematic search. We focused our search on articles relating urban greenness and sex and gender through interaction, stratification, and effect modification. Both these factors might have influenced the number of papers reviewed; however, we used a comprehensive search to avoid missing any relevant articles. Additionally, the wrongful use of the terminology challenged the understanding of the results.
Future Research
Future research should aim to better understand health differences by sex and gender and the terminology around these terms, as most reviewed studies used them wrongfully and interchangeably. At the same time, future research should purposely examine both sex and gender when relating to urban greenness and health. Additionally, none of the included papers that considered gender discussed the entire gender spectrum or, at least, tried to have a section on non-binary people and the effects that urban greenness had on their health. In these articles, a part of today's society was ignored or possibly misread, thus denoting the need for inclusivity in this research field.
Aside from inclusiveness, the literature still lacks the intersectionality of sex and gender with other socio-cultural and demographic aspects (e.g. class, race, ethnicity, etc.) regarding urban greenness and health. Intersectionality will be essential to outline the factors that lead to health inequalities. In terms of intersectionality, future research should also assess people's perceptions of urban greenness to understand how they interact. Thus, future research would benefit from the inclusion of qualitative research. It would also benefit from further exploring the possible late or misdiagnosis that women suffer in cardiometabolic issues. For this reason, we also need better-prepared physicians; therefore, there is a need to incorporate a gender perspective in their curriculums. Additionally, articles need to include the assessment of different criteria related to urban greenness, especially the quality, usage, and measurements of greenness.
Policy Implications
Planning for green space should integrate a gender perspective. Urban green spaces need to be safe and welcoming spaces where women can access them without fear, apprehension, and discomfort. In addition, women need to have the possibility of being physically active. As mentioned, women tend to have competing responsibilities either within the household or with their children. Duties take up time and energy, impeding them from having the possibility or the time to go to urban green spaces to be physically active for themselves and their health with no other purpose than self-care.
Some interventions might make urban green spaces more appealing and accessible to women. For example, Casper and colleagues suggested having childcare facilities in parks so mothers can exercise, while their young kids are taken care of [77]. Additionally, Mitchell and colleagues pointed to the need for programmed and supervised activities for adolescents and young girls, so their parents will let them participate in outdoor activities [90]. Barcelona is an example of a city placing care at the centre of city planning. With the Ciutat Cuidadora (City of Care) model, the town council aims to recognise the importance of care and ensure that everyone can be cared for through fair and equitable conditions [91]. The municipality is integrating care into green space planning, including the pedestrianised and green superblocks which are being developed throughout the city. Only through care and justice-centred policies that account for women and females’ intersectional needs and responsibilities can a green city be a just city for all.
Conclusions
Results suggest urban greenness is protective against cardiometabolic risk factors and diseases. However, in terms of sex and gender, women are more protected by urban greenness in cardiovascular risk factors, except for hypertension and lipid accumulation product. On the other hand, urban greenness benefited men more for cardiovascular diseases and mortality. There are several possible explanations, one of the main ones being that women and men pattern of use of urban greenness may differ. These findings could be used to help ease certain health inequalities regarding sex and gender.
Additionally, this review has also shown that literature on the topic of urban greenness protection across sex and gender to people's cardiometabolic health is still an under-examined field. In turn, this limits the conclusions that can be extracted from the data.
Supplementary Information
Below is the link to the electronic supplementary material.
Funding
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Footnotes
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References
- 1.Ritchie H, Roser M. Urbanization. Our World in Data. Published online June 13, 2018. https://ourworldindata.org/urbanization#:~:text=In%202016%2C%20urban%20populations%20in creased. Accessed 17 July 2021.
- 2.UN. 68% of the world population projected to live in urban areas by 2050, says UN. UN DESA | United Nations Department of Economic and Social Affairs. Published May 16, 2018. https://www.un.org/development/desa/en/news/population/2018-revision-of-world-urbanization-prospects.html#:~:text=Projections%20show%20that%20urbanization%2C%20the. Accessed 17 July 2021.
- 3.Lopez RP, Hynes HP. Obesity, physical activity, and the urban environment: public health research needs. Environ Health. 2006;5(1). .10.1186/1476-069x-5-25. [DOI] [PMC free article] [PubMed]
- 4.Nayyar D, Hwang SW. Cardiovascular Health Issues in Inner City Populations. Can J Cardiol. 2015;31(9):1130–1138. doi: 10.1016/j.cjca.2015.04.011. [DOI] [PubMed] [Google Scholar]
- 5.Sciaraffa R, Borghini A, Montuschi P, Gerosa G, Ricciardi W, Moscato U. Impact of air pollution on respiratory diseases in urban areas: a systematic review. European J Public Health. 2017;27(suppl_3). 10.1093/eurpub/ckx189.117.
- 6.Astell-Burt T, Feng X. Urban green space, tree canopy and prevention of cardiometabolic diseases: a multilevel longitudinal study of 46 786 Australians. Int J Epidemiol. 2019;49(3). 10.1093/ije/dyz239. [DOI] [PMC free article] [PubMed]
- 7.Gascon M, Triguero-Mas M, Martínez D, et al. Residential green spaces and mortality: a systematic review. Environ Int. 2016;86:60–67. doi: 10.1016/j.envint.2015.10.013. [DOI] [PubMed] [Google Scholar]
- 8.Rojas-Rueda D, Nieuwenhuijsen MJ, Gascon M, Perez-Leon D, Mudu P. Green spaces and mortality: a systematic review and meta-analysis of cohort studies. The Lancet Planetary Health. 2019;3(11):e469–e477. doi: 10.1016/s2542-5196(19)30215-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.WHO. Urban green spaces and health - a review of evidence (2016). www.euro.who.int. Published 2016. https://www.euro.who.int/en/health-topics/environment-and-health/urban-health/publications/2016/urban-green-spaces-and-health-a-review-of-evidence-2016. Accessed 22 July 2021.
- 10.Anguelovski I, Connolly JJT. The Green City and Social Injustice : 21 Tales from North America and Europe. London: Routledge; 2022
- 11.de la Barrera F, Henriquez C, Ruiz V, Inostroza L. Urban Parks and Social Inequalities in the Access to Ecosystem Services in Santiago, Chile. IOP Conference Series: materials Science and Engineering. 2019;471(10):102042. doi: 10.1088/1757-899x/471/10/102042. [DOI] [Google Scholar]
- 12.OCDE. Health for Everyone? OECD; 2019. 10.1787/3c8385d0-en.
- 13.Jennings V, Gaither C. Approaching Environmental Health Disparities and Green Spaces: an Ecosystem Services Perspective. Int J Environ Res Public Health. 2015;12(2):1952–1968. doi: 10.3390/ijerph120201952. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Sathyakumar V, Ramsankaran R, Bardhan R. Linking remotely sensed Urban Green Space (UGS) distribution patterns and Socio-Economic Status (SES) - A multi-scale probabilistic analysis based in Mumbai. India GIScience & Remote Sensing. 2018;56(5):645–669. doi: 10.1080/15481603.2018.1549819. [DOI] [Google Scholar]
- 15.GLAAD. GLAAD Media Reference Guide - Transgender. GLAAD. Published April 19, 2017. https://www.glaad.org/reference/transgender. Accessed 1 Aug 2021.
- 16.Muehlenhard CL, Peterson ZD. Distinguishing Between Sex and Gender: history, Current Conceptualizations, and Implications. Sex Roles. 2011;64(11–12):791–803. doi: 10.1007/s11199-011-9932-5. [DOI] [Google Scholar]
- 17.WHO. WHO | Gender and Genetics. Whoint. Published online December 2010. https://doi.org.entity/genomics/gender/en/index.html. Accessed 1 Aug 2021.
- 18.WHO. Gender and health. World Health Organization. Published 2019. https://www.who.int/health-topics/gender#tab=tab_1. Accessed 1 August of 2021.
- 19.Astell-Burt T, Feng X, Kolt GS. Greener neighborhoods, slimmer people? Evidence from 246 920 Australians. Int J Obes. 2013;38(1):156–159. doi: 10.1038/ijo.2013.64. [DOI] [PubMed] [Google Scholar]
- 20.Kowaleski-Jones L, Wen M. Community and child energy balance: differential associations between neighborhood environment and overweight risk by gender. Int J Environ Health Res. 2013;23(5):434–445. doi: 10.1080/09603123.2012.755153. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Richardson EA, Mitchell R. Gender differences in relationships between urban green space and health in the United Kingdom. Soc Sci Med. 2010;71(3):568–575. doi: 10.1016/j.socscimed.2010.04.015. [DOI] [PubMed] [Google Scholar]
- 22.Vienneau D, de Hoogh K, Faeh D, Kaufmann M, Wunderli JM, Röösli M. More than clean air and tranquillity: residential green is independently associated with decreasing mortality. Environ Int. 2017;108:176–184. doi: 10.1016/j.envint.2017.08.012. [DOI] [PubMed] [Google Scholar]
- 23.Singh VK, Singh P, Karmakar M, Leta J, Mayr P. The journal coverage of Web of Science, Scopus and Dimensions: a comparative analysis. Scientometrics. 2021;126(6):5113–5142. doi: 10.1007/s11192-021-03948-5. [DOI] [Google Scholar]
- 24.Ossom Williamson P, Minter CIJ. Exploring PubMed as a reliable resource for scholarly communications services. J Med Libr Assoc. 2019;107(1). 10.5195/jmla.2019.433. [DOI] [PMC free article] [PubMed]
- 25.Ouzzani M, Hammady H, Fedorowicz Z, Elmagarmid A. Rayyan—a web and mobile app for systematic reviews. Syst Rev. 2016;5(1). 10.1186/s13643-016-0384-4. [DOI] [PMC free article] [PubMed]
- 26.de Keijzer C, Bauwelinck M, Dadvand P. Long-Term Exposure to Residential Greenspace and Healthy Ageing: a Systematic Review. Current Environmental Health Reports. 2020;7(1):65–88. doi: 10.1007/s40572-020-00264-7. [DOI] [PubMed] [Google Scholar]
- 27.Annerstedt M, Östergren PO, Björk J, Grahn P, Skärbäck E, Währborg P. Green qualities in the neighbourhood and mental health – results from a longitudinal cohort study in Southern Sweden. BMC Public Health. 2012;12(1). 10.1186/1471-2458-12-337. [DOI] [PMC free article] [PubMed]
- 28.Astell-Burt T, Mitchell R, Hartig T. The association between green space and mental health varies across the lifecourse. A longitudinal study. J Epidemiol Commun Health. 2014;68(6):578–583. doi: 10.1136/jech-2013-203767. [DOI] [PubMed] [Google Scholar]
- 29.Bos EH, van der Meulen L, Wichers M, Jeronimus BF. A Primrose Path? Moderating Effects of Age and Gender in the Association between Green Space and Mental Health. Int J Environ Res Public Health. 2016;13(5):492. doi: 10.3390/ijerph13050492. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Crouse DL, Pinault L, Christidis T, Lavigne E, Thomson EM, Villeneuve PJ. Residential greenness and indicators of stress and mental well-being in a Canadian national-level survey. Environ Res. 2021;192:110267. doi: 10.1016/j.envres.2020.110267. [DOI] [PubMed] [Google Scholar]
- 31.Gariepy G, Kaufman JS, Blair A, Kestens Y, Schmitz N. Place and health in diabetes: the neighbourhood environment and risk of depression in adults with Type 2 diabetes. Diabet Med. 2015;32(7):944–950. doi: 10.1111/dme.12650. [DOI] [PubMed] [Google Scholar]
- 32.Giano Z, Hubach RD, Deboy K, Meyers H, Currin JM, Wheeler DL. A comparative analysis of rural and urban MSM depressive symptomology: the mediating effects of loneliness. Psychol Sex. 2019;10(3):200–211. doi: 10.1080/19419899.2019.1593885. [DOI] [Google Scholar]
- 33.Mereish EH, Kuerbis A, Morgenstern J. A daily diary study of stressful and positive events, alcohol use, and addiction severity among heavy drinking sexual minority men. Drug Alcohol Depend. 2018;187:149–154. doi: 10.1016/j.drugalcdep.2018.03.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Khan H, Rafiq A, Shabaneh O, Gittner LS, Reddy PH. Current Issues in Chronic Diseases: a Focus on Dementia and Hypertension in Rural West Texans. Reddy PH, ed. J Alzheimer’s Dis. 2019;72(S1):S59-S69. 10.3233/jad-190893. [DOI] [PubMed]
- 35.Roe J, Thompson C, Aspinall P, et al. Green Space and Stress: evidence from Cortisol Measures in Deprived Urban Communities. Int J Environ Res Public Health. 2013;10(9):4086–4103. doi: 10.3390/ijerph10094086. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Brown S, Perrino T, Lombard J, et al. Health Disparities in the Relationship of Neighborhood Greenness to Mental Health Outcomes in 249,405 U.S. Medicare Beneficiaries. Int J Environ Res Publ Health. 2018;15(3):430. doi: 10.3390/ijerph15030430. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Besser LM, Lovasi GS, Michael YL, et al. Associations between neighborhood greenspace and brain imaging measures in non-demented older adults: the Cardiovascular Health Study. Soc Psychiatry Psychiatr Epidemiol. 2021;56(9):1575–1585. doi: 10.1007/s00127-020-02000-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Crouse DL, Pinault L, Balram A, et al. Urban greenness and mortality in Canada’s largest cities: a national cohort study. The Lancet Planetary Health. 2017;1(7):e289–e297. doi: 10.1016/s2542-5196(17)30118-3. [DOI] [PubMed] [Google Scholar]
- 39.Dalton AM, Jones AP, Sharp SJ, Cooper AJM, Griffin S, Wareham NJ, Residential neighbourhood greenspace is associated with reduced risk of incident diabetes in older people: a prospective cohort study. BMC Public Health. 2016;16(1). 10.1186/s12889-016-3833-z. [DOI] [PMC free article] [PubMed]
- 40.Jimenez MP, Oken E, Gold DR, et al. Early life exposure to green space and insulin resistance: an assessment from infancy to early adolescence. Environ Int. 2020;142:105849. doi: 10.1016/j.envint.2020.105849. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Miguet M, Venetis S, Rukh G, Lind L, Schiöth HB. Time spent outdoors and risk of myocardial infarction and stroke in middle and old aged adults: results from the UK Biobank prospective cohort. Environ Res. 2021;199:111350. doi: 10.1016/j.envres.2021.111350. [DOI] [PubMed] [Google Scholar]
- 42.Richardson E, Pearce J, Mitchell R, Day P, Kingham S. The association between green space and cause-specific mortality in urban New Zealand: an ecological analysis of green space utility. BMC Public Health. 2010;10(1). 10.1186/1471-2458-10-240. [DOI] [PMC free article] [PubMed]
- 43.da Silveira IH, Junger WL. Espaços verdes e mortalidade por doenças cardiovasculares no município do Rio de Janeiro. Rev Saude Publica. 2018;52(49):49. doi: 10.11606/s1518-8787.2018052000290. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Persson Å, Pyko A, Lind T, et al. Urban residential greenness and adiposity: A cohort study in Stockholm County. Environ Int. 2018;121(1):832–841. doi: 10.1016/j.envint.2018.10.009. [DOI] [PubMed] [Google Scholar]
- 45.Prince SA, Kristjansson EA, Russell K, et al. A Multilevel Analysis of Neighbourhood Built and Social Environments and Adult Self-Reported Physical Activity and Body Mass Index in Ottawa, Canada. Int J Environ Res Public Health. 2011;8(10):3953–3978. doi: 10.3390/ijerph8103953. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Wall MM, Larson NI, Forsyth A, et al. Patterns of Obesogenic Neighborhood Features and Adolescent Weight. Am J Prev Med. 2012;42(5):e65–e75. doi: 10.1016/j.amepre.2012.02.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Sanders T, Feng X, Fahey PP, Lonsdale C, Astell-Burt T. Greener neighbourhoods, slimmer children? Evidence from 4423 participants aged 6 to 13 years in the Longitudinal Study of Australian children. Int J Obes. 2015;39(8):1224–1229. doi: 10.1038/ijo.2015.69. [DOI] [PubMed] [Google Scholar]
- 48.Asri AK, Yu CP, Pan WC, et al. Global greenness in relation to reducing the burden of cardiovascular diseases: ischemic heart disease and stroke. Environ Res Lett. 2020;15(12):124003. doi: 10.1088/1748-9326/abbbaf. [DOI] [Google Scholar]
- 49.Bauwelinck M, Zijlema WL, Bartoll X, et al. Residential urban greenspace and hypertension: a comparative study in two European cities. Environ Res. 2020;191:110032. doi: 10.1016/j.envres.2020.110032. [DOI] [PubMed] [Google Scholar]
- 50.Bauwelinck M, Casas L, Nawrot TS, et al. Residing in urban areas with higher green space is associated with lower mortality risk: a census-based cohort study with ten years of follow-up. Environ Int. 2021;148:106365. doi: 10.1016/j.envint.2020.106365. [DOI] [PubMed] [Google Scholar]
- 51.Bell JF, Wilson JS, Liu GC. Neighborhood Greenness and 2-Year Changes in Body Mass Index of Children and Youth. Am J Prev Med. 2008;35(6):547–553. doi: 10.1016/j.amepre.2008.07.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Cummins S, Fagg J. Does greener mean thinner? Associations between neighbourhood greenspace and weight status among adults in England. Int J Obes. 2011;36(8):1108–1113. doi: 10.1038/ijo.2011.195. [DOI] [PubMed] [Google Scholar]
- 53.Huang WZ, Yang BY, Yu HY, et al. Association between community greenness and obesity in urban-dwelling Chinese adults. Sci Total Environ. 2020;702:135040. doi: 10.1016/j.scitotenv.2019.135040. [DOI] [PubMed] [Google Scholar]
- 54.Keijzer C, Basagaña X, Tonne C, et al. Long-term exposure to greenspace and metabolic syndrome: a Whitehall II study. Environ Pollut. 2019;255(2):113231. doi: 10.1016/j.envpol.2019.113231. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Liu T, Cai B, Peng W, et al. Association of neighborhood greenness exposure with cardiovascular diseases and biomarkers. Int J Hyg Environ Health. 2021;234:113738. doi: 10.1016/j.ijheh.2021.113738. [DOI] [PubMed] [Google Scholar]
- 56.Plans E, Gullón P, Cebrecos A, et al. Density of Green Spaces and Cardiovascular Risk Factors in the City of Madrid: the Heart Healthy Hoods Study. Int J Environ Res Public Health. 2019;16(24):4918. doi: 10.3390/ijerph16244918. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.O’Callaghan-Gordo C, Espinosa A, Valentin A, et al. Green spaces, excess weight and obesity in Spain. Int J Hyg Environ Health. 2020;223(1):45–55. doi: 10.1016/j.ijheh.2019.10.007. [DOI] [PubMed] [Google Scholar]
- 58.Sarkar C. Residential greenness and adiposity: findings from the UK Biobank. Environ Int. 2017;106:1–10. doi: 10.1016/j.envint.2017.05.016. [DOI] [PubMed] [Google Scholar]
- 59.Seo S, Choi S, Kim K, Kim SM, Park SM. Association between urban green space and the risk of cardiovascular disease: a longitudinal study in seven Korean metropolitan areas. Environ Int. 2019;125:51–57. doi: 10.1016/j.envint.2019.01.038. [DOI] [PubMed] [Google Scholar]
- 60.Xu L, Ren C, Yuan C, Nichol J, Goggins W. An Ecological Study of the Association between Area- Level Green Space and Adult Mortality in Hong Kong. Climate. 2017;5(3):55. doi: 10.3390/cli5030055. [DOI] [Google Scholar]
- 61.Yeager R, Riggs DW, DeJarnett N, et al. Association Between Residential Greenness and Cardiovascular Disease Risk. J Am Heart Assoc. 2018;7(24). 10.1161/jaha.118.009117. [DOI] [PMC free article] [PubMed]
- 62.Yang Y, Jiang Y, Xu Y, Mzayek F, Levy M. A cross-sectional study of the influence of neighborhood environment on childhood overweight and obesity: variation by age, gender, and environment characteristics. Prev Med. 2018;108:23–28. doi: 10.1016/j.ypmed.2017.12.021. [DOI] [PubMed] [Google Scholar]
- 63.White MJ, McClure E, Killeen J, et al. Changes in the Recreational Built Environment and Youth Body Mass Index. Acad Pediatr. 2021;21(1):76–83. doi: 10.1016/j.acap.2020.09.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.FernándezNúñez MB, et al. Gender and sex differences in urban greenness’ mental health benefits: a systematic review. Health Place. 2022;76:102864. doi: 10.1016/j.healthplace.2022.102864. [DOI] [PubMed] [Google Scholar]
- 65.Krieger N. Genders, sexes, and health: what are the connections—and why does it matter? Int J Epidemiol. 2003;32(4):652–657. doi: 10.1093/ije/dyg156. [DOI] [PubMed] [Google Scholar]
- 66.Morselli E, Frank Aaron P, Santos Roberta S, Fátima Luciana A, Palmer Biff F, Clegg DJ. Sex and Gender: critical Variables in Pre-Clinical and Clinical Medical Research. Cell Metab. 2016;24(2):203–209. doi: 10.1016/j.cmet.2016.07.017. [DOI] [PubMed] [Google Scholar]
- 67.Richie C. Sex, not gender. A plea for accuracy. Exp Mol Med. 2019;51(11):1- 1. 10.1038/s12276-019-0341-0. [DOI] [PMC free article] [PubMed]
- 68.Markevych I, Schoierer J, Hartig T, et al. Exploring pathways linking greenspace to health: theoretical and methodological guidance. Environ Res. 2017;158:301–317. doi: 10.1016/j.envres.2017.06.028. [DOI] [PubMed] [Google Scholar]
- 69.Nieuwenhuijsen MJ, Khreis H, Triguero-Mas M, Gascon M, Dadvand P. Fifty Shades of Green. Epidemiology. 2017;28(1):63–71. doi: 10.1097/ede.0000000000000549. [DOI] [PubMed] [Google Scholar]
- 70.Pretty J. How nature contributes to mental and physical health. Spiritual Health Int. 2004;5(2):68–78. doi: 10.1002/shi.220. [DOI] [Google Scholar]
- 71.Bahriny F, Bell S. Patterns of Urban Park Use and Their Relationship to Factors of Quality: a Case Study of Tehran. Iran Sustainability. 2020;12(4):1560. doi: 10.3390/su12041560. [DOI] [Google Scholar]
- 72.Marquet O, Hipp JA, Alberico C, et al. Short-term associations between objective crime, park-use, and park-based physical activity in low-income neighborhoods. Prev Med. 2019;126:105735. doi: 10.1016/j.ypmed.2019.05.023. [DOI] [PubMed] [Google Scholar]
- 73.Navarrete-Hernandez P, Vetro A, Concha P. Building safer public spaces: exploring gender difference in the perception of safety in public space through urban design interventions. Landsc Urban Plan. 2021;214:104180. doi: 10.1016/j.landurbplan.2021.104180. [DOI] [Google Scholar]
- 74.Sreetheran M, van den Bosch CCK. A socio-ecological exploration of fear of crime in urban green spaces – A systematic review. Urban Forestry & Urban Greening. 2014;13(1):1–18. doi: 10.1016/j.ufug.2013.11.006. [DOI] [Google Scholar]
- 75.Williams TG, Logan TM, Zuo CT, Liberman KD, Guikema SD. Parks and safety: a comparative study of green space access and inequity in five US cities. Landsc Urban Plan. 2020;201:103841. doi: 10.1016/j.landurbplan.2020.103841. [DOI] [Google Scholar]
- 76.Snedker KA. Neighborhood Conditions and Fear of Crime. Crime Delinq. 2010;61(1):45–70. doi: 10.1177/0011128710389587. [DOI] [Google Scholar]
- 77.Casper JM, Harrolle MG, Kelley K. Gender Differences in Self-Report Physical Activity and Park and Recreation Facility Use Among Latinos in Wake County North Carolina. Ann Behav Med. 2013;45(S1):49–54. doi: 10.1007/s12160-012-9435-9. [DOI] [PubMed] [Google Scholar]
- 78.MacBride-Stewart S, Gong Y, Antell J. Exploring the interconnections between gender, health and nature. Public Health. 2016;141:279–286. doi: 10.1016/j.puhe.2016.09.020. [DOI] [PubMed] [Google Scholar]
- 79.Tamosiunas A, Grazuleviciene R, Luksiene D, et al. Accessibility and use of urban green spaces, and cardiovascular health: findings from a Kaunas cohort study. Environ Health. 2014;13(1). 10.1186/1476-069x-13-20. [DOI] [PMC free article] [PubMed]
- 80.Cohen DA, Williamson S, Han B. Gender Differences in Physical Activity Associated with Urban Neighborhood Parks: findings from the National Study of Neighborhood Parks. Womens Health Issues. 2020;31(3). 10.1016/j.whi.2020.11.007. [DOI] [PMC free article] [PubMed]
- 81.Bocarro JN, Floyd MF, Smith WR, et al. Social and Environmental Factors Related to Boys’ and Girls’ Park-Based Physical Activity. Prev Chron Dis. 2015;12. 10.5888/pcd12.140532. [DOI] [PMC free article] [PubMed]
- 82.Child ST, McKenzie TL, Arredondo EM, Elder JP, Martinez SM, Ayala GX, Associations between Park Facilities, User Demographics, and Physical Activity Levels at San Diego County Parks, J Park Recreat Adm. 2014;32(4); https://js.sagamorepub.com/jpra/article/view/6078 Accessed March 31, 2022.
- 83.Foster C, Hillsdon M, Jones A, et al. Objective Measures of the Environment and Physical Activity—Results of the Environment and Physical Activity Study in English Adults. J Phys Act Health. 2009;6(s1):S70–S80. doi: 10.1123/jpah.6.s1.s70. [DOI] [PubMed] [Google Scholar]
- 84.Kaczynski AT, Besenyi GM, Stanis SAW, et al. Are park proximity and park features related to park use and park-based physical activity among adults? Variations by multiple socio-demographic characteristics. Int J Behav Nutr Phys Act. 2014;11(1). 10.1186/s12966-014-0146-4. [DOI] [PMC free article] [PubMed]
- 85.Devaux M, Sassi F. Social inequalities in obesity and overweight in 11 OECD countries. Eur J Public Health. 2011;23(3):464–469. doi: 10.1093/eurpub/ckr058. [DOI] [PubMed] [Google Scholar]
- 86.Wolch J, Jerrett M, Reynolds K, et al. Childhood obesity and proximity to urban parks and recreational resources: a longitudinal cohort study. Health Place. 2011;17(1):207–214. doi: 10.1016/j.healthplace.2010.10.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Marquet O, Hipp JA, Alberico C, et al. How Does Park Use and Physical Activity Differ between Childhood and Adolescence? A Focus on Gender and Race-Ethnicity. J Urban Health. 2019;96(5):692–702. doi: 10.1007/s11524-019-00388-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Hyun K, Redfern J, Peiris D, et al. Gender Inequalities in Cardiovascular Disease Prevention and Management in Australian Primary Health Care: results from the TORPEDO Study. Heart Lung Circ. 2016;25(S2):S319. doi: 10.1016/j.hlc.2016.06.756. [DOI] [Google Scholar]
- 89.Mauvais-Jarvis F, Merz NB, Barnes PJ, et al. Sex and gender: modifiers of health, disease, and medicine. Lancet. 2020;396(10250):565–582. doi: 10.1016/S0140-6736(20)31561-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Mitchell C, Clark A, Gilliland J. Built Environment Influences of Children’s Physical Activity: examining Differences by Neighbourhood Size and Sex. Int J Environ Res Public Health. 2016;13(1):130. doi: 10.3390/ijerph13010130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Ajuntament de Barcelona (n.d.), Ciutat Cuidadora; https://www.barcelona.cat/ciutatcuidadora/ca Accessed 10 October.
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