A comparative analysis of the impacts of objective versus subjective neighborhood environment on physical, mental, and social health

Zhang, Lin; Zhou, Suhong; Kwan, Mei‐Po

doi:10.1016/j.healthplace.2019.102170

Cited by 84 publications

(86 citation statements)

References 66 publications

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“…mental health was defined as the capacity to deal with, recover from and prevent psychological stress (e.g., anxiety and depression), as well as recognize one’s own intellectual and emotional potential [ 86 , 87 , 88 ]. Social health could be operationalized in terms of social support, referring to the ability to harbor good interpersonal relationships and social adaptation (e.g., interaction and collaboration) [ 85 , 86 , 87 ]. The study was used to investigate respondents’ willingness of park use to promote health by asking “Would you like to go to parks to improve your physical/mental/social health?” A five-point scale (from 1 = not at all to 5 = very willing) was implemented for the analysis to create the willingness index for health benefits.…”

Section: Methodsmentioning

confidence: 99%

“…These categories represent different dimensions of individual health that people would be willing to promote by going to green spaces. Physical health described the ability to protect and restore an organism (e.g., pressure and heart rate) from the changing circumstances of an external environment [85][86][87]. mental health was defined as the capacity to deal with, recover from and prevent psychological stress (e.g., anxiety and depression), as well as recognize one's own intellectual and emotional potential [86][87][88].…”

Section: Dependent Variablesmentioning

confidence: 99%

“…Physical health described the ability to protect and restore an organism (e.g., pressure and heart rate) from the changing circumstances of an external environment [85][86][87]. mental health was defined as the capacity to deal with, recover from and prevent psychological stress (e.g., anxiety and depression), as well as recognize one's own intellectual and emotional potential [86][87][88]. Social health could be operationalized in terms of social support, referring to the ability to harbor good interpersonal relationships and social adaptation (e.g., interaction and collaboration) [85][86][87].…”

Section: Dependent Variablesmentioning

confidence: 99%

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Impact of Perception of Green Space for Health Promotion on Willingness to Use Parks and Actual Use among Young Urban Residents

Chen

Luo

et al. 2020

IJERPH

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Promoting the use of green space is a fundamental way to improve physical and mental health and to enhance the quality of life of urban residents. In response to increasing demand for green space in cities, the impact of perception of green space for health promotion on willingness to use parks and actual use among young urban residents was investigated in this study. A total of 1135 young residents (ages 18–35) in three cities in China were surveyed by online questionnaire. A group of multiple regression models was constructed to investigate the influencing perception factors of participants’ willingness to use parks and actual use. The results revealed that the young residents’ perception of green space components for health promotion (green space access, types, sizes, plants, water, sensory features, microclimate environments and amenity facilities) had a greater effect on their willingness to use parks and to promote health, while it was less influential with respect to their actual park use behavior (frequency and duration). Among these variables, green space access is a critical concern for willingness to use toward parks. The disparities of perception of green space for health promotion effect on willingness to use a park and actual use provide a better understanding of the psychological factors affecting park use among young residents. The findings also provided some implications for public health policymakers, urban planners and landscape architects in designing parks to encourage visitation by young people.

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Section: Methodsmentioning

confidence: 99%

Section: Dependent Variablesmentioning

confidence: 99%

Section: Dependent Variablesmentioning

confidence: 99%

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Impact of Perception of Green Space for Health Promotion on Willingness to Use Parks and Actual Use among Young Urban Residents

Chen

Luo

et al. 2020

IJERPH

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“…Over recent years, the fact that neighbourhood characteristics also have a big impact on the health and well-being of children, as well as the fact that the interest of many researchers has focused on neighbourhoods and development, especially on neighbourhood disorganisation and related characteristics, such as instability (Liu, Kia-Keating, Santacrose, Modir 2018: 204), has been discussed. According to Zhang et al (Zhang, Zhou, Kwan 2019), most of the studies on neighbourhood health have been conducted based on two health dimensions (e.g., body mass index, diseases, mental health) or general health (self-rated health) and other factors (Simanskiene, Kutkaitis, Buciene 2013: 156;Kuhlmann 2003:92).…”

Section: Theoretical Findings On Self-evaluation Of Health In the Regmentioning

confidence: 99%

Health Self-Evaluation in Regions of Latvia: the Development of the Situation and Challenges

Sloka¹,

Čipāne²,

Vasina³

et al. 2021

Regional Formation and Development Studies

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The self-evaluation of health in Latvia has recently gained a special awareness, due to the financing for health being among the lowest in the European Union. Latvia has recently faced various difficulties, such as problems paying the salaries of medical personnel, and medical personnel emigrating to work in other countries. The aim of the study is to analyse the self-evaluation of health by inhabitants in the regions of Latvia. Research methods used in the preparation of this paper: the analysis of scientific publications and results of previously conducted research; the analysis of the results of a survey on household income and expenses conducted by the EU-SILC and the European Central Bank, compared with the results from other EU countries. The results of the survey are analysed using descriptive statistics indicators and cross-tabulations for the regions of Latvia. For areas, urban-rural living and ANOVA analysis of variance are used. To analyse self-evaluations by regions, the correlation of the relationship between health self-evaluation and educational level is used. The results of the analysis indicate that the situation of the regions of Latvia in the context of health self-evaluation is very different, and that there are very big demands on decision makers to find the best possible solution.

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“…A growing body of literature has suggested that the neighborhood built environment influences residents' willingness and ability to conduct PA, and that changing the neighborhood built environment may have an intervening effect on residents' behaviors concerning PA [9][10][11][12][13][14][15][16][17][18]. Aspects of the built environment that shape residents' PA levels include residential density [19], recreational facilities [20,21], street connectivity [22], street intersection density [12], landuse mix [23,24], access to transit [25], and urban greenery [26][27][28][29][30][31][32]. Among them, access to PA facilities (e.g., gyms, swimming pools, and soccer fields) is found to be closely related to residents' engagement in PA, and to urban planners and designers, increasing the provision of PA facilities is thought to be an effective and straightforward way to increase residents' PA levels [10,33].…”

Section: Introductionmentioning

confidence: 99%

The association between spatial access to physical activity facilities within home and workplace neighborhoods and time spent on physical activities: evidence from Guangzhou, China

et al. 2020

Self Cite

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Background: Urban residents from the developing world have increasingly adopted a sedentary lifestyle and spend less time on physical activities (PA). Previous studies on the association between PA facilities and individuals' PA levels are based on the assumption that individuals have opportunities to use PA facilities within neighborhoods all day long, ignoring the fact that their willingness and opportunities to use nearby facilities depend on how much discretionary time (any time when people have a choice what to do) they have. Further, scant attention has been paid to the influence of PA facilities within both residential and workplace neighborhoods in the dense urban context. To address the above research gaps, this study investigated the links between the spatial access to PA facilities within home/workplace neighborhoods and time spent on PA among working adults, focusing on whether results were different when different measures of accessibility were used and whether participants' discretionary time over a week affected their time spent on PA. Method: This study used data from a questionnaire survey (n = 1002) in Guangzhou between June and July 2017 and point of interest (POI) data from online mapping resources. Outcome variables included the amount of time spent on physical activity/moderate and vigorous intensity physical activity (PA/MVPA) over the past week. Home/ workplace neighborhoods were measured as different distance buffers (500 m circular buffers, 1000 m circular buffers, and 1080 m network buffers) around each respondent's home/workplace. Spatial access to PA facilities was measured using two indicators: the counts of PA facilities and proximity to PA facilities within home/workplace neighborhoods. The amount of discretionary time was calculated based on activity log data of working day/weekend day from the Guangzhou questionnaire survey, and regression models were used to examine relationships between the spatial access of PA facilities, the time spent on PA/MVPA, and the amount of discretionary time, adjusted for covariates. Associations were stratified by gender, age, education, and income. Results: Using different measures of accessibility (the counts of and proximity to PA facilities) generated different results. Specifically, participants spent more time on PA/MVPA when they lived in neighborhoods with more PA facilities and spent more time on MVPA when worked in closer proximity to PA facilities. A larger amount of discretionary

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A comparative analysis of the impacts of objective versus subjective neighborhood environment on physical, mental, and social health

Cited by 84 publications

References 66 publications

Impact of Perception of Green Space for Health Promotion on Willingness to Use Parks and Actual Use among Young Urban Residents

Impact of Perception of Green Space for Health Promotion on Willingness to Use Parks and Actual Use among Young Urban Residents

Health Self-Evaluation in Regions of Latvia: the Development of the Situation and Challenges

The association between spatial access to physical activity facilities within home and workplace neighborhoods and time spent on physical activities: evidence from Guangzhou, China

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