The Urban Built Environment, Walking and Mental Health Outcomes Among Older Adults: A Pilot Study

Roe, Jenny; Mondschein, Andrew; Neale, Chris; Barnes, Laura E.; Boukhechba, Medhi; López, Stephanie

doi:10.3389/fpubh.2020.575946

Cited by 76 publications

(60 citation statements)

References 56 publications

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“…The "five Ds" are density, design, diversity, distance to transit, and destination accessibility. Additionally, the aesthetic is another built environment feature that influences walking frequency among older adults (14,20). The meaning and represent variables (considering the best available data) of the five Ds and aesthetics are shown in Table 2.…”

Section: Variable Selectionmentioning

confidence: 99%

“…However, above the threshold of 6 km/km 2 , the sidewalk density showed a positive effect. This result makes sense because a denser sidewalk network indicates more walking-route choices, a walking-friendly environment, and better street connectivity, which increases older adults' willingness to walk (14,(38)(39)(40). These recommended values are significant to improving the cost-effectiveness of land use interventions.…”

Section: Non-linear Relationships With Built Environment Variablesmentioning

confidence: 99%

“…Therefore, they need safe facilities and spend more time in parks (12). Previous studies have indicated that a walking-friendly built environment, compact and mixed urban form, connective pedestrian infrastructure, accessible commercial and service opportunities, and green spaces and parks are essential determinants of older adults' walking (6,(13)(14)(15). However, most literature assumes that the relationships between the built environment and walking are linear or at least linear in variables.…”

Section: Introductionmentioning

confidence: 99%

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Non-linear Relationships Between the Built Environment and Walking Frequency Among Older Adults in Zhongshan, China

Zhao²,

et al. 2021

Front. Public Health

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Aim: Promoting walking activity is an effective way to improve the health of older adults. Walking frequency is a critical component of walking behavior and an essential determinant of daily walking levels. To decipher the association between the built environment and walking frequency among older adults, this study's aims are as follows: (1) to empirically test whether non-linear relationships between the two exist, and (2) to identify the thresholds of the built environment characteristics that promote walking.Methods: The walking frequency of old adults was derived from the Zhongshan Household Travel Survey (ZHTS) in 2012. The sample size of old adults aged 60 or over was 4784 from 274 urban and rural neighborhoods. A semi-parametric generalized additive model (GAMM) is used to analyze the non-linear or non-monotonic relationships between the built environment and the walking frequency among older adults.Results: We found that non-linear relationships exist among five out of the six built environment characteristics. Within certain thresholds, the population density, sidewalk density, bus stop density, land use mixture, and the percentage of green space are positively related to older adults' walking trips. Furthermore, the land use mixture and the percentage of green space show an inverse “V”-shaped relationship.Conclusions: Built environment features can either support or hinder the walking frequency among older adults. The findings in the current study contribute to effective land use and transport policies for promoting active travel among older adults.

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Section: Variable Selectionmentioning

confidence: 99%

Section: Non-linear Relationships With Built Environment Variablesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Non-linear Relationships Between the Built Environment and Walking Frequency Among Older Adults in Zhongshan, China

Zhao²,

et al. 2021

Front. Public Health

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“…Only 10.3% of them compared their application between cities (three in Europe and one in the USA). The majority of applications (74.4%) recruited male and female participants, and 46.2% of them recruited 10-50 participants, while a small number of studies focused on children and elderly groups of people [57,59]. 71.8% of the studies applied multiple sensors in a natural setting, while 28.2% chose to collect data in pre-defined and controlled settings.…”

Section: Assessment Of Current Applicationmentioning

confidence: 99%

Assessing the Current Integration of Multiple Personalised Wearable Sensors for Environment and Health Monitoring

Zhang

Amegbor

Sabel

2021

Sensors

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The ever-growing development of sensor technology brings new opportunities to investigate impacts of the outdoor environment on human health at the individual level. However, there is limited literature on the use of multiple personalized sensors in urban environments. This review paper focuses on examining how multiple personalized sensors have been integrated to enhance the monitoring of co-exposures and health effects in the city. Following PRISMA guidelines, two reviewers screened 4898 studies from Scopus, Web of Science, ProQuest, Embase, and PubMed databases published from January 2010 to April 2021. In this case, 39 articles met the eligibility criteria. The review begins by examining the characteristics of the reviewed papers to assess the current situation of integrating multiple sensors for health and environment monitoring. Two main challenges were identified from the quality assessment: choosing sensors and integrating data. Lastly, we propose a checklist with feasible measures to improve the integration of multiple sensors for future studies.

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“…In addition, effects of gray spaces in communities or cities, especially pedestrian systems, have often been studied and compared to those of green spaces or elements. Studies show that urban gray routes have less bene cial effects than urban green routes on residents' emotional health due to factors including higher levels of noise, particulate pollutants, and physiological stress [35] . In addition to the contrast with green spaces, correlations between walking activity in a neighborhood and both the number and spacing of street intersections in the neighborhood's pedestrian system have been detected [36] .…”

Section: Introductionmentioning

confidence: 99%

How do landscape elements affect public health through the physical neighborhood environmental factors? A cross-sectional study of a subtropical high-density city, Guangzhou

Fang

Que

et al. 2021

Preprint

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BACKGROUND: Neighborhood landscapes and environments influence public health through multiple pathways, but few studies have assessed their effects in high-density cities in subtropical monsoon regions, especially mediating pathways of the physical environmental factors.Purpose: Objectives of this study are to explore associations between neighborhood landscape elements and public health in a subtropical high-density urban context, elucidate mediating effects of physical environmental factors, and propose corresponding neighborhood renewal strategies.METHODS: Nine sampling sites were selected in Guangzhou, China, and cross-sectional health data were collected from 438 participating residents using the SF-36 scale. Landscape elements of the neighborhoods, including greenness, blue spaces, walking trail systems, hard open spaces, landscape architecture, and dedicated sports spaces were mapped by unmanned aerial vehicle surveys. Six physical environmental factors were also measured in the surveys: the heat stress index (HSI), relative humidity (RH), average wind speed (AWS), negative oxygen ions (NOI), <2.5 µM particulate matter (PM2.5), illumination (I), and noise (N). Analysis of variance (ANOVA) and general linear models were used to explore differences between neighborhoods in landscape elements. Relationships between public health and both landscape elements and physical environmental factors, as well as the mediating pathways involved, were explored by correlation analysis and Mediation analyses.Results: I, RH, HSI, NOI, and PM2.5 were significantly correlated with public health in the neighborhoods, as were greenness, blue spaces, walking trail systems, and hard open spaces. No significant correlations were found between public health and either landscape architecture or dedicated sports spaces. Multiple mediation analysis showed that greenness, blue spaces and hard open spaces significantly affected public health, with mediation by I, HSI and NOI, while walking trail systems had significant effects on public health mediated by I, HSI and NOI, but the total mediation effect was not significant.Conclusion: In subtropical high-density neighborhood, landscape elements have close associations with public health, especially greenness, blue spaces, walking trail systems, and hard open spaces, mainly mediated by effects on light, thermal, and atmospheric environments. Low-quality landscape architecture and space areas do not promote public health. These closely related landscape elements and physical environments need careful attention in community renewal efforts.

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The Urban Built Environment, Walking and Mental Health Outcomes Among Older Adults: A Pilot Study

Cited by 76 publications

References 56 publications

Non-linear Relationships Between the Built Environment and Walking Frequency Among Older Adults in Zhongshan, China

Non-linear Relationships Between the Built Environment and Walking Frequency Among Older Adults in Zhongshan, China

Assessing the Current Integration of Multiple Personalised Wearable Sensors for Environment and Health Monitoring

How do landscape elements affect public health through the physical neighborhood environmental factors? A cross-sectional study of a subtropical high-density city, Guangzhou

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