Aims and method:
Data from the Jackson Heart Study in the USA was investigated to explore the associations between neighbourhood social and physical environments and the prevalence of type two diabetes in African Americans. Measures of neighbourhood social environments, and food and physical activity resources were derived using survey and GIS-based methods.
Key findings:
· Higher neighbourhood social cohesion was associated with a 22% lower incidence of type two diabetes.
· Higher density of unfavourable food stores was associated with a 34% higher incidence of type two diabetes after adjusting for individual-level risk factors.
Reference:
Gebreab, S. Y., Hickson, D. A., Sims, M., Wyatt, S. B., Davis, S. K., Correa, A., & Diez-Roux, A. V. (2017). Neighborhood social and physical environments and type 2 diabetes mellitus in African Americans: The Jackson Heart Study. Health & Place, 43, 128-137.
Aims and method:
Examines associations between clusters of neighbourhood attributes and non-school moderate to vigorous physical activity, sedentary time (objectively measured) and television viewing among children. Four distinct clusters were identified from seven objectively measured neighbourhood attributes (land use mix, traffic exposure, playground and sports venue availability, intersections and cul-de-sacs within 800m, crime/postcode).
Key findings:
· The cluster characterised by mixed land use and many playgrounds and sport venues was associated with less television viewing on weekends.
· Associations between the neighbourhood attributes and moderate to vigorous physical activity, sedentary time and television viewing were limited, but were consistent with the broader literature suggesting that access to places for physical activity and sport are important.
Reference:
Timperio, A., Crawford, D., Ball, K., & Salmon, J. (2017). Typologies of neighbourhood environments and children's physical activity, sedentary time and television viewing. Health & Place, 43, 121-127.
http://www.sciencedirect.com/science/article/pii/S1353829216304439
Aims and method:
Examines three pathways by which single-use, low-density and land use patterns can adversely affect health: 1. reducing opportunity for active transportation, 2. stimulating increased time spent in vehicles, 3. increase per capita vehicle emissions and exposure to pollutants. The authors evaluated the association between a single index of walkability that incorporated land use mix, street connectivity, net residential density, and retail floor area ratios, with health-related outcomes in King County, Washington.
Key findings:
· A 5% increase in walkability is associated with a per capita 32.1% increase in time spent in physically active travel, a 0.23-point reduction in body mass index, and 6.5% fewer vehicle miles travelled,
· Also 5.6% fewer grams of oxides of nitrogen (NOx) emitted, and 5.5% fewer grams of volatile organic compounds (VOC) emitted.
Reference:
Frank, L. D., Sallis, J. F., Conway, T. L., Chapman, J. E., Saelens, B. E., & Bachman, W. (2006). Many pathways from land use to health: associations between neighborhood walkability and active transportation, body mass index, and air quality. Journal of the American planning Association, 72(1), 75-87.
http://www.tandfonline.com/doi/abs/10.1080/01944360608976725
Aims and method:
Discusses the relationship between sprawl and health based on eight considerations: air pollution, heat island effects, physical activity patterns, motor vehicles crashed, pedestrian injuries and fatalities, water quality and quantity, mental health, and social capital. This review article analyses the extensive literature review and data on each topic.
Key findings:
· Sprawl has negative health consequences (in obesity and inactivity) but suburban lifestyles can give access to the mental health benefits of greener and more peaceful environments
· Sprawl is associated with social stratification and loss of social capital and these phenomena are in turn associated with increased morbidity and mortality.
· Many health related threats associated with sprawl affect minority populations disproportionately, including air pollution and heat stress
Reference:
Frumkin, H. (2002). Urban sprawl and public health. Public health reports, 117(3), 201.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1497432/pdf/12432132.pdf
Aims and method:
Examines both objective and subjective assessments of neighbourhood conditions and the relative strength of their association with adult self-rated health. Data on perceived neighbourhood quality from Wave IV (2001/2002) of the nationally representative U.S. Americans Changing Lives study is merged with neighbourhood-level census tract data.
Key findings:
· Subjective assessments relating to perceived neighbourhood quality are strongly associated with health outcomes and more strongly associated than objective constructs such as neighbourhood disadvantage and affluence.
· The results demonstrate the independent associations between both objective and perceived neighbourhood quality and health, and highlight the particularly strong association between perceived neighbourhood quality and health.
Reference:
Weden, M. M., Carpiano, R. M., & Robert, S. A. (2008). Subjective and objective neighborhood characteristics and adult health. Social science & medicine, 66(6), 1256-1270.
http://www.sciencedirect.com/science/article/pii/S0277953607006260
Aims and method:
Surveys the state of the science on the impacts of urban design on human health and well-being. Drawing primarily on recent peer-reviewed literature in a broad array of health, planning, and environmental fields, it outlines the influence of design at three spatial scales on aspects of physical and mental health, and social and cultural vibrancy.
Key findings:
· At the parcel scale, greenery and access to it visually and physically are the principal keys to health.
· These elements must be incorporated into relatively high-density neighbourhood designs that include public buildings, open space, mixed land use, and pedestrian walkways to increase physical exercise and enhance civic life.
· Finally, neighbourhoods must be embedded in existing urban infrastructure to provide larger cultural and business opportunities and reduce reliance on driving.
Reference:
Jackson, L. E. (2003). The relationship of urban design to human health and condition. Landscape and urban planning, 64(4), 191-200.
http://www.sciencedirect.com/science/article/pii/S016920460200230X
Aims and method:
Studies the general health impacts of urban regeneration programmes focused on the improvement of place with initiatives that mainly invested in people. A quasi-experimental design approach in Dutch cities compared the trend in good perceived general health in the target districts with comparison districts. Mixed models assessed the rate of change in prevalence of good health for three and a half years, including a prolonged period before and after the start of the interventions.
Key findings:
· Neither the target districts that invested mainly in place nor the ones with interventions focused on people showed trends in general health different from the comparison districts (p>0.05). However, only districts with interventions focused on place showed no deterioration in general health during the intervention period.
· The trend changes in these districts differed significantly from the change in the districts that invested mainly in people (p<0.05).
· Urban regeneration programmes that focus on place are more effective in promoting general health
Reference:
Droomers, M., Jongeneel-Grimen, B., Bruggink, J. W., Kunst, A., & Stronks, K. (2016). Is it better to invest in place or people to maximize population health? Evaluation of the general health impact of urban regeneration in Dutch deprived neighbourhoods. Health & place, 41, 50-57.
http://www.sciencedirect.com/science/article/pii/S1353829216300788
Aims and method:
Aims to A linear regression analysis was run of the urban form indicator datasets for London (accessibility, building age, city-centre distance, connected node ratio, council tax bands, house or flat type, intersection density, green space, open space and population density) against the wellbeing and health indicators (childhood obesity, life expectancy and stated wellbeing).
Key findings:
The old inner suburbs seem best for life expectancy with well connected walkable neighbourhoods with most properties built before 1930 not too far from the city centre are most clearly associated with long life expectancy, with 50% of the increased life expectancy of their residents explained by urban form. Prosperity matters most in predicting well-being, longevity and childhood obesity, but walkability and urban form matters too
Green space and open space were not revealed as key determinants, with only one strong relation emerging: that between the presence of green space and lower childhood obesity. Here it is likely that methodological issues masked the great differences in the nature and distribution of green space between areas
The strongest urban form feature associated with good well-being and longevity outcomes was the connected node ratio. This is a measure of walkable connectivity defined as the number of real (non-dead end) intersections divided on the total number of intersections, normalized on neighbourhood area.
Reference:
Boys Smith, N. & Venerandi, A. (2016), Heart in the Right Street, London, Create Streets
http://dev.createstreets.com/front-page-2/campaigns-copy/heart-in-the-right-street/
The case for Healthy Places
Aims and method:
Explores the social and environment conditions associated with the creation of places that encourage healthier lifestyles by counteracting obesity, social isolation, and exposure to environmental toxins and pollutants. The method involves the reviewing of literature from disciplines that insect with place and health including epidemiology, medicine, psychology, and the social sciences
Key findings:
Placemaking projects improve social capital, sense of community, and individual well-being, including decreased reports of depression
Public space features and amenities that facilitate face-to-face interaction have been linked to reduced levels of psychological distress
Having clean and nearby park access has been associated with healthier weights and greater life satisfaction amongst users
Parks with higher levels of social capital generate more physical activity
Play streets can increase children’s physical activity, at no cost to their families
People living in neighbourhoods with high-quality parks or other public spaces report better mental health than those with low quality spaces
Neighbourhood food environments can determine obesity levels
There is a positive correlation between community gardens and mental and physical health
Walkable neighbourhoods foster social interaction and community cohesion, while perceptions of a neighbourhood’s walkability is often higher in those with higher levels of social capital
Reference:
PPS (2016). The case for Healthy Places: Improving health outcomes through placemaking. Project for Public Spaces
https://assets-global.website-files.com/5810e16fbe876cec6bcbd86e/5a626855e27c0000017efc24_Healthy-Places-PPS.pdf
Aims and method:
The study compared various measures of physical activity for residents of a new urbanist neighbourhood to those for a group of conventional suburban neighbourhoods in central North Carolina. The study used a quasi-experimental research design, and participants from two neighbourhoods filled out questionnaires.
Key findings:
· No statistically significant differences existed in overall physical activity between heads of households in the two neighbourhood types even after adjusting for individual and household characteristics.
· Residents of the new urbanist neighbourhood were more likely to be physically active in their neighbourhood than were residents of conventional suburbs and drove less leading to less vehicle miles, but this difference was due to their walking more for utilitarian purposes, as distinct from walking for leisure.
· This substitutive behaviour is consistent with the idea that individuals of like socioeconomic status may have similar time budgets for physical activity.
Reference:
Rodríguez, D. A., Khattak, A. J., & Evenson, K. R. (2006). Can New Urbanism Encourage Physical Activity?: Comparing a New Urbanist Neighborhood with Conventional Suburbs. Journal of the American Planning Association, 72(1), 43–54.
Aims and method:
This study aims to investigate the link between density and pandemic spread through a case study of Tehran that was the epicentre of the COVID-19 pandemic in Iran. The study utilises data obtained from an online platform and structural equation modelling analysis.
Key findings:
· Density alone cannot be considered a risk factor for the spread of COVID-19.
· Density alone did not explain the geographic distribution pattern of confirmed COVID-19 cases and deaths across the 22 municipal districts of Tehran.
Reference:
Khavarian-Garmsir, A. R., Sharifi, A., & Moradpour, N. (2021). Are high-density districts more vulnerable to the COVID-19 pandemic? Sustainable Cities and Society, 70, 102911–102911.
Aims and method:
The study examined built environment influences on travel, physical activity, food consumption, and health. It simultaneously examined diet and physical activity relationships with BMI and waist circumference (WC). Individual diet and travel diary data were linked to objective built-environment measures of walkability and retail food environments. BMI and WC were self-reported (n = 1,160). Some respondents wore accelerometers to objectively measure physical activity (n = 549). Pathways from the built environment through behaviour (walking and eating) to BMI and WC were assessed using path analysis.
Key findings:
· Healthy retail food environments were associated with healthy eating and lower BMI and WC.
· Walkability was associated with lower BMI and waist circumference through physical activity and active travel.
· Walkable neighbourhoods had less healthy food environments, but active travel was not associated with healthy eating or caloric intake.
· Neighbourhood walkability and food environments are important in shaping physical activity, diet, and obesity.
Reference:
Frank, L. D., Bigazzi, A., Hong, A., Minaker, L., Fisher, P., & Raine, K. D. (2022). Built environment influences on healthy eating and active living: The NEWPATH study. Obesity (Silver Spring, Md.), 30(2), 424–434.
Aims and method:
The research examined whether neighbourhood exposure to fast-food outlets and physical activity facilities were associated with adiposity in UK adults. It drew on cross-sectional observational data from UK Biobank to examine whether density of physical activity facilities and proximity to fast-food outlets were associated with waist circumference, body-mass index (BMI), and body fat percentage.
Key findings:
· There are strong associations between high densities of physical activity facilities and lower adiposity for adults in mid-life.
· Associations are weaker for access to fast food, but these are likely to be underestimated owing to limitations of the food environment measure.
Reference:
Mason, K. E., Pearce, N., & Cummins, S. (2018). Associations between fast food and physical activity environments and adiposity in mid-life: cross-sectional, observational evidence from UK Biobank. The Lancet. Public Health, 3(1), e24–e33.
Aims and method:
The research examined the association of obesity with residential density in a large and diverse population sample drawn from the UK Biobank to identify healthy-weight-sustaining density environments. This full-data, cross-sectional analysis used UK Biobank data for adult men and women aged 37–73 years from 22 cities across the UK. Residential unit density was objectively assessed within a 1 km street catchment of a participant’s residence. Other activity-influencing built environment factors were measured in terms of density of retail, public transport, and street-level movement density, which were modelled from network analyses of through movement of street links within the defined catchment.
Key findings:
· High residential density was significantly and independently associated with lower adiposity outcomes.
· The turning point was 1800 units per km2, below which desnity was increasingly positively related with adiposity, being associated with higher BMI, waist circumference, and whole body fat, and with increased odds of obesity. Above 1800 the reverse was true.
Reference:
Sarkar, C., Webster, C., & Gallacher, J. (2017). Association between adiposity outcomes and residential density: a full-data, cross-sectional analysis of 419 562 UK Biobank adult participants. The Lancet. Planetary Health, 1(7), e277–e288.