A novel method to evaluate the community built environment using photographs--Environmental Profile of a Community Health (EPOCH) photo neighbourhood evaluation tool

Clara K Chow, Daniel J Corsi, Karen Lock, Manisha Madhavan, Pam Mackie, Wei Li, Sun Yi, Yang Wang, Sumathi Swaminathan, Patricio Lopez-Jaramillo, Diego Gomez-Arbelaez, Álvaro Avezum, Scott A Lear, Gilles Dagenais, Koon Teo, Martin McKee, Salim Yusuf, Clara K Chow, Daniel J Corsi, Karen Lock, Manisha Madhavan, Pam Mackie, Wei Li, Sun Yi, Yang Wang, Sumathi Swaminathan, Patricio Lopez-Jaramillo, Diego Gomez-Arbelaez, Álvaro Avezum, Scott A Lear, Gilles Dagenais, Koon Teo, Martin McKee, Salim Yusuf

Abstract

Background: Previous research has shown that environments with features that encourage walking are associated with increased physical activity. Existing methods to assess the built environment using geographical information systems (GIS) data, direct audit or large surveys of the residents face constraints, such as data availability and comparability, when used to study communities in countries in diverse parts of the world. The aim of this study was to develop a method to evaluate features of the built environment of communities using a standard set of photos. In this report we describe the method of photo collection, photo analysis instrument development and inter-rater reliability of the instrument.

Methods/principal findings: A minimum of 5 photos were taken per community in 86 communities in 5 countries according to a standard set of instructions from a designated central point of each community by researchers at each site. A standard pro forma derived from reviewing existing instruments to assess the built environment was developed and used to score the characteristics of each community. Photo sets from each community were assessed independently by three observers in the central research office according to the pro forma and the inter-rater reliability was compared by intra-class correlation (ICC). Overall 87% (53 of 60) items had an ICC of ≥ 0.70, 7% (4 of 60) had an ICC between 0.60 and 0.70 and 5% (3 of 60) items had an ICC ≤ 0.50.

Conclusions/significance: Analysis of photos using a standardized protocol as described in this study offers a means to obtain reliable and reproducible information on the built environment in communities in very diverse locations around the world. The collection of the photographic data required minimal training and the analysis demonstrated high reliability for the majority of items of interest.

Conflict of interest statement

Competing Interests: The authors have declared that no competing interests exist.

Figures

Figure 1. How photos were taken.
Figure 1. How photos were taken.
This diagram shows how the photos were taken. The cross indicates an intersection. The individual must stand at their start point and take photos of each direction from their start points. (front, 2 sides, back). Then they go across from where they were standing to take a picture of their start point. All the photos must show clear view of the street and roads in the neighbourhood without any cars, buildings or pedestrians blocking the view.
Figure 2. Examples of high scoring communities.
Figure 2. Examples of high scoring communities.
In these communities from urban Canada and rural Colombia the common high-scoring characteristics are complete sidewalks, several planted trees, traffic signals, and pedestrian traffic signs, well maintained buildings and roads and the presence of street furniture such as benches and street lamps.
Figure 3. Examples of low-scoring communities.
Figure 3. Examples of low-scoring communities.
These are pictures of 2 low scoring communities overall. You can see in communities from urban Canada and rural India there is partial or no sidewalks, not many crosswalks, not many planted trees or aesthetically pleasing features. In addition the buildings are not well maintained.

References

    1. Sallis JF, Bowles HR, Bauman A, Ainsworth BE, Bull FC, et al. (2009) Neighborhood environments and physical activity among adults in 11 countries. Am J Prev Med 36: 484–490.
    1. Foster C, Hillsdon M, Jones A, Grundy C, Wilkinson P, et al. (2009) Objective measures of the environment and physical activity—results of the environment and physical activity study in English adults. J Phys Act Health 6 Suppl 1: S70–80.
    1. Cerin E, Conway TL, Cain KL, Kerr J, De Bourdeaudhuij I, et al. (2013) Sharing good NEWS across the world: developing comparable scores across 12 countries for the Neighborhood Environment Walkability Scale (NEWS). BMC Public Health 13: 309.
    1. Day K, Boarnet M, Alfonzo M, Forsyth A (2006) The Irvine-Minnesota inventory to measure built environments: development. Am J Prev Med 30: 144–152.
    1. Pomerleau J, Knai C, Foster C, Rutter H, Darmon N, et al. (2013) Measuring the food and built environments in urban centres: reliability and validity of the EURO-PREVOB Community Questionnaire. Public Health 127: 259–267.
    1. Schaefer-McDaniel N, Caughy MO, O'Campo P, Gearey W (2010) Examining methodological details of neighbourhood observations and the relationship to health: a literature review. Soc Sci Med 70: 277–292.
    1. Schaefer-McDaniel N, Dunn JR, Minian N, Katz D (2010) Rethinking measurement of neighborhood in the context of health research. Soc Sci Med 71: 651–656.
    1. Gasevic D, Vukmirovich I, Yusuf S, Teo K, Chow C, et al. (2011) A direct assessment of "obesogenic" built environments: challenges and recommendations. J Environ Public Health 2011: 161574.
    1. Chow CK, Lock K, Madhavan M, Corsi DJ, Gilmore AB, et al. (2010) Environmental Profile of a Community's Health (EPOCH): an instrument to measure environmental determinants of cardiovascular health in five countries. PLoS One 5: e14294.
    1. Corsi DJ, Subramanian SV, McKee M, Li W, Swaminathan S, et al. (2012) Environmental Profile of a Community's Health (EPOCH): an ecometric assessment of measures of the community environment based on individual perception. PLoS One 7: e44410.
    1. Wang C, Burris MA (1997) Photovoice: concept, methodology, and use for participatory needs assessment. Health Educ Behav 24: 369–387.
    1. Charreire H, Mackenbach JD, Ouasti M, Lakerveld J, Compernolle S, et al. (2014) Using remote sensing to define environmental characteristics related to physical activity and dietary behaviours: a systematic review (the SPOTLIGHT project). Health Place 25: 1–9.
    1. Chow CK, Lock K, Teo K, Subramanian SV, McKee M, et al. (2009) Environmental and societal influences acting on cardiovascular risk factors and disease at a population level: a review. Int J Epidemiol 38: 1580–1594.
    1. Cerin E, Saelens BE, Sallis JF, Frank LD (2006) Neighborhood Environment Walkability Scale: validity and development of a short form. Med Sci Sports Exerc 38: 1682–1691.
    1. Frank LD, Sallis JF, Saelens BE, Leary L, Cain K, et al. (2010) The development of a walkability index: application to the Neighborhood Quality of Life Study. Br J Sports Med 44: 924–933.
    1. Pikora TJ, Bull FC, Jamrozik K, Knuiman M, Giles-Corti B, et al. (2002) Developing a reliable audit instrument to measure the physical environment for physical activity. Am J Prev Med 23: 187–194.
    1. Weich S, Burton E, Blanchard M, Prince M, Sproston K, et al. (2001) Measuring the built environment: validity of a site survey instrument for use in urban settings. Health Place 7: 283–292.
    1. Teo K, Chow CK, Vaz M, Rangarajan S, Yusuf S (2009) The Prospective Urban Rural Epidemiology (PURE) study: examining the impact of societal influences on chronic noncommunicable diseases in low-, middle-, and high-income countries. Am Heart J 158: 1–7 e1..
    1. Lovasi GS, Schwartz-Soicher O, Neckerman KM, Konty K, Kerker B, et al. (2013) Aesthetic amenities and safety hazards associated with walking and bicycling for transportation in New York City. Ann Behav Med 45 Suppl 1: S76–85.
    1. Parsons JA, Singh G, Scott AN, Nisenbaum R, Balasubramaniam P, et al. (2010) Standardized observation of neighbourhood disorder: does it work in Canada? Int J Health Geogr 9: 6.
    1. Foster S, Giles-Corti B (2008) The built environment, neighborhood crime and constrained physical activity: an exploration of inconsistent findings. Prev Med 47: 241–251.
    1. Watson K, Roberts B, Chow C, Goryakin Y, Rotman D, et al. (2013) Micro- and meso-level influences on obesity in the former Soviet Union: a multi-level analysis. Eur J Public Health 23: 291–298.

Source: PubMed

3
Abonner