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Data Day 2012_James_Accessing Health Risks and Using Health Data
1. AN INTRODUCTION TO PRIMARY DATA
COLLECTION AND ASSESSMENT TOOLS AND
METHODOLOGIES FOR UNDERSTANDING
LOCAL FOOD ENVIRONMENT, WA LK ABILITY
A ND MOR E
PETER JAMES
PUBLIC HEALTH SPECIALIST
METROPOLITAN AREA PLANNING COUNCIL
JANUARY 27, 2012
Accessing and Using Health Data
about Your Neighborhood
2. Outline
Background on the Built Environment and Health
Measures of the Physical Activity Environment
Neighborhood Environment Walkability Survey Example
My Research Example
Walk Score Example
Irvine Minnesota Inventory Example
Measures of the Food Environment
Food Atlas Example
NEMS-R and NEMS-S Example
Other Relevant Measures
3. The Built Environment
Land-Use Patterns
Spatial distribution of human activities
Transportation Systems
Physical infrastructure and services that provide the spatial
links or connectivity among activities
Design Features
Aesthetic, physical, and functional qualities of the built
environment, such as the design of buildings and streetscapes,
and relates to both land use patterns and the transportation
system
4. Low Density, Low Connectivity,
Low Land Use Mix
High Density, High Connectivity,
High Land Use Mix
Background: The Built Environment and Health
5. The Built Environment and Health
Air Quality
Motor Vehicle Crashes and Motor Vehicle-
Pedestrian Collisions
Mental Health
Water Quantity and Quality
Disparities
Physical Activity
Diet
6. The Common Roots of Urban Planning and Public Health
Industrial Revolution and
Congestion in Cities
Infectious disease
Cholera, typhoid, yellow fever,
smallpox, and tuberculosis
Deplorable housing
conditions
Poor ventilation
Polluted waterways
Toxic industries in close
proximity to residences
7. The Common Roots of Urban Planning and Public Health
Public Health Responses
1842: Report on the Sanitary
Conditions of the Laboring
Population of Great Britain
1850: Report of the
Sanitary Commission of
Massachusetts
1916: Zoning laws in
New York City
1924: Standard Zoning
Enabling Act
Lemuel Shattuck
8. Divergence of Public Health and Urban Planning
Germ Theory
Focus on single-agent causes of specific diseases
Economics
Investment in new communities
Transportation
Investment in the automobile
Dismantling of transit
Federal Policy
Federal Housing Administration
Veterans Affairs Mortgage Program
10. Modern Urban Form: Sprawl
Development outpaces population growth
Low density
Rigidly separated homes, shops, and
workplaces
Roads marked by large blocks and poor
access
Lack of well-defined activity centers, such as
downtowns
Lack of transportation choices
Relative uniformity of housing options
11. Urban Form and Transportation
Sprawling areas
exhibit
Higher rates of
vehicle ownership
More vehicle-miles
traveled (VMTs)
per person
Lower percentages
of commuters
taking transit or
walking to work
12. Air Quality
Urban form determines transportation
patterns
Transportation patterns determine vehicle
emissions
Vehicle emissions are associated with
Respiratory disease
Cardiovascular disease
Cancer
Reproductive outcomes
Premature mortality
13. Motor Vehicle Crashes and Motor Vehicle-
Pedestrian Collisions
Urban form is associated with
VMTs
VMTs increase time at risk to the
hazards of motor vehicle travel
Urban form can dictate vehicle
speeds
Long commutes can lead to
fatigue and the increased risk of
a crash
14. Motor Vehicle Crashes and Motor Vehicle-
Pedestrian Collisions
NHTSA statistics
Less sprawling cities
New York (2.30 fatalities per 100,000 population)
San Francisco (2.45 fatalities per 100,000 population)
Portland (3.21 fatalities per 100,000 population)
More sprawling cities
Houston (10.08 fatalities per 100,000 population)
Atlanta (12.72 fatalities per 100,000 population)
Tampa (16.15 fatalities per 100,000 population)
Exceptions to this rule
Los Angeles (5.79 fatalities per 100,000 population)
Detroit (10.93 fatalities per 100,000 population)
15. Mental Health
Urban form is associated with VMTs
Higher VMTs are associated with higher
levels of stress
Known stress responses due to driving and
commuting
Chronic stress from driving
Cardiovascular disease
Musculoskeletal symptoms
16. Mental Health
Depression
Limits on physical activity may deny
a treatment for depression
Low density leads to social isolation,
which leads to depression
Monotony and aesthetic qualities of
sprawl may be root of depression
Road rage
Events in which an angry or
impatient driver tries to kill or injure
another driver after a traffic dispute
Risk factors are traffic volume and
traffic distance
17. Water Quantity and Quality
Water quality
Biological pollutants
Hepatitis A or E
Coxsackie viruses, Adenoviruses,
and Norwalk viruses
Pathogenic bacteria Helicobacter or
Legionella.
Parasites Cryptosporidium and
Giardia
Chemical pollutants
Pesticides, metals, nitrates,
radionuclides, and organic
chemicals
Disinfection byproducts, such as
iodinated trihalomethanes
18. Water Quantity and Quality
Decreasing density, proximity, and connectivity require
more impervious paved surface per capita
Decreases the ability of rainfall to recharge groundwater aquifers
High velocity runoff increases erosion and speeds the transfer of
pollutants into the water supply
Storm surges overload sewage treatment plants and discharge excess
untreated water directly into adjacent bodies of water, leading to
bacterial contamination
Modeling has shown that higher density development
reduces peak flows and total runoff volume
Higher rates of motor vehicle use leads to higher levels of
pollutants in runoff
19. Disparities
Low SES populations
More likely to
rely on walking and public transit to commute
live near high-speed traffic areas with fewer clearly marked
and safe crossing routes
Pedestrian fatalities
Atlanta pedestrian fatality rates during 1994-1998: 9.74 for
Hispanics, 3.85 for African Americans, and 1.64 for Whites
Hispanics: 8% of the population of the Virginia suburbs of
Washington, DC; 21% of pedestrian fatalities
20. Disparities
Older and Disabled
Persons
Limited mobility
Reliance on
automobiles
Fewer transit options
Social isolation
cognitive decline
21. Physical Activity
Obesity and overweight
Type 2 diabetes mellitus,
gallbladder disease, coronary heart
disease, high blood cholesterol
level, high blood pressure,
osteoarthritis, sleep apnea, stroke,
liver disease, musculoskeletal
disease, reproductive function,
some forms of cancer, and mortality
Sedentary lifestyle
Depression, hypertension, type 2
diabetes mellitus, colon cancer,
osteoarthritis, osteoporosis,
coronary heart disease, and all-
cause mortality
22. Physical Activity
Three factors of urban form that may determine
physical activity
Transportation systems connect places and determine
the feasibility of using different modes of transport
Land use patterns determine the proximity of
destinations and thereby the feasibility of walking or
cycling
Urban design characteristics alter individual perception
of whether the environment is desirable or inviting for
physical activity
23. Physical Activity
Sprawling communities associated with
Lower rates of physical activity
Higher body mass index (BMI)
Higher prevalence of hypertension
Overweight and obesity associated with
Streets with no sidewalks or sidewalks on one side only
Lower residential density
Lower land-use mix
Lower street connectivity
24. Diet
The presence or density of food retailers and restaurants is
thought to be related to diet
Supermarkets provide a variety of affordable healthy foods, such as
fresh fruits and vegetables and whole grains
Convenience stores supply highly processed foods rather than fresh
foods
Fast food outlets offer large portion sizes and energy-dense foods
Growing literature shows diet correlated with the presence
or density of food retailers and restaurants
Density of supermarkets associated with higher fruit and vegetable
consumption and lower obesity prevalence
25. Summary
Public health historically linked to urban planning
The built environment is associated with
Air pollution
Water quality and quantity
Motor vehicle crashes
Pedestrian injuries and fatalities
Mental health
Health disparities
Physical activity
Diet
26. Significance
The health behaviors and health outcomes
discussed are major contributors to
morbidity and mortality in the US
The built environment is a ubiquitous and
modifiable exposure
Built environment studies generally have
small sample sizes, cover small geographic
ranges, and are cross-sectional
27. Physical
activity
Obesity
Supermarkets
and grocery
stores
Convenience
stores
Fast-food
restaurants
Sit-down
restaurants
Access to
physical activity
resources
Access, density,
and diversity of
destinations
Residential or
population
density
Street
connectivity
Access
/
density
food
retail
Access
/
density
food
service
Physical
activity
environment
Food
environment
* Food retail and food service facilities could be also
be physical activity destinations.
Dietary
intake
Conceptual model for the effects of the built environment on physical activity and obesity
Disease /
Mortality
29. I S S U E S , M E A S U R E S , A N D E X A M P L E S
The Physical Activity
Environment
30. Physical Activity Environment: Issues to Consider
Scale
County, city, neighborhood, street?
What to Measure
Walking destinations
Connectivity
Micro-scale factors
Walkability?
31. Physical Activity Environment Measures
Self-Report
Questionnaires about perceptions of built
environment
Neighborhood Environment Walkability Scale
Example
32. Physical Activity Environment Measures
Geographic Information System (GIS)-based
Software system linking multiple data sources to place
County Sprawl Index
http://www.smartgrowthamerica.org/documents/MeasuringSpr
awlTechnical.pdf
Walkability Index from Frank et al.
LUM, Retail Floor Area Ratio, Intersection Density,
Residential Density
Primary Research Example
Walk Score Example
33. Physical Activity Environment Measures
Observations or Audits
Reliable and valid measures of the ground-level built environment
Require clear definitions and observer training
Agreement between observers indicates quality
SPACES (Systematic Pedestrian and Cycling Environment Scan
instrument
One of the first audits of the built environment for physical activity
Am J Prev Med 2002
http://sydney.edu.au/medicine/public-
health/cpah/research/spaces.php
BRAT-DO (Bedimo-Rung Assessment Tools-Direct Observation)
Focus on parks
Irvine Minnesota Inventory Example
34. E X A M P L E 1
S E L F - R E P O R T
Neighborhood Environment
Walkability Survey-Abbreviated
35. Neighborhood Environment Walkability Survey-Abbreviated
The NEWS-A assesses perceived residential density,
land use mix (including both indices of proximity
and accessibility), street connectivity, infrastructure
for walking/cycling, neighborhood aesthetics, and
traffic and crime safety
http://www.activelivingresearch.org/files/NEWS_
Abbreviated.pdf
36. E X A M P L E 2
G I S - B A S E D
GIS-Based Assessment of the
Physical Activity Environment for
Research
37. Exposure Assessment: Residence-Level Built Environment
Residential density
Census tract density
from US Census
data
Land use mix
Location density
from InfoUSA
Street connectivity
Intersection density
from StreetMap
USA
38. Street Network Buffers
800m road network buffers
around geocoded home
addresses, excluding
interstates and ramps
800m is the upper limit of
what individuals are
willing to walk, based on
urban planning literature
Non-interstate roads are
generally walkable;
however, we did not
specifically measure micro-
environment features, such
as sidewalk availability,
crosswalks, etc.
39. Street Network Buffers
Polygons created
radiating from residence
800m via local road
network with 50m on
each side of the road
Estimates of the area that
is 800m walking distance
from each residence via
the local road network
40. Residential Density
Area weighted sum for
network buffers based
on intersecting census
tracts from US 2000
Census data
41. Residential Density
Area weighted sum for
network buffers based
on intersecting census
tracts from US 2000
Census data
42. Land Use Mix
Location Count:
Counts of businesses
within 800m network
buffers based on stores,
facilities, and services
from 2009 InfoUSA
spatial database on
businesses, which
include grocery stores,
restaurants, banks, etc.
43. Land Use Mix
Location Count:
Counts of businesses
within 800m network
buffers based on stores,
facilities, and services
from 2009 InfoUSA
spatial database on
businesses, which
include grocery stores,
restaurants, banks, etc.
44. Street Connectivity
Intersection Count:
Number of 3-way or
greater intersections
per square km within
each network buffer
Interstates and ramps
will be excluded
45. Street Connectivity
Intersection Count:
Number of 3-way or
greater intersections
per square km within
each network buffer
Interstates and ramps
will be excluded
47. Walk Score
http://www.walkscore.com/
The “Street Smart” Walk Score algorithm is based on
walking distances from an address to a diverse set of
nearby amenities
Certain categories are weighted more heavily than others to
reflect destinations associated with more walking trips
In addition, road connectivity metrics such as intersection
density and average block length are factored into the score
Walk Score uses a variety of data sources such as Open
Street Map, local business listings, and public data sources
such as parks and schools
48. E X A M P L E 4
O B S E R V A T I O N O R A U D I T
Irvine Minnesota Inventory
49. Irvine Minnesota Inventory
Understanding the impact of the built environment on
physical activity levels requires reliable methods to
measure potentially relevant built environment features
The Irvine Minnesota Inventory was designed to measure a
wide range of built environment features that are
potentially linked to active living, especially walking
The Irvine Minnesota inventory includes 160 items, which
cover four domains: accessibility (62 items), pleasurability
(56 items), perceived safety from traffic (31 items), and
perceived safety from crime (15 items)
50. Irvine Minnesota Inventory
The inventory includes both a paper version and a
version in Microsoft Access, to allow data to be input
into the computer directly
The items in the inventory were tested for inter-rater
reliability in both southern California and the
Minneapolis - St. Paul metropolitan area
Inter-rater reliability was high, with 77 percent of the
items attaining 80% agreement or better in both
southern California and Minnesota reliability tests
51. Irvine Minnesota Inventory
https://webfiles.uci.edu/kday/public/Irvine_MN_I
nventory.pdf
Link with full information:
https://webfiles.uci.edu/kday/public/index.html
52. Interested in Learning More?
Brownson RC, Hoehner CM, Day K, Forsyth A, Sallis
JF. Measuring the built environment for physical
activity: state of the science. Am J Prev Med. 2009
Apr;36(4 Suppl):S99-123.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2
844244/?tool=pubmed
53. I S S U E S , M E A S U R E S , A N D E X A M P L E S
The Food Environment
54. Food Environment: Issues to Consider
Scale
Community Nutrition Environments
Type and location of food outlets
Accessibility (e.g., hours)
Consumer Nutrition Environment
Availability of healthy food choices
Pricing, promotion, placement
Information availability
Relevant Measure
Grocery store v. Fast food
Proximity to closest v. Density
Not covered here: School or Home Nutrition Environment?
55. Food Environment Measures
Self-report
Reports: How far to the nearest store?
Perceptions: How easy is it to find fresh fruits or
vegetables?
GIS-Based
Food Environment Atlas Example
56. Food Environment Measures
Observation/Audit
Nutrition Environment Measures Survey for Restaurants
and Stores (NEMS-R, NEMS-S ) Example
Combinations of Both
Block JP, Christakis NA, O'Malley AJ, Subramanian SV.
Proximity to food establishments and body mass index in
the Framingham Heart Study offspring cohort over 30
years. Am J Epidemiol. 2011 Nov 15;174(10):1108-14.
57. E X A M P L E 5
G I S - B A S E D
Food Environment Atlas
61. Interested in Learning More?
Lytle LA. Measuring the food environment: state of
the science. Am J Prev Med. 2009 Apr;36(4
Suppl):S134-44.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2
716804/
62. Other Relevant Measures
Parks
Environmental Assessment of Public Recreation Spaces
http://www.activelivingresearch.org/node/10651
Paths
Path Environmental Audit Tool
http://www.activelivingresearch.org/files/PEAT_MANUAL.doc
Neighborhood Safety Audits
Toronto Safety Checklist
http://www.toronto.ca/safetyaudits/pdf/scarb_safety_checklist.
pdf
63. Thank You!
Any questions? Feel free to email me at:
pjames@mapc.org
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Editor's Notes
Thank you for coming. Today I’m going to speak about my proposal to study the effect of the built environment on health and health behaviors.
Built environment: Land use patterns, transportation systems, and design featuresDensity, street connectivity, and land-use mix have consistently been associated with walking and other forms of physical activity, BMI, and hypertensionSupported by concepts from the field of urban planning, it is thought that these features create opportunities for walking, as neighbors’ homes, stores, restaurants, and other destinations are in closer proximity and easier to reach through active transportation, such as walking or bicycling.
The significance of this research is that these health behaviors and health outcomes that may be related to the built environment make up a large proportion of the burden of the disease in the US.If these relationships are causal, then urban scale interventions may have an impact on changing the distribution of these outcomes.The BE is a ubiquitous and modifiable exposure. Everyone is exposed to some type of built environment, and these built environments can be modified through land use policies, zoning, or transportation planning, or MOVINGHowever, much of the research on the built environment has small sample sizes, covers small geographic ranges, and is cross sectional.I hope to fill some of these research gaps in order to better understand whether the built environment affects health and health behaviors.
As I mentioned earlier, the three consistent features of the built env associated with health are residential density, which we will measure with US Census Data.Then land use mix, which we will measure with InfoUSA data. And then street connectivity, which we will measure with data from StreetMap USA.
In order to build these measures, we use a geographic information system. Using streetmap USA data, we constructed 800m network buffers around each nurses’ home. We limited the road network to walkable roads, and then traced a path from the homes going out 800m. We then create a polygon with 50m on each side of this path.Note: These are not nurses’ addresses, so don’t worry about confidentiality.
We chose 800m because the planning literature commonly uses this estimate as the average limit of what people are willing to walk.Note: These are not nurses’ addresses, so don’t worry about confidentiality.
From these buffers, we build individual residence-level measures for each nurse. For population density, we calculate an area-weighted sum for census tracts that intersect with our network buffers.
From these buffers, we build individual residence-level measures for each nurse. For population density, we calculate an area-weighted sum for census tracts that intersect with our network buffers.Each house gets its own unique value.
For land use mix, we use the infoUSA database, which is a national database of all the businesses in the US geocoded. We then calculate counts of businesses within the network buffer as an estimate of land use mix.
For street connectivity, we use intersection count, which is a count of the number of 3-way intersections in the network buffer.