methods to stimulate community action using gis mapping with local data collection to assess food...
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Methods to stimulate community action using GIS mapping with local data
collection to assess food availability and marketing in low-income neighborhoods
Alyssa Ghirardelli, MPH, RDValerie Quinn, MEd, Ellen Feighery, RN, MS, Matthew Stone, MPH,
Sharon Sugerman, MS, RD, Sue Foerster, RD, MPH
Network for a Healthy CaliforniaCancer Prevention & Nutrition Section
Communities of Excellence in Nutrition, Physical Activity and Obesity PreventionCX3
APHA: November 5, 2007
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Documents the physical environment and empowers local action to change the environment to support individual behaviors
A planning model that involves assessing communities in relation to a variety of obesity prevention benchmarks known as community indicators and assets
Based on California Tobacco Control Section initiative, CX (Communities of Excellence)
3 = nutrition, physical activity and obesity prevention
CX3 Defined
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CX3 Standardized Indicators and Assets
Indicators organized into 6 Community Environments: Neighborhood Preschool School After-school Worksite Government
Assets organized into: Health department
infrastructure Political will Community
infrastructure
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CX3 Goals Empower communities
Assess a community’s strengths, assets, gaps & weaknesses
Evidence-based priority setting Develop strategic local data-driven action
plans and education strategies Broaden participation at local level Evaluate progress
Generate local policy action
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61 Local Health Departmentsin California (58 counties, 3 cities)
Implementation with Network for a Healthy California 6 Pilot Sites in 2006 16 Additional Sites in 2007
12 TCE (The California Endowment) sites-trained Mini-grants Central California Regional Obesity Prevention Projects
34 Total Health Departments trained Dense urban, suburban, rural, and remote areas
CX3 Sites:
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Chose 3-6 low-income neighborhoods Each neighborhood 1-5 census tracts >50% of population in census tract at or
below 185% Federal Poverty Level (FPL) Other selection factors
Established partnerships Race/Ethnic make-up Rural and Urban (for some sites) Obesity rates (used by one site)
CX3 Neighborhood Selection:Network for a Healthy California
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CX3 Data: 3-6 low-income neighborhoods
#1: Mapping Access to Supermarkets
Markets with >20 employees ½ mile service area Transit to supermarkets
Farmers Markets Density of Fast Food
Fast food chain/not chain Pizza Deli
Neighborhood Environment
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CX3 :Use of On-line GIS Map Viewer
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#2: Field Surveys Grocery stores and small markets
Availability and quality of fruits and vegetables, other healthy foods
Fruit and vegetable prices Marketing of healthy/unhealthy foods
CX3 Data: 3-6 low-income neighborhoods
Neighborhood Environment
Fast food around schools Availability of healthy options Menu labeling Marketing
Outdoor marketing around schools
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CX3: F/V Availability
by Store Size
0% 0%
16%21%
0% 0%
55%51%
8%4% 6% 6%
92%96%
23% 22%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Large StoresFruit
(≥ 4 Registers)
Large StoresVegetables
(≥ 4 Registers)
Small StoresFruit
(< 4 Registers)
Small StoresVegetables
(< 4 Registers)
None Limited (1-3 types)Moderate Variety (4-6 types) Wide Variety (≥ 7 types)
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0% 0%
9%6%
8% 8%
29%
36%32% 32%
46%
39%
60% 60%
17% 18%
0%
10%
20%
30%
40%
50%
60%
70%
Large StoresFruit
(≥ 4 Registers)
Large StoresVegetables
(≥ 4 Registers)
Small StoresFruit
(< 4 Registers)
Small StoresVegetables
(< 4 Registers)
All or most poor quality Mixed quality; more poor than good
Mixed quality; more good than poor All or most of good quality
CX3: F/V Quality by Store Size
38-42% small stores all or most f/v poor quality
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63
92
0102030405060708090
100
Large Stores (≥4 Registers)
Small Stores (4Registers)
% o
f Sto
res
Large Stores: n = 27
Small Stores: n = 134
CX3: Unhealthy Marketing at Checkout
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45% of stores
surveyed have
bars on windows
Range: 20% in Santa Clara Co. neighborhood; over 80% in W. Oakland
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Only 24%
of large stores (≥ 4 registers)
have health promotions
around fruit and vegetable displays
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Ads on roof/walls…
77% of fast food chains
(n=44)
54% of other fast
food outlets (n = 41)
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CX3 : Localized Data Methods Each health department receives local data
analyzed into neighborhood profile (2007) Added features: new WIC package; nutrition
information in FF restaurants Use of scoring system
Store scores (Up to 100 pts for each store) Fast Food Outlet Scores (Up to 50 pts for each
outlet) Quality standards created
Locals can use visual (maps and photos) and numeric information to represent neighborhood conditions
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Intervention guidance relevant to funding stream Community empowerment and priority
setting process outlined and encouraged All data variables– local policy implications
From land use to signage ordinances to menu labeling
Consultation from Public Health Law and Policy at Public Health Institute
Consultation from communications firm to assist with media and data sharing for local community action
CX3 Action Guidance:
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Education and/or Voluntary Action Policy
Land use (general plan, zoning, design guidelines)
Economic development Enforcement of existing policy Targeting designated
redevelopment zones
CX3 Action Guidance:
Public Health Law & Policy provides technical assistance for empowering communities/consumers
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CX3 Action is growing: Examples Kern
City task force developed, using data; link consumers with information on alternative food sources (food stands)
W. Oakland Youth developed clean up campaign via park to
get access to local store Santa Clara
Neighborhood group (Promotoras) prioritized need for farmers’ market, activating
Berkeley Retail program with local merchant
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Real Freshness!
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Alyssa Ghirardelli, MPH, RD
For more information:
Research Associate, California Department of Public Health, Cancer
Prevention and Nutrition Section