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Centre for Global NCDs Seminar Series
November 14 2016
Urban Environment and
Cardiovascular Health: ERC Project
Heart Healthy Hoods
Manuel Franco MD, PhD
Associate Professor
School of Medicine, University of Alcala, Spain
Adjunct Associate Professor
Department of Epidemiology
Johns Hopkins Bloomberg School of Public Health
http://hhhproject.eu
First, some questions
• Let´s think first about the place where you live/work
• Let´s think now about the opportunities for being
physically active and mantain a healthy diet
where you live
• Let´s think now about the social norms regarding
physical activity and diet where you live
http://hhhproject.eu
Second, some reflections
about Madrid
• Opportunities / resources for being
physically active and mantain a healthy diet
in Madrid
• Social norms regarding physical activity
and diet in Madrid
http://hhhproject.eu
http://hhhproject.eu
Physical activity environment in
Madrid, HHH study
International Journal of Epidemiology 2015, Franco M
Miguel, 45 years old, lives
in Villaverde, Madrid. Low-
income area.
Miguel goes out for a walk
every afternoon to the
park. “I used to run all the
distance of the bike lane
but I started having knee
problems and now I prefer
walking. When I am in a
good mood I can walk all
the way to the next large
neighbourhood.”
http://hhhproject.eu
Food environment in Madrid,
HHH study
International Journal of Epidemiology 2015, Franco M In press
María, 45 ys, resident of
Villaverde. Low-income
area.
María and her friends
meet twice per week to
have a dinner snack at
the Dehesa Boyal park, a
pinewood and main park
in San Cristobal. María
lives in Spain for the last
4 years, unemployed for
the last 8 months, and
she often thinks about
coming back to the
Dominican Republic
where her family lives.
http://hhhproject.eu
Opportunities for NCDs prevention within
Urban Health Research
1. By 2050: 66% of the world population will live in cities
2. Challenge of aging and chronic diseases already in our cities
3. Social determinants as working conditions, unemployment
and poverty are clearly patent in our cities
4. Segregation patterns and health inequalities are social
phenomena measurable in our cities
5. Cities, municipalities, districts, offer great (structural)1
opportunities to improve population health
6. New sources and types of health and urban data, allong with
novel methodologies and interdisciplinary teams
7. Urban health research is directly linked to action
(1) Franco, Bilal and Diez-Roux, J Epidemiol Comm Health 2015
Social and Physical Urban
Environment and CV Health:
The Much Needed
Population Approach
Manuel Franco MD, PhD
Starting Grant 2013
Start Date April 1st 2014
ERC Starting Grants
FUNDING 1.5 million € for 5 years
OBJECTIVE To encourage independent careers of excellent
investigators providing enough support in the critical
moment (starting to develop their own team).
ELEGIBILITY PI must have a PhD degree in the last 2 to 7 years.
Available to non-EU researchers.
REQUISITES At least one relevant publication without his/her
thesis advisor
At least 50% effort
PROFILE High potential, project with potential social
Impact in Europe.
Presenter’s Name
Date
Physical
Environment
Social
Environment
SOCIAL
EPIDEMIOLOGY
Studies social determinants of disease
Methodologies from Social Sciences and Public Health
Focus on population preventive approach
Addresses growing social inequalities in health
First cause of death in Europe (47% of all deaths in 2010)
Increasing prevalence (50 mill. patients in 2009 in Europe)
Rising social and economic costs (196 billion € in 2009)
Traditional medical preventive approaches are individual
Cardiovascular
Health
Presenter’s Name
Date
Physical
Environment
Social
Environment
Cardiovascular
Health
HEART
HEALTHY
HOODS
Obesity
Physical
Activity
Diet
Alcohol
Physical Activity
Environment
Food
Environment
CVD
Smoking
Tobacco
Environment
Social and Physical
Environment
Individual
Cardiovascular Health
Alcohol
Environment
NeighborhoodSocioeconomicStatus
Unemployment–Education–Poverty
ImmigrationComposition
IndividualSocioeconomicStatus
Occupation–Income–Education
Gender–Immigration
Heart Healthy Hoods Study
Main Goal
http://hhhproject.eu
To study the impact of the
social and physical environment in terms of
tobacco, alcohol, food and physical activity
on residents cardiovascular health
Heart Healthy Hoods
Overall Objectives
http://hhhproject.eu
1. To include a qualitative approach to understand the
context and meanings of the urban environment in
relation to cardiovascular health
2. To develop measurements to characterize the
social and physical urban environments in a
systematic and accurate fashion
3. To understand the already known relation between
the urban environment and cardiovascular health in
the United States with this relation in Europe
Heart Healthy Hoods
Secondary Objectives
http://hhhproject.eu
To provide scientific evidence to researchers, the
general population and policy makers to intervene at
the population level to prevent the first cause of
death in Europe.
HHH overarching objective
Policy and research implications
http://hhhproject.eu
Photography
Knowledge
Dissemination
Citizen Science
Epidemiology
Health Sociology
University of Salamanca
Johns Hopkins School of Public Health
Geography
University of Alcalá
CRESH Edinburgh
LSHTM
Interdisciplinary team
PI: Social Epidemiology
University of Alcalá
Johns Hopkins School of Public Health
http://hhhproject.eu
INTERDISCIPLINARY TEAM
https://hhhproject.eu/people/madrid-team/
Madrid Team
International Collaborations
http://hhhproject.eu
HHH Team Kickoff
September 2014
http://hhhproject.eu
Madrid City
21 Districts
128 Neighborhoods
2.412 Census Sections (≅1.500 ps)
3,2 Mill. Residents
HHH will analyze the Integrated
Primary Care Health System
Electronic Health Records
Database of 1,4 million residents
40-75 ys. old
http://hhhproject.eu
HHH Study Design
Baseline Visit
Cohort
Study
1st Database
Mining
Population-
based EHR
study
4 yr follow up
2,576 participants Final Visit
Final Database
Mining
1,4 million people
Environment
Tobacco
Alcohol
Food
Physical Activity
1st Assessment 2nd AssessmentNeighborhoods
Multilevel Association
Analysis
http://hhhproject.eu
21 distritos
32 Centros de Salud
Participantes de la cohorte
N=2576
Profesionales
Métodos CoHHHorte
http://hhhproject.eu
C.S. ADELFAS
C.S. ALPES
C.S. ANGELA URIARTE
C.S. ARTILLEROS
C.S. BARAJAS
C.S. CANAL de PANAMA
C.S. CARAMUEL
C.S. CERRO ALMODOVAR
C.S. CIUDAD JARDIN
C.S. DAROCA
C.S. DR. CASTROVIEJO
C.S. ENTREVIAS
C.S. ESPRONCEDA
C.S. FEDERICA MONTSENY
C.S. GARCIA NOBLEJAS
C.S. GENERAL RICARDOS
C.S. GUAYABA
C.S. JAZMIN
C.S. LAGASCA
C.S. LAS CORTES
C.S. LAVAPIES
C.S. LOS YEBENES
C.S. MAR BALTICO
C.S. MONOVAR
C.S. PAVONES
C.S. SAN ANDRES
C.S. SAN FERMIN
C.S. SILVANO
C.S. TORITO
C.S. VALDEBERNARDO
C.S. FUENCARRAL
C.S. VILLAAMIL
CS HHH
http://hhhproject.eu
Criterios de selección
http://hhhproject.eu
Resumen calendario global del estudio
Corte 2016
Seguimiento
2017
Corte 2018
Seguimiento
2019
Visita clínica +
Encuesta
telefónica
Recoger algunos
datos de Historia
clínica
Visita clínica +
Encuesta
telefónica
Recoger algunos
datos de
Historia clínica
http://hhhproject.eu
Visita 1
Visita Telefónica
• Dieta
• Tabaco
• Alcohol
• Actividad Física
¿Precisa
Analítica?
NO
SI
Analítica +
Visita 2 (Entrega
de resultados)
Flujo de visitas
Abrir en HCE episodio
A97
http://hhhproject.eu
http://hhhproject.eu
a) Mixed Methods Exploratory Study in a Median
Area of Madrid (Usama Billal)
b) Results by domains
a) Food
b) Physical Activity
c) Tobacco
d) Alcohol
c) Results by working groups
a) Urban Geography
b) Participatory Action Research PHOTOVOICE
HHH Analyses and Results
http://hhhproject.eu
Selecting average neighborhoods for cross-
city comparisons in Urban Health studies:
the Median Neighborhood Index
Bilal U, Diez J, Cebrecos A, Franco M (Submitted)
Median Neighborhood Index (MNI)
Average rank distance to the median neighborhood in each
city in four sociodemographic and urban form variables:
aging (% > 65 years old), education (% with college
education), segregation (% foreign-born for Spain, or %
non-White for the US), and urban form (population density)
http://hhhproject.eu
Mixed Methods Approach
http://hhhproject.eu
Objectives
1. To describe the cardiovascular health profile of
a population over 15,000 residents living in an area,
analyzing the Madrid Primary Health Care System
electronic health records.
2. To explore different quantitative and qualitative
measurements characterizing the social and
physical urban environment in relation to food,
alcohol, tobacco and physical activity.
http://hhhproject.eu
http://hhhproject.eu
Methods (quantitative)
• Cardiovascular Disease:
– Whole population (>99%) EHR through universal health system.
– Validated (1) data on physician-diagnosed: diabetes, hypertension,
dyslipidemia, smoking and obesity.
• Urban environment
– Food: location and type of food stores and food services, directly
measured healthy food availability (brief NEMS-S)
– Physical activity: SPACES audit tool for walkability and bikeability,
SOPARC audit tool for open spaces.
– Alcohol and tobacco: location and type of retailers
References: (1) de Burgos Lunar et al, BMC Med Res Methodol, 2013.
http://hhhproject.eu
Methods (qualitative)
• 11 semi-structured interviews with key informants:
4 long-term residents, 2 recent immigrants, 1 teacher,
1 community activist, 1 health care provider, 1 public
health officer, 1 local food store owner
• Questions on health and the environment, focusing
on sociodemographics, food, alcohol, tobacco and
physical activity.
• Analysis by triangulation incorporating an
interpretative phenomenological analysis.
http://hhhproject.eu
Methods (integration)
• Geographic Information Systems
– Directly collected data + Secondary administrative data
– Joined to street sections by relational union or overlaid as
administrative boundaries/blocks.
• Mixed Methods Approach: merging approach
– Provides insights on quantitative findings
• Quantitative -> qualitative
– Guides future quantitative data collection (formative)
• Qualitative -> quantitative.
http://hhhproject.eu
http://hhhproject.eu
Exploratory Study Sociodemographic Profile
Primary Health Care Records
• Total Pilot Area Population: 15,751
• Population in the Primary Care Health System Geocoded to
census section level: 14,857 (95%)
– Possibility of analyzing data for 1.4 million people
http://hhhproject.eu
• Population 45-106 ys. old: 7,252
• Sex: 59% Women
• Diabetes Prevalence: 12%
• Diabetes Control (HbA1c<7): 63%
• Hypertension Prevalence: 34%
• Obesity (BMI >30): 20%
• Dyslipidemia, all types: 32%
Exploratory Study Cardiovascular Profile
Primary Health Care Records
http://hhhproject.eu
a) Mixed Methods Exploratory Study in a Madrid Median Area
b) Results by domains
a) Food (Julia Diez)
b) Physical Activity
c) Tobacco
d) Alcohol
c) Results by working groups
a) Urban Geography
b) Participatory Action Research PHOTOVOICE
HHH Analyses and Results
http://hhhproject.eu
http://hhhproject.eu
Conceptual framework
Urban Food Environment
• Diet is a cardiovascular risk
factor influenced by the local
food environment
• Local food environments are a
critical influence, that may
restrict or increase people’s
abilities to make healthy
eating decisions.
• Conceptual framework from:
Franco M., Bilal U., Díez J.
(2016). Food Environment. In
The Encyclopedia of Food and
Health. B. Caballero, Finglas, P.,
and Toldrá, F. (Eds) Academic
Press, Oxford: 3: 22-26
http://hhhproject.eu
Exploratory study
Type of food stores Healthy Food Availability Index
http://hhhproject.eu
Food environment measures
• Objective. To develop a system to characterize, and track changes of the
local food environment, using in-store audits and secondary databases
• Methods.
1) Ground-truthing (in-store audits)
• Observers assessed all food stores present in all 42 census sections
June-July 2016, using an adapted version of the NEMS-S tool to
better reflect a Mediterranean food environment
• We integrated the NEMS-S tool in a web-based app
http://hhhproject.eu
2) Secondary database
• Public database “Censo de Locales”, updated monthly and freely
accessible from the city council.
• We selected all food stores located within the 42 census sections,
derived through their code provided in the database.
• We matched the food stores assessed on field and those listed in the
database based on GPS coordinates and business name and address.
• We assessed the level of agreement between the secondary database
and on field observations (sensitivity analysis, and PPV analysis) by
store type and by census section-SES
Food environment measures
http://hhhproject.eu
Cross-city differences
http://hhhproject.eu
Walking access to healthy food
Madrid (left) and Baltimore (right)
http://hhhproject.eu
a) Mixed Methods Exploratory Study in a Madrid Median Area
b) Results by domains
a) Food
b) Physical Activity (Pedro Gullón)
c) Tobacco
d) Alcohol
c) Results by working groups
a) Urban Geography
b) Participatory Action Research PHOTOVOICE
HHH Analyses and Results
http://hhhproject.eu
Urban Environment and active
transportation in Madrid
http://hhhproject.eu
Madrid Systematic Pedestrian and
Cycling Environment Scan (M-SPACES)
- Function
- Safety
- Aesthetics
- Destinations
M-SPACES AUDIT TOOL
Pedro Gullón et al. September 2015 Journal of Urban Health,
http://hhhproject.eu
M-SPACES AUDIT TOOL
Pedro Gullón et al. 2015 Journal of Urban Health,
http://hhhproject.eu
M-SPACES AUDIT TOOL
Pedro Gullón et al. September 2015 Journal of Urban Health,
http://hhhproject.eu
Physical Activity Results
Pedro Gullón et al. September 2015 Journal of Urban Health,
Pedro Gullón, Usama Bilal, Alba Cebrecos, Hannah M. Badland,
Francisco Escobar, Iñaki Galán, Manuel Franco
Socioeconomic Determinants of Small-
Area Walkability in a European city like
Madrid: The Heart Healthy Hoods
Project
http://hhhproject.eu
Figure 1. Spatial distribution of Walkability Index (a)
and Socio-Economic Status Index (b) by deciles in
the census section (N=2415) of the city of Madrid
http://hhhproject.eu
0
5
10
Percent
-7.5
-5
-2.5
0
2.5
5
7.5
-2.35 -1.16 -0.85-0.61-0.39-0.14 0.24 0.67 0.95 1.26 2.00
Socioeconomic Status Index
95% CI
Figure 2. Restricted cubic splines with 5 knots
representing the relationship between SES and
walkability in the census sections of Madrid (N=2415)
http://hhhproject.eu
a) Mixed Methods Exploratory Study in a Madrid Median Area
b) Results by domains
a) Food
b) Physical Activity
c) Tobacco (Xisca Sureda)
d) Alcohol
c) Results by working groups
a) Urban Geography
b) Participatory Action Research PHOTOVOICE
HHH Analyses and Results
Tobacco retail environment,
outdoor smoke-free policies
and smoking
HHH Ancillary Study
PI: Xisca Sureda
Co-investigators: M. Franco, U. Bilal, FJ Escobar, A Navas, E. Fernández
Alcalá University, ICO Barcelona, Johns Hopkins Bloomberg School of Public
Health, Columbia University
Funding: European Research Council Starting Grant 2013 HeartHealthyHoods
Agreement n. 336893 and Instituto de Salud Carlos III (PI15/02146)
Tobacco in HHH
Urban determinants of smoking behaviour
http://hhhproject.eu
Availability &
Accessibility
Second-hand smoke
exposure in terraces
of hospitality venues
Smoking behaviour
Self-reported
second-hand smoke
exposure
Urban environments Individual behaviours
Signs of tobacco
consumption in
outdoor places
Neighborhoodsocioeconomic
characteristics
Individualsocioeconomic
characteristics
Tobacco availability
http://hhhproject.eu
Density of tobacco point of sales Educational level in Madrid
http://hhhproject.eu
Measurements and variables: Systematic Social Observation in 42
neighborhoods in Madrid
lugar fecha hora
área
(m2)
altura
(m)
ventilación señales
olor a
tabaco
cenicero cenizas
personal
fumando
usuarios
fumando
observaciones
Indicators of the presence of tobacco smoking: number of smokers, presence of
ashtrays, presence of cigarette butts and tobacco smell, presence of tobacco vending
machines, hours of sales in places where you can get tobacco.
Information for every
measurement
sampling: location, area,
outdoor or quasi-outdoor
space, smoke-free zone
signage
Tobacco consumption signs outdoors
SHS exposure outdoor hospitality
venues
http://hhhproject.eu
PM 2.5 measurements
Measurements and variables: Tobacco Airborne Markers
Airborne nicotine
We measured a total of 79 outdoor
terraces in 42 neighborhoods
People smoking in a covered terraces
http://hhhproject.eu
a) Mixed Methods Exploratory Study in a Madrid Median Area
b) Results by domains
a) Food
b) Physical Activity
c) Tobacco
• Alcohol (Madrid, Barcelona, Edinburgh, Baltimore)
a) Results by working groups
a) Urban Geography
b) Participatory Action Research PHOTOVOICE
HHH Analyses and Results
Alcohol in HHH
Urban determinants of alcohol behaviour
Sureda X, Villalbí JR, Espelt A, Franco M. Living under the influence: Normalization of alcohol consumption in our cities. Gac Sanit (in press)
OHCITIES instrument
http://hhhproject.eu
OHCITIES Validation Results
http://hhhproject.eu
92 on-premise alcohol outlets
(50% bars and 20% restaurants)
53,7% with promotion
associated to the outlet
We measured 180 items in 92 On-Premise and 24 off-premise
alcohol outlets in 7 census sections in Madrid
24 off-premise alcohol outlets
(54% grocery stores)
88,2% with promotion
associated to the outlet
http://hhhproject.eu
 7 alcohol promotion in public
spaces (57% sponsorship)
 58 signs of alcohol consumption
Time to complete one census section: between 225 and 87 minutes depending on
the total number of alcohol-related elements in the urban environment.
Time to complete each item: on and off-premises aprox. 5-10 min; promotion and
signs of alcohol consumption in public spaces aprox. 3 min
OHCITIES Validation Results
http://hhhproject.eu
a) Mixed Methods Exploratory Study in a Madrid Median Area
b) Results by domains
a) Food
b) Physical Activity
c) Tobacco
d) Alcohol (Xisca Sureda)
c) Results by working groups
a) Urban Geography (Alba Cebrecos)
b) Participatory Action Research PHOTOVOICE
HHH Analyses and Results
http://hhhproject.eu
The aim was to design and implement a multicomponent
method based on Geographic Information Systems to
characterize and evaluate environmental correlates of obesity:
the food and the physical activity urban environments.
http://hhhproject.eu
METHODOLOGY
http://hhhproject.eu
f x =
1
𝑛ℎ
i=1
n
K
x − Xi
h
Kernel Density Estimation
(KDE)
WALKABILITY
HFAI
HFAI & WALKABILITY
STUDY AREA
METHODOLOGY
http://hhhproject.eu
RESULTS
Manuel Franco, Principal Investigator
Understanding community food
environment through Photovoice:
a participatory action research project
in Villaverde, Madrid
Co-funded by
http://hhhproject.eu
WORLDVIEWVaccination
programmeurgently needed
to tackletyphoid in Nepal p.267
ASTRONOMYGasgiant is
lowest- massexoplanet
imaged directly p.268
NEUROSCIENCEDreams
spark visual activity
in thebrain p.269
Riseof thecitizen scientist
From theoceanstothesoil, technology ischanging thepart that amateurscan play in research.
But thisgreater involvement raisesconcernsthat must beaddressed.
S
cienceisnotjustforscientiststhesedays.Goingonascuba-diving
holidaythissummer?Sharethetemperaturedatafromyourdive
computerwithresearcherseagertoplugholesinsparserecordsfor
inshoreareas.Nervousaboutpossiblepollutionfromanearbyfracking
project?Easeyourconcernsbyhelpingtocollectandanalyseairsamples
aspart of amonitoringproject.Stuck at homeastherain poursdown?
LogontotheInternetandspendacoupleofhoursfoldingproteinsand
RNA tohelpuniversityscientistsworkout howbiologydoesit.
Citizensciencehascomealongwayfromthefirst distributed-
computingprojectsthathooveredupspareprocessingpoweronhome
Technologycanmakescientistsofusall.Datachurnedout bythe
rapidspreadofconsumergadgetsequippedwithsatellitenavigation,
camerasandasuiteofothersensors,andtheeaseofsharingtheresults
digitally,aredrivingtheboomincitizenscience.Volunteerscanalready
identifywhalesongsfromrecordings,reportlitterandinvasivespecies,
andsendintheskeletonsoffishtheyhavecaughtandconsumed.But
thereismoretobeingascientist,ofcourse,thancollectingandsharing
data—especiallyif theresultsaretobeusedtohelpdeterminepolicy.
Criticshaveraisedconcernsabout dataquality,andsomestudies
dofindthat volunteersarelessabletoidentifyplant speciesthanare
EDITORIALS
THISWEEK
Citizen Science
http://hhhproject.eu
Citizen
Science
http://hhhproject.eu
http://hhhproject.eu
http://hhhproject.eu
CENTROCENTRO Cibeles
Madrid, April 13th – October 30th 2016
https://hhhproject.eu/photovoice/photovoice-publications/
http://hhhproject.eu
https://www.youtube.com/v/VIiFggKzVas&yt:cc=on&hd=1
Photovoice whole project video
http://hhhproject.eu
Photovoice Publications
1. “Understanding the local food environment: a participatory Photovoice
project in a low-income area in Madrid, Spain” Under review
2. “Barriers and facilitators for accessing healthy foods: a mixed methods
study using GIS, on field measures and photovoice” In progress
3. “Translating participatory research into food policy recommendations:
The Photovoice Villaverde Food Project in Madrid.” In progress
4. “Photovoice as a tool to gain empowerment? : Evaluating the
transformative potential of a Participatory Action Research project in
Villaverde (Madrid) for their female participants.” In progress
5. “Improving the retail food environment in cities. A stakeholder public
discussion in Madrid: The Heart Healthy Hoods Project.” In progress
http://hhhproject.eu
HHH Current
Scientific Achievements
• 7 international papers and 3 book chapters
• Bilingual photobook and public exhibition
• 4 funded ancillary studies
• 3 Predoctoral and one Erasmus master fellowships
• Intramural: 2 communications awards
• 4 travel grants for US (Joel Gittelsohn and Luisa
Borrell) and UK researchers (Daniel Lewis and
Jamie Pearce)
http://hhhproject.eu
HHH future scientific steps
Waiting on grants:
• Photovoice on urban environment and physical activity
• Alcohol Urban Environment in Madrid and Barcelona
(Collaboration: Madrid, Barcelona, Edinburgh, Baltimore)
Working on training grant:
• Cardiovascular Prevention and Policy Research Initiative for
Europe and Latin America (CAPRIELA)
• Liverpool, Utrecht, Lima and Buenos Aires
Open for collaborations with LSHTM researchers
http://hhhproject.eu
• Participants
• Whole HHH Madrid team and collaborations
• Different funding agencies:
• European Research Council
• Fundación Mapfre
• Ayuntamiento de Madrid
• Fondo de Investigación Sanitaria
• Plan Nacional de Investigación
• Center for a Livable Future, Johns Hopkins
• LSHTM Centre for Global NCDs
Acknowledgements
http://hhhproject.eu
HHH Team
Thank you very much !
Centre for Global NCDs Seminar Series
November 14 2016
¡ Gracias !
Manuel Franco MD, PhD
for the HHH investigators

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Urban Environment and Cardiovascular Health: ERC Project Heart Healthy Hoods

  • 1. Centre for Global NCDs Seminar Series November 14 2016 Urban Environment and Cardiovascular Health: ERC Project Heart Healthy Hoods Manuel Franco MD, PhD Associate Professor School of Medicine, University of Alcala, Spain Adjunct Associate Professor Department of Epidemiology Johns Hopkins Bloomberg School of Public Health
  • 2. http://hhhproject.eu First, some questions • Let´s think first about the place where you live/work • Let´s think now about the opportunities for being physically active and mantain a healthy diet where you live • Let´s think now about the social norms regarding physical activity and diet where you live
  • 3. http://hhhproject.eu Second, some reflections about Madrid • Opportunities / resources for being physically active and mantain a healthy diet in Madrid • Social norms regarding physical activity and diet in Madrid
  • 5. http://hhhproject.eu Physical activity environment in Madrid, HHH study International Journal of Epidemiology 2015, Franco M Miguel, 45 years old, lives in Villaverde, Madrid. Low- income area. Miguel goes out for a walk every afternoon to the park. “I used to run all the distance of the bike lane but I started having knee problems and now I prefer walking. When I am in a good mood I can walk all the way to the next large neighbourhood.”
  • 6. http://hhhproject.eu Food environment in Madrid, HHH study International Journal of Epidemiology 2015, Franco M In press María, 45 ys, resident of Villaverde. Low-income area. María and her friends meet twice per week to have a dinner snack at the Dehesa Boyal park, a pinewood and main park in San Cristobal. María lives in Spain for the last 4 years, unemployed for the last 8 months, and she often thinks about coming back to the Dominican Republic where her family lives.
  • 7. http://hhhproject.eu Opportunities for NCDs prevention within Urban Health Research 1. By 2050: 66% of the world population will live in cities 2. Challenge of aging and chronic diseases already in our cities 3. Social determinants as working conditions, unemployment and poverty are clearly patent in our cities 4. Segregation patterns and health inequalities are social phenomena measurable in our cities 5. Cities, municipalities, districts, offer great (structural)1 opportunities to improve population health 6. New sources and types of health and urban data, allong with novel methodologies and interdisciplinary teams 7. Urban health research is directly linked to action (1) Franco, Bilal and Diez-Roux, J Epidemiol Comm Health 2015
  • 8. Social and Physical Urban Environment and CV Health: The Much Needed Population Approach Manuel Franco MD, PhD Starting Grant 2013 Start Date April 1st 2014
  • 9. ERC Starting Grants FUNDING 1.5 million € for 5 years OBJECTIVE To encourage independent careers of excellent investigators providing enough support in the critical moment (starting to develop their own team). ELEGIBILITY PI must have a PhD degree in the last 2 to 7 years. Available to non-EU researchers. REQUISITES At least one relevant publication without his/her thesis advisor At least 50% effort PROFILE High potential, project with potential social Impact in Europe.
  • 10. Presenter’s Name Date Physical Environment Social Environment SOCIAL EPIDEMIOLOGY Studies social determinants of disease Methodologies from Social Sciences and Public Health Focus on population preventive approach Addresses growing social inequalities in health First cause of death in Europe (47% of all deaths in 2010) Increasing prevalence (50 mill. patients in 2009 in Europe) Rising social and economic costs (196 billion € in 2009) Traditional medical preventive approaches are individual Cardiovascular Health
  • 11. Presenter’s Name Date Physical Environment Social Environment Cardiovascular Health HEART HEALTHY HOODS Obesity Physical Activity Diet Alcohol Physical Activity Environment Food Environment CVD Smoking Tobacco Environment Social and Physical Environment Individual Cardiovascular Health Alcohol Environment NeighborhoodSocioeconomicStatus Unemployment–Education–Poverty ImmigrationComposition IndividualSocioeconomicStatus Occupation–Income–Education Gender–Immigration Heart Healthy Hoods Study Main Goal
  • 12. http://hhhproject.eu To study the impact of the social and physical environment in terms of tobacco, alcohol, food and physical activity on residents cardiovascular health Heart Healthy Hoods Overall Objectives
  • 13. http://hhhproject.eu 1. To include a qualitative approach to understand the context and meanings of the urban environment in relation to cardiovascular health 2. To develop measurements to characterize the social and physical urban environments in a systematic and accurate fashion 3. To understand the already known relation between the urban environment and cardiovascular health in the United States with this relation in Europe Heart Healthy Hoods Secondary Objectives
  • 14. http://hhhproject.eu To provide scientific evidence to researchers, the general population and policy makers to intervene at the population level to prevent the first cause of death in Europe. HHH overarching objective Policy and research implications
  • 15. http://hhhproject.eu Photography Knowledge Dissemination Citizen Science Epidemiology Health Sociology University of Salamanca Johns Hopkins School of Public Health Geography University of Alcalá CRESH Edinburgh LSHTM Interdisciplinary team PI: Social Epidemiology University of Alcalá Johns Hopkins School of Public Health
  • 18. http://hhhproject.eu Madrid City 21 Districts 128 Neighborhoods 2.412 Census Sections (≅1.500 ps) 3,2 Mill. Residents HHH will analyze the Integrated Primary Care Health System Electronic Health Records Database of 1,4 million residents 40-75 ys. old
  • 19. http://hhhproject.eu HHH Study Design Baseline Visit Cohort Study 1st Database Mining Population- based EHR study 4 yr follow up 2,576 participants Final Visit Final Database Mining 1,4 million people Environment Tobacco Alcohol Food Physical Activity 1st Assessment 2nd AssessmentNeighborhoods Multilevel Association Analysis
  • 20. http://hhhproject.eu 21 distritos 32 Centros de Salud Participantes de la cohorte N=2576 Profesionales Métodos CoHHHorte
  • 21. http://hhhproject.eu C.S. ADELFAS C.S. ALPES C.S. ANGELA URIARTE C.S. ARTILLEROS C.S. BARAJAS C.S. CANAL de PANAMA C.S. CARAMUEL C.S. CERRO ALMODOVAR C.S. CIUDAD JARDIN C.S. DAROCA C.S. DR. CASTROVIEJO C.S. ENTREVIAS C.S. ESPRONCEDA C.S. FEDERICA MONTSENY C.S. GARCIA NOBLEJAS C.S. GENERAL RICARDOS C.S. GUAYABA C.S. JAZMIN C.S. LAGASCA C.S. LAS CORTES C.S. LAVAPIES C.S. LOS YEBENES C.S. MAR BALTICO C.S. MONOVAR C.S. PAVONES C.S. SAN ANDRES C.S. SAN FERMIN C.S. SILVANO C.S. TORITO C.S. VALDEBERNARDO C.S. FUENCARRAL C.S. VILLAAMIL CS HHH
  • 23. http://hhhproject.eu Resumen calendario global del estudio Corte 2016 Seguimiento 2017 Corte 2018 Seguimiento 2019 Visita clínica + Encuesta telefónica Recoger algunos datos de Historia clínica Visita clínica + Encuesta telefónica Recoger algunos datos de Historia clínica
  • 24. http://hhhproject.eu Visita 1 Visita Telefónica • Dieta • Tabaco • Alcohol • Actividad Física ¿Precisa Analítica? NO SI Analítica + Visita 2 (Entrega de resultados) Flujo de visitas Abrir en HCE episodio A97
  • 26. http://hhhproject.eu a) Mixed Methods Exploratory Study in a Median Area of Madrid (Usama Billal) b) Results by domains a) Food b) Physical Activity c) Tobacco d) Alcohol c) Results by working groups a) Urban Geography b) Participatory Action Research PHOTOVOICE HHH Analyses and Results
  • 27. http://hhhproject.eu Selecting average neighborhoods for cross- city comparisons in Urban Health studies: the Median Neighborhood Index Bilal U, Diez J, Cebrecos A, Franco M (Submitted) Median Neighborhood Index (MNI) Average rank distance to the median neighborhood in each city in four sociodemographic and urban form variables: aging (% > 65 years old), education (% with college education), segregation (% foreign-born for Spain, or % non-White for the US), and urban form (population density)
  • 29. http://hhhproject.eu Objectives 1. To describe the cardiovascular health profile of a population over 15,000 residents living in an area, analyzing the Madrid Primary Health Care System electronic health records. 2. To explore different quantitative and qualitative measurements characterizing the social and physical urban environment in relation to food, alcohol, tobacco and physical activity.
  • 31. http://hhhproject.eu Methods (quantitative) • Cardiovascular Disease: – Whole population (>99%) EHR through universal health system. – Validated (1) data on physician-diagnosed: diabetes, hypertension, dyslipidemia, smoking and obesity. • Urban environment – Food: location and type of food stores and food services, directly measured healthy food availability (brief NEMS-S) – Physical activity: SPACES audit tool for walkability and bikeability, SOPARC audit tool for open spaces. – Alcohol and tobacco: location and type of retailers References: (1) de Burgos Lunar et al, BMC Med Res Methodol, 2013.
  • 32. http://hhhproject.eu Methods (qualitative) • 11 semi-structured interviews with key informants: 4 long-term residents, 2 recent immigrants, 1 teacher, 1 community activist, 1 health care provider, 1 public health officer, 1 local food store owner • Questions on health and the environment, focusing on sociodemographics, food, alcohol, tobacco and physical activity. • Analysis by triangulation incorporating an interpretative phenomenological analysis.
  • 33. http://hhhproject.eu Methods (integration) • Geographic Information Systems – Directly collected data + Secondary administrative data – Joined to street sections by relational union or overlaid as administrative boundaries/blocks. • Mixed Methods Approach: merging approach – Provides insights on quantitative findings • Quantitative -> qualitative – Guides future quantitative data collection (formative) • Qualitative -> quantitative.
  • 35. http://hhhproject.eu Exploratory Study Sociodemographic Profile Primary Health Care Records • Total Pilot Area Population: 15,751 • Population in the Primary Care Health System Geocoded to census section level: 14,857 (95%) – Possibility of analyzing data for 1.4 million people
  • 36. http://hhhproject.eu • Population 45-106 ys. old: 7,252 • Sex: 59% Women • Diabetes Prevalence: 12% • Diabetes Control (HbA1c<7): 63% • Hypertension Prevalence: 34% • Obesity (BMI >30): 20% • Dyslipidemia, all types: 32% Exploratory Study Cardiovascular Profile Primary Health Care Records
  • 37. http://hhhproject.eu a) Mixed Methods Exploratory Study in a Madrid Median Area b) Results by domains a) Food (Julia Diez) b) Physical Activity c) Tobacco d) Alcohol c) Results by working groups a) Urban Geography b) Participatory Action Research PHOTOVOICE HHH Analyses and Results
  • 39. http://hhhproject.eu Conceptual framework Urban Food Environment • Diet is a cardiovascular risk factor influenced by the local food environment • Local food environments are a critical influence, that may restrict or increase people’s abilities to make healthy eating decisions. • Conceptual framework from: Franco M., Bilal U., Díez J. (2016). Food Environment. In The Encyclopedia of Food and Health. B. Caballero, Finglas, P., and Toldrá, F. (Eds) Academic Press, Oxford: 3: 22-26
  • 40. http://hhhproject.eu Exploratory study Type of food stores Healthy Food Availability Index
  • 41. http://hhhproject.eu Food environment measures • Objective. To develop a system to characterize, and track changes of the local food environment, using in-store audits and secondary databases • Methods. 1) Ground-truthing (in-store audits) • Observers assessed all food stores present in all 42 census sections June-July 2016, using an adapted version of the NEMS-S tool to better reflect a Mediterranean food environment • We integrated the NEMS-S tool in a web-based app
  • 42. http://hhhproject.eu 2) Secondary database • Public database “Censo de Locales”, updated monthly and freely accessible from the city council. • We selected all food stores located within the 42 census sections, derived through their code provided in the database. • We matched the food stores assessed on field and those listed in the database based on GPS coordinates and business name and address. • We assessed the level of agreement between the secondary database and on field observations (sensitivity analysis, and PPV analysis) by store type and by census section-SES Food environment measures
  • 44. http://hhhproject.eu Walking access to healthy food Madrid (left) and Baltimore (right)
  • 45. http://hhhproject.eu a) Mixed Methods Exploratory Study in a Madrid Median Area b) Results by domains a) Food b) Physical Activity (Pedro Gullón) c) Tobacco d) Alcohol c) Results by working groups a) Urban Geography b) Participatory Action Research PHOTOVOICE HHH Analyses and Results
  • 46. http://hhhproject.eu Urban Environment and active transportation in Madrid
  • 47. http://hhhproject.eu Madrid Systematic Pedestrian and Cycling Environment Scan (M-SPACES) - Function - Safety - Aesthetics - Destinations M-SPACES AUDIT TOOL Pedro Gullón et al. September 2015 Journal of Urban Health,
  • 48. http://hhhproject.eu M-SPACES AUDIT TOOL Pedro Gullón et al. 2015 Journal of Urban Health,
  • 49. http://hhhproject.eu M-SPACES AUDIT TOOL Pedro Gullón et al. September 2015 Journal of Urban Health,
  • 50. http://hhhproject.eu Physical Activity Results Pedro Gullón et al. September 2015 Journal of Urban Health,
  • 51. Pedro Gullón, Usama Bilal, Alba Cebrecos, Hannah M. Badland, Francisco Escobar, Iñaki Galán, Manuel Franco Socioeconomic Determinants of Small- Area Walkability in a European city like Madrid: The Heart Healthy Hoods Project
  • 52. http://hhhproject.eu Figure 1. Spatial distribution of Walkability Index (a) and Socio-Economic Status Index (b) by deciles in the census section (N=2415) of the city of Madrid
  • 53. http://hhhproject.eu 0 5 10 Percent -7.5 -5 -2.5 0 2.5 5 7.5 -2.35 -1.16 -0.85-0.61-0.39-0.14 0.24 0.67 0.95 1.26 2.00 Socioeconomic Status Index 95% CI Figure 2. Restricted cubic splines with 5 knots representing the relationship between SES and walkability in the census sections of Madrid (N=2415)
  • 54. http://hhhproject.eu a) Mixed Methods Exploratory Study in a Madrid Median Area b) Results by domains a) Food b) Physical Activity c) Tobacco (Xisca Sureda) d) Alcohol c) Results by working groups a) Urban Geography b) Participatory Action Research PHOTOVOICE HHH Analyses and Results
  • 55. Tobacco retail environment, outdoor smoke-free policies and smoking HHH Ancillary Study PI: Xisca Sureda Co-investigators: M. Franco, U. Bilal, FJ Escobar, A Navas, E. Fernández Alcalá University, ICO Barcelona, Johns Hopkins Bloomberg School of Public Health, Columbia University Funding: European Research Council Starting Grant 2013 HeartHealthyHoods Agreement n. 336893 and Instituto de Salud Carlos III (PI15/02146)
  • 56. Tobacco in HHH Urban determinants of smoking behaviour http://hhhproject.eu Availability & Accessibility Second-hand smoke exposure in terraces of hospitality venues Smoking behaviour Self-reported second-hand smoke exposure Urban environments Individual behaviours Signs of tobacco consumption in outdoor places Neighborhoodsocioeconomic characteristics Individualsocioeconomic characteristics
  • 57. Tobacco availability http://hhhproject.eu Density of tobacco point of sales Educational level in Madrid
  • 58. http://hhhproject.eu Measurements and variables: Systematic Social Observation in 42 neighborhoods in Madrid lugar fecha hora área (m2) altura (m) ventilación señales olor a tabaco cenicero cenizas personal fumando usuarios fumando observaciones Indicators of the presence of tobacco smoking: number of smokers, presence of ashtrays, presence of cigarette butts and tobacco smell, presence of tobacco vending machines, hours of sales in places where you can get tobacco. Information for every measurement sampling: location, area, outdoor or quasi-outdoor space, smoke-free zone signage Tobacco consumption signs outdoors
  • 59. SHS exposure outdoor hospitality venues http://hhhproject.eu PM 2.5 measurements Measurements and variables: Tobacco Airborne Markers Airborne nicotine We measured a total of 79 outdoor terraces in 42 neighborhoods People smoking in a covered terraces
  • 60. http://hhhproject.eu a) Mixed Methods Exploratory Study in a Madrid Median Area b) Results by domains a) Food b) Physical Activity c) Tobacco • Alcohol (Madrid, Barcelona, Edinburgh, Baltimore) a) Results by working groups a) Urban Geography b) Participatory Action Research PHOTOVOICE HHH Analyses and Results
  • 61. Alcohol in HHH Urban determinants of alcohol behaviour Sureda X, Villalbí JR, Espelt A, Franco M. Living under the influence: Normalization of alcohol consumption in our cities. Gac Sanit (in press)
  • 63. OHCITIES Validation Results http://hhhproject.eu 92 on-premise alcohol outlets (50% bars and 20% restaurants) 53,7% with promotion associated to the outlet We measured 180 items in 92 On-Premise and 24 off-premise alcohol outlets in 7 census sections in Madrid 24 off-premise alcohol outlets (54% grocery stores) 88,2% with promotion associated to the outlet
  • 64. http://hhhproject.eu  7 alcohol promotion in public spaces (57% sponsorship)  58 signs of alcohol consumption Time to complete one census section: between 225 and 87 minutes depending on the total number of alcohol-related elements in the urban environment. Time to complete each item: on and off-premises aprox. 5-10 min; promotion and signs of alcohol consumption in public spaces aprox. 3 min OHCITIES Validation Results
  • 65. http://hhhproject.eu a) Mixed Methods Exploratory Study in a Madrid Median Area b) Results by domains a) Food b) Physical Activity c) Tobacco d) Alcohol (Xisca Sureda) c) Results by working groups a) Urban Geography (Alba Cebrecos) b) Participatory Action Research PHOTOVOICE HHH Analyses and Results
  • 66. http://hhhproject.eu The aim was to design and implement a multicomponent method based on Geographic Information Systems to characterize and evaluate environmental correlates of obesity: the food and the physical activity urban environments.
  • 68. http://hhhproject.eu f x = 1 𝑛ℎ i=1 n K x − Xi h Kernel Density Estimation (KDE) WALKABILITY HFAI HFAI & WALKABILITY STUDY AREA METHODOLOGY
  • 70. Manuel Franco, Principal Investigator Understanding community food environment through Photovoice: a participatory action research project in Villaverde, Madrid Co-funded by
  • 71. http://hhhproject.eu WORLDVIEWVaccination programmeurgently needed to tackletyphoid in Nepal p.267 ASTRONOMYGasgiant is lowest- massexoplanet imaged directly p.268 NEUROSCIENCEDreams spark visual activity in thebrain p.269 Riseof thecitizen scientist From theoceanstothesoil, technology ischanging thepart that amateurscan play in research. But thisgreater involvement raisesconcernsthat must beaddressed. S cienceisnotjustforscientiststhesedays.Goingonascuba-diving holidaythissummer?Sharethetemperaturedatafromyourdive computerwithresearcherseagertoplugholesinsparserecordsfor inshoreareas.Nervousaboutpossiblepollutionfromanearbyfracking project?Easeyourconcernsbyhelpingtocollectandanalyseairsamples aspart of amonitoringproject.Stuck at homeastherain poursdown? LogontotheInternetandspendacoupleofhoursfoldingproteinsand RNA tohelpuniversityscientistsworkout howbiologydoesit. Citizensciencehascomealongwayfromthefirst distributed- computingprojectsthathooveredupspareprocessingpoweronhome Technologycanmakescientistsofusall.Datachurnedout bythe rapidspreadofconsumergadgetsequippedwithsatellitenavigation, camerasandasuiteofothersensors,andtheeaseofsharingtheresults digitally,aredrivingtheboomincitizenscience.Volunteerscanalready identifywhalesongsfromrecordings,reportlitterandinvasivespecies, andsendintheskeletonsoffishtheyhavecaughtandconsumed.But thereismoretobeingascientist,ofcourse,thancollectingandsharing data—especiallyif theresultsaretobeusedtohelpdeterminepolicy. Criticshaveraisedconcernsabout dataquality,andsomestudies dofindthat volunteersarelessabletoidentifyplant speciesthanare EDITORIALS THISWEEK Citizen Science
  • 75. http://hhhproject.eu CENTROCENTRO Cibeles Madrid, April 13th – October 30th 2016 https://hhhproject.eu/photovoice/photovoice-publications/
  • 77. http://hhhproject.eu Photovoice Publications 1. “Understanding the local food environment: a participatory Photovoice project in a low-income area in Madrid, Spain” Under review 2. “Barriers and facilitators for accessing healthy foods: a mixed methods study using GIS, on field measures and photovoice” In progress 3. “Translating participatory research into food policy recommendations: The Photovoice Villaverde Food Project in Madrid.” In progress 4. “Photovoice as a tool to gain empowerment? : Evaluating the transformative potential of a Participatory Action Research project in Villaverde (Madrid) for their female participants.” In progress 5. “Improving the retail food environment in cities. A stakeholder public discussion in Madrid: The Heart Healthy Hoods Project.” In progress
  • 78. http://hhhproject.eu HHH Current Scientific Achievements • 7 international papers and 3 book chapters • Bilingual photobook and public exhibition • 4 funded ancillary studies • 3 Predoctoral and one Erasmus master fellowships • Intramural: 2 communications awards • 4 travel grants for US (Joel Gittelsohn and Luisa Borrell) and UK researchers (Daniel Lewis and Jamie Pearce)
  • 79. http://hhhproject.eu HHH future scientific steps Waiting on grants: • Photovoice on urban environment and physical activity • Alcohol Urban Environment in Madrid and Barcelona (Collaboration: Madrid, Barcelona, Edinburgh, Baltimore) Working on training grant: • Cardiovascular Prevention and Policy Research Initiative for Europe and Latin America (CAPRIELA) • Liverpool, Utrecht, Lima and Buenos Aires Open for collaborations with LSHTM researchers
  • 80. http://hhhproject.eu • Participants • Whole HHH Madrid team and collaborations • Different funding agencies: • European Research Council • Fundación Mapfre • Ayuntamiento de Madrid • Fondo de Investigación Sanitaria • Plan Nacional de Investigación • Center for a Livable Future, Johns Hopkins • LSHTM Centre for Global NCDs Acknowledgements
  • 82. Centre for Global NCDs Seminar Series November 14 2016 ¡ Gracias ! Manuel Franco MD, PhD for the HHH investigators

Editor's Notes

  1. el logo arriba y abajo queda repetido. Propongo quitar la chapa y centrar el título
  2. Mapa de 1937 delimitando zonas por nivel de seguridad, que tenían un efecto directo en la compra de casas y las hipotecas que se daban. Empresas seleccionaban exclusivamente residentes blancos para las áreas de nueva construcción. Estas politicas de segregacion activa se mantuvieron desde 1890 hasta 1950
  3. Mapa de 1937 delimitando zonas por nivel de seguridad, que tenían un efecto directo en la compra de casas y las hipotecas que se daban. Empresas seleccionaban exclusivamente residentes blancos para las áreas de nueva construcción. Estas politicas de segregacion activa se mantuvieron desde 1890 hasta 1950
  4. Mapa de 1937 delimitando zonas por nivel de seguridad, que tenían un efecto directo en la compra de casas y las hipotecas que se daban. Empresas seleccionaban exclusivamente residentes blancos para las áreas de nueva construcción. Estas politicas de segregacion activa se mantuvieron desde 1890 hasta 1950
  5. Mapa de 1937 delimitando zonas por nivel de seguridad, que tenían un efecto directo en la compra de casas y las hipotecas que se daban. Empresas seleccionaban exclusivamente residentes blancos para las áreas de nueva construcción. Estas politicas de segregacion activa se mantuvieron desde 1890 hasta 1950
  6. Mapa de 1937 delimitando zonas por nivel de seguridad, que tenían un efecto directo en la compra de casas y las hipotecas que se daban. Empresas seleccionaban exclusivamente residentes blancos para las áreas de nueva construcción. Estas politicas de segregacion activa se mantuvieron desde 1890 hasta 1950
  7. el logo arriba y abajo queda repetido. Propongo quitar la chapa y centrar el título
  8. Te propongo cambiar le orden de las diapos 6 y 7 --> introducir primero CV health y social epidemiology para despues presentar la 7 para ver como se relacionan una con la otra. La 7 sirve para introducir el marco conceptual...la 6 más bien como justificaicón del estudio
  9. Hacer un poco más pequeña la imagen para dejar márgenes Repasar animacion! Porque al final sale el titulo de la diapo...valorar si el tñitulo sale desde el principio
  10. porque el segundo punto en cursiva? uniformizar el fomrato (letra/tamañao de las diapos) --> las diapos de objetivos tienen letra diferente creo que le segundo objetivo más que un objetivo en si podría ponerse com un apartado al final de Public Health // POlicy implication of the study
  11. using a qualitative approach
  12. aqui de pronto aparece nuestra "interdisciplinaridad" -->sugiero comentarlo en metodos y dejar la descripcion del team para el final de la presentación
  13. Incluso en el comité asesor nacional e internacional INTERDISCIPLINARIDAD
  14. Tipo de estudio--> aqui parece que solo se hace cohort y population --> debría presentarse la metodología cualitativa, systemactic observation... A lo mejor podrías añadir una diapo de como se hace el environmental assessment
  15. HHH preguntas?
  16. hay mas apartados....publications, HHH and media...no salen en el seminar outline... quitar Intro European Research Council por un punto que sea HHH introducción --> dentro de introducción ya explicarás la financiación de este proyecto
  17. hay mas apartados....publications, HHH and media...no salen en el seminar outline... quitar Intro European Research Council por un punto que sea HHH introducción --> dentro de introducción ya explicarás la financiación de este proyecto
  18. hay mas apartados....publications, HHH and media...no salen en el seminar outline... quitar Intro European Research Council por un punto que sea HHH introducción --> dentro de introducción ya explicarás la financiación de este proyecto
  19. hay mas apartados....publications, HHH and media...no salen en el seminar outline... quitar Intro European Research Council por un punto que sea HHH introducción --> dentro de introducción ya explicarás la financiación de este proyecto
  20. tnemos que mejorar los apartados de cada parte del piloto que se ha hecho y unificar el formato....comenzar con objetivo, poblacion estudio...
  21. Intro para empezar a hablar del food environment
  22. Diapo: Our conceptual framework to study the influence of the local food environment on population diet quality. In the HHH, we are currently focusing on both the community and the consumer food environment (how many food stores have residents´available in their neighborhood? Of what type? What kind of healthy food products can they within these food stores? At which Price? Do they need a car to Access them? …)
  23. (No sé si quieres hablar del piloto…) Data collection took place between march-june 2013, by one trained observer (a.k.a me) in 12 census sections. We classified and conducted a direct auditing of all food stores present, using the Nutrition Environment Measurement in Stores (NEMS-S)  left panel (number and type of food stores, we identified 44 food stores) We then computed a Healthy Food Availability Index for each store following ascoring system that ranges from 0–28, with a higher score indicating a greater availability of healthy foods  right panel (Supermarkets scored highest in terms of Healthy Food Availability (25.5 out of 28) and convenience stores the lowest (7.5 out of 28)).
  24. On the NEMS-S: is widely recognized as a robust and valid tool for assessing the community and consumer nutrition environment, with high reliability and validity. It measures the availability, quality and cost of healthy foods options (compared to unhealthy food options) within 11 main food categories, based on a mainstream American diet It is considered a “pseudo-gold standard” to assess directly on field the community or consumer food environment.
  25. We aimed to understand cross-national differences in the local food environment between Madrid and Baltimore by comparing an average neighborhood in each city in terms of food store types, healthy food availability, and residents' pedestrian access. 
  26. Method: Throughout a street network analysis (200m, 400m and 800m) of food stores with high healthy food availability, we estimated residents' pedestrian accessibility. Results: In Madrid, 77% of the residents lived within less than 200m from a food store with high healthy food availability. In contrast, 95% of Baltimore's residents lived further than 400m from these stores. 
  27. La herramienta que hemos usado se denomina SPACES (systematic pedestrian and cycling environment scan). Esa herramienta fue desarrollada por investigadores de Australia mediante un método Delphi, y modificada por un grupo de Nueva Zelanda. En nuestro caso, hemos hecho pequeñas modificaciones por comodidad que no afectan a los pesos finales. El SPACES se va rellenando por el investigador a ambos lados de la calle El SPACES divide en 4 factores el entorno urbano de las calles para andar o usar la bicicleta: función, seguridad, estética y destinos. Estos se dividen asimismo en elementos e ítems (lo que medimos directamente con el formulario). Poniendo el ejemplo de entorno para andar: Función se refiere a los aspectos más físicos de la calle, incluyendo los aspectos de la acera (tipo de pavimento, cuesta y continuidad son lo que más cuenta) , la situación, y la infraestructura que ayuda a andar (asientos y árboles). Seguridad abarca aspectos de seguridad personal (visibilidad, farolas, grafitis…), regulación de tráfico (señales, carriles, cruces…). Estética incluye aspectos más “subjetivos” , como el grado de dificultad y el atractivo de la calle; como también incluye vistas y los elementos que hacen más “bonita” la calle. Los destinos son todos aquellos sitios de la calle que puedan motivarte a ir a ello (y que no sean casas), como las paradas de transporte público, tiendas, parques, servicios públicos…
  28. hay mas apartados....publications, HHH and media...no salen en el seminar outline... quitar Intro European Research Council por un punto que sea HHH introducción --> dentro de introducción ya explicarás la financiación de este proyecto
  29. Thank you JR for invite me today to present this Project that we are goin to conduct in Madrid city in the next few month
  30. En los últimos años ha habido especial interés en cómo el entorno social, urbano y cultural contribuye a la conformación de los resultados en salud y factores de riesgo comportamentales.
  31. la accesibilidad al tabaco (en términos de densidad de puntos de venta de tabaco, proximidad a los puntos de venta, tipo de localización dónde adquirir tabaco y horarios de venta al público) ha estado mucho más desregulada. Aunque existe todavía poco literatura del tema se ha vistos que la densidad de puntos de venta de tabaco y la ubicación de éstos también podría influir en las características de consumo de tabaco. Ademas diversos estudios han demostrado también la posible relación entre el gradiente socioeconómico del barrio o lugar de residencia con una distribución desigual de la accesibilidad al tabaco. En el mapa vemos la densidad de estancos por cada 10,000 habitantes para cada uno de los 128 barrios del municipio de Madrid utilizando los datos del comisionado para el mercado de tabacos (2013) y la proporción de población con bajo nivel educativo por barrio (obtenido de los datos del padrón municipal de Madrid (2014). Los resultados mostraron un aumento de la densidad de estancos a mayor población con menos nivel educativo (Ver mapas anexo) .
  32. Se realizarán medidas de 45 minutos en la localización de interés ( y 15 min en la zona control) y las concentraciones de PM2.5 se expresarán en microgramos por metro cúbico (µg/m3).
  33. En los últimos años ha habido especial interés en cómo el entorno social, urbano y cultural contribuye a la conformación de los resultados en salud y factores de riesgo comportamentales.
  34. El objectivo de este estudio fue integrar datos de los entornos de alimentacion y de actividad física mediante el uso de SIG. Convertimos datos puntuales y lineales en una superfície matemàtica continua de todo el àrea de estudio (uno para cada dominio) ¿Cómo lo hicimos?
  35. SPACES es una herramienta de medición diseñada por Pikora para estudiar la disposición de una calle a facilitar la caminabilidad a los transeúntes. En este estudio se utilizó la herramienta adaptada por P.Gullón para la ciudad de Madrid (M_SPACES). Todas las tiendas de alimentación fueron medidas utilizando la herramienta NEMS diseñada por Glanz en su versión abreviada. A partir de estas medidas se calculó un índice de disponibilidad de alimentos saludables que varía de 0 – 27.5 (puntuaciones mas altas, tiendas más saludables) Toda la info obtenida de la observación social se geolocalizó y se integró dentro de un GIS que nos permitió calcular superficies de densidad de Kernel. h: bandwith (determina el grado de suavidad) n: number of cases (sample size) x-Xi= distancia geográfica entre el caso Xi y otro caso K= Kernel function ( en este caso se utiliza la quadratica K(t)=3/4(1-t^2) (conceptualmente) sobre cada punto ajusta una superficie curva suave . El valor de la superficie es más alta en la localización del punto y disminuye al aumentar la distancia desde el punto, llegando a cero en el limite del bandwith desde el punto. El espacio debajo de la superficie es igual al valor HFAI para cada punto. La densidad en cada celda de la imagen de salida se calcula sumando los valores de todas las superficies del Kernel en el que se superponen
  36. Caracterización a nivel de sección censal por ser la unidad administrativa más pequeña en la que se encuentran las estadísticas sociodemográficas. Characterization created by using natural Jenks grouped the census sections into 4 categories about themselves according to the average score: low (17.7 to 21.6), medium-low (21.7 to 30.8), medium-high (30.9 to 35.1) and high (35.2 to 43.8). 4.2% de la población vive en una sección caracterizada como saludable. Un 41% vive en unas sección caracterizada como poco saludable
  37. Incluso en el comité asesor nacional e internacional INTERDISCIPLINARIDAD
  38. el logo arriba y abajo queda repetido. Propongo quitar la chapa y centrar el título