Place and Health

1

Why We Care

The built environment impacts health by impacting:

Access & Exposure

2

Access

3

Exposure

4

Active Living Research

Established in 2001, ALR supports research to identify environmental factors and policies that influence physical activity.

Administered by San Diego State University Research Foundation.

Led by Dr. James Sallis

5

Genes & Environment Initiative

The Genes and Environment Initiative is a five-year, NIH-wide effort to identify the

genetic and environmental basis of asthma, diabetes, cancer, and other

common illnesses

SENSORS

ANALYTICS

SYSTEMS

6

Physical

Activity

Location

Measurement

System 7

Merging & Calculations

Data Processing

Web-based

User Interface

INDIVIDUALS

ENVIRONMENT

SENSINGTECHNOLOGY

LOCATION

BEHAVIOR

TIME

EXPOSURE

Security & Sharing

System Architecture

PALMS SYSTEMANALYSIS

GIS

STATISTICS

VIZUALIZE

Researcher Points of Entry

Study CreationAdd Data Sources Collaborate Re-

analyze

The PALMS Story

8

Sensors for Physical Activity, Location & Exposure

Physical activity– M – Actigraph– M – Actical– HR+M - Actiheart– HR+M – Actitrainer– HR+M+ respiration +

skin temp – Bioharness

Location - GPS– DG-100– BT-335– Qstarz 1000

9

Accelerometers and heart rate monitors tell how active and when…

10

When combined with GPS, we also know

where activity occurs

Heart rateshown inGoogle Earth

resting light moderate vigorous

11

Heart rateshown inESRI ArcGISagainst land use

When combined with GIS, we know the context in which activity occurs

12

PALMS GPS Data Cleaning

Before – Multi-story buildings generate noise

After – Noise removedYellow = walking Orange = pausedGray circles = relative time at location

13

Indoor/Outdoor Detection with location clustering

OutdoorsIndoors / In-vehicle

Locations shown in gray

14

PALMS CVS Outputanalyzed by ArcGIS system

Activity within parks by accelerometer count coded by

intensity

Activity within parks 15

PALMS is being designed for Data Sharing

• “… making data as widely and freely available as possible, while safeguarding the privacy of participants, and protecting confidential and proprietary data.” – NIH

1

— Data related to your own specialty — Rare data

— Clinical population data — Pooled data

— Data promoting education — Test/training data

— Calculations & visualizations — Protocols

1http://grants.nih.gov/grants/policy/data_sharing/data_sharing_guidance.htm

16

Our Questions

Large Data Sets

Population vs. Individuals

Time Dependence

Visualizations

Pattern Recognition 17

All photos via Flickr (Slide#/Flickr ID)

1/caveman_92223 2/CarbonNYC 3/mrbling 4/respres 5/soaptrail 6/gringod 17/oberazzi

Ernesto Ramirezerramirez@ucsd.edu

Fredric Raabfraab@ucsd.edu

cwphs.ucsd.edu