This document discusses the relationship between the built environment and public health. It provides statistics showing that driving is associated with negative health outcomes, while walking and biking are beneficial. Rates of obesity, diabetes, and other chronic diseases have increased as communities have been designed primarily for automobiles. Redesigning cities and neighborhoods to encourage physical activity, such as by building light rail systems and removing freeways, can significantly improve health. The built environment is now recognized as a major determinant of public health.
7. For every age group
from 3 through 34—car
crashes were the No. 1
cause of death
8. In 2009 in the US
2,953,501million vehicle miles traveled
33,808 people died
in motor vehicle traffic crashes.
One in a million chance of death per
every 87 miles driven
• http://www.fhwa.dot.gov/policyinformation/statistics/2009/vm1.cfm
• http://www-nrd.nhtsa.dot.gov/Pubs/811363.PDF
9. Automobile fatality rates by city, 1998
(excluding pedestrian fatalities; deaths/100,000/year)
9.80
10.52
11.33 13.12
Source: NHTSA
2.51
New York
3.76
San Francisco
6.55
Portland
9.80
Houston
10.52
Phoenix
11.33
Dallas
13.12
Atlanta
5.36
Philadelphia
10. Number of Lives Saved per year
if National Car Fatality Rate same as:
• New York City 24,000
• Portland 15,000
• Atlanta None– 15,000 additional
11. Average pedestrian fatality rates by city, 1996-2004
(deaths/100,000/year)
Source: FARS Analysis Reporting System, NHTSA
2.29
New York
3.43
San Francisco
2.42
Portland
2.63
Houston
4.06
Phoenix
3.39
Dallas
4.91
Atlanta
2.36
Philadelphia
Source: Calculated from annual summary of traffic fatalities published by the National Highway Traffic
Safety Administration in Traffic Safety Facts.
12. Pedestrian Danger Index, 2002-2003
Source: Mean Streets 2004
33.4
New York
49.4
San Francisco
43.0
Portland
121.9
Houston
117.2
Phoenix
103.7
Dallas
144.4
Atlanta
48.3
Philadelphia
Source: Ernst, M. Mean Streets 2004: How far have we come? Surface Transportation Policy
Project, November 2004. Accessed online at http://www.transact.org/report.asp?id=235 on Oct 4,
2006.
15. Asthma Study in 12 Southern
California High Schools
• 3535 children with no history of asthma in 6
high and 6 low air pollution high schools
• 5 years later: 265 children developed asthma.
– High ozone high schools:
• asthma rate was 3.3x higher in children playing
three or more sports.
– Low ozone high schools:
• sports had no effect on asthma rates
17. Results: Acute Care Visits for Asthma
1-16 year old residents of Atlanta
0
1
2
3
4
5
6
Medicaid Claims* Kaiser HMO Pediatric ER's Hospital Admissions
Baseline Period Olympic Period†
MeanDailyNumberofEvents
•p = 0.01
† July 19 –August 4, 1996
Source: Friedman, et al, JAMA, 2001
18. Did you Hear about Carmageddon?
When the 405 Freeway in LA Was
Closed for a Weekend in 2011?
19. Air Quality Change During Carmageddon
Close to the Highway Improved 83%
In West Los Angeles and Santa Monica Improved 75%
For the Region Improved 25%
2 day closure
of 10 miles of
Highway 405
in July 2011
20. “I like to play indoors
better ’cause that’s
where all the electrical
outlets are,”
-fourth grader.
21. New York Times
March 31, 2013
CDC Data
20% of Teen Age
boys taking
Diagnosed with
Hyperactivity
25. Obesity Trends* Among U.S. Adults
BRFSS, 1991(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14% 15%–19%
26. Obesity Trends* Among U.S. Adults
BRFSS, 1997(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14% 15%–19% ≥20%
27. Obesity Trends* Among U.S. Adults
BRFSS, 2009(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14% 15%–19% 20%–24% 25%–29% ≥30%
28. Obesity Trends* Among U.S. Adults
BRFSS, 2010
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14% 15%–19% 20%–24% 25%–29% ≥30%
29. NHANES -- Measured
NHANES – In person interview-- self-reported
BRFSS – Telephone Interview
Body Mass Index US Females 1988-1994
30. • …by 2030
obesity rates will
rise to 42%
• The US will need
to care for …
32 million more
obese people
than in 2010.
Forecast:
by 2030 the prevalence of the US
population with a BMI over 40 (~100 pounds
overweight) will be 11%
31. 0
25
50
75
100
Relationship Between BMI and Risk
of Type 2 Diabetes
Chan J et al. Diabetes Care 1994;17:961.
Colditz G et al. Ann Intern Med 1995;122:481.
Age-AdjustedRelativeRisk
Body Mass index (kg/m2
)
WomenWomen
MenMen
<22 <23 23
-
23.9
24
-
24.9
25
-
26.9
27
-
28.9
29
-
30.9
31
-
32.9
33
-
34.9
35+
1.0
2.9
1.0
4.3
1.0
5.0
1.5
8.1
2.2
15.8
4.4
27.6
40.3
54.0
93.2
6.7
11.6
21.3
42.1
44. Gain in Longevity for a 45-Year Old Male
5.8 years
8.7 years
0
2
4
6
8
10
Low vs Moderate Low vs High
Years of added life
Additional years of Life:
Moving from Low to Moderate Fitness -- 5.8 years
From Low to High –- 8.7 years.
46. Schools
• Since World War II
–Average School Size
• grew fivefold, from 127 to 653 students
• Number of Schools declined 70%
Credit: Constance E. Beaumant, NTHP
47. • Percent of
children who
walk or bike to
school:
• 1974 66%
• 2000 13%
(CDC, 2000)
We have changed
how much we
walk or bike
48. Fitness of California Children
Annual Fitnessgram Results
Conducted in Grades 5, 7, and 9
Measures 6 major fitness areas
(e.g. aerobic capacity, body composition, flexibility)
2011 Results: Who passed all standards?
Grade 5: 25%
Grade 7: 32%
Grade 9: 37%
http://www.cde.ca.gov/nr/ne/yr11/yr11rel95.asp#tab1
51. Complete Streets Bring Equity to
Community and Transportation
• Complete Streets
– social equity, aesthetics, walking, improved
local sales, community building
53. APHA National Meeting 2002-2003
Abstracts with “land use” - 0
2002 2003
A Big Shift in Public Health’s Awareness of Built
Environment as a Core Determinant of Health
61. • Significant increase in meeting the
weekly Recommended Physical
Activity
• … through walking
• …and through vigorous exercise
62. • The use of Light Rail Transit to commute to
work was associated with an average
reduction of 1.18 BMI points (p<0.05) and
81% reduced odds of becoming obese over
time.
• For a person who is 5’5” --equivalent
to a relative weight loss of 6.45 lbs.
63. The Need for Health Impact
Assessment (HIA)
• Big decisions are made without examining
potential health impacts (both positive and
negative) over the life cycle.
64. Cooper River Bridge
Charleston SC
• If you build a walkway on a major bridge, how
many pedestrians and bicyclists will use it?
Comparison fatality rates NYC Portland Atlanta if city rates were applied to the nation.
Methodology: Data on pedestrian fatalities and population for each city taken from annual summaries compiled in Traffic Safety Facts and available online at http://www-nrd.nhtsa.dot.gov/departments/nrd-30/ncsa/AvailInf.html. Rates per 100,000 were compiled for each data year and an average was taken. (Note: 2001 data was not available; 1997 rate uses 1996 population data.) Since this is not a measure of pedestrian exposure, it is not as accurate a predictor of pedestrian danger as the Pedestrian Danger Index.
Note: The Pedestrian Danger Index (PDI) takes the rate of pedestrian deaths per 100,000 population and weights this by the amount pedestrians walk. It is useful for comparing cities to one another and for comparing chance in pedestrian risk over time.
Carmaheaven
Tv/video games/media serve as “babysitter”; parents fear of letting their kids go outside; free-play/loitering considered “crime”/overstimulated kids with overbooked schedules leave no time for free, leisure play
Brain fatigue
Oklahoma ranked sixth worst for obesity rates
Relationship between BMI and risk of type 2 diabetes– corrected The risk of diabetes increases with increasing BMI values in men and women [1,2]. Moreover, the age-adjusted relative risk for diabetes begins to increase at BMI values that are considered normal for men (24 kg/m 2 ) and women (22 kg/m 2 ) based on mortality risk. The marked increase in the prevalence of obesity is an important contributor to the 25% increase in the prevalence of diabetes in the United States over the last 20 years [3]. Increases in abdominal fat mass, weight gain since young adulthood, and a sedentary lifestyle are additional obesity-related risk factors for diabetes [1,4,5]. Colditz GA, Willett WC, Rotnitzky A, Manson JE. Weight gain as a risk factor for clinical diabetes mellitus in women. Ann Intern Med 1995;122:481-486. Chan JM, Rimm EB, Colditz GA, et al. Obesity, fat distribution, and weight gain as risk factors for clinical diabetes in men. Diabetes Care 1994;17:961-969. Harris MI, Flegal KM, Cowie CC, et al. Prevalence of diabetes, impaired fasting glucose, and impaired glucose tolerance in U.S. adults. The Third National Health and Nutrition Examination Survey, 1988-1994. Diabetes Care 1998;21:518-524. Ohlson LO, Larsson B, Svardsudd K, et al. The influence of body fat distribution on the incidence of diabetes mellitus. Diabetes 1985;34:1055-1058. Helmrich SP, Ragland DR, Leung RW, Paffenbarger Jr RS. Physical activity and reduced occurrence of non-insulin-dependent diabetes mellitus. N Engl J Med 1991;325:147-152.
Light Rail Transit BMI PA Charlotte NC September 2010 AJPM