Upload
reegan
View
33
Download
0
Tags:
Embed Size (px)
DESCRIPTION
The Big Picture: Obesity in South King County & Beyond. Jim Krieger, MD, MPH "I"CANN Leadership Forum for a Healthier Generation September 12, 2013. Today’s Presentation. Obesity Overview of the data National South King County What is driving the obesity epidemic? - PowerPoint PPT Presentation
Citation preview
Jim Krieger, MD, MPH"I"CANN Leadership Forum for a Healthier
GenerationSeptember 12, 2013
The Big Picture: Obesity in South King County & Beyond
Obesity•Overview of the data
– National– South King County
•What is driving the obesity epidemic?•What can we do about it?
Today’s Presentation
Overview of the National Data
Obesity Trends* Among U.S. AdultsBRFSS, 1985
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14%
Obesity Trends* Among U.S. AdultsBRFSS, 1986
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14%
Obesity Trends* Among U.S. AdultsBRFSS, 1987
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14%
Obesity Trends* Among U.S. AdultsBRFSS, 1988
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14%
Obesity Trends* Among U.S. AdultsBRFSS, 1989
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14%
Obesity Trends* Among U.S. AdultsBRFSS, 1990
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14%
Obesity Trends* Among U.S. AdultsBRFSS, 1991
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14% 15%–19%
Obesity Trends* Among U.S. AdultsBRFSS, 1992
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14% 15%–19%
Obesity Trends* Among U.S. AdultsBRFSS, 1993
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14% 15%–19%
Obesity Trends* Among U.S. AdultsBRFSS, 1994
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14% 15%–19%
Obesity Trends* Among U.S. AdultsBRFSS, 1995
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14% 15%–19%
Obesity Trends* Among U.S. AdultsBRFSS, 1996
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14% 15%–19%
Obesity Trends* Among U.S. AdultsBRFSS, 1997
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14% 15%–19% ≥20%
Obesity Trends* Among U.S. AdultsBRFSS, 1998
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14% 15%–19% ≥20%
Obesity Trends* Among U.S. AdultsBRFSS, 1999
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14% 15%–19% ≥20%
Obesity Trends* Among U.S. AdultsBRFSS, 2000
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14% 15%–19% ≥20%
Obesity Trends* Among U.S. AdultsBRFSS, 2001
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14% 15%–19% 20%–24% ≥25%
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
Obesity Trends* Among U.S. AdultsBRFSS, 2002
No Data <10% 10%–14% 15%–19% 20%–24% ≥25%
Obesity Trends* Among U.S. AdultsBRFSS, 2003
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14% 15%–19% 20%–24% ≥25%
Obesity Trends* Among U.S. AdultsBRFSS, 2004
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14% 15%–19% 20%–24% ≥25%
Obesity Trends* Among U.S. AdultsBRFSS, 2005
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14% 15%–19% 20%–24% 25%–29% ≥30%
Obesity Trends* Among U.S. AdultsBRFSS, 2006
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14% 15%–19% 20%–24% 25%–29% ≥30%
Obesity Trends* Among U.S. AdultsBRFSS, 2007
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14% 15%–19% 20%–24% 25%–29% ≥30%
Obesity Trends* Among U.S. AdultsBRFSS, 2008
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14% 15%–19% 20%–24% 25%–29% ≥30%
Obesity Trends* Among U.S. AdultsBRFSS, 2009
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14% 15%–19% 20%–24% 25%–29% ≥30%
Obesity Trends* Among U.S. AdultsBRFSS, 2010
(*BMI ≥30, or ~ 30 lbs. overweight for 5’ 4” person)
No Data <10% 10%–14% 15%–19% 20%–24% 25%–29% ≥30%
Obesity Trend since the 1960’s
Obesity projections- adults
Childhood Obesity trends
• The very young: age 0-2– 1 in 10 children are overweight
• The young: age 2-5– 1 in 5 are overweight/obese– Rate has doubled over the past 30 years
• The rate of overweight increases most rapidly in elementary school-age kids
• The “child will grow out of it with time” is a myth.– If overweight during preschool, 5 times higher risk of being
overweight at age 12
Obesity in early childhood: what do we know?
Consequences of Obesity
Health Consequences of Obesity
• 27% of increase in health spending between 1987-2001 due to obesity3
• More recent estimates:2
– Obese people cost $2826 MORE per person per year in medical costs relative to normal weight people
– Obesity now accounts for 16.5% of national spending on medical care
1 Finkelstein et al., Health Affairs: 20092 Crawley and Myerhofer. Natl Bur Ec Res. Working Paper 16467, 20103 Thorpe, et al. Heatlh Affairs W4:480, 2004
Medical Costs 1988 20081
(inflation adjusted) $78.5 billion/yr
$147 billion/yr
Medical Costs of Obesity
Impact on business
• For a firm with 1000 employees, obesity costs $285,000 per year (30% absenteeism, 70% medical costs4)
• Obese workers have 1-5 more sick days per year1, 3
• 10% of corporate health care costs attributable to obesity2
1 Neovius. Obes Rev 10:17-27, 2009, Tsai Ann Epidemiol. 18:8-14, 20082 http://www.npr.org/2011/10/27/141760591/workplaces-feel-the-impact-of-obesity
3 Hammond. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, 20104 Finkelstein & Brown. NC Medical Journal. 67:310-312, 2006
Impact on Business
A Look at South King County
South County Adult Obesity Rate – Health Reporting Areas
Adult Obesity Rate by City – South County
How does South King County compare to the rest of the County?
Obesity Disparities in South King County
Youth Obesity Rate in King County – 2012
How does South King County compare to the rest of the County?
Youth Obesity in South County – 2012
Early Childhood Obesity Rate – King County (Low Income Children)
Looking to the future
Comparing Diabetes in King County
Too many calories INNot enough calories OUT
ENERGY GAP – 30-175 CALORIES A DAY
What is causing the epidemic?
Calories in: How much food is that?
240 180 150
2,000
2,100
2,200
2,300
2,400
2,500
2,600
2,700
2,800
1971
1973
1975
1977
1979
1981
1983
1985
1987
1989
1991
1993
1995
1997
1999
2001
2003
2005
2007
2009
Dai
ly C
alo
ries
USDA ERS website http://www.ers.usda.gov/Data/foodconsumption/FoodGuideSpreadsheets.htm
Daily per capita calories(adjusted for spoilage and waste)
• Half of 2-3 year olds drank at least one sugary drink a day
• A quarter of calories consumed by 2-3 year olds are from sweets and sugary drinks2
• 30% ate no vegetables on the day of the survey, 5% ate no fruit
• French fries were the most commonly consumed vegetable from 12 months to 4 years of age
1 Nestlé Nutrition Institute; JADA 2010.2 Reedy & Krebs-Smith JADA, Oct 2010
What are pre-schooler’s eating and drinking?1
74%
King County youth who do not eat recommended amounts of fruits and vegetables
US, 1988-1994 vs. 1999-2002
Source: Wang YC et al., Pediatrics: 2006 and Wiecha et al., Archives of Pediatric and Adolescent Medicine: 2006.
How to reduce about 150 calories:• Replace 1 can of soda (12 oz) with water
• Reduce TV watching by an hour
• Increase PE from 1 to 3 times/week
Average Weight Gain (lb)
Daily Increase in Calories
All Teens 10 110 - 165
Overweight Teens
58 678 - 1,017
Teens are eating more caloriesand gaining weight
40% of total calories are empty calories
170 calories a day 165 calories a day
Reedy & Krebs-Smith JADA, Oct 2010Institute of Medicine. Preventing Childhood Obesity, 2005
Top sources of calories for 9-18 year olds
Each extra serving of a sugary drink consumed per day increases the chance of becoming obese by 60%
soda energy drinks sports drinks sweetened water fruit drinks
Dramatic increase in availability
How much are King County youth drinking?
Snacking on the rise
• Snacks contribute 30% of the total calories in preschoolers diets (mainly crackers, cookies, and candy)
• Kids age 6-11 eat three times as many chips, crackers, popcorn and pretzels than in the mid-1970s1
• 52% of teens now eat 2 or more snacks a day compared to 25% in the 1970s
1 Nationwide Food Consumption Survey 1977-78 and What We Eat in America, NHANES 2005-062 Popkin 2011
• TV advertising Influences consumption by
children ages 2–11 years Associated with body fatness
in children 2–18 years
Exposure to fast food ads between increased by1:
• 21% for preschoolers• 34% for children• 39% for teens
• $4.2 billion dollars in 2009 for fast food marketing ($1.6 billion to children)
1 between 2003-2009
Unhealthy foods regularly marketed to kids
Portion sizes have grown
Less healthy food is everywhere
• We are eating out more and eating more when eating out
• High calorie foods are featured in supermarkets
• Vending machines and convenience stores carry high calorie food
• Cafeterias at worksites and schools tempt us
Selected Food Price Trends, 1961-2009Inflation Adjusted
Source: BLS; NHES-I 1960-62; NHANES, 1971-74, 1976-80, 1988-94, 1999-2000, 2001-02, 2003-04, 2005-06
Selected Food Price Trends, 1978-2009Inflation Adjusted
Source: BLS; NHES-I 1960-62; NHANES, 1971-74, 1976-80, 1988-94, 1999-2000, 2001-02, 2003-04, 2005-06
Calories out: How much activity is that?
Based on 175 pound person
60 minute leisure bike ride:
Approx. 300
60 minutes of swimming: Approx. 400
60 minutes of running:
Approx. 500
No Leisure Time Physical Activity – South County
76%
King County youth who do not meet guidelines for daily physical activity
Children are not active enough
Daily PE Attendance
To 31% in 2011 from 42% in 1991 35% of high school
students watch 3 or more hours of television per day
0
10
20
30
40
50
60
70
AfricanAmerican
AI/ AN Asian NH/ PI Multiracial Hispanic/Latino
White
pe
rce
nt
More than 3 hours screen time per day
King County 2010, Grades 8 10 12
What can we do to reverse the trend?
It is unreasonable to expect that people will change their behavior easily when so many forces in the social, cultural, and physical environment conspire against such change. - Institute of Medicine
Frieden. American J Public Health, 2010
Thank you!