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Adolescent Health Disparities

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Title: Adolescent Health Disparities


1
Adolescent Health Disparities the Sociocultural
EnvironmentImproving outcomes for future
generations
  • Antronette K. (Toni) Yancey, MD, MPH
  • Professor, Department of Health Services
  • Co-Director, Center to Eliminate Health
    Disparities
  • UCLA School of Public Health
  • www.ph.ucla.edu/cehd
  • www.toniyancey.com

2
Presentation Outline
  • Overview of disparities definitions
  • Sociocultural, physical, and economic
    environmental risk in underserved communities
  • Social ecological intervention models
    underscoring recent PH successes
  • Specific examples of UCLA CEHD research projects
    addressing policy environmental solutions to
    adolescent health disparities building on
    cultural assets

3
Research Team/Collaborators
  • UCLA Bill McCarthy, PhD Brian Cole, DrPH
    Jabar Akbar, MPH Minal Patel, MPH Georgina
    Agyekum, MPH
  • Samuels Assoc Sarah Samuels, DrPH Sarah
    Stone-Francisco Liz Schwarte Lisa Craypo
  • UT Jerome Williams, PhD Chiquita Collins, PhD
  • UC Davis Diana Cassady, PhD
  • LAC DHS Paul Simon, MD, MPH Eloisa Gonzalez,
    MD, MPH Jonathan Fielding, MD, MPH, MBA
  • CA DHS Desiree Backman, DrPH Sue Foerster
  • UPenn Sonya Grier, PhD Amy Hillier, PhD
    Shiriki Kumanyika, PhD, MPH
  • Georgia Tech Craig Zimring, PhD, Gayle Nicoll,
    PhD, Keith Jundanian
  • CDC Bill Kohl, PhD

4
Years of Potential Life Lostby Ethnicity (per
100,000)
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U.S. Childhood Obesity Epidemic Trends
Obesity prevalence in U.S. children and
adolescents by age and time frame, 1963-2004
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Type 2 Diabetes Incidence Among Adolescents
  • 1982 0.7 / 100,000 per year
  • 1994 7.2 / 100,000 per year
  • 2004 13.9-16.0 / 100,000 per year

gt20-fold increase
Sources Pinhas-Hamiel O et al. J Pediatr
1996128608-15 Daniels et al, Circulat
20051111999-2012
9
Potential Influence on Life Expectancy
  • For the first time in thousands of years, this
    generation of children may live shorter lives
    than their parents
  • Chances of developing diabetes at birth for
    African-American and Latino children is about
    twice that of white children (1 in 2 vs. 1 in
    4)
  • Olshansky et al., NEJM 2005352(11)1138-45
  • Daniels et al, Circulat 20051111999-2012

10
Staying healthy is easier for some than for
others
  • UPPER SES LOWER SES
  • Education College GED or HS
  • Housing Own / Safe Rent / Safe?
  • Physical activity Gyms /Parks Few
    parks, move insecure
  • Advertising Sparse Pervasive
  • Neighborhood stores Fruit/Veg, food
    secure Drugs/Alcohol, food insecure
  • Police Helpful Abusive
  • Healthcare Private Doc
    ER, VA
  • Sick leave Accrued
    None
  • Leisure priority Exercise Rest
  • Work conditions Safe, hi decis.
    lat., Hazardous, lo decis. lat., no flex
    time no flex time
  • Child care Nanny/hi-qual facil. Family/neigh
    bor, lo-qual facil.
  • Elder/disabled care HHW/hi-qual
    facil. Family/neighbor, lo-qual facil.
  • Criminal just. sys. Little contact Much contact
  • Premature MM Low High

11
Excess physical environmental risk in underserved
communities
  • targeted/exploitative marketing
  • excess fast food outlets
  • few supermarkets
  • limited healthful shelf choices poorer quality
    produce
  • high-fat food availability (home, church
  • poorer public/less private transportation
  • distance to private fitness facilities
  • few worksite fitness opportunities
  • few/poor neighborhood recreation facilities
  • lesser neighborhood safety
  • poorer public/less private transportation
  • Adapted from Kumanyika S. Obesity in Minority
    Populations. In Fairburn G Brownell K, Eating
    Disorders and Obesity. A Comprehensive Handbook,
    2002.

12
Buford Highway projectEstimating projected
increases in walking
Increased walking based on improved walkability
Before
After
Avg LOS D (4.1) Estd LOS B-
(2.4) Avg min. walked/week 51 Estd
min. walked/week 62 -175
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14
Excess economic environmental risk in underserved
communities
  • low neighborhood demand for healthy food choices
  • low family incomes
  • other household expenses
  • little homegrown food
  • financial incentives for under-resourced schools
    by commercial vendors
  • limited investment in parks/recreation facilities
  • fitness facility fees
  • cost of exercise equipment
  • less stable employment patterns
  • fewer trained PE instructors
  • larger PE classes
  • poorly equipped facilities

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Excess sociocultural environmental risk in
underserved communities
  • traditional cuisine/cultural anchoring
  • prevalent obesity/norms
  • body image ideals
  • female roles
  • fasting-feasting/
  • (perceived) food insecurity
  • higher stressor levels/ comfort foods
  • cultural attitudes about PA, rest
  • fears about safety
  • female roles
  • cultural reverence for cars
  • hairstyle-related concerns about sweating
  • increased screen time

17
Obesity as social contagion
  • Social network analysis of 32
  • years of Framingham cohort study
  • data on 12,000 adults? weight
  • gain/loss/maintenance over time influenced by
    friends family, extending to 3 degrees of
    separation, independent of immediate physical
    environment (Christakis Fowler, NEJM, 2007)
  • Concluded that each individual influences the
    social norm for her/his circle
  • Thinness as well as obesity contagious

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Need for Focus on Behavior vs. Weight
  • Cultural influences on obesity definition
  • Behavioral economics (immediate availability
    usually governs choices)
  • Human tendency to do better when we feel
    better, not worse, about ourselves (obesity
    stigma)
  • Increasing risk of bulimia and other eating
    disorders among youth with unrealistic body image
    ideals
  • Evolutionary hard-wiring
  • Stress management/mood elevation benefits
  • Suggests need to focus on re-integrating PA
    increasing healthy food availability, appeal,
    pricing competitiveness

20
SB19 Early Implementation Study Baseline
demographics
21
Distribution of dieting classification, by
BMI-for-age
22
OR 0.79, 95 CI .72, .86, p lt .0001,
controlling for age, gender and subsidized lunch
eligibility
N 1,767 7th graders
23
Health behavior correlates of not trying to
control weight
  • Those not trying to control weight vs. other diet
    status categories ate fast food less often (p
    .04), ate sports bars less often ( p .004),
    drank sports drinks less often (p .001), drank
    sweetened juices less often (p .02) and
    participated in more minutes of physical activity
    in PE class (p .03). They also did better
    academically than other students (p .005).

note logistic regression models included age,
gender and meal subsidy eligibility as covariates
24
Capturing targeted media influence
  • Social action theory (Kumanyika Ewart) and
    social learning theory (Bandura) emphasize
    influence of role modeling and social comparisons
    with like others on self-efficacy and behavior

25
Physical Inactivity Levels TV viewing/computer
use, L.A. County Adults, 1999
26
Media Project six-city outdoor advertising
content analysis
  • Funded by CA DHS, UT, Penn, NYU RWJF
  • Cities LA, Philadelphia, Austin, Sacramento,
    Fresno, New York City
  • Comparing high low SES predominantly black,
    Latino, white neighborhoods (all 6 categories
    not available in all cities, e.g., high SES black
    in Sacramento and Fresno)
  • Utilizing secondary data from CHIS, LACHS,
    grocery store scanner (MOU with major supermarket
    chain) purchase data for correlational analyses

27
Media Project six-city outdoor advertising
content analysis
  • Digital cameras and GPS units used to record a
    photo and location coordinates of all ads in zip
    code
  • Electronic abstraction form captures domains
    including content, size, nature of appeal,
    density, visibility, ethnicity of subjects,
    weight status of subjects

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33
Preliminary findings
  • Absence of billboards and near-absence of other
    outdoor advertising in affluent white
    neighborhoodsexisting ads unrelated to weight
  • Essentially no outdoor advertising of
    PA-promoting goods services in any community,
    but large amount sedentary entertainment
    transportation ads in low-income communities
  • Pervasiveness of advertising in low-income white
    Latino communities, but more fast food,
    sugar-sweetened and alcoholic beverages in latter
  • City of LA has moratorium on new billboards, but
    in low-income Latino comm., large of new side
    of building ads similarly framed
  • Findings must be interpreted in light of
    historical covenants, fewer ads trad. In
    unincorp. areas

34
Preliminary Findings
35
Unhealthy Food Ad Density near Schools/Day Care
Centers( within ¼ mi of sugary beverage/fast
food ads)
36
Definitions
37
Definitions (cont.)
38
Representative sample of 749 LA adolescents
Yancey A, Siegel J, McDaniel K. Role models,
ethnic identity, and health-risk behaviors in
urban adolescents. Archives of Pediatrics and
Adolescent Medicine.
39
Findings regarding sports figures
  • Just over half (56) of 12-17 year olds
    identified a role model
  • Sports figures were the second largest category
    of role models selected (22 parents, 18 sports
    figures)
  • 72/73 of adolescents choosing sports figure role
    models were boys
  • Athletes or sports figures influence was as
    positive as that of other figure role models on
    self-esteem, grades and ethnic identityknown
    role models were most influential

40
Influence of Wanting to Look Like Media Figures
on Adolescent PA
  • Cross-sectional mailed survey of to national
    sample of 5061 boys and 6545 girls 9-16 years old
  • TV magazine categories incl. sports,
    including plurality of boys but infrequent girls
    sports media use
  • 46 of girls and 27 of boys reported making at
    least some effort to look like figures in the
    media
  • Adj. for age, BMI, Tanner stage, and race/
    ethnicity, total PA levels higher by 0.7 and 1.2
    hrs/wk in girls and boys, respectively, for every
    1 (out of 5) category increase in wanting to look
    like media figure
  • Taveras EM, Rifas-Shiman SL, Field AE et al. J
    Adol Health 200435(1)41-50.

41
Thin is NOT in, according to the new hip hop
standard
42
Capturing targeted media influence
  • A TV content analysis study found that more than
    4 times as many black prime time actors were
    overweight as actors on general audience shows
  • Tirodkar MA, Jain A. Food messages on African
    American television shows.Am J Public Health
    200393439-41.

43
Capturing targeted media influence
  • Ethnic differences in valuation of thinness may
    influence decisions of advertisers and casting
    directors, distorting TV reality
  • Less erosion of exercise self-efficacy,
    especially if depict PA
  • May reinforce cultural norms of excess weight,
    influencing body habitus ideals aspirations of
    young people

44
Shift in health promotion field (Spectrum of
Prevention)
  • The most effective and sustainable PH
    intervention approaches of the past two decades
    are the more upstream ones (structural/environme
    ntal vs. individual-level), involving social norm
    change
  • Tobacco control
  • Alcohol consumption and driving
  • Littering recycling
  • Seat belt child safety seat usage

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Spectrum of PreventionHealth behavior change
model
  • Level 1 Strengthening individual knowledge
    and skills
  • Level 2 Promoting community education
  • Level 3 Educating service providers
  • Level 4 Fostering coalitions and networks
  • Level 5 Changing organizational practice
  • Level 6 Influencing policy and legislation

47
Population Obesity Control Sample litmus test
  • Identifying policy/environmental change vs.
    individual/family change strategies
  • Does it rely on each participants
    motivation/volition each time PA occurs?
  • If one person leaves organization, does any
    element remain?
  • Does it reflect some substantial degree of
    organizational investment, i.e. time or ?

48
Professional Athletes Council
49
About PAC
Who is PAC?
  • First-ever pro athletes collaboration focused on
    reversing the rising trend of youth obesity
  • 32 professional athletes signed on with and
    endorsing PAC

Jerry Stackhouse
Allen Rossum
Paul Pierce
T.J. Duckett
Kasey Kahne
Ron Washington
Kym Hampton
Cobi Jones
50
Instant Recess
PAC Assets
  • Inspired and adapted from UCLA/LA County
    Department of Public Health Lift Off! series
  • (www.ph.ucla.edu/cehd/activity_breaks)
  • Aims to make prolonged sitting as socially
    unacceptable as smoking, or drinking driving
  • Focused on policy and environmental change in two
    types of settings in which athletes most likely
    to have substantial influence and
    credibilitysporting events/ stadiums and
    schools/after-school programs
  • Increase visibility through introduction of
    Instant Recess breaks into half-time shows of
    games, and healthy meal/snack options into
    concessions

51
Instant Recess
  • Pilot program being launched in California in
    partnership with the California Department of
    Health, UCLA School of Public Health and the
    Public Health Institute
  • Projected to reach more than 2200 public schools,
    including gt1.5 million students (most eligible
    for free/reduced price lunches
  • First DVD prototype completed May 2007
  • Features Allen Rossum, Kym Hampton (WNBA NY
    Liberty), Jason Kidd (NBA NJ Nets) and Lamar Odom
    (NBA LA Lakers)

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Instant Recess
  • DVD/CD package tool kit to help educators
    re-integrate recess or PA enjoyment back into
    school curriculum
  • 10 minutes of athlete-led activity experiences or
    brief structured exercises involving simple
    aerobic/resistance movements to music
  • Teacher guide with tips for sustaining interest
    of youth beyond Instant Recess
  • Emphasizes not only the importance of physical
    activity and eating nutritious foods, but also,
    more subtly, academic excellence and setting and
    striving to achieve socially constructive
    aspirations

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Critical need for Instant Recess is evident in
recently released California Physical Education
and Physical Activity StudyAvailable at
www.calendow.org
56
California School Physical Activity Physical
Education (PE) Assessment Study
  • Foundation (TCE) funded, 3-year study
  • Random sample of 10 school districts from the CDE
    Public School Directory stratified by region of
    the state (southern, central, northern), tertile
    of Fitnessgram scores SES
  • Average district12,000 students, incl. 43
    Latino and 53 White
  • Mean FRPL eligibility 58 (SES measure)
  • 100 incentive for participation
  • 77/200 schools responded (38.5 response rate,
    R26.7-58.8)

57
CA PA/PE Assessment Study
  • Three data collection methods
  • Principals (or most knowledgeable designee)
    survey45 principals, 48 PE teachers
  • Environmental audit of random sample of
    responding schools (facilities, recess, PE class)
  • Stakeholder survey (e.g., teachers, PTA members,
    school board members, fitness-related non-profit
    organization staff)

58
Principal survey findings
  • Participation rates lowest among kindergartners
    10th-12th graders
  • Lowest rates of adherence to mandated PE minutes
    in primary grades, K-3rd (CA state policy 200
    min/10 d elementary, 400 min/10 d secondary)
  • Mean student-to-teacher ratio in PE classes is
    41-52
  • Only 2 in 5 elementary schools report that they
    had certified PE instructors

59
Sample
  • Aimed for 3 schools in 10 school districts (some
    replacements due to recruiting problems and
    absence of elementary schools in one High School
    Districts)
  • 2 classes observed by at least one rater at each
    school
  • 18 classes at 9 elementary schools
  • 20 classes at 10 middle schools
  • 20 classes at high school
  • Additional observations for training and
    inter-rater reliability assessment
  • Intervals originally coded as 0 (student cannot
    be observed) were recoded as 2 (standing)

60
Avg. amount of PE class time in MVPAby school
level
School Level
The amount of P.E. class time that students were
physically active was slightly higher in higher
grades but there was a great variation within
each school level.
61
Avg. amount of PE class time in MVPA by
district avg. Fitnessgram scores (aerobic, state
tertile)
Amount of P.E. class time that students were
physically active was greater in outdoor classes
than indoor classes.
62
PE class time in MVPA by FRPL-eligible by
district avg. Fitnessgram score
63
Avg. amount of PE class time in MVPAby class
size (secondary schools only)
N6
N12
N12
N10
Class Size
The amount of P.E. class time that students were
physically active was less in larger classes.
64
Rel. between PE Quality (class t in MVPA) API
Score in High Low SES Schools
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PAAC/TAKE10! Best evidence for IR feasibility
Group RCTcollaboration between University of
Kansas ISLI 40 schools (gt70 free/reduced
lunch eligibility rates) in three Kansas
citiesKansas City, Lawrence, Topeka Incorporate
10-minute PA breaks into regular academic
lessons, e.g., math, science, English
curricula Accumulate 90-100 minutes per week of
PA in addition to PE recess (constrained in
low-resource/-performance schools) No additional
teacher preparation time Changes
environment Participation mandatory Training
through existing in-service mechanismlittle
added cost Easily perpetuated and replicated FUN!
67
InterventionAverage PAAC Minutes/Week At the End
of Year 1
Minutes per week
These values are averages across all intervention
schools
68
Average PAAC Min/Week Average PAAC Min/Wk At
the End of Year 2
Minutes per week
Months
These values are averages across all intervention
schools
69
Instant Recess
  • DVD excerpt
  • movement break demonstration
  • www.ph.ucla.edu/cehd
  • www.athletescouncil.com
  • www.phi.org/pac

70
Community Cost-Sharing
We must be the change we wish to see in the
world. --Mahatma Gandhi
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