Upload
brendan-palmer
View
213
Download
0
Tags:
Embed Size (px)
Citation preview
Experience Corps: A Social Health Promotion Program to Improve Cognitive
and Functional Health Michelle C. Carlson, Ph.D.
The Johns Hopkins Bloomberg School of Public Health, Center on Aging and Health
Joint Symposium: Promoting Health in AgingSeptember 27, 2011
Major Societal Health Challenges to be Addressed
• Compression of morbidity for an aging society
• Educating the next generation: strong predictor of future health status
• Health disparities: young and old• Competition for health resources between
generations
Social Engagement as a Vehicle to Increasing Cognitive & Physical Activity
• “Engagement” hypothesis: Cognitively enriching and complex lifestyle and occupational activity will boost one’s ‘cognitive reserve” (e.g., Schooler et al., 1999; Schooler & Mulatu, 2001; Verghese et al., 2003)
• Physical activity exerts broad cognitive and neural benefits (Kramer et al., 2003; Colcombe, Kramer, Erickson, et al., 2004)
• Social integration and engagement associated with improved
cognition (e.g., Bassuk et al., 1999; Rowe, 2004; Rowe & Kahn, 1998)
• HOWEVER, retirement and age often bring a constriction of
social circles:– Loss of regular access to work friends -- Friends/peers becoming disabled
Challenges of Physical Exercise Interventions
• Long-term adherence to PA interventions is abysmal (Mayoux-Benhamou et al., 2005) -- 22-76% of those who start exercise programs drop out within 6 months
• Spontaneous physical activity decreases with age across the animal kingdom- from worms to humans (Wilkin, et al., 2006)
• Particularly challenging among sedentary & other high-risk segments of the population (e.g., low SES, high BMI, restricted access to healthcare)
• Community-based, multi-level approaches needed
Generativity as Key to Successful Aging
[Erik Erikson]
• Leaving a legacy• Leaving the world better for future
generations• Productive, meaningful engagement
Social Health Promotion Model of Generative Service:Growing & Maintaining Health on both Ends of Life
Course
• What older adults do affects their health– remaining relevant, engaged, & active–access to health promotion varies, particularly among
those at risk for health disparities, where drop-out is high
• Teaching children during critical developmental window: – Pressing need to close the achievement gap between
disadvantaged students and their peers
• An aging society’s wisdom can bring benefits to a developing generation: –Potential societal “win-win” on both ends of the life course
Conceptual Framework for the Baltimore Experience Corps® Trial
Experience Corps Participation
(generative performance)
Physical Activity
Cognitive Stimulation
Physical function(mobility)
Social Engagement
Intervention
Global function(IADL’s)
Quality of Life
Cognitive function
Health care costs(hospital &
outpatient costs)
Primary Pathways
Mechanisms Outcomes
Functional parameters:+ strength & balance
- falls
Psychosocial parameters:
+ social support+ self-efficacy
Cognitive parameters:+ cognitive reserveChanges in brain
structure and function
Experience Corps Model• Volunteers 60 and older• Serve in public elementary schools: K-3• Meaningful roles; important needs• High intensity: >15 hours per wk• Reimbursement for expenses: $150/mo• Sustained dose: full school year• Critical mass, teams• Health behaviors: physical, social, and
cognitive activity• Leadership and learning opportunities • Infrastructure to support program• Program evaluation
Experience Corps nationally• Designed in early 90’s (Freedman and Fried)• 1995-8: National demonstrations, 5 cities;
sponsored by CNS• Ongoing implementation and expansion in 19
cities• Experience Corps Baltimore: site of program co-
design, expansion, evaluation (supported by Americorps, Civic Ventures, Weinberg Foundation, CARE, City of Baltimore; Research support: NIA, Retirement Research, Erickson)
EC Pilot Randomized Trial: 1999-2000
• 151 volunteers >60 years– Controls wait-listed to enroll the following
year• Randomized to treatment (n=72) or
control schools (n = 79) • 98% retention rate in Year 1• 4-8 months follow-up
Impact on K-3rd Grade Children
Pilot results show positive benefit for children. In
first year of program operation: - Office referrals for behavioral issues dropped by
50% in two EC schools and 34% in the other EC school.
- Vocabulary scores on the PPVT-III improved in K and 1st grade students.
- The percentage of children scoring “satisfactory” on the MSPAP reading test improved.
-100
-80
-60
-40
-20
0
20
40
Change o
f Suspensio
ns
1 2 3 4 5
Change in Number of Suspensions from 2003-2004 to 2005-2006 (Original + New Schools)
Series1Series2
Kindergarten Grade 1 Grade 2 Grade 3 Total
EC
Non-EC
Impact on Volunteers: Baseline Characteristics of Experience Corps Pilot Trial
Participants
Age ( Range: 60-91) 60-65 31%66-70 33%> 71 36%
Gender Male 18%Race Black 92%
White 8%Married 24%Education High school or less
82%Health Excellent/very good 29%
Good 60%Fair 12%
Pilot Trial Results: Increased walking & decreased sedentary activity
Walking Distance(block) per Week
31.4%
-9.0%-15.0%
-10.0%
-5.0%
0.0%
5.0%
10.0%
15.0%
20.0%
25.0%
30.0%
35.0%
Intervention Control
Group
% o
f C
ha
ng
e f
rom
BL
to
FU
Fried et al., 2004
Number of TV Hours per Day
-3.9%
18.1%
-10.0%
-5.0%
0.0%
5.0%
10.0%
15.0%
20.0%
Intervention Control
Group%
of c
hang
e fr
om B
L to
FU
Pilot RCT Results: EC Baltimore; 4-8 months follow-up
EC participants n=59
Controls N=54 P value(adjusted)
More physically activeAt follow-up 53% 23% .01
Kcal/wk- difference, baseline to f/u:Overall:
Low activity, baseline
810 1130 (+ 40%)
420 880 (+110%)
670 560 (-20%)
490 500 (+ 2%)
.52
.03
Stronger at follow-up 44% 18% .02
Tan 2006
Fried 2004
Targeting executive function through real-world social health
promotion programs
Targeting Executive Function:Why Important?
• Ability to plan, initiate, and carry out a course of action
• Involves:– Ability to shift flexibly, modify goals– Inhibit & update irrelevant or distracting
information• Age-related changes in executive function
may precede changes in memory (Carlson et al., 2009)
• Integral to performing many independent activities of daily living
(e.g., Grigsby et al., 1998; Carlson et al., 1999)
Program Components to Enhance
Executive Function • Embraces environmental complexity:
– Broad vs. specific intervention design– Embedded within everyday activity
• Multiple roles (e.g., tutoring, library):– Flexibly shifting among roles– Variety; stimulating multiple domains of ability
• Problem solving with team members & teachers• Potential for broad generalizability to multiple
cognitive and functional outcomes
-12%
-26%
37%
9%
40%
44%44%
51%
-30%
-20%
-10%
0%
10%
20%
30%
40%
50%
60%
Per
cen
t Im
pro
vem
ent
(bas
elin
e to
fo
llow
up
)
Control
Intervention
TMT A TMT BRey-O DelayedECA Word List Memory Delayed
Carlson, Saczynski, Rebok, et al., 2008
Improvements in those With Poor Executive Function at Baseline
Conclusions: Population-based Approaches to Healthy Aging
• Generative potential attracts and fulfilled generativity retains older adults
• Lifestyle activity-- 15-hour/week dose of increased physical, cognitive and social activity, each of which is neurocognitively protective
• High long-term retention: sustained dose of prevention
• Target Multiple Systems to Compress morbidity:– Disability, mobility, executive function, memory– Reduce Health disparities
• Designed for a win-win– Harnessing social capital of aging society
Characteristic Participants Controls
Age, mean years 68 (r: 62-78) 68 (r: 63-75)
Female, n (%) 8 (100) 9 (100)
African American, n (%) 8 (100) 9 (100)
Education, mean years 12 12
Widowed, n (%) 5 1
MMSE, mean 24.5 25.6
Do Improvements Get Under Skin?EC Functional Brain MRI (fMRI) Pilot Study of EF
Demographics of an At-Risk Group
Carlson, Erickson, Kramer, Colcombe, Bolea, Mielke, Rebok & Fried, 2009
EC participants show improved performance on difficult condition after 6 months exposure
Reduction in Flanker I nterference by Group and Cue Size
-20
0
20
40
60
80
100
120
140
EC Control
Group
) R
ed
ucti
on
in
In
terf
ere
nce E
ffect(
in m
illisecon
ds
Congruent
<<<<<Incongruent
<<><<
Intervention-specific change in executive attention
Carlson, Erickson, Kramer, Colcombe, Bolea, Mielke, Rebok & Fried, 2009
Preliminary Conclusions
• Change in patterns of activation are evident
• Behavioral RT and fMRI data correspond in showing improved ability to selectively attend during the most demanding conditiono Increased activity in attentional control regions suggests more
successful filtering/inhibiting of conflicting informationo Corresponding reduction in dACC suggests better filtering of
conflicting information
• Consistent with patterns observed in a 6-month physical activity intervention
(Colcombe et al., PNAS 2003)
Large-scale RCT of EC: Baltimore
• Evaluation funded by NIA BSR and initiated in Fall 2006 & concluding Dec. 2011
• Randomized:– 702 60 yrs. and older to EC or low-activity control– 30+ public elementary schools to EC or control
• Exposure: 2 years of high-intensity service• Outcomes:
– Physical: Disability, mobility, walking speed– Cognitive: Memory, executive fx – IADLs: Hopkins Med. Schedule
Demographic & Health Characteristics of BECT Participants
Demographic characteristics:N=702Age 67
Education 41 % ≤ 12th Grade25% ≥ 16 Grades
Sex (% Female) 85%
Racial (% African American) 89.4%
Income 24% < $10,00050% < $25,000
Mini-Mental State Exam (MMSE) 28
Brain Health Substudy (BHS)
• Examine the direct effects of enriched environment on brain systems and function
• Incorporate physiologic & biologic measures to help:– characterize the baseline health of this cohort – inform the larger behavioral trial by
identifying mechanisms by which
activity gets under the skinExperience Corps
RCT
N=702
BHSN=120
BHS Neurophysiologic Measures as Intermediate to Behavioral Outcomes
• Functional and Structural Brain Health• Fasting Blood to obtain Lipid, Inflammatory biomarkers of
baseline health and intervention efficacy• CNS Integrity: Salivary Cortisol• Objective Measure of Physical Walking Activity: Step
Activity Monitor
Step Activity Monitor (SAM)Salivary CortisolFunctional MRI
Accounting for Baseline Heterogeneity in Brain Structure
Healthy Brain
Brain Atrophy
Characterizing physical activity in a sedentary cohort:
Participant recorded an average of 7.0 minutes per day at moderate-intensity (≥100 steps/min), while accumulating 337.1 minutes at low-intensity (<100 steps/min), and 685.1 minutes of sedentary activity (0 steps/min). Clinical guidelines recommend at least 30 minutes per day of moderate-intensity activity, however low-intensity activity may be associated with health benefits.
Varma et al., submitted
7.0
337.1
685.1
Moderate-in-tensity activityLow-intensity ac-tivitySedentary activity
2.5
33
.54
4.5
0 5000 10000 15000 20000 25000avg_steps
Fitted values Lhippocampus
2.5
33.
54
4.5
20 40 60 80 100 120avg_max10
Fitted values Lhippocampus
Association between daily step activity and hippocampal volume, a structure important to memory and
dementia risk
Avg. steps/day Max steps in 10 min
Varma et al., in preparation
Low levels of physical activity matter
02
46
8
Dis
tan
ce (m
iles)
0 6 12 18 24 30 36Time - 36hrs
Change in Distance Between Locates (VJ)
05
10
15
20
Dis
tan
ce fr
om
Hom
e (
mile
s)
0 6 12 18 24 30 36Time - 36hrs
Distance Away from Home Over Time (VJ)
05
10
15
Dis
tan
ce fr
om
Hom
e (
mile
s)
0 6 12 18 24 30 36Time - 36hrs
Distance Away from Home Over Time (GH)
05
10
15
Dis
tan
ce (m
iles)
0 6 12 18 24 30 36Time - 36hrs
Change in Distance Between Locates (GH)Change in Distance Between Locates (Less Active)
Distance Away from Home Over Time (Less Active) Distance Away from Home Over Time (More Active)
Change in Distance Between Locates (More Active)
More ActiveLess Active
Conclusions for Community-basedHealth Promotion
• Social engagement models may serve as effective vehicle to promote & sustain cognitive and physical activity– In EC, social contract with children and peers gets them out
of bed each morning & walking to & in school– Baseline step activity & hippocampal volume data suggest
that such changes may be sufficient to derive benefits
• Leverages abilities improving with age to boost those declining & the developmental need to give back:– Volunteers embedded & empowered within the school
community to make a difference
• Reaches those who are sedentary at baseline and may not otherwise exercise for personal health
Investigative TeamLinda Fried (PI)Dean, Columbia Mailman School of
Public Health
George Rebok (co-PI)
Erwin Tan
Elizabeth Tanner
Jeanine Parisi
Paul Willging
Teresa Seeman
Tara GreunewaldUniversity of California, Los Angeles
Sylvia McGillGreater Homewood Community
Corporation
Brain Health Substudies:
Vijay Varma
Dana Eldreth
Greg Harris
Yi-Fang Chuang
Natalie Bolea
Michelle Mielke
Chris Seplaki University of Rochester, NY
Arthur Kramer
University of Illinois, Urbana
Kirk Erickson
University of Pittsburgh•
Funding Acknowledgments• NIA BSR Grant # P01AG027735-03,
administrative supplement• Greater Homewood Community
Corporation• Johns Hopkins OAIC Pepper Center Grant
#P30AG021334• Johns Hopkins Neurobehavioral Research
Unit• S.D. Bechtel Award
Expanding Methods to Assess Predictors of Variability in White Matter Connectivity: DTI
Total Steps per day: 8662
Max. 10 min of activity(54 steps/min)
Max. 10 min of activity(22 steps/min)
Daily Step Activity
Total Steps per day: 2274
HOW MUCH / WHEN
AIM 1
WHAT
AIM 3
WHERE /HOW FAR
AIM 2
Social -card games -church
Physical Exercise -walking -other
Functional -shopping -caring for others
Structural MRI
fMRI
Cognitive: Executive Function Memory Processing Speed
Psychological: Depressive Scale GenerativityPhysical: Grip Strength 4-Meter Gait
OUTCOMES
BIOLOGICAL BEHAVIORAL
ACTIVITY PATHWAYSEMADevices
Carlson Experience Corps Follow-up Grant
Lifestyle Activity
3. Smartphone: Motorola Droid Pro
2. Cellular Localization Device: P-trac Pro
1. Accelerometer : Actical, Phillips Respironics Inc.
Vision
Hearing
SENSES
Baseline Characteristics of an At-Risk Group: BHS Participants in EC Trial
Demographic characteristics:N=120Age (mean) 67
Education 41 % ≤ 12th Grade25% ≥ 16 Grades
Sex 72% = Female
Racial/Ethnic group 89.4% = AA
Income 24% < $10,00050% < $25,000
MMSE (mean)WRAT (mean)
27 56