A Telephone-Based Diabetes Prevention Program and Social Support for Weight Loss: the Call-2-Health Study Presenter: Sharon Fuller Co-authors: Evette Ludman, PhD; Amy Mohelnitzky MEd; Gabrielle Gundersen; Rob Wellman, MS; Rob Reid, MD, PhD; Katherine Newton, PhD HMORN 2012 Conference May 2, 2012 Funded by NIDDK R34 DK076555
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A Telephone Based Diabetes Prevention Program and Social Support for Weight Loss The Call 2 Health Study FULLER
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A Telephone-Based Diabetes Prevention Program and Social Support for Weight Loss:
the Call-2-Health Study Presenter: Sharon FullerCo-authors: Evette Ludman, PhD; Amy Mohelnitzky MEd;
Gabrielle Gundersen; Rob Wellman, MS; Rob Reid, MD, PhD; Katherine Newton, PhD
HMORN 2012 ConferenceMay 2, 2012Funded by NIDDK R34 DK076555
Call-2-Health
Diabetes Prevention Program (DPP) translation Goal to design an intervention that:
Is effective in diverse populations and settings Is affordable Has reach
2-year pilot study (R34 - NIDDK) Randomized controlled trial Effect on weight loss and exercise of telephonic behavioral
intervention modeled on the DPP vs. usual care
Main Study Aims1. Evaluate feasibility / acceptability
2. Conduct a preliminary evaluation of the intervention’s effectiveness
3. Inform the design and implementation of a full-scale effectiveness trial
Sub-Analysis Aims
assessed the impact of Call-2-Health on participants’ report of support for dietary changes from family and friends
examined the correlation of social support for dietary changes with weight loss success
On the hypothesis that social support may be critical to long-term maintenance of behavioral changes, we:
Inclusion Criteria From automated records
Male or female Age 45-74 BMI ≥ 25 kg/m2 Fasting plasma glucose 105-125 mg/dl or A1C 5.7-6.4 Receives primary care at Group Health’s Central, Rainier,
or Poulsbo Clinic
Followed up with phone screening and laboratory tests to confirm eligibility and willingness to participate
Exclusion Criteria Medical History
Type 1 or 2 diabetes FPG <105 or >125 mg/dl at screening blood draw HbA1C <5.7 or >6.4 at screening blood draw Exercise ≥ 30 minutes/day, at least five days a week Current participation in another structured weight loss
program or intervention study Severe concurrent disease Unable to walk ≥ 10 minutes
Logistics Unavailable for the 24-week study period Unable to read or speak English
InterventionParticipants randomly assigned to usual care (UC) and
intervention groups (IG) for the 24-week study
Usual Care (n=23) Clinic visits at baseline, 12 and 24 weeks, including
physical measures, blood tests and collection of questionnaires
Three UC participants failed to complete the study
Intervention Group (n=24) Usual Care plus 12 weekly intervention calls and 4
maintenance calls over the following 12 weeks IG participants completed 95% of intervention calls
Sallis Social Support Scale – Eating Habits Separate measures of encouraging and
discouraging behaviors by family and friends
Five questions per measure
Answers “none” (1) to “very often” (5) based on behaviors in the last three months
Scored by totaling points (possible range 5-25 points)
Social Support for Eating Habits - ItemsEncouragement Encouraged me not to eat
“unhealthy food” (cake, potato chips) when I am tempted to do so
Discussed my eating habit changes with me (asked me how I am doing with my eating changes)
Reminded me not to eat high fat, high calorie foods
Complimented me on changing my eating habits (“Keep it up”, “We are proud of you”)
Participant Characteristics at Baseline Usual Care (n=23) Intervention (n=24)
Age, mean (SD) 56.9 (8.2) 59.7 (8.3)
Female, % 52% 50.0%
Married or cohabiting, % 77.3% 70.8%
Hispanic, % 0% 8.3%
Race, %
White 72.7% 83.3%
Black 22.7% 12.5%
Asian 4.6% 0.0%
Other 0.0% 4.2%
Weight, mean (SD) (Kg) 90.5 (21.9) 101.9 (21.8)
BMI, mean (SD) (Kg/M2) 31.4 (5.3) 35.0 (7.2)
FPG, mean (SD) (mg/dL) 105.3 (7.7) 106.8 (8.9)
HbA1C, mean (SD) (%) 5.8 (0.3) 5.8 (0.3)
Participant Characteristics at BaselineSallis Eating Habits Social Support Scores, mean (SD) Usual Care Intervention
Encouragement
Family 12.1 (6.5) 12.1 (5.8)
Friends 8.6 (4.8) 6.7 (2.3)
Discouragement
Family 11.0 (4.8) 9.1 (4.2)
Friends 9.6 (4.0) 10.7 (4.7)
Outcomes – Weight Loss
24 Weeks
Usual Caren=21
Interventionn=23
Differencep
Mean (95% CI) Mean (95% CI) Mean (95% CI)
Weight (Kg) 94.9 (92.8, 96.9)
88.0 (85.3, 90.6)
-6.9 (-10.2, 3.5)
<.0001
BMI (Kg/M2) 32.7 (32.0, 33.4)
30.3 (29.4, 31.2)
-2.4 (-3.5, -1.3)
<.0001
Achieved 7% Weight Loss (%)
15.6 (-12.8, 43.9)
65.9 (28.4, 103.3)
50.3 (25.7, 74.8)
<.0001
adjusted for baseline weight
Outcomes – Eating Habits Social Support24 Weeks
Usual Care Interventionp
Mean (95% CI) Mean (95% CI)
Encouragement
Family 12.7 (10.8, 14.6)
16.5 (14.4, 18.6)
.013
Friends 7.8 (6.5 ,9.2)
10.6 (9.2,12.0)
.004
Discouragement
Family 9.6 (7.8,11.3)
10.0 (9.1,11.0)
.672
Friends 9.4 (7.7,11.0)
9.9 (8.8,11.0)
.575
adjusted for baseline weight, age and baseline score
Correlation between weight loss and change in dietary encouragement - family
UC: r = -0.69 (CI= -0.88, -0.28)
IG: r = -0.56 (CI= -0.80, -0.12)
UC
IG
24 Weeks
chan
ge in
wei
ght
(Kg)
change in encouragement score
Correlation between weight loss and change in dietary encouragement - friends
UC: r = -0.34 (CI = -0.68, 0.13)
IG: r = -0.40 (CI = -0.71, 0.04)
UC
IG
chan
ge in
wei
ght
(Kg)
change in encouragement score
24 Weeks
Correlation between weight loss and change in dietary discouragement - family
UC: r = -0.28 (CI= -0.68, 0.25)
IG: r = -0.25 (CI= -0.63, 0.24)
UC
IG
change in discouragement score
chan
ge in
wei
ght
(Kg)
24 Weeks
Correlation between weight loss and change in dietary discouragement - friends
UC: r = -0.41 (CI= -0.72, 0.05)
IG: r = -0.56 (CI= -0.79, -0.16)
UC
IG
change in discouragement score
chan
ge in
wei
ght
(Kg)
24 Weeks
Discussion correlation <> causality
logical to hypothesize that increased encouragement facilitates weight loss
also logical to hypothesize that weight loss triggers discouragement from friends
haven’t proven either one wide variability in score changes; sometimes
changes larger in UC than IG possible changes in perception or in participant
rather than actual changes in support – particularly in IG
small N means less power to detect differences
Conclusion The intervention did not specifically target
increasing social support, but made a bigger difference in support scores than expected.
Consistent with the literature, we found very high correlation between weight loss and increase in perceived social support for dietary changes, though the question of causality remains open.
Future Research DirectionsUsing existing data: compare increase in pedometer steps with changes in
social support for exercise explore results of other weight-loss specific measures
Additional research: larger N longer follow-up – once out of intensive weight loss
phase and into maintenance phase
Study Team
Katherine Newton, PhD Principal InvestigatorEvette Ludman, PhD Co-InvestigatorRob Reid, MD, PhD Co-Investigator David McCulloch, MD Co-InvestigatorGabrielle Gundersen Project Manager Amy Mohelnitzky, MEd InterventionistRob Wellman, MS BiostatisticianSharon Fuller ProgrammerJulie Reardon Research SpecialistAlison Thigpen MPH StudentMyrte Dikmans Master’s Student
Supplementary Slides
Correlation between encouragement and discouragement - friends
UC: r = -0.01 (CI= -0.44, 0.42)
IG: r = 0.34 (CI= -0.13, 0.67)
Change in discouragement score
UC
IG
chan
ge in
enc
oura
gem
ent
scor
e
change in discouragement score
24 Weeks
Participant Characteristics at BaselineSallis Eating Habits Social Support Scores, mean (SD) Usual Care Intervention
Encouragement
Family 12.1 (6.5) 12.1 (5.8)
Friends 8.6 (4.8) 6.7 (2.3)
Discouragement
Family 11.0 (4.8) 9.1 (4.2)
Friends 9.6 (4.0) 10.7 (4.7)
Participant Characteristics at BaselineSallis Social Support Scores, mean (95% CI) Usual Care Intervention p