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Ambulatory Computer-Assisted Therapy for Obesity. A New Frontier for Behavior Therapy

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Abstract

A behavioral treatment program for obesity was implemented using an interactive microcomputer system small enough to be carried by subjects throughout their normal daily routines. Treatment effects observed in 6 subjects who received this experimental treatment were compared with those observed in 6 matched control subjects who received a similar treatment program implemented without computer assistance. Mean weight loss after the 8 postbaseline study weeks was 8.1 lb (3.7 kg; SD = 2.7 lb or 1.2 kg) for the experimental subjects compared with 3.3 lb (1.5 kg; SD = 3.2 lb or 1.5 kg) for the control subjects. Mean weight loss at 8 months posttreatment was 17.7 lb (8.0 kg; SD = 13.8 lb or 6.3 kg) for the experimental subjects compared with 2.3 lb (1.0 kg; SD = 7.3 lb or 3.3 kg) for the control subjects. Ambulatory computer-assisted therapy provides important new opportunities for conducting behavior therapy and research in real-life settings.
Journal
of
Consulting
and
Clinical
Psychology
1985, Vol.
53, No. 5,
698-703
Copyright
1985
by the
American
Psychological
Association,
Inc.
0022-006X/85/$00.75
Ambulatory Computer-Assisted Therapy
for
Obesity:
A
New
Frontier
for
Behavior Therapy
Kent
F.
Burnett,
C.
Barr Taylor,
and W.
Stewart
Agras
Laboratory
for the
Study
of
Behavioral Medicine
Department
of
Psychiatry
and
Behavioral Sciences
Stanford
University School
of
Medicine
A
behavioral treatment program
for
obesity
was
implemented using
an
interactive
microcomputer system small enough
to be
carried
by
subjects throughout their
normal daily routines. Treatment
effects
observed
in 6
subjects
who
received this
experimental treatment were compared with those observed
in 6
matched control
subjects
who
received
a
similar treatment program implemented without computer
assistance. Mean weight loss
after
the 8
postbaseline study weeks
was
8.1
Ib
(3.7
kg;
SD = 2.7
Ib
or 1.2 kg) for the
experimental subjects compared
with
3.3
Ib
(1.5
kg;
SD
= 3.2
Ib
or
1.5
kg) for the
control subjects. Mean weight loss
at 8
months
posttreatment
was
17.7
Ib
(8.0
kg; SD =
13.8
Ib
or 6.3 kg) for the
experimental
subjects
compared with
2.3
Ib
(1.0
kg; SD = 7.3
Ib
or 3.3 kg) for the
control subjects.
Ambulatory
computer-assisted therapy provides important
new
opportunities
for
conducting behavior therapy
and
research
in
real-life
settings.
The
behavioral treatment
of
obesity relies
heavily
on
self-monitoring
to
provide feedback
concerning
behavior—feedback
that
is
often
delayed
until
the
next meeting with
the
ther-
apist,
whether individually,
or
more
usually,
in
a
group. Such delayed feedback,
as
well
as
therapeutic instructions
and
reinforcement,
is
by
no
means ideal.
The
impact
of
microcom-
puters
on
behavior therapy,
however,
has
sparked innovative trends
in
clinical practice
and
research (Russo,
1984),
and
recent tech-
nical
advances
in
portability
of
microcom-
puters
now
provide
new
pathways
for
fulfilling
the
potential
of
behavioral treatments based
on
self-monitoring.
The
development
of so-
phisticated, lightweight portable computers,
This
research
was
based
in
part
on a
doctoral dissertation
study
conducted
by the
senior author. Financial
support
for
this research
was
provided
by the
Laboratory
for the
Study
of
Behavioral Medicine
at
Stanford.
We
gratefully
acknowledge
the
scholarly counsel
pro-
vided
by
John
D.
Krumboltz
and
Helen
C.
Kraemer
on
many
important research issues involved
in
this study.
We
also
gratefully
acknowledge
the
important contribution
of
Robert
lafaldano
and
Kevin Casey
who
helped counsel
clients
and
Satish Herekar, William
G.
Haven,
and
Lyman
D.
Black
who
provided valuable
consultation
on
microcomputer design
and
implementation.
Requests
for
reprints should
be
sent
to C.
Barr
Taylor,
Laboratory
for the
Study
of
Behavioral Medicine,
De-
partment
of
Psychiatry
and
Behavioral Sciences, Stanford
University
School
of
Medicine,
Stanford,
California
94305.
which
can be
continually
and
easily carried
by
clients, permits implementation
of
procedures
for
more systematic collection
of
self-report
data
in the
natural environment
and
provision
to
clients
of
immediate
feedback,
instructions,
and
reinforcement based
on the
data.
In
the
present research,
a
portable micro-
computer system
was
developed
to
examine
the
feasibility
of
providing on-line behavioral
treatment
of
obesity, using some important
principles
of
behavior change such
as
response
cuing,
immediate feedback
on
goal attainment
level
for
target behaviors,
and
response-con-
tingent positive reinforcement
and
instructions
to
augment
the
effects
of
self-monitoring
of
weight-related
behavior.
The
importance
and
effectiveness
of
each
of
these
behavior-change
procedures
has
been well-established
in
labo-
ratory-based learning experiments
and in a
number
of
applied settings (Bandura, 1969).
However,
although continuous
attention
to
behavior
change
has
proved
feasible
within
in-
stitutional settings
or by
means
of
portable
biofeedback
devices, such continuous attention
to
behavior change
in
free-living
individuals
has
been clinically impractical
and
technolog-
ically
impossible
until
recently.
As
an
initial test
of the
feasibility
of
using
such
a
device,
a
small group
of
clients
was
ran-
domly
selected
to
receive
a
weight loss pro-
gram, either using
a
portable
microcomputer
698
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... The joint use of goal-setting and self-monitoring strategies has proved effective in supporting changes in the case of pro-environmental (e.g., Goldstein, Cialdini, & Griskevicius, 2008;Loukopoulos, Jakobsson, Gärling, Schneider, & Fujii, 2004) and eating behaviours (e.g., Burke, Wang, & Sevick, 2011;Burke et al., 2015;Locke & Latham, 2015;Rothman et al., 2006). The evidence of effectiveness of recourse to goal-setting and self-monitoring as a joint strategy to support the attitude-behaviour relationship has also been found in the specific domain of dietary studies (e.g., Burnett, Taylor, & Agras, 1985;Carfora, Caso, Palumbo, & Conner, 2018;Cullen et al., 2001;Donaldson & Normand, 2009). In particular, reminders about goal-setting and selfmonitoring have been shown to be an essential tool to sustain adherence to dietary change, in the case of the digital communication use (Schumer, Amadi, & Joshi, 2018) and attempts to reduce RPMC (Carfora, Caso, & Conner, 2017a;2017b). ...
... A third important factor that very likely contributed to the effectiveness of our intervention was the choice of sending messages every day together with a goal reminder about self-monitoring consumption and a request of compiling a food diary. Previous research carried out in different areas highlighted the opportunity to integrate persuasive messages with reminders related to the goal pursued and self-monitoring in the domain of dietary change (e.g., Burnett, et al., 1985;Carfora et al., 2018;Cullen et al., 2001;Donaldson & Normand, 2009). We contribute to this domain of studies showing that a procedure of this type is effective also in the case of a two-week messaging intervention to reduce RPMC. ...
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The current study tested the impact of different messaging interventions on changing attitude and behaviour in relation to Red and Processed Meat Consumption (RPMC). The study compared the effectiveness of receiving fourteen daily messages on the health, environment, or health + environment benefits of reduced RPMC, against a no message control condition. All three intervention conditions also received daily reminders of the goal regarding RPMC and were asked to record RPMC using a food diary. Participants in the control condition were only asked to use a food diary to record daily food intake. Behaviour and attitude in relation to RPMC of all participants were assessed at Time 1 (pre-message), Time 2 (immediately post-message, two weeks later) and Time 3 (one month later again). Participants were Italian undergraduates (at Time 1 N = 322) randomly allocated to one of the four conditions. Only those completing all measures at all time points were retained for analysis (N = 241). Results showed that health message condition and environment message condition, but not health + environment messages condition, were effective in increasing a positive attitude towards reduced RPMC compared to the control condition. Attitude mediated the effects of health condition and environmental condition on the reduction of behaviour. The effects of health and environment messages on attitude and behaviour persisted for one month after the end of the intervention. Implications for devising effective messaging intervention to change RPMC are discussed.
... The computer also has the potential to increase compliance with self-monitoring. Although two studies have examined the use of the palmtop computer in the treatment of obesity (Agras, Taylor, Feldman, Losch, & Burnett, 1990;Burnett, Taylor, & Agras, 1985) no study has examined the use of the palmtop computer as an adjunct to the treatment of panic disorder. ...
... Consistent with previous findings (e.g., Agras et al., 1990;Burnett, Taylor, & Agras, 1985), the computer therapy was acceptable to clients. Pretreatment ratings showed that clients found CBT4-CA to be as credible as CBT12. ...
... Early work began to explore the effect of EMIs prior to Heron and Smyth (2010). In a randomized clinical trial, Burnett et al. (1985) investigated the efficacy of ambulatory computerassisted therapy (the EMI) versus paper-and-pencil-assisted therapy for weight loss in 12 women with weight concerns. Both groups engaged in self-monitoring of caloric intake and physical activity, along with brief therapy sessions emphasizing goal setting and feedback. ...
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Objectives: Meditation-based interventions (MBIs) hold promise for enhancing health and well-being. However, substantial barriers impede engagement in traditional forms of these interventions. Innovations in mobile health offer an avenue for overcoming barriers associated with traditional MBIs. This paper examines the potential of a particular mobile health innovation – Ecological Momentary Interventions (EMIs) – as a strategy to enhance the accessibility, acceptability, and efficacy of MBIs. Methods: We discuss the historical context, conceptual foundations, motivation for adoption, and empirical evidence supporting the potential of EMIs. Additionally, we explore the conceptual intersections between EMIs and both traditional contemplative sources and contemporary secular MBIs. Furthermore, we describe empirical studies integrating EMIs into MBIs (i.e., meditation-based [MB]-EMIs). Results: Studies have demonstrated diverse approaches to integrating EMIs into MBIs. These studies exhibit variability in key dimensions, including the MBI with which the EMI is integrated and the characteristics of the EMI itself. MB-EMIs have therapeutic potential, but there are many important scientific questions about them that have not yet been answered. Discussion: Future studies should continue to examine the impact and safety of meditation-based EMIs, leverage innovations in passive data collection, explore user experiences, develop these interventions for and with marginalized populations, and emphasize informal meditation practice.
... The microcomputer was combined with weekly therapy appointments that helped participants set nutrition goals. Findings from this study showed that the microcomputer group outperformed the control group (who also met with a therapist and self-reported food consumption and exercise with a pen-and-paper method) on body weight and with respect to change in a composite score combining caloric intake and physical activity (33). ...
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Behavioral treatment of obesity has become a standard part of most treatment programs in the last 35 years. The goal of this approach is to help patients modify their eating habits, increase their physical activity, and become more conscious of both of these activities, thereby helping them make healthier choices.
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Behavior therapy for obesity: An evaluation of treatment outcome. Advances in Behavior Research and Therapy
  • G X Wilson
  • K D Brownell
Wilson, G. X, & Brownell, K. D. (1980). Behavior therapy for obesity: An evaluation of treatment outcome. Advances in Behavior Research and Therapy, 3, 49-86.