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2007 Final Program - Society of Behavioral Medicine

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SOCIETY <strong>of</strong> BEHAVIORAL MEDICINE<br />

Rapid Communications Posters Friday, March 23, <strong>2007</strong> • 6:30 PM-8:00 PM • Poster Session C<br />

Poster Session C:<br />

Health Communication and Technology;<br />

Measurement and Methods; Population Health,<br />

Policy and Advocacy; Prevention;<br />

Psychological and Person Factors in<br />

Health and Behavior Change<br />

Exhibit Hall A & B<br />

3417<br />

FEASIBILITY OF ADMINISTERING A SELF-HELP SMOKING<br />

CESSATION INTERVENTION VIA CELLULAR TELEPHONE<br />

Bradford W. Applegate, PhD, 1 William T. Riley, PhD 2 and Anahi<br />

Collado-Rodriquez, BA 1<br />

1<br />

PICS, Inc., Reston, VA and 2 National Institute <strong>of</strong> Mental Health,<br />

Bethesda, MD.<br />

Most cigarette smokers attempt to quit smoking on their own.<br />

There is a need to develop and refine technology to assist tobacco<br />

users to quit using empirically supported self-help treatments. This<br />

study presents data from a study that examined the feasibility <strong>of</strong><br />

implementing a Scheduled Gradual Reduction (SGR) smoking<br />

cessation program on cellular handsets, using JAVA-based cellular<br />

telephones, SMS text messaging, and HTTP data transfer to a central<br />

server.<br />

Method: A SGR program was adapted from earlier work and<br />

implemented on JAVA-enabled cellular handsets. The program uses<br />

a 7-day baseline <strong>of</strong> cigarette recording to determine baseline smoking<br />

behavior, and then institutes the SGR program that prompts the<br />

user to smoke at increasing intervals. The program also used a secure<br />

HTTP data transfer system to upload data to a central server to<br />

monitor program usage. Thirty five tobacco users pilot tested the<br />

system in a single group, open-label study. Subjects were enrolled,<br />

provided with a JAVA-enabled cellular phone, instructed to use the<br />

program to quit smoking, and returned for follow-up at 8 weeks.<br />

Outcome variables included number <strong>of</strong> days interacting with the<br />

program, 7-day abstinence and smoking behavior, and qualitative<br />

ratings <strong>of</strong> the program. The sample was 53% male, 54% White, 43 ±<br />

11 years <strong>of</strong> age, and smoked 22 ± 11 cigarettes per day (CPD).<br />

Results: Mean daily interaction <strong>of</strong> the program was 30 ± 22 days.<br />

Sixteen <strong>of</strong> 35 subjects reported a 24-hour quit, and 6.3% reported 7-<br />

day abstinence (biochemically verified) at eight weeks. Mean smoking<br />

rates were reduced by 50% to 11 ± 8 CPD at follow up, P < .001.<br />

Qualitative reports from subjects showed mixed usability ratings,<br />

with most reporting the program was easy to use, but that it reduced<br />

tobacco use too rapidly.<br />

Conclusions: Data from this study indicate that cellular handsets are<br />

a feasible means <strong>of</strong> delivering inexpensive but empirically supported<br />

self-help smoking cessation treatments.<br />

CORRESPONDING AUTHOR: Bradford W. Applegate, PhD,<br />

PICS, Inc., Reston, VA, 20148; bapplegate@lifesign.com<br />

~ 102 ~<br />

3418<br />

INTERNET MAY POSE AN EFFECTIVE CHANNEL FOR<br />

THE DELIVERY OF SUPPORTIVE HEALTH PROMOTION<br />

INTERVENTIONS TO SOCIALLY ANXIOUS ADULTS<br />

Jeanne M. Gabriele, MS, MA, 1 Deborah F. Tate, PhD, 2 Brian D.<br />

Carpenter, PhD, 1 Megan E. Jablonski 2 and Edwin B. Fisher, PhD 2<br />

1<br />

Psychology, Washington University, Saint Louis, MO and 2 Health<br />

Behavior and Health Education, University <strong>of</strong> North Carolina,<br />

Chapel Hill, NC.<br />

Previous research has shown that social anxiety can be a barrier<br />

to help-seeking and the utilization <strong>of</strong> in-person treatment services<br />

(Goodwin and Fitzgibbon, 2002). The present study examined<br />

whether social anxiety moderates the effect <strong>of</strong> e-coach support on<br />

weight loss in a 12-week weight loss e-coaching program. Forty<br />

participants (87.5% female, 65.0% white) attended an in-person<br />

baseline assessment in which weight was measured. Social anxiety<br />

was measured with the Brief Fear <strong>of</strong> Negative Evaluation Scale.<br />

Participants were randomized to an e-coach support or no e-coach<br />

support condition. All participants received weekly weight loss lessons<br />

and feedback graphs via e-mail. Participants in the e-coach support<br />

condition also received weekly e-mails providing individualized<br />

assistance in reaching weight loss goals. At the end <strong>of</strong> the intervention,<br />

weight was measured in an in-person assessment. Participants with<br />

high fear <strong>of</strong> negative evaluation (FNE) reported less weight loss<br />

support from family members and friends than participants with<br />

low FNE (p < .05). This finding suggests that individuals with social<br />

anxiety may have difficulty obtaining and/or receiving weight loss<br />

support. A hierarchical regression found an interaction between<br />

FNE and e-coach support when predicting weight loss (p < .05).<br />

For participants in the e-coach support conditions, FNE was related<br />

to greater weight loss (r = -.46, p < .05). This suggests that e-coach<br />

supportive interventions may by especially helpful for those high in<br />

social anxiety who may not access or who may not respond well to<br />

conventional health promotion interventions. In contrast, FNE was<br />

unrelated to weight loss for participants in the no e-coach support<br />

condition. These findings suggest that individuals with social anxiety<br />

may be in greater need <strong>of</strong> weight loss support and respond favorably<br />

to e-coach support provided over the internet.<br />

CORRESPONDING AUTHOR: Jeanne M. Gabriele, MS, MA,<br />

Health Behavior and Health Education, University <strong>of</strong> North Carolina<br />

at Chapel Hill, Chapel Hill, NC, 27599-7440; Jgabriele@wustl.edu<br />

3419<br />

DEVELOPMENT OF THE COMMUNICATION CHANNEL<br />

PREFERENCE INVENTORY<br />

Jennifer Doucet, Master <strong>of</strong> Arts, 1 Marimer Santiago, BA 1 and<br />

Wayne Velicer, PhD 1<br />

1<br />

University <strong>of</strong> Rhode Island, Kingston, RI; 2 University <strong>of</strong> Rhode<br />

Island, Kingston, RI and 3 University <strong>of</strong> Rhode Island, Kingston, RI.<br />

Interventions for health promotion have employed a number <strong>of</strong><br />

communication modalities. One potential method <strong>of</strong> improving<br />

intervention effectiveness is to identify an individual’s preferred<br />

communication channel and match the intervention to the channel.<br />

The Learning Styles research area has identified a range <strong>of</strong> learner<br />

preferences for assimilating and accommodating information.<br />

However, the internet and other advanced technologies were<br />

not included in the original measures. The goal <strong>of</strong> this study was

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