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Health Education Research Advance Access originally published online on December 14, 2004
Health Education Research 2005 20(4):439-447; doi:10.1093/her/cyg139
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Health Education Research Vol.20 no.4, © Oxford University Press 2004; All rights reserved

Innovative techniques to address retention in a behavioral weight-loss trial

Jennifer H. Goldberg1,2 and Michaela Kiernan1

1 Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA 94305-5705, USA

2 Correspondence to: J. H. Goldberg; E-mail: jennifer.goldberg{at}stanford.edu


    Abstract
 Top
 Abstract
 Introduction
 Method
 Results
 Discussion
 References
 
Given that retention rates for weight-loss trials have not significantly improved in the past 20 years, identifying effective techniques to enhance retention is critical. This paper describes a conceptual and practical advance that may have improved retention in a behavioral weight-loss trial—the novel application of motivational interviewing techniques to diffuse ambivalence during interactive group-based orientation sessions prior to randomization. These orientation sessions addressed ambivalence about making eating and exercise behavior changes, ambivalence about joining a randomized controlled trial, and unrealistic weight-loss expectations. During these sessions, overweight and obese men and women learned about the health benefits of modest weight loss as well as trial design, the importance of a control condition, random assignment and the impact of dropouts. Participants were then divided into groups of three or four, and asked to generate two pros and two cons of being assigned to a control condition and an active condition. Participants shared their pros and cons with the larger group, while the investigator asked open-ended questions, engaged in reflective listening and avoided taking a ‘pro-change’ position. Retention was high, with 96% of the participants (N = 162) completing 18-month clinic visits.


    Introduction
 Top
 Abstract
 Introduction
 Method
 Results
 Discussion
 References
 
Based on the 1999–2000 National Health and Nutrition Examination Survey, 64.5% of US adults are overweight or obese (Flegal et al., 2002Go). To validly test the efficacy of long-term obesity treatments, randomized controlled trials must have minimal participant dropout (Hansen et al., 1985Go; Ribisl et al., 1996Go; Ware, 2003Go). However, retention over time is challenging (Wilson and Brownell, 1980Go; Brownell and Wadden, 1992Go). Across behavioral weight-loss treatment studies, 32% of participants drop out (Davis and Addis, 1999Go). Given that retention rates for behavioral weight-loss trials have not significantly improved in the past 20 years (Wilson and Brownell, 1980Go; Brownell and Wadden, 1992Go), identifying novel techniques that improve participant retention is a critical priority (Jeffery et al., 2000Go).

Ambivalence, defined as ‘simultaneous and contradictory attitudes or feelings (as attraction and repulsion) toward an object, person, or action’ (Mish, 1990Go), is thought to undermine behavior change. Motivational interviewing is ‘a directive client-centered counseling style for eliciting behavior change by helping clients to explore and resolve ambivalence’ (Rollnick and Miller, 1995Go). One motivational interviewing technique is to build upon a decisional balance exercise (Janis and Mann, 1977Go; Prochaska and DiClemente, 1983Go; Miller and Rollnick, 1991Go; Prochaska et al., 1992Go, 1994Go; Miller and Rollnick, 2002Go) by making any existing ambivalence explicit, and normalizing it using open-ended questions and reflective listening to acknowledge that the pros and cons exist simultaneously and may be contradictory (Miller and Rollnick, 1991Go). This is especially effective when the counselor avoids taking or defending the ‘pro-change’ position (e.g. reinforcing pros and problem-solving cons with participants) and, thus, avoids provoking participants to take on the ‘status quo’ position [(Miller and Rollnick, 1991Go), p. 47]. Recently, motivational interviewing techniques have been used to diffuse ambivalence and increase motivation during the intervention phase of weight-loss, diet and physical activity trials (Smith et al., 1997Go; Resnicow et al., 2002Go).

In this paper, we speculated that these techniques could be applied to diffuse ambivalence prior to trial randomization to improve retention. Participants may be ambivalent about being in a randomized weight-loss trial (Burke et al., 2003Go). Participants may see the benefits of joining a trial, such as free treatment and additional support, while at the same time perceive limitations, such as being randomly assigned to a control condition. Participants may even plan to drop out of the trial if they are assigned to the control condition. In one recent behavioral weight-loss trial, a higher percentage of the control condition (41%) did not complete follow-up clinic visits compared to the two active conditions (14 and 23%) (Ciliska, 1998Go). In addition, participants may be ambivalent about whether they really want to change their eating and activity, resent or resist being told to make these behavioral changes, and drop out (Windhauser et al., 1999Go; Sparks et al., 2001Go; Shepherd, 2002Go). For example, participants in a controlled feeding study reported that ‘not having to shop for and cook food’ aided their compliance while at the same time the ‘lack of freedom to choose what/when to eat’ challenged their compliance (Windhauser et al., 1999Go). Finally, participants may experience ambivalence because of a contradiction between their initial (and unrealistic) expectations that they will lose a lot of weight and their dissatisfaction with the amount of weight they are actually losing (Bennett, 1986Go; Foster et al., 1997Go; Jeffrey et al., 1998Go; King et al., 2002Go; Wadden et al., 2003Go), prompting participants to drop out of active condition classes or not return for follow-up clinic visits.

This paper describes a conceptual and practical advance that we speculate may have contributed to high retention rates in a recently completed randomized behavioral weight-loss trial—the novel application of motivational interviewing techniques to diffuse ambivalence during orientation sessions prior to randomization. In interactive small group orientation sessions, we addressed ambivalence about joining a randomized controlled trial, ambivalence about making eating and activity behavior changes, and unrealistic weight-loss expectations. We explain how the orientation sessions were conducted, present a content analysis of participants' responses during the sessions and report the trial retention rates. Given the current obesity epidemic, the crucial importance of retention in weight-loss research and the lack of even descriptive research on retention techniques in the weight-loss field, we believe that this descriptive paper will be of value for guiding practice and provoking further research on effective retention strategies.


    Method
 Top
 Abstract
 Introduction
 Method
 Results
 Discussion
 References
 
Overall design of original randomized trial
The Stanford Healthy Weight Project is a randomized weight-loss efficacy trial that recruited overweight and obese adults (ages 25–80 years; BMI 27–37 kg/m2) in a major metropolitan area who wanted to lose a modest amount of weight (10–15 pounds). Eligibility characteristics were similar to other behavioral weight-loss studies (Davis and Addis, 1999Go) and are summarized in Table I (Beck et al., 1961Go; Block et al., 1986Go; Pate et al., 1995Go; Stice et al., 2000Go).


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Table I. Eligibility criteria at screening timepoints

 
Participants were randomly assigned to one of three study conditions: a control condition or one of two active behavioral weight-loss conditions. The control condition was allowed to enroll in any behavioral treatment programs (e.g. Weight Watchers) available in the community that did not include medication or very-low calorie diets. Both active conditions attended 14 weight-loss classes for the first 6 months of the trial without continued contact after classes ended. All three conditions were asked to attend four clinic visits, one every 6 months for 18 months. Participants were recruited in three cohorts via local radio stations, and articles in local community, regional and university-based newspapers (Kiernan et al., 2001Go).

Current descriptive study
The current descriptive study is based on orientation session data from Cohort 1 of the trial; however, trial protocols were similar for all three cohorts. To examine replicability, retention rates across all three cohorts are presented.

Participants
Of the 72 potential participants who attended an orientation session in Cohort 1, 51 participants (71%) were randomized to the trial. Of the 21 participants not randomized, 14 did not schedule or attend a baseline clinic visit and seven attended the baseline clinic visit, but were not randomized due to schedule conflicts and/or uncontrolled high blood pressure. There were no clinically significant differences in initial characteristics between participants who were and were not randomized (Table II).


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Table II. Means, SDs and percentages for demographic characteristics of participants

 
Orientation sessions
Individuals who were eligible to participate after a phone and mail screening were invited to attend an interactive group-based orientation session prior to the baseline clinic visit and randomization. Led by the trial principal investigator (M. K.), these 1-hour sessions combined motivational interviewing techniques (Miller and Rollnick, 1991Go, 2002Go) with active learning principles (Meyers and Jones, 1993Go) to explicitly address the demands of joining a randomized controlled trial, making eating and activity changes, and weight-loss expectations.

In the didactic portion of the session which included a handout of the session's key points, potential participants first heard an explanation about cardiovascular health benefits of losing a modest amount of weight (10–15 pounds) at a slow rate of loss (Goldstein, 1992Go; National Institues of Health/National Heart Lung and Blood Institute, 1998Go; Tate et al., 2001Go; Knowler et al., 2002Go) and were explicitly told that this trial would not be a good match for people seeking to quickly lose a lot of weight. Participants then heard about the importance of this trial and the specific commitments required (e.g. study conditions, clinic visits, classes). Participants were told that if they were assigned to the active condition classes they would be asked to complete homework, and make eating and activity changes. Participants were given a schedule with the dates for clinic visits and active condition classes, asked not to enroll if they knew in advance they would miss two or more classes, and asked to commit to attending a makeup class for any missed classes.

To promote commitment to the scientific portion of the trial, participants then learned about the importance of a control condition, random assignment and attrition bias. For instance, participants reviewed graphs illustrating how trial results would be biased toward success if unsuccessful participants did not return to subsequent clinic visits. Participants were asked to think of reasons why the next 18 months might not be a good time for trial participation (e.g. planning a daughter's wedding) and whether they would return to clinic visits if they gained 15 pounds’.

Participants in each orientation session were then divided into small groups of three or four, and asked to generate two pros and two cons of being assigned to the control condition and to the active conditions. The principal investigator left the room during the small group discussions, and then reassembled the small groups to share their pros and cons with the whole group. In this discussion, the investigator did not follow a typical health education approach (i.e. emphasizing the pros and encouraging participants to problem solve the cons). Rather, consistent with motivational interviewing principles (Miller and Rollnick, 1991Go, 2002Go), the principal investigator asked open-ended questions and engaged in reflective listening. The investigator gave equal weight and consideration to all responses, avoided the ‘pro-change’ position (Miller and Rollnick, 1991Go, 2002Go), ensured that each small group shared at least one response, and wrote all responses in a 2 x 2 grid on a white board. The pros and cons discussion began with a focus on the cons of the control condition (i.e. the most salient reasons not to participate). The pros of the control condition were discussed next, followed by the pros of the active conditions. The discussion purposely ended with the cons of the active conditions. This section concluded with the statement that the investigator was attempting the ‘opposite of a hard sell’. The investigator encouraged participants to consider all pros and cons and to recognize that they would be making two commitments—one to themselves (i.e. time, behavior change) and one to ensure the trial's scientific quality (i.e. returning to all clinic visits).

Additional retention techniques
Additional retention techniques advocated by other epidemiological research studies and clinical trials were integrated throughout the trial's recruitment and retention phases (Table III) (Bindman et al., 1993Go; Ribisl et al., 1996Go; Senturia et al., 1998Go; Kiernan et al., 2000Go; Janson et al., 2001Go; Prinz et al., 2001Go).


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Table III. Additional retention enhancement techniques

 

    Results
 Top
 Abstract
 Introduction
 Method
 Results
 Discussion
 References
 
Orientation session results
The 72 potential participants attended one of seven orientation sessions before randomization. Because participants generated responses in small groups and shared them with the larger group, we analyzed the 130 responses by orientation session rather than by individual. A similar number of responses (M = 18.6) was generated across all orientation sessions [{chi}2 (6, N = 130) = 1.49; P = 0.96)]. The number of responses was equally distributed across the 2 x 2 grid (pros/cons and active conditions/control condition) [{chi}2 (3, N = 130) = 1.26; P = 0.74)].

In a content analysis (Patton, 1980Go), two raters independently sorted the 130 pro/con responses into thematic categories. There was high inter-rater agreement (interclass correlation {alpha} = 0.99). Table IV presents the number and percentage of orientation sessions in which categories were generated. The thematic categories are presented in a 2 x 2 grid, i.e. by pros/cons and by type of study condition (active conditions/control condition).


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Table IV. Number and percent of orientation sessions in which responses were generated by pros/cons and type of study condition (active condition/control condition)a

 
Many thematic categories focused on losing weight, making behavioral changes, structure/discipline, time commitment, social support and learning. Some reasons for joining a randomized controlled trial discussed in previous studies, e.g. helping the trial or science (Mattson et al., 1985Go), were mentioned infrequently. Participants' responses fell into distinct (and many) thematic categories in each of the seven orientation sessions rather than into the same (and few) thematic categories in each of the seven sessions.

To determine whether participants expressed ambivalence about joining a randomized trial, ambivalence about making behavior changes and unrealistic weight-loss expectations, we examined three sets of comparisons. First, in perhaps the most interesting demonstration of ambivalence, participants generated the same response both as a pro and a con for the same type of study condition. For instance, illustrating participants' ambivalence about joining a randomized trial, the same response was generated both as a con (‘structured/inflexible’) and a pro (‘structure/discipline’) of being assigned to the active conditions. Second, as would be expected in a pro/con activity, participants also generated opposite responses for different types of study conditions. For instance, regarding their ambivalence about making behavior changes, the response (‘have to make behavioral changes/do uncomfortable things/hard to change’) was generated as a con of being assigned to the active condition, whereas the opposite response (‘eat or do what you want’) was generated as a pro of being assigned to the control condition. Thus, participants may have a preference for one condition even though they would have to agree to random assignment and the possibility of being assigned to their non-preferred condition. Third, participants also generated the same response for different types of study conditions. Illustrating participants' realization that weight-loss expectations may not be fulfilled (and in fact may not lose any weight in this trial), the response (‘may not lose weight/may not be successful’) was a frequently mentioned con not only of being assigned to the control condition, but also of being assigned to the active conditions.

Retention results
Of the 51 participants randomized to the trial in Cohort 1, 50 (98%) completed the 6-month clinic visit, 48 (94%) completed the 12-month clinic visit and 48 (94%) completed the 18-month clinic visit. Overall, of the 162 participants randomized across all three cohorts, 159 (98%) completed the 6-month clinic visit, 157 (97%) completed the 12-month clinic visit and 156 (96%) completed the 18-month clinic visit, with no differential dropout by study condition.


    Discussion
 Top
 Abstract
 Introduction
 Method
 Results
 Discussion
 References
 
Although orientation sessions are often used to recruit participants into randomized trials, this study describes a conceptual and practical advance that we speculate may enhance retention in a behavioral weight-loss trial—the novel application of motivational interviewing techniques to diffuse ambivalence during interactive group-based orientation sessions prior to randomization.

Retention in this trial was very high—96% at 18 months. In recent similar behavioral weight-loss trials, between 13 and 41% of participants dropped out by post-treatment follow-up (Perri et al., 1997Go; Jeffery and French, 1999Go; Sbrocco et al., 1999Go; Tate et al., 2001Go, 2003Go; Foster et al., 2003Go; Heshka et al., 2003Go). However, direct comparisons are difficult given that eligibility criteria, number of classes, follow-up length and other requirements vary widely across trials. For instance, although a few recent trials have also had little dropout (3–9%), the trials had weekly contact with participants throughout the trial and/or the trials were shorter in total duration (6–12 months total) (Blumenthal et al., 2000Go; Stevens et al., 2001Go; Irwin et al., 2003Go; Jakicic et al., 2003Go). In contrast, our 1-year follow-up after the 6-month classes ended did not include continued contact and the trial was longer in total duration.

Using motivational interviewing techniques in an open-ended and reflective manner to involve participants in a discussion of the study design, scientific rationale and trial's pros/cons may have potentially increased motivation, decreased potential for disappointment, empowered participants to make changes, fostered participant ‘buy-in’ and, thus, encouraged high retention at follow-up (Miller and Rollnick, 1991Go, 2002Go). Consistent with active learning principles, participants heard a variety of pros and cons, which may have carried more weight because responses were generated by fellow participants rather than by the investigator (Meyers and Jones, 1993Go).

These descriptive results are only suggestive, in part because the application of motivational interviewing principles in interactive group-based orientation sessions was supplemented with other recommended retention techniques (King et al., 1991Go; Bindman et al., 1993Go; Ribisl et al., 1996Go; Senturia et al., 1998Go; Kiernan et al., 2000Go; Janson et al., 2001Go; Prinz et al., 2001Go). Most critically, to definitively assess the impact of these orientation sessions, this retention technique itself would need to be tested using a randomized design. Future research is also needed to systematically determine the impact of these sessions on participant trust and satisfaction as well as the replicability across participant subgroups (i.e. by education, gender, age or ethnicity), session facilitators and types of behavioral interventions.

Whereas low retention rates can undermine the findings of randomized trials by threatening internal validity, there are limitations to using motivational interviewing techniques to improve retention. Like multiple eligibility criteria, rigorous screening procedures and burdensome trial requirements, these techniques may discourage unmotivated participants from entering a trial and compromise generalizability (Wilson and Brownell, 1980Go). However, bias in participant selection may be an acceptable cost for efficacy trials seeking to maximize retention.

Past research on retention in behavioral weight-loss studies has primarily focused on participant characteristics between dropouts and completers (Hjoerdis and Gunnar, 1989Go; Clark et al., 1996Go; Davis and Addis, 1999Go). Research on techniques to actually improve retention is rare. We hope this descriptive paper will provoke further experimental research about optimal retention strategies.


    Acknowledgments
 
We gratefully acknowledge the individuals who participated in the Stanford Healthy Weight Project. We also thank Laurie Ausserer, Katie DaBell, Lauren Durkin, Susan Kirkpatrick, Rebecca Lee, Gabe Meeker, Suzanne Olson and Peggy Raymond for their valued contributions to this study. This research was supported by an NIH/NHLBI FIRST Award (R29 HL60154) awarded to M. K., an unrestricted research gift from Nutrilite Health Institute and an NIH/NHLBI Training Grant (5T32 HL07034). Portions of this paper were presented at the Society of Behavioral Medicine's 24th Annual Meeting and Scientific Sessions, Salt Lake City, UT.


    References
 Top
 Abstract
 Introduction
 Method
 Results
 Discussion
 References
 
Beck, A.T., Ward, C.H., Mendelson, M., Mock, J. and Erbaugh, J. (1961) An inventory for measuring depression. Archives of General Psychiatry, 4, 561–571.[ISI][Medline]

Bennett, G.A. (1986) Expectations in the treatment of obesity. British Journal of Clinical Psychology, 25, 311–312.

Bindman, A.B., Grumbach, K., Keane, D. and Lurie, N. (1993) Collecting data to evaluate the effect of health policies on vulnerable populations. Family Medicine, 25, 114–119.[Medline]

Block, G., Hartman, A.M., Dresser, C.M., Carroll, M.D., Gannon, J. and Gardner, L. (1986) A data-based approach to diet questionnaire design and testing. American Journal of Epidemiology, 124, 453–469.[Abstract/Free Full Text]

Blumenthal, J.A., Sherwood, A., Gullette, E.C., Babyak, M., Waugh, R., Georgiades, A., Craighead, L.W., Tweedy, D., Feinglos, M., Appelbaum, M., Hayano, J. and Hinderliter, A. (2000) Exercise and weight loss reduce blood pressure in men and women with mild hypertension: effects on cardiovascular, metabolic and hemodynamic functioning. Archives of Internal Medicine, 160, 1947–1958.[Abstract/Free Full Text]

Brownell, K.D. and Wadden, T.A. (1992) Etiology and treatment of obesity: understanding a serious, prevalent and refractory disorder. Journal of Consulting and Clinical Psychology, 60, 505–517.[CrossRef][ISI][Medline]

Burke, L.E., Cartwright, M., Music, E., Kim, Y., Tschirpke, D., Polakoski, T. and Klem, M.L. (2003) Weight loss programs: is there a mismatch between treatment preferred and treatment sought? Annals of Behavioral Medicine, 25(Suppl.), S021.

Ciliska, D. (1998) Evaluation of two nondieting interventions for obese women. Western Journal of Nursing Research, 20, 119–135.[Abstract/Free Full Text]

Clark, M.M., Niaura, R., King, T.K. and Pera, V. (1996) Depression, smoking, activity level and health status: Pretreatment predictors of attrition in obesity treatment. Addictive Behavior, 21, 509–513.[CrossRef][ISI][Medline]

Davis, M.J. and Addis, M.E. (1999) Predictors of attrition from behavioral medicine treatments. Annals of Behavioral Medicine, 21, 339–349.[ISI][Medline]

Flegal, K.M., Carroll, M.D., Ogden, C.L. and Johnson, C.L. (2002) Prevalence and trends in obesity among US adults, 1999–2000. Journal of the American Medical Association, 288, 1723–1727.[Abstract/Free Full Text]

Foster, G.D., Wadden, T.A., Vogt, R.A. and Brewer, G. (1997) What is a reasonable weight loss? Patients' expectations and evaluations of obesity treatment outcomes. Journal of Consulting and Clinical Psychology, 65, 79–85.[CrossRef][ISI][Medline]

Foster, G.D., Wyatt, H.R., Hill, J.O., McGuckin, B.G., Brill, C., Mohammed, B.S., Szapary, P.O., Rader, D.J., Edman, J.S. and Klein, S. (2003) A randomized trial of a low-carbohydrate diet for obesity. New England Journal of Medicine, 348, 2082–2090.[Abstract/Free Full Text]

Goldstein, D.J. (1992) Beneficial health effects of modest weight loss. International Journal of Obesity and Related Metabolic Disorders, 16, 397–415.

Hansen, W.B., Collins, L.M., Malotte, C.K., Johnson, C.A. and Fielding, J.E. (1985) Attrition in prevention research. Journal of Behavioral Medicine, 8, 261–275.[CrossRef][ISI][Medline]

Heshka, S., Anderson, J.W., Atkinson, R.L., Greenway, F.L., Hill, J.O., Phinney, S.D., Kolotkin, R.L., Miller-Kovach, K. and Pi-Sunyer, F.X. (2003) Weight loss with self-help compared with a structured commercial program: a randomized trial. Journal of the American Medical Association, 289, 1792–1798.[Abstract/Free Full Text]

Hjoerdis, B. and Gunnar, E. (1989) Characteristics of drop-outs from a long-term behavioral treatment program for obesity. International Journal of Eating Disorders, 8, 363–368.

Irwin, M.L., Yasui, Y., Ulrich, C.M., Bowen, D., Rudolph, R.E., Schwartz, R.S., Yukawa, M., Aiello, E., Potter, J.D. and McTiernan, A. (2003) Effect of exercise on total and intra-abdominal body fat in postmenopausal women: a randomized controlled trial. Journal of the American Medical Association, 289, 323–330.[Abstract/Free Full Text]

Jakicic, J.M., Marcus, B.H., Gallagher, K.I., Napolitano, M. and Lang, W. (2003) Effect of exercise duration and intensity on weight loss in overweight, sedentary women: a randomized trial. Journal of the American Medical Association, 290, 1323–1330.[Abstract/Free Full Text]

Janis, I.L. and Mann, L. (1977) Decision Making: A Psychological Analysis of Conflict, Choice and Commitment. Free Press, New York, NY.

Janson, S.L., Alioto, M.E. and Boushey, H.A. (2001) Attrition and retention of ethnically diverse subjects in a multicenter randomized controlled research trial. Controlled Clinical Trials, 22(6 Suppl.), 236S–243S.[CrossRef][ISI][Medline]

Jeffery, R.W., Epstein, L.H., Wilson, G.T., Drewnowski, A., Stunkard, A.J. and Wing, R.R. (2000) Long-term maintenance of weight loss: current status. Health Psychology, 19(Suppl. 1), 5–16.[CrossRef][ISI][Medline]

Jeffery, R.W. and French, S.A. (1999) Preventing weight gain in adults: the Pound of Prevention study. American Journal of Public Health, 89, 747–751.[Abstract/Free Full Text]

Jeffrey, R.W., Wing, R.R. and Mayer, R.R. (1998) Are smaller weight losses or more achievable weight loss goals better in the long term for obese patients? Journal of Consulting and Clinical Psychology, 66, 641–645.[CrossRef][ISI][Medline]

Kiernan, M., Phillips, K., Fair, J.M. and King, A.C. (2000) Using direct mail to recruit Hispanic adults into a dietary intervention: an experimental study. Annals of Behavioral Medicine, 22, 89–93.[ISI][Medline]

Kiernan, M., Raymond, M., Goldberg, J.H., DaBell, K., Meeker, G. and Kirpkatrick, S. (2001) A physician-hosted radio talk show versus traditional recruitment methods. Annals of Behavioral Medicine, 23(Suppl.), S020.

King, A.C., Haskell, W.L., Taylor, C.B., Kraemer, H.C. and DeBusk, R.F. (1991) Group- vs home-based exercise training in healthy older men and women. A community-based clinical trial. Journal of the American Medical Association, 266, 1535–1542.[Abstract]

King, C.M., Rothman, A.J. and Jeffery, R.W. (2002) The Challenge study: theory-based interventions for smoking and weight loss. Health Education Research, 17, 522–530.[Abstract/Free Full Text]

Knowler, W.C., Barrett-Connor, E., Fowler, S.E., Hamman, R.F., Lachin, J.M., Walker, E.A. and Nathan, D.M. (2002) Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. New England Journal of Medicine, 346, 393–403.[Abstract/Free Full Text]

Mattson, M.E., Curb, J.D. and McArdle, R. (1985) Participation in a clinical trial: the patients' point of view. Controlled Clinical Trials, 6, 156–167.[CrossRef][ISI][Medline]

Meyers, C. and Jones, T.B. (1993) Promoting Active Learning: Strategies for the College Classroom. Jossey-Bass, San Francisco, CA.

Miller, W.R. and Rollnick, S. (1991) Motivational Interviewing: Preparing People to Change Addictive Behavior. Guilford Press, New York.

Miller, W.R. and Rollnick, S. (2002) Motivational Interviewing: Preparing People for Change. Guilford Press, New York.

Mish, F.C. (ed.) (1990) Webster's Ninth New Collegiate Dictionary. Merriam-Webster, Springfield, MA.

National Institutes of Health/National Heart Lung and Blood Institute (1998) Clinical guidelines on the identification, evaluation and treatment of overweight and obesity in adults—the evidence report. Obesity Research, 6(Suppl. 2), 51S–209S.[ISI][Medline]

Pate, R.R., Pratt, M., Blair, S.N., Haskell, W.L., Macera, C.A., Bouchard, C., Buchner, D., Ettinger, W., Heath, G.W., King, A.C., Kriska, A., Leon, A.S., Marcus, B.H., Morris, J., Paffenbarger, R.S., Patrick, K., Pollock, M.L., Rippe, J.M., Sallis, J. and Wilmore, J.H. (1995) Physical activity and public health. A recommendation from the Centers for Disease Control and Prevention and the American College of Sports Medicine. Journal of the American Medical Association, 273, 402–407.[Abstract]

Patton, M.Q. (1980) Qualitative Evaluation Methods. Sage, Beverly Hills, CA.

Perri, M.G., Martin, A.D., Leermakers, E.A., Sears, S.F. and Notelovitz, M. (1997) Effects of group- versus home-based exercise in the treatment of obesity, Journal of Consulting and Clinical Psychology, 65, 278–285.[CrossRef][ISI][Medline]

Prinz, R.J., Smith, E.P., Dumas, J.E., Laughlin, J.E., White, D.W. and Barron, R. (2001) Recruitment and retention of participants in prevention trials involving family-based interventions. American Journal of Preventative Medicine, 20(Suppl. 1), 31–37.

Prochaska, J.O. and DiClemente, C.C. (1983) Stages and processes of self-change of smoking: toward an integrative model of change. Journal of Consulting and Clinical Psychology, 51, 390–395.[CrossRef][ISI][Medline]

Prochaska, J.O., DiClemente, C.C. and Norcross, J.C. (1992) In search of how people change. Applications to addictive behaviors. American Psychologist, 47, 1102–1114.[CrossRef][Medline]

Prochaska, J.O., Velicier, W.F., Rossi, J.S. and Goldstein, M.G. (1994) Stages of change and decisional balance for 12 problem behaviors. Health Psychology, 13, 39–46.[CrossRef][ISI][Medline]

Resnicow, K., DiIorio, C., Soet, J.E., Ernst, D., Borrelli, B. and Hecht, J. (2002) Motivational interviewing in health promotion: it sounds like something is changing. Health Psychology, 21, 444–451.[CrossRef][ISI][Medline]

Ribisl, K.M., Walton, M.A., Mowbray, C.T., Luke, D.A. and BootsMiller, B.J. (1996) Minimizing participant attrition in panel studies through the use of effective retention and tracking strategies: review and recommendations. Evaluation and Program Planning, 19, 1–25.

Rollnick, S. and Miller, W.R. (1995) What is motivational interviewing? Behavioural and Cognitive Psychotherapy, 23, 325–334.

Sbrocco, T., Nedegaard, R.C., Stone, J.M. and Lewis, E.L. (1999) Behavioral choice treatment promotes continuing weight loss: preliminary results of a cognitive-behavioral decision-based treatment for obesity. Journal of Consulting and Clinical Psychology, 67, 260–266.[CrossRef][ISI][Medline]

Senturia, Y.D., McNiff Mortimer, K., Baker, D., Gergen, P., Mitchell, H., Joseph, C. and Wedner, H.J. (1998) Successful techniques for retention of study participants in an inner-city population. Controlled Clinical Trials, 19, 544–554.[CrossRef][ISI][Medline]

Shepherd, R. (2002) Resistance to changes in diet. Proceedings of the Nutrition Society, 61, 267–272.[CrossRef][ISI][Medline]

Slack, M.K. and Draugalis, J.R. (2001) Establishing the internal and external validity of experimental studies. American Journal of Health-System Pharmacy, 58, 2173–2181; quiz 2182–2173.

Smith, D.E., Heckemeyer, C.M., Kratt, P.P. and Mason, D.A. (1997) Motivational interviewing to improve adherence to a behavioral weight-control program for older obese women with NIDDM. A pilot study. Diabetes Care, 20, 52–54.[Abstract]

Sparks, P., Conner, M., James, R., Shepherd, R. and Povey, R. (2001) Ambivalence about health-related behaviours: an exploration in the domain of food choice. British Journal of Health Psychology, 6, 53–68.[CrossRef][ISI][Medline]

Stevens, V.J., Obarzanek, E., Cook, N.R., Lee, I.M., Appel, L.J., Smith West, D., Milas, N.C., Mattfeldt-Beman, M., Belden, L., Bragg, C., Millstone, M., Raczynski, J., Brewer, A., Singh, B. and Cohen, J. (2001) Long-term weight loss and changes in blood pressure: results of the Trials of Hypertension Prevention, phase II. Annals of Internal Medicine, 134, 1–11.[Abstract/Free Full Text]

Stice, E., Telch, C.F. and Rizvi, S.L. (2000) Development and validation of the Eating Disorder Diagnostic Scale: a brief self-report measure of anorexia, bulimia and binge-eating disorder. Psychological Assessment, 12, 123–131.[CrossRef][ISI][Medline]

Tate, D.F., Wing, R.R. and Winett, R.A. (2001) Using Internet technology to deliver a behavioral weight loss program. Journal of the American Medical Association, 285, 1172–1177.[Abstract/Free Full Text]

Tate, D.F., Jackvony, E.H. and Wing, R.R. (2003) Effects of Internet behavioral counseling on weight loss in adults at risk for type 2 diabetes: a randomized trial. Journal of the American Medical Association, 289, 1833–1836.[Abstract/Free Full Text]

Wadden, T.A., Brownell, K.D. and Foster, G.D. (2002) Obesity: responding to the global epidemic. Journal of Consulting and Clinical Psychology, 70, 510–525.[CrossRef][ISI][Medline]

Wadden, T.A., Womble, L.G., Sarwer, D.B., Berkowitz, R.I., Clark, V.L. and Foster, G.D. (2003) Great expectations: ‘I’m losing 25% of my weight no matter what you say'. Journal of Consulting and Clinical Psychology, 71, 1084–1089.[CrossRef][ISI][Medline]

Ware, J.H. (2003) Interpreting incomplete data in studies of diet and weight loss. New England Journal of Medicine, 348, 2136–2137.[Free Full Text]

Wilson, G.T. and Brownell, K.D. (1980) Behavior therapy for obesity: an evaluation of treatment outcome. Advances in Behavior Research and Therapy, 3, 49–86.

Windhauser, M.M., Ernst, D.B., Karanja, N.M., Crawford, S.W., Redican, S.E., Swain, J.F., Karimbakas, J.M., Champagne, C.M., Hoben, K.P. and Evans, M.A. (1999) Translating the Dietary Approaches to Stop Hypertension diet from research to practice: dietary and behavior change techniques. DASH Collaborative Research Group. Journal of the American Dietetic Association, 99(8 Suppl.), S90–S95.[CrossRef][ISI][Medline]

Received on February 3, 2004; accepted on October 18, 2004


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