A randomized comparison of two motivationally enhanced Internet behavioral weight loss programs

Webber, Kelly; Tate, Deborah F.; Bowling, J. Michael

doi:10.1016/j.brat.2008.06.008

Cited by 78 publications

(87 citation statements)

References 37 publications

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“…For instance, Internet-based studies often incorporate online journaling and online submission of diaries to manage weight, the frequency of which has been correlated with greater short-term weight loss. 26,27 Consistent with these findings, an online food and exercise journal is an important component for weight loss in both behavioral and commercial weight-loss programs delivered over the Internet. 28,29 An important feature of selfmonitoring appears to be e-mailing daily food intake and energy expenditure journals to a weight-loss counselor rather than private record-keeping.…”

Section: Self-monitoring and Technologysupporting

confidence: 64%

A Review of Efficacious Technology-Based Weight-Loss Interventions: Five Key Components

Khaylis

Yiaslas

Bergström

et al. 2010

Telemedicine and e-Health

220

200

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Objective: Obesity is highly prevalent among American adults and has negative health and psychosocial consequences. The purpose of this article was to qualitatively review studies that used technologybased interventions for weight loss and to identify specific components of these interventions that are effective in facilitating weight loss. Materials and Methods: We conducted a narrow, qualitative review, focusing on articles published in the last 10 years that used an experimental or pre/posttest design and used a technology-based intervention for weight loss. Results: Among the 21 studies reviewed, we identified the following five components that we consider to be crucial in technology-based weight-loss interventions that are successful in facilitating weight loss: self monitoring, counselor feedback and communication, social support, use of a structured program, and use of an individually tailored program. Conclusions: Short-term results of technologically driven weight-loss interventions using these components have been promising, but long-term results have been mixed. Although more longitudinal studies are needed for interventions implementing these five components, the interface of technology and behavior change is an effective foundation of a successful, short-term weight-loss program and may prove to be the basis of long-term weight loss.

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Section: Self-monitoring and Technologysupporting

confidence: 64%

A Review of Efficacious Technology-Based Weight-Loss Interventions: Five Key Components

Khaylis

Yiaslas

Bergström

et al. 2010

Telemedicine and e-Health

220

200

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“…The effect sizes did not differ significantly when studies with cluster randomized designs were included (d + = 1.98 and 0.40 for effects on progress monitoring and goal attainment, respectively) versus excluded (d + = 1.96 and 0.40, respectively), Q(1) = 0.33 and 0.02, p = 0.57 and 0.89. 6 The 20 studies used in the mediation analysis were Akers, Cornett, Savla, Davy, and Davy (2012), Boutelle, Kirschenbaum, Baker, and Mitchell (1999), Chambliss, Huber, Finlay, McDoniel, Kitzman-Ulrich, and Wilkinson (2011), Cussler et al (2008, Duran et al (2010), Gokee-La Rose, Gorin, andWing (2009), Hellerstedt andJeffrey (1997, behavior-focused phone group), Helsel et al (2007), Kempf, Tankova, and Martin (2013), ), Morgan et al (2009), Nguyen, Gill, Wolpin, Steele, and Benditt (2009), Pellegrini et al (2012), Runyan, Steenbergh, Bainbridge, Daugherty, Oke, and Fry (2013, Samuel-Hodge et al (2009), Tate et al (2001, Tan, Maganee, Chee, Lee, andTan (2011), Wang, Sereika, Chasens, Ewing, Matthews, andBurke (2012), Webber, Tate, and Bowling (2008), and Wing, Crane, Thomas, Kumar, and Weinberg (2010) if participants in the comparison condition were also asked to monitor their progress -a methodological feature that led to smaller effect sizes for progress monitoring. 7 For the purposes of this analysis we recomputed the effect size for goal attainment using only the measures for which the primary studies reported the correlation between the frequency of progress monitoring and goal attainment.…”

Section: Footnotesmentioning

confidence: 99%

Does monitoring goal progress promote goal attainment? A meta-analysis of the experimental evidence.

Harkin

Webb

Chang

et al. 2016

Psychological Bulletin

424

229

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Progress monitoring and goal attainment 2 AbstractControl Theory and other frameworks for understanding self-regulation suggest that monitoring goal progress is a crucial process that intervenes between setting and attaining a goal, and helps to ensure that goals are translated into action. However, the impact of progress monitoring interventions on rates of behavioral performance and goal attainment has yet to be quantified. A systematic literature search identified 138 studies (N = 19,951) that randomly allocated participants to an intervention designed to promote monitoring of goal progress versus a control condition. All studies reported the effects of the treatment on Moderation tests revealed that progress monitoring had larger effects on goal attainment when the outcomes were reported or made public, and when the information was physically recorded. Taken together, the findings suggest that monitoring goal progress is an effective self-regulation strategy, and that interventions that increase the frequency of progress monitoring are likely to promote behavior change. The present review investigates the impact of monitoring goal progress on rates of goal attainment. Goals are mental representations of desired outcomes (Austin & Vancouver, 1996) -such as to run a marathon or to be happy -and goal intentions are selfinstructions to act towards those outcomes (Sheeran & Webb, 2011;Triandis, 1980). Goal intentions capture both the nature of the set goal (e.g., the number of exercise sessions that one intends to engage in this week) and how committed one is to attaining it (e.g., the strength of one's intention to exercise five times this week). Intentions are the starting point for the willful control of action (Gollwitzer & Moskowitz, 1996). However, evidence indicates that intentions have only a modest impact on performance. A meta-analysis of 47 experimental studies found that a medium-to-large-sized change in intentions had a smallto-medium-sized effect on subsequent behavior (Webb & Sheeran, 2006). Evidence indicates that people who intend to exercise do not necessarily do so (Rhodes & de Bruijn, 2013), that most people want to be happier than they are (Oishi, Diener, & Lucas, 2007), and that it has become almost as traditional to fail to achieve New Year's resolutions as it is to form them in the first place (Marlatt & Kaplan, 1972;Norcross & Vangarelli, 1988). In short, forming a goal intention is not, on its own, sufficient to ensure goal attainment (for reviews, see Gollwitzer & Sheeran, 2006;Sheeran, Milne, Webb, & Gollwitzer, 2005;Sheeran & Webb, 2011;Webb, 2006). This 'gap' between intention and action (Sheeran, 2002) has led researchers to investigate which factors determine intention-behavior consistency. For instance, properties of intentions such as temporal stability (Cooke & Sheeran, 2004; Sheeran & Abraham, Progress monitoring and goal attainment 4 2003), the extent of actual control over performance (Sheeran, Trafimow, & Armitage, 2003), and the operation of habits (Neal, Wood, Wu...

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“…Two recent systematic reviews indicated that online social networks have been primarily used as an adjunct to in-person or web-based weight loss interventions, rather than as the primary treatment modality [18,19]. In previous studies, greater engagement in these online social networks predicted greater weight loss [20][21][22][23]. Thus, online social networks may represent an effective modality for delivering the entirety of an evidence-based weight loss program.…”

Section: Introductionmentioning

confidence: 99%

Interest in a Twitter-delivered weight loss program among women of childbearing age

Waring

Schneider

Appelhans

et al. 2015

Behav. Med. Pract. Policy Res.

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Weight management through the childbearing years is important, yet few women have access to efficacious weight loss programs. Online social network-delivered programs may increase reach and thus impact. The aim of this study was to gauge interest in a Twitter-based weight loss intervention among women of childbearing age and the feasibility of recruitment via Twitter. We recruited English-speaking women aged 18-45 years (N = 63) from Twitter to complete an anonymous online survey including open-ended questions about program advantages and concerns. Forty percent of participants were obese and 83 % were trying to lose weight. Eighty-one percent were interested in a Twitter-delivered weight loss program. Interest was high in all subgroups (62-100 %). Participants (59 %) cited program advantages, including convenience, support/accountability, and privacy. Concerns (59 %) included questions about privacy, support/accountability, engagement, efficacy, and technology barriers. Research is needed to develop and evaluate social media-delivered interventions, and to develop methods for recruiting participants directly from Twitter.

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A randomized comparison of two motivationally enhanced Internet behavioral weight loss programs

Cited by 78 publications

References 37 publications

A Review of Efficacious Technology-Based Weight-Loss Interventions: Five Key Components

A Review of Efficacious Technology-Based Weight-Loss Interventions: Five Key Components

Does monitoring goal progress promote goal attainment? A meta-analysis of the experimental evidence.

Interest in a Twitter-delivered weight loss program among women of childbearing age

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