Motivation and Its Relationship to Adherence to Self-monitoring and Weight Loss in a 16-week Internet Behavioral Weight Loss Intervention

Webber, Kelly; Tate, Deborah F.; Ward, Dianne S.; Bowling, J. Michael

doi:10.1016/j.jneb.2009.03.001

Cited by 119 publications

(149 citation statements)

References 30 publications

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“…16–18 22 25 29 Overweight or obesity were inclusion criteria in 13 studies 13 14 17 20 21 23 26–28 31–34. Six studies targeted women exclusively16 18 28 29 33 34 while only one solely targeted men 27…”

Section: Resultsmentioning

confidence: 99%

“…Examples of alternate interventions included access to a non-interactive, information-based website, in-person instruction from a therapist or research assistant or a paper-based manual. Six studies employed social media in the control intervention groups, augmented with additional support or therapy in the intervention group 13 15 18 21 26 32 33. These studies were not included in the statistical comparisons but were used to answer the first research question of how social media is being used.…”

Section: Resultsmentioning

confidence: 99%

“…The majority of participants in 12 studies had some form of postsecondary education 15–18 21 23 26 29–33. Greater than 70% of participants were Caucasian in 11 studies 13 15 16 18 21 24 26 28 29 31 33…”

Section: Resultsmentioning

confidence: 99%

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Social media interventions for diet and exercise behaviours: a systematic review and meta-analysis of randomised controlled trials

et al. 2014

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ObjectivesTo conduct a systematic review of randomised controlled trials (RCTs) examining the use of social media to promote healthy diet and exercise in the general population.Data sourcesMEDLINE, CENTRAL, ERIC, PubMed, CINAHL, Academic Search Complete, Alt Health Watch, Health Source, Communication and Mass Media Complete, Web of Knowledge and ProQuest Dissertation and Thesis (2000–2013).Study eligibility criteriaRCTs of social media interventions promoting healthy diet and exercise behaviours in the general population were eligible. Interventions using social media, alone or as part of a complex intervention, were included.Study appraisal and synthesisStudy quality was assessed using the Cochrane Risk of Bias Tool. We describe the studies according to the target populations, objectives and nature of interventions, outcomes examined, and results and conclusions. We extracted data on the primary and secondary outcomes examined in each study. Where the same outcome was assessed in at least three studies, we combined data in a meta-analysis.Results22 studies were included. Participants were typically middle-aged Caucasian women of mid-to-high socioeconomic status. There were a variety of interventions, comparison groups and outcomes. All studies showed a decrease in programme usage throughout the intervention period. Overall, no significant differences were found for primary outcomes which varied across studies. Meta-analysis showed no significant differences in changes in physical activity (standardised mean difference (SMD) 0.13 (95% CI −0.04 to 0.30), 12 studies) and weight (SMD −0.00 (95% CI −0.19 to 0.19), 10 studies); however, pooled results from five studies showed a significant decrease in dietary fat consumption with social media (SMD −0.35 (95% CI −0.68 to −0.02)).ConclusionsSocial media may provide certain advantages for public health interventions; however, studies of social media interventions to date relating to healthy lifestyles tend to show low levels of participation and do not show significant differences between groups in key outcomes.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Social media interventions for diet and exercise behaviours: a systematic review and meta-analysis of randomised controlled trials

et al. 2014

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“…The five factors assessed by the MQR (stimulus control, motivation for weight loss and weight loss behaviors, hopefulness about weight loss and the future, unchangeable versus changeable attributions for weight, and understanding of the caloric value of specific foods and activities) have empirical support for their relevance and prediction of weight loss in treatment programs, although few have been evaluated in the context of bariatric surgery. Stimulus control is widely accepted as a clinically effective technique in weight loss treatment [11], and motivation has been identified as a predictor of adherence to self-monitoring and weight loss in a 16-week treatment program [12]. Attributing excess weight to eating habits has been associated with both weight loss and weight loss maintenance in severely obese patients in treatment programs [13]; similarly, characterological attributions predict lower weight loss [14].…”

Section: Methodsmentioning

confidence: 99%

Revisiting the Revised Master Questionnaire for the Psychological Evaluation of Bariatric Surgery Candidates

et al. 2011

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“…Derived from the principles of learning theory and cognitive and behavioral counseling, behavioral weight control strategies assume that behaviors such as eating and exercise are learned (have a learned components) and thus can also be unlearned or modified. 4,29 The most frequently incorporated strategies included self-monitoring, such as dietary/physical activity logs and daily weight tracking 29 ; cognitive restructuring to recognize and change thinking patterns, such as nonrecognition of satiety, overeating, and dissatisfaction or distortions of body image 30 ; motivational techniques, such as cues to perform healthy behaviors 31,32 ; feedback and personalization (tailoring) 12,13,19,[33][34][35] ; and coping techniques to replace emotional eating or deal with discouragement. 18 Over the last decade, there has been unprecedented interest in obesity management.…”

Section: Introductionmentioning

confidence: 99%

Expert Panel Consensus for and Analysis of Key Attributes on Websites Devoted to Weight Control

Brown

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Johnson

et al. 2014

American Journal of Health Education

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Background: Obesity presents major challenges to public health in the United States. Trials of web-based interventions for weight control suggest that the Internet is a promising option for program delivery. Purpose: This study sought consensus among experts regarding critical components of successful weight control and to systematically examine popular websites for evidence of this best practice. Methods: A panel of 11 weight loss intervention researchers and program administrators rated, from an extensive list gleaned from the literature, the most important attributes necessary for successful weight loss programs. The researchers assessed the 20 highest ranking weight control websites, identified through organic search, for the presence of the attributes recommended by the panel. Results: Most of the top 20 websites provided limited information for the majority of the recommended attributes. Two websites were more popular than the remaining 18. Translation to Health Education Practice: Health education specialists must recognize the great numbers of adults and youth who regularly search the Internet for information and programs related to weight loss. Health education should collaborate with other disciplines to develop online programs based on behavior change theory and successful weight loss techniques and assure that these websites can be found through organic search engines.

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Motivation and Its Relationship to Adherence to Self-monitoring and Weight Loss in a 16-week Internet Behavioral Weight Loss Intervention

Cited by 119 publications

References 30 publications

Social media interventions for diet and exercise behaviours: a systematic review and meta-analysis of randomised controlled trials

Social media interventions for diet and exercise behaviours: a systematic review and meta-analysis of randomised controlled trials

Revisiting the Revised Master Questionnaire for the Psychological Evaluation of Bariatric Surgery Candidates

Expert Panel Consensus for and Analysis of Key Attributes on Websites Devoted to Weight Control

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