scholarly journals #LetsUnlitterUK: A demonstration and evaluation of the Behavior Change Wheel methodology

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0259747
Author(s):  
Julia Kolodko ◽  
Kelly Ann Schmidtke ◽  
Daniel Read ◽  
Ivo Vlaev
Keyword(s):  
Social Media ◽  
Behavior Change ◽  
Controlled Trials ◽  
Environmental Behaviors ◽  
Environmental Interventions ◽  
Media Study ◽  
Randomized Controlled ◽  
Behavior Change Interventions ◽  
Behavior Change Wheel ◽  
Current Article

The Behavior Change Wheel is the most comprehensive and practically useful methodology available for developing behavior change interventions. The current article demonstrates how it can be applied to optimize pro-environmental behaviors and, in so doing, give interventionists access to a rigorous set of theories and techniques for systematically developing pro-environmental interventions. Section 1 describes the development of an intervention to increase people’s intentions to post anti-littering messages on social media. Study 2 describes the development and evaluation of an intervention to increase people’s actual anti-littering posts. Both evaluations are randomized controlled trials that compare the effectiveness of the developed intervention with interventions less informed by the Wheel. We found interventions completely informed by the Wheel to be more effective than interventions less (or not at all) informed by the Wheel. The discussion explores how the Behavior Change Wheel methodology can be used to design future pro-environment interventions.

scholarly journals Clinical Effectiveness of Weight Loss and Weight Maintenance Interventions for Men: A Systematic Review of Men-Only Randomized Controlled Trials (The ROMEO Project)

2015 ◽  
Vol 11 (4) ◽  
pp. 1096-1123 ◽  
Author(s):  
Clare Robertson ◽  
Alison Avenell ◽  
Fiona Stewart ◽  
Daryll Archibald ◽  
Flora Douglas ◽  
...  
Keyword(s):  
Physical Activity ◽  
Systematic Review ◽  
Weight Loss ◽  
Confidence Interval ◽  
Behavior Change ◽  
Randomized Controlled Trials ◽  
Controlled Trials ◽  
Behavior Change Techniques ◽  
Randomized Controlled ◽  
And Behavior

Men are underrepresented in obesity services, suggesting current weight loss service provision is suboptimal. This systematic review evaluated evidence-based strategies for treating obesity in men. Eight bibliographic databases and four clinical trials’ registers were searched to identify randomized controlled trials (RCTs) of weight loss interventions in men only, with mean/median body mass index of ≥30 kg/m2 (or ≥28 kg/m2 with cardiac risk factors), with a minimum mean/median duration of ≥52 weeks. Interventions included diet, physical activity, behavior change techniques, orlistat, or combinations of these; compared against each other, placebo, or a no intervention control group; in any setting. Twenty-one reports from 14 RCTs were identified. Reducing diets produced more favorable weight loss than physical activity alone (mean weight change after 1 year from a reducing diet compared with an exercise program −3.2 kg, 95% confidence interval −4.8 to −1.6 kg, reported p < .01). The most effective interventions combined reducing diets, exercise, and behavior change techniques (mean difference in weight at 1 year compared with no intervention was −4.9 kg, 95% confidence interval −5.9 to −4.0, reported p < .0001). Group interventions produced favorable weight loss results. The average reported participant retention rate was 78.2%, ranging from 44% to 100% retention, indicating that, once engaged, men remained committed to a weight loss intervention. Weight loss for men is best achieved and maintained with the combination of a reducing diet, increased physical activity, and behavior change techniques. Strategies to increase engagement of men with weight loss services to improve the reach of interventions are needed.

scholarly journals Peer-Based Social Media Features in Behavior Change Interventions: Systematic Review (Preprint)

2017 ◽  
Author(s):  
Sheik Mohammad Roushdat Ally Elaheebocus ◽  
Mark Weal ◽  
Leanne Morrison ◽  
Lucy Yardley
Keyword(s):  
Systematic Review ◽  
Social Media ◽  
Behavior Change ◽  
Behavioral Interventions ◽  
Selection Process ◽  
Future Research ◽  
Behavioral Risk ◽  
Lack Of Information ◽  
Behavior Change Interventions ◽  
High Level

BACKGROUND Incorporating social media features into digital behavior change interventions (DBCIs) has the potential to contribute positively to their success. However, the lack of clear design principles to describe and guide the use of these features in behavioral interventions limits cross-study comparisons of their uses and effects. OBJECTIVE The aim of this study was to provide a systematic review of DBCIs targeting modifiable behavioral risk factors that have included social media features as part of their intervention infrastructure. A taxonomy of social media features is presented to inform the development, description, and evaluation of behavioral interventions. METHODS Search terms were used in 8 databases to identify DBCIs that incorporated social media features and targeted tobacco smoking, diet and nutrition, physical activities, or alcohol consumption. The screening and review process was performed by 2 independent researchers. RESULTS A total of 5264 articles were screened, and 143 articles describing a total of 134 studies were retained for full review. The majority of studies (70%) reported positive outcomes, followed by 28% finding no effects with regard to their respective objectives and hypothesis, and 2% of the studies found that their interventions had negative outcomes. Few studies reported on the association between the inclusion of social media features and intervention effect. A taxonomy of social media features used in behavioral interventions has been presented with 36 social media features organized under 7 high-level categories. The taxonomy has been used to guide the analysis of this review. CONCLUSIONS Although social media features are commonly included in DBCIs, there is an acute lack of information with respect to their effect on outcomes and a lack of clear guidance to inform the selection process based on the features’ suitability for the different behaviors. The proposed taxonomy along with the set of recommendations included in this review will support future research aimed at isolating and reporting the effects of social media features on DBCIs, cross-study comparisons, and evaluations.

Fruitless Searches

2020 ◽  
pp. 121-136
Author(s):  
Gary Smith ◽  
Jay Cordes
Keyword(s):  
Social Media ◽  
General Population ◽  
Randomized Controlled Trials ◽  
The Internet ◽  
Controlled Trials ◽  
Randomized Controlled ◽  
Unlimited Number ◽  
The People ◽  
Rule Out

The Internet provides a firehose of data that researchers can use to understand and predict people’s behavior. However, unless A/B tests are used, these data are not from randomized controlled trials that allow us to rule out confounding influences. In addition, the people using the Internet in general, and social media in particular, are surely unrepresentative and their activities should be used cautiously for drawing conclusions about the general population. Things we read or see on the Internet are not necessarily true. Things we do on the Internet are not necessarily informative. An unrestrained scrutiny of searches, updates, tweets, hashtags, images, videos, or captions is certain to turn up an essentially unlimited number of phantom patterns that are entirely coincidental, and completely worthless.

Effects of individualization and age on mHealth interventions to reduce physical inactivity and sedentary behaviour in children and adolescents: A systematic review and meta-analysis of randomized controlled trials (Preprint)

2021 ◽  
Author(s):  
Hannes Baumann ◽  
Janis Fiedler ◽  
Kathrin Wunsch ◽  
Bettina Wollesen ◽  
Alexander Woll
Keyword(s):  
Physical Activity ◽  
Behavior Change ◽  
Randomized Controlled Trials ◽  
Children And Adolescents ◽  
Physical Inactivity ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Controlled Trials ◽  
Randomized Controlled ◽  
Low Levels

BACKGROUND Children and adolescents increasingly do not meet physical activity (PA) recommendations. Hence, insufficient physical activity (IPA) and sedentary behavior (SB) among children and adolescents are relevant behavior change domains for using individualized mobile health (mHealth) interventions. OBJECTIVE The current review and meta-analysis investigates the effectiveness of mHealth interventions on IPA and SB with a special focus on age level of individualization. METHODS PubMed, Scopus, Web of Science, SPORTDiscus, and Cochrane Library were searched for randomized controlled trials published between January 2000 and March 2021. mHealth interventions for primary prevention in children and adolescents addressing behavior change regarding insufficient PA and SB were included. Included studies were compared for content characteristics as well as methodological quality and summarized narratively. In addition, a meta-analysis with a subsequent exploratory meta-regression examining the moderating effects of age and individualization on overall effectiveness was performed. RESULTS Based on inclusion criteria, 11 of the preliminary 825 identified studies were included for qualitative synthesis and 10 were included for the meta-analysis. Trials included a total of 1515 participants (Age (M, SD) = 11.69 ± 0.788; 65% male; 35% female) with self-reported (n = 4) or device-based measured (n = 7) health data on the duration of SB and physical inactivity (PIA) for an average of 9.3±5.6 weeks. Studies with high levels of individualization decreased insufficient PA levels significantly (d = 0.33; CI = 0.08, 0.58; z = 2.55; p = 0.01), whereas those with low levels of individualization (d = -0.06; CI = -0.32, 0.20; Z = 0.48; p = 0.63), or targeting SB (d = -0.11; CI = -0.01, 0.23; z = 1.73; p = 0.08) indicated no overall significant effect. Heterogeneity of the studies was moderate to low, and significant subgroup differences between trials with high and low levels of individualization (χ2 = 4.04; df = 1; p = 0.04; I² = 75,2%) were found. Age as a moderator variable showed a small effect, but the results were not significant which might have been due to being underpowered. CONCLUSIONS Evidence suggests that mHealth interventions for children and adolescents can foster moderate reductions in PIA but not SB. Moreover, individualized mHealth interventions to reduce PIA seem more effective for adolescents than for children. Although to date only few mHealth studies address inactive and sedentary young people and their quality of evidence is moderate, these findings indicate the relevance of individualization on the one hand and the difficulties in reducing SB using mHealth interventions on the other hand. CLINICALTRIAL PROSPERO International Prospective Register of Systematic Reviews CRD42020209417; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=209417

Using Biological Feedback to Promote Health Behavior Change in Adults: Protocol for a Scoping Review (Preprint)

2021 ◽  
Author(s):  
Kelli Marie Richardson ◽  
Ahlam A Saleh ◽  
Michelle R Jospe ◽  
Yue Liao ◽  
Susan Schembre
Keyword(s):  
Health Behavior ◽  
Behavior Change ◽  
Scoping Review ◽  
Health Behavior Change ◽  
Controlled Trials ◽  
Cochrane Central Register ◽  
Biological Feedback ◽  
Design And Implementation ◽  
Behavior Change Interventions ◽  
Wide Range

BACKGROUND Many health conditions can be prevented, managed, or improved through behavioral interventions. Biological feedback, as a component of health behavior change interventions, is of particular interest given recent advances in wearable biosensing technology, digital health apps, and personalized health and wellness. Yet, there is a paucity of literature to guide the design and implementation of interventions that incorporate biological feedback to motivate health behavior change. OBJECTIVE The goal of this scoping review is to deeply explore the use of biological feedback as a component of health behavior change interventions that target adults. Objectives of the review include: (1) mapping the domains of research that incorporate biological feedback and (2) describing the operational characteristics of using biological feedback in the context of health behavior change. METHODS A comprehensive list of search terms was developed to capture studies from a wide range of domains. Studies to be included are randomized controlled trials targeting adults ≥18 years old that use biological feedback to change a health-related behavior, and are published as primary research articles, theses, or dissertations. The following electronic databases were searched: Ovid MEDLINE, Embase.com Embase, Cochrane Central Register of Controlled Trials, EBSCOhost PsycINFO, and ProQuest Dissertations & Theses Global. The screening and data extraction process will be guided by the Joanna Briggs Institute Manual for Evidence Synthesis and conducted by trained reviewers. RESULTS Database searches were completed in June 2021. A total of 50,459 unique records were returned after the removal of 48,634 duplicate records. The scoping review is planned for completion in 2022. CONCLUSIONS To our knowledge, this will be the first scoping review to map the literature that uses biological feedback as a component of health behavior change interventions targeting adults. Findings will be used to develop a framework to guide the design and implementation of future health behavior change interventions that incorporate biological feedback. CLINICALTRIAL 10.17605/OSF.IO/YP5WA

scholarly journals Peer-Based Social Media Features in Behavior Change Interventions: Systematic Review

2018 ◽  
Vol 20 (2) ◽  
pp. e20 ◽  
Author(s):  
Sheik Mohammad Roushdat Ally Elaheebocus ◽  
Mark Weal ◽  
Leanne Morrison ◽  
Lucy Yardley
Keyword(s):  
Systematic Review ◽  
Social Media ◽  
Behavior Change ◽  
Behavior Change Interventions

scholarly journals Digital and social media impact of positive versus negative obstetrical randomized controlled trials

2022 ◽  
Vol 226 (1) ◽  
pp. S283
Author(s):  
Georgios Doulaveris ◽  
Kavita Vani ◽  
Gabriele Saccone ◽  
Suneet P. Chauhan ◽  
Vincenzo Berghella
Keyword(s):  
Social Media ◽  
Randomized Controlled Trials ◽  
Controlled Trials ◽  
Media Impact ◽  
Randomized Controlled
Sign in / Sign up

Export Citation Format

Share Document