Background Web-based interventions are thought to overcome barriers to treatment, such as accessibility and geographical location, which can undermine the effectiveness of traditional face-to-face interventions. Owing to these features, researchers are increasingly testing the efficacy of web-based interventions as ways to reduce alcohol misuse, binge eating, and gambling. However, many web-based interventions have poorly defined mechanisms of action; therefore, it is often uncertain how they propose to bring about behavior change. Objective This systematic review aims to identify effective behavior change techniques (BCTs) present in web-based interventions aimed at reducing alcohol consumption, binge eating, or gambling. Methods This systematic review covered research conducted in the last 20 years. Inclusion criteria for interventions were web-based administration; targeting alcohol use, binge eating, and/or gambling; and reporting on baseline and postintervention measures of behavior. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) guidelines were followed. We coded intervention effectiveness, study quality, and BCTs present in the interventions. Results Following removal of 4152 ineligible articles, 45 were included in the review: 32 (71%) targeted alcohol misuse, 6 (13%) targeted binge eating, and 7 (16%) targeted gambling. In total, 5 frequency counts were performed to identify the most commonly used BCTs: all studies, effective interventions, high-quality studies at 2 thresholds, and both high quality and effective studies. The results obtained from this were integrated to identify 7 BCTs. These 7 BCTs were problem solving, feedback on behavior, self-monitoring of behavior, self-monitoring of outcomes, instruction on how to perform a behavior, information about social and health consequences, and social comparison. A total of 4 BCTs were found in all frequency counts: feedback on behavior, self-monitoring of behavior, instruction on how to perform a behavior, and social comparison. Self-monitoring of outcomes of behavior was found in 3 of the 5 frequency counts, problem solving was found in 2 frequency counts, and information about social and health consequences was found in 1 frequency count. Conclusions This systematic review identified 7 of the most frequently used BCTs used in web-based interventions focused on alcohol misuse, binge eating, and gambling. These results can inform the development of evidence-based eHealth interventions that have the potential to lead to effective, positive behavior changes in all 3 areas.

Background There is convincing evidence that unhealthy food marketing is extensive on television and in digital media, uses powerful persuasive techniques, and impacts dietary choices and consumption, particularly in children. It is less clear whether this is also the case for outdoor food marketing. This review (i) identifies common criteria used to define outdoor food marketing, (ii) summarises research methodologies used, (iii) identifies available evidence on the exposure, power (i.e. persuasive creative strategies within marketing) and impact of outdoor food marketing on behaviour and health and (iv) identifies knowledge gaps and directions for future research. Methods A systematic search was conducted of Medline (Ovid), Scopus, Science Direct, Proquest, PsycINFO, CINAHL, PubMed, the Cochrane Database of Systematic Reviews, the Cochrane Central Register of Controlled Trials and a number of grey literature sources. Titles and abstracts were screened by one researcher. Relevant full texts were independently checked by two researchers against eligibility criteria. Results Fifty-three studies were conducted across twenty-one countries. The majority of studies (n = 39) were conducted in high-income countries. All measured the extent of exposure to outdoor food marketing, twelve also assessed power and three measured impact on behavioural or health outcomes. Criteria used to define outdoor food marketing and methodologies adopted were highly variable across studies. Almost a quarter of advertisements across all studies were for food (mean of 22.1%) and the majority of advertised foods were unhealthy (mean of 63%). The evidence on differences in exposure by SES is heterogenous, which makes it difficult to draw conclusions, however the research suggests that ethnic minority groups have a higher likelihood of exposure to food marketing outdoors. The most frequent persuasive creative strategies were premium offers and use of characters. There was limited evidence on the relationship between exposure to outdoor food marketing and eating behaviour or health outcomes. Conclusions This review highlights the extent of unhealthy outdoor food marketing globally and the powerful methods used within this marketing. There is a need for consistency in defining and measuring outdoor food marketing to enable comparison across time and place. Future research should attempt to measure direct impacts on behaviour and health.

This review aimed to identify whether motivational interviewing (MI) (a counselling approach for supporting behaviour change [BC]) helps to reduce bodyweight and BMI in an adult obesity context. This included evaluating effectiveness of MI interventions within this population and reporting the methodology used, including theoretical underpinnings and identification of BC and MI techniques. Eight databases were searched using controlled vocabulary. Eligible studies included adults with obesity (BMI ≥30 kg/m 2 ), author-reported interventions using MI aiming to reduce body weight or BMI, and comparator groups not receiving an MI intervention. Data extraction and quality appraisal tools were used to identify study characteristics, intervention content was coded for techniques, and random-effects meta-analysis were conducted to investigate effects. Meta-analysis of 12 studies indicated no overall pooled effect on bodyweight and BMI outcomes between intervention and control groups (SMD = À0.01 [95%CI À0.13 to 0.12, P = .93]). Findings were limited by multiple sources accounting for risk of bias, and poor reporting of intervention fidelity and content. Intervention and control content descriptions indicated similar techniques, with social support, goal setting (behaviour) and self-monitoring of behaviour occurring most frequently across both. Findings do not contribute additional evidence for MI use in this context, however methodological limitations were identified which must be resolved to better identify the intervention effects on obesity-related outcomes.

Are commonly used lab-based measures of food value and choice predictive of self-reported real-world snacking? An ecological momentary assessment study http://researchonline.ljmu.ac.uk/id/eprint/17554/ Article LJMU has developed LJMU Research Online for users to access the research output of the University more effectively.

BACKGROUND Completely online interventions are thought to overcome barriers to treatment, such as accessibility and geographical location, that can undermine the effectivness of traditional face-to-face interventions. Due to these features, researchers are increasingly testing the efficacy of online interventions as ways to reduce alcohol misuse, emotional eating and gambling. However, many online interventions have poorly defined mechanisms of action, meaning it is often uncertain how they propose to bring about behaviour change. OBJECTIVE The systematic review aimed to identify effective Behaviour Change Techniques (BCTs) present in online interventions which aimed to reduce alcohol consumption, emotional eating, or gambling. METHODS The systematic review covered research conducted in the last 20 years. Inclusion criteria for interventions were (1) online administration (2) target alcohol use, emotional eating and/or gambling and (3) report baseline and post-intervention mesures of behaviour. PRISMA guidelines were followed. We coded intervention effectiveness, study quality and BCTs present in the interventions. RESULTS Following removal of 4,152 ineligible articles, 45 were included in the review: 32 targeted alcohol misuse; six for emotional eating; seven for gambling. The five most commonly used BCTs present across interventions were identified. When intervention success and study quality were controlled for, results differed slightly. Results from all frequency counts were integrated to identify seven commonly used BCTs. These BCTs were Problem solving, Feedback on behaviour, Self-monitoring of behaviour, Self-monitoring of outcomes, Instruction on how to perform a behaviour, Information about social and health consequences and Social comparison. CONCLUSIONS This systematic review identified seven of the most frequently used behaviour change techniques used in online interventions focused on alcohol misuse, emotional eating and gambling interventions. These results can inform the development of evidence-based e-health interventions which have the potential to lead to effective, positive behaviour change in all three areas.