Brief Online Negative Affect Focused Functional Imagery Training Improves 2-Week Drinking Outcomes in Hazardous Student Drinkers: a Pilot Randomised Controlled Trial.

BACKGROUND: Negative affect plays an important role in motivating problematic alcohol use. Consequently, training imagery-based adaptive responses to negative affect could reduce problematic alcohol use. The current study tested whether personalised online functional imagery training (FIT) to utilise positive mental imagery in response to negative affect would improve drinking outcomes in hazardous negative affect drinking students. METHOD: Participants were 52 hazardous student drinkers who drink to cope with negative affect. Participants in the active group (n = 24) were trained online over 2 weeks to respond to personalised negative drinking triggers by retrieving a personalised adaptive strategy they might use to mitigate negative affect, whereas participants in the control group (n = 28) received standard risk information about binge drinking at university. Measures of daily drinking quantity, drinking motives, self-efficacy and use of protective behavioural strategies were obtained at baseline and 2 weeks follow-up. RESULTS: There were three significant interactions between group and time in a per-protocol analysis: the active intervention group showed increased self-efficacy of control over negative affect drinking and control over alcohol consumption and decreased social drinking motives from baseline to 2-week follow-up, relative to the control intervention group. There were no effects on drinking frequency. CONCLUSION: These findings provide initial evidence that online training to respond to negative affect drinking triggers by retrieving mental imagery of adaptive strategies can improve drinking-related outcomes in hazardous, student, negative affect drinkers. The findings support the utility of FIT interventions for substance use.

Exploring barriers, motivators and solutions to achieve a healthy lifestyle among undergraduate student nurses.

BACKGROUND: Many preregistration student nurses tend to be overweight or obese and have unhealthy lifestyles. AIMS: This study aimed to quantify the prevalence of these issues, to identify barriers to adopting a healthy lifestyle as well as potential solutions, and to explore the use of smartphone health apps. METHODS: An online questionnaire examined diet and physical activity habits, general health and attitudes to eHealth. An in-class questionnaire with a new sample assessed current lifestyle, barriers to healthier living, support needed to achieve goals and the use of health apps. FINDINGS: Half of student nurses were overweight or obese and only 41% met the recommended levels of physical activity. An in-class questionnaire revealed that more than half of them wanted to have a better diet and to exercise more. CONCLUSION: Generally, student nurses were not satisfied with their current lifestyles. A lack of motivation and time were the most frequently reported barriers; an intervention focusing on motivational support could be an acceptable and effective means of achieving and sustaining positive behaviour change.

Functional imagery training versus motivational interviewing for weight loss: a randomised controlled trial of brief individual interventions for overweight and obesity.

OBJECTIVE: Functional Imagery Training (FIT) is a new brief motivational intervention based on the Elaborated Intrusion theory of desire. FIT trains the habitual use of personalised, affective, goal-directed mental imagery to plan behaviours, anticipate obstacles, and mentally try out solutions from previous successes. It is delivered in the client-centred style of Motivational Interviewing (MI). We tested the impact of FIT on weight loss, compared with time- and contact-matched MI. DESIGN: We recruited 141 adults with BMI (kg/m²) ≥25, via a community newspaper, to a single-centre randomised controlled trial. Participants were allocated to one of two active interventions: FIT or MI. Primary data collection and analyses were conducted by researchers blind to interventions. All participants received two sessions of their allocated intervention; the first face-to-face (1 h), the second by phone (maximum 45 min). Booster calls of up to 15 min were provided every 2 weeks for 3 months, then once-monthly until 6 months. Maximum contact time was 4 h of individual consultation. Participants were assessed at Baseline, at the end of the intervention phase (6 months), and again 12 months post-baseline. MAIN OUTCOME MEASURES: Weight (kg) and waist circumference (WC, cm) reductions at 6 and 12 months. RESULTS: FIT participants (N = 59) lost 4.11 kg and 7.02 cm of WC, compared to .74 kg and 2.72 cm in the MI group (N = 55) at 6 months (weight mean difference (WMD) = 3.37 kg, p < .001, 95% CI [-5.2, -2.1], waist-circumference mean difference (WCMD) = 4.3 cm, p < .001, 95% CI [-6.3,-2.6]). Between-group differences were maintained and increased at month 12: FIT participants lost 6.44 kg (W) and 9.1 cm (WC) compared to the MI who lost .67 kg and 2.46 cm (WMD = 5.77 kg, p < .001, 95% CI [-7.5, -4.4], WCMD = 6.64 cm, p < .001, 95% CI [-7.5, -4.4]). CONCLUSION: FIT is a theoretically informed motivational intervention which offers substantial benefits for weight loss and maintenance of weight reduction, compared with MI alone, despite including no lifestyle education or advice.

Experiences of a Motivational Interview Delivered by a Robot: Qualitative Study.

BACKGROUND: Motivational interviewing is an effective intervention for supporting behavior change but traditionally depends on face-to-face dialogue with a human counselor. This study addressed a key challenge for the goal of developing social robotic motivational interviewers: creating an interview protocol, within the constraints of current artificial intelligence, which participants will find engaging and helpful. OBJECTIVE: The aim of this study was to explore participants' qualitative experiences of a motivational interview delivered by a social robot, including their evaluation of usability of the robot during the interaction and its impact on their motivation. METHODS: NAO robots are humanoid, child-sized social robots. We programmed a NAO robot with Choregraphe software to deliver a scripted motivational interview focused on increasing physical activity. The interview was designed to be comprehensible even without an empathetic response from the robot. Robot breathing and face-tracking functions were used to give an impression of attentiveness. A total of 20 participants took part in the robot-delivered motivational interview and evaluated it after 1 week by responding to a series of written open-ended questions. Each participant was left alone to speak aloud with the robot, advancing through a series of questions by tapping the robot's head sensor. Evaluations were content-analyzed utilizing Boyatzis' steps: (1) sampling and design, (2) developing themes and codes, and (3) validating and applying the codes. RESULTS: Themes focused on interaction with the robot, motivation, change in physical activity, and overall evaluation of the intervention. Participants found the instructions clear and the navigation easy to use. Most enjoyed the interaction but also found it was restricted by the lack of individualized response from the robot. Many positively appraised the nonjudgmental aspect of the interview and how it gave space to articulate their motivation for change. Some participants felt that the intervention increased their physical activity levels. CONCLUSIONS: Social robots can achieve a fundamental objective of motivational interviewing, encouraging participants to articulate their goals and dilemmas aloud. Because they are perceived as nonjudgmental, robots may have advantages over more humanoid avatars for delivering virtual support for behavioral change.

The Soothing Sea: A Virtual Coastal Walk Can Reduce Experienced and Recollected Pain.

Virtual reality (VR) distraction has become increasingly available in health care contexts and is used in acute pain management. However, there has been no systematic exploration of the importance of the content of VR environments. Two studies tested how interacting with nature VR influenced experienced and recollected pain after 1 week. Study 1 (n = 85) used a laboratory pain task (cold pressor), whereas Study 2 (n = 70) was a randomized controlled trial with patients undergoing dental treatment. In Study 1, nature (coastal) VR reduced both experienced and recollected pain compared with no VR. In Study 2, nature (coastal) VR reduced experienced and recalled pain in dental patients, compared with urban VR and standard care. Together, these data show that nature can improve experience of health care procedures through the use of VR, and that the content of the VR matters: Coastal nature is better than urban.

The Mini Alcohol Craving Experience Questionnaire: Development and Clinical Application.

BACKGROUND: Standardized alcohol craving scales are rarely used outside of research environments despite recognized clinical utility. Scale length is a key barrier to more widespread application. A brief measure of alcohol craving is needed to improve research and treatment of alcohol use disorders (AUDs). Grounded in the Elaborated Intrusion Theory of Desire, the Alcohol Craving Experience (ACE) Questionnaire comprises two 11-item self-report scales that assess past-week frequency and maximum strength of alcohol craving. This study aimed to create a brief version of the ACE while maintaining psychometric integrity and clinical utility. METHODS: Patients attending a university hospital alcohol and drug outpatient service for the treatment of AUD completed the ACE as part of a questionnaire battery. Three patient samples were utilized: 519 patients with pretreatment and outcome data, 228 patients with pretreatment data, and 66 patients who completed the ACE at treatment sessions 1 and 2. RESULTS: The Frequency scale of the ACE possessed greater clinical utility and predictive validity than the Strength scale. Revision of the Frequency measure produced a 5-item "Mini Alcohol Craving Experience" (MACE) Questionnaire. Satisfactory validity (construct, predictive, concurrent, convergent, and incremental) and reliability (internal and test-retest) were maintained. A 1 standard deviation increase in pretreatment MACE score was associated with a 54 percentage increase in the odds of patient lapse or dropout. CONCLUSIONS: The MACE provides a brief, theoretically, and psychometrically robust measure of alcohol craving suitable for use with AUD populations in time-limited clinical and research settings.

Assessment of Motivational Cognitions in Diabetes Self-Care: the Motivation Thought Frequency Scales for Glucose Testing, Physical Activity and Healthy Eating.

PURPOSE: There is a need for improved measurement of motivation for diabetes self-care. The Elaborated Intrusion Theory of Desire offers a coherent framework for understanding and identifying the cognitive-affective events that constitute the subjective experience of motivation and may therefore inform the development of such an instrument. Recent research has shown the resultant Motivation Thought Frequency scale (MTF) to have a stable factor structure (Intensity, Incentives Imagery, Self-Efficacy Imagery, Availability) when applied to physical activity, excessive snacking or alcohol use in the general population. The current study aimed to confirm the four-factor structure of the MTF for glucose testing, physical activity and healthy eating in people with type 2 diabetes. Associations with self-reports of concurrent diabetic self-care behaviours were also examined. METHOD: Confirmatory factor analyses tested the internal structure, and multiple regressions assessed the scale's relationship with concurrent self-care behaviours. The MTF was completed by 340 adults with type 2 diabetes, and 237 from that sample also reported self-care behaviours. Separate MTFs assessed motivation for glucose testing, physical activity and healthy eating. Self-care was assessed using questions from the Summary of Diabetes Self-Care Activities. RESULTS: The MTF for each goal achieved an acceptable fit on all indices after selected errors within factors were allowed to intercorrelate. Intensity and Self-Efficacy Imagery provided the strongest and most consistent correlations with relevant self-care behaviours. CONCLUSION: Results provide preliminary support for the MTF in a diabetes sample. Testing of its sensitivity to change and its predictive utility over time is needed.

Derailing the streetcar named desire. Cognitive distractions reduce individual differences in cravings and unhealthy snacking in response to palatable food.

People who are sensitive to food temptations are prone to weight gain and obesity in food-rich environments. Understanding the factors that drive their desire to eat is key to limiting their reactions to available food. This study tested whether individual differences in sensitivity to hedonic food cues are cognitively based and, accordingly, can be regulated by blocking cognitive resources. To this end, one lab study (Study 1; N = 91) and one field study (Study 2; N = 63) measured sensitivity to hedonic food cues using the Power of Food Scale (PFS; Lowe et al., 2009) and assessed participants' appetitive responses to high-calorie food options. To test the role of cognitive elaboration of food cues, participants completed a menu-selection task to induce food cravings and then were free to elaborate those cravings (control group) or were blocked from doing so by cognitive distraction (playing Tetris, solving puzzles; experimental group). Compared to non-sensitive participants, sensitive participants displayed a greater attentional bias to high-calorie food (Study 1), reported stronger cravings (Study 2), and more often chose an unhealthy snack (Studies 1 & 2), but only when they had not been distracted. When distracted, all participants were similarly unresponsive to high-calorie food. This finding suggests that temptation can be effectively controlled by blocking people's cognitive resources, even for people highly sensitive to hedonic food cues.

Functional Imagery Training to reduce snacking: Testing a novel motivational intervention based on Elaborated Intrusion theory.

Functional Imagery Training (FIT) is a new theory-based, manualized intervention that trains positive goal imagery. Multisensory episodic imagery of proximal personal goals is elicited and practised, to sustain motivation and compete with less functional cravings. This study tested the impact of a single session of FIT plus a booster phone call on snacking. In a stepped-wedge design, 45 participants who wanted to lose weight or reduce snacking were randomly assigned to receive a session of FIT immediately or after a 2-week delay. High-sugar and high-fat snacks were recorded using timeline follow back for the previous 3 days, at baseline, 2 and 4 weeks. At 2 weeks, snacking was lower in the immediate group than in the delayed group, and the reduction after FIT was replicated in the delayed group between 2 and 4 weeks. Frequencies of motivational thoughts about snack reduction rose following FIT for both groups, and this change correlated with reductions in snacking and weight loss. By showing that FIT can support change in eating behaviours, these findings show its potential as a motivational intervention for weight management.

Playing 'Tetris' reduces the strength, frequency and vividness of naturally occurring cravings.

Elaborated Intrusion Theory (EI) postulates that imagery is central to craving, therefore a visually based task should decrease craving and craving imagery. This study provides the first laboratory test of this hypothesis in naturally occurring, rather than artificially induced, cravings. Participants reported if they were experiencing a craving and rated the strength, vividness and intrusiveness of their craving. They then either played 'Tetris' or they waited for a computer program to load (they were told it would load, but it was designed not to). Before task completion, craving scores between conditions did not differ; after, however, participants who had played 'Tetris' had significantly lower craving and less vivid craving imagery. The findings support EI theory, showing that a visuospatial working memory load reduces naturally occurring cravings, and that Tetris might be a useful task for tackling cravings outside the laboratory. Methodologically, the findings show that craving can be studied in the laboratory without using craving induction procedures.

The conceptualisation and measurement of engagement in digital health.

Digital tools are an increasingly important component of healthcare, but their potential impact is commonly limited by a lack of user engagement. Digital health evaluations of engagement are often restricted to system usage metrics, which cannot capture a full understanding of how and why users engage with an intervention. This study aimed to examine how theory-based, multifaceted measures of engagement with digital health interventions capture different components of engagement (affective, cognitive, behavioural, micro, and macro) and to consider areas that are unclear or missing in their measurement. We identified and compared two recently developed measures that met these criteria (the Digital Behaviour Change Intervention Engagement Scale and the TWente Engagement with Ehealth Technologies Scale). Despite having similar theoretical bases and being relatively strongly correlated, there are key differences in how these scales aim to capture engagement. We discuss the implications of our analysis for how affective, cognitive, and behavioural components of engagement can be conceptualised and whether there is value in distinguishing between them. We conclude with recommendations for the circumstances in which each scale may be most useful and for how future measure development could supplement existing scales.

Mental Imagery to Reduce Alcohol-related harm in patients with alcohol use disorder and alcohol-related liver damaGE: the MIRAGE randomised pilot trial results.

OBJECTIVE: The healthcare burden of alcohol-related liver disease (ARLD) is increasing. ARLD and alcohol use disorder (AUD) is best managed by reduction or cessation of alcohol use, but effective treatments are lacking. We tested whether people with ARLD and AUD admitted to hospital could be recruited to and retained in a trial of Functional Imagery Training (FIT), a psychological therapy that uses mental imagery to reduce alcohol craving. We conducted a multicentre randomised pilot trial of treatment as usual (TAU) versus FIT+TAU in people admitted to hospital with ARLD and AUD. DESIGN: Participants were randomised to TAU (a single session of brief intervention) or FIT+TAU (TAU with one hospital-based FIT session then eight telephone sessions over 6 months). Pilot outcomes included recruitment rate and retention at day 180. Secondary outcomes included fidelity of FIT delivery, alcohol use, and severity of alcohol dependence. RESULTS: Fifty-four participants (mean age 49; 63% male) were recruited and randomised, 28 to TAU and 26 to FIT+TAU. The retention rate at day 180 was 43%. FIT was delivered adequately by most alcohol nurses. 50% of intervention participants completed FIT sessions 1 and 2. There were no differences in alcohol use or severity of alcohol dependence between treatment groups at day 180. CONCLUSION: Participants with ARLD and AUD could be recruited to a trial of FIT versus FIT+TAU. However, retention at day 180 was suboptimal. Before conducting a definitive trial of FIT in this patient group, modifications in the intervention and recruitment/retention strategy must be tested. TRIAL REGISTRATION NUMBER: ISRCTN41353774.

Brief guided imagery and body scanning interventions reduce food cravings.

Elaborated Intrusion (EI) Theory proposes that cravings occur when involuntary thoughts about food are elaborated; a key part of elaboration is affectively-charged imagery. Craving can be weakened by working memory tasks that block imagery. EI Theory predicts that cravings should also be reduced by preventing involuntary thoughts being elaborated in the first place. Research has found that imagery techniques such as body scanning and guided imagery can reduce the occurrence of food thoughts. This study tested the prediction that these techniques also reduce craving. We asked participants to abstain from food overnight, and then to carry out 10 min of body scanning, guided imagery, or a control mind wandering task. They rated their craving at 10 points during the task on a single item measure, and before and after the task using the Craving Experience Questionnaire. While craving rose during the task for the mind wandering group, neither the guided imagery nor body scanning group showed an increase. These effects were not detected by the CEQ, suggesting that they are only present during the competing task. As they require no devices or materials and are unobtrusive, brief guided imagery strategies might form useful components of weight loss programmes that attempt to address cravings.

Tell me all about it: Narrated memories are less emotional than imagined memories.

People often re-live memories by talking about them. Verbal thinking is usually less emotive than imagery-based thinking but it is not known if this finding generalises to recollection. We tested if narrating memories aloud reduces their affective charge compared with recollecting them using imagery. Participants were randomised to two conditions: imagery (recalling the memory silently as vividly as possible) or narration (describing the memory out loud as clearly as possible). After practicing with a neutral topic, they recalled three aversive (Experiments 1 and 2) or three happy (Experiment 3) memories using narration or imagery, and rated emotionality of the memory after each recall. Before and after the procedure, they completed the PANAS to measure effects on mood. Experiments 2 and 3 included a 24 h follow-up. Emotionality was consistently lower following narrated recollection than imaginal recollection: narrated M = 5.3, SD = 2.5; imaginal M = 7.2, SD = 2.0; effect size (difference in mean values divided by overall SD) = 0.78. Negative affect increased after recollection of aversive memories and positive affect decreased, but there were no effects of condition upon mood. Recalling a positive memory had no effect on mood. Follow-up data showed no lasting effects of recall mode on availability of memories or mood. We conclude that narration of emotional autobiographical memories reduces the emotionality of the recollection, but does not differentially change mood compared with image-based recall.

"I see myself": Craving imagery among individuals with addictive disorders.

Craving has been put forward as a core feature of addictive disorders.The present qualitative study investigated the experience of craving among individuals with addictive disorders and recent experiences of cravings.Eleven individuals with Gambling Disorder and ten with Alcohol Use Disorder (n = 21) were recruited. A semi-structured interview explored: (1) modes of thought during craving (mental imagery or verbal thoughts), (2) craving content, (3) coping strategies and (4) craving context.The thematic analysis showed that cravings were initially dominated by imagery, with a subsequent conflict between imagery and verbal thoughts. Craving content included imagery of preparative rituals, anticipation, and sensory activation, imagery of the addictive behavior "me, there and then imagery" and anticipating that "something good will come out of it." Some participants related to craving as a symptom of sickness, and coping with craving were through distraction, reminding oneself of negative consequences, or via sensory control: avoiding stimuli associated with the addiction. Craving contexts included typical settings of drinking or gambling and engagement of both positive and negative emotions. Alcohol craving was described as an expected relief from internal stimuli, such as anxiety or stress, whereas gambling craving was more often described as an expectancy of financial reward.Craving was experienced mainly through imagery containing the preparative routines and expected outcomes. Future research and clinical practice should incorporate mode of thought in cravings to better understand its role in the maintenance of the disorders and their treatment.Supplemental data for this article is available online at https://doi.org/10.1080/10550887.2022.2058299 .

Potential associations between behavior change techniques and engagement with mobile health apps: a systematic review.

Introduction: Lack of engagement is a common challenge for digital health interventions. To achieve their potential, it is necessary to understand how best to support users' engagement with interventions and target health behaviors. The aim of this systematic review was to identify the behavioral theories and behavior change techniques being incorporated into mobile health apps and how they are associated with the different components of engagement. Methods: The review was structured using the PRISMA and PICOS frameworks and searched six databases in July 2022: PubMed, Embase, CINAHL, APA PsycArticles, ScienceDirect, and Web of Science. Risk of bias was evaluated using the Cochrane Collaboration Risk of Bias 2 and the Mixed Methods Appraisal Tools. Analysis: A descriptive analysis provided an overview of study and app characteristics and evidence for potential associations between Behavior Change Techniques (BCTs) and engagement was examined. Results: The final analysis included 28 studies. Six BCTs were repeatedly associated with user engagement: goal setting, self-monitoring of behavior, feedback on behavior, prompts/cues, rewards, and social support. There was insufficient data reported to examine associations with specific components of engagement, but the analysis indicated that the different components were being captured by various measures. Conclusion: This review provides further evidence supporting the use of common BCTs in mobile health apps. To enable developers to leverage BCTs and other app features to optimize engagement in specific contexts and individual characteristics, we need a better understanding of how BCTs are associated with different components of engagement. Systematic review registration: https://www.crd.york.ac.uk/prospero/, identifier CRD42022312596.

An attentional control task reduces intrusive thoughts about smoking.

INTRODUCTION: Attentional control tasks such as body scanning and following isometric exercise instructions have been shown to reduce smoking cravings, apparently by reducing stress (Ussher, M., Cropley, M., Playle, S., Mohidin, R., & West, R. [2009]. Effect of isometric exercise and body scanning on cigarette cravings and withdrawal symptoms. Addiction, 104, 1251-1257. doi:10.1111/j.1360-0443.2009.02605.x). Related work based upon elaborated intrusion theory (Kavanagh, D. J., Andrade, J., & May, J. [2005]. Imaginary relish and exquisite torture: The elaborated intrusion theory of desire. Psychological Review, 112, 446-467. doi:10.1037/0033-295X.112.2.446) has shown that similar tasks can reduce hungry participants' involuntary food-related thoughts (May, J., Andrade, J., Batey, H., Berry, L.-M., & Kavanagh, D. [2010]. Less food for thought: Impact of attentional instructions on intrusive thoughts about snack foods. Appetite, 55, 279-287. doi:10.1016/j.appet.2010.06.014). This study tests the effect of body scanning instructions upon smoking-related thoughts as well as craving. METHODS: Twenty-seven smokers took part in 2 counterbalanced sessions, on different days, having been asked to abstain from smoking for 2 hr. In each session, they followed audio instructions for three 10-min blocks during which their thoughts were probed 10 times. In the first and third blocks, they were instructed to let their mind wander; during the second block of the control session, they also let their mind wander, but in the experimental session, they followed body scanning instructions. "Smoking thought frequency" was assessed using thought probes; "Craving" was measured using Factor 1 of the Questionnaire on Smoking Urges (Tiffany, S. T., & Drobes, D. J. [1991]. The development and initial validation of a questionnaire on smoking urges. British Journal of Addiction, 86, 1467-1476. doi:10.1111/j.1360-0443.1991.tb01732.x). RESULTS: Participants reported fewer smoking-related thoughts and lower smoking cravings in the body scanning block of the experimental session, whereas they rose in the comparable mind-wandering block of the control session. The reduction in thoughts during the body scanning correlated with the corresponding reduction in craving. CONCLUSIONS: Body scanning reduces cravings and reduces the frequency or shortens the duration of smoking thoughts. Attentional control strategies may form a useful part of smoking cessation practices.

Use of a clay modeling task to reduce chocolate craving.

Elaborated Intrusion theory (EI theory; Kavanagh, Andrade, & May, 2005) posits two main cognitive components in craving: associative processes that lead to intrusive thoughts about the craved substance or activity, and elaborative processes supporting mental imagery of the substance or activity. We used a novel visuospatial task to test the hypothesis that visual imagery plays a key role in craving. Experiment 1 showed that spending 10 min constructing shapes from modeling clay (plasticine) reduced participants' craving for chocolate compared with spending 10 min 'letting your mind wander'. Increasing the load on verbal working memory using a mental arithmetic task (counting backwards by threes) did not reduce craving further. Experiment 2 compared effects on craving of a simpler verbal task (counting by ones) and clay modeling. Clay modeling reduced overall craving strength and strength of craving imagery, and reduced the frequency of thoughts about chocolate. The results are consistent with EI theory, showing that craving is reduced by loading the visuospatial sketchpad of working memory but not by loading the phonological loop. Clay modeling might be a useful self-help tool to help manage craving for chocolate, snacks and other foods.

Dynamic visual noise reduces confidence in short-term memory for visual information.

Previous research has shown effects of the visual interference technique, dynamic visual noise (DVN), on visual imagery, but not on visual short-term memory, unless retention of precise visual detail is required. This study tested the prediction that DVN does also affect retention of gross visual information, specifically by reducing confidence. Participants performed a matrix pattern memory task with three retention interval interference conditions (DVN, static visual noise and no interference control) that varied from trial to trial. At recall, participants indicated whether or not they were sure of their responses. As in previous research, DVN did not impair recall accuracy or latency on the task, but it did reduce recall confidence relative to static visual noise and no interference. We conclude that DVN does distort visual representations in short-term memory, but standard coarse-grained recall measures are insensitive to these distortions.

Associations Between Behavior Change Techniques and Engagement With Mobile Health Apps: Protocol for a Systematic Review.

BACKGROUND: Digitally enabled care along with an emphasis on self-management of health is steadily growing. Mobile health apps provide a promising means of supporting health behavior change; however, engagement with them is often poor and evidence of their impact on health outcomes is lacking. As engagement is a key prerequisite to health behavior change, it is essential to understand how engagement with mobile health apps and their target health behaviors can be better supported. Although the importance of engagement is emphasized strongly in the literature, the understanding of how different components of engagement are associated with specific techniques that aim to change behaviors is lacking. OBJECTIVE: The purpose of this systematic review protocol is to provide a synthesis of the associations between various behavior change techniques (BCTs) and the different components and measures of engagement with mobile health apps. METHODS: The review protocol was structured using the PRISMA-P (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols) and the PICOS (Population, Intervention, Comparator, Outcome, and Study type) frameworks. The following seven databases will be systematically searched: PubMed, Embase, Cumulative Index to Nursing and Allied Health Literature, APA PsycInfo, ScienceDirect, Cochrane Library, and Web of Science. Title and abstract screening, full-text review, and data extraction will be conducted by 2 independent reviewers. Data will be extracted into a predetermined form, any disagreements in screening or data extraction will be discussed, and a third reviewer will be consulted if consensus cannot be reached. Risk of bias will be assessed using the Cochrane Collaboration Risk of Bias 2 and the Risk Of Bias In Non-Randomized Studies - of Interventions (ROBINS-I) tools; descriptive and thematic analyses will be conducted to summarize the relationships between BCTs and the different components of engagement. RESULTS: The systematic review has not yet started. It is expected to be completed and submitted for publication by May 2022. CONCLUSIONS: This systematic review will summarize the associations between different BCTs and various components and measures of engagement with mobile health apps. This will help identify areas where further research is needed to examine BCTs that could potentially support effective engagement and help inform the design and evaluation of future mobile health apps. TRIAL REGISTRATION: PROSPERO CRD42022312596; https://tinyurl.com/nhzp8223. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/35172.