The Role of Relevance in Shaping Perceptions of Sleep Hygiene Games Among University Students: Mixed Methods Study.

BACKGROUND: Sleep games are an emerging topic in the realm of serious health game research. However, designing features that are both enjoyable and effective at engaging users, particularly university students, to develop healthy sleep habits remains a challenge. OBJECTIVE: This study aims to investigate user preferences for 3 sleep game prototypes, that is, Hero's Sleep Journey, Sleep Tamagotchi, and Sleepland, and to explore their popularity and perceived utility in promoting sleep health. METHODS: A mixed methods approach was used in this study. Quantitative and qualitative data were collected through a co-design workshop involving 47 university students. Participants were presented with storyboard cards of game features and were asked to provide an overall rating on each game, as well as ratings for individual features. They were also encouraged to provide free-form comments on the features and suggest improvements. In addition, participants were asked to express their preferences among the 3 games regarding which game they would most like to play and which one they found most useful for promoting sleep health. RESULTS: Surprisingly, while Hero's Sleep Journey was the most popular choice among participants, Sleep Tamagotchi was perceived as the most beneficial for improving sleep health. Relevance emerged as an overarching theme in the qualitative data analysis, with 3 interconnected dimensions: psychological relevance to users' personal lives, logical relevance to sleep health, and situational relevance to users' circumstantial context. We discussed how the 3 dimensions of relevance address the autonomy and relatedness constructs outlined in the self-determination theory and proposed 3 design recommendations. CONCLUSIONS: Our serious sleep game prototypes demonstrated the potential to engage university students to develop healthy sleep hygiene. Future sleep game designs should aim to create a sense of relevance to users' personal lives, sleep health goals, and situational contexts. Rather than a one-size-fits-all approach, it is essential to develop a wide range of game genres and features to cater to diverse users. Aligning game features with sleep health goals and educating users on the design rationale through sleep knowledge are also important aspects. Furthermore, allowing users to customize their game experience and manage technology boundaries is necessary to nurture a sense of control and autonomy in the process of forming good sleep hygiene.

Rationale and design of a randomized placebo-controlled nutritional trial embracing a citizen science approach.

Modulation of the gut microbiota through specific dietary interventions shows potential for maintenance and optimization of health. A dietary fiber diet and fermented foods diet appear to alter the gut microbiota, but evidence is limited. Therefore, we designed the Gut Health Enhancement by Eating Favorable Food study, a 21-week randomized controlled trial studying effects of dietary fibers and fermented foods on gut microbiota diversity and composition, while also stimulating dietary behavior changes through a citizen science (CS) approach. We hypothesized that a high-fermented food diet would increase microbial diversity, whereas a high-dietary fiber diet would stimulate the growth of specific fiber-degrading bacteria. The following elements of CS were adopted: education on the gut microbiota, tailored dietary intervention, remote data collection by participants, sharing of personal gut microbiota outcomes with participants, and vlogs by participants for dissemination of results. Here we describe the study protocol and report the flow of participants, baseline characteristics, and compliance rates. Completed in March 2024, the trial included 147 healthy adults randomized to a high-dietary fiber intervention, high-fermented food intervention, or control group. Each group received an additional study product after 2 weeks: dried chicory root, a fermented beverage, or maltodextrin (placebo). A 3-month follow-up assessed the participants' ability to sustain dietary changes. The recruitment of participants was successful, reflected by 1448 applications. The compliance with the dietary guidelines and study products was >90%. This study shows that including elements of CS in an randomized controlled trial is feasible and may help recruitment and compliance.

Exploring heterogeneity in recovery from substance use disorder following mindfulness-based relapse prevention: A latent profile analysis.

INTRODUCTION: Substance use disorder (SUD) recovery is heterogeneous. Yet, over the last 50 years, substance use treatment providers and researchers have often defined success as sustained abstinence from substance use. An often overlooked but equally valid pathway to recovery for persons with SUD is non-abstinent recovery. However, most of the literature on non-abstinent recovery exists for individuals with alcohol use disorder (AUD) with few studies of non-abstinent recovery for other types of SUD. Literature exploring the mechanisms that lead to non-abstinent recovery is also lacking. As such, the current study aimed to examine recovery profiles for individuals (N = 454) recruited in two randomized clinical trials comparing mindfulness-based relapse prevention with cognitive-behavioral relapse prevention and/or treatment as usual. METHODS: Latent profile analysis empirically derived profiles of recovery following outpatient aftercare SUD treatment. Multinomial logistic regression examined associations between treatment assignment and recovery profile, including potential psychological mediators (e.g., mindfulness) and contextual moderators (e.g., annual household income). RESULTS: Analyses supported four recovery profiles: (1) low-functioning frequent substance use; (2) low-functioning infrequent substance use; (3) high-functioning frequent substance use; (4) high-functioning infrequent substance use. There were no significant interaction effects of race or ethnicity by treatment type, or household income by treatment type, in predicting recovery profiles. Trait mindfulness, craving, and psychological flexibility failed to mediate the association between treatment assignment and recovery profile; however, there were statistically significant differences in trait mindfulness with individuals expected to be classified in the low-functioning infrequent substance use profile showing significantly lower levels of trait mindfulness compared to individuals in the two high-functioning profiles. CONCLUSIONS: Findings suggest that recovery from SUD is heterogeneous, and profiles of recovery based on dimensions of substance use and functioning can be identified across a variety of SUD, including among people with co-occurring SUD. Additionally, trait mindfulness appears to be a differentiating factor across recovery profiles. Further research is needed to explore how psychological and social factors may moderate and influence both abstinent and non-abstinent forms of recovery.

Considering User Experience and Behavioral Approaches in the Design of mHealth Interventions for Atrial Fibrillation: Systematic Review.

BACKGROUND: Atrial fibrillation (AF) is a leading chronic cardiac disease associated with an increased risk of stroke, cardiac complications, and general mortality. Mobile health (mHealth) interventions, including wearable devices and apps, can aid in the detection, screening, and management of AF to improve patient outcomes. The inclusion of approaches that consider user experiences and behavior in the design of health care interventions can increase the usability of mHealth interventions, and hence, hopefully, yield an increase in positive outcomes in the lives of users. OBJECTIVE: This study aims to show how research has considered user experiences and behavioral approaches in designing mHealth interventions for AF detection, screening, and management; the phases of designing complex interventions from the UK Medical Research Council (MRC) were referenced: namely, identification, development, feasibility, evaluation, and implementation. METHODS: Studies published until September 7, 2022, that examined user experiences and behavioral approaches associated with mHealth interventions in the context of AF were extracted from multiple databases. The PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) guidelines were used. RESULTS: A total of 2219 records were extracted, with only 55 records reporting on usability, user experiences, or behavioral approaches more widely for designing mHealth interventions in the context of AF. When mapping the studies onto the phases of the UK MRC's guidance for developing and evaluating complex interventions, the following was found: in the identification phase, there were significant differences between the needs of patients and health care workers. In the development phase, user perspectives guided the iterative development of apps, interfaces, and intervention protocols in 4 studies. Most studies (43/55, 78%) assessed the usability of interventions in the feasibility phase as an outcome, although the data collection tools were not designed together with users and stakeholders. Studies that examined the evaluation and implementation phase entailed reporting on challenges in user participation, acceptance, and workflows that could not be captured by studies in the previous phases. To realize the envisaged human behavior intended through treatment, review results highlight the scant inclusion of behavior change approaches for mHealth interventions across multiple levels of sociotechnical health care systems. While interventions at the level of the individual (micro) and the level of communities (meso) were found in the studies reviewed, no studies were found intervening at societal levels (macro). Studies also failed to consider the temporal variation of user goals and feedback in the design of long-term behavioral interventions. CONCLUSIONS: In this systematic review, we proposed 2 contributions: first, mapping studies to different phases of the MRC framework for developing and evaluating complex interventions, and second, mapping behavioral approaches to different levels of health care systems. Finally, we discuss the wider implications of our results in guiding future mHealth research.

Evaluation of a Workplace Diabetes Prevention Program Delivered via Distance Learning: A Qualitative Study.

Little is known about how distance learning impacts delivery of the National Diabetes Prevention Program (DPP) despite a rapid shift to this platform during the coronavirus disease 2019 (COVID-19) public health emergency. We explored how a workplace DPP, delivered via distance learning, impacted knowledge, motivation, and behavioral skills of participants throughout the program. We conducted repeated qualitative interviews with distance learning participants at baseline, 6 months, and 12 months from September 2020 to July 2022. Three study team members coded interview data using individual responses as the unit of analysis. We used a thematic approach, using the information-motivation-behavioral skills framework, to analyze responses and generate understanding of the program's impact. The 27 individuals who participated in the interviews (89% women, mean age 56 years) reported the distance learning platform was effective in changing their behavior. The program's focus on food logging and setting limits on specific types of caloric intake was perceived as essential. Education on ideal levels of fat and sugar consumption, lessons on how to read food labels, and dissemination of recipes with healthy food substitutions allowed participants to initiate and sustain healthy decision-making. Strategies to increase physical activity, including breaking up exercise throughout the day, made reaching their goals more feasible. Participants reported food logging and weight reporting, as well as group support during sessions, either sustained or increased their motivation to adhere to the program over time. A workplace DPP delivered via distance learning successfully prompted improvements in the knowledge, motivation, and behavioral skills necessary to increase healthy eating and physical activity among participants.

Social Norms: A Missing Ingredient of Programs Seeking to Foster Women's Agency in Nutrition.

Social expectations play a crucial role in shaping dietary practices among women and children. However, despite significant attention to promoting social and behavioral change in nutrition-focused programs and research, the influence of social norms on women's agency in enhancing nutrition practices is often overlooked. In this perspective, we advocate for a paradigm shift by incorporating a "norms aware" approach. This underscores the importance of recognizing, measuring, and addressing the societal constraints and barriers that women and children encounter in their journey to improved nutrition. Drawing on insights from the United States Agency for International Development-funded Kulawa project in Niger, we highlight the implications of using social norms diagnosis tools to understand the contextual dynamics within child-feeding practices, informing intervention design, and targeted populations. Integrating a norms perspective into nutrition programming and research does not require an overhaul, but rather a nuanced application of understanding of contextual drivers, such as social norms and agency, that have been underemphasized. We delve into the role of the socio-ecologic system, underscore the importance of addressing power imbalances related to gender and social hierarchy, and emphasize that programs targeting norms should aim for community rather than individual-level change. We provide guidance for programs and research integrating a norms perspective, as well as examples of how tools, such as the Social Norms Exploration Tool and Social Norms Analysis Plot framework, can be applied to identify and prioritize social norms, facilitating the design of "norms aware" programs. Additionally, we highlight the critical role of community engagement and discuss the value of using qualitative and quantitative approaches to document the process and outcomes of social norms research, program design, and implementation. When we recognize the role of social norms in nutrition as a missing ingredient in nutrition research, programming, and social and behavior change strategies, we create opportunities for more effective and contextually relevant research and interventions that address the complexities of enhancing nutrition practices among women and children.

Feasibility and Engagement of a Mobile App Preparation Program (Kwit) for Smoking Cessation in an Ecological Context: Quantitative Study.

BACKGROUND: Mobile health apps can facilitate access to effective treatment and therapeutic information services. However, the real-world effectiveness of mobile apps for smoking cessation and their potential impact in everyday settings remain unclear. OBJECTIVE: In an ecological context, this study aimed to estimate the engagement rate of a mobile app-based smoking cessation preparation program and its potential impact on users' willingness, ability, and readiness to quit smoking. METHODS: A total of 2331 "organic users" (ie, users who discover and install a mobile app on their own, without any prompts) chose 1 of 2 program versions of the mobile app (Kwit): the basic version or the premium version. Both versions were identical in design, with 4 more evidence-based content items and strategies in the premium version. Outcomes were analyzed based on automated data registered in the app (engagement rate, motivation to quit, motivation type, motivation levels, and satisfaction level). Mann-Whitney and χ2 tests were used to compare the results of both groups. RESULTS: As expected, in the ecological context, a high dropout rate was observed at different moments. A significant difference was observed between the 2 versions (n=2331; χ21=5.4; P=.02), with a proportionally higher engagement rate in the premium version (premium=4.7% vs basic=2%). Likewise, differences were also observed between the 2 groups in terms of reasons to quit (n=2331; χ24=19; P≤.001; V=0.08), motivation type (n=2331; χ27=14.7; P=.04), and motivation level. Users of the app's premium version more frequently reported "well-being" (23.3% vs 17.9%) and "planning a pregnancy" (7.4% vs 4.4%) as their primary reasons for quitting smoking compared to those with the basic version. Moreover, they reported being more likely to be driven in the smoking cessation process by intrinsic motivation (premium=28% vs basic=20.4%), as well as feeling significantly more willing (z score=156,055; P≤.001; Cohen d=0.15), able (z score=172,905; P=.04; Cohen d=0.09), and ready (z score=166,390; P=.005; Cohen d=0.12) to stop smoking than users who had the basic version before completion of the preparation program. Among participants who finished each version of the program (premium: 9/189, 4.8%; basic: 47/2142, 2.19%), significant improvements in motivation levels were observed in both groups, although in different areas for each group (willingness levels for the premium group and ability for the basic group). CONCLUSIONS: These results suggest that even in ecological contexts where engagement rates are meager, the Kwit preparation program can address ambivalence by increasing willingness to change, self-confidence, and readiness to quit among its users, especially those who feel less able to do so. Further development and evaluations are needed to better understand determinants for regular mobile health apps.

Health Locus of Control and Medical Behavioral Interventions: Systematic Review and Recommendations.

BACKGROUND: Health locus of control (HLOC) is a theory that describes how individuals perceive different forces that influence their lives. The concept of a locus of control can affect an individual's likelihood to commit to behaviors related to their health. This study explores the literature on the relationships between HLOC and medical behavioral interventions. OBJECTIVE: This study aims to better understand how HLOC constructs can potentially affect patient responses to health behavioral interventions and to propose a series of guidelines for individuals interested in designing medical behavioral interventions related to HLOC. METHODS: We used the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology and performed an analysis of 50 papers related to the topic of HLOC and medical behavioral interventions. Inclusion criteria were studies that had a behavioral intervention involving patients and contained a metric of at least 1 of the constructs related to HLOC. The initial screening and search were conducted by 2 researchers (AY and SM) separately. The results were then combined and compared. RESULTS: Our findings explore the influence of different levels of HLOC along with the importance of both patient- and health-related context when assessing the relationships between HLOC constructs and the likelihood of health behavior change. The findings show that different constructs related to HLOC can act as reliable predictors for patient responses to medical behavioral interventions. Patients who score higher on internal HLOC measures are more likely to exhibit behaviors that are consistent with positive health outcomes. Patients who score higher on chance HLOC are more likely to exhibit behaviors that may lead to adverse health outcomes. These conclusions are supported by most of the 50 studies surveyed. CONCLUSIONS: We propose guidelines for individuals designing medical behavioral interventions so that they can make use of these relationships linked to HLOC. The three guidelines suggested are as follows: (1) in most situations, improving internal HLOC will improve health outcomes for patients; (2) patients with high external HLOC should be further studied to determine the source of the external HLOC; and (3) patients with a high chance HLOC are less likely to follow preventative behaviors or be responsive to interventions. Limitations of the study are that the primary search and analysis were conducted by 2 principal researchers (AY and SM). Interpretation and development of the guidelines are subject to individual interpretation of results and may not be applicable to all contexts.

Evaluating Experts' Consensus on Behavioral Principles.

Over the history of our field, scholars have emphasized the critical importance that behavioral principles play in applied behavior analysis, underlining their central position as the foundation on which the field is built. Therefore, behavior analysts must have a robust comprehension of behavioral principles to be conceptually systematic, starting with understanding what constitutes a behavioral principle. Although one might assume that the behavior analytical literature clearly identifies a set of basic principles that define our field, there is no generally agreed-upon list. This study aimed to get consensus from doctoral-level behavior analysts on what they viewed as the basic principles of behavior analysis. To do so, we created a list of terms from behavior analysis texts and surveyed participants to identify whether each term constituted a basic principle or a behavioral procedure. The results suggest that there is not good consensus on what constitutes behavioral principles among doctoral-level behavior analysts who completed the survey and that there may be differences in the views of faculty and nonfaculty behavior analysts. Potential contributing factors to these results are discussed. This survey study constitutes a first step in focusing behavior analysts on this important topic and starting a discussion that could further clarify the principles that define our field.

The Role of Positive Psychology in Lifestyle Medicine.

Lifestyle medicine leverages six pillars-a predominantly plant-based diet, physical activity, sleep, avoiding risky substance, stress management, and social connection. Facilitating behavior change represents the crux of success with each of these pillars. Positive emotions and positive psychology constructs are shown to drive behavior change in the upward spiral theory of lifestyle change. Moreover, positive psychology interventions serve as additional, independent protective health factors. This paper offers a brief review of the empirical evidence for these roles of positive psychology and makes the case for explicitly adding positive psychology to the foundational lifestyle medicine pillars.

Using Games to Simulate Medication Adherence and Nonadherence: Laboratory Experiment in Gamified Behavioral Simulation.

Background: Medical nonadherence is a significant problem associated with worse clinical outcomes, higher downstream rehospitalization rates, and a higher use of resources. To improve medication adherence, it is vital for researchers and practitioners to have a solid theoretical understanding of what interventions are likely to work. To achieve this understanding, we propose that researchers should focus on creating small-scale laboratory analogs to the larger real-world setting and determine what interventions, such as nudges or incentives, work to change behavior in the laboratory. To do this, we took inspiration from the literature on serious games and gamification and experimental economics. We call our approach "gamified behavioral simulation." In this paper, we modeled everyday life as the state of being engaged in a simple but addictive game, illness as being interruptions to the functionality of that game, treatment as being a series of actions that can be taken to prevent or mitigate those interruptions, and adherence as sticking to a prescribed rule for the application of those actions. Objective: This study carries out a behavioral diagnosis of the medication adherence problem through a theoretically informed framework and then develops the gamified behavioral modeling approach to simulate medication nonadherence. Methods: A laboratory experiment was conducted using a modified popular and addictive open-source video game called "2048," which created an abstract model for the medication adherence behavior observed in real life. In total, 509 participants were assigned to the control and 4 intervention groups ("incentive" group, "reminder" group, "commitment device" group, and "elongated duration for symptoms" group). Results: The results of the modeling experiment showed that having theoretically informed interventions can increase the likelihood for them to be successful. In particular, there is evidence that the use of reminders improves the medication adherence rates for patients, and the same result was found in the modeling experiment, as they improved adherence significantly by 23% (95% CI -33.97% to -11.72%; P<.001). However, providing an incentive did not improve the adherence rate. We also tested the use of commitment devices, which, in line with real-world evidence, did not improve adherence rates. The fourth treatment tested elongated duration for symptoms, which attempted to show the power of modeling experiments where we test a what-if scenario that is extremely difficult to test in a real setting. The results indicated that if symptoms last longer, people did not adhere more to their medication regimen. Conclusions: Gamified behavioral simulation is a useful tool to explain real health behaviors and help in identifying which interventions are most likely to work in a randomized trial.

Digital therapeutics in hypertension: How to make sustainable lifestyle changes.

Various digital therapeutic products have been validated and approved since 2017. They have demonstrated efficacy and safety as a new therapeutic modality in various disorders or conditions. Hypertension is a common but serious condition that can be prevented or controlled with lifestyle changes and medicines. Although a digital therapeutic in hypertension is validated and approved in Japan, whether digital therapeutics (DTx) can significantly improve sustainable lifestyle changes is still a controversial topic. Most studies did not discuss the long-term gain challenges. In this review, the authors discuss the definition of DTx, and analyze the motivation, engagement and adherence challenges of DTx in hypertension. Some ongoing artificial intelligence (AI)-enabled or cognitive behavioral therapy (CBT)-based digital interventions and behavioral strategies for implementing sustainable lifestyle changes are identified and analyzed. With AI-enabled interventions and behavioral strategies, DTx might be one of the effective approaches to make sustainable lifestyle changes.

Engagement, Acceptability, and Effectiveness of the Self-Care and Coach-Supported Versions of the Vira Digital Behavior Change Platform Among Young Adults at Risk for Depression and Obesity: Pilot Randomized Controlled Trial.

BACKGROUND: Adolescence and early adulthood are pivotal stages for the onset of mental health disorders and the development of health behaviors. Digital behavioral activation interventions, with or without coaching support, hold promise for addressing risk factors for both mental and physical health problems by offering scalable approaches to expand access to evidence-based mental health support. OBJECTIVE: This 2-arm pilot randomized controlled trial evaluated 2 versions of a digital behavioral health product, Vira (Ksana Health Inc), for their feasibility, acceptability, and preliminary effectiveness in improving mental health in young adults with depressive symptoms and obesity risk factors. METHODS: A total of 73 participants recruited throughout the United States were randomly assigned to use Vira either as a self-guided product (Vira Self-Care) or with support from a health coach (Vira+Coaching) for 12 weeks. The Vira smartphone app used passive sensing of behavioral data related to mental health and obesity risk factors (ie, activity, sleep, mobility, and language patterns) and offered users personalized insights into patterns of behavior associated with their daily mood. Participants completed self-reported outcome measures at baseline and follow-up (12 weeks). All study procedures were completed via digital communications. RESULTS: Both versions of Vira showed strong user engagement, acceptability, and evidence of effectiveness in improving mental health and stress. However, users receiving coaching exhibited more sustained engagement with the platform and reported greater reductions in depression (Cohen d=0.45, 95% CI 0.10-0.82) and anxiety (Cohen d=0.50, 95% CI 0.13-0.86) compared to self-care users. Both interventions also resulted in reduced stress (Vira+Coaching: Cohen d=-1.05, 95% CI -1.57 to --0.50; Vira Self-Care: Cohen d=-0.78, 95% CI -1.33 to -0.23) and were perceived as useful and easy to use. Coached users also reported reductions in sleep-related impairment (Cohen d=-0.51, 95% CI -1.00 to -0.01). Moreover, participants increased their motivation for and confidence in making behavioral changes, with greater improvements in confidence among coached users. CONCLUSIONS: An app-based intervention using passive mobile sensing to track behavior and deliver personalized insights into behavior-mood associations demonstrated feasibility, acceptability, and preliminary effectiveness for reducing depressive symptoms and other mental health problems in young adults. Future directions include (1) optimizing the interventions, (2) conducting a fully powered trial that includes an active control condition, and (3) testing mediators and moderators of outcome effects. TRIAL REGISTRATION: ClinicalTrials.gov NCT05638516; https://clinicaltrials.gov/study/NCT05638516.

Neural Conversational Agent for Weight Loss Counseling: Protocol for an Implementation and Feasibility Study.

BACKGROUND: Obesity is a common, serious and costly chronic disease. Current clinical practice guidelines recommend that providers augment the longitudinal care of people living with obesity with consistent support for the development of self-efficacy and motivation to modify their lifestyle behaviors. Lifestyle behavior change aligns with the goals of motivational interviewing (MI), a client-centered yet directive counseling modality. However, training health care providers to be proficient in MI is expensive and time-consuming, resulting in a lack of trained counselors and limiting the widespread adoption of MI in clinical practice. Artificial intelligence (AI) counselors accessible via the internet can help circumvent these barriers. OBJECTIVE: The primary objective is to explore the feasibility of conducting unscripted MI-consistent counseling using Neural Agent for Obesity Motivational Interviewing (NAOMI), a large language model (LLM)-based web app for weight loss counseling. The secondary objectives are to test the acceptability and usability of NAOMI's counseling and examine its ability to shift motivational precursors in a sample of patients with overweight and obesity recruited from primary care clinics. METHODS: NAOMI will be developed based on recent advances in deep learning in four stages. In stages 1 and 2, NAOMI will be implemented using an open-source foundation LLM and (1) few-shot learning based on a prompt with task-specific instructions and (2) domain adaptation strategy based on fine-tuning LLM using a large corpus of general psychotherapy and MI treatment transcripts. In stages 3 and 4, we will refine the best of these 2 approaches. Each NAOMI version will be evaluated using a mixed methods approach in which 10 adults (18-65 years) meeting the criteria for overweight or obesity (25.0≥BMI≤39.9) interact with NAOMI and provide feedback. NAOMI's fidelity to the MI framework will be assessed using the Motivational Interviewing Treatment Integrity scale. Participants' general perceptions of AI conversational agents and NAOMI specifically will be assessed via Pre- and Post-Interaction Questionnaires. Motivational precursors, such as participants' confidence, importance, and readiness for changing lifestyle behaviors (eg, diet and activity), will be measured before and after the interaction, and 1 week later. A qualitative analysis of changes in the measures of perceptions of AI agents and counselors and motivational precursors will be performed. Participants will rate NAOMI's usability and empathic skills post interaction via questionnaire-based assessments along with providing feedback about their experience with NAOMI via a qualitative interview. RESULTS: NAOMI (version 1.0) has been developed. Participant recruitment will commence in September 2024. Data collection activities are expected to conclude in May 2025. CONCLUSIONS: If proven effective, LLM-based counseling agents can become a cost-effective approach for addressing the obesity epidemic at a public health level. They can also have a broad, transformative impact on the delivery of MI and other psychotherapeutic treatment modalities extending their reach and broadening access. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/60361.

Why Do People Choose to Enroll or Not Enroll in the National Diabetes Prevention Program Lifestyle Change Program? A Mixed-Methods Analysis From a Sample of Adults With a Prediabetes Diagnosis.

INTRODUCTION: The Diabetes Prevention Program (DPP) is effective; enrollment is low. Little research has examined factors driving individuals' enrollment decisions. METHODS: In our final survey of a randomized trial comparing methods to increase enrollment in the DPP, we asked participants about factors impacting enrollment. We conducted interviews with a subgroup. RESULTS: Participants who completed the survey (n = 299) were primarily female (96 male); middle-aged (mean 52.9, SD = 14.7); white (86%); non-Hispanic (85%). Only 19% reported awareness of the DPP prior to the study. Cost, online availability, and behavior-change motivation were the most highly rated factors influencing enrollment. The median amount participants were willing to pay for the program was $66.50. Phone interviews included 17 individuals who were/were not interested in receiving a referral to the DPP. Those interested described risk awareness, family history, social support, and healthcare-provider influence as facilitating enrollment. Cost, time, travel, unsupportive family, incomplete knowledge about the program's impact and low self-efficacy were barriers. Among those uninterested, some were already engaging in lifestyle change, and some didn't see a benefit. CONCLUSIONS: Results suggest that, even among high-risk individuals, efforts to increase awareness and benefits of the DPP are needed, as are efforts to address cost of enrollment and low motivation. TRIAL REGISTRATION: ClinicalTrials.gov protocol ID: 00132307. The Effect of 360 Video and MAPS on Enrollment in the DPP. URL: https://www.clinicaltrials.gov/study/NCT04746781?id=00132307&rank=1.

Intervening to reduce sedentary behavior among African American elders: the "Stand Up and Move More" intervention.

Background: Reducing sedentary behavior is a promising intervention target for improving health for older adults; however, few interventions include African American communities. The purpose of this research was to extend the reach of an effective sedentary behavior intervention to African American elders. Methods: Two pilot studies assessed the feasibility (retention, adherence, and safety) and acceptability (participant and leader perspectives) of a 4-wk "Stand Up and Move More" (SUMM) intervention. Sedentary behavior (self-reported and monitor-derived), function (short physical performance battery), and quality of life (SF-36) were measured at baseline (wk0), postintervention (wk4), and follow up (wk12; study 1) to examine preliminary effectiveness of the intervention. Participants (N=26) attended SUMM or an attention-matched stress management intervention (study 2). The magnitude of treatment effects were determined using Hedge's g effect size calculations [small (g=0.20 to 0.49), moderate (g=0.50 to 0.79), large (g>0.80)]. Results: Retention and adherence rates ranged from 50%-100% and 80%-100%, respectively. There were no adverse events. Participants expressed high satisfaction, and the leader of the SUMM intervention indicated that the intervention content was beneficial. Hedges' g revealed negligible to small changes in sedentary behavior (g<0.50) following SUMM. There were moderate to large improvements in function (g=0.51-0.82) and quality of life (g=0.54-1.07) from wk0 to wk4 in study 1; and moderate to large improvements in function (g=0.51-0.88) from wk0 to wk4 in study 2. There was a moderate improvement in quality of life (SF-36 emotional role limitations g=0.54) in the SUMM group only. Conclusion: Given its feasibility, safety, and acceptability, SUMM may be a promising intervention to improve functioning and well-being among African American elders.

The self-efficacy for regular meditation practice scale (SERMS): Development and psychometric validation.

The health benefits of meditation are well-documented, yet people struggle to practice regularly. Domain-specific self-efficacy is an important modifiable driver of health behavior change that is poorly understood in the meditation context. As such, the present study developed the Self-Efficacy for Regular Meditation Practice Scale (SERMS) assessing confidence in one's capacity to meditate frequently and in a way that favorably impacts well-being, including securing the psychological, social, and structural supports needed for ongoing practice. Participants provided online survey data at baseline and 1-week follow-up. Exploratory factor analyses were conducted (n = 249) followed by confirmatory factor analysis (n = 249). A three-factor structure best fit the data, with subscales measuring self-efficacy to benefit from meditation, persist in meditation, and obtain teacher and community support. Validity and test-retest reliability coefficients supported the SERMS as a promising measure of self-efficacy for meditation that may further research on meditation behavior adoption.

Mind the intention-behavior gap: a qualitative study of post-myocardial infarction patients' beliefs and experiences with long-term supervised and self-monitored physical exercise.

BACKGROUND: Many post-myocardial infarction (MI) patients struggle with physical activity behavior change (BC) for life-long secondary prevention. There is limited knowledge about factors influencing long-term physical activity BC among post-MI patients. This qualitative study aimed to explore the beliefs and experiences related to post-MI patients' physical activity BC process following a year's participation in a supervised and self-monitored exercise program: the Norwegian Trial of Physical Exercise After MI (NorEx). METHODS: We conducted a qualitative study, performing in-depth semi-structured interviews with a randomly selected sample of NorEx participants when they were scheduled for cardiopulmonary exercise testing after one year of participation. Interviews were transcribed verbatim and the data was analyzed by applying reflexive thematic analysis. RESULTS: Seventeen participants (n = 4 female [24%]; median age, 61 years; median time since index MI, 4 years) were recruited and interviewed once. Analysis resulted in four main themes (nine sub-themes): (1) Personal responsibility to exercise (Exercise is safe, Health benefits, Habitual exercise); (2) Peer social support for a sense of safety and belonging (Social exercise, Supervision is preferred); (3) Research participation transformed exercise beliefs (High-intensity exercise is superior, Personal Activity Intelligence (PAI) promotes exercise adherence); and (4) Mind the intention-behavior gap (Initial anxiety, Lack of continued follow-up). CONCLUSIONS: Several participants reported that they were able to maintain exercise BC during a year's participation in NorEx. Nevertheless, a perceived lack of continued and individualized follow-up made some participants struggle with motivation and self-regulation, leading to an intention-behavior gap. Therefore, our findings suggest there is a need for individualized and continued social support and supervision from health and exercise professionals to maintain long-term exercise BC for secondary prevention among post-MI patients. TRIAL REGISTRATION: The NorEx study has been registered at ClinicalTrials.gov (NCT04617639, registration date 2020-10-21).

Time-Use Sequences: A Mixed-Methods Study Exploring How, When, and Where Spatiotemporal Patterns of Everyday Routines Can Strengthen Public Health Interventions.

BACKGROUND: Behavior change interventions are critical for the secondary prevention of cardiovascular disease and for reducing the risk of a repeat event or mortality. However, the effectiveness of behavior change interventions is challenged by a lack of spatiotemporal contexts, limiting our understanding of factors that influence the timing and location in which day-to-day activities occur and the maintenance of behavior change. This study explored how behavior change interventions could incorporate spatiotemporal contexts of patient activities for modifying behaviors. METHODS: A mixed-methods approach with adapted geo-ethnography techniques was used to solicit detailed descriptions of patients' day-to-day routines, including where, when, and how patients spend time. Data were gathered from patients in one cardiac intervention program in Nova Scotia, Canada, from June to September 2021. RESULTS: A total of 29 individuals (19 men and 10 women) between the ages of 45 and 81 and referred to the program after a cardiac event participated. The results show three key findings: (1) most patients exceeded the minimum guidelines of 30 min of daily physical activity but were sedentary for long periods of time, (2) patient time-use patterns are heterogenous and unique to contexts of individual space-time activity paths, and (3) time-use patterns reveal when, where, and how patients spend significant portions of time and opportunities for adapting patients' day-to-day health activities. CONCLUSIONS: This study demonstrates the potential for interventions to integrate tools for collecting and communicating spatial and temporal contexts of patient routines, such as the types of activities that characterize how patients spend significant portions of time and identification of when, where, and how to encourage health-promoting changes in routine activities. Time-use patterns provide insight for tailoring behavior change interventions so that clinic-based settings are generalizable to the contexts of where, when, and how patient routines could be adapted to mitigate cardiovascular risk factors.

The Usability and Feasibility of a Dietary Intake Self-Monitoring Application in a Population with Varying Literacy Levels.

OBJECTIVES: Our aim was to study how hemodialysis patients with varying levels of literacy would use a diet and fluid intake monitoring mobile application (DIMA-P) and what would be its impact on their dietary behaviors. MATERIALS AND METHODS: We developed a mobile application using user-centered methods and informed by the Integrated Theory of Health Behavior Change (ITHBC). Eight hemodialysis patients were recruited to use the application to record and monitor their diet and fluid intakes for a 6-week study. Overall, the participants had low literacy, numeracy, and technical skills. We collected the data on application usage and administered usability and context-of-use questionnaires to gain insights into the participants' interaction with the application. The participants' portion estimation skills and dietary self-regulation self-efficacy were assessed using various tests. In addition, interdialytic weight gain data were collected to assess the impact of app usage on the participants' health outcomes. RESULTS: The application usage patterns varied, with a general trend towards frequent use (n = 5) correlating with engagement in self-monitoring. The participants gave high comprehensibility, user-friendliness, satisfaction, and usefulness ratings, suggesting that the app was well designed and the target users could easily navigate and interact with the features. While the participants improved in estimating portion sizes, the impact on measuring skills was variable. There was also an improvement in the participants' dietary self-regulation self-efficacy post-study. The interdialytic weight gain trends indicated a slight improvement in fluid and diet management. CONCLUSION: People with different literacy skills can effectively use icon-based interfaces for portion size estimation and develop personalized usage patterns to self-regulate their fluid and dietary intakes. Moreover, they can experience an enhancement in their dietary self-efficacy skills by using a mobile application aimed at providing nutritional feedback. Furthermore, this research shows that the constructs of the ITHBC are effective in promoting dietary behavior change in a population with varying literacy skills. The target users can benefit from explicitly visualizing the relationship between their health outcomes and the factors influencing those outcomes. These user ambitions could be supported by developing machine learning models. Future research should also focus on enhancing the mechanisms by which technology can further enhance each component of the ITHBC framework.