Associations Between Psychological Factors and Adherence to Health Behaviors After Percutaneous Coronary Intervention: The Role of Cardiac Rehabilitation.

BACKGROUND: Cardiac rehabilitation (CR) participation after percutaneous coronary intervention (PCI) for coronary heart disease lowers the disease burden and risk of recurrent cardiac events. Examining psychological factors may improve post-PCI health behavior adherence. PURPOSE: To determine whether psychological factors are associated with post-PCI health behavior adherence, and the role of CR participation. METHODS: Data from 1,682 patients (22.1% female, Mage = 64.0, SDage = 10.5 years) from the THORESCI cohort were included. Adjusted mixed models were used to examine associations between psychological factors and the 1-year course of health behaviors, using interactions to test for moderation by CR participation. RESULTS: Psychological factors were associated with the trajectories of adherence to medical advice, exercise, and diet. The strongest association found was between optimism and the trajectory of dietary adherence (B: = -0.09, p = .026). Patients with high optimism levels had a worse trajectory of dietary adherence compared to patients with low to middle optimism levels. Participation in CR buffered the associations of high anxiety, pessimism, and low to middle resilience, but strengthened the associations of high stress in the past year with the probability of smoking. CONCLUSIONS: Psychological factors are associated with post-PCI health behavior adherence, but the pattern of associations is complex. Patients with high levels of anxiety, pessimism, and low to middle resilience levels may disproportionately benefit from CR. Cardiac rehabilitation programs could consider this to improve post-PCI health behavior adherence. CLINICAL TRIALS REGISTRATION #: NCT02621216.

For patients with coronary heart disease who have undergone percutaneous coronary intervention (PCI), participating in cardiac rehabilitation (CR) reduces the disease burden and the risk of future cardiac events. However, adherence to the health behaviors targeted in CR could be improved. Using data from 1,682 patients included in the THORESCI study, we explored whether psychological factors could predict health behavior adherence and the role of participation in CR. Results revealed that psychological factors were linked to adherence to medical advice, exercise, and diet. Overall, patients with low to moderate optimism levels exhibited more favorable changes in healthy dietary habits than patients with high levels of optimism. Participation in CR made the link between high anxiety, pessimism, low to moderate resilience, and lower adherence to health behaviors less strong. Cardiac rehabilitation programs could use these results to enhance the health behavior adherence of patients who have undergone PCI.

Effectiveness of multiple health behavior change interventions in reducing symptoms of anxiety in the adult population: A systematic review and meta-analysis of randomized controlled trials.

There is limited evidence regarding the effectiveness of preventive interventions for anxiety disorders. We aim to test the effectiveness of multiple health behavior change (MHBC) interventions in the reduction of symptoms of anxiety in the adult population. A systematic review and meta-analysis of randomized controlled trials (RCTs) was conducted by searching the most relevant databases and registry platforms in the area. Reference lists of included articles and relevant systematic reviews and meta-analyses of MHBC interventions that examined anxiety or depression as outcomes were also manually searched. To identify RCTs that evaluated preventive interventions, we excluded studies in which the target population included only patients meeting the diagnostic criteria for anxiety disorders. To pool results, the standardized mean difference (SMD) was calculated using the random effects model. Sensitivity, subgroup and meta-regression analyses were performed. Forty-six RCTs were included in the qualitative synthesis, and 34 RCTs were included in the meta-analysis. Thirty RCTs were focused on promoting healthy diet and physical activity, whereas the other 16 studies also focused on smoking cessation. The pooled SMD was small (-0.183; 95% CI -0.276 to -0.091) but significant (p < 0.001). The effect became non-significant when only studies with a low risk of bias were included. There was substantial and significant heterogeneity between the studies. There is currently insufficient evidence regarding the effectiveness of MHBC interventions to reduce symptoms of anxiety in the adult population.

Effect of behavior change communication through the health development army on birth weight of newborns in Ambo district, Ethiopia: a cluster randomized controlled community trial.

BACKGROUND: Poor behavior change communication on maternal nutrition and health throughout pregnancy is thought to be to blame for Ethiopia's high rate of low birthweight babies, and this has implications for neonatal morbidity and mortality. The effect of behavior change communication on birth weight in the study district was not examined. This study was to determine whether improving neonatal birthweight using nutrition and health behavior change communication (NHBCC) interventions was successful. METHODS: A cluster randomized controlled trial was conducted in the Ambo district of Ethiopia from May 5, 2018-January 30, 2019. At the beginning of the study, 385 women in the 24 intervention groups and 385 women in the 24 control groups were recruited. In the intervention group, health development armies delivered the NHBCC core message every two weeks for four months by grouping pregnant women in specific clusters. Pregnant women in the control group received the routine treatment offered by the healthcare system during their ANC visits. Within 24 h of birth, the birthweights of 302 and 292 neonates in the intervention and control groups, respectively, were measured at the end point of the study. A binary generalized linear model analysis was employed. RESULT: The control group had a larger absolute risk of neonates with low birthweight (0.188 vs. 0.079, p < 0.001) than the intervention group. Pregnant women in the intervention group had an absolute risk difference of 10.9% for low birthweight. Pregnant women who received the intervention were 62% less likely to have low-risk birthweight compared to pregnant women who were in the control group (ARR = 0.381, 95% CI: 0.271-0.737). CONCLUSION: Nutrition and health behavior change Communication by health development armies improves birthweight. The findings demonstrated that to improve birthweight, NHBCC must be administered to pregnant women in groups via health development armies in their communities. TRIAL REGISTRATION NUMBER: PACTR201805003366358.

What it takes to reduce sitting at work: a pilot study on the effectiveness and correlates of a multicomponent intervention.

OBJECTIVE: This study aimed to assess the feasibility and effects of a simple-to-implement multicomponent intervention to reduce sedentary time of office workers. METHODS: Six groups of eight to ten office workers took part in the two-week Leicht Bewegt intervention. Participants completed questionnaires at baseline (T0, n = 52), after 2 weeks (T1, n = 46), and after 5 weeks (T2, n = 38), including subjective sedentary measures and social-cognitive variables based on the health action process approach (HAPA). Objective sedentary measures were obtained using activPAL trackers. RESULTS: The intention to reduce sedentary behavior during work increased significantly from T0 to T1. Participants' objective and subjective sitting time decreased significantly from T0 to T1, corresponding to an average decrease per 8-h-workday of 55 min (d = - .66) or 74 min (d = - 1.14), respectively. This reduction persisted (for subjective sitting time) at T2 (d = - 1.08). Participants indicated a high satisfaction with the intervention. CONCLUSIONS: The Leicht Bewegt intervention offers a feasible and effective opportunity to reduce sedentary behavior at work. Randomized controlled trials including longer follow-up time periods are needed to validate its benefits in different workplaces.

The moderating effect of access to food facilities and recreational activity space on mHealth multiple health behavior change intervention.

OBJECTIVE: To evaluate whether the neighborhood social and built environment moderates response to a mobile health multiple health behavior change intervention targeting fruit/vegetable intake, sedentary behavior, and physical activity. METHODS: Participants were 156 Chicago-residing adults with unhealthy lifestyle behaviors. Using linear mixed models, we evaluated whether access to food facilities (fast food restaurants and grocery stores) and recreational activity spaces (gyms and parks) moderated the difference in behavior change between the active intervention condition relative to control. Using spatial data analysis (cross K functions), we also assessed whether participants who achieved goal levels of behaviors ("responders") were more or less likely than those who did not achieve intervention goals ("non-responders") to reside near fast food restaurants, grocery stores, gyms, or parks. RESULTS: According to linear mixed models, none of the neighborhood social and built environment factors moderated the difference in behavior change between the active intervention condition and the control condition (Likelihood Ratio (χ²[1] = 0.02-2.33, P-values > 0.05). Cross K functions showed that diet behavior change responders were more likely than non-responders to reside near fast food restaurants, but not grocery stores. The results for activity behavior change were more variable. Sedentary screen time responders were more likely to reside around recreational activity spaces than non-responders. Moderate-vigorous physical activity responders had greater and lesser clustering than non-responders around parks, dependent upon distance from the park to participant residence. CONCLUSIONS: A complex relationship was observed between residential proximity to Chicago facilities and response to multiple health behavior change intervention. Replication across diverse geographic settings and samples is necessary.

Engagement and Use of a Blended mHealth Intervention for Health Behavior Change.

BACKGROUND: Blended mHealth interventions (mHealth interventions including a facilitator) promote user engagement and increase effectiveness of health behavior change interventions. Little is known about how blended mHealth interventions are used outside the research context. METHODS: In the present work, we characterized patterns of app use among users of a blended mHealth intervention in real-world conditions. Program users were Veterans Health Administration (VHA) primary care patients (n = 56) who received an invite code for a blended mHealth intervention between 2019 and 2021. Cluster analysis was used to examine user engagement with health coach visits and program features. RESULTS: Of patients who received an invite code, 34% initiated the program. Most users were men (63%) and white (57%). The mean number of health conditions was 5 (68% with obesity). The mean age was 55. Cluster analysis suggested that most users did sustain engagement at either moderate (57%) or very high levels (13%). The remaining 30% of users were low engaged users. Users completing any health coach visit (about half) reported more overall engagement than their counterparts who did not. Weight was the most frequently tracked metric. Of users entering weights in the first and last month of the program (n = 18), the mean percent body weight change was 4.0% (SD = 3.6). CONCLUSIONS: A blended mHealth intervention may be a scalable option to extend the reach of health behavior change interventions for those that use it. However, a significant portion of users do not initiate these interventions, choose not to use the health coach feature, or engage at lower levels. Future research should examine the role of health coaching visits in promoting sustained engagement.

Assessing the Effectiveness of eHealth Interventions to Manage Multiple Lifestyle Risk Behaviors Among Older Adults: Systematic Review and Meta-Analysis.

BACKGROUND: Developing adverse lifestyle behaviors increases the risk of a variety of chronic age-related diseases, including cardiovascular disease, obesity, and Alzheimer disease. There is limited evidence regarding the effectiveness of eHealth-based multiple health behavior change (MHBC) interventions to manage lifestyle risk behaviors. OBJECTIVE: The purpose of this systematic evaluation was to assess the effectiveness of eHealth MHBC interventions in changing ≥2 major lifestyle risk behaviors in people aged ≥50 years. METHODS: The literature search was conducted in 6 electronic databases-PubMed, Embase, Web of Science, Scopus, Cochrane Library, and SPORTDiscus-from inception to May 1, 2024. Eligible studies were randomized controlled trials of eHealth interventions targeting ≥2 of 6 behaviors of interest: alcohol use, smoking, diet, physical activity (PA), sedentary behavior, and sleep. RESULTS: A total of 34 articles with 35 studies were included. eHealth-based MHBC interventions significantly increased smoking cessation rates (odds ratio 2.09, 95% CI 1.62-2.70; P<.001), fruit intake (standardized mean difference [SMD] 0.18, 95% CI 0.04-0.32; P=.01), vegetable intake (SMD 0.17, 95% CI 0.05-0.28; P=.003), self-reported total PA (SMD 0.22, 95% CI 0.02-0.43; P=.03), and objectively measured moderate to vigorous PA (SMD 0.25, 95% CI 0.09-0.41; P=.002); in addition, the interventions decreased fat intake (SMD -0.23, 95% CI -0.33 to -0.13; P<.001). No effects were observed for alcohol use, sedentary behavior, or sleep. A sensitivity analysis was conducted to test the robustness of the pooled results. Moreover, the certainty of evidence was evaluated using the GRADE (Grading of Recommendations Assessment, Development, and Evaluation) framework. CONCLUSIONS: eHealth-based MHBC interventions may be a promising strategy to increase PA, improve diet, and reduce smoking among older adults. However, the effect sizes were small. Further high-quality, older adult-oriented research is needed to develop eHealth interventions that can change multiple behaviors. TRIAL REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews CRD42023444418; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023444418.

Comprehensive lifestyle modification interventions for metabolic syndrome: A systematic review and meta-analysis.

INTRODUCTION: Previous systematic reviews and meta-analyses have mainly focused on improvements in the number of metabolic syndrome risk factors and individual changes in each risk factor, making it challenging to examine the impact of comprehensive lifestyle modification interventions on adherence to recommended health behaviors. To address this gap, we conducted a systematic and meta-analysis aimed at identifying clinical parameter levels associated with lifestyle modification outcomes and adherence to recommended health behaviors for individuals with metabolic syndrome. METHODS: A total of seven studies retrieved from four databases (CINAHL, Medline via PubMed, American Psychological Association PsycINFO, and Embase) were included in the review. The selected studies, which demonstrated improvements in health behaviors, all included diet and exercise as main factors of comprehensive lifestyle modification in home settings. RESULTS: Our findings suggest that a 6-month comprehensive intervention including diet and exercise can be effective in decreasing glucose levels and systolic blood pressure. However, given the limited available data, further studies investigating the efficacy of interventions of varying durations are needed. DISCUSSION: Although our review included a small number of studies, comprehensive lifestyle modifications consisting of at least two components (primarily diet and exercise) can improve health behaviors and some clinical parameters among individuals with metabolic syndrome. Future studies are needed to investigate the long-term effects of lifestyle modifications on health behavior adherence and explore effective interventions to address certain clinical parameters, such as high-density lipoprotein levels. Also, we recommend using objective and quantifiable measure to compare adherence to recommended lifestyle modifications across studies. CLINICAL RELEVANCE: This research provides empirical evidence of the effectiveness of comprehensive lifestyle modification and emphasizes the need to develop long-term nursing strategies in public health that can be used to effectively manage metabolic syndrome.

Using Positive Psychology to Address Emotional Barriers to Physical Activity After Bariatric Surgery: Proof-of-Concept Trial of the Gaining Optimism After Weight Loss Surgery (GOALS) Project.

Physical activity promotes health and longevity after metabolic/bariatric surgery (MBS), but most patients do not meet recommended levels. The Gaining Optimism After weight Loss Surgery (GOALS) Project was a positive psychological intervention designed to address common emotional barriers to physical activity in patients who have recently undergone MBS (e.g., low confidence around exercise, internalized weight bias, fear of injury) and use motivational interviewing and standard behavior change techniques (e.g., self-monitoring) to increase physical activity. This single-arm proof-of-concept trial was designed to refine the intervention, test feasibility and acceptability, and explore pre-post changes in behavioral and psychological outcomes. Participants were 12 adults 6-12 months post-MBS (M age of 46, 58% female, 67% non-Hispanic white). GOALS was a 10-week telephone counseling program that introduced new positive psychological skills and physical activity topics each week. Participants tracked physical activity with a Fitbit and set weekly goals. Results showed that the intervention was feasible (85% of sessions completed) and acceptable (average participant ratings of session ease and utility above 8.0 on a 0-10 scale). There were medium-to-large effect size improvements in physical activity and psychological well-being (e.g., depressive symptoms). The GOALS intervention will next be tested in a pilot randomized controlled trial with longer-term follow-up to assess its effect more robustly.

Leveraging Mobile Technology for Public Health Promotion: A Multidisciplinary Perspective.

Health behaviors are inextricably linked to health and well-being, yet issues such as physical inactivity and insufficient sleep remain significant global public health problems. Mobile technology-and the unprecedented scope and quantity of data it generates-has a promising but largely untapped potential to promote health behaviors at the individual and population levels. This perspective article provides multidisciplinary recommendations on the design and use of mobile technology, and the concomitant wealth of data, to promote behaviors that support overall health. Using physical activity as anexemplar health behavior, we review emerging strategies for health behavior change interventions. We describe progress on personalizing interventions to an individual and their social, cultural, and built environments, as well as on evaluating relationships between mobile technology data and health to establish evidence-based guidelines. In reviewing these strategies and highlighting directions for future research, we advance the use of theory-based, personalized, and human-centered approaches in promoting health behaviors.

Activation Versus Change as a Principle Underlying Intervention Strategies to Promote Health Behaviors.

BACKGROUND AND PURPOSE: Interventions are effective in promoting health behavior change to the extent that (a) intervention strategies modify targets (i.e., mechanisms of action), and (b) modifying targets leads to changes in behavior. To complement taxonomies that characterize the variety of strategies used in behavioral interventions, we outline a new principle that specifies how strategies modify targets and thereby promote behavior change. We distinguish two dimensions of targets-value (positive vs. negative) and accessibility (activation level)-and show that intervention strategies operate either by altering the value of what people think, feel, or want (target change) or by heightening the accessibility of behavior-related thoughts, feelings, and goals (target activation). METHODS AND RESULTS: We review strategies designed to promote target activation and find that nudges, cue-reminders, goal priming, the question-behavior effect, and if-then planning are each effective in generating health behavior change, and that their effectiveness accrues from heightened accessibility of relevant targets. We also identify several other strategies that may operate, at least in part, via target activation (e.g., self-monitoring, message framing, anticipated regret inductions, and habits). CONCLUSIONS: The Activation Vs. Change Principle (AVCP) offers a theoretically grounded and parsimonious means of distinguishing among intervention strategies. By focusing on how strategies modify targets, the AVCP can aid interventionists in deciding which intervention strategies to deploy and how to combine different strategies in behavioral trials. We outline a research agenda that could serve to further enhance the design and delivery of interventions to promote target activation.

Short sleep duration and interest in sleep improvement in a multi-ethnic cohort of diverse women participating in a community-based wellness intervention: an unmet need for improvement.

BACKGROUND: Disparities in sleep duration are a modifiable contributor to increased risk for cardiometabolic disorders in communities of color. We examined the prevalence of short sleep duration and interest in improving sleep among a multi-ethnic sample of women participating in a culturally tailored wellness coaching program and discussed steps to engage communities in sleep health interventions. METHODS: Secondary analysis of data from a randomized trial were used. The wellness coaching trial utilized a Community-Based Participatory Research (CBPR) approach. Data were from the baseline survey and baseline wellness coaching notes. Short sleep duration was defined as < 7 h of self-reported sleep. Participants were prompted to set a goal related to healthy eating/physical activity and had the opportunity to set another goal on any topic of interest. Those who set a goal related to improving sleep or who discussed a desire to improve sleep during coaching were classified as having an interest in sleep improvement. Analyses utilized multivariable models to evaluate factors contributing to short sleep and interest in sleep improvement. We present our process of discussing results with community leaders and health workers. RESULTS: A total of 485 women of color participated in the study. Among these, 199 (41%) reported short sleep duration. In adjusted models, Blacks/African Americans and Native Hawaiians/Pacific Islanders had higher odds of reporting < 7 h of sleep than Hispanics/Latinas. Depression symptoms and self-reported stress management scores were significantly associated with short sleep duration. Interest in sleep improvement was noted in the wellness coaching notes of 52 women (10.7%); sleep was the most common focus of goals not related to healthy eating/physical activity. African Immigrants/Refugees and African Americans were less likely to report interest in sleep improvement. Community leaders and health workers reported lack of awareness of the role of sleep in health and discussed challenges to obtaining adequate sleep in their communities. CONCLUSION: Despite the high prevalence of short sleep duration, interest in sleep improvement was generally low. This study highlights a discrepancy between need and interest, and our process of community engagement, which can inform intervention development for addressing sleep duration among diverse women.

Implementing text-messaging to support and enhance delivery of health behavior change interventions in low- to middle-income countries: case study of the Lifestyle Africa intervention.

The prevalence of non-communicable diseases, such as diabetes and cardiovascular disease, is rising in low- and middle-income countries (LMICs). Health behavior change (HBC) interventions such as the widely used Diabetes Prevention Program (DPP) are effective at reducing chronic disease risk, but have not been adapted for LMICs. Leveraging mobile health (mHealth) technology such as text messaging (SMS) to enhance reach and participant engagement with these interventions has great promise, yet we lack evidence-informed approaches to guide the integration of SMS specifically to support HBC interventions in LMIC contexts. To address this gap, we integrated guidance from the mHealth literature with expertise and first-hand experience to establish specific development steps for building and implementing SMS systems to support HBC programming in LMICs. Specifically, we provide real-world examples of each development step by describing our experience in designing and delivering an SMS system to support a culturally-adapted DPP designed for delivery in South Africa. We outline eight key SMS development steps, including: 1) determining if SMS is appropriate; 2) developing system architecture and programming; 3) developing theory-based messages; 4) developing SMS technology; 5) addressing international SMS delivery; 6) testing; 7) system training and technical support; and 8) cost considerations. We discuss lessons learned and extractable principles that may be of use to other mHealth and HBC researchers working in similar LMIC contexts.Trial registration Clinicaltrials.gov, NCT03342274 . Registered 10 November 2017.

Bridging gaps across levels of care in rehabilitation of patients with rheumatic and musculoskeletal diseases: Results from a stepped-wedge cluster randomized controlled trial.

OBJECTIVE: To compare the effectiveness of a structured goal-setting and tailored follow-up rehabilitation intervention with existing rehabilitation in patients with rheumatic and musculoskeletal diseases. DESIGN: A pragmatic stepped-wedge cluster randomized trial. SETTING: Eight rehabilitation centers in secondary healthcare, Norway. PARTICIPANTS: A total of 374 adults with rheumatic and musculoskeletal diseases were included in either the experimental (168) or the control group (206). INTERVENTIONS: A new rehabilitation intervention which comprised structured goal setting, action planning, motivational interviewing, digital self-monitoring of goal progress, and individual follow-up support after discharge according to patients' needs and available resources in primary healthcare (the BRIDGE-intervention), was compared to usual care. MAIN MEASURES: Patient-reported outcomes were collected electronically on admission and discharge from rehabilitation, and after 2, 7, and 12 months. The primary outcome was patients' goal attainment measured by the Patient Specific Functional Scale (0-10, 10 best) at 7 months. Secondary outcome measures included physical function (30-s Sit-To-Stand test), health-related quality of life (EQ-5D-5L-index), and self-assessed health (EQ-VAS). The main statistical analyses were performed on an intention-to-treat basis using linear mixed models. RESULTS: No significant treatment effects of the BRIDGE-intervention were found for either primary (Patient Specific Functional Scale mean difference 0.1 [95% CI: -0.5, 0.8], p = 0.70), or secondary outcomes 7 months after rehabilitation. CONCLUSION: The BRIDGE-intervention was not shown to be more effective than existing rehabilitation for patients with rheumatic and musculoskeletal diseases. There is still a need for more knowledge about factors that can improve the quality, continuity, and long-term health effects of rehabilitation for this patient group.

Moderators of a Diet and Physical Activity Intervention: who Responds Best to Sequential vs. Simultaneous Approaches.

BACKGROUND: Given that low physical activity levels and poor dietary intake are co-occurring risk factors for chronic disease, there is a need for interventions that target both health behaviors, either sequentially or simultaneously. Little is known about participant characteristics that are associated with better or worse response to sequential and simultaneous interventions. METHOD: The 12-month Counseling Advice for Lifestyle Management (CALM) randomized trial (N = 150; Mage = 55.3 years) targeted these two behaviors either via a sequential approach - dietary advice first then exercise advice added ("Diet-First") or exercise advice first then dietary advice added ("Exercise-First") - or via a simultaneous approach. The objective was to examine demographic, clinical, and psychosocial moderators of intervention effects on 12-month change in (1) moderate-to-vigorous physical activity (MVPA), (2) fruit/vegetable intake, (3) caloric intake from saturated fat, and (4) weight. Hierarchical regressions first compared Diet-First to Exercise-First, followed by comparisons of these arms combined ("sequential") to the simultaneous arm. RESULTS: Older age, higher baseline BMI, and lower social support were associated with higher MVPA in Exercise-First vs. Diet-First, while lower tangible support was associated with higher fruit/vegetable intake in Exercise-First but not in Diet-First. Poor sleep was associated with higher levels of MVPA in the sequential arm than in the simultaneous arm. Lower vitality was associated with greater weight loss in the sequential arm than in the simultaneous arm, while the opposite was true for those who were not married. CONCLUSION: Identifying moderators of treatment response can allow the behavioral medicine field to enhance intervention efficacy by matching participant subgroups to their best-fitting interventions. TRIAL REGISTRATION: NCT00131105.

Artificial Intelligence-Based Chatbots for Promoting Health Behavioral Changes: Systematic Review.

BACKGROUND: Artificial intelligence (AI)-based chatbots can offer personalized, engaging, and on-demand health promotion interventions. OBJECTIVE: The aim of this systematic review was to evaluate the feasibility, efficacy, and intervention characteristics of AI chatbots for promoting health behavior change. METHODS: A comprehensive search was conducted in 7 bibliographic databases (PubMed, IEEE Xplore, ACM Digital Library, PsycINFO, Web of Science, Embase, and JMIR publications) for empirical articles published from 1980 to 2022 that evaluated the feasibility or efficacy of AI chatbots for behavior change. The screening, extraction, and analysis of the identified articles were performed by following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. RESULTS: Of the 15 included studies, several demonstrated the high efficacy of AI chatbots in promoting healthy lifestyles (n=6, 40%), smoking cessation (n=4, 27%), treatment or medication adherence (n=2, 13%), and reduction in substance misuse (n=1, 7%). However, there were mixed results regarding feasibility, acceptability, and usability. Selected behavior change theories and expert consultation were used to develop the behavior change strategies of AI chatbots, including goal setting, monitoring, real-time reinforcement or feedback, and on-demand support. Real-time user-chatbot interaction data, such as user preferences and behavioral performance, were collected on the chatbot platform to identify ways of providing personalized services. The AI chatbots demonstrated potential for scalability by deployment through accessible devices and platforms (eg, smartphones and Facebook Messenger). The participants also reported that AI chatbots offered a nonjudgmental space for communicating sensitive information. However, the reported results need to be interpreted with caution because of the moderate to high risk of internal validity, insufficient description of AI techniques, and limitation for generalizability. CONCLUSIONS: AI chatbots have demonstrated the efficacy of health behavior change interventions among large and diverse populations; however, future studies need to adopt robust randomized control trials to establish definitive conclusions.

Supporting Adolescent Engagement with Artificial Intelligence-Driven Digital Health Behavior Change Interventions.

Understanding and optimizing adolescent-specific engagement with behavior change interventions will open doors for providers to promote healthy changes in an age group that is simultaneously difficult to engage and especially important to affect. For digital interventions, there is untapped potential in combining the vastness of process-level data with the analytical power of artificial intelligence (AI) to understand not only how adolescents engage but also how to improve upon interventions with the goal of increasing engagement and, ultimately, efficacy. Rooted in the example of the INSPIRE narrative-centered digital health behavior change intervention (DHBCI) for adolescent risky behaviors around alcohol use, we propose a framework for harnessing AI to accomplish 4 goals that are pertinent to health care providers and software developers alike: measurement of adolescent engagement, modeling of adolescent engagement, optimization of current interventions, and generation of novel interventions. Operationalization of this framework with youths must be situated in the ethical use of this technology, and we have outlined the potential pitfalls of AI with particular attention to privacy concerns for adolescents. Given how recently AI advances have opened up these possibilities in this field, the opportunities for further investigation are plenty.

Change in Views of Aging, Physical Activity, and Physical Health Over 8 Weeks: Results From a Randomized Study.

The AgingPLUS program targets motivational barriers, including negative views of aging, as mechanisms to increase adult physical activity. A pilot study was conducted to test the efficacy of this new program against a generic successful aging program. Fifty-six participants were randomly assigned to the AgingPLUS group, and 60 participants were assigned to the active control group. Repeated-measures multivariate analyses of variance assessed changes in views of aging, physical activity, blood pressure, and hand-grip strength from pretest (Week 0) to delayed posttest (Week 8). The Condition × Occasion interactions were nonsignificant; however, significant main effects for condition and occasion were found. Follow-up tests showed that views of aging were more positive, and physical activity had significantly increased at Week 8 for all participants. In addition, in the treatment group, elevated blood pressure had significantly decreased and hand-grip strength had significantly increased at Week 8. Despite the nonsignificant multivariate findings, the main effect findings provided partial support for the efficacy of the AgingPLUS program.

Changes in Gatekeeper Beliefs Following ASIST and Relation to Subsequent Gatekeeper Suicide Prevention Behaviors.

This study examines relations between suicide prevention gatekeeper beliefs and actual helping behaviors following participation in Applied Suicide Intervention Skills Training (ASIST). Participants (n = 434) completed measures examining suicide-related beliefs and behaviors using a naturalistic pre-post design. All beliefs demonstrated significant change from pre- to posttest. Regression analyses indicate that beliefs about perceived barriers to action and the controllability of suicide predicted identification of high-risk youth; perceived barriers to action were also negatively related to helping responses and referrals 6-9 months post training. Self-efficacy was not related to suicide prevention behaviors at follow-up. The importance of anchoring training curriculums and measurement to health behavior change theories is discussed.

Development and Evaluation of a Health Behavior Change Clinic in Primary Care: An Interdisciplinary Partnership.

Providing effective healthy behavior change interventions within primary care presents numerous challenges. Obesity, tobacco use, and sedentary lifestyle negatively impact the health quality of numerous medical patients, particularly in underserved patient populations with limited resources. Primary Care Behavioral Health (PCBH) models, which incorporate a Behavioral Health Consultant (BHC), can offer point-of-contact psychological consultation, treatment, and also provide opportunities for interdisciplinary psychologist-physician clinical partnerships to pair a BHC's health behavior change expertise with the physician's medical care. Such models can also enhance medical training programs by providing resident physicians with live, case-based learning opportunities when partnered with a BHC to address patient health behaviors. We will describe the development, implementation, and preliminary outcomes of a PCBH psychologist-physician interdisciplinary health behavior change clinic within a Family Medicine residency program. Patient outcomes revealed significant reductions (p < .01) in weight, BMI, and tobacco use. Implications and future directions are discussed.