Continuous glucose monitoring as an objective measure of meal consumption in individuals with binge-spectrum eating disorders: A proof-of-concept study

OBJECTIVE

Going extended periods of time without eating increases risk for binge eating and is a primary target of leading interventions for binge-spectrum eating disorders (B-EDs). However, existing treatments for B-EDs yield insufficient improvements in regular eating and subsequently, binge eating. These unsatisfactory clinical outcomes may result from limitations in assessment and promotion of regular eating in therapy. Detecting the absence of eating using passive sensing may improve clinical outcomes by facilitating more accurate monitoring of eating behaviours and powering just-in-time adaptive interventions. We developed an algorithm for detecting meal consumption (and extended periods without eating) using continuous glucose monitor (CGM) data and machine learning.

METHOD

Adults with B-EDs (N = 22) wore CGMs and reported eating episodes on self-monitoring surveys for 2 weeks. Random forest models were run on CGM data to distinguish between eating and non-eating episodes.

RESULTS

The optimal model distinguished eating and non-eating episodes with high accuracy (0.82), sensitivity (0.71), and specificity (0.94).

CONCLUSIONS

These findings suggest that meal consumption and extended periods without eating can be detected from CGM data with high accuracy among individuals with B-EDs, which may improve clinical efforts to target dietary restriction and improve the field's understanding of its antecedents and consequences.

Wellness Achieved Through Changing Habits: A Randomized Controlled Trial of an Acceptance-Based Intervention for Adolescent Girls With Overweight or Obesity

Background: Obesity prevalence among adolescent girls continues to rise. Acceptance-based therapy (ABT) is effective for weight loss in adults and feasible and acceptable for weight loss among adolescents. This pilot randomized controlled trial (RCT) assessed effectiveness of an adolescent-tailored ABT intervention on decreasing weight-related outcomes and improving psychological outcomes compared with enhanced care. Methods: In this 6-month, two-arm pilot RCT, participants were randomized to the ABT intervention or to enhanced care. The ABT intervention condition attended 15 virtual, 90-minute group sessions. The enhanced care comparison received 15 healthy lifestyle handouts and virtually met twice with a registered dietitian. The primary outcome assessed was change in BMI expressed as a percentage of the 95th percentile (%BMIp95). Results: Participants included 40 girls (ages 14-19) assigned to ABT (n = 20) or enhanced care (n = 20). A decrease in %BMIp95 was observed within the ABT intervention [d = -0.19, 95% confidence interval, CI: (-0.36 to -0.02)], however, not within the enhanced care comparison [d = -0.01, 95% CI: (-0.09 to 0.07)]. The ABT group showed slight changes in psychological flexibility [d = -0.34, 95% CI: (-0.62 to -0.06)] over enhanced care [d = -0.11, 95% CI: (-0.58 to 0.37)]. There was no significant intervention effect noted between groups. Conclusion: In this pilot RCT, the ABT intervention was as effective as enhanced care for weight loss. However, previous ABT studies occurred in person, and this study was conducted virtually due to COVID-19. Thus, future research investigating the potential effectiveness of ABT in-person among adolescents and optimization of virtual interventions is needed.

Reward mediates the association between engagement in noneating activities and state body dissatisfaction: An ecological momentary assessment study

OBJECTIVE

Momentary worsening (i.e., greater than one's average levels) of state body dissatisfaction (BD) has been implicated as a proximal risk factor for eating disorder (ED) behaviors in binge-spectrum EDs. Yet, research exploring the prospective association between noneating activities in daily life (e.g., chores, self-care/coping) and momentary state BD remains limited. Understanding the momentary link between engagement in noneating activities and state BD, and pathways through which engagement in said activities influences momentary state BD is critical to informing treatments. The current ecological momentary assessment (EMA) study examined whether (1) engagement in noneating activities at Time 1 prospectively predicted momentary state BD at Time 2 and (2) reward drawn from noneating activities at Time 1 mediates the prospective association between engagement in noneating activities at Time 1 and momentary state BD at Time 2.

METHOD

Sixty-six adults with transdiagnostic binge eating completed an EMA protocol over 7-14 days. Participants received six EMA signals per day (total EMA observations = 4038). Multilevel modeling was used to examine the research questions.

RESULTS

Engagement in an indoor hobby, outdoor recreation, socializing, and self-care/coping strategies prospectively predicted momentary state BD improvements, while using TV/social media and cooking prospectively predicted momentary state BD worsening. Reward drawn from engagement in these noneating activities mediated the associations.

DISCUSSION

If replicated, these findings suggest that increasing the frequency of certain noneating activities and enhancing their rewarding aspects to improve state BD and decrease ED behavior risk during treatment may be worthy of further exploration.

PUBLIC SIGNIFICANCE

Momentary worsening of state body dissatisfaction (BD) is a risk factor for eating disorder behaviors in individuals with binge eating. This study found that engaging in certain noneating activities (e.g., socializing) prospectively predicted momentary improvements in state BD, while other noneating activities (e.g., cooking) predicted momentary worsening of state BD. Reward drawn from activities mediated these relations. To improve state BD, treatments should target the frequency of, and reward obtained from these noneating activities.

A Clinician-Controlled Just-in-time Adaptive Intervention System (CBT+) Designed to Promote Acquisition and Utilization of Cognitive Behavioral Therapy Skills in Bulimia Nervosa: Development and Preliminary Evaluation Study

Background

Cognitive behavioral therapy (CBT) for bulimia nervosa (BN) is most effective when patients demonstrate adequate skill utilization (ie, the frequency with which a patient practices or uses therapeutic skills) and skill acquisition (ie, the ability to successfully perform a skill learned in treatment). However, rates of utilization and acquisition of key treatment skills (eg, regular eating, urge management skills, and mood management skills) by the end of the treatment are frequently low; as a result, outcomes from CBT for BN are affected. Just-in-time adaptive interventions (JITAIs) may improve skill acquisition and utilization by delivering real-time interventions during algorithm-identified opportunities for skill practice.

Objective

In this manuscript, we describe a newly developed JITAI system called CBT+ that is designed to facilitate the acquisition and utilization of CBT for BN treatment skills when used as a treatment augmentation. We also present feasibility, acceptability, and preliminary outcomes data from a small proof-of-concept pilot trial (n=5 patients and n=3 clinicians) designed to identify opportunities for iterative development of CBT+ ahead of a larger ongoing randomized controlled trial.

Methods

A total of 5 individuals with BN received 16 sessions of outpatient CBT for BN while using the CBT+ app. Data were collected from patients and clinicians to evaluate the feasibility (eg, app use and user adherence), acceptability (eg, qualitative patient and clinician feedback, including usefulness ratings of CBT+ on a 6-point Likert scale ranging from 1=extremely useless to 6=extremely useful), and preliminary outcomes (eg, improvements in skill utilization and acquisition and BN symptoms) of the CBT+ system.

Results

Patients reported that CBT+ was a relatively low burden (eg, quick and easy-to-use self-monitoring interface), and adherence to in-app self-monitoring was high (mean entries per day 3.13, SD 1.03). JITAIs were perceived as useful by both patients (median rating 5/6) and clinicians (median rating 5/6) for encouraging the use of CBT skills. Large improvements in CBT skills and clinically significant reductions in BN symptoms were observed post treatment. Although preliminary findings indicated that the CBT+ system was acceptable to most patients and clinicians, the overall study dropout was relatively high (ie, 2/5, 40% patients), which could indicate some moderate concerns regarding feasibility.

Conclusions

CBT+, the first-ever JITAI system designed to facilitate the acquisition and utilization of CBT for BN treatment skills when used as a treatment augmentation, was shown to be feasible and acceptable. The results indicate that the CBT+ system should be subjected to more rigorous evaluations with larger samples and should be considered for wider implementation if found effective. Areas for iterative improvement of the CBT+ system ahead of a randomized controlled trial are also discussed.

COVID-19 Impacts Mental Health Outcomes and Ability/Desire to Participate in Research Among Current Research Participants

OBJECTIVE

This study aimed to examine the impact of coronavirus disease 2019 (COVID-19) on current research participants' mental health outcomes, ability to adhere to behavioral intervention recommendations, and desire to participate in research.

METHODS

A quantitative/qualitative cross-sectional survey was used among adults currently enrolled in health-related research (N = 250; 85% women; > 50% currently enrolled in behavioral weight loss intervention).

RESULTS

COVID-19 was perceived as a severe threat by most (62.3%). Related to COVID-19, 29.6% of participants reported moderate/severe symptoms of anxiety/depression, and 68.4% reported moderate/severe posttraumatic stress disorder (PTSD) symptomatology, with women more likely to demonstrate moderate/severe anxiety/depression (P = 0.047) and PTSD symptomatology (P = 0.028) relative to men. Those with moderate/severe levels of anxiety/depression (P = 0.0154) and distress (P = 0.0330) were more likely to report a decreased desire to participate in research. Among those in behavioral interventions, individuals perceiving COVID-19 as a moderate/severe threat or experiencing moderate/severe depression or PTSD symptomatology were 4 to 19 times more likely to report that COVID-19 affected their ability to adhere to behavioral recommendations. Qualitative analysis identified four themes describing COVID-19's impact on research experiences: transition, remote intervention delivery, ability to adhere to program goals, and research participation interest.

CONCLUSIONS

These data suggest that participants engaged in health-related research perceive COVID-19 as a significant threat, affecting mental health, desire to participate in research, and ability to adhere to intervention recommendations.

Heart rate variability and emotion regulation among individuals with obesity and loss of control eating

Autonomic nervous system functioning, measured with heart rate variability (HRV), is associated with emotion regulation and likely contributes to binge eating. This study examined the link between HRV and binge eating severity and analyzed changes in HRV as a marker of emotion regulation in individuals with binge eating. Participants (n = 28) with obesity and loss of control eating reported overeating and loss of control episodes and completed an HRV assessment at rest and during a mental stressor. At rest, lower time-domain HRV was linked to more severe loss of control (SDNN B = -0.18, p = 0.03). Frequency-domain HRV was associated with more severe overeating (LFn B = 14.92, p = 0.03; HFn B = -14.81, p = 0.04). Frequency-domain HRV differed between resting and stressed conditions (p's < 0.001). Findings contribute to understanding emotion regulation in binge eating and guide future research and novel intervention development.

Return of the JITAI: Applying a Just-in-Time Adaptive Intervention Framework to the Development of m-Health Solutions for Addictive Behaviors

PURPOSE

Lapses are strong indicators of later relapse among individuals with addictive disorders, and thus are an important intervention target. However, lapse behavior has proven resistant to change due to the complex interplay of lapse triggers that are present in everyday life. It could be possible to prevent lapses before they occur by using m-Health solutions to deliver interventions in real-time.

METHOD

Just-in-time adaptive intervention (JITAI) is an intervention design framework that could be delivered via mobile app to facilitate in-the-moment monitoring of triggers for lapsing, and deliver personalized coping strategies to the user to prevent lapses from occurring. An organized framework is key for successful development of a JITAI.

RESULTS

Nahum-Shani and colleagues (2014) set forth six core elements of a JITAI and guidelines for designing each: distal outcomes, proximal outcomes, tailoring variables, decision points, decision rules, and intervention options. The primary aim of this paper is to illustrate the use of this framework as it pertains to developing a JITAI that targets lapse behavior among individuals following a weight control diet.

CONCLUSION

We will detail our approach to various decision points during the development phases, report on preliminary findings where applicable, identify problems that arose during development, and provide recommendations for researchers who are currently undertaking their own JITAI development efforts. Issues such as missing data, the rarity of lapses, advantages/disadvantages of machine learning, and user engagement are discussed.