Passive Sensor Data for Characterizing States of Increased Risk for Eating Disorder Behaviors in the Digital Phenotyping Arm of the Binge Eating Genetics Initiative: Protocol for an Observational Study.

BACKGROUND: Data that can be easily, efficiently, and safely collected via cell phones and other digital devices have great potential for clinical application. Here, we focus on how these data could be used to refine and augment intervention strategies for binge eating disorder (BED) and bulimia nervosa (BN), conditions that lack highly efficacious, enduring, and accessible treatments. These data are easy to collect digitally but are highly complex and present unique methodological challenges that invite innovative solutions. OBJECTIVE: We describe the digital phenotyping component of the Binge Eating Genetics Initiative, which uses personal digital device data to capture dynamic patterns of risk for binge and purge episodes. Characteristic data signatures will ultimately be used to develop personalized models of eating disorder pathologies and just-in-time interventions to reduce risk for related behaviors. Here, we focus on the methods used to prepare the data for analysis and discuss how these approaches can be generalized beyond the current application. METHODS: The University of North Carolina Biomedical Institutional Review Board approved all study procedures. Participants who met diagnostic criteria for BED or BN provided real time assessments of eating behaviors and feelings through the Recovery Record app delivered on iPhones and the Apple Watches. Continuous passive measures of physiological activation (heart rate) and physical activity (step count) were collected from Apple Watches over 30 days. Data were cleaned to account for user and device recording errors, including duplicate entries and unreliable heart rate and step values. Across participants, the proportion of data points removed during cleaning ranged from <0.1% to 2.4%, depending on the data source. To prepare the data for multivariate time series analysis, we used a novel data handling approach to address variable measurement frequency across data sources and devices. This involved mapping heart rate, step count, feeling ratings, and eating disorder behaviors onto simultaneous minute-level time series that will enable the characterization of individual- and group-level regulatory dynamics preceding and following binge and purge episodes. RESULTS: Data collection and cleaning are complete. Between August 2017 and May 2021, 1019 participants provided an average of 25 days of data yielding 3,419,937 heart rate values, 1,635,993 step counts, 8274 binge or purge events, and 85,200 feeling observations. Analysis will begin in spring 2022. CONCLUSIONS: We provide a detailed description of the methods used to collect, clean, and prepare personal digital device data from one component of a large, longitudinal eating disorder study. The results will identify digital signatures of increased risk for binge and purge events, which may ultimately be used to create digital interventions for BED and BN. Our goal is to contribute to increased transparency in the handling and analysis of personal digital device data. TRIAL REGISTRATION: ClinicalTrials.gov NCT04162574; https://clinicaltrials.gov/ct2/show/NCT04162574. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/38294.

Retention, engagement, and binge-eating outcomes: Evaluating feasibility of the Binge-Eating Genetics Initiative study.

OBJECTIVE: Using preliminary data from the Binge-Eating Genetics Initiative (BEGIN), we evaluated the feasibility of delivering an eating disorder digital app, Recovery Record, through smartphone and wearable technology for individuals with binge-type eating disorders. METHODS: Participants (n = 170; 96% female) between 18 and 45 years old with lived experience of binge-eating disorder or bulimia nervosa and current binge-eating episodes were recruited through the Recovery Record app. They were randomized into a Watch (first-generation Apple Watch + iPhone) or iPhone group; they engaged with the app over 30 days and completed baseline and endpoint surveys. Retention, engagement, and associations between severity of illness and engagement were evaluated. RESULTS: Significantly more participants in the Watch group completed the study (p = .045); this group had greater engagement than the iPhone group (p's < .05; pseudo-R2 McFadden effect size = .01-.34). Overall, binge-eating episodes, reported for the previous 28 days, were significantly reduced from baseline (mean = 12.3) to endpoint (mean = 6.4): most participants in the Watch (60%) and iPhone (66%) groups reported reduced binge-eating episodes from baseline to endpoint. There were no significant group differences across measures of binge eating. In the Watch group, participants with fewer episodes of binge eating at baseline were more engaged (p's < .05; pseudo-R2 McFadden  = .01-.02). Engagement did not significantly predict binge eating at endpoint nor change in binge-eating episodes from baseline to endpoint for both the Watch and iPhone groups. DISCUSSION: Using wearable technology alongside iPhones to deliver an eating disorder app may improve study completion and app engagement compared with using iPhones alone.

Suicide as an interpersonal phenomenon: Dyadic methodological and statistical considerations in suicide research.

Interpersonal risk and resilience factors are prominent in current conceptual models of suicide. A growing body of empirical evidence links suicidal thoughts and behaviors to a range of interpersonal phenomenon adding further support to the value of this line of inquiry. At present, research on interpersonal phenomenon focuses on assessing individuals' perceptions of interpersonal phenomenon, such as appraisals of burdensomeness, experienced loneliness, and thwarted belongingness. As this line of research continues to develop, we argue that it would be valuable to consider incorporating conceptual models of interpersonal phenomenon and corresponding methodological approaches from closely allied fields. After providing a brief overview of interpersonal models of suicide, we present an introduction to conceptual models of interpersonal phenomenon developed in relationship science, describe how these models can be applied to the study of interpersonal phenomenon in suicide research, and close with a guided tutorial on data collection and statistical analysis methods for testing hypotheses derived from these conceptual approaches. References for additional reading are provided, and the Appendix S1 provides simulated data sets and statistical code for the analyses in the tutorial section.

Negative Partner Attributions Moderate the Association between Heart Rate Reactivity During Relationship Conflict and Relationship Satisfaction.

Numerous theoretical models of relationship distress suggest that strong, negative reactions to conflict are directly associated with lower levels of relationship satisfaction. Consistent with this supposition, substantial evidence links higher levels of subjective negative emotion, more pronounced and frequent expressions of negative affect, and higher levels of negative communication behaviors to lower levels of relationship satisfaction (e.g., Bradbury, Fincham, & Beach, 2000, Journal of Marriage and Family, 62(4), 964). However, the evidence linking stress-related physiological responding during relationship conflict and relationship satisfaction is less compelling than would be anticipated based on theory. We propose that these theoretically unexpected but empirically well-replicated findings may be the result of different patterns in association between physiological reactivity and relationship satisfaction for couples with varying styles in how they typically perceive unwanted behavior in one another. The present study tests negative attributions for undesirable partner behaviors as a moderator of the association between heart rate reactivity (HRR) during relationship conflict and relationship satisfaction in a sample of 60 married couples. A significant interaction emerged between HRR and negative attributions of partner behavior in predicting relationship satisfaction such that higher levels of HRR were associated with lower levels of relationship satisfaction for individuals who typically made more negative attributions for undesirable partner behaviors, but with higher levels of relationship satisfaction for individuals who typically made fewer negative attributions for undesirable partner behaviors. Implications for conceptualizing reactivity during relationship conflict and couple interventions are discussed.

Varios modelos teóricos de distrés relacional sugieren que las reacciones fuertes y negativas al conflicto están directamente asociadas con niveles más bajos de satisfacción con la relación. De acuerdo con esta suposición, hay pruebas sustanciales que vinculan los niveles más altos de emoción negativa subjetiva, las expresiones más marcadas y frecuentes de afecto negativo, y los niveles más altos de conductas de comunicación negativa con niveles más bajos de satisfacción con la relación (p. ej.: Bradbury, Fincham, & Beach, 2000, Journal of Marriage and Family, 62(4), 964). Sin embargo, las pruebas que conectan la respuesta fisiológica relacionada con el estrés durante el conflicto en la relación y la satisfacción con la relación son menos convincentes de lo que se esperaría según la teoría. Proponemos que estos resultados teóricamente inesperados, pero bien reproducidos empíricamente, pueden ser el resultado de diferentes patrones que asocian la reactividad fisiológica y la satisfacción con la relación en el caso de las parejas con estilos variados en cuanto a cómo perciben normalmente el comportamiento no deseado en el otro. El presente estudio evalúa las atribuciones negativas para las conductas no deseadas de la pareja como moderadoras de la asociación entre la reactividad de la frecuencia cardíaca (RFC) durante el conflicto en la relación y la satisfacción con la relación en una muestra de 60 parejas casadas. Surgió una interacción significativa entre la RFC y las atribuciones negativas de la conducta de la pareja a la hora de predecir la satisfacción con la relación, de manera que niveles más altos de RFC estuvieron asociados con niveles más bajos de satisfacción con la relación en personas que normalmente hicieron más atribuciones negativas para las conductas no deseadas de la pareja, pero con niveles más altos de satisfacción con la relación para las personas que normalmente hicieron menos atribuciones negativas para las conductas no deseadas de la pareja. Se debaten las implicancias para conceptualizar la reactividad durante el conflicto en la relación y las intervenciones en la pareja.

Conceptual and statistical issues in couples observational research: Rationale and methods for design decisions.

Observational behavioral coding methods are widely used for the study of relational phenomena. There are numerous guidelines for the development and implementation of these methods that include principles for creating new and adapting existing coding systems as well as principles for creating coding teams. While these principles have been successfully implemented in research on relational phenomena, the ever expanding array of phenomena being investigated with observational methods calls for a similar expansion of these principles. Specifically, guidelines are needed for decisions that arise in current areas of emphasis in couple research including observational investigation of related outcomes (e.g., relationship distress and psychological symptoms), the study of change in behavior over time, and the study of group similarities and differences in the enactment and perception of behavior. This article describes conceptual and statistical considerations involved in these 3 areas of research and presents principle- and empirically based rationale for design decisions related to these issues. A unifying principle underlying these guidelines is the need for careful consideration of fit between theory, research questions, selection of coding systems, and creation of coding teams. Implications of (mis)fit for the advancement of theory are discussed. (PsycINFO Database Record