LGBTQ+ OLDER ADULT COUPLES' EXPERIENCES OF MINORITY STRESS BY SERVICE PROVIDERS

This study explored LGBTQ+ older adult couples’ experiences of minority stress with service providers and effects on their relationships. Twelve LGBTQ+ cancer patient-partner couples (N = 24) completed surveys assessing demographics, stress, and health, and participated in dyadic semi-structured interviews. Descriptive statistics summarized demographic characteristics. Interview data were content analyzed to identify sources of minority stress. Participants were aged 50.9 years on average (SD = 9.9, R =32-70), mostly white (21, 87.5%), and had been together for 19.1 years (SD = 9.9, R = 9-44). Common minority stress sources included derogatory language, belittling comments, heteronormativity, and cisnormativity in routine healthcare, cancer care, and legal services. Couples attributed relationship strength and durability as mitigating negative effects of stress; they described feeling closer, stronger, and more confident in their relationships. Some couples denied experiences of minority stress by service providers and these couples ascribed their equitable care to their geographic location.

USING FOUND POETRY TO EXPLORE SEXUAL AND GENDER MINORITY COUPLES' EXPERIENCES FACING CANCER

This study explored how relationships of sexual and gender minority (SGM) couples change through the cancer experience. Twelve couples (N = 24) completed surveys assessing demographics and dyadic semi-structured interviews. Thematic analysis was used to analyze interview transcripts. Participants had been together for 19.1 years on average (SD = 9.9, R = 9-44) and commonly described dyadic strength and durability as a result of cancer. Using in-vivo language extracted from the theme dyadic strength and durability, a found poem was constructed depicting how couples saw themselves as two-person teams united against any external stressors. When SGM couples experienced cancer together, it resulted in feeling closer to one another, like they could handle anything that came their way, and assured them that they would stay together regardless of any future hardships experienced. Creative qualitative methods revealed SGM couples facing cancer felt like unyielding, impenetrable, eternal duos with which to be contended.

Bots and nots: Safeguarding online survey research with underrepresented and diverse populations

The COVID-19 pandemic has intensified the use of online recruitment and data collection for reaching historically underrepresented minorities (URMs) and other diverse groups. Preventing and detecting responses from automated accounts "bots" and those who misrepresent themselves is one challenge in utilizing online approaches. Through internet-mediated methods, interested LGBTQ+ and non-LGBTQ+ couples facing advanced cancer completed an interest form via REDCap®. Eligible participants received a direct link to electronic consent and surveys in REDCap®. Once responses to the interest form (N = 619) were received, the study PI: 1) assessed participants' entries and non-response survey data (time of completion, rate of recruitment, etc.), 2) temporarily postponed recruitment, 3) sent eligibility questionnaires, consent documents, and validated surveys to N= 10 couples and scrutinized these data for suspicious patterns or indications of untrustworthy data, 4) responded to potential participants via email, and 5) implemented additional strategies for detecting and preventing untrustworthy survey responses. Investigators must consider multi-step eligibility screening processes to detect and prevent the collection of untrustworthy data. Investigators' reliance on internet-mediated approaches for conducting research with diverse, hard-to-reach populations increases the importance of addressing threats to data validity. Ultimately, safeguarding internet-mediated research supports research accessibility and inclusion for URMs while also protecting participant data integrity.

Recruiting and Conducting Online Dyadic Semi-Structured Interviews With LGBTQ+ Couples Facing Advanced Cancer

In this study, LGBTQ+ adult couples facing advanced cancer were recruited online. Eligible couples were sent a direct link to electronic consent and surveys in REDCap®. Participants were then invited to complete a 45-minute dyadic semi-structured interview regarding their experience of coping with cancer as a couple. This study faced difficulties in recruiting LGBTQ+ couples, and also faced the challenge of identifying and managing online responses from individuals misrepresenting themselves, and from automated accounts or “bots”. LGBTQ+ aging scholars must acknowledge how conducting research remotely with LGBTQ+ adults may necessitate changes in study design, such as changes to recruitment and more comprehensive eligibility screening designed to prevent and detect the collection of untrustworthy data. Ultimately, protecting the integrity of participant data in online research supports research accessibility and inclusion for LGBTQ+ older adults, and is the first step in conducting research that promotes health equity.

A Systematic Review of Respiratory Sinus Arrhythmia in Romantic Relationships

Respiratory sinus arrhythmia (RSA), an index of the parasympathetic nervous system, has recently gained attention as a physiological component of regulatory processes, social connectedness, and health. Within the context of romantic relationships, studies have operationalized and conceptualized RSA in disparate ways, obscuring a clear pattern of findings. This systematic review synthesizes the rapidly developing literature and clarifies the role of RSA in romantic relationships. We evaluate support for three conceptual hypotheses: (1) resting baseline RSA is associated with better quality relationships; (2) phasic RSA is reflective of changes in threat and connection during couple interactions; and (3) physiological linkage in RSA between romantic partners relates to positive or negative relationship functioning depending on the nature of the linkage (e.g., in-phase vs. antiphase). We identified 26 empirical studies that tested associations between RSA and an index of romantic relationships (i.e., relationship satisfaction). Our findings show that higher RSA is not uniformly "good" for relationships. Higher resting baseline RSA was contemporaneously associated with better quality relationships, yet higher baseline RSA was also unexpectedly associated with relationship violence. Short-term decreases in RSA were found during relationship conflict, though the opposite-phasic increases in RSA during positive romantic partner interactions-was not found due to mixed empirical support. As expected, evidence for RSA linkage was found, though the connection between linkage and relationship functioning depends on the context in which it was measured. We discuss methodological limitations and directions for future research.

Linking emotions to behaviors through deep transfer learning

Human behavior refers to the way humans act and interact. Understanding human behavior is a cornerstone of observational practice, especially in psychotherapy. An important cue of behavior analysis is the dynamical changes of emotions during the conversation. Domain experts integrate emotional information in a highly nonlinear manner; thus, it is challenging to explicitly quantify the relationship between emotions and behaviors. In this work, we employ deep transfer learning to analyze their inferential capacity and contextual importance. We first train a network to quantify emotions from acoustic signals and then use information from the emotion recognition network as features for behavior recognition. We treat this emotion-related information as behavioral primitives and further train higher level layers towards behavior quantification. Through our analysis, we find that emotion-related information is an important cue for behavior recognition. Further, we investigate the importance of emotional-context in the expression of behavior by constraining (or not) the neural networks' contextual view of the data. This demonstrates that the sequence of emotions is critical in behavior expression. To achieve these frameworks we employ hybrid architectures of convolutional networks and recurrent networks to extract emotion-related behavior primitives and facilitate automatic behavior recognition from speech.

Modeling Interpersonal Linguistic Coordination in Conversations using Word Mover's Distance

Linguistic coordination is a well-established phenomenon in spoken conversations and often associated with positive social behaviors and outcomes. While there have been many attempts to measure lexical coordination or entrainment in literature, only a few have explored coordination in syntactic or semantic space. In this work, we attempt to combine these different aspects of coordination into a single measure by leveraging distances in a neural word representation space. In particular, we adopt the recently proposed Word Mover's Distance with word2vec embeddings and extend it to measure the dissimilarity in language used in multiple consecutive speaker turns. To validate our approach, we apply this measure for two case studies in the clinical psychology domain. We find that our proposed measure is correlated with the therapist's empathy towards their patient in Motivational Interviewing and with affective behaviors in Couples Therapy. In both case studies, our proposed metric exhibits higher correlation than previously proposed measures. When applied to the couples with relationship improvement, we also notice a significant decrease in the proposed measure over the course of therapy, indicating higher linguistic coordination.

Unsupervised online multitask learning of behavioral sentence embeddings

Appropriate embedding transformation of sentences can aid in downstream tasks such as NLP and emotion and behavior analysis. Such efforts evolved from word vectors which were trained in an unsupervised manner using large-scale corpora. Recent research, however, has shown that sentence embeddings trained using in-domain data or supervised techniques, often through multitask learning, perform better than unsupervised ones. Representations have also been shown to be applicable in multiple tasks, especially when training incorporates multiple information sources. In this work we aspire to combine the simplicity of using abundant unsupervised data with transfer learning by introducing an online multitask objective. We present a multitask paradigm for unsupervised learning of sentence embeddings which simultaneously addresses domain adaption. We show that embeddings generated through this process increase performance in subsequent domain-relevant tasks. We evaluate on the affective tasks of emotion recognition and behavior analysis and compare our results with state-of-the-art general-purpose supervised sentence embeddings. Our unsupervised sentence embeddings outperform the alternative universal embeddings in both identifying behaviors within couples therapy and in emotion recognition.

Head Motion Modeling for Human Behavior Analysis in Dyadic Interaction

This paper presents a computational study of head motion in human interaction, notably of its role in conveying interlocutors' behavioral characteristics. Head motion is physically complex and carries rich information; current modeling approaches based on visual signals, however, are still limited in their ability to adequately capture these important properties. Guided by the methodology of kinesics, we propose a data driven approach to identify typical head motion patterns. The approach follows the steps of first segmenting motion events, then parametrically representing the motion by linear predictive features, and finally generalizing the motion types using Gaussian mixture models. The proposed approach is experimentally validated using video recordings of communication sessions from real couples involved in a couples therapy study. In particular we use the head motion model to classify binarized expert judgments of the interactants' specific behavioral characteristics where entrainment in head motion is hypothesized to play a role: Acceptance, Blame, Positive, and Negative behavior. We achieve accuracies in the range of 60% to 70% for the various experimental settings and conditions. In addition, we describe a measure of motion similarity between the interaction partners based on the proposed model. We show that the relative change of head motion similarity during the interaction significantly correlates with the expert judgments of the interactants' behavioral characteristics. These findings demonstrate the effectiveness of the proposed head motion model, and underscore the promise of analyzing human behavioral characteristics through signal processing methods.

Community Violence Exposure and Adolescents' School Engagement and Academic Achievement Over Time

OBJECTIVE

This study examined the relationships between community violence exposure and two related, but meaningfully distinct, academic outcomes: school engagement and academic achievement (GPA). Psychological symptoms were investigated as mediators of these relationships.

METHOD

One hundred eighteen youth reported on community violence exposure and school engagement twice during adolescence, and both parents and adolescents reported on psychological symptoms. Cumulative GPA was also acquired from participants. A path model and hierarchical multiple regression analyses were used to assess these relationships longitudinally.

RESULTS

Earlier community violence exposure inversely predicted later school engagement, but earlier school engagement did not predict later community violence exposure. School engagement mediated the association between community violence exposure and school GPA. Internalizing and externalizing symptoms, but not posttraumatic stress symptoms, mediated the association between community violence and school engagement.

CONCLUSIONS

When adolescents are exposed to community violence, they may become vulnerable to a cascade of events including psychological symptoms and decreased connectedness to school, which ultimately can lead to overall poor academic achievement. The more proximal, changeable experiences of school connectedness and psychological symptoms offer targets for interventions offsetting long-term adverse academic consequences in violence-exposed youth.

Relative contributions of relationship distress and depression to communication patterns in couples

Researchers have long been interested in the relationship between marital distress and depression. Empirical findings from investigations into the relative contributions of marital distress and depression to marital communication have been inconsistent, and some communication behaviors, such as the demand/withdraw interaction pattern, have yet to be examined. The ability of depression to predict major types of communication (positive communication, negative communication, problem-solving, and demand/withdraw) was analyzed after controlling for the shared variance between marital distress and depression. Across two studies of couples beginning therapy and one study of couples beginning an enhancement program, results failed to provide support for a unique contribution of depression to couples' communication behaviors.

Community-based prevention of marital dysfunction: multilevel modeling of a randomized effectiveness study

This study is a cluster randomized controlled trial of the Prevention and Relationship Enhancement Program (PREP; H. J. Markman, S. M. Stanley, & S. L. Blumberg, 2001). Fifty-seven religious organizations (ROs), consisting of 217 newlywed couples, were randomly assigned to 1 of 3 intervention conditions: PREP delivered by university clinicians (U-PREP), PREP delivered by RO clergy (ROPREP), and naturally occurring (NO) marriage preparation. Self-reported relationship satisfaction, negative behavior, and positive behavior were assessed at preintervention, postintervention, and 1-year follow-up. Trajectories of relationship satisfaction showed no change over time and did not differ across conditions. Trajectories of negative behavior for RO-PREP wives showed significantly greater linear declines in comparison with NO trajectories. Trajectories of positive behavior for NO and U-PREP partners showed significant declines compared with RO-PREP trajectories. Effectiveness, transportability, and dissemination of marital distress prevention programs in community settings are discussed.