Physical aggression, compromised social support, and 10-year marital outcomes: Testing a relational spillover model

The purpose of the present study was to test a relational spillover model of physical aggression whereby physical aggression affects marital outcomes due to its effects on how spouses ask for and provide support to one another. Newlywed couples (n = 172) reported levels of physical aggression over the past year and engaged in interactions designed to elicit social support; marital adjustment, and stability were assessed periodically over the first 10 years of marriage. Multilevel modeling revealed that negative support behavior mediated the relationship between physical aggression and 10-year marital adjustment levels whereas positive support behavior mediated the relationship between physical aggression and divorce status. These findings emphasize the need to look beyond conflict when explaining how aggression affects relationships and when working with couples with a history of physical aggression who are seeking to improve their relationships

Social support in marriage: Translating research into practical applications for clinicians

How spouses support one another may be important in understanding and preventing marital distress, but has received relatively little attention. Instead, the behavioral model of marriage and corresponding treatment protocols have focused on the importance of good conflict management skills in preventing and treating marital distress. This paper outlines recent research indicating that couples social support skills predict marital outcome two years later, above and beyond conflict management skills. These results indicate that successful prevention and treatment programs may need to incorporate support skills training as well as conflict management training. Practical implications of this research are outlined, and specific techniques are recommended for teaching social support skills to couples

Social support, problem solving, and the longitudinal course of newlywed marriage

Married couples (N = 172) were observed as newlyweds and again one year later while engaging in 2 problem-solving and 2 personal support discussions. Microanalytic coding of these conversations was used to examine associations between problem-solving and social support behaviors over one year and their relative contributions to 10-year trajectories of self-reported relationship satisfaction and dissolution. Results demonstrated that initially lower levels of positive support behaviors and higher levels of negative support behaviors predicted 1-year increases in negative emotion displayed during problem-solving conversations. Emotions coded from the initial problem-solving conversations did not predict 1-year changes in social support behaviors. Controlling for emotions displayed during problem-solving interactions eliminated or reduced associations between initial social support behaviors and (a) later levels of satisfaction and (b) relationship dissolution. These findings corroborate models that prioritize empathy, validation, and caring as key elements in the development of intimacy (e.g., Reis & Shaver, 1988), and they suggest that deficits in these domains foreshadow deterioration in problem-solving and conflict management. Implications for integrating support and problem-solving in models of relationship change are outlined, as are implications for incorporating social support in education programs for developing relationships

Does Couples' Communication Predict Marital Satisfaction, or Does Marital Satisfaction Predict Communication?

The quality of communication between spouses is widely assumed to affect their subsequent judgments of relationship satisfaction, yet this assumption is rarely tested against the alternative prediction that communication is merely a consequence of spouses’ prior levels of satisfaction. To evaluate these perspectives, newlywed couples’ positivity, negativity, and effectiveness were observed four times at 9-month intervals and these behaviors were examined in relation to corresponding self-reports of relationship satisfaction. Cross-sectionally, relatively satisfied couples engaged in more positive, less negative, and more effective communication. Longitudinally, reliable communication-to-satisfaction and satisfaction-to-communication associations were identified, yet neither pathway was particularly robust. These findings raise important doubts about theories and interventions that prioritize couple communication skills as the key predictor of relationship satisfaction, while raising new questions about other factors that might predict communication and satisfaction and that strengthen or moderate their association

Stress Crossover in Intimate Relationships: A New Framework for Studying Dynamic Co-Regulation Patterns in Dyadic Interactions

It has been demonstrated that stress, experienced outside of a relationship, can spill into a relationship and cross over during interactions from one partner to the other. However, the mechanism of how stress cross over in real-time between partners is still unknown. To overcome this limitation, we invited 189 couples (N = 378 individuals) for two interactions and stressed either the man, the woman, or both partners between the interactions with a standardized stress-induction procedure. Vocally-encoded emotional arousal (i.e., fundamental frequency, indexed as fo) was extracted from both partners in 25,834 talk turns. Dynamical systems modeling revealed four patterns of dynamic influence prior to stress induction, which started to erode after the stress induction. This demonstrates that the initially unstressed mates become stressed during the behavioral exchange and stress crosses over from the unstressed partner to the stressed mates, interfering with their ability to down-regulate stress

Financial strain and stressful events predict newlyweds' negative communication independent of relationship satisfaction.

Social-learning perspectives explicitly recognize the role of partners’ personal histories and contexts as possible causes of couple communication behavior, but these assumptions are rarely tested directly, and operationalizations of context in behavioral research on couples rarely extend beyond the interacting dyad. To broaden our understanding of why couples differ in communication, the current study examined whether observed behaviors in marital interactions covary with individual experiences and contextual factors. Behaviors coded from in-home conversations of 414 ethnically-diverse newlywed couples were examined simultaneously in relation to childhood and family-of-origin experiences, financial strain and stressful life events, depressive symptoms, and relationship satisfaction. A latent factor representing financial strain and stressful life events was the strongest correlate of negative communication, with higher levels of stress predicting more negativity. Relationship satisfaction was the strongest correlate of observed positivity, with higher levels of satisfaction predicting more positivity. Childhood and family experiences were unrelated to behaviors, whereas results for depressive symptoms were complex and counterintuitive. Because the negative behaviors highlighted in social-learning models of relationship functioning, and often targeted in educational interventions, covary reliably with the stresses and financial strains that couples experience, contextual factors merit greater emphasis in models designed to explain and prevent marital deterioration

Three tests of the Vulnerability-Stress-Adaptation Model: Independent prediction, mediation, and generalizability

ObjectiveEfforts to understand why some marriages thrive while others falter are (a) not well integrated conceptually and (b) rely heavily on data collected from White middle-class samples. The Vulnerability-Stress-Adaptation Model (VSA; Karney and Bradbury, 1995) is used here to integrate prior efforts and is tested using data collected from couples living with low incomes.BackgroundThe VSA Model assumes (a) that enduring vulnerabilities, stress, and couple communication account for unique variance in relationship satisfaction, (b) that communication mediates the effects of vulnerabilities and stress on satisfaction, and (c) that the predictors of satisfaction generalize across socioeconomic levels. To date, these assumptions remain untested.Materials and methodsWith 388 couples from diverse backgrounds (88% Black or Hispanic), we used latent variable structural equation models to examine enduring vulnerabilities, chronic stress, and observed communication as predictors of 4-wave, 27-month satisfaction trajectories, first as main effects and then interacting with a validated 10-item index of sociodemographic risk.Results(a) The three variable sets independently predict satisfaction trajectories; (b) couple communication does not mediate the effects of enduring vulnerabilities or stress on satisfaction; and (c) in 19% of tests, effects were stronger among couples with higher sociodemographic risk.ConclusionEffects of established predictor domains on satisfaction replicate in a diverse sample of newlywed couples, and most findings generalize across levels of sociodemographic risk. The failure of couple communication to mediate effects of enduring personal vulnerabilities and stress raises new questions about how these two domains undermine committed partnerships

Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning

Traffic accident anticipation aims to predict accidents from dashcam videos as early as possible, which is critical to safety-guaranteed self-driving systems. With cluttered traffic scenes and limited visual cues, it is of great challenge to predict how long there will be an accident from early observed frames. Most existing approaches are developed to learn features of accident-relevant agents for accident anticipation, while ignoring the features of their spatial and temporal relations. Besides, current deterministic deep neural networks could be overconfident in false predictions, leading to high risk of traffic accidents caused by self-driving systems. In this paper, we propose an uncertainty-based accident anticipation model with spatio-temporal relational learning. It sequentially predicts the probability of traffic accident occurrence with dashcam videos. Specifically, we propose to take advantage of graph convolution and recurrent networks for relational feature learning, and leverage Bayesian neural networks to address the intrinsic variability of latent relational representations. The derived uncertainty-based ranking loss is found to significantly boost model performance by improving the quality of relational features. In addition, we collect a new Car Crash Dataset (CCD) for traffic accident anticipation which contains environmental attributes and accident reasons annotations. Experimental results on both public and the newly-compiled datasets show state-of-the-art performance of our model. Our code and CCD dataset are available at https://github.com/Cogito2012/UString.Comment: Accepted by ACM MM 202

Male reproductive health and environmental xenoestrogens

EHP is a publication of the U.S. government. Publication of EHP lies in the public domain and is therefore without copyright. Research articles from EHP may be used freely; however, articles from the News section of EHP may contain photographs or figures copyrighted by other commercial organizations and individuals that may not be used without obtaining prior approval from both the EHP editors and the holder of the copyright. Use of any materials published in EHP should be acknowledged (for example, "Reproduced with permission from Environmental Health Perspectives") and a reference provided for the article from which the material was reproduced.Male reproductive health has deteriorated in many countries during the last few decades. In the 1990s, declining semen quality has been reported from Belgium, Denmark, France, and Great Britain. The incidence of testicular cancer has increased during the same time incidences of hypospadias and cryptorchidism also appear to be increasing. Similar reproductive problems occur in many wildlife species. There are marked geographic differences in the prevalence of male reproductive disorders. While the reasons for these differences are currently unknown, both clinical and laboratory research suggest that the adverse changes may be inter-related and have a common origin in fetal life or childhood. Exposure of the male fetus to supranormal levels of estrogens, such as diethlylstilbestrol, can result in the above-mentioned reproductive defects. The growing number of reports demonstrating that common environmental contaminants and natural factors possess estrogenic activity presents the working hypothesis that the adverse trends in male reproductive health may be, at least in part, associated with exposure to estrogenic or other hormonally active (e.g., antiandrogenic) environmental chemicals during fetal and childhood development. An extensive research program is needed to understand the extent of the problem, its underlying etiology, and the development of a strategy for prevention and intervention.Supported by EU Contract BMH4-CT96-0314