Tailoring Guidance in Internet-Based Interventions With Motive-Oriented Therapeutic Relationship.

Guidance is commonly used in Internet interventions. However, there is little work on how guidance can be optimally implemented in guided self-help approaches. Despite some general models on guidance, there is no theoretical framework as how to optimally individualize the guidance to the participants needs. The Motive-Oriented Therapeutic Relationship (MOTR) approach is based on the Plan Analyses (Caspar, 1995, 2022) and allows the therapist to provide answers that fulfil the participant’s needs in a way that is acceptable for the participants and is useful for the therapeutic goals. We argue that MOTR can be applied to guidance in Internet interventions and that it can improve adherence and outcome through different processes that help the participant navigate through different difficulties encounter during the completion of an internet intervention

Touch as a Stress Buffer? Gender Differences in Subjective and Physiological Responses to Partner and Stranger Touch

Interpersonal touch buffers against stress under challenging conditions, but this effect depends on familiarity. People benefit from receiving touch from their romantic partners, but the results are less consistent in the context of receiving touch from an opposite-gender stranger. We propose that there may be important gender differences in how people respond to touch from opposite-gender strangers. Specifically, we propose that touch from an opposite-gender stranger may only have stress-buffering effects for men, not women. Stress was induced as participants took part in an emotion recognition task in which they received false failure feedback while being touched from a romantic partner or stranger. We measured subjective and physiological markers of stress (i.e., reduced heart rate variability) throughout the experiment. Neither stranger’s nor partner’s touch had any effect on subjective or physiological markers of stress for men. Women, however, subjectively experienced a stress-buffering effect of partner and stranger touch, but showed increased physiological markers of stress when receiving touch from an opposite-gender stranger. These results highlight the importance of considering gender when investigating touch as a stress buffer

Sexual Nostalgia as a Response to Unmet Sexual and Relational Needs: The Role of Attachment Avoidance

Romantic relationships help people meet needs for connection and emotional and sexual fulfillment. In the current research, we investigate an unexplored response to feeling sexually and relationally unfulfilled: reflecting on positive sexual experiences with past partners (or sexual nostalgia). Across three studies, people low in attachment avoidance (i.e., comfortable with closeness) who were (a) single or (b) sexually or relationally dissatisfied reported greater sexual nostalgia, whereas people high in attachment avoidance (i.e., value autonomy) did not calibrate their feelings of sexual nostalgia based on their current relationship status or satisfaction. Sexual fantasies about past partners (i.e., sexual nostalgia) were distinct from other types of sexual fantasies (Study 1) and the effects could not be attributed to general nostalgia (Study 2) or sexual desire (Study 3). Chronic sexual nostalgia detracted from satisfaction over time. The findings have implications for theories of nostalgia and attachment and for managing unfulfilled needs in relationships

Affectionate communication, health, and relationships

A robust body of research attests to the mental and physical health correlates and consequences of affectionate communication. Like much research on personal relationships, however, this work may overrepresent certain portions of the population, may underrepresent others, and may not effectively account for intersections of identities. We define intersectionality as comprising the unique effects of two or more social identities interacting with each other. To assess this literature with an eye toward intersectionality and representation, the present article reports a systematic review of 86 individual empirical studies representing 26,013 participants. The review concludes that there is no explicit or implicit attention to intersectionality in the existing research on affectionate communication and health, and that U.S. Americans, women, younger individuals, white individuals, and students are overrepresented in research samples. The review ends with future directions to encourage more inclusive research on this topic

Daily Work Stress and Relationship Satisfaction: Detachment Affects Romantic Couples' Interactions Quality

Psychologically detaching from work in the private setting is crucial to recover from work stress and promotes well-being. Moreover, broad evidence documents negative effects of stress on relationship quality. However, the interpersonal consequences of detachment have barely been studied. We seek to investigate, in daily life, whether and how detachment affects the interaction quality with the romantic partner. We propose that stress impedes detaching from work, and that detachment in turn, promotes individuals’ ability to engage in positive interactions at home, which increases individual and relational well-being. In a first experience sampling study, involving 106 dual-earner couples with young children, detachment mediated the association between work stress and not only the stressed individual’s, but also their partner’s relationship quality. However, positive (affectionate) behaviors did not play a significant role in this process. In a second experience sampling study, involving 53 dual-earner couples with preschool children, detachment was associated with more affectionate interactions, which in turn, predicted lower actor, but not partner evening strain. These results suggest that detachment from work not only affects the working individual’s, but also their close partner’s the perception of their interactions, showing that detachment plays an important mediating role in the stress spillover and crossover process. This emphasizes the relevance of addressing interpersonal processes in the association between detachment and well-being

Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies

Given the powerful implications of relationship quality for health and well-being, a central mission of relationship science is explaining why some romantic relationships thrive more than others. This large-scale project used machine learning (i.e., Random Forests) to 1) quantify the extent to which relationship quality is predictable and 2) identify which constructs reliably predict relationship quality. Across 43 dyadic longitudinal datasets from 29 laboratories, the top relationship-specific predictors of relationship quality were perceived-partner commitment, appreciation, sexual satisfaction, perceived-partner satisfaction, and conflict. The top individual-difference predictors were life satisfaction, negative affect, depression, attachment avoidance, and attachment anxiety. Overall, relationship-specific variables predicted up to 45% of variance at baseline, and up to 18% of variance at the end of each study. Individual differences also performed well (21% and 12%, respectively). Actor-reported variables (i.e., own relationship-specific and individual-difference variables) predicted two to four times more variance than partner-reported variables (i.e., the partner’s ratings on those variables). Importantly, individual differences and partner reports had no predictive effects beyond actor-reported relationship-specific variables alone. These findings imply that the sum of all individual differences and partner experiences exert their influence on relationship quality via a person’s own relationship-specific experiences, and effects due to moderation by individual differences and moderation by partner-reports may be quite small. Finally, relationship-quality change (i.e., increases or decreases in relationship quality over the course of a study) was largely unpredictable from any combination of self-report variables. This collective effort should guide future models of relationships