An official website of the United States government
Receiving high-quality support confers many benefits. Yet, little is known about how support-seekers can elicit high-quality support. In two experiments and a couples’ interaction study, we examined how (and why) expressing negative thoughts and feelings affects romantic partners’ support and considered whether this depends on the severity of the stressor the support-seeker is facing. In Study 1, romantically involved participants who read a high (vs. low)-negative expressivity support-seeking text message wrote higher-quality support responses in both serious and trivial stressor contexts. Study 2 conceptually replicated these effects with new stressors. In Study 3, support-seekers who expressed more (vs. less) negativity during a face-to-face conversation with their romantic partner about a recent stressor received support higher in regulatory effectiveness (an index of support quality). Mediation analyses in Studies 2 and 3 suggested that negativity may enhance support, even for trivial stressors, by increasing provider perceptions that support is needed.
more »
« less
Expressing the good in bad times: Examining whether and why positive expressivity in negative contexts affects romantic partners’ responsive support provision.
Receiving high-quality, responsive support in times of distress is critical but difficult. In a theoretical review, we previously proposed a process model that explains why support-seekers’ positive expressivity can elicit—but may sometimes suppress—supportive responses from partners (providers) within distress-related contexts. In the current work, we aimed to test direct and indirect pathways linking seeker’s positive expressivity in negative disclosures to provider’s support while addressing notable gaps in the existing literature. Studies considered seeker-expressed positivity as broad, unitary construct (Studies 1, 2, and 4) and explored different types of positivity (Studies 1, 3, and 4): partner-oriented positivity (e.g., gratitude), stressor-oriented positivity (e.g., optimism), and unspecified positivity (e.g., pleasant demeanor). In behavioral observation studies of romantic couples (Studies 1 and 4), seeker-expressed positivity in negative disclosures positively predicted provider responsiveness, even when controlling for seeker-expressed negativity and other plausible third variables. Online experiments with manipulations of seeker-expressed positivity (Studies 2 and 3) yielded causal evidence of positivity’s direct support-eliciting effects. Considering positivity types, partner-oriented positivity and stressor-oriented positivity showed the most robust support-eliciting potential; unspecified positivity also appeared valuable in some contexts. Evidence for several of the model’s indirect pathways emerged in correlational (Study 4) and experimental (Studies 2 and 3) work, providing insights into support-eliciting and support-suppressing mechanisms through which positivity operates. These findings underscore support-seekers’ active role in obtaining support, highlight the value of positive expressivity for eliciting high-quality support, and lay the groundwork for further research on positive expressivity’s effects in support-seeking contexts.
more »
« less
- Award ID(s):
- 1941350
- PAR ID:
- 10492116
- Publisher / Repository:
- American Psychological Association
- Date Published:
- Journal Name:
- Journal of Personality and Social Psychology
- ISSN:
- 0022-3514
- Subject(s) / Keyword(s):
- support-seeking responsiveness close relationships positive emotion coping
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Previous studies have solely focused on establishing Machine Learning (ML) models for automated detection of stress arousal. However, these studies do not recognize stress appraisal and presume stress is a negative mental state. Yet, stress can be classified according to its influence on individuals; the way people perceive a stressor determines whether the stress reaction is considered as eustress (positive stress) or distress (negative stress). Thus, this study aims to assess the potential of using an ML approach to determine stress appraisal and identify eustress and distress instances using physiological and behavioral features. The results indicate that distress leads to higher perceived stress arousal compared to eustress. An XGBoost model that combined physiological and behavioral features using a 30 second time window had 83.38% and 78.79% F 1 -scores for predicting eustress and distress, respectively. Gender-based models resulted in an average increase of 2-4% in eustress and distress prediction accuracy. Finally, a model to predict the simultaneous assessment of eustress and distress, distinguishing between pure eustress, pure distress, eustress-distress coexistence, and the absence of stress achieved a moderate F 1 -score of 65.12%. The results of this study lay the foundation for work management interventions to maximize eustress and minimize distress in the workplace.more » « less
-
Although youth increasingly communicate with peers online, we know little about how private online channels play a role in providing a supportive environment for youth. To fill this gap, we asked youth to donate their Instagram Direct Messages and filtered them by the phrase “help me.” From this query, we analyzed 82 conversations comprised of 336,760 messages that 42 participants donated. These threads often began as casual conversations among friends or lovers they met offline or online. The conversations evolved into sharing negative experiences about everyday stress (e.g., school, dating) to severe mental health disclosures (e.g., suicide). Disclosures were usually reciprocated with relatable experiences and positive peer support. We also discovered unsupport as a theme, where conversation members denied giving support, a unique finding in the online social support literature. We discuss the role of social media-based private channels and their implications for design in supporting youth’s mental health. Content Warning: This paper includes sensitive topics, including self-harm and suicide ideation. Reader discretion is advised.more » « less
-
Older adults (OAs) often prioritize positive over negative information during word processing, termed as positivity bias. However, it is unclear how OAs update the affective representation of a word in contexts. The present study examined whether age-related positivity bias influences the update of the affective representation of a word in different emotional contexts. In Experiment 1 (web-based), younger and older participants read positive and negative target words in positive and negative contexts and rated the valence of the target words. Negative contexts biased the ratings more than positive ones, reflecting a negativity bias during offline valence evaluation in both age groups. In Experiment 2 (EEG), another group of participants read positive and negative target words in positive and negative contexts first, and then the same target words again, and made valence judgment on the target words. OAs showed a larger P2 (180–300 ms) difference before and after contexts for positive target words than younger adults (YAs). This suggests OAs’ early attention to positive features of words in contexts. YAs showed a larger late positive complex (LPC) difference for target words before and after negative contexts than before and after positive contexts, while older adults showed comparable LPC effects across all the conditions. This suggests that YAs use negative contexts to update the affective representation of a word, whereas OAs do so in both positive and negative contexts. Our findings supported a reduced negativity bias in OAs in using (emotional) contexts to update the affective neural representation of a word.more » « less
-
Abstract Networks of direct and indirect biotic interactions underpin the complex dynamics and stability of ecological systems, yet experimental and theoretical studies often yield conflicting evidence regarding the direction (positive or negative) or magnitude of these interactions. We revisited pioneering data sets collected at the deciduous forested Horonai Stream and conducted ecosystem‐level syntheses to demonstrate that the direction of direct and indirect interactions can change depending on the timescale of observation. Prior experimental studies showed that terrestrial prey that enter the stream from the adjacent forest caused positive indirect effects on aquatic invertebrates during summer by diverting fish consumption. Seasonal and annual estimates of secondary production and organic matter flows along food web pathways demonstrate that this seasonal input of terrestrial invertebrate prey increases production of certain fish species, reversing the indirect effect on aquatic invertebrates from positive at the seasonal timescale to negative at the annual timescale. Even though terrestrial invertebrate prey contributed 54% of the annual organic matter flux to fishes, primarily during summer, fish still consumed 98% of the aquatic invertebrate annual production, leading to top‐down control that is not revealed in short‐term experiments and demonstrating that aquatic prey may be a limiting resource for fishes. Changes in the direction or magnitude of interactions may be a key factor creating nonlinear or stabilizing feedbacks in complex systems, and these dynamics can be revealed by merging experimental and comparative approaches at different scales.more » « less
- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1037/pspi0000449
