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Objectives: Loneliness is associated with maladaptive cognitions, yet little is known about the association between loneliness and intrusive thinking during older adulthood. Links between loneliness and intrusive thoughts may be particularly strong among individuals with mild cognitive impairment (MCI), who may have greater difficulty regulating emotion and intrusive thoughts. In contrast, having close relationships (e.g. being married) may serve as a protective factor as marital status is associated with better overall well-being., Method: Participants were 316 older adults (recruited from the Bronx, NY, as part of a larger study) without dementia at study intake (40% Black; 13% Hispanic, M age = 77.45 years, 67% women) who completed ecological momentary assessments five times daily for 14 consecutive days (13,957 EMAs total). Multilevel modeling was used to examine the association between momentary loneliness and intrusive thoughts and whether MCI and marital status interacted to moderate this association., Results: There was a significant three-way interaction ( β = -0.17, p  < 0.05), such that lagged momentary loneliness was positively associated with intrusive thoughts (3-4 h later) for those with MCI who were not married., Conclusion: Findings suggest that among older adults with MCI, being married may be a protective factor and being unmarried may be a risk factor for experiencing loneliness and subsequent intrusive thoughts.

Objectives: Despite extensive efforts to study individual differences in loneliness and neurocognitive health, little is known about how within-person changes in state loneliness relate to cognitive performance. This study addressed this gap by examining the association between within-person variation in state loneliness and cognitive performance assessed objectively in daily life., Methods: Participants were 313 community-dwelling older adults (70-90 years) who reported momentary feelings of loneliness and completed smartphone-based cognitive tests 5 times daily for 14 consecutive days. Mobile cognitive tests assess visual associative memory, processing speed, and spatial memory., Results: At the day level, average state loneliness levels were negatively related to cognitive performance on the same day and subsequent day. Consistent with the day-level analysis, momentary assessments of increased loneliness were consistently linked to worse cognitive performance on concurrent assessments. However, moments characterized by lower cognitive performance predicted higher levels of loneliness 3-4 hr later (next occasion), but not vice versa., Discussion: The findings suggest a prospective association between loneliness and cognitive performance, with higher daily loneliness negatively associated with cognitive performance on the same day and predicting worse performance the following day. Notably, within a single day, lower cognitive performance at a given moment predicted elevated loneliness later in the day. This highlights a complex, reciprocal relationship-loneliness predicting and being predicted by cognitive performance depending on timescale., (© The Author(s) 2024. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints. All other permissions can be obtained through our RightsLink service via the Permissions link on the article page on our site—for further information please contact journals.permissions@oup.com.)

Loneliness influences how people experience and respond to stressors, which may account for its role as a risk factor for morbidity and mortality. The present study was motivated by emerging evidence that affective responses to minor daily events have long-term implications for health and well-being. Specifically, we evaluated how individual differences in loneliness relate to the frequency of everyday stressors and stressor-related negative emotions. A diverse community sample of 255 adults (age 25-65 years) completed ecological momentary assessments (EMA), during which they reported recent stressors and current negative affect (NA) five times a day for 14 days. Multilevel logistic analyses indicated that there was a quadratic association between loneliness and likelihood of reporting stressors, controlling for demographics, social isolation, depressive symptoms, and context (current activities, current location). Multilevel regression indicated that loneliness was unrelated to the concurrent effect of stressors on NA but significantly larger lagged stressor effects were observed among individuals in the low and high ranges of loneliness. These findings suggest that individuals with high levels of loneliness are more likely to experience everyday stressors and have prolonged emotional responses following stressors., (© 2023 The Authors. Stress and Health published by John Wiley & Sons Ltd.)

Although a large number of databases are available for regulatory elements, a bottleneck has been created by the lack of bioinformatics tools to predict the interaction modes of regulatory elements. To reduce this gap, we developed the Arabidopsis Transcription Regulatory Factor Domain/Domain Interaction Analysis Tool-liquid/liquid phase separation (LLPS), oligomerization, GO analysis (ART FOUNDATION-LOG), a useful toolkit for protein-nucleic acid interaction (PNI) and protein-protein interaction (PPI) analysis based on domain-domain interactions (DDIs). LLPS, protein oligomerization, the structural properties of protein domains, and protein modifications are major components in the orchestration of the spatiotemporal dynamics of PPIs and PNIs. Our goal is to integrate PPI/PNI information into the development of a prediction model for identifying important genetic variants in peaches. Our program unified interdatabase relational keys based on protein domains to facilitate inference from the model species. A key advantage of this program lies in the integrated information of related features, such as protein oligomerization, LOG analysis, structural characterizations of domains (e.g., domain linkers, intrinsically disordered regions, DDIs, domain-motif (peptide) interactions, beta sheets, and transmembrane helices), and post-translational modification. We provided simple tests to demonstrate how to use this program, which can be applied to other eukaryotic organisms.

Being threatened or injured with a weapon is a serious form of physical bullying. Little is known about the effects of being threatened or injured with a weapon on substance use and mental health among adolescents. A secondary analysis of 2017 Youth Risk Behavior Survey data assessed the associations between having been threatened or injured with a weapon and substance use (binge drinking, marijuana, tobacco use, prescription medication misuse) and mental health (feeling sad or hopeless, considering suicide). Multiple logistic regression models with complex survey weights were used, controlling for potential confounders. Approximately 6.0% of students reported having been threatened/injured with a weapon. After adjusting for covariates, having been threatened/injured with a weapon was associated with binge drinking (AOR = 2.5; 95% CI: 1.9-3.4), marijuana (AOR = 2.1; 95% CI: 1.6-2.7), tobacco use (AOR = 2.6; 95% CI: 2.0-3.5), and misuse of prescription medication (AOR = 2.2; 95% CI: 1.6-3.0) compared with students who have not been threatened/injured. Having been threatened/injured with a weapon was associated with 1.6 times the odds (95% CI: 1.2-2.2) of feeling sad/hopeless and 1.7 times the odds (95% CI: 1.3-2.3) of considering suicide. Having been threatened or injured with a weapon is an important public health issue associated with negative mental health and substance use.

Background: Individuals' emotional responses to stressors in everyday life are associated with long-term physical and mental health. Among many possible risk factors, the stressor-related emotional responses may play an important role in future development of depressive symptoms., Purpose: The current study examined how individuals' positive and negative emotional responses to everyday stressors predicted their subsequent changes in depressive symptoms over 18 months., Methods: Using an ecological momentary assessment approach, participants (n = 176) reported stressor exposure, positive affect (PA), and negative affect (NA) five times a day for 1 week (n = 5,483 observations) and provided longitudinal reports of depressive symptoms over the subsequent 18 months. A multivariate multilevel latent growth curve model was used to directly link the fluctuations in emotions in response to momentary stressors in everyday life with the long-term trajectory of depressive symptoms., Results: Adults who demonstrated a greater difference in stressor-related PA (i.e., relatively lower PA on stressor vs. nonstressor moments) reported larger increases in depressive symptoms over 18 months. Those with greater NA responses to everyday stressors (i.e., relatively higher NA on stressor vs. nonstressor moments), however, did not exhibit differential long-term changes in depressive symptoms., Conclusions: Adults showed a pattern consistent with both PA and NA responses to stressors in everyday life, but only the stressor-related changes in PA (but not in NA) predicted the growth of depressive symptoms over time. These findings highlight the important-but often overlooked-role of positive emotional responses to everyday stressors in long-term mental health., (© Society of Behavioral Medicine 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)