Attentional Bias for Threat and Anxiety: The Role of Loneliness

Threatened by others or by everything? The effects of momentary and trait loneliness on daily appraisals of social company and being alone in young adults

Theoretical accounts of loneliness suggest that it may lead to psychopathological consequences by increasing the perception of social threat. However, it is unclear whether the real-life effects of both trait and state loneliness are specific to social situations. To answer this question, two experience sampling studies were conducted with prestratified samples of young adults (18-35) with moderate (Study 1, N = 64) or low and high (Study 2, N = 103) levels of loneliness. Participants were asked to report their emotional states and appraisals of social and nonsocial situations. Multilevel modelling of momentary and time-lagged associations revealed that trait loneliness was associated with less positive (Study 1) and more negative (Study 2) company appraisals. Importantly, in Study 2, trait loneliness was also related to less positive and more negative appraisals of being alone. Momentary loneliness was related to less positive and more negative appraisals of both types and predicted negative social appraisals over time in both studies. In Study 2, time-lagged interaction effects on social appraisals were found between the two levels. The results suggest that in highly lonely individuals, both levels of loneliness may lead to a general negativity bias and have a synergistic effect.

COVID-19 pandemic’s impact on networks of depression and anxiety in naturalistic transdiagnostic sample of outpatients with non-psychotic mental illness

Background

The 2019 coronavirus disease (COVID-19) pandemic has caused an unprecedented disruption of daily lives and a mental health crisis. The present study examined how the depression and anxiety symptom network changed during the COVID-19 pandemic in a naturalistic transdiagnostic sample with non-psychotic mental illness.

Materials and methods

A total of 224 psychiatric outpatients before the pandemic and 167 outpatients during the pandemic were included in the study and were assessed for the Patient Health Questionnaire and the Beck Anxiety Inventory. The network of depression and anxiety symptoms before and during the pandemic were estimated separately and were assessed differences.

Results

The network comparison analysis showed a significant structural difference between the networks before and during the pandemic. Before the pandemic, the most central symptom in the network was feelings of worthlessness, while in the during pandemic network, somatic anxiety emerged as the most central node. Somatic anxiety, which showed the highest strength centrality during the pandemic, showed significantly increased correlation with suicidal ideation during the pandemic.

Limitations

The two cross-sectional network analyses of individuals at one point in time cannot demonstrate causal relationships among measured variables and cannot be assumed to generalize to the intraindividual level.

Conclusion

The findings indicate that the pandemic has brought a significant change in the depression and anxiety network and somatic anxiety may serve as a target for psychiatric intervention in the era of the pandemic.

Intergroup Contact Alleviates Loneliness: The Extensive Effect of Common Ingroup Identity

Purpose

Previous studies show that intergroup contact, through common ingroup identity, has impact on intergroup processes such as reducing intergroup bias, improving intergroup relations, etc. The effect of intergroup contact on individual psychological process (through common ingroup identity), however, needs further exploration. Based on the positive effect of both intergroup contact and ingroup identification on mental health and well-being, this article proposes and tests a new model of individual loneliness reduction through intergroup contact by promoting common ingroup identity.

Methods

A total of 263 majority ethnic members and 275 minority ethnic members from China participated in the survey. Intergroup contact, common ingroup identity and loneliness were measured at three time-points (T1-T3) over an 8-month period. Longitudinal mediation analysis and parallel process Latent Growth Curve Model for mediation are used for the examination of the indirect effect of common ingroup identity.

Results

Longitudinal mediation analysis showed that intergroup contact quality at T1 positively predicted common ingroup identity at T2, and common ingroup identity at T2 alleviated loneliness at T3. Intergroup contact quality at T1 was indirectly linked to loneliness at T3 via common ingroup identity at T2. The parallel process latent growth curve model for mediation confirmed the robustness of the indirect effect of common ingroup identity. In addition, the growth rate of the quality of intergroup contact increased the growth rate of common ingroup identity, but reduced the growth rate of loneliness.

Conclusion

The current study revealed the protectiveness of intergroup contact and common ingroup identity on loneliness, viz., intergroup contact reduces individual loneliness by promoting common ingroup identity, the implication being that intergroup contact and common ingroup identity should be taken into account in intervening process of loneliness prevention so that an individual's physical and mental health could be better safeguarded.

Has Smartphone Use Influenced Loneliness during the COVID-19 Pandemic in Japan?

The influence of smartphone use on increased risk of feeling lonely has been recognized as a global public health concern. However, it is unclear whether this influence has changed during the ongoing COVID-19 pandemic, during which smartphones have become a particularly important means of communication due to health safety measures restricting personal interactions. We used Hiroshima University's online survey data collected from 18-28 February 2022, to assess the impact of smartphone use on loneliness in Japan. The final sample included 2630 participants aged over 20 years, with loneliness measured using the UCLA scale and smartphone use calculated as the duration of usage in minutes/day. Weighted logit regression analysis was used to examine the association between smartphone use and loneliness, with other demographic, socioeconomic, and psychological characteristics as explanatory variables. Contrary to conventional evidence, our findings show that smartphone use mitigated the risk of loneliness during the pandemic. This was especially true among females under 65 years old. We found that age, subjective health status, future anxiety, and depression impacted this relationship. The findings of this study can help guide policymaking by showing the importance of providing adequate digital platforms to manage loneliness and mental health during times of isolation.

Affective Neuroscience of Loneliness: Potential Mechanisms underlying the Association between Perceived Social Isolation, Health, and Well-Being

Loneliness, or the subjective feeling of social isolation, is an important social determinant of health. Loneliness is associated with poor physical health, including higher rates of cardiovascular disease and dementia, faster cognitive decline, and increased risk of mortality, as well as disruptions in mental health, including higher levels of depression, anxiety, and negative affect. Theoretical accounts suggest loneliness is a complex cognitive and emotional state characterized by increased levels of inflammation and affective disruptions. This review examines affective neuroscience research on social isolation in animals and loneliness in humans to better understand the relationship between perceptions of social isolation and the brain. Loneliness associated increases in inflammation and neural changes consistent with increased sensitivity to social threat and disrupted emotion regulation suggest interventions targeting maladaptive social cognitions may be especially effective. Work in animal models suggests the neural changes associated with social isolation may be reversible. Therefore, ameliorating loneliness may be an actionable social determinant of health target. However, more research is needed to understand how loneliness impacts healthy aging, explore the role of inflammation as a potential mechanism in humans, and determine the best time to deliver interventions to improve physical health, mental health, and well-being across a diverse array of populations.