Social network determinants of depression

Human social isolation and stress: a systematic review of different contexts and recommendations for future studies

OBJECTIVES

The emergence of the coronavirus disease 2019 (COVID-19) pandemic and subsequent lockdowns and social distancing measures adopted worldwide raised questions about the possible health effects of human social isolation.

METHODS

We conducted a systematic review on PubMed, Scopus, and Embase electronic databases using terms related to human social isolation - defined as the isolation of an individual from regular routines and usual social contact - and psychological stress, searching for simulated or naturalistic isolation environments. We present the main results, as well as the validity and limitations of each model. PROSPERO registry number: CRD42021241880.

RESULTS

Despite the diversity of contexts reviewed, some outcomes almost ubiquitously relate to psychological stress, i.e., longer periods, expectation of a longer period, confinement, lack of social interaction, and support. Based on the results, and considering that most studies were not designed for the purpose of understanding isolation itself, we propose a group of recommendations for future experimental or naturalistic research on the topic.

CONCLUSION

Evidence on the impact of different situations in which individuals are subjected to social isolation can assist in development of directed preventive strategies to support people under similar circumstances. Such strategies might increase the general public's compliance with social distancing as a non-pharmacological intervention for emerging infectious diseases.

Universal association between depressive symptoms and social-network structures in the workplace

An unhealthy communication structure at a workplace can adversely affect the mental health of employees. However, little is known about the relationship between communication structures in the workplace and the mental health of employees. Here, we evaluated the face-to-face interaction network among employees (N = 449) in a variety of real-world working environments by using wearable devices and investigated the relationship between social network characteristics and depressive symptoms. We found that the cohesive interaction structure surrounding each individual was negatively correlated with depressive symptoms: a universal relationship regardless of occupation type. This correlation was evident at the group scale and was strongly related to active interactions with abundant body movement. Our findings provide a quantitative and collective perspective on taking a systematic approach to workplace depression, and they suggest that the mental health of employees needs to be addressed systematically, not only individually.

Stepping up to the Canadian opioid crisis: a longitudinal analysis of the correlation between socioeconomic status and population rates of opioid-related mortality, hospitalization and emergency department visits (2000-2017)

INTRODUCTION

High levels of income inequality and increased opioid-related harm across Canada bring into question the role of socioeconomic status (SES) in the opioid epidemic. Only a few studies have examined this association, and most of those have analyzed this issue on a provincial level. This study examined the association between opioid-related health outcomes and SES, and investigated rate ratios over time.

METHODS

Administrative databases were used to identify opioid-related mortality, hospitalization and emergency department visits between 2000 and 2017. Patient's postal code was linked to the quintile of median household income at the forward sortation area level. Crude rates and age- and sex-adjusted rates in each quintile were calculated, as well as the adjusted rate ratio of average annual rates between the lowest and highest quintiles. The significance of the time trend of rate ratios for all outcomes was examined using linear regression.

RESULTS

A stepped gradient of opioid-related outcomes across all income quintiles emerged from these data. For mortality, hospitalization and emergency department visits, the average annual rate ratio between lowest quintile and highest quintile was 3.8, 4.3 and 4.9, respectively. These ratios were generally stable and consistent over the study period, albeit the opioid-related mortality SES gap decreased gradually (p < 0.01).

CONCLUSION

Area income quintile was found to be highly associated with opioid outcomes. Psychosocial factors (stress, unemployment, housing insecurity) that are typically concentrated in low SES areas may play a significant role in the opioid epidemic. Health policies should address these factors in order to provide effective solutions.

Social Networking Service, Patient-Generated Health Data, and Population Health Informatics: National Cross-sectional Study of Patterns and Implications of Leveraging Digital Technologies to Support Mental Health and Well-being

BACKGROUND

The emerging health technologies and digital services provide effective ways of collecting health information and gathering patient-generated health data (PGHD), which provide a more holistic view of a patient's health and quality of life over time, increase visibility into a patient's adherence to a treatment plan or study protocol, and enable timely intervention before a costly care episode.

OBJECTIVE

Through a national cross-sectional survey in the United States, we aimed to describe and compare the characteristics of populations with and without mental health issues (depression or anxiety disorders), including physical health, sleep, and alcohol use. We also examined the patterns of social networking service use, PGHD, and attitudes toward health information sharing and activities among the participants, which provided nationally representative estimates.

METHODS

We drew data from the 2019 Health Information National Trends Survey of the National Cancer Institute. The participants were divided into 2 groups according to mental health status. Then, we described and compared the characteristics of the social determinants of health, health status, sleeping and drinking behaviors, and patterns of social networking service use and health information data sharing between the 2 groups. Multivariable logistic regression models were applied to assess the predictors of mental health. All the analyses were weighted to provide nationally representative estimates.

RESULTS

Participants with mental health issues were significantly more likely to be younger, White, female, and lower-income; have a history of chronic diseases; and be less capable of taking care of their own health. Regarding behavioral health, they slept <6 hours on average, had worse sleep quality, and consumed more alcohol. In addition, they were more likely to visit and share health information on social networking sites, write online diary blogs, participate in online forums or support groups, and watch health-related videos.

CONCLUSIONS

This study illustrates that individuals with mental health issues have inequitable social determinants of health, poor physical health, and poor behavioral health. However, they are more likely to use social networking platforms and services, share their health information, and actively engage with PGHD. Leveraging these digital technologies and services could be beneficial for developing tailored and effective strategies for self-monitoring and self-management.

Investigation of Age-Associated Cognitive Functional Homophily in Community-Dwelling Older Adults' Confidant Social Networks Using Exponential Random Graph Model

One of the prominent interventions to tackle loneliness and social isolation in older adults is social facilitation. The present study investigated whether similarities in cognitive functions that are sensitive to age play a role in confidant social networks among older adults. We analyzed the data of 252 community-dwelling older adults in Wakuya City, Miyagi Prefecture, Japan, who responded to a self-administered questionnaire and cognitive health checkups provided by the city in 2017. We performed Exponential Random Graph Model and investigated educational attainment, orientation, word registration, clock drawing, delayed recall, verbal fluency and logical memory homophily while adjusting for density, reciprocity, age, sex living arrangement, presence of disability in instrumental activities of daily living, educational attainment and cognitive impairment status. The probability of a confidant tie with an older adult was significantly reduced by 6% (odds ratio (OR): 0.94, 95% confidence interval (CI): 0.90–0.99) for one score difference in logical memory, and marginally increased by 5% (OR: 1.05; 95% CI: 1.00–1.11) for one score difference in delayed recall. There was no significant association between educational attainment and other age-associated cognitive functional scores. Our findings suggest that similar logical memory functions play a role in strong social network building among community-dwelling older adults in Japan.

Spread of Negative Affect via Social Media: The Affective Consequences of Viewing Others’ Fortunate and Unfortunate Social Media Posts

Research suggests that viewing successful or fortunate others’ social media portrayals may promote a more negative hedonic experience via social comparison tendencies, but this notion has rarely been tested experimentally. Here, we tested the possibility that viewing fortunate and unfortunate social media portrayals (vs. neutral portrayals) may also promote a negative hedonic experience. In Experiment 1, participants indicated their positive and negative affect before and after viewing either fortunate, unfortunate, or mundane (neutral) social media portrayals. Inconsistent with conventional theorizing, only participants who viewed the unfortunate portrayal reported more negative affect balance than participants who viewed the neutral portrayal. Experiment 2 provided conceptually similar results, indicating that participants viewing an unfortunate (vs. fortunate) portrayal indicated more negative affect balance. Although somewhat inconsistent with conventional wisdom, the findings suggest negative hedonic experiences can spread on social media.

Modelling Maternal Depression: An Agent-Based Model to Examine the Complex Relationship between Relative Income and Depression

Depression is a major public health concern among expectant mothers in Canada. Income inequality has been linked to depression, so interventions for reducing income inequality may reduce the prevalence of maternal depression. The current study aims to simulate the effects of government transfers and increases to minimum wage on depression in mothers. We used agent-based modelling techniques to identify the predicted effects of income inequality reducing programs on maternal depression. Model parameters were identified using the All Our Families cohort dataset and the existing literature. The mean age of our sample was 30 years. The sample was also predominantly white (78.6%) and had at least some post-secondary education (89.1%). When income was increased by just simulating an increase in minimum wage, the proportion of depressed mothers decreased by 2.9% (p < 0.005). Likewise, simulating the Canada Child Benefit resulted in a 5.0% decrease in the prevalence of depression (p < 0.001) and Ontario’s Universal Basic Income pilot project resulted in a simulated 5.6% decrease in the prevalence of depression (p < 0.001). We also assessed simulated changes to the mother’s social networks. Progressive income policies and increasing social networks are predicted to decrease the probability of depression.

Peace of mind: Promoting psychological growth and reducing the suffering of combat veterans

The Peace of Mind (POM) program was designed to enable combat veterans in Israel to process their combat experience, address difficulties in the transition to civilian life and facilitate psychological growth as a result of their military experience. During the course of the program, 1068 participants were studied at four time points. Post-traumatic symptoms were measured using the PTSD checklist for DSM-5 (PCL-5), and post-traumatic growth (PTG) was measured using the Post Traumatic Growth Inventory (PTGI). Multilevel Modeling (MLM) was used to assess symptom and psychological trajectories for all participants and for those who began with and without PTSD symptoms, respectively. The results demonstrated that those who began the program with elevated PTSD symptoms experienced a significant reduction in PTSD symptoms following the completion of the intensive element of the program. Additionally, all participants demonstrated an increase in PTG following the intensive section of the program and this was maintained throughout follow-up. The findings indicate that the POM program is beneficial in relation to both positive and negative outcomes of traumatic military experiences though it is clear that the transition from combat to civilian life is more complex than the current measures identify and that further research needs to examine the distinct lifestyle and functional changes which occur following the program.

Social foraging can benefit artisanal fishers who interact with wild dolphins

Abstract

Social foraging decisions depend on individual payoffs. However, it is unclear how individual variation in phenotypic and behavioural traits can influence these payoffs, thereby the decisions to forage socially or individually. Here, we studied how individual traits influence foraging tactics of net-casting fishers who interact with wild dolphins. While net-casting is primarily an individual activity, in the traditional fishery with dolphins, fishers can choose between fishing in cooperative groups or solitarily. Our semi-structured interviews with fishers show their social network is mapped onto these foraging tactics. By quantifying the fishers’ catch, we found that fishers in cooperative groups catch more fish per capita than solitary fishers. By quantifying foraging and social traits of fishers, we found that the choice between foraging tactics—and whom to cooperate with—relates to differences in peer reputation and to similarities in number of friends, propensity to fish with relatives, and frequency of interaction with dolphins. These findings indicate different payoffs between foraging tactics and that by choosing the cooperative partner fishers likely access other benefits such as social prestige and embeddedness. These findings reveal the importance of not only material but also non-material benefits of social foraging tactics, which can have implications for the dynamics of this rare fishery. Faced with the current fluctuation in fishing resource availability, the payoffs of both tactics may change, affecting the fishers’ social and foraging decisions, potentially threatening the persistence of this century-old fishery involving humans and wildlife.

Significance statement

Social foraging theory proposes that decisions to forage in groups are primarily driven by cost–benefit trade-offs that individuals experience, but it remains unclear whether, and how much, individual foragers’ characteristics influence these trade-offs and consequently the choice to forage in social groups. We study the artisanal net-casting fishers who choose between cooperating with each other or fishing alone when engaging in a rare interaction with wild dolphins. Our findings suggest that cooperative fishers capture more fish than solitary fishers, and that by choosing cooperative partners based on similarities and differences in key social (peer reputation, kinship, friendships) and foraging (fishing frequency) traits; these fishers also experience higher social prestige and more social embeddedness. These results suggest that material gains from foraging—but also non-material benefits accrued from socializing with like-minded individuals—can influence the dynamics of human social foraging.

Exploring the role of social capital, self-efficacy and social contagion in shaping lifestyle and mental health among students representing the future healthcare workforce in Palestine: social cohort study protocol

INTRODUCTION

Non-communicable diseases (NCDs) and depression form an unhealthy mix. The project focuses on potentially effective psychosocial factors shaping health-related habits and mental health. The study is conducted among health domain students. Understanding what shapes their health will determine their quality of care. The study is implemented at An-Najah National University in Palestine. This zone of continuous conflict psychological stress is high and mental health problems are stigmatised.

METHODS AND ANALYSIS

Students who are enrolled in second and third year will be invited to fill in a baseline and two follow-up online questionnaires. The questionnaires will assess: health behaviours and outcomes (health-related habits, obesity and mental health), main predictors (social capital, social network, self-efficacy), confounders (general and sociodemographic characteristics) and effect modifiers (sense of coherence (SOC) and family SOC). Friendships within participating students will be identified by allowing students to name their friends from a pull-down menu of all students. Descriptive statistics and scores will describe participant's characteristics. The relationship between health behaviour, outcomes and main predictors will be examined by regression and structural equation models. Clustering of health behaviours and outcomes will be assessed by permutation tests. Their spread within the network of friends will be investigated by longitudinal generalised estimating equations.

DISCUSSION

The study will identify the prevalence of NCD-related health habits and mental health aspects in the future healthcare workforce in Palestine. It will be the first study to address the role of psychosocial factors for the targeted students. It has the potential to identify targets for promoting physical and mental health among these future professionals.

ETHICS AND DISSEMINATION

Ethical approval was obtained from Ethikkommission Nordwest- und Zentralschweiz (EKNZ) in Switzerland and the Institutional Review Board Committee (IRBC) in Palestine. Participation in the study is voluntary and requires informed consent. The data management methodology ensures the confidentiality of the data. The outcomes of the study will be published as scientific papers. In addition, it will be presented in stakeholder conferences and to students at An-Najah National University.

Revealing traces of depression through personal statements analysis in social media

Depression is a common and very important health issue with serious effects in the daily life of people. Recently, several researchers have explored the analysis of user-generated data in social media to detect and diagnose signs of this mental disorder in individuals. In this regard, we tackled the depression detection task in social media considering the idea that terms located in phrases exposing personal statements (i.e., phrases characterized by the use of singular first person pronouns) have a special value for revealing signs of depression. First, we assessed the value of the personal statements for depression detection in social media. Second, we adapted an automatic approach that emphasizes the personal statements by means of a feature selection method and a term weighting scheme. Finally, we addressed the task in hand as an early detection problem, where the aim is to detect traces of depression with as much anticipation as possible. For evaluating these ideas, benchmark Reddit data for depression detection was used. The obtained results indicate that the personal statements have high relevance for revealing traces of depression. Furthermore, the results on early scenarios demonstrated that the proposed approach achieves high competitiveness compared with state-of-the-art methods, while maintaining its simplicity and interpretability.

At the core of cyberaggression: A group-based explanation

In this study, prototypicality of the aggressor was tested as a group‐level factor predicting social media users’ active participation in cyberaggression. Participants were exposed to a fictitious conversation, in which either a prototypical versus non‐prototypical user posted an aggressive comment as a reply to a provocative comment. In line with self‐categorization theory, we hypothesized that bystander participants would post an aggressive comment and rate the aggression as acceptable to a greater extent in the prototypical than in the non‐prototypical condition. Furthermore, we predicted that perceived normativity of aggression would mediate the effect of prototypicality. Results supported these predictions and showed that prototypical members affect the extent to which collective aggressive behaviors in online interactions are approved and enacted. These findings highlight the importance of group‐level factors in the study of cyberaggression and provide important information for understanding the psychological underpinnings of collective forms of online aggression.

The Contagion of Psychopathology across Different Psychiatric Disorders: A Comparative Theoretical Analysis

Psychopathology is often studied and treated from an individual-centered approach. However, studies have shown that psychological distress is often best understood from a contextual, environmental perspective. This paper explores the literature on emotional contagion and symptom transmission in psychopathology, i.e., the complex ways in which one person's psychological distress may yield symptoms among others in his/her close environment. We argue that emotions, cognitions, and behaviors often do not stay within the borders of the individual, but rather represent intricate dynamic experiences that are shared by individuals, as well as transmitted between them. While this claim was comprehensively studied in the context of some disorders (e.g., secondary traumatization and the "mimicking" of symptoms among those close to a trauma survivor), it was very scarcely examined in the context of others. We aim to bridge this gap in knowledge by examining the literature on symptom transmission across four distinct psychiatric disorders: PTSD, major depression, OCD, and psychosis. We first review the literature on emotional contagion in each disorder separately, and then we subsequently conduct a comparative analysis highlighting the shared and differential mechanisms underlying these processes in all four disorders. In this era of transdiagnostic conceptualizations of psychopathology, such an examination is timely, and it may carry important clinical implications.

The social contagion of temporal discounting in small social networks

Decisions often require a tradeoff between immediate and long-term gratification. How individuals resolve such tradeoffs reflects constructs such as temporal discounting, the degree that individuals devalue delayed rewards. Recent research has started to focus on temporal decisions made in collaborative contexts (e.g., dyads, small groups). Results suggest that directly interacting with others leads to revisions in preferences, such that decision makers become more similar to their collaborative partners over time (e.g., more patient following collaboration with a patient other). What remains to be seen is whether this social influence extends to indirect social effects, such as when an individual influences another’s preferences through a shared collaborative partner. In the current study, the focus was on decisions regarding hypothetical monetary rewards. Groups of three participated in a collaborative decision-making chain, in which network member X collaborated with member Y, who then subsequently collaborated with member Z. Though network members X and Z never directly interacted, a significant indirect link was observed between member X’s pre-collaborative decision preferences and member Z’s post-collaborative decision preferences. These results demonstrate that temporal decision preferences can be transmitted through intervening connections in a small social network (i.e., social contagion), showing that indirect social influence can be empirically observed and measured in controlled environments.

Objective Job Demands of Oneself and One's Partner, and Depressive Symptoms. Evidence from a Nationally Representative Longitudinal Study

Background: Job characteristics are an important predictor of depressive symptoms. Recent research detected unemployment’s spillover effects on spouses’ depressive symptoms, but there is still a lack of studies that examine the association between objective job demands of oneself and one’s partner and depressive symptoms. Methods: Data were derived from the German Ageing Survey (DEAS), which is a representative sample that includes individuals aged 40 years and older. Psycho-social, physical, and overall job characteristics were assessed objectively, using a validated index developed by Kroll. Depressive symptoms were quantified by the Center for Epidemiologic Studies Depression Scale (CES-D). Results: Regarding fixed-effects regression, we found no significant association between the own or the partner’s job demands and depression among the total sample and among men. However, among women, both increasing psychosocial demands of one’s own occupation and physical job demands of one’s partner’s occupation were related to higher levels of depression, as well as the partner’s overall job demands. Conclusions: The findings of the present longitudinal study highlight the association between job demands and depressive symptoms in women, but not in men, especially regarding the partner’s employment characteristics. Efforts to reduce the burden of high job demands may be helpful. This could help alleviate depressive symptoms. In turn, geriatric giants caused by increased depressive symptoms, such as frailty, could be postponed.

The influence of endogenous behaviors among social pairs: Social interaction effects of smoking

We model the observed smoking outcomes of an individual and her social contact - a spouse, friend, sibling, parent or adult child - as a simultaneous move game with complete information. We allow an individual's smoking behavior to depend on her previous behavior and carefully account for observed and unobserved heterogeneity. Our econometric model addresses simultaneity, homophily, health endogeneity, non-random attrition, and multiplicity of equilibria together. Using network data from the Framingham Heart Study, we find smaller social interaction effects among spouses and friends than Christakis and Fowler (2008) who pioneered such exploration with these data. We also find that social interaction impacts of the endogenous behaviors of siblings or a parent and an adult child are not statistically significant after disentangling them from homophily. In addition, we find that the effects of social contacts' cardiovascular disease shocks on individual smoking behavior are not statistically significant.

Emotional Contagion in the Online Depression Community

Negative emotions are prevalent in the online depression community (ODC), which potentially puts members at risk, according to the theory of emotional contagion. However, emotional contagion in the ODC has not been confirmed. The generalized estimating equation (GEE) was used to verify the extent of emotional contagion using data from 1548 sample users in China's popular ODC. During interaction, the emotional themes were analyzed according to language use. The diurnal patterns of the interaction behaviors were also analyzed. We identified the susceptible groups and analyzed their characteristics. The results confirmed the occurrence of emotional contagion in ODC, that is, the extent to which the user's emotion was affected by the received emotion. Our study also found that when positive emotional contagion occurred, the replies contained more hopefulness, and when negative emotional contagion occurred, the replies contained more hopelessness and fear. Second, positive emotions were easier to spread, and people with higher activity in ODC were more susceptible. In addition, nighttime was an active period for user interaction. The results can help community managers and support groups take measures to promote the spread of positive emotions and reduce the spread of negative emotions.

The role of parenting, self-compassion and friendships in depressive symptoms among young people in the UK and China

Self-compassion, being kind to oneself in difficult times, is a way of relating to oneself that promotes better mental health, but little is known about how self-compassion affects interpersonal relationships. The current study examined the association between self-compassion and adolescent depressive symptoms from an interpersonal perspective in different cultural contexts. Adolescents (N = 422/570, Mean age = 14.44/13.41, UK/China) completed questionnaires about their perceptions of their parents' behaviour towards them, self-compassion, friendships and depressive symptoms. Structural equation modelling revealed that positive parenting was positively associated with higher self-compassion, positive friendship quality, and with fewer depressive symptoms in both samples. Additionally, we confirmed a negative association between self-compassion and depressive symptoms. The pathway from positive parenting to lower depressive symptoms via higher self-compassion was also corroborated in both cultures. Contrary to our hypothesis, positive quality of friendship was associated with higher depressive symptoms in both countries. Conflicts were associated with more depressive symptoms in the Chinese sample only. There was evidence of a negative association between self-compassion and conflicts in the Chinese sample only. Finally, the direct association between self-compassion and depressive symptoms was greater in the UK sample, whereas in the Chinese sample, interpersonal factors were more strongly associated with self-compassion and depressive symptoms. Our findings suggest that self-compassion may be a useful therapeutic target to improve social functioning and mental health among adolescents and that it may be necessary to account for cross-cultural differences in interpersonal factors when designing psychological interventions.

The Human Sleep Paradox: The Unexpected Sleeping Habits of Homo sapiens

The human sleep pattern is paradoxical. Sleep is vital for optimal physical and cognitive performance, yet humans sleep the least of all primates. In addition, consolidated and continuous monophasic sleep is evidently advantageous, yet emerging comparative data sets from small-scale societies show that the phasing of the human pattern of sleep–wake activity is highly variable and characterized by significant nighttime activity. To reconcile these phenomena, the social sleep hypothesis proposes that extant traits of human sleep emerged because of social and technological niche construction. Specifically, sleep sites function as a type of social shelter by way of an extended structure of social groups that increases fitness. Short, high-quality, and flexibly timed sleep likely originated as a response to predation risks while sleeping terrestrially. This practice may have been a necessary preadaptation for migration out of Africa and for survival in ecological niches that penetrate latitudes with the greatest seasonal variation in light and temperature on the planet.

Dose-response functions and surrogate models for exploring social contagion in the Copenhagen Networks Study

Spreading dynamics and complex contagion processes on networks are important mechanisms underlying the emergence of critical transitions, tipping points and other non-linear phenomena in complex human and natural systems. Increasing amounts of temporal network data are now becoming available to study such spreading processes of behaviours, opinions, ideas, diseases and innovations to test hypotheses regarding their specific properties. To this end, we here present a methodology based on dose-response functions and hypothesis testing using surrogate data models that randomise most aspects of the empirical data while conserving certain structures relevant to contagion, group or homophily dynamics. We demonstrate this methodology for synthetic temporal network data of spreading processes generated by the adaptive voter model. Furthermore, we apply it to empirical temporal network data from the Copenhagen Networks Study. This data set provides a physically-close-contact network between several hundreds of university students participating in the study over the course of 3 months. We study the potential spreading dynamics of the health-related behaviour "regularly going to the fitness studio" on this network. Based on a hierarchy of surrogate data models, we find that our method neither provides significant evidence for an influence of a dose-response-type network spreading process in this data set, nor significant evidence for homophily. The empirical dynamics in exercise behaviour are likely better described by individual features such as the disposition towards the behaviour, and the persistence to maintain it, as well as external influences affecting the whole group, and the non-trivial network structure. The proposed methodology is generic and promising also for applications to other temporal network data sets and traits of interest.

Developing a socio-computational approach to examine toxicity propagation and regulation in COVID-19 discourse on YouTube

As the novel coronavirus (COVID-19) continues to ravage the world at an unprecedented rate, formal recommendations from medical experts are becoming muffled by the avalanche of toxic content posted on social media platforms. This high level of toxic content prevents the dissemination of important and time-sensitive information and jeopardizes the sense of community that online social networks (OSNs) seek to cultivate. In this article, we present techniques to analyze toxic content and actors that propagated it on YouTube during the initial months after COVID-19 information was made public. Our dataset consists of 544 channels, 3,488 videos, 453,111 commenters, and 849,689 comments. We applied topic modeling based on Latent Dirichlet Allocation (LDA) to identify dominant topics and evolving trends within the comments on relevant videos. We conducted social network analysis (SNA) to detect influential commenters, and toxicity analysis to measure the health of the network. SNA allows us to identify the top toxic users in the network, which led to the creation of experiments simulating the impact of removal of these users on toxicity in the network. Through this work, we demonstrate not only how to identify toxic content related to COVID-19 on YouTube and the actors who propagated this toxicity, but also how social media companies and policy makers can use this work. This work is novel in that we devised a set of experiments in an attempt to show how if social media platforms eliminate certain toxic users, they can improve the overall health of the network by reducing the overall toxicity level.

Social Cost and Health: The Downside of Social Relationships and Social Networks

The research tradition on social relationships, social networks, and health dates back to the beginning of sociology. As exemplified in the classic work of Durkheim, Simmel, and Tönnies, social relationships and social networks play a double-edged-protective and detrimental-role for health. However, this double-edged role has been given unbalanced attention. In comparison to the salubrious role, the deleterious role has received less scrutiny and needs a focused review and conceptual integration. This article selectively reviews the post-2000 studies that demonstrate the harmful physical and mental health consequences of social relationships (intimate relationships and parenthood) and social networks. It uses a parsimonious three-category typology-structural forms, structural composition, and contents-to categorize relationship and network properties and proposes the social cost model, in contrast to the social resource model, to synthesize and integrate the adverse aspects of these properties. It concludes with future research directions.

The relation between oxytocin receptor gene polymorphisms, adult attachment and Instagram sociability: An exploratory analysis

Oxytocin is a primary neuropeptide which coordinates affiliative behavior. Previous researchers pointed to the association between genetic vulnerability on Oxytocin Receptor Gene (OXTR) and environmental factors (e.g., social relationships) to comprehend social behavior. Although an extensive knowledge of in-person social interactions has been obtained, little is known about online sociability. A gene-environment perspective is adopted to examine how OXTR and adult attachment moderate Instagram behavior. The genetic factors within the regions OXTR/rs53576 (A/A homozygotes vs G-carriers) and OXTR/rs2254298 (G/G homozygotes vs A-carriers) were assessed. The Experience in Close Relationships-Revised (ECR-R) questionnaire was used to collect participants' (N = 57, 16 males) attachment with a partner. The number of posts, followed people ("followings") and followers were obtained from Instagram, and the Social Desirability Index (SDI) was calculated as the ratio of followers to followings. Interaction effects between OXTR groups and ECR-R scores on the number of posts and SDI were hypothesized. Results showed an effect of rs53576 on the number of Instagram followings. Specifically, people with A/A OXTR/rs53576 genotype had more followings than G-carriers independent of the anxiety or avoidance felt towards their partner. These preliminary results offer insights into future investigations on social media behavior.

Evidence and theory for lower rates of depression in larger US urban areas

It is commonly assumed that cities are detrimental to mental health. However, the evidence remains inconsistent and at most, makes the case for differences between rural and urban environments as a whole. Here, we propose a model of depression driven by an individual's accumulated experience mediated by social networks. The connection between observed systematic variations in socioeconomic networks and built environments with city size provides a link between urbanization and mental health. Surprisingly, this model predicts lower depression rates in larger cities. We confirm this prediction for US cities using four independent datasets. These results are consistent with other behaviors associated with denser socioeconomic networks and suggest that larger cities provide a buffer against depression. This approach introduces a systematic framework for conceptualizing and modeling mental health in complex physical and social networks, producing testable predictions for environmental and social determinants of mental health also applicable to other psychopathologies.

A Mobile Peer Intervention for Preventing Mental Health and Substance Use Problems in Adolescents: Protocol for a Randomized Controlled Trial (The Mind Your Mate Study)

Background

Anxiety, mood, and substance use disorders have significant social and economic impacts, which are largely attributable to their early age of onset and chronic disabling course. Therefore, it is critical to intervene early to prevent chronic and debilitating trajectories.

Objective

This paper describes the study protocol of a CONSORT (Consolidated Standards of Reporting Trials)-compliant randomized controlled trial for evaluating the effectiveness of the Mind your Mate program, a mobile health (mHealth) peer intervention that aims to prevent mental health (focusing on anxiety and depression) and substance use problems in adolescents.

Methods

Participants will consist of approximately 840 year 9 or year 10 students (60 students per grade per school) from 14 New South Wales high schools in Sydney, Australia. Schools will be recruited from a random selection of independent and public schools across the New South Wales Greater Sydney Area by using publicly available contact details. The intervention will consist of 1 introductory classroom lesson and a downloadable mobile app that will be available for use for 12 months. Schools will be randomly allocated to receive either the mHealth peer intervention or a waitlist control (health education as usual). All students will be given web-based self-assessments at baseline and at 6- and 12-month follow-ups. The primary outcomes of the trial will be the self-reported use of alcohol and drugs, anxiety and depression symptoms, knowledge about mental health and substance use, motives for not drinking, and willingness to seek help. Secondary outcomes will include positive well-being, the quality of life, and the impact of the COVID-19 pandemic. Analyses will be conducted using mixed-effects linear regression analyses for normally distributed data and mixed-effects logistic regression analyses for categorical data.

Results

The Mind your Mate study was funded by an Australian Rotary Health Bruce Edwards Postdoctoral Research Fellowship from 2019 to 2022. Some of the development costs for the Mind your Mate intervention came from a seed funding grant from the Brain and Mind Centre of the University of Sydney. The enrollment of schools began in July 2020; 12 of 14 schools were enrolled at the time of submission. Baseline assessments are currently underway, and the first results are expected to be submitted for publication in 2022.

Conclusions

The Mind your Mate study will generate vital new knowledge about the effectiveness of a peer support prevention strategy in real-world settings for the most common mental disorders in youth. If effective, this intervention will constitute a scalable, low-cost prevention strategy that has significant potential to reduce the impact of mental and substance use disorders.

Trial Registration

Australian New Zealand Clinical Trials Registry ACTRN12620000753954; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=379738&isReview=true

International Registered Report Identifier (IRRID)

DERR1-10.2196/26796

Stressful social environment and financial strain drive depressive symptoms, and reveal the effects of a FKBP5 variant and male sex, in African Americans living in Tallahassee

OBJECTIVES

The World Health Organization estimates that almost 300 million people suffer from depression worldwide. African Americans are understudied for depression-related phenotypes despite widespread racial disparities. In our study of African Americans, we integrated information on psychosocial stressors with genetic variation in order to better understand how these factors associated with depressive symptoms.

METHODS

Our research strategy combined information on financial strain and social networks with genetic data to investigate variation in symptoms of depression (CES-D scores). We collected self-report data on depressive symptoms, financial strain (difficulty paying bills) and personal social networks (a model of an individual's social environment), and we genotyped genetic variants in five genes previously implicated in depressive disorders (HTR1a, BDNF, GNB3, SLC6A4, and FKBP5) in 128 African Americans residing in Tallahassee, Florida. We tested for direct and gene-environment interactive effects of the psychosocial stressors and genetic variants on depressive symptoms.

RESULTS

Significant associations were identified between high CES-D scores and a stressful social environment (i.e., a high percentage of people in participants' social network who were a source of stress) and high financial strain. Only one genetic variant (rs1360780 in FKBP5) was significantly associated with CES-D scores and only when psychosocial stressors were included in the model; the T allele had an additive effect on depressive symptoms. Sex was also significantly associated with CES-D score in the model with psychosocial stressors and genetic variants; males had higher CES-D scores. No significant interactive effects were detected.

CONCLUSIONS

A stressful social environment and material disadvantage increase depressive symptoms in the study population. Additional associations with FKBP5 and male sex were revealed in models that included both psychosocial and genetic data. Our results suggest that incorporating psychosocial stressors may empower future genetic association studies and help clarify the biological consequences of social and financial stress.

Bimodal effects of sunlight on major depressive disorder

BACKGROUND

Seasonal patterns in the effect of sunlight on depression, where depression decreases when sunlight increases, have been observed in previous studies. In this study, we demonstrate a bimodal effect of sunlight on depression - short-term increases in sunlight increase depression and long-term increases in sunlight decrease depression. The analysis showed that the significant effect of sunlight is temporary and appears only when seasonal changes are severe within a given year.

METHODS

We analyzed approximately 530,000 cases where patients visited hospital for depression in Korea from January 1 to December 31, 2016. We measured the daily average amount of sunlight and daily sunlight for the 30 days previous to the day of measurement using data from 96 weather stations. To analyze the effect of sunlight, several climatic variables and local dummies were added to the negative binomial model, and the period in which the effect of sunlight was significant was derived as a term of the interaction between the month variable and sunlight.

RESULTS

When the average effects of climatic factors such as temperature, precipitation, and humidity were removed, the number of cases of depression increased when the daily average amount of sunlight increased [IRR = 1.024 (95% CI: 1.009 to 1.039)]; this effect was significant only in January and May. The number of cases of depression decreased with higher daily average sunlight for the previous 30 days increasing [IRR = 0.917 (95% CI: 0.892 to 0.944)], and this effect was significant only in January, March, and May.

CONCLUSIONS

The effect of sunlight on depression appears in both the short and long terms, but the effect is significant only for limited periods. The data examined in this study supports a pattern where short-term daily sunlight increases depression and daily sunlight for the previous 30 days decreases depression.

Individual- and group-level network-building interventions to address social isolation and loneliness: A scoping review with implications for COVID19

PURPOSE

Worldwide mandates for social distancing and home-quarantine have contributed to loneliness and social isolation. We conducted a systematic scoping review to identify network-building interventions that address loneliness and isolation, describe their components and impact on network structure, and consider their application in the wake of COVID19.

METHODS

We performed forward and backward citation tracking of three seminal publications on network interventions and Bibliographic search of Web of Science and SCOPUS. We developed data charting tables and extracted and synthesized the characteristics of included studies, using an iteratively updating form.

FINDINGS

From 3390 retrieved titles and abstracts, we included 8 studies. These interventions focused on building networks at either individual- or group-levels. Key elements that were incorporated in the interventions at varying degrees included (a) creating opportunities to build networks; (b) improving social skills; (c) assessing network diagnostics (i.e. using network data or information to inform network strategies); (d) promoting engagement with influential actors; and (e) a process for goal-setting and feedback. The effect of interventions on network structures, or the moderating effect of structure on the intervention effectiveness was rarely assessed.

CONCLUSIONS

As many natural face-to-face opportunities for social connection are limited due to COVID19, groups already at risk for social isolation and loneliness are disproportionately impacted. Network-building interventions include multiple components that address both the structure of individuals' networks, and their skills and motivation for activating them. These intervention elements could be adapted for delivery via online platforms, and implemented by trained facilitators or novice volunteers, although more rigorous testing is needed.

Transmission of Vaccination Attitudes and Uptake Based on Social Contagion Theory: A Scoping Review

Vaccine hesitancy is a complex health problem, with various factors involved including the influence of an individual's network. According to the Social Contagion Theory, attitudes and behaviours of an individual can be contagious to others in their social networks. This scoping review aims to collate evidence on how attitudes and vaccination uptake are spread within social networks. Databases of PubMed, PsycINFO, Embase, and Scopus were searched with the full text of 24 studies being screened. A narrative synthesis approach was used to collate the evidence and interpret findings. Eleven cross-sectional studies were included. Participants held more positive vaccination attitudes and greater likelihood to get vaccinated or vaccinate their child when they were frequently exposed to positive attitudes and frequently discussing vaccinations with family and friends. We also observed that vaccination uptake was decreased when family and friends were hesitant to take the vaccine. Homophily-the tendency of similar individuals to be connected in a social network-was identified as a significant factor that drives the results, especially with respect to race and ethnicity. This review highlights the key role that social networks play in shaping attitudes and vaccination uptake. Public health authorities should tailor interventions and involve family and friends to result in greater vaccination uptake.

Social network dynamics predict hormone levels and behavior in a highly social cichlid fish

Group living confers many benefits while simultaneously exposing group members to intense competition. An individual's rise to prominence within a group may conflict with the overall functioning of the group. There is therefore a complex and dynamic relationship between the behavioral displays that directly benefit an individual, the consequences of these actions for the community, and how they feed back on individual-level fitness. We used a network analysis approach to study the link between behavior, social stability, and steroid hormone levels in replicate communities of the cichlid fish, Astatotilapia burtoni, which live in social groups with a dominance hierarchy. We demonstrate that individual behavior can have direct and indirect effects on the behavior of others while also affecting group characteristics. Our results show that A. burtoni males form stable social networks, where dominant individuals act as hubs for social interactions. However, there was variation in the temporal stability in these networks, and this variation in stability impacted hormone levels. Dominant males had higher testosterone levels, however, the differences in testosterone levels between dominant and subordinate males were greatest in stable communities. In sum, our analyses provide novel insights into the processes by which individual and community properties interact.

Watching sports and depressive symptoms among older adults: a cross-sectional study from the JAGES 2019 survey

The current study investigated the relationship between the frequency of watching sports and depressive symptoms among older adults. This study used cross-sectional data from the Japan Gerontological Evaluation Study, a nationwide mail survey of 21,317 older adults. Depressive symptoms were defined as a Geriatric Depression Scale score of ≥ 5. Participants were queried regarding the average frequency at which they watched sports on-site and via TV/Internet over the past year. Among the 21,317 participants, 4559 (21.4%) had depressive symptoms, while 4808 (22.6%) and 16,576 (77.8%) watched sports on-site and via TV/Internet at least once a year, respectively. Older adults who watched sports on-site a few times/year (prevalence ratio, 0.70; 95% confidence interval, 0.65–0.74) or 1–3 times/month (0.66, 0.53–0.82) were less likely to have depressive symptoms compared to non-spectators after adjusting for frequency of playing sports, exercise activities, and other potential confounders. Meanwhile, a dose–response relationship was confirmed for watching via TV/Internet (prevalence ratio of 0.86, 0.79, and 0.71 for a few times/year, 1–3 times/month, and ≥ 1 time/week, respectively). This study suggested that watching sports on-site or via TV/Internet, regardless of whether they regularly engage in sports, may reduce the risk of depressive symptoms among older adults.

Watching sports and depressive symptoms among older adults: a cross-sectional study from the JAGES 2019 survey

The current study investigated the relationship between the frequency of watching sports and depressive symptoms among older adults. This study used cross-sectional data from the Japan Gerontological Evaluation Study, a nationwide mail survey of 21,317 older adults. Depressive symptoms were defined as a Geriatric Depression Scale score of ≥ 5. Participants were queried regarding the average frequency at which they watched sports on-site and via TV/Internet over the past year. Among the 21,317 participants, 4559 (21.4%) had depressive symptoms, while 4808 (22.6%) and 16,576 (77.8%) watched sports on-site and via TV/Internet at least once a year, respectively. Older adults who watched sports on-site a few times/year (prevalence ratio, 0.70; 95% confidence interval, 0.65-0.74) or 1-3 times/month (0.66, 0.53-0.82) were less likely to have depressive symptoms compared to non-spectators after adjusting for frequency of playing sports, exercise activities, and other potential confounders. Meanwhile, a dose-response relationship was confirmed for watching via TV/Internet (prevalence ratio of 0.86, 0.79, and 0.71 for a few times/year, 1-3 times/month, and ≥ 1 time/week, respectively). This study suggested that watching sports on-site or via TV/Internet, regardless of whether they regularly engage in sports, may reduce the risk of depressive symptoms among older adults.

Social network theory-an underutilized opportunity to align innovative methods with the demands of the opioid epidemic

It has been almost 3 years since the opioid epidemic was declared a national public health emergency under federal law. Solutions have focused on supply-reduction strategies. These approaches, however, have failed to significantly curtail opioid overdose and related death. Demand for opioid use arising from social networks and environment is an important contributing factor to the current opioid epidemic. Adoption of existing underused methods is needed to drive further progress. This Perspective proposes the social contagion model as a promising framework through which to operationalize evaluation of the influence of social networks and environment in the opioid epidemic and argues for its greater application. Comparing the current epidemic with previous opioid epidemics reiterates the utility of the social contagion model. This model acknowledges social network influence on individual behavior. It leverages tools from epidemiology, permits evaluation of interpersonal influence, facilitates consideration of disproportionate and collateral effects, and overcomes limitations of traditional models and geographic assumptions inherent to many approaches surrounding the current opioid epidemic. Analyzing the opioid epidemic within a social contagion framework will enhance evaluation methods and enable the design of interventions to reflect the actual demands of the current crisis. If the influence of social networks and environment is not considered, the devastating toll of the opioid epidemic could grow.

Social networking and symptoms of depression and anxiety in early adolescence

BACKGROUND

Use of social networking in later childhood and adolescence has risen quickly. The consequences of these changes for mental health are debated but require further empirical evaluation.

METHODS

Using data from the Childhood to Adolescence Transition Study (n = 1,156), duration of social networking use was measured annually at four time points from 11.9 to 14.8 years of age (≥1 h/day indicating high use). Cross-sectional and prospective relationships between social networking use and depressive and anxiety symptoms were examined.

RESULTS

In adjusted (age, socioeconomic status, prior mental health history) cross-sectional analyses, females with high social networking use had greater odds of depressive (odds ratio [OR]: 2.15; 95% confidence interval [CI]: 1.58-2.91) and anxiety symptoms (OR: 1.99; 95% CI: 1.32-3.00) than those that used a few minutes at most, while males with high social networking use had 1.60 greater odds of reporting depressive symptoms (95% CI: 1.09-2.35). For females, an increased odds of depressive symptoms at age 14.8 was observed for high social networking use at one previous wave and at two or three previous waves, even after adjustment (OR: 1.76; 95% CI: 1.11-2.78; OR: 2.06, 95% CI: 1.27-3.37, respectively) compared to no wave of high use.

CONCLUSIONS

Our results suggest weak to moderate increased odds of depression and anxiety in girls and boys with high social networking use versus low/normal use. These findings indicate that prevention programs for early mental health problems might benefit from targeting social networking use in early adolescence.

Neurobiological Bases of Social Networks

A social network is a web that integrates multiple levels of interindividual social relationships and has direct associations with an individual’s health and well-being. Previous research has mainly focused on how brain and social network structures (structural properties) act on each other and on how the brain supports the spread of ideas and behaviors within social networks (functional properties). The structure of the social network is correlated with activity in the amygdala, which links decoding and interpreting social signals and social values. The structure also relies on the mentalizing network, which is central to an individual’s ability to infer the mental states of others. Network functional properties depend on multilayer brain-social networks, indicating that information transmission is supported by the default mode system, the valuation system, and the mentalizing system. From the perspective of neuroendocrinology, overwhelming evidence shows that variations in oxytocin, β-endorphin and dopamine receptor genes, including oxytocin receptor (OXTR), mu opioid receptor 1 (OPRM1) and dopamine receptor 2 (DRD2), predict an individual’s social network structure, whereas oxytocin also contributes to improved transmission of emotional and behavioral information from person to person. Overall, previous studies have comprehensively revealed the effects of the brain, endocrine system, and genes on social networks. Future studies are required to determine the effects of cognitive abilities, such as memory, on social networks, the characteristics and neural mechanism of social networks in mental illness and how social networks change over time through the use of longitudinal methods.

Blood Pressure Control and Associations with Social Support among Hypertensive Outpatients in a Developing Country

Relationships between social support characteristics with blood pressure control and recommended behaviors in Vietnamese hypertensive patients have not been investigated. This study is aimed at examining the role of social support characteristics in hypertension control and behaviors. Patients with hypertension (n = 220) in Hanoi, Vietnam, were recruited into a cross-sectional study. Both functional and structural characteristics of social support and network were examined. Results showed that increasing total network size was related to 52% higher odds of uncontrolled hypertension (adjusted OR = 1.52, 95%CI = 1.22 - 1.89). Higher network sizes on the provision of information support related to advice, emotional support related to decisions, and practical support related to sickness were associated with lower odds of uncontrolled hypertension. Every additional 1% of the percentage of network members having hypertension decreased 2% the odds of uncontrolled hypertension (adjusted OR = 0.98, 95%CI = 0.96 - 1.00). A 1% additional network members who were living in the same household was associated with a decrease of 0.08 point of behavioral adherence score (coef. = -0.08; 95%CI = -0.12 - 0.03). Meanwhile, a 1% increase of network members who were friends on the provision of practical support related to sickness and jobs was related to an increase of 0.10 point and 0.19 point of behavioral adherence score (coef. = 0.10; 95%CI = 0.04 - 0.17 and coef. = 0.19; 95%CI = 0.06 - 0.32, respectively). The current study suggested that further interventions to improve hypertension management should address the potential effects of social network characteristics.

Social Network Characteristics and Their Associations With Stress in Older Adults: Closure and Balance in a Population-Based Sample

OBJECTIVES

Integration into social networks reduces stress during adverse life events and improves coping with disability in late life. The aim was to investigate whether social network closure (frequent contact among ties) and balance (positive contact among ties) are associated with perceived stress. We expect lowest stress for older adults with highly closed and balanced networks.

METHOD

Panel data on self-reported egocentric networks stem from the population-based Chicago Health, Aging, and Social Relations Study. Five waves were collected between 2002 and 2006, with 708 observations from 160 participants aged 50-68 years at baseline. Data include information on the participants' social relationships, that is, interaction frequency and relationship quality, for ego-alter ties and alter-alter ties, and participants' perceived stress. The analytical strategy used fixed- and random-effects models.

RESULTS

Participants reporting the highest number of balanced relationships (positive ties among alters) experience least stress. This effect holds independently of sociodemographic confounders, loneliness, and network size.

DISCUSSION

The absence of a stress-reducing effect from network closure suggests that balance matters more. Future research would benefit from considering balance when examining the characteristics of social networks that impinge on mental health outcomes in older adults.

Clinical update on managing media exposure and misinformation during COVID-19: recommendations for governments and healthcare professionals

OBJECTIVES

To provide a clinical update on the mechanisms of, and potential population mental health risks of, excessive media exposure and misinformation regarding the COVID-19 pandemic. To outline guidance for government, health services, psychiatrists and health professionals in managing mental health effects of COVID-19 media exposure.

CONCLUSIONS

Social and traditional media businesses attract interest by reporting threats and negativity, and heavy media exposure during disasters is associated with increased depressive and post-traumatic symptoms. There are three main recommendations for mitigation of the adverse population mental health effects of excessive media exposure and misinformation. Clear, authoritative communication from governments, health authorities and health professionals is essential, combined with correction of misinformation and addressing mistrust. Specific warnings by governments, health authorities and clinicians of the potential adverse mental health consequences of excessive COVID-19 media consumption are needed. Limitation of exposure to media and disinformation regarding COVID-19 is crucial - the less, the better. Healthcare professionals can advise patients to check information once daily, and be guided by reliable public health authorities, as part of interventions for managing the mental health impact of COVID-19.

Friendship Importance Around the World: Links to Cultural Factors, Health, and Well-Being

Prioritizing friendship is associated with many health and well-being benefits. However, to date, there have been relatively few studies that have examined cultural moderators of the link between friendship and important outcomes. In other words, is prioritizing friendships more beneficial in some contexts than others? In the current study, we examined how culture- and country-level factors were associated with the importance people place on friendships and the benefits derived from this importance. The sample comprised of 323,200 participants (M = 40.79 years, SD = 16.09 years) from 99 countries from the World Values Survey. Multilevel analyses revealed that women, people with higher levels of education, and people living in countries that are more economically equal and high in indulgence placed more value on friendships. Prioritizing friendships in life was associated with better health and well-being, but these associations depended on many cultural factors. The findings are discussed in the context of the ways in which friendships can enrich health and well-being across different settings.

Mental Health in Residential Healthcare Workers During the COVID-19 Pandemic: The Moderating Role of Selfobject Needs

The COVID-19 outbreak has affected healthcare across all levels. Older adults and those with chronic illness are at greatest risk for infection complications and mortality, which presents significant psychological distress for residential healthcare workers. The concept of selfobject needs, consisting of Mirroring, Idealizing, and Twinship, may be relevant in explaining psychological distress. This study seeks to enhance our understanding of the needs of healthcare workers responsible for elderly patients and evaluate the role of psychosocial support through selfobject needs to mitigate the effects of trauma during the pandemic. Participants (N = 103) employed in residential healthcare facilities in the metropolitan Detroit, MI (USA) region completed an online survey during the peak initial infection. Assessments included standardized measures of trauma-related symptoms, depression, anxiety, and general distress symptoms, as well as a validated measure of selfobject needs. Residential healthcare workers reported mental health symptoms across domains, including clinical elevations in symptoms of trauma, depression, and anxiety. Selfobject needs and mental health outcomes were positively correlated, indicating that greater unmet relational need was associated with greater severity of symptoms. Greater trauma symptom severity as a proxy index of current experience during the pandemic predicted high depressive symptoms, and greater Mirroring need worsened the effect. These results suggest that interventions targeting selfobject needs, specifically Mirroring, may be effective at mitigating acute mental health symptoms among healthcare workers during a distressing event.

Similarity in functional brain connectivity at rest predicts interpersonal closeness in the social network of an entire village

People often have the intuition that they are similar to their friends, yet evidence for homophily (being friends with similar others) based on self-reported personality is inconsistent. Functional connectomes-patterns of spontaneous synchronization across the brain-are stable within individuals and predict how people tend to think and behave. Thus, they may capture interindividual variability in latent traits that are particularly similar among friends but that might elude self-report. Here, we examined interpersonal similarity in functional connectivity at rest-that is, in the absence of external stimuli-and tested if functional connectome similarity is associated with proximity in a real-world social network. The social network of a remote village was reconstructed; a subset of residents underwent functional magnetic resonance imaging. Similarity in functional connectomes was positively related to social network proximity, particularly in the default mode network. Controlling for similarities in demographic and personality data (the Big Five personality traits) yielded similar results. Thus, functional connectomes may capture latent interpersonal similarities between friends that are not fully captured by commonly used demographic or personality measures. The localization of these results suggests how friends may be particularly similar to one another. Additionally, geographic proximity moderated the relationship between neural similarity and social network proximity, suggesting that such associations are particularly strong among people who live particularly close to one another. These findings suggest that social connectivity is reflected in signatures of brain functional connectivity, consistent with the common intuition that friends share similarities that go beyond, for example, demographic similarities.

Analyzing the effects of memory biases and mood disorders on social performance

Realistic models of decision-making and social interactions, considering the nature of memory and biases, continue to be an area of immense interest. Emotion and mood are a couple of key factors that play a major role in decisions, nature of social interactions, size of the social network, and the level of engagement. Most of the prior work in this direction focused on a single trait, behavior, or bias. However, this work builds an integrated model that considers multiple traits such as loneliness, the drive to interact, the memory, and mood biases in an agent. The agent system comprises of rational, manic, depressed, and bipolar agents. The system is modeled with an interconnected network, and the size of the personal network of each agent is based on its nature. We consider a game of iterated interactions where an agent cooperates based on its past experiences with the other agent. Through simulation, the effects of various biases and comparative performances of agent types is analyzed. Taking the performance of rational agents as the baseline, manic agents do much better, and depressed agents do much worse. The payoffs also exhibit an almost-linear relationship with the extent of mania. It is also observed that agents with stronger memory perform better than those with weaker memory. For rational agents, there is no significant difference between agents with a positive bias and those with a negative bias. Positive bias is linked with higher payoffs in manic and bipolar agents. In depressed agents, negative bias is linked with higher payoffs. In manic agents, an intermediate value of mood dependence offers the highest payoff. But the opposite is seen in depressed agents. In bipolar agents, agents with weak mood dependence perform the best.

Improving emotion regulation of social exclusion in depression-prone individuals: a tDCS study targeting right VLPFC

BACKGROUND

Growing evidence has indicated that right ventrolateral prefrontal cortex (RVLPFC) is critical in down-regulating emotional responses to social exclusion, and that depression is accompanied by social emotional dysregulation associated with reduced lateral prefrontal engagement. This study used anodal transcranial direct current stimulation (tDCS) to examine whether stimulating RVLPFC could improve emotional down-regulation of social exclusion in individuals with high depressive mood (DM).

METHODS

A total of 96 high and 94 low DM individuals received active or sham tDCS while viewing social exclusion or individual negative pictures under no-reappraisal (passive viewing) and reappraisal conditions. Participants rate their negative emotional experience following the presentation of each image. Pupil diameter and visual fixation duration were also recorded during the task.

RESULTS

It was found that tDCS-activated RVLPFC induced a stronger regulation effect on social exclusion than individual negative emotions. The effect of tDCS on regulation of social exclusion was more pronounced in low v. high DM individuals.

CONCLUSIONS

These findings demonstrate the specific role of RVLPFC on social emotion regulation, which has implications for refining target areas for the treatment of social emotion dysregulation in depression. However the findings do not suggest that high DM individuals benefit from a single-tDCS session on the emotion regulation of social exclusion. Thus we suggest to use multiple tDCS sessions or transcranial magnetic stimulation to further explore the therapeutic proposal in the future.

Isolation but Diffusion? A Structural Account of Depression Clustering among Adolescents

Depression can cause people to withdraw from friendships or be avoided by others, protecting others from exposure to that depression. Yet, researchers observe depression contagion, particularly among adolescents. We address this empirical puzzle by examining the role of gender in structuring friendship networks and the implications for isolation and the spreading of depression. Using stochastic actor-based models of friendships among 421 adolescents from mixed-gender, all-girls, and all-boys classrooms in six Taiwanese high schools, we find that networks with only girls are characterized by high reciprocity and low transitivity. This, in turn, facilitates the withdrawal of depressed girls from interactions. In contrast, networks with all boys create more opportunities for depression to spread through interconnected pathways. Our computational experiment further demonstrates that local preferences governing friendship choice influence levels of network connectivity. This, coupled with depression withdrawal and peer influence, shapes depression prevalence at the network level. These findings refine our understanding of the mechanisms through which friendships expose boys and girls unequally to health risks of depression.

Oxytocin Receptor Gene Polymorphisms and Early Parental Bonding Interact in Shaping Instagram Social Behavior

Human beings engage in multiple social interactions daily, both in person and online. There are, however, individual differences in the frequency and quality of these interactions. This exploratory study focuses on online interactions and aims to model these differences by looking at potential environmental and genetic factors. The environmental factor is the childhood parental relationship, as reported by the participants in the dimensions of the Parental Bonding Instrument (N = 57, 41 females). At a genetic level, buccal mucosa cell samples were collected to assess participants' genetic susceptibility, and OXTr regions rs2254298 (G/G homozygotes vs. A-carriers) and rs53576 (A/A homozygotes vs. G-carriers) were analyzed. To capture participants' online activity, Instagram was probed. The number of people that the individual follows ("followings"), followers, and posts were used as a proxy for the quantity of interaction, and a Social Desirability Index (SDI) was computed as the ratio of followers to followings. An interaction between OXTr groups and parental bonding scores on the number of followings and posts was hypothesized. A gene-environment interaction for OXTr/rs2254298 on the number of Instagram posts was identified. In line with the hypothesis, participants with a genetic risk factor (A-carriers) and a history of low paternal care showed fewer Instagram posts than those without this risk factor (G/G genotype). Moreover, an interaction effect between maternal overprotection and OXTr/rs2254298 on the Instagram SDI was detected. These findings could represent an indirect pathway through which genes and parental behavior interact to shape social interactions on Instagram.

Compensatory Social Networking Site Use, Family Support, and Depression Among College Freshman: Three-Wave Panel Study

BACKGROUND

Freshmen were found to use social networking sites (SNS) as a useful medium to effectively adjust to college life, which hints at a tendency to resort to SNS for social compensation. However, the compensatory use of SNS is usually problematic.

OBJECTIVE

This study explores why a subgroup of freshmen developed depressive symptoms while socially adjusting to college by investigating the antecedent role of introversion, the explanatory role of compensatory use of SNS, and the protective role of perceived family support. The study is among the first to point out the relevance of the compensatory use of SNS in explaining the indirect association between introversion and depression with a longitudinal design.

METHODS

A 3-wave panel sample of freshmen (N=1137) is used to examine the moderated mediation model.

RESULTS

We found that introversion at Wave 1 positively predicted compensatory use of SNS at Wave 2 and subsequently increased depression at Wave 3 (unstandardized B=0.07, SE 0.02, P<.001, 95% CI 0.04-0.10; unstandardized B=0.09, SE 0.01, P<.001, 95% CI 0.06-0.12). The moderated mediation model further examined the buffering role of perceived family support within the link between introversion and compensatory SNS use (index=0.0031, SE 0.0015, 95% CI 0.0003-0.0062). Unexpectedly, we found that family support in Wave 1 decreased compensatory SNS use for less introverted freshmen in Wave 2 and further decreased depression in Wave 3.

CONCLUSIONS

Unexpectedly, our findings uncover an enhancing effect, rather than a buffering effect, of family support by embedding its effect within the relationship between introversion and compensatory SNS use. Appreciating the differences in the casual pathways for freshmen with different levels of introversion clarifies how SNS affect young adults' lives.

The Psychological Toll of Emotion Work in Same-Sex and Different-Sex Marital Dyads

Objective

This study considers how the provision of daily emotion work may affect the psychological well-being of the emotion worker, and how this linkage may vary for men and women in same- and different-sex marriages.

Background

Emotion work-work intended to bolster a spouse's well-being by reading and managing the spouse's emotional needs-is common within marital relationships and often gendered, with women more aware of and concerned with emotion work than men. Yet, the psychological cost of performing emotion work is largely unexplored.

Method

This study relies on 10 days of daily experiences data from spouses in same- and different-sex marriages (n = 756 individuals). Mixed effects multilevel regression modeling is used to examine how the provision of emotion work is associated with the emotion workers' psychological well-being.

Results

Providing emotion work is inversely associated with emotion workers' psychological well-being, especially when provided for a spouse with elevated depressive symptoms. These estimated effects are generally similar for men and women but greater for those married to a man than for those married to a woman, whether in a same- or different-sex marriage.

Conclusion

Emotion work appears to adversely affect the worker's own psychological well-being, especially when a spouse has elevated depressive symptoms and when one's spouse is a man. These results point to the importance of dyadic approaches and consideration of gendered relationship dynamics of same- as well as different-sex couples in studies of emotion work and other marital processes.