The initial emergence of SARS-CoV-2 created uncertainty for humanity, driving people to seek assistance on social media. This study aims to understand the role of social media in coping with crises and to offer guidance for future uncertainties by examining the experiences of Wuhan during the early stages of the pandemic.

Using quantitative content analysis, this study investigated 2207 Weibo posts tagged with “COVID-19 Mutual Aid” from individuals located in Wuhan during the early lockdown period from January 23, 2020, to March 23, 2020.

At the start of pandemic, messages seeking tangible support were most common. A hurdle regression model showed that deeper self-disclosure led to more retransmission of help-seeking messages. The Chi-Square and Mann-Whitney U tests revealed that health professionals and laypeople had different self-disclosure strategies.

This study provides insight into the online social support exchange during the early stages of the COVID-19 pandemic in Wuhan, highlighting the importance of self-disclosure on message retransmission, and the differences in self-disclosure strategies between health professionals and laypeople in online help-seeking.

To reveal the chain mediating roles of insomnia and anxiety between social support and PTSD in nursing staff under the stage of COVID-19 regular pandemic prevention and control in China.

A total of 784 nurses were recruited using the convenience sampling method in Jiangsu Province, China. Demographic questionnaire, Perceived Social Support Scale, Impact of Event Scale-Revised, Generalized Anxiety Disorder-7 and Insomnia Severity Index were applied to collect data.

Social support, PTSD, insomnia and anxiety were significantly correlated with each other. Insomnia and anxiety acted as chain mediators between social support and PTSD.

Insufficient social support may trigger PTSD through the chain mediating effects of insomnia and anxiety in nursing staff under the stage of COVID-19 regular pandemic prevention and control. Measures focusing on social support, insomnia and anxiety should be taken to reduce or even prevent PTSD in nursing staff in Chinese hospitals in similar crises in the future.

Research suggests that most mental health conditions have their onset in the critically social period of adolescence. Yet, we lack understanding of the potential social processes underlying early psychopathological development. We propose a conceptual model where daily-life social interactions and social skills form an intermediate link between known risk and protective factors (adverse childhood experiences, bullying, social support, maladaptive parenting) and psychopathology in adolescents – that is explored using cross-sectional data.

N = 1913 Flemish adolescent participants (Mean age = 13.8; 63% girls) were assessed as part of the SIGMA study, a large-scale, accelerated longitudinal study of adolescent mental health and development. Self-report questionnaires (on risk/protective factors, social skills, and psychopathology) were completed during class time; daily-life social interactions were measured during a subsequent six-day experience-sampling period.

Registered uncorrected multilevel linear regression results revealed significant associations between all risk/protective factors and psychopathology, between all risk/protective factors and social processes, and between all social processes and psychopathology. Social processes (social skills, quantity/quality of daily social interactions) were uniquely predicted by each risk/protective factor and were uniquely associated with both general and specific types of psychopathology. For older participants, some relationships between social processes and psychopathology were stronger.

Unique associations between risk/protective factors and psychopathology signify the distinct relevance of these factors for youth mental health, whereas the broad associations with social processes support these processes as broad correlates. Results align with the idea of a social pathway toward early psychopathology, although follow-up longitudinal research is required to verify any mediation effect.

To identify the prevalence of depression, anxiety, and psychosocial distress among Ugandan palliative care providers during the COVID-19 pandemic, measure providers’ perceived levels of social support, and identify factors affecting a provider’s likelihood of being depressed, anxious, distressed, or perceiving various levels of social support.

Data was collected from 123 palliative care providers using an online survey. Depression, anxiety, and psychological distress were measured using the Patient Health Questionnaire-9, the Generalized Anxiety Disorder-7, and the Self-Reporting Questionnaire, respectively. Information on perceived level of social support was gathered through the Multidimensional Scale of Perceived Social Support. The survey also asked about mental health resources available to providers at their place of work and what resources are still needed.

Participants ranged in age, gender, religion, marital status, clinical position, and years of experience in palliative care. Results indicate that 20% of respondents show signs of moderate to severe depression, 14% show signs of moderate to severe anxiety, and 33% show signs of psychological distress. Additionally, 50% of respondents reported a low total level of social support. Depression, anxiety, and psychological distress scores were all negatively correlated with perceived social support scores. Over 50% expressed a desire for additional mental health resources at their place of work.

In 2021–2022, the severity of depression, anxiety, and psychological distress varied among palliative care providers in Uganda, with some experiencing moderate to severe mental health effects. Higher degrees of depression, anxiety, and psychological distress were correlated with lower levels of perceived social support, highlighting the importance of social support during times of crisis. The results highlight a desire for improved access to mental health resources and will help providers and organizations provide better support and better prepare for future crises.

Having social support improves one's health outcomes and self-esteem, and buffers the negative impact of stressors. Previous studies have explored the association between social support and brain activity, but evidence from task-dependent functional connectivity is still limited.

We aimed to explore how gradually decreasing levels of social support influence task-dependent functional connectivity across several major neural networks.

We designed a social support task and recruited 72 young adults from real-life social groups. Of the four members in each group, one healthy participant (18 participants in total) completed the functional magnetic resonance imaging (fMRI) scan. The fMRI task included three phases with varying levels of social support: high-support phase, fair phase and low-support phase. Functional connectivity changes according to three phases were examined by generalised psychophysiological interaction analysis.

The results of the analysis demonstrated that participants losing expected support showed increased connectivity among salience network, default mood network and frontoparietal network nodes during the fair phase compared with the high-support phase. During the low-support phase, participants showed increased connectivity among only salience network nodes compared with the high-support phase.

The results indicate that the loss of support was perceived as a threat signal and induced widespread increased functional connectivity within brain networks. The observation of significant functional connectivity changes between fair and high-support phases suggests that even a small loss of social support from close ones leads to major changes in brain function.

Although both psychological resilience and social support are widely believed to be effective in alleviating post-traumatic psychiatric symptoms in individuals with traumatic events, there has been a lack of comparative analysis of their intervention effects on different post-traumatic psychiatric symptoms. Furthermore, previous studies have mostly failed to control for potential confounding effects caused by different traumatic events.

We used the novel network analysis approach to examine the differential moderating effects of psychological resilience and social support on post-traumatic psychiatric symptoms, controlling for the confounding effects of traumatic events.

We recruited 264 front-line rescuers who experienced the same traumatic event. Quantified edge weights and bridge expected influence (BEI) were applied to compare the alleviating effects of psychological resilience and social support.

Our study revealed distinct correlations in a sample of front-line rescuers: social support negatively correlates more with psychosomatic symptoms, notably fatigue in depressive networks and sleep disturbance in post-traumatic stress disorder (PTSD) networks, whereas psychological resilience shows fewer such correlations. Quantitative analysis using BEI indicated that psychological resilience more effectively suppresses depressive and anxiety symptom networks, whereas social support more significantly inhibits PTSD symptom networks.

The current study represents the first attempt to examine the differential effects of psychological resilience and social support on post-traumatic outcomes in real-world emergency rescuers, controlling for the confounding effect of traumatic events. Our results can act as the theoretical reference for future precise and efficient post-trauma psychological interventions.

Social, familial, and physiological stressors may put maternal-infant bonding at risk. Therefore, it is plausible that the stressful conditions brought on by COVID-19 could influence maternal-infant bonding. This study aimed to elucidate the contribution of COVID-19-related experience to variance in maternal-infant bonding, beyond that of established risk factors and as moderated by social support.

This longitudinal, multicenter study examined the relationship of demographic and obstetric variables, social support, postpartum depression, as well as COVID-19-related fear, exposure, and subjective difficulty with mother-infant bonding six months following birth. Participants (N = 246) were women who delivered during the pandemics’ strict lockdown period and were recruited 10 weeks after a liveborn delivery and followed up six months later.

Relationship between fear of COVID-19 and maternal-infant bonding was moderated by social support: Amongst mothers with high levels of social support, fear of COVID-19 negatively predicted bonding.

Results indicate that social support, while overall a protective factor for mother-infant bonding, may lose its buffering effect when fear of COVID-19 is high. This relationship was maintained even when early bonding experiences such as forced separation and the risk incurred by postpartum depression were accounted for. Implications for providers are discussed.

Symptom clustering research provides a unique opportunity for understanding complex medical conditions. The objective of this study was to apply a variable-centered analytic approach to understand how symptoms may cluster together, within and across domains of functioning in mild cognitive impairment (MCI) and dementia, to better understand these conditions and potential etiological, prevention, and intervention considerations.

Cognitive, motor, sensory, emotional, and social measures from the NIH Toolbox were analyzed using exploratory factor analysis (EFA) from a dataset of 165 individuals with a research diagnosis of either amnestic MCI or dementia of the Alzheimer’s type.

The six-factor EFA solution described here primarily replicated the intended structure of the NIH Toolbox with a few deviations, notably sensory and motor scores loading onto factors with measures of cognition, emotional, and social health. These findings suggest the presence of cross-domain symptom clusters in these populations. In particular, negative affect, stress, loneliness, and pain formed one unique symptom cluster that bridged the NIH Toolbox domains of physical, social, and emotional health. Olfaction and dexterity formed a second unique cluster with measures of executive functioning, working memory, episodic memory, and processing speed. A third novel cluster was detected for mobility, strength, and vision, which was considered to reflect a physical functioning factor. Somewhat unexpectedly, the hearing test included did not load strongly onto any factor.

This research presents a preliminary effort to detect symptom clusters in amnestic MCI and dementia using an existing dataset of outcome measures from the NIH Toolbox.

Peer victimization predicts the development of mental health symptoms in the transition to adolescence, but it is unclear whether and how parents and school environments can buffer this link.

We analyzed two-year longitudinal data from the Adolescent Brain Cognitive Development (ABCD) study, involving a diverse sample of 11 844 children across the United States (average at baseline = 9.91 years; standard deviation = 0.63; range = 8.92–11.08; complete case sample = 8385). Longitudinal associations between peer victimization and two-year changes in mental health symptoms of major depression disorder (MDD), separation anxiety (SA), prodromal psychosis (PP), and attention-deficit/hyperactivity disorder (ADHD) were examined including a wide range of covariates. Mixed linear models were used to test for the moderating effects of parental warmth and prosocial school environment.

20% of children experienced peer victimization. Higher exposure to peer victimization was associated with increases in MDD, SA, and ADHD symptoms. Parental warmth was associated with decreases in MDD symptoms but did not robustly buffer the link between peer victimization and mental health symptoms. Prosocial school environment predicted decreases in PP symptoms and buffered the link between peer victimization and MDD symptoms but amplified the link between peer victimization and SA and ADHD symptoms.

Peer victimization is associated with increases in mental health symptoms during the transition to adolescence. Parental warmth and prosocial school environments might not be enough to counter the negative consequences of peer victimization on all mental health outcomes.

Research on suicide rarely focuses on protective factors. The goal of this systematic review was to assess the evidence of the associations between protective factors and reduced suicidality among older adults.

First, a scoping review was conducted to identify pertinent terms that refer to various protective factors against suicidality. A systematic review, following the PRISMA guidelines, was then conducted on a selection of 15 protective factors (e.g., perceived control, well-being and quality of life, life satisfaction, purpose-in-life, resilience, coping, religiosity, hope, self-regulation, sense of belonging, mattering, positive relationship, social support, social connectedness, and social participation), with separate searches performed on each factor in five databases. Empirical studies were eligible if participants were adults aged 60 years and over, and if the studies reported predictive statistical analysis.

A total of 70 studies were retained for the review. Suicidal ideation was the main outcome measure (91%). Significant associations were consistently observed between all protective factors and reduced suicidal ideations or behaviors, particularly for purpose-in-life, resilience, and positive relationships, indicating that these are solid components for suicide prevention. Using scales, instead of a single item, to measure protective factors (e.g. life satisfaction) was more efficient to capture the associations. On the other hand, results were similar whether studies used subjective (e.g., sense of belonging) or objective (e.g., social connectedness) measures.

Protective factors were inversely associated with suicidal ideation. Improving protective factors is essential for the development of late-life suicide prevention and interventions, instead of merely focusing on risk factors.