Social Network Size Research Articles

A multilevel social network approach to studying multiple disease-prevention behaviors

The effective prevention of many infectious and non-infectious diseases relies on people concurrently adopting multiple prevention behaviors. Individual characteristics, opinion leaders, and social networks have been found to explain why people take up specific prevention behaviors. However, it remains challenging to understand how these factors shape multiple interdependent behaviors. We propose a multilevel social network framework that allows us to study the effects of individual and social factors on multiple disease prevention behaviors simultaneously. We apply this approach to examine the factors explaining eight malaria prevention behaviors, using unique interview data collected from 1529 individuals in 10 hard-to-reach, malaria-endemic villages in Meghalaya, India in 2020–2022. Statistical network modelling reveals exposure to similar behaviors in one’s social network as the most important factor explaining prevention behaviors. Further, we find that households indirectly shape behaviors as key contexts for social ties. Together, these two factors are crucial for explaining the observed patterns of behaviors and social networks in the data, outweighing individual characteristics, opinion leaders, and social network size. The results highlight that social network processes may facilitate or hamper disease prevention efforts that rely on a combination of behaviors. Our approach is well suited to study these processes in the context of various diseases.

LONELINESS AND RISK OF ELDER ABUSE: DOES SIZE OF SOCIAL NETWORK MAKE A DIFFERENCE?

Abstract Elder abuse is a serious public health issue. Research demonstrated that loneliness is a risk factor for abuse. The present study examined the association between loneliness and elder abuse in a convenient sample of 686 community dwelling older persons in Hong Kong. Participants were recruited from senior community centers across the territory. They provided information on their demographic characteristics, sense of loneliness (DJGLS-6), social network (LSNS-6), and risk of elder abuse (EASI and VASS-10). 37.4% of the participants were screened positive on EASI or VASS-10. Results of logistical regression show that participants who were female (OR=-.505), married (OR=-.951), of a younger age (OR=-.044), reported greater sense of loneliness (OR=.266) were more likely to report risk of being abused. Co-residence with a family member and size of social network was not significant in the model (p>.05). Multiple regression analysis was conducted to identify factor associated with sense of loneliness. Participants of a younger age (Beta=-.019), living alone (Beta=-.170), and had a smaller social network (Beta=.-085) reported greater sense of loneliness. Findings from the present study adds to the larger literature on the impact of various demographic factors and sense of loneliness on elder abuse. Prevention and intervention efforts should focus on female young-olds in a marital relationship. Efforts to mitigate sense of loneliness could potentially help tackle elder abuse. Although increasing social network size does not have a direct impact on risk of elder abuse, it could potentially mitigate sense of loneliness thereby decrease risk of abuse.

Malnutrition Risk in Community-Dwelling Older Adults with Dual Sensory Declines: Focusing on Social Determinants of Health

Purpose: As the number of older adults with dual sensory declines is increasing, they face a higher risk of malnutrition compared to those without these declines. Although social determinants of health can influence malnutrition, there has been limited research on this population. This study aimed to explore the association between malnutrition risk and social determinants of health among older adults with dual sensory declines. Methods: The study is a cross-sectional analysis using data from the 2020 National Survey of Older Koreans. Binomial logistic regression analysis was conducted to examine the association between malnutrition risk and social determinants of health. These determinants include structural determinants, social capital, and intermediary determinants among older adults with dual sensory declines. Results: 1,771 with dual sensory declines were included in the analysis. Among the structural determinants, women (odds ratio [OR]=1.75, 95% confidential interval [CI] 1.19~2.57) and national basic livelihood security system recipients (OR=1.87, 95% CI 1.13~3.07) were significantly associated with malnutrition risk. In social capital, social non-participation (OR=1.33, 95% CI 1.03~1.73) and social network size (OR=0.95, 95% CI 0.92~0.98), Among intermediary determinants, living dissatisfaction (OR=1.61, 95% CI 1.16~2.23), environmental satisfaction (OR=0.95, 95% CI 0.92~0.99), household debt (OR=1.59, 95% CI 1.02~2.49) and comorbidity (OR=3.85, 95% CI 2.98~4.97) were significantly related to malnutrition risk. Conclusion: These findings highlight the critical need to address key social determinants of health to enhance nutritional outcomes for older adults with dual sensory declines.

Psychological symptoms and loneliness in unemployed people diagnosed with mental illnesses.

Loneliness is a pervasive phenomenon that is linked to adverse health outcomes. Unemployed individuals with mental illnesses (UMIs) constitute a high-risk group, with substantial implications for both health and vocational (re)integration. This study aims to gain deeper insights into the relationships between psychological problems and symptoms of psychopathology and loneliness in UMIs. Our research is based on a sample from LIPSY, a project that aims to maintain or restore employability. Two regression analyses were conducted on a sample of unemployed participants diagnosed with a mental illness (ICD-10: F-code) with the outcome variable loneliness (UCLA). In the first analysis, age, gender, education, cohabitation status, and social network size (LSNS-6) were used as predictors; in the second one, the nine symptom dimensions (SCL-90) - (1) Somatization, (2) Obsessive-Compulsive, (3) Interpersonal Sensitivity, (4) Depression, (5) Anxiety, (6) Anger-Hostility, (7) Phobic Anxiety, (8) Paranoid Ideation, (9) Psychoticism -were added. Our sample included 397 participants with an average age of 35.8 years, 53.1% were female. The final regression showed significant positive associations between higher levels of education, Interpersonal Sensitivity, Depression, and the outcome loneliness, and a significant negative relationship between Somatization and loneliness. The high scores on all SCL-90 dimensions, and the links identified between Somatization, Interpersonal Sensitivity, Depression, and loneliness highlight the importance of psychological screening and/or diagnostics in this high-risk group and offer several starting points for prevention measures as well as interventions.

Message Content and Diversity as an Effective Nonprofit Fundraising Strategy on Social Media

This article explores the relationship between solicitation messages posted by nonprofit organizations on their Facebook profile and attracting donations during online fundraising events. Recent studies suggest that certain types of messages are more effective at spurring donors to give, but the evidence base is founded mainly on experimental designs. We use observational data for 752 nonprofits that participated in one or both of the Omaha Gives fundraising events in 2015 and 2020. Using the total amount of money donated to each organization as our outcome, we find nonprofits that post more diverse solicitation messages raise more money during online fundraising events. Consistent with previous studies, social media network size and activity (likes, posts, and shares) are once again important factors in explaining fundraising success. Our results provide deeper insights into the nuances of social media strategies for attracting donors and raising funds.

Adaptation in communication technology utilization: caring for individuals with chronic conditions in South Asia during the Covid-19 pandemic

ABSTRACT Background During the Covid-19 pandemic, people with chronic conditions experienced delayed or missed care, while their carers endured social isolation, loneliness, and reduced support. Information communication technology (ICT) can be utilized to encourage continuity of care, address misinformation, and allocate support. This study aimed to identify factors associated with the ICT adaptation of South Asian carers of individuals with chronic conditions by comparing changes in ICT utilization and preferences before and during the pandemic. Method 416 South Asian carers reporting feelings of loneliness and isolation were identified from the Coping with Loneliness, Isolation and Covid-19 (CLIC) online survey. Descriptive statistics and multinomial regression models were utilized. Result The most commonly used ICT modality was auditory, followed by written and audio-visual. Four variables identified were: social network size and relationship proximity, Covid-19-induced distress, age, and living arrangements. We identified a negative correlation between social network size and ICT frequency/intensity, reductions in communication frequency/intensity associated with Covid-19-induced distress, working-age carer (18-60) preference adaptation toward written communication during the pandemic, written and auditory ICT fluency in carers spending time alone by choice, and aversion from auditory ICT in carers who lived and were often alone involuntarily. Conclusion The findings provide insights into South Asian carers’ ICT usage, preferences, and adaptation in response to the pandemic. The findings aid in the development of health and social care pathways that fulfil local caregivers’ unmet support and resource needs.

A Structural Equation Modelling Exploration of the Role of Schizotypal Traits, Cognitive Schemas and Dysfunctional Attitudes in Social Isolation.

Evidence highlights the importance of social isolation as a critical yet underserved treatment target for individuals managing psychosis. Schizotypal traits represent a useful model of psychosis, facilitating the assessment of contributors to social isolation without the confounds associated with schizophrenia. This study utilised structural equation modelling to examine the unique predictive capacity of schizotypal traits for subjective and objective indices of social isolation. In addition, the potentially mediating role of negative core schemas and dysfunctional attitudes was assessed. Structural equation modelling was used to measure and compare the relationships between the constructs of interest simultaneously. Satisfactory fit indices were attained with separate models predicting loneliness and social engagement. Results support the partial mediation of the relationships between positive and negative traits, internalising symptoms and loneliness. While all three direct pathways were significant, all three were partially mediated. Of note, these mediated effects were not observed in the model predicting social engagement, with the only significant pathways being those directly from positive and negative schizotypal traits. Schizotypal traits directly predict loneliness and social engagement above that accounted for by internalising symptoms. Cognitive factors partially mediate the relationships between schizotypy and loneliness but not the size of an individual's social network. Cognitive interventions may be well suited for reducing loneliness; however, other approaches may be required to increase social networks for individuals with high levels of schizotypy.

Loneliness is associated with diminished heart rate variability reactivity to acute social stress in younger adults.

Loneliness is linked to cardiovascular health, with atypical stress reactivity serving as an underlying mediator. This study aimed to investigate the association between loneliness and heart rate variability (HRV) reactivity to acute social stress in younger adults. A total of 92 participants (52 women; mean age = 22.05 ± 2.25 years; range: 17 to 29 years) completed the Trier Social Stress Test (TSST), during which their electrocardiogram (ECG) signals were recorded. HRV was assessed using several measures, including the root mean square of successive differences in inter-beat intervals (RMSSD), the percentage of successive inter-beat intervals differing by more than 50 milliseconds (pNN50), and the high-frequency component of HRV (HF-HRV). Loneliness was measured using the revised UCLA Loneliness Scale. Multiple linear regression models were fitted to examine the associations between loneliness and HRV reactivity, controlling for other covariates including age, sex, BMI, neuroticism, social network size, respiration rate and baseline HRV. In the total sample, loneliness was associated with decreased HRV reactivity, indicating a reduced ability of the autonomic nervous system to regulate cardiovascular function under stress. Sex differences were found in the association between loneliness and HRV reactivity, with women exhibiting more significant correlations. These findings suggest that diminished HRV reactivity to social stress may be a physiological mechanism through which loneliness impacts cardiovascular health.

Correlates and Brain Substrates of Happiness in Community-Dwelling Older Adults in India.

Happiness has been shown to influence many health-related outcomes in older adults. Identifying correlates and brain substrates of happiness across countries and cultures is an important goal, as the global older adult population continues to increase. We used univariate and multiple regression to examine associations between happiness and several demographic, health, and lifestyle variables in 665 older adults (39% female) from Kerala, India. We also used Bayesian regression to examine associations between cortical thickness and happiness in a subsample of 188 participants that completed MRI scanning. Happiness was significantly associated with several variables. In our multiple regression model, which included all significant univariate predictors, self-rated health, depression, anxiety, apathy, social network size, social network diversity, and social support significantly predicted happiness. Demographic indicators (age, sex, education, marital status, residence, and employment status/type), cognitive impairment, comorbidities, and leisure activities were not significantly associated with happiness in the multiple regression model. Cortical thickness in several brain regions was positively associated with happiness scores, including frontal, temporal, parietal, occipital, and cingulate regions. Understanding the key correlates is critical for identifying both modifiable factors that can be targeted in well-being interventions and fixed characteristics that identify those at-risk for reduced happiness. The widespread pattern of brain regions associated with happiness is consistent with the multifactorial nature of happiness and, given that the regions identified do not overlap with those vulnerable to cortical thinning, can help explain why subjective well-being, unlike other cognitive functions, is largely resistant to age-related decline.

Social connectedness and diabetes self-management across the COVID-19 pandemic: A mixed methods study.

Structural social connectedness is the structure and size of a person's social network, including whether persons live with or have regular contact with others. The COVID-19 pandemic disrupted structures that facilitate social connectedness. This study investigated how a person's structural social connectedness influenced diabetes self-management strategies through the COVID-19 pandemic. The study followed an explanatory sequential mixed methods design. First, quantitative data were collected via surveys of 54 patients living with diabetes (67% female, Mage of 60 [12] years) in 2021. Then in 2022, we interviewed 25 patients (64% female, Mage of 62 [9] years) as a follow-up to the survey to help explain quantitative findings. Longitudinal mixed methods analysis integrated both phases to offer a holistic view of the factors influencing diabetes self-management. A full-factorial analysis of covariance tested home and workplace social connectedness effects onto glycemic control and four self-management measures. In integrated analysis, researchers categorized patients into four groups by level of home and workplace social connectedness. Individuals with home social connectedness were more likely to overcome pandemic-related self-management challenges than those without home social connectedness. Although the workplace provided social connectedness, it imposed structural barriers to self-management. Structural social connectedness influenced how patients navigated diabetes self-management challenges through the COVID-19 pandemic. Results suggest clinicians should consider how home and workplace connectedness interact to facilitate or impede patient self-management. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Social network size attenuates the negative effect of plasma pTau181 on memory and medial temporal lobe volumes

Social network size attenuates the negative effect of plasma pTau181 on memory and medial temporal lobe volumes

Understanding the Meaning of Loneliness and Social Engagement for the Workings of a Social Network Intervention Connecting People to Resources and Valued Activities.

Addressing loneliness, which is associated with poor mental and physical health, implicates the need for connectivity to a broad set of situated relationships and activities in the contexts of people's everyday lives. Social engagement has been identified as a relevant psychosocial mechanism mediating health and wellness and is central to addressing loneliness. The aim here is to explore the way in which people identified as lonely conceptualise their experiences of loneliness and social engagement for the purposes of incorporating these into the design and workings of an intervention that allows people to map their social networks and connect them to community-based valued activities. Semi-structured qualitative interviews were undertaken with 20 participants, aged 21-82 years old (mean age 59.7) nested within a pragmatic, community-based randomised controlled trial in the north and south of England. Participants had wide-ranging social network sizes (from 1 to 10 individuals) and reported variable impact of loneliness on their lives. Loneliness consisted as an absence of intimacy in the face of being surrounded by others, a sense of entrapment and boredom, lacking access to meaningful activities and difficulties in relating to others. The analysis highlighted the role that important relationships have in mediating loneliness. Individual readiness, skills and confidence in forming new connections and engaging with new activities are important barriers that exist in overcoming loneliness. For many, wider socio-political factors, such as transport provision, availability of resources and costs associated with social engagement are also important barriers which are difficult to overcome. Exploring the link between feelings, experiences and meaning of loneliness and the way in which a network intervention can be incorporated offers a focus for mediating the richness and opportunities that arise from locality-based connections and collective activities in the broader social environment. However, any intervention seeking to address loneliness requires a further focus on both individual and relational factors which might contribute to addressing loneliness and increasing a sense of wellness. The study team worked closely with community partner organisations in all aspects of this research, including, the submission of the funding proposal, development of the study protocol and procedures, recruitment, intervention deployment and assessment of implementation. PPI representatives provided advice on participant materials and interview schedules, and project management throughout and contributed to management and steering committee meetings.

Examining the association between aggression and suicide attempts among army soldiers.

Suicide is a major concern among active-duty military personnel. Aggression represents a salient risk factor for suicide among civilians, yet is relatively understudied among military populations. Although several theories posit a relation between aggression and suicide with putative underlying mechanisms of social isolation, access to firearms, and alcohol use, researchers have yet to test these potential mediators. This study uses rich, longitudinal data from the Army Study to Assess Risk and Resilience (STARRS) Pre/Post Deployment Study (PPDS) to examine whether aggression longitudinally predicts suicide attempts and to identify mediators of this association. Army soldiers (N = 8483) completed assessments 1 month prior to deployment and 1, 2-3, and 9-12 months post-deployment. Participants reported on their physical and verbal aggression, suicide attempts, social network size, firearm ownership, and frequency of alcohol use. As expected, pre-deployment aggression was significantly associated with suicide attempts at 12-months post-deployment even after controlling for lifetime suicide attempts. Social network size and alcohol use frequency mediated this association, but firearm ownership did not. Findings further implicate aggression as an important suicide risk factor among military personnel and suggest that social isolation and alcohol use may partially account for this association.

Social Isolation and Depressive Symptoms of Older Chinese Immigrants: The Mediating Effect of Activity Engagement.

Objectives: This study aimed to examine the differential impacts of two forms of social isolation on depressive symptoms and investigate the mediating role of activity engagement among older Chinese immigrants. Methods: Data were from four waves of the Population Study of Chinese Elderly in Chicago Study (PINE) (N = 2,075). Social disconnectedness was measured by social network size and range, living arrangement, and marital status. Perceived isolation was measured by loneliness and lack of social support. Activity engagement was assessed by engagement with various social and cognitive activities. Results: The latent growth curve models indicated that social disconnectedness and perceived isolation were associated with a higher initial level of depressive symptoms. However, perceived isolation predicted a faster decline in depressive symptoms. Activity engagement had significant mediating effects on the relationships. Discussion: Efforts should focus on reducing social isolation and providing opportunities for activity engagement to mitigate depression among older Chinese immigrants.

Prevention of frailty in relation with social out-of-home activities in older adults: results from the Survey of Health, Ageing, and Retirement in Europe

Out-of-home mobility and social participation have been identified as resources to postpone frailty. We aim to examine the mediating role and specific contribution of social out-of-home activities in frailty prevention. Data from the Survey of Health, Ageing, and Retirement in Europe (SHARE) waves six (w6), seven (w7), and eight (w8) were used. Frailty was measured with the SHARE version of the Edmonton Frail Scale (EFS) with frailty states fit, pre-fail and frail. First, a mediation model with 13,456 fit participants aged ≥ 50 years in w6 was specified with social network size, loneliness (UCLA 3-Item Loneliness Scale), and lack of motivation (EURO-D) as predictors and number of performed social out-of-home activities in w7 as mediator variable on EFS-scores in w8. Age, education, gender, cohabitation, widowhood, urban environment, and country served as covariates. Second, we investigated the association of increasing social out-of-home activities from w6 to w7 with change in EFS-score from w6 to w8 using a linear mixed model with 17,439 participants in all frailty states. Direct effects of loneliness (w6) and lack of motivation (w6) on EFS-scores (w8) were partially mediated by social out-of-home activities (loneliness ß = 0.005; 95% CI = 0.003–0.008) and (lack of motivation ß = 0.014; 95% CI = 0.009–0.019). The linear mixed model revealed a significant effect of increasing social out-of-home activities (w6–w7) on reduction of EFS-scores (w8) (ß = − 0.21; 95% CI = − 0.29–0.04; p < 0.001). Social out-of-home activities appear to play a crucial role in frailty prevention, which could be used for future interventions.

Social network structure modulates neural activities underlying group norm processing: evidence from event-related potentials.

Social ties play a crucial role in determining the health and wellbeing of individuals. However, it remains unclear whether the capacity to process social information distinguishes well-connected individuals from their less-connected peers. This study explored how an individual's social network structure influences the dynamic processing of group norms, utilizing event-related potentials (ERPs). The study involved 43 university students from the same class who participated in a social network study measuring metrics such as real-life social network size, in-degree, out-degree, and betweenness centrality. Subsequently, 27 students participated in an EEG study assessing their willingness to engage in various exercises after being exposed to peer feedback or in its absence. The results indicate that an individual's social network structure is significantly associated with the dynamic processing of group norms. Notably, well-connected individuals exhibited larger ERP amplitudes linked to feedback (e.g., N200, P300, and LPP), greater functional segregation within the brain network (e.g., local efficiency and clustering coefficient), and enhanced synchronization within frontal area and across different brain areas. These findings highlight that well-connected individuals possess enhanced sensitivity and efficiency in processing social information, pointing to potential areas for further research on the factors influencing social network evolution.

The relationship between LGBT older adults’ social network structure and function

Social prejudice, family nonacceptance, and lack of marriage or adoption rights often restrict the formation of conventional social ties among LGBT older adults. As a result, they often rely on families of choice constituted by other LGBT/age peers for support. Using a series of regression analyses with a national sample of LGBT older Americans, this study investigated how characteristics of social network structure (size and composition - LGBT vs. non-LGBT identity and age ≥50 vs. &lt; 50) were related to LGBT older adults’ social network function (perceived social support). Larger social networks, especially those composed of LGBT members and older adults, were associated with more perceived social support. In subgroup analyses, larger social networks composed of more LGBT members and older adults were associated with more perceived social support among lesbian and gay respondents. For bisexual + older adults, larger social network size was associated with more perceived social support, but social network composition was not related to more perceived social support. For transgender older adults, neither social network size nor network composition were significantly associated with perceived social support. This study demonstrated that having more people with similar characteristics in their social networks cues LGBT older adults about the availability of social support. Findings may inform strategies for tailoring programs intended to maintain and strengthen LGBT older adults’ social support networks.

Factors Influencing Depression in People with Disabilities:Individual and Interpersonal Levels

Abstract Depression is an increasingly important social problem, and this also applies to the disabled, a health-vulnerable group. Although the distribution and influencing factors of depression may be different among the disabled population (young adults vs. the elderly, older adults with disabilities vs. disabilities due to old age), only the high prevalence of depression among the disabled is generally reported. This study seeks to determine the distribution and influencing factors of depression in disabled people according to sociodemographic standards. This study employed data from the 2021 Panel Survey on People with Disabilities (National Unit Survey) to investigate the influence of individual-level factors (health behaviors, health level, environment) and interpersonal-level factors (social network) on depression. Multivariate logistic regression analysis was performed while controlling for demographic sociological factors and disability characteristic factors. The experience of depression was among elderly disabled individuals (age 50+: 40.9%) than younger ones (age 19-49: 36.1%), and in disability with aging (49.3%) versus aging with disabilities (39.2%) (P &amp;lt; 0.05). Chronic diseases, daily living assistance, living environment, and emotional support from family and neighbors affected both young and elderly disabled individuals. Specifically, among the elderly disabled, exercise frequency (aOR=0.78; [CI]0.63-0.97), social network size (aOR=0.87; [CI]0.82-0.93), and social interaction frequency (aOR=0.68; [CI]0.51-0.91) were significant. Disability with aging was influenced by exercise frequency (aOR=0.29; [CI]0.09-0.95) and emotional support (aOR=0.37; [CI]0.17-0.77) from peers. older adults with disabilities were affected by not only individual-level factors (exercise frequency) but also both functional (emotional support) and structural (size of social network, frequency of meetings) aspects of their interpersonal social networks. Key messages • Depression experiences among older adults with disabilities are influenced by both functional and structural social networks. • Developing depression prevention strategies for people with disabilities requires a customized approach that takes into account age-specific characteristics.

Social network size and endorsement of political violence in the US

BackgroundIn recent years, the United States (US) has witnessed a rise in political violence. Prior research has found that an individual’s social network is associated with their likelihood of engaging in various forms of violence, but research on social networks and political violence in the US context is limited. This study examined associations between social network size and endorsement of political violence in a recent nationally representative survey and explored how the relationship varied by use of social media as a major news source, perceptions of the government as an enemy, and membership in a marginalized or privileged racial or ethnic group.MethodsThis was a nationally representative cross-sectional survey study of adults aged 18 and older in the US, administered from May 13-June 2, 2022. The exposure was social network size, defined by the number of strong social connections. We examined three violence-related outcomes: support for non-political violence, support for political violence, and personal willingness to engage in political violence. We estimated prevalence ratios for associations using survey-weighted Poisson regression with robust standard errors, adjusting for hypothesized confounders and including interaction terms to examine effect measure modification.ResultsThe sample included 8,620 respondents. Median age was 48.4 years (95% CI = 47.9–48.8), 51.5% were female (95% CI = 50.4–52.7%), and 62.7% self-identified as non-Hispanic White (95% CI = 61.4–65.9%). In adjusted models, those with zero strong connections were more likely than those with 1–4 strong social connections to consider political violence usually/always justified in general (PR = 2.43, 95% CI = 1.47–4.01). Those with 50 + strong connections were more likely than those with 1–4 strong social connections to consider political violence usually/always justified in at least one situation (PR = 1.19, 95% CI = 1.03–1.37) and were more likely to report being willing to personally use political violence (PR = 1.52, 95% CI = 1.13–2.04). Associations varied somewhat by social media use, perceptions of the government as an enemy, and racialized identity.ConclusionsIndividuals who reported very few and very many strong social connections were more likely than others to support political violence or be personally willing to engage in it in one form or another. Findings point toward potential intervention and prevention opportunities.

More adverse childhood experiences are associated with increased social thinning and severe psychological distress

Adverse childhood experiences have been linked to psychopathology due to reduced social networks or social thinning. However, evidence of the temporal associations between adverse childhood experiences, social networks, and psychopathology was lacking, as few studies assessed social networks repeatedly. Further, their underlying neurocognitive and biological mechanisms related to hypervigilance and inflammation remain unclear. This study aimed to clarify these associations using a three-wave population-based cohort study during the COVID-19 pandemic (n = 465), where we leveraged repeated social network assessments. Self-reported questionnaires assessed adverse childhood experiences, social network size and diversity, psychological distress, and hypervigilance regarding COVID-19. Blood tests were conducted to measure inflammation markers. Individuals with more adverse childhood experiences demonstrated lesser increases in their social networks than those without adverse childhood experiences. Decreased network sizes were associated with severe psychological distress, but this association did not remain after adjusting for baseline distress. On the other hand, reduced network diversities were associated with increased psychological distress. We did not find any paths through hypervigilance regarding COVID-19 and inflammation that explain associations between adverse childhood experiences, social thinning, and psychological distress. These findings emphasize the significant social network changes in the associations between adverse childhood experiences and psychopathology.