Social Disconnection Research Articles

Social disconnectedness and the rate of medical conditions: a Danish population-based cohort study

Abstract Background Lack of social connections has a serious impact on health, increasing the risk of medical conditions such as depression, dementia, and coronary heart disease. However, evidence is limited by a disease-specific focus. We aimed to provide a comprehensive overview of differences in incidence rates of a broad range of medical conditions according to social disconnectedness (i.e., loneliness, social isolation, and low social support). Methods We conducted a cohort study using data on loneliness, social isolation, low social support, and a composite measure from the 2013 and 2017 Danish National Health Survey. Survey data was linked with register data on 11 categories of medical conditions through 2021. Poisson regression was applied to estimate incidence rate ratios (IRRs), incidence rate differences, and explore interaction with pre-existing mental disorders. Results Among 162,497 survey participants, 7.6%, 3.5%, and 14.8% were identified as lonely, socially isolated, and with low social support, respectively. Lonely individuals and individuals with low social support had a higher incidence rate of all 11 categories of medical conditions (interquartile range of IRRs, loneliness 1.22-1.49 and low social support 1.10-1.14), whereas this was the case for nine categories among socially isolated individuals (interquartile range of IRRs, 1.01-1.31). Applying the composite measure, the highest IRR was 2.61 (95% CI, 2.34-2.88) for a mental disorder and the lowest 1.03 (95% CI, 0.95-1.10) for cancer. We found neither major sex differences nor substantial interaction with pre-existing mental disorders. Conclusions Our study confirms and extends the available evidence on social disconnectedness and the risk of medical conditions. The attained knowledge may be of significance for mapping group-specific preventative needs and guiding interventions and health practitioners aiming to reduce the disease burden among socially disconnected individuals. Key messages • Based on survey and register data from 162,497 individuals, our study suggests that social disconnectedness, especially loneliness, is a determinant of a broad range of medical conditions. • The findings may be of importance for identifying and targeting the disease burden among socially disconnected individuals.

Nocturnal Awakening Associated with Greater Social Disconnectedness in Older Adults: The Compensatory Role of Cognition

ABSTRACT Objectives This study aimed to explore the association between sleep and social disconnectedness by examining the role of global cognitive function in diverse samples of older adults. Methods Study 1 compared differences in social disconnectedness between older adults with clinical sleep disorders and healthy sleepers. Studies 2 and 3 examined the relationship between objective sleep and social disconnectedness in community-dwelling older adults from two independent datasets. In the three studies, we analyzed the moderating effect of global cognitive function in the association between objective sleep and social disconnectedness. Results Study 1 showed that older adults with clinical sleep disorders had greater social disconnectedness, among whom those with better cognition showed less influence of sleep disorder on social disconnectedness. Studies 2 and 3 showed that nocturnal awakening was robustly associated with social disconnectedness in community-dwelling older adults. Global cognitive function moderated this association, counteracting the negative effect of nocturnal awakening on social function. Conclusions These findings suggest a relationship between objective sleep, particularly nocturnal awakening, and social disconnectedness, and the compensatory role of global cognitive function. Clinical Implications Geriatric caregivers are encouraged to consider cognitive interventions to mitigate sleep-related, specifically excessive nocturnal awakening-related, social disconnectedness in older adults.

“He would do nothing in the office”: Work and alienation in cinematic adaptations of Herman Melville’s Bartleby.

This paper analyzes the representation of the office workplace in filmic adaptations of Melville’s short story “Bartleby, the Scrivener”. Following a brief overview of film adaptations of Melville’s short story, this article will discuss Miro Bilbrough’s (2001) and Gerard Amsellem’s (2013) short films, Andreas Honneths (2010) experimental interpretation as well as Laura Naylor and Kristen Kee’s (2017) stop-motion movie. By, for instance, analyzing how the movies try to replicate the first-person narration, find visual images for Melville’s uncinematic descriptive prose, or underline the thematic importance of writing by incorporating different forms of written text, I will firstly examine techniques of intermedial transposition. Since the filmmakers deploy the setting to reimagine or modernize the story, the set design is to be regarded as an essential part of the adaptation process. Paying particular attention to the usage of space, the visual presentation of physical and metaphorical walls, as well as the utilization of non-human entities as ‘actors,’ I will seek to demonstrate how the movies under study reflect contemporary office environments and dynamics of work culture. Updating the nineteenth-century quills and inkpots to modern office technology, for example, allows the directors to reflect upon how electronic communication can cause or reinforce isolation. Different concepts of alienation serve as an essential theoretical framework for the movies. The adaptations concern themselves with social disconnect, engage in questions of ecological alienation, or focus on a political and socioeconomic interpretation of Bartleby’s passive resistance to productivity and consumption.

Grief and coping among relatives of patients who died of COVID-19 in intensive care during the height of the COVID-19 pandemic.

The grief of relatives of patients who died of COVID-19 in an intensive care unit (ICU) has exacted an enormous toll worldwide. To determine the prevalence of probable prolonged grief disorder (PGD) at 12 months post-loss and beyond. We also sought to examine circumstances of the death during the COVID-19 pandemic that might pose a heightened risk of PGD, and the associations between probable PGD diagnosis, quality of life and social disconnection. We conducted an observational, cross-sectional multicentre study of the next of kin of those who died of COVID-19 between March 2020 and December 2021. Participants were recruited from ICUs in South-East London. The Prolonged Grief Disorder Scale (PG-13-R), Quality-of-Life Scale (QOLS) and Oxford Grief-Social Disconnection Scale (OG-SD) were used. A total of 73 relatives were recruited and assessed, all of them over a year after their loss. Twenty-five (34.2%; 95% CI 23.1-45.4%) relatives of patients who died in the ICU met the criteria for PGD. Those who met the criteria had significantly worse quality of life (QOLS score mean difference 26; 95% CI 17-34; P < 0.001) and endorsed greater social disconnection (OG-SD score means difference 41; 95% CI 27-54; P < 0.001). The findings suggest that rates of PGD are elevated among relatives of patients who died of COVID-19 in the ICU. This, coupled with worse quality of life and greater social disconnection experienced by those meeting the criteria, suggests the need to attend to the social deprivations and social dysfunctions of this population group.

Identifying Veterans with a Higher Risk of Social Needs Using Cluster Analysis.

Many social need screening to advance population health and reduce health disparities, but barriers to screening remain. Improved knowledge of patient populations at risk for social needs based on administrative data could facilitate more targeted practices, and by extension, feasible social need screening and referral efforts. To illustrate the use of cluster analysis to identify patient population segments at risk for social needs. We used clustering analysis to identify population segments among Veterans (N=2010) who participated in a survey assessing nine social needs (food, housing, utility, financial, employment, social disconnection, legal, transportation, and neighborhood safety). Clusters were based on eight variables (age, race, gender, comorbidity, region, no-show rate, rurality, and VA priority group). We used weighted logistic regression to assess association of clusters with the risk of experiencing social needs. National random sample of Veterans with and at risk for cardiovascular disease who responded to a mail survey (N=2010). Self-reported social needs defined as the risk of endorsing (1) each individual social need, (2) one or more needs, and (3) a higher total count of needs. From the clustering analysis process with sensitivity analysis, we identified a consistent population segment of Veterans. From regression modeling, we found that this cluster, with lower average age and higher proportions of women and racial minorities, was at higher risk of experiencing ≥ 1 unmet need (OR 1.74, CI 1.17-2.56). This cluster was also at a higher risk for several individual needs, especially utility needs (OR 3.78, CI 2.11-6.78). The identification of characteristics associated with increased unmet social needs may provide opportunities for targeted screenings. As this cluster was also younger and had fewer comorbidities, they may be less likely to be identified as experiencing need through interactions with healthcare providers.

Using machine learning to understand social isolation and loneliness in schizophrenia, bipolar disorder, and the community

Social disconnection, including objective social isolation and subjective loneliness, is linked to substantial health risks. Yet, little is known about the predictors of social disconnection in individuals with mental illness. Here, we used machine learning to identify predictors of social isolation and loneliness in schizophrenia (N = 72), a psychiatric condition associated with social disconnection. For comparison, we also included two other groups: a psychiatric comparison sample of bipolar disorder (N = 48) and a community sample enriched for social isolation (N = 151). We fitted statistical models of social isolation and loneliness within and across groups. Each model included five candidate predictors: social avoidance motivation, depression, nonsocial cognition, social anhedonia, and social cognition. The results showed that social anhedonia explained unique variance in social isolation and loneliness in all samples, suggesting that it contributes to social isolation and loneliness broadly. However, nonsocial cognition explained unique variance in social isolation only within schizophrenia. Thus, social anhedonia could be a potential intervention target across populations, whereas nonsocial cognition may play a unique role in determining social disconnection in schizophrenia.

The impact of loneliness and social relationship dissatisfaction on clinical and functional outcomes in Dutch mental health service users

The relationship between reduced social connectedness and mental health outcomes is increasingly acknowledged. Yet, relatively little is known about how two crucial subjective aspects of social disconnectedness - loneliness and social relationship dissatisfaction (SRD) - are related to clinical and functional recovery. This cohort study aimed to investigate the associations of loneliness and SRD with various mental health outcomes among 15,512 outpatients from a Dutch mental health service. Demographics and data on loneliness, SRD, symptomatic distress, suicidal ideation, and role functioning, as well as treatment duration, and mortality, were collected. The study analyzed the associations between these factors overall and by diagnostic group, gender, and age, using cross-sectional and longitudinal regression, while controlling for relevant covariates. Findings revealed significant, independent, associations between loneliness, SRD, symptomatic distress, and role functioning across different diagnostic groups. Particularly strong associations were noted in bipolar and psychosis-related disorders. Gender did not significantly influence the strength of associations. In older patients, lower levels of loneliness and SRD were observed, but the impact on clinical and functional outcomes was consistent across ages. Higher loneliness and SRD were associated with longer treatment durations, regardless of age, gender or diagnosis. This study indicates the wide-reaching effects of perceived social disconnectedness on recovery and emphasizes interventions targeting loneliness and SRD to enhance outcomes.

The Effect of Social disconnectedness on Intimate Partner Violence of the Military Veterans after Long-term Service, Focused on The Mediating Effect of Anger

The Effect of Social disconnectedness on Intimate Partner Violence of the Military Veterans after Long-term Service, Focused on The Mediating Effect of Anger

Interest in anime and manga: relationship with (mental) health, social disconnectedness, social joy and subjective well-being

Abstract Aim Our aim was to examine the association between interest in anime and manga and their relationship with (mental) health (in terms of depressive symptoms, anxiety symptoms, health-related quality of life, symptoms of hikikomori), social disconnectedness (in terms of preference for solitude, loneliness, objective social isolation, and perceived social isolation), subjective well-being (in terms of ikigai, life satisfaction, and happiness) and joy (frequency of laughter, and frequency of hugs). Subjects and methods Data were taken from a large sample of the general German adult population aged 18–74 years (n = 4,738 individuals, average age: 46.4 years). Established tools were used to quantify the outcomes. Multiple linear and ordered logistic regressions were used, as appropriate. Results Regressions showed that a higher interest in anime was associated with several adverse mental health and some social disconnectedness outcomes. Contrarily, a higher interest in anime was associated with favorable subjective well-being outcomes, and favorable joy outcomes. Similarly, regressions showed that a higher interest in manga was associated with several adverse (mental) health and some social disconnectedness outcomes. Contrary, it is associated with lower objective social isolation. Moreover, it is not significantly associated with subjective well-being outcomes, but significantly associated with the joy outcome frequency of hugs. Conclusion A higher interest in manga and anime was associated both with negative and positive outcomes. Particularly a higher interest in anime was associated with more favorable subjective well-being scores, laughing and hugging. In this respect, this topic needs to be approached in a very nuanced way.

Digital Enjoyment or Social Disconnection : How Do Online Games Affect Students' Social Lives?

This research aims to analyze the relationship between online game addiction and social interaction and its implications for students' enthusiasm for learning. This research used a quantitative approach with a survey method involving 100 Surakarta students selected through purposive sampling. The instrument used to measure Social Interaction was adapted from (2024) with a reliability coefficient (alpha) of 0.915. And the Online Game Addiction Scale, adapted fromArua et al., (2023) with a reliability coefficient (alpha) of 0.853. Data analysis used descriptive statistics, assumption tests, Pearson correlation, t-test, and coefficient of determination. The results showed that the majority of respondents had a moderate level of online gaming addiction, with a significant negative correlation between gaming addiction and social interaction. Addiction rates were higher in men than women. Interventions should target social and individual contexts, combining education and social support to reduce online gaming addiction among students. Students addicted to online games tend to spend more time in the virtual world; this can divert students' enthusiasm from learning activities. Students become less focused, get tired quickly, or lose enthusiasm for learning because more time and energy is devoted to playing games.

Quiet quitting in the Dominican Republic: the employers’ perspective

Purpose This study aims to explore the phenomenon of “Quiet Quitting” from the perspective of employers in the Dominican Republic, particularly in the context of changes brought about by the COVID-19 pandemic. Design/methodology/approach From a qualitative approach, based on methods of Grounded Theory, in-depth interviews were conducted with managers from various sectors. The data were analysed using open, axial and selective coding techniques to identify emerging themes. Findings The study identifies four main scenarios contributing to quiet quitting: Social Disconnection, Stress and Anxiety, Re-evaluation of Priorities and Changes in Job Expectations. These factors indicate a significant shift in the employee–employer relationship post-pandemic. Research limitations/implications The exploratory nature of this study limits its generalizability. Practical implications Organizations can mitigate quiet quitting by implementing flexible work policies, promoting work-life balance and enhancing communication between supervisors and employees. Social implications Addressing quiet quitting can lead to improved employee well-being, higher productivity and a more positive work environment. Originality/value To the best of the authors’ knowledge, this research is the first to examine quiet quitting in the Dominican Republic from the employers’ perspective, providing unique insights into this understudied phenomenon in the region.

Facilitators and barriers of technology adoption and social connectedness among rural older adults: a qualitative study

ABSTRACT Background Social disconnection is a public health concern among rural Australian older adults. While research suggests technology can enhance social wellbeing and protect against social disconnection, many older adults are not digitally literate, and little is known as to why and how technology adoption could be promoted in rural contexts. This study aimed to (1) explore the barriers and facilitators of technology adoption among rural older adults and (2) determine the potential utility of technology to promote social connectedness in the aged population. The Theoretical Domains Framework and the Behaviour Change Wheel (BCW) were employed to gain a comprehensive understanding of the digital and social behaviours of rural Australian older adults. Methods Semi-structured interviews were conducted with a convenience sample of 33 rural older adults aged between 65 and 87 years. Interviews were conducted over the phone, audio-recorded, and transcribed. Interview transcripts were coded and analysed using thematic analysis and the BCW. Results Numerous barriers and facilitators of technology adoption were identified, with the most prominent being knowledge, perceived value, perceived self-efficacy, and social support. Findings suggest that older adults’ technology adoption is not simply a technical matter, but influenced by various individual, social, and environmental contexts. Consideration of these factors during development, marketing, training and implementation may facilitate technology adoption among older adults. With regard to social connectedness, several rural barriers emerged, including low population density, geographic isolation, limited community opportunities and poor public transport infrastructure. Conclusion Technology was consistently identified as a facilitator of the social experience, indicating that technology is a promising tool to enhance social connectedness among older adults, particularly those living in rural areas. Future research should focus on enhancing the capability, opportunity and motivation of older adults in technology adoption, with reference to the rural contexts.

Robotic companions and healthy aging: A mixed-methods exploration of older adults' perspectives and insights

This study investigates older adults' perceptions and opinions regarding companion robots, contributing to the understanding of the benefits and risks associated with technology designed for senior users. Employing a mixed-methods approach, we first conducted qualitative research to explore key concepts and variables, followed by quantitative testing of the proposed model. The qualitative phase involved online interviews with 182 participants aged 55 or older. Data were analyzed using NVivo software, employing thematic analysis to identify conceptually similar themes. Six primary themes emerged, categorized into perceived benefits (health and wellness, companionship and support, and technology design advantages) and perceived risks (digital dependency and social disconnection, information integrity and online resilience, and implementation costs). Based on the qualitative findings, we developed a research model comprising six hypotheses. The model was subsequently tested quantitatively using structural equation modeling via AMOS with data from 313 adults aged 55 or older. All hypotheses were supported, with the model demonstrating an explanatory power of 56 %. Results indicate that while companion robots offer potential social and emotional support for older adults, they also present significant challenges. The study highlights the importance of balancing the advantages of companion robots with their potential drawbacks. These findings have implications for the design and implementation of smart healthcare devices for older populations, suggesting that maximizing benefits while mitigating risks could enhance adoption and utilization. This research contributes to the growing body of literature on Age technology, offering insights for researchers, technology designers, and healthcare providers working to improve the quality of life for older adults through technological innovations.

‘It’s a group-on-one’: social disconnection as a tool of and defence against child criminal exploitation in the Republic of Ireland

Despite increasing evidence on the exploitation of young people into criminal activity, their perspectives on and experiences of exploitative processes are not well understood. Despite progress in Great Britain with regard to ‘County Lines’ exploitation, and in the Republic of Ireland regarding youth criminality and grooming, the subjective accounts of how young people understand the phenomenon of child criminal exploitation (CCE) remain under-evaluated. This exploratory study captures the perspectives of Irish youth on CCE and draws on the theory of social capital to explore the social structures that enable CCE and the (limited) choices available to the young people.

The Mental Health of Healthcare Workers: Navigating the New Normal.

Increased workloads, fear of illness, social disconnection and high burnout rates during the COVID-19 pandemic caused significant trauma throughout the medical community. Using evidence-based insights from Mental Health Research Canada's quantitative and qualitative data, this article explores how the healthcare community was impacted by the COVID-19 pandemic. Recent trends in national mental health indicators support a theory of a new normal, but some Canadians continue to fall behind. Overall, these insights highlight the need for sustained efforts from leaders, policy makers and researchers that are crucial to supporting the rebuilding of the healthcare sector in Canada.

Insomnia, Social Disconnectedness, and Suicidal Ideation Severity in Underserved Veterans

Insomnia, Social Disconnectedness, and Suicidal Ideation Severity in Underserved Veterans

Correlates of Loneliness and Social Isolation among Older Adults during the COVID-19 Outbreak: A Comprehensive Assessment from a National United States Sample.

This study examined the correlates of loneliness and social isolation among older adults in the United States (U.S.) during the COVID-19 outbreak. We analyzed data from the 2020 National Health and Aging Trends Study, a nationally representative sample of 3257 U.S. older adults aged 65 years and older. We analyzed and identified the sociodemographic, health, social support, and community correlates of loneliness, higher loneliness during versus before the COVID-19 outbreak, and social isolation using weighted multiple logistic regression models. About 35.2% of U.S. older adults reported loneliness during the COVID-19 outbreak, 21.9% reported higher loneliness compared to before the COVID-19 outbreak, and 32.8% were socially isolated during the outbreak. Correlates for increased odds of loneliness included female gender, higher education, physical activity, depression, anxiety, functional limitations, and virtual communication access (only for higher loneliness during COVID-19 outbreak). Correlates for increased odds of social isolation included higher age, non-Hispanic Black, Hispanic, higher number of household children, and metropolitan residence. Our findings provide insights into evidence-based approaches to address social disconnection among U.S. older adults. The wide range of sociodemographic, health, social support, and community correlates identified in this study warrants multifaceted interventions that traverse individual, community, and societal levels to address the loneliness and social isolation epidemic.

Tackling social disconnection: an umbrella review of RCT-based interventions targeting social isolation and loneliness

BackgroundSocial isolation and loneliness are urgent public health concerns associated with negative physical and mental health outcomes. Understanding effective remedies is crucial in addressing these problems. This umbrella review aimed to synthesize and critically appraise scientific evidence on the effectiveness of social isolation and loneliness interventions overall and across subgroups. We focused on systematic reviews (SRs) of randomized controlled trials (RCTs).MethodsWe searched seven databases (June 2022 and updated June 2023) and supplemented the search with grey literature and reference screening to identify SRs published since 2017. Screening, data extraction, and quality assessment using the AMSTAR2 tool were conducted independently by author pairs, with disagreements resolved through discussion.ResultsWe included 29 SRs, 16 with meta-analysis and 13 with narrative synthesis. All SRs focused on loneliness, with 12 additionally examining social isolation. Four SRs focused on young people, 11 on all ages, and 14 on older adults. The most frequently examined intervention types were social (social contact, social support), psychological (therapy, psychoeducation, social skills training), and digital (e.g., computer use and online support). Meta-analyses indicated small-to-moderate beneficial effects, while narrative synthesis demonstrated mixed or no effect. Social interventions for social isolation and psychological interventions for loneliness were the most promising. However, caution is warranted due to the effects’ small magnitude, significant heterogeneity, and the variable quality of SRs. Digital and other interventions showed mixed or no effect; however, caution is advised in interpreting these results due to the highly diverse nature of the interventions studied.ConclusionsThis overview of SRs shows small to moderate effectiveness of social interventions in reducing social isolation and psychological ones in tackling loneliness. Further rigorously conducted RCTs and SRs are needed to guide policy decisions regarding the implementation of efficacious and scalable interventions. Evaluation should focus on both preventive structural interventions and tailored mitigating strategies that address specific types and causes of loneliness.

A Study on Anomie and Neoliberalism: The Role of Social Disconnection on Well-Being

This study analyses whether the levels of anomie and social disconnection as consequences of the perceived implementation of neoliberal economic measures have a negative influence on the well-being of individuals. The study sample consisted of 334 Spanish participants residing in the city and province of Malaga, Spain (201 women and 133 men). The age of the participants ranged from 18 to 80 years (M = 33.22, SD = 15.35). The results obtained in our research showed that anomie and social disconnection exert a serial mediation on the relationship between perceived neoliberalism and well-being. It was obtained that perceived neoliberalism had a positive effect on anomie and that anomie had a positive effect on social disengagement, while pointing to social disengagement having a negative effect on well-being. The results are interpreted from the perspective of social identity, assuming that a society as being in a state of anomie fails to satisfy important psychological needs. This anomie causes individuals to perceive themselves as more disconnected, and as such not benefiting from the potential positive effects of group membership and social identification.

Social Isolation, Loneliness, and Risk of Microvascular Complications Among Individuals With Type 2 Diabetes Mellitus

Rationale & ObjectiveSocial disconnection has been associated with poor cardiometabolic health. This study sought to investigate the associations of social isolation and loneliness with diabetic microvascular complications (DMC) among individuals with type 2 diabetes mellitus (T2DM) and compare these associations to those related to traditional risk factors. Study DesignProspective cohort study. Setting & ParticipantsA total of 24,297 UK Biobank participants with T2DM and no DMC at baseline. ExposureSocial isolation and loneliness measured using self-reported questionnaires. OutcomeThe incidence of DMC defined as a composite of diabetic kidney disease, diabetic retinopathy, or diabetic neuropathy. Analytical ApproachMultivariable cause-specific hazards regression. To compare the relative importance of social disconnection with other established factors, the R2 values of the Cox models were calculated. ResultsDuring a median follow-up of 12.6 years, 5,530 patients were documented to develop DMC (3,458 with diabetic kidney disease, 2,255 with diabetic retinopathy, and 1,146 with diabetic neuropathy). The highest level of social isolation was associated with an increased risk of any DMC component (most vs. least: HR: 1.13; 95% CI: 1.05-1.22), especially diabetic kidney disease (HR: 1.14, 95% CI: 1.04-1.25) and neuropathy (HR: 1.31, 95% CI: 1.11-1.53). Any level of loneliness was associated with an increased risk of any DMC component (HR: 1.12; 95% CI: 1.02-1.23) and diabetic kidney disease (HR: 1.16, 95% CI: 1.03-1.30). Social isolation and loneliness exhibited associations with DMC comparable to other conventional risk factors including smoking, blood pressure, and physical activity. LimitationsLimited generalizability related to the composition of participants in the UK Biobank Study. ConclusionsSocial isolation and loneliness were independently associated with a higher risk of incident DMC among individuals with T2DM, with comparable importance to other traditional risk factors. These findings underscore social isolation and loneliness as novel and potentially modifiable risk factors for DMC.