Michal Hajdúk, Valentína Cviková, Sára Majsniarová, Jakub Januška, Alexandra Straková, Vladimír Ivančík, Natália Čavojská, Adam Kurilla, Daniel Dančík, Hana H Kutlíková, Anton Heretik, Petra Brandoburová, Simona Krakovská, Marianna Mrva, Daniel Gerbery, Roman Džambazovič
4 min
This study, titled the DISCONNECT study, investigated the prevalence and correlates of social disconnection—defined as the combination of loneliness (a subjective feeling) and social isolation (an objective lack of social contact)—among 3,006 adults in the Slovak Republic. As social disconnection is increasingly recognized as a major public health crisis, the researchers sought to quantify its impact on mental and physical health and identify specific demographic groups at higher risk.
Researchers conducted a cross-sectional, population-based survey in November 2024 using face-to-face interviews and standardized questionnaires. Participants were assessed using the 3-item UCLA Loneliness Scale and the Lubben Social Network Scale (LSNS-6). The study also measured depressive symptoms via the PHQ-9 and collected data on socio-demographic factors, including employment, income, and partnership status. Statistical analyses, including chi-square tests and logistic regressions, were used to identify independent risk factors for social disconnection.
The study found that approximately one-quarter of the Slovak adult population experiences loneliness, while nearly one-fifth is socially isolated. Notably, the two constructs are distinct: only about 9% of the population experiences both simultaneously, and a significant majority of lonely individuals maintain standard social networks. Key independent risk factors for social disconnection include being unmarried, unemployment, financial strain, and existing mental health conditions. The study also identified parents on maternity or paternity leave as a specific group at elevated risk for loneliness, despite not necessarily being socially isolated.
These findings provide critical empirical evidence for the development of national health policies in the Slovak Republic. By demonstrating that social disconnection is a pervasive issue linked to significant health burdens, the authors argue for targeted interventions that go beyond simple network expansion. Effective policy must address the underlying drivers of disconnection, such as economic instability, lack of social support for parents, and the stigma surrounding mental health, to break the cycle of social isolation and poor health outcomes.
PurposeSocial disconnection, consisting of loneliness and social isolation, is increasingly recognized as a significant public health problem. This cross-sectional population study aims to investigate the prevalence of social disconnection in the general adult population of the Slovak Republic and its associations to socio – demographic/economic and health indicators.MethodsA representative sample of 3006 adults from the Slovak Republic was recruited for this study. Data were collected through standardized questionnaires via face - to - face interviews during November 2024. ResultsThe prevalence of social disconnection was found to be 25.3% for loneliness and 19.1% for social isolation. Both lonely and isolated was about 10% of population Significant associations were identified between social disconnection and mental health conditions, with higher levels of loneliness and social isolation linked to increased severity of depression. Several subpopulations showed higher risks of social disconnection.ConclusionThis study highlights the pervasive nature of social disconnection in the Slovak Republic and its substantial impact on both mental and somatic health. Our findings underscore the need for comprehensive national health policies focusing on social disconnection especially in at-risk populations such as elderly women with lower educational attainment, discriminated individuals, individuals in financial strain, and parents on maternity/paternity leave.
Sam: So what does that mean for intervention design?
Alex: The authors are fairly direct about it. If you deploy a one-size-fits-all "social connection" intervention without first differentiating which construct you're targeting, you're likely misallocating resources. They flag specific at-risk groups — parents on maternity leave, elderly women with lower educational attainment — as populations who are falling through the cracks precisely because current policy doesn't distinguish between the two. Someone lonely in a dense social environment needs something closer to attachment-focused work. Someone isolated needs structural access — transport, proximity, opportunity. Those are not the same programme.
Sam: And the cross-sectional limitation means we still don't know which comes first in the developmental trajectory — whether isolation precedes and causes loneliness, or whether they emerge from independent pathways.
Alex: Right. That's the question a longitudinal follow-up would need to answer. For now, the paper's load-bearing contribution is the empirical case that these constructs diverge enough — in their predictors, their prevalence, and their measurement properties — that treating them as interchangeable is a design flaw, not just a semantic one.
Sam: Which means the first step for any researcher or clinician in this space is getting the measurement right before worrying about the mechanism.
Alex: Precisely. The paper doesn't resolve the causal story, but it does make a credible case that the field has been asking some of the right questions with the wrong instrument. Thanks for listening to ResearchPod.