Researchers conducted seven semi-structured interviews and two focus groups as part of a broader project on violence experienced by LGBTIQA+ people in Chile. The Talca sample comprised seven individual interviews and one focus group with seven participants, while the Santiago comparison consisted of one focus group with five participants. All participants were over 18, lived in one of the two cities and reported subjective experiences of violence. Recruitment combined purposive and snowball sampling through LGBTIQA+ organizations and social networks.

The analysis used reflexive thematic analysis following Braun and Clarke, with reporting guided by the Consolidated Criteria for Reporting Qualitative Research. The researchers selected cases from the broader corpus according to predefined criteria: a high density of explicit territorial references and representation of both study sites. Coding was conducted collaboratively through repeated discussion, but the team did not calculate inter-coder agreement, consistent with the reflexive approach. The selection was not intended to represent all LGBTIQA+ residents of Talca or Santiago statistically.

The first theme was described as an “infrastructure of possibility”: access to information, support references, social networks and spaces affected whether LGBTIQA+ life appeared practicable or precarious. Participants associated territorial context with differences in the language available to describe their experiences and with the ability to identify organizations or people to approach for help. Where formal references were absent, participants described turning to friends or forming self-organized support groups. Accounts also showed that access was stratified within metropolitan Santiago, indicating that administrative boundaries did not necessarily correspond to equal availability of information or support.

The second theme concerned surveillance and reputation. Participants linked conditions in Talca and nearby rural environments with being recognized, observed or subjected to rumor, which narrowed the scope for everyday expression and help-seeking. These accounts included pressure to alter gender expression, voice or conduct in family and professional settings. The authors also describe identity-based mistreatment within LGBTIQA+ environments, including the use of deadnaming by peers or relatives. The analysis treats such behavior as an extension of surveillance rather than as an effect external to community life.

The third theme concerned mobility and education as partial openings. Moving for study and traveling through urban circuits exposed participants to people, events and spaces that were less available in their places of residence, expanding possible futures and social networks. The opening was described as incomplete and reversible: capabilities encountered in Santiago did not necessarily become available after returning to Talca. Messaging groups and locally organized gatherings also functioned as alternative infrastructures of connection in the smaller city, complicating any simple depiction of Talca as lacking solidarity.

The comparison does not establish that territorial scale alone causes violence or determines outcomes. Class, educational position, family relationships, professional environments and community connections shaped participants’ possibilities within the same territory. The authors therefore describe the infrastructure of possibility as jointly produced rather than as a pure effect of city size. A participant’s educational trajectory, for example, could provide access to information and new social contexts, while educational and socioeconomic position also stratified recognition within LGBTIQA+ spaces.

Several limitations constrain the findings. The sample was confined to people aged 19 to 35 who had completed or were pursuing university studies, and it included no trans women. Talca contributed seven interviews and one focus group, whereas Santiago contributed only a focus group; because individual interviews and group discussions can elicit different accounts, some apparent differences between sites may reflect data type rather than place. Recruitment through organizations may also have favored participants with stronger community connections. Rurality appeared mainly through participants’ biographies and movements from rural areas, rather than through sustained comparison with people currently residing in rural localities.

No official Chilean statistical source reported violence or discrimination by sexual orientation or gender identity with the regional disaggregation needed for a direct incidence comparison. The study also used only one focus group for Santiago and treated that city as a contrasting horizon through which participants narrated Talca. Within these limits, the qualitative analysis concludes that urban scale, network density, social legibility and information access operate as conditions shaping LGBTIQA+ violence and survival. The authors say the findings point toward responses addressing territorial conditions, including connectivity, information circulation, community spaces, recognizable support routes and confidentiality safeguards adapted to medium-sized cities and rural environments.

Subject of Research: Qualitative study of territorial conditions shaping LGBTIQA+ violence and survival in Talca and Santiago, Chile

Article Title: Talca no es Santiago: Moral geography, rurality, and infrastructure of possibility in LGBTIQA+ violence and survival

Article References: Albornoz Fuentes, W. O., Valenzuela Gajardo, C. D. P., & Cid Ramírez, T. A. (2026). Talca no es Santiago: Moral geography, rurality, and infrastructure of possibility in LGBTIQA+ violence and survival. PLOS One, 21(10), e0360622. https://doi.org/10.1371/journal.pone.0360622

Image Credits: AI Generated

DOI: 10.1371/journal.pone.0360622

Keywords: LGBTIQA+ violence, qualitative research, Talca, Santiago, territorial inequality, social surveillance, support networks, rurality, education and mobility, Moral, geography, infrastructure

The study, led by Ingrid Jacobson of the Rural Cancer Institute in Staples, Minnesota, together with colleagues affiliated with several US medical institutions, set out to answer a question that had been surprisingly underexplored: does loneliness function as a population-level indicator associated with variation in cancer mortality between communities? While individual-level studies have previously linked loneliness and social isolation to cancer incidence and survival, the authors note that little to no research had examined this relationship at the community scale, where public health surveillance and intervention decisions are actually made. By shifting the analytical lens from the individual to the county, the researchers aimed to determine whether loneliness could serve as a practical signal for identifying communities at elevated risk.

Methodologically, the investigation drew on two large, publicly available data sources. Cancer mortality came from the National Cancer Institute’s State Cancer Profiles, which provides five-year age-adjusted, all-site cancer mortality rates per 100,000 population covering 2018 through 2022. Age adjustment is a critical technical step in this kind of comparison, because counties differ substantially in the age structure of their populations; without it, a county full of retirees would appear to have a cancer problem simply because cancer risk rises with age. Loneliness, meanwhile, was measured using 2022 County Health Rankings data capturing the percentage of adults who report subjective feelings of loneliness, a self-reported measure that reflects the psychological experience of perceived social disconnection rather than the more objective condition of living alone.

To isolate any independent contribution of loneliness, the researchers merged these data with a battery of covariates from the County Health Rankings system, spanning sociodemographic characteristics, health behaviors, and rurality as classified by the US Department of Agriculture’s rural-urban continuum codes. The analysis proceeded through a series of general linear models, beginning with unadjusted estimates and progressively adding controls. In the crude, unadjusted analysis, the association between county-level loneliness and cancer mortality was pronounced: each unit increase in the percentage of lonely adults was associated with a beta coefficient of 1.88 in the age-adjusted mortality rate, a relationship that was highly statistically significant with a p-value below 0.001.

The more consequential result, however, emerged from the fully adjusted models. When the researchers controlled simultaneously for sociodemographic factors, health behaviors, and rurality, the association between loneliness and cancer mortality was attenuated but persisted, with the coefficient falling to 0.88 while remaining statistically significant at p < 0.001. In practical terms, this means that roughly half of the raw association can be explained by the fact that lonely counties also tend to have other characteristics linked to cancer deaths, such as higher smoking prevalence, lower educational attainment, or economic disadvantage. Yet a substantial, independent signal remains, suggesting that loneliness captures something about community health that conventional covariates do not fully absorb.

The authors report that the sociodemographic and health covariates in their models were differentially associated with cancer mortality, meaning some factors carried more explanatory weight than others. This pattern is consistent with a broader epidemiological literature. Prior work has documented strong geographic inequalities in cancer mortality across US counties tied to social determinants, and umbrella reviews have established socioeconomic status as a robust correlate of cancer outcomes. Behavioral pathways are also well characterized: tobacco smoking remains a dominant driver of cancer incidence and death, alcohol consumption contributes to a measurable share of cancer mortality, insufficient sleep has been linked to cancer risk, and rural populations face documented disparities in risk factors and screening access. Loneliness may plausibly intersect with several of these pathways, influencing health behaviors, delaying care-seeking, or reflecting underlying community resource deprivation.

The new county-level findings also dovetail with individual-level evidence that has accumulated over the past decade. A cohort study of Finnish middle-aged men found that loneliness and social isolation were associated with increased cancer incidence, and a 2025 systematic review and meta-analysis published in BMJ Oncology examined the impact of loneliness on cancer mortality among patients. Research using SEER-Medicare data has shown that isolation affects survival among non-Hispanic Black women diagnosed with breast cancer, and a Colombian cohort study identified loneliness as a predictor of mortality in cancer patients. What the new study adds is the ecological perspective: the observation that the burden of cancer death is geographically patterned alongside the burden of loneliness, which matters for how health departments allocate attention and resources across communities.

At the same time, the study’s design imposes important interpretive limits that the authors themselves acknowledge by framing the work as an ecological analysis. Ecological studies examine groups rather than individuals, so the finding that lonely counties have higher cancer mortality does not prove that lonely individuals are more likely to die of cancer, nor that loneliness causes cancer deaths at all. This is the classic ecological fallacy problem: correlations observed at the aggregate level may not hold, or may hold for different reasons, at the individual level. Residual confounding is another concern, since no model can fully adjust for every characteristic that distinguishes one county from another, and cause-of-death data themselves carry well-documented limitations, including under-recording of certain conditions. The five-year mortality estimates and the single-year loneliness measure also come from different windows, complicating any causal sequencing.

Nevertheless, the policy context gives the findings real weight. Loneliness has been formally recognized as a health issue in leading medical journals, and the 2023 US Surgeon General’s advisory on the epidemic of loneliness and isolation called for social connection to be treated as a public health priority. Legislative and governmental responses have followed at multiple levels, including a proposed National Strategy for Social Connection Act in the US Senate, a Combating Loneliness Act in the House, resolutions in New Jersey, California community college districts, and Thurston County in Washington, and earlier national initiatives in the United Kingdom and Japan. If county-level loneliness is indeed a usable indicator of cancer mortality risk, as the study suggests, it could be incorporated into public health surveillance systems alongside measures like smoking prevalence and screening rates, helping to identify communities where social connection interventions might yield the greatest health returns.

The evidence base for such interventions is itself maturing. Meta-analytic work has identified effective approaches to reducing loneliness, and randomized trials have tested internet-based self-help programs with human or automated guidance, one-to-one peer support in mental health services, home-based interventions for older adults, and neighborhood-level efforts to build social connectedness. Telemedicine is also being explored as a tool for expanding access to care in isolated communities, which is particularly relevant given the rurality adjustments in the new analysis and the rural focus of the research team itself. None of this establishes that reducing loneliness would lower cancer mortality, a question that would require longitudinal and interventional study designs. But the study’s central message is difficult to ignore: the communities where Americans report feeling most alone are also the communities where cancer is most lethal, and a public health apparatus that tracks one but not the other may be missing an important part of the picture.

Subject of Research: The association between county-level loneliness and cancer mortality rates in the United States

Article Title: Loneliness is correlated with cancer mortality in US counties: an ecological analysis

Article References: Jacobson, I., Swenson, A., Schroeder, Z., McGovern, E., Northrup, G., & Swenson, W. (2026). Loneliness is correlated with cancer mortality in US counties: an ecological analysis. Supportive Care in Cancer, 34(10), Article 1016. https://doi.org/10.1007/s00520-026-11258-w

Image Credits: AI Generated

DOI: 10.1007/s00520-026-11258-w

Keywords: loneliness, cancer mortality, ecological study, public health, social determinants of health, social isolation, County Health Rankings, National Cancer Institute, rurality, cancer epidemiology, health surveillance, United States