ArticleSocial psychiatry and psychiatric epidemiology2026
Assessing the impact of social cohesion on suicide-related emergency calls: a spatial modeling approach.
Article in Social psychiatry and psychiatric epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeGiven the relevance of community-level approaches to suicide prevention, this study aims to examine how neighborhood social cohesion relates to spatial variation in suicide-related emergency calls and whether its inclusion enhances model performance compared to sociodemographic factors alone.
methodsWe analyzed geocoded data on suicide-related emergency calls (N = 6,271) aggregated across 552 census block groups in Valencia (Spain) from 2021 to 2023, provided by the Valencian Regional Government. Sociodemographic indicators were obtained from official municipal statistics (2020), and neighborhood social cohesion was measured using survey data collected across census block groups between 2021 and 2022. Bayesian hierarchical Poisson models were implemented to estimate area-level associations, including models with (1) sociodemographic covariates only, (2) addition of social cohesion, (3) inclusion of an unstructured spatial random effect, and (4) a full spatial model with structured and unstructured random effects.
resultsThe model including sociodemographic factors, social cohesion, and an unstructured random effect provided the best overall fit. Including social cohesion markedly improved model fit and revealed a robust negative association with suicide-related emergency calls: areas with lower cohesion showed a higher relative risk. Additionally, indicators of social disorganization were positively associated with call rates, confirming their joint contribution to neighborhood-level differences in suicide-related calls.
conclusionThe results support the association between higher community social cohesion and lower rates of suicide-related emergency calls. Introducing neighborhood-level social cohesion improves the explanatory power of the spatial model, highlighting its role in neighborhood inequalities and its potential to guide targeted preventive interventions.
Indexed as
Identifiers
42262589What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.