Anxious and depressive symptoms and health-related quality of life in a cohort of people who recently attempted suicide: A network analysis.

BACKGROUND: Suicide is an international health concern with immeasurable impact from the perspective of human and social suffering. Prior suicide attempts, anxious and depressive symptoms, and relatively lower health-related quality of life (HRQoL) are among the most replicated risk factors for suicide. Our goal was to visualize the distribution of these features and their interconnections with use of a network analysis approach in individuals who recently attempted suicide. METHODS: Individuals with a recent suicide attempt were recruited from nine University Hospitals across Spain as part of the SURVIVE cohort study. Anxious and depressive symptoms, and perceived HRQoL were included in the network analysis. Network structures were estimated with the EBICglasso model. Centrality measures and bridge symptoms connecting communities were explored. Subnetworks comparing younger and older individuals, and women and men were analyzed. RESULTS: A total of 1106 individuals with a recent suicide attempt were included. Depressed mood was the symptom with the greatest influence in the overall network, followed by anxiety symptoms such as feeling nervous, worrying, restless, and having difficulties to relax. Perceived general health was associated with increased suicidal ideation in the whole sample. Older people showed a specific connection between perceived general health and depressed mood. LIMITATIONS: The cross-sectional design does not allow determination of established causality. CONCLUSIONS: Depressed mood was the core network's symptom and, therefore, an important target in the management and prevention of suicide. HRQoL had more influence on the network of older populations, in which it should be a primary focus.

Suicide mortality in Spain during the COVID-19 pandemic: Longitudinal analysis of sociodemographic factors.

The COVID-19 pandemic has compromised public health response across the globe. Several countries reported increasing number of suicides during the pandemic. This study aimed to analyze the suicide mortality series in Spain (2000-2021), with a particular interest in depicting longitudinal trends during the COVID-19 pandemic. Moreover, it intended to identify sociodemographic groups with a higher increase in suicide victims during the pandemic. To do so, suicide cases from the National death index data were used. Weighted annual mortality rate was compared between pre-pandemic and pandemic years. Poisson time series models were used to analyze the trend in suicide mortality, considering sociodemographic variables (sex, age, migration status, marital status, and urbanicity). As a result, weighted mortality rate for 2020 was 8.92 (CI95 = [8.29, 9.57]) and 9.21 for 2021 (CI95 = [8.56, 9.88]). Annual mortality from the pandemic years was significantly higher than mortality from the prepandemic ones (p < .01). Poisson regression revealed a significant increase of cases during the pandemic months, RR = 1.05 (CI95 = [1.02, 1.08]); being significant for both sexes, and migration groups (RR > 1.02, across series). A significantly increased number of suicides was also observed for mid-age adults, large urban areas, and single people (RR > 1.05, across series). To sum up, our study supports an increasing number of suicide victims in Spain during the pandemic. We show that the COVID-19 influence on suicide risk factors (e.g., lack of social support networks) plays a critical role in the increasing trend of specific sociodemographic groups.