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Previous suicide attempt is a strong risk factor for subsequent suicide and other causes of mortality, but evidence from China is sparse. In this study, follow up face-to-face interviews were conducted with suicide attempters or a key informant, and any subsequent deaths were examined through local cause-of-death censoring databases to ascertain details surrounding the death. Competitive risk models and Cox proportional hazard regression models were used to ascertain significant risk factors of suicide, non-suicide and overall deaths following suicide attempt. Predictive nomograms were also constructed to predict the probability of suicide, non-suicide, and overall deaths. A total of 1103 suicide attempters were successfully interviewed with an average follow-up time of 7.48 (7.38-7.57) years. The cumulative rates of suicide at 1, 2, 3, 5 and 10 years were 0.27%, 0.63%, 0.91%, 1.56%, and 1.83%, respectively. Factors significantly associated with subsequent suicide were advancing age, history of suicide attempt, and mental disorders. Significant risk factors for non-suicide death included males, advancing age, and physical illness. Overall deaths during the follow-up period were associated with males, advancing age, physical illness, and mental disorders. Predictive models showed good ability with satisfactory C-indexes (between 0.77 and 0.86) and excellent calibration performance in predicting the varying causes of subsequent death among suicide attempters in rural China., (Copyright © 2022 Elsevier Ltd. All rights reserved.)

Background: Research on predictors and risk of recurrence after suicide attempt from China is lacking. This study aims to identify risk factors and develop prediction models for recurrent suicidal behavior among suicide attempters using Cox proportional hazard (CPH) and machine learning methods., Methods: The prospective cohort study included 1103 suicide attempters with a maximum follow-up of 10 years from rural China. Baseline characteristics, collected by face-to-face interviews at least 1 month later after index suicide attempt, were used to predict recurrent suicidal behavior. CPH and 3 machine learning algorithms, namely, the least absolute shrinkage and selection operator, random survival forest, and gradient boosting decision tree, were used to construct prediction models. Model performance was accessed by concordance index (C-index) and the time-dependent area under the receiver operating characteristic curve (AUC) value for discrimination, and time-dependent calibration curve along with Brier score for calibration., Results: The median follow-up time was 7.79 years, and 49 suicide attempters had recurrent suicidal behavior during the study period. Four models achieved comparably good discrimination and calibration performance, with all C-indexes larger than 0.70, AUC values larger than 0.65, and Brier scores smaller than 0.06. Mental disorder emerged as the most important predictor across all four models. Suicide attempters with mental disorders had a 3 times higher risk of recurrence than those without. History of suicide attempt (HR = 2.84, 95% CI: 1.34-6.02), unstable marital status (HR = 2.81, 95% CI: 1.38-5.71), and older age (HR = 1.51, 95% CI: 1.14-2.01) were also identified as independent predictors of recurrent suicidal behavior by CPH model., Conclusions: We developed four models to predict recurrent suicidal behavior with comparable good prediction performance. Our findings potentially provided benefits in screening vulnerable individuals on a more precise scale., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

Objective: Emerging evidence suggests that vitamin D might protect from attempted suicide. The study aimed to investigate the associations between single-nucleotide polymorphisms (SNPs) related to vitamin D levels identified in a large genome-wide association study and attempted suicide in rural China., Methods: This 1:1 matched case-control study included altogether 510 suicide attempters and 510 community controls. Genotypes of four target SNPs (DHCR7-rs12785878, CYP2R1-rs10741657, GC-rs2282679, and CYP24A1-rs6013897) were determined, and a genetic risk score (GRS) was constructed to evaluate the combined effect of them. Demographic and psychological information was acquired through face-to-face interviews., Results: The A allele of CYP24A1-rs6013897 was significantly associated with attempted suicide (OR = 1.27, 95% CI, 1.03-1.58, P = 0.029), even after adjusting for demographic and psychological confounders (adjusted OR = 1.53, 95% CI, 1.01-2.30, P = 0.043). The GRS analyses revealed a significantly higher risk of attempted suicide with a greater number of low vitamin D alleles (adjusted OR = 1.33, 95% CI, 1.13-1.58, P < 0.001). Subgroup analyses stratified by sex indicated that the genetic associations were only significant among males with adjusted ORs of 3.77 (95% CI, 1.56-9.10) for the A allele of rs6013897 and 2.04 (95% CI, 1.32-3.17) for GRS., Conclusions: Our findings identity CYP24A1-rs6013897 as a potential biomarker for attempted suicide and indicate that a genetic predisposition to lower vitamin D levels may contribute to attempted suicide. It suggests the possibility that vitamin D may have the preventive potential for attempted suicide., (Copyright © 2021 Wolters Kluwer Health, Inc. All rights reserved.)

Background: Psychological Strain Scales (PSS) were developed to measure four types of strain comprising value strain, deprivation strain, aspiration strain, and coping strain. This study aimed to evaluate the psychometric properties of the Chinese version of 40-item PSS in suicide attempters and community controls of rural China., Methods: Data of this study came from the investigation of 132 suicide attempters and their paired community controls matched with the same sex, age (±3 years) and residence in five counties in rural Shandong, China. The Chinese version of PSS, the Center for Epidemiologic Studies Depression Scale (CES-D), the Trait Anxiety Inventory (TAI) and the Self-esteem Scale (SES) were administered and reliability test and validity test of the PSS were conducted., Results: Cronbach's α and Guttman Spilt-Half coefficient of PSS was 0.942 and 0.842 for suicide attempters, and 0.950 and 0.874 for community controls. For both suicide attempters and community controls, the Exploratory Factor Analysis indicated a one-factor structure of each strain scale, which accorded with the original factor structure proposed by the authors. The scores of the total PSS and four subscales were positively correlated with the scores of CES-D and TAI; and negatively correlated with the score of SES, which indicated a good performance in convergent validity., Limitations: This study was limited to its generalizability to the Chinese urban population., Conclusions: The Chinese version of the 40-item PSS has satisfactory psychometric properties in terms of reliability and validity in Chinese rural suicide attempters and community controls., Competing Interests: Declaration of Competing Interest All the authors declare that they have no conflicts of interest., (Copyright © 2020. Published by Elsevier B.V.)