Network analysis of the suicidal behaviors in peruvian adults

Introduction: In the study of human behavior, suicide is an emerging public health problem. Given that the majority of people who present suicidal behavior do not communicate it, it is necessary to explore the behaviors that are decisive. Objective: To analyze the suicidal behaviors by means of the analysis of networks in general population of Peruvian adults. Methods: Cross-sectional study and of quantitative approach. 408 Peruvian adults selected by means of convenience sampling and inclusion criteria participated. An instrument was applied to evaluate suicidal behavior and a regularized partial correlation network was estimated. Likewise, the centrality indices (strength and expected influence) and the predictability of the nodes were analyzed. The stability and precision of the network was also evaluated. Results: The network model of suicidal behavior was made up of positive edges. The strongest correlations emerged between suicidal thoughts and suicide intention. The node with greatest strength and influence expected was considering taking his own life. The average predictability was 42% and the node with greatest was prediction was wishing to be dead. The precision of the network was adequate and its stability as well (CS=0,596). Conclusions: The results indicate that suicidal thoughts and the intention to commit suicide are important aspects to understand suicidal behaviors in general population of Peruvian adults. For it, identifying these behaviors be means of the evaluation instruments and clinical interview is a recommended practice for detecting people at risk of suicidal behaviors and suicide prevention.