Spatio-temporal Distribution of Suicide Risk in Iran: A Bayesian Hierarchical Analysis of Repeated Cross-sectional Data.

ABSTRACT:

Objectives

We aimed to estimate the space-time distribution of the risk of suicide mortality in Iran from 2006 to 2016.

Methods

In this repeated cross-sectional study, the age-standardized risk of suicide mortality from 2006 to 2016 was determined. To estimate the cumulative and temporal risk, the Besag, York, and Mollié and Bernardinelli models were used.

Results

The relative risk of suicide mortality was greater than 1 in 43.0% of Iran's provinces (posterior probability >0.8; range, 0.46 to 3.93). The spatio-temporal model indicated a high risk of suicide in 36.7% of Iran's provinces. In addition, significant upward temporal trends in suicide risk were observed in the provinces of Tehran, Fars, Kermanshah, and Gilan. A significantly decreasing pattern of risk was ob

SUBMITTER: Hashemi Nazari SS 

PROVIDER: S-EPMC8995936 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature