Dataset Information

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 observed for men (β, -0.013; 95% credible interval [CrI], -0.010 to -0.007), and a stable pattern of risk was observed for women (β, -0.001; 95% CrI, -0.010 to 0.007). A decreasing pattern of suicide risk was observed for those aged 15-29 years (β, -0.006; 95% CrI, -0.010 to -0.0001) and 30-49 years (β, -0.001; 95% CrI, -0.018 to -0.002). The risk was stable for those aged >50 years.

Conclusions

The highest risk of suicide mortality was observed in Iran's northwestern provinces and among Kurdish women. Although a low risk of suicide mortality was observed in the provinces of Tehran, Fars, and Gilan, the risk in these provinces is increasing rapidly compared to other regions.

SUBMITTER: Hashemi Nazari SS

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

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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

Hashemi Nazari Seyed Saeed SS Mansori Kamyar K Nazari Kangavari Hajar H Shojaei Ahmad A Arsang-Jang Shahram S

Journal of preventive medicine and public health = Yebang Uihakhoe chi 20220210 2

<h4>Objectives</h4>We aimed to estimate the space-time distribution of the risk of suicide mortality in Iran from 2006 to 2016.<h4>Methods</h4>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.<h4>Results</h4>The relative risk of suicide mortality was greater than 1 in 43.0% of Iran's provinces (posterior probability > ...[more]

PMID: 35391528

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Dataset Information

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

Objectives

Methods

Results

Conclusions

Publications

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

Similar Datasets

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