A study exploring regional level predictors of suicide rates across time in Sweden

TL;DR

This study explores how regional factors like economics and education in Sweden may influence suicide rates over time.

Contribution

The study contributes by examining regional and national-level predictors of suicide rates using longitudinal modeling in Sweden.

Findings

Regional economic and socio-demographic factors are being investigated for their association with suicide rates.

Healthcare-related variables like trust in the healthcare system are explored as potential predictors.

Findings will support broader suicide prevention strategies at the regional and national levels.

Abstract

In Sweden, four lives are lost to suicide each day. Hence, identifying relevant risk factors to inform effective prevention strategies is key. Such strategies can range from individual (‘micro’) -level prevention methods, to broader national suicide prevention policies.

Whilst a range of studies have explored individual-level risk factors, highlighting municipal, regional, or national-level predictors can be valuable to identify broader social and contextual determinants. This study will therefore aim to go beyond proximal predictors of suicide by looking through a wider national- and regional-level lens in Sweden.

This project will be conducted utilizing routinely collected and publicly available data and applying longitudinal modelling to investigate potential predictors of changes in suicide rates across time in Sweden. More specifically, the study will explore whether regional data on economic (e.g. proportion of state benefit recipients), socio-demographic (e.g. educational level) and healthcare related variables (e.g. trust in the healthcare system) are associated with suicide rates over time.

This is an ongoing project and results will be available and presented at the time of the conference.

Utilizing publicly available data to explore potential predictors of suicide rates is not only cost-effective, but adding such findings to existing knowledge of individual-level risk factors can also be important when targeting wider policy and ensuring effective coordination and implementation of regional suicide prevention strategies.

None Declared