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Suicide prevention and community-level indictors.
Laurel L Hourani1, Lucy Davidson, Monique Clinton-Sherrod
1Department of Health, Social, and Economics Research, RTI International, 3040 Cornwallis Road, Research Triangle Park, NC 27709, USA.
Evaluation and Program Planning
|October 24, 2007
Summary
Community social factors like DUI crashes and an aging population are key indicators for predicting suicide rates. These findings can guide local suicide prevention strategies.
Area of Science:
- Public Health
- Sociology
- Epidemiology
Background:
- Suicide prevention efforts require accessible community condition measures.
- Existing data can be leveraged to identify relevant social indicators.
Purpose of the Study:
- To develop easily obtainable measures of community condition for suicide prevention.
- To identify social indicators correlating with county suicide rates.
Main Methods:
- Gathered data on nine social indicators across 159 Georgia counties (1995-1999).
- Analyzed correlations between averaged social indicators and 5-year county suicide rates.
- Utilized multivariate modeling to identify significant correlates.
Main Results:
- Number of driving under the influence of alcohol or drugs (DUI) crashes significantly correlated with suicide rates.
- Percentage of the population aged 65 or older was also a significant correlate.
- These indicators remained significant when controlling for other factors.
Conclusions:
- DUI crashes and an aging population are significant predictors of county suicide rates.
- These findings offer a preliminary model for assessing community suicide risk.
- Further research is needed to generalize findings to other populations and regions.
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