Andet 2018
Is the Prevention Paradox Useful in Suicide Prevention Theory and Strategies?
Udgivelsens forfattere:
Background
Little progress has been made in the areas of suicide prediction,
explanation, and prevention mainly because of the difficulty inherent
in examining a low base-rate behavior such as suicidal
behavior.
Objectives
Geoffrey Rose’s prevention paradox occurs when the majority
of cases with an adverse outcome come from a population of
low or moderate risk, and only a few from a ‘high risk’ group.
The present study intends to test whether the prevention paradox
applies to the initiation of suicide attempts.
Methods
Children born 1980-1985 were followed from age 15 to 29
(N=300,000). Data was analyzed using a discrete-time Cox
model to allow for changing covariates over time. From administrative
registers a number of variables correlated with suicidal
behavior based on suicide prevention theories were collected,
and thereby identify a high-risk group. These variables were
individual risk factors such as living in a disadvantaged area,
parental circumstances and behavior, and individual resource
deficits recorded on yearly basis. An event history from birth
to adulthood is used to estimate hazards at ages 15 to 29
years. The inclusion of event history information in the statistical
model refines the research question: Can we identify
a high risk group (<5%) in the population from whom the
suicide attempts exclusively recruited?
Findings
Family background and parental factors such as mental illness,
suicidal behavior, violence, unemployment and family separation
all contributed independent information to prediction of
adolescent’s suicide attempts. The young person’s hospitalization
for psychiatric disorder (ADHD, anxiety, depression,
severe stress reaction and adjustment disorders) contributed
to the explanation model.
Discussion and Conclusion
There are many factors contributing to suicide risk therefore it
is challenging to identify a high risk group (<5%) in the population.
These findings illustrate that population-based rather
than targeted strategies may be more beneficial for suicide
prevention.
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Publiceret i
International Journal of Population Data Science