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- All Subjects: psychology
- All Subjects: Mental Health
- Creators: Chassin, Laurie
- Status: Published
and these exchanges may be critical for achieving evolutionary goals, such as reproduction.
Depending on their reputation, an individual may or may not gain access to resources in order to
achieve their evolutionary goals. Reputation is typically described as being “positive” and
“negative,” but the current study aimed to identify potential nuances to reputations beyond the
traditional dichotomy. It was hypothesized that different types of reputations (such as “friendly”,
“dishonest”, and “aggressive”) would group together in categories beyond “positive” and
“negative.” Additionally, individuals with different life history strategies might find different
reputations important, because the reputations they find most important may help them get the
kinds of resources they need to attain their specific evolutionary goals. Therefore, it was also
predicted that the importance individuals place on different types of reputations would vary as a
function of life history strategy. Exploratory factor analysis identified a five factor structure for
reputations. Individuals also placed varying levels of importance on different types of
reputations, and found some reputations more important than others depending on their life
history strategy. This study demonstrates that reputational information is more nuanced than
previously thought and future research should consider that there may be more than just
“positive” and “negative” reputations in social interactions.
Suicide is a significant public health problem, with incidence rates and lethality continuing to increase yearly. Given the large human and financial cost of suicide worldwide alongside the lack of progress in suicide prediction, more research is needed to inform suicide prevention and intervention efforts. This study approaches suicide from the lens of suicide note-leaving behavior, which can provide important information on predictors of suicide. Specifically, this study adds to the existing literature on note-leaving by examining history of suicidality, mental health problems, and their interaction in predicting suicide note-leaving, in addition to demographic predictors of note-leaving examined in previous research using data from the National Violent Death Reporting System (NVDRS, n = 98,515). We fit a logistic regression model predicting leaving a suicide note or not, the results of which indicated that those with mental health problems or a history of suicidality were more likely to leave a suicide note than those without such histories, and those with both mental health problems and a history of suicidality were most likely to leave a suicide note. These findings reinforce the need to tailor suicide prevention efforts toward identifying and targeting higher risk populations.