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Perceived Burdensomeness: Exploring Potential Vulnerability Factors

Suicide affects hundreds of thousands of people around the world each year. Despite many coordinated efforts to address this problem, in multiple domains, these numbers have risen over the last decade. The Interpersonal Theory of Suicide is a relatively recent theory that has received considerable attention and investigation. Perceived burdensomeness is one of the constructs from this theory. The belief that you are a burden on others is a robust predictor of suicidal ideation and, to a less understood extent, suicidal behavior. To my knowledge, few studies have looked at the factors that lead to perceived burdensomeness. This study was conducted to begin to address this gap in the literature. Attributional style, hopelessness, socially-prescribed perfectionism, and self-esteem were identified as potential vulnerability factors for perceived burdensomeness. One hundred twenty individuals were surveyed about these constructs and perceived burdensomeness. Participants were also asked to read three vignettes based on interviews with individuals with lived experiences related to suicide attempts. Following each vignette, participants were asked to report the level of perceived burdensomeness that they anticipated that they would feel in that situation as an additional analogue measure of perceived burdensomeness. It was found that attributional style, socially-prescribed perfectionism, and self-esteem predicted current levels of perceived burdensomeness. Self-esteem was the only variable that predicted analogue levels of perceived burdensomeness, beyond current levels of depression. This exploratory study has the potential to contribute to the literature by guiding and informing future research related to better understanding or reducing perceived burdensomeness.

Identiferoai:union.ndltd.org:ndsu.edu/oai:library.ndsu.edu:10365/29895
Date January 2019
CreatorsSaxton, Brandon T.
PublisherNorth Dakota State University
Source SetsNorth Dakota State University
Detected LanguageEnglish
Typetext/dissertation, movingimage/video
Formatapplication/pdf, video/mp4

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