Profiling ambivalence in the context of nonsuicidal self-injury.
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ABSTRACT: Background
We aimed to identify profiles of ambivalence among individuals with a history of non-suicidal self-injury (NSSI) and tested whether profiles differed across various theoretically informed constructs: NSSI-related characteristics, cognitive (outcome expectancies, self-efficacy to resist NSSI), emotional (psychological distress, difficulties in emotion regulation), personality, and incentives to engage/not engage in NSSI.Methods
Individuals with a lifetime history of NSSI (n = 224) reported the extent to which they wanted to and did not want to engage in NSSI and completed well-validated measures of the constructs of interest.Results
Latent profile analysis indicated four ambivalence profiles (avoid: n = 39; moderately ambivalent: n = 85; highly ambivalent: n = 30; approach: n = 70). The profiles differed across a number of NSSI-related characteristics, cognitive, emotional, and incentive-related variables. Differences between the ambivalence profiles and the avoid/approach profiles varied across constructs. For example, the ambivalence and approach profiles were similar for NSSI-related outcome expectancies, but the ambivalence and avoidance profiles were similar for self-efficacy to resist NSSI.Conclusion
Findings highlight variation between the desire to engage or not engage in NSSI that are consistent with the notion of ambivalence. Understanding these differences may allow for a more person-centered approach in treatment for NSSI.
SUBMITTER: Gray N
PROVIDER: S-EPMC10952785 | biostudies-literature | 2023 Aug
REPOSITORIES: biostudies-literature
Publications
Profiling ambivalence in the context of nonsuicidal self-injury.
Gray Nicole N Uren Hannah H Pemberton Ethan E Boyes Mark M
Journal of clinical psychology 20230225 8
<h4>Background</h4>We aimed to identify profiles of ambivalence among individuals with a history of non-suicidal self-injury (NSSI) and tested whether profiles differed across various theoretically informed constructs: NSSI-related characteristics, cognitive (outcome expectancies, self-efficacy to resist NSSI), emotional (psychological distress, difficulties in emotion regulation), personality, and incentives to engage/not engage in NSSI.<h4>Methods</h4>Individuals with a lifetime history of NSS ...[more]
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Project description:BackgroundThere is growing interest in the design of digital interventions to improve conditions for young people who engage in high-risk behaviors, like nonsuicidal self-injury (NSSI). However, few studies have focused on how young people self-manage NSSI, or their existing, and historic, use of technologies to support their goals related to NSSI behavior change. Such an understanding has the potential to inform the design of digital interventions that meet this population's unique needs.ObjectivesThis study aims to (a) understand the self-management practices of young adults who engage in NSSI, (b) explore how they currently use technologies for self-injury self-management, and (c) identify the ways they can envision an app-based technology supporting their self-management.Methods and materialsTwenty young adults (aged 18-24) with lived experience of NSSI, and who were not currently enrolled in therapy, were recruited from online venues. Participants completed baseline measures to assess mental health and NSSI characteristics, followed by a virtual 1-h semi-structured interview where they were invited to share their experience of self-management, their goals, and their thoughts on supportive technology. Interview scripts were transcribed and analyzed via thematic analysis.ResultsThemes and sub-themes are organized under two broad domain areas: (1) How young adults self-manage NSSI thoughts and behaviors and (2) Opportunities and challenges for digital interventions to assist young adults in their recovery process. We found that young adults had varied experiences with, and goals related to, NSSI. Participants reported a lack of effective strategies to reduce NSSI urges and a desire for an app-based technology to track patterns and deliver personalized suggestions for self-management. Participants reported existing use of technologies as part of self-management, as well as early information and support seeking for NSSI online.ConclusionsThis study contributes a greater understanding of young people's experiences with self-injury, their self-management practices, and their desire to engage with technology. Our findings highlight the need for design flexibility in developing digital interventions that support individual goals, unique presentations of NSSI, and needs at different phases of recovery. Implications for the design of highly personalized and relevant digital interventions to address NSSI are discussed.
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Project description:Nonsuicidal self-injury (NSSI) is a common but poorly understood phenomenon in adolescents. This study examined the Sustained Threat domain in female adolescents with a continuum of NSSI severity (N = 142). Across NSSI lifetime frequency and NSSI severity groups (No + Mild NSSI, Moderate NSSI, Severe NSSI), we examined physiological, self-reported and observed stress during the Trier Social Stress Test; amygdala volume; amygdala responses to threat stimuli; and resting-state functional connectivity (RSFC) between amygdala and medial prefrontal cortex (mPFC). Severe NSSI showed a blunted pattern of cortisol response, despite elevated reported and observed stress during TSST. Severe NSSI showed lower amygdala-mPFC RSFC; follow-up analyses suggested that this was more pronounced in those with a history of suicide attempt for both moderate and severe NSSI. Moderate NSSI showed elevated right amygdala activation to threat; multiple regressions showed that, when considered together with low amygdala-mPFC RSFC, higher right but lower left amygdala activation predicted NSSI severity. Patterns of interrelationships among Sustained Threat measures varied substantially across NSSI severity groups, and further by suicide attempt history. Study limitations include the cross-sectional design, missing data, and sampling biases. Our findings highlight the value of multilevel approaches in understanding the complexity of neurobiological mechanisms in adolescent NSSI.
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