Kirsten H Dillon1,2, Jeffrey J Glenn1,3, Paul A Dennis1,2,3, Adam J Mann1,2, Charlene A Deming1, Natalie Aho1,2, Jeffrey S Hertzberg1,2, Bryann B DeBeer4,5,6, Eric C Meyer4,5,6,7, Sandra B Morissette8, Kim L Gratz9, Paul J Silvia10, Patrick S Calhoun1,2,3,11, Jean C Beckham1,2,3, Nathan A Kimbrel1,2,3,11. 1. Durham VA Health Care System, Durham, North Carolina, USA. 2. Duke University School of Medicine, Durham, North Carolina, USA. 3. VA Mid-Atlantic Mental Illness Research, Education, and Clinical Center, Durham, North Carolina, USA. 4. VISN 17 Center of Excellence for Research on Returning War Veterans, Waco, Texas, USA. 5. Central Texas Veterans Health Care System, Temple, Texas, USA. 6. Texas A&M University Health Science Center, College Station, Texas, USA. 7. Department of Psychology and Neuroscience, Baylor University, Waco, Texas, USA. 8. University of Texas at San Antonio, San Antonio, Texas, USA. 9. University of Toledo, Toledo, Ohio, USA. 10. University of North Carolina at Greensboro, Greensboro, North Carolina, USA. 11. Development Center of Innovation to Accelerate Discovery and Practice Transformation, VA Health Services Research, Durham, North Carolina, USA.
Abstract
BACKGROUND: The affective states most strongly associated with nonsuicidal self-injury (NSSI) remain poorly understood, particularly among veterans. This study used ecological momentary assessment (EMA) to examine relationships between affect ratings and NSSI urges and behaviors among veterans with NSSI disorder. METHODS: Participants (N = 40) completed EMA entries via mobile phone for 28 days (3722 total entries). Entries included intensity ratings for five basic affective states, as well as NSSI urges and behaviors, during the past 4 hours. RESULTS: Bivariate analyses indicated that each affect variable was significantly associated with both NSSI urges and behaviors. Angry/hostile and sad were most strongly associated with both NSSI urges and behaviors. A multivariate regression revealed that angry/hostile, disgusted with self, and happy (inversely related) were contemporaneously (within the same period) associated with NSSI behaviors, whereas all five basic affective states were contemporaneously associated with NSSI urges. In a lagged model, angry/hostile and sad were associated with subsequent NSSI urges but not behaviors. CONCLUSIONS: Findings highlight the relevance of particular affective states to NSSI and the potential utility of targeting anger in treatments for NSSI among veterans. There is a need for future EMA research study to further investigate temporal relationships between these variables. wileyonlinelibrary.com/journal/sltb.
BACKGROUND: The affective states most strongly associated with nonsuicidal self-injury (NSSI) remain poorly understood, particularly among veterans. This study used ecological momentary assessment (EMA) to examine relationships between affect ratings and NSSI urges and behaviors among veterans with NSSI disorder. METHODS: Participants (N = 40) completed EMA entries via mobile phone for 28 days (3722 total entries). Entries included intensity ratings for five basic affective states, as well as NSSI urges and behaviors, during the past 4 hours. RESULTS: Bivariate analyses indicated that each affect variable was significantly associated with both NSSI urges and behaviors. Angry/hostile and sad were most strongly associated with both NSSI urges and behaviors. A multivariate regression revealed that angry/hostile, disgusted with self, and happy (inversely related) were contemporaneously (within the same period) associated with NSSI behaviors, whereas all five basic affective states were contemporaneously associated with NSSI urges. In a lagged model, angry/hostile and sad were associated with subsequent NSSI urges but not behaviors. CONCLUSIONS: Findings highlight the relevance of particular affective states to NSSI and the potential utility of targeting anger in treatments for NSSI among veterans. There is a need for future EMA research study to further investigate temporal relationships between these variables. wileyonlinelibrary.com/journal/sltb.
Authors: Nathan A Kimbrel; Bryann B DeBeer; Eric C Meyer; Suzy B Gulliver; Sandra B Morissette Journal: Psychiatry Res Date: 2016-06-28 Impact factor: 3.222
Authors: Julian Koenig; Julia Klier; Peter Parzer; Philip Santangelo; Franz Resch; Ulrich Ebner-Priemer; Michael Kaess Journal: Eur Child Adolesc Psychiatry Date: 2020-08-29 Impact factor: 4.785