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Antisocial Traits and Risky Sexual Behavior in Inpatient Adolescents. JOURNAL OF PSYCHOPATHOLOGY AND BEHAVIORAL ASSESSMENT 2021. [DOI: 10.1007/s10862-021-09931-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Sommer JL, El-Gabalawy R, Contractor AA, Weiss NH, Mota N. PTSD's risky behavior criterion: Associated risky and unhealthy behaviors and psychiatric correlates in a nationally representative sample. J Anxiety Disord 2020; 73:102247. [PMID: 32502805 PMCID: PMC12036565 DOI: 10.1016/j.janxdis.2020.102247] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Revised: 05/15/2020] [Accepted: 05/22/2020] [Indexed: 02/06/2023]
Abstract
Criterion E2 ("reckless or self-destructive behavior") was added to the DSM-5 posttraumatic stress disorder (PTSD) criteria to reflect the established association between PTSD and risky and unhealthy behaviors (RUBs); however, previous research has questioned its clinical significance. To determine whether criterion E2 adequately captures reckless/self-destructive behavior, we examined the prevalence and associations of RUBs (e.g., substance misuse, risky sexual behaviors) with criterion E2 endorsement. Further, we examined associations between criterion E2 and psychiatric conditions (e.g., depressive disorders, anxiety disorders) in a population-based sample of trauma-exposed adults. We analyzed data from the 2012-2013 National Epidemiologic Survey on Alcohol and Related Conditions (N = 36,309). The Alcohol Use Disorder and Associated Disabilities Interview Schedule-5 assessed lifetime DSM-5 psychiatric conditions and self-reported RUBs. Among trauma-exposed adults (n = 23,936), multiple logistic regressions examined criterion E2's associations with RUBs and psychiatric conditions. After adjusting for covariates, all RUBs were associated with E2 endorsement (AOR range: 1.58-3.97; most prevalent RUB among those who endorsed E2: greater substance use than intended [57.0 %]) except binge eating, and E2 endorsement was associated with increased odds of PTSD, bipolar disorder, substance use disorders, and schizotypal, borderline, and antisocial personality disorders (AOR range: 1.65-2.75), and decreased odds of major depressive disorder (AOR = 0.76). Results support the clinical significance of criterion E2 through identifying associated RUBs and distinct correlates. These results may inform screening and intervention strategies for at-risk populations.
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Affiliation(s)
- Jordana L Sommer
- Department of Anesthesiology, Perioperative and Pain Medicine, University of Manitoba, 671 William Avenue, Winnipeg, Manitoba, R3E 0Z2, Canada; Department of Psychology, University of Manitoba, 190 Dysart Road, Winnipeg, Manitoba, R3T 2N2, Canada
| | - Renée El-Gabalawy
- Department of Anesthesiology, Perioperative and Pain Medicine, University of Manitoba, 671 William Avenue, Winnipeg, Manitoba, R3E 0Z2, Canada; Department of Psychology, University of Manitoba, 190 Dysart Road, Winnipeg, Manitoba, R3T 2N2, Canada; Department of Clinical Health Psychology, University of Manitoba, 771 Bannatyne Avenue, Winnipeg, Manitoba, R3E 3N4, Canada; Department of Psychiatry, University of Manitoba, 771 Bannatyne Avenue, Winnipeg, Manitoba, R3E 3N4, Canada
| | - Ateka A Contractor
- Department of Psychology, University of North Texas, 1155 Union Circle, Denton, TX, 76203, United States
| | - Nicole H Weiss
- Department of Psychology, University of Rhode Island, 142 Flagg Road, Kingston, RI, 02881, United States
| | - Natalie Mota
- Department of Clinical Health Psychology, University of Manitoba, 771 Bannatyne Avenue, Winnipeg, Manitoba, R3E 3N4, Canada; Department of Psychiatry, University of Manitoba, 771 Bannatyne Avenue, Winnipeg, Manitoba, R3E 3N4, Canada.
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van Wees DA, Heijne JCM, Heijman T, Kampman KCJG, Westra K, de Vries A, de Wit J, Kretzschmar MEE, den Daas C. A Multidimensional Approach to Assessing Infectious Disease Risk: Identifying Risk Classes Based on Psychological Characteristics. Am J Epidemiol 2019; 188:1705-1712. [PMID: 31145447 PMCID: PMC6736114 DOI: 10.1093/aje/kwz140] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2018] [Revised: 05/24/2019] [Accepted: 05/24/2019] [Indexed: 01/05/2023] Open
Abstract
Prevention of infectious diseases depends on health-related behavior, which is often influenced by psychological characteristics. However, few studies assessing health-related behavior have examined psychological characteristics to identify risk groups, and this multidimensional approach might improve disease risk assessment. We aimed to characterize subgroups based on psychological characteristics and examine their influence on behavior and disease risk, using chlamydia as a case study. Selected participants (heterosexuals aged 18–24 years and females aged 18–24 years who had sex with both men and women) in a Dutch longitudinal cohort study (the Mathematical Models Incorporating Psychological Determinants: Control of Chlamydia Transmission (iMPaCT) Study) filled out a questionnaire and were tested for chlamydia (2016–2017). Latent class analysis was performed to identify risk classes using psychological predictors of chlamydia diagnosis. Two classes were identified: class 1 (n = 488; 9% chlamydia diagnosis) and class 2 (n = 325; 13% chlamydia diagnosis). The proportion of participants with high shame, high impulsiveness, and lower perceived importance of health was higher in class 2 than in class 1. Furthermore, persons in class 2 were more likely to be male and to report condomless sex compared with class 1, but the number of recent partners was comparable. Thus, risk classes might be distinguished from each other by psychological characteristics beyond sexual behavior. Therefore, the impact of the same intervention could differ, and tailoring interventions based on psychological characteristics might be necessary to reduce chlamydia prevalence most effectively.
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Affiliation(s)
- Daphne A van Wees
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Janneke C M Heijne
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - Titia Heijman
- Public Health Service Amsterdam, Amsterdam, the Netherlands
| | | | - Karin Westra
- Public Health Service Hollands Noorden, Alkmaar, the Netherlands
| | - Anne de Vries
- Public Health Service Kennemerland, Haarlem, the Netherlands
| | - John de Wit
- Department of Interdisciplinary Social Science, Faculty of Social and Behavioral Sciences, Utrecht University, Utrecht, the Netherlands
| | - Mirjam E E Kretzschmar
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Chantal den Daas
- Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands
- Department of Interdisciplinary Social Science, Faculty of Social and Behavioral Sciences, Utrecht University, Utrecht, the Netherlands
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