A latent profile analysis of intimate partner victimization and aggression and examination of between-class differences in psychopathology symptoms and risky behaviors.

The aging of America will include a significant increase in the number of older patients with cancer, many of whom will experience significant depressive symptoms. Although geriatric depression is a well-studied construct, its symptom presentation in the context of cancer is less clear. Latent profile analysis was conducted on depressive symptoms in younger (40-64 years) and older (≥65 years) patients with cancer ( N = 636). The sample was clinically heterogeneous (i.e., included all stages, dominated by advanced stage disease). Participants completed questionnaires including the Center for Epidemiological Studies Depression Scale, which was used for the latent profile analysis. A four-class pattern was supported for each age group. However, the four-class pattern was significantly different between the younger and older groups in terms of the item means within each corresponding latent class; differences were primarily driven by severity such that across classes, older adults endorsed milder symptoms. An unexpected measurement issue was uncovered regarding reverse-coded items, suggesting that they may generate unreliable scores on the Center for Epidemiological Studies Depression Scale for a significant subset of patients. The results indicate that cancer clinicians can expect to see depressive symptoms along a continuum of severity for patients of any age, with less severe symptoms among older patients.

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A Latent Profile Analysis of Aggression and Victimization across Relationship Types Among Veterans Who Use Substances

10.31219/osf.io/n8kub ◽

2019 ◽

Author(s):

RaeAnn Elizabeth Anderson ◽

Maureen Walton ◽

Erin Bonar ◽

Sheila A. M. Rauch ◽

Quyen Epstein-Ngo ◽

...

Keyword(s):

Mental Health ◽

Substance Use ◽

Latent Profile Analysis ◽

Profile Analysis ◽

Intimate Partner ◽

Psychological Aggression ◽

Substance Use Treatment ◽

Legal Problems ◽

Partner Relationships ◽

Latent Profile

Objective: This study examined patterns of violence victimization and aggression in both intimate partner and non-partner relationships among veterans, and used latent profile analysis to identify subtypes of violence involvement. Methods: Participants were 841 substance use treatment-seeking veterans (94% male) from a large VA Medical Center who completed screening measures for a randomized controlled trial. Self-report measures were: substance use, legal problems, depression, and violence involvement. Results: Past year violence involvement, including both intimate partner (IPV) and non-partner (NPV) were common in the sample; although NPV occurred at somewhat higher rates. When including either IPV or NPV aggression or victimization, over 48% reported involvement with physical violence, 31% with violence involving injury and 86% with psychological aggression. Latent profile analysis including both aggression and victimization in partner and non-partner relationships indicated a four profile solution: no-low violence (NLV, n = 701), predominantly IPV (n = 35), predominantly NPV (n = 83), and high general violence (HGV, n = 22). Multinomial logistic regression analyses revealed that compared to the no-low violence group, the remaining three groups differed in demographics, depressive symptoms, alcohol and other drug use, and legal involvement. Individuals within each profile had different patterns of substance use and legal involvement with the participants with an HGV profile reporting the most legal problems. Conclusions: IPV and NPV are relatively common among veterans seeking substance use treatment. Characteristics of violence and associated substance use, mental health, and legal difficulties may be useful in considering how to tailor substance use and mental health services.

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Latent Profile Analysis of Traditional and Cyber-Aggression and Victimization: Associations with Dark Triad Traits and Psychopathology Symptoms

Journal of Psychopathology and Behavioral Assessment ◽

10.1007/s10862-020-09835-2 ◽

2020 ◽

Author(s):

Nicole L. Hayes ◽

Monica A. Marsee ◽

Daniel W. Russell

Keyword(s):

Latent Profile Analysis ◽

Profile Analysis ◽

Dark Triad ◽

Cyber Aggression ◽

Psychopathology Symptoms ◽

Latent Profile

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Identifying Suicide Typologies Among Trauma-Exposed Veterans

Crisis ◽

10.1027/0227-5910/a000637 ◽

2020 ◽

Vol 41 (4) ◽

pp. 288-295 ◽

Cited By ~ 1

Author(s):

Nadia Bounoua ◽

Jasmeet P. Hayes ◽

Naomi Sadeh

Keyword(s):

Latent Profile Analysis ◽

Suicide Attempts ◽

Clinical Symptoms ◽

Profile Analysis ◽

Risky Behaviors ◽

Self Report ◽

Cross Sectional ◽

Research Priority ◽

Self Harm ◽

And Behaviors

Abstract. Background: Suicide among veterans has increased in recent years, making the identification of those at greatest risk for self-injurious behavior a high research priority. Aims: We investigated whether affective impulsivity and risky behaviors distinguished typologies of self-injurious thoughts and behaviors in a sample of trauma-exposed veterans. Method: A total of 95 trauma-exposed veterans (ages 21–55; 87% men) completed self-report measures of self-injurious thoughts and behaviors, impulsivity, and clinical symptoms. Results: A latent profile analysis produced three classes that differed in suicidal ideation, suicide attempts and nonsuicidal self-injury (NSSI): A low class that reported little to no self-injurious thoughts or behaviors; a self-injurious thoughts (ST) class that endorsed high levels of ideation but no self-harm behaviors; and a self-injurious thoughts and behaviors (STaB) class that reported ideation, suicide attempts and NSSI. Membership in the STaB class was associated with greater affective impulsivity, disinhibition, and distress/arousal than the other two classes. Limitations: Limitations include an overrepresentation of males in our sample, the cross-sectional nature of the data, and reliance on self-report measures. Conclusion: Findings point to affective impulsivity and risky behaviors as important characteristics of veterans who engage in self-injurious behaviors.

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