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193 results on '"Rosellini, A. J."'

26. The impact of relationship type and closeness on mental health following suicide loss.

Author

Brown, Hannah L., Selbe, Sophie M., Flesaker, Michelle, Rosellini, Anthony J., Maple, Myfanwy, Gradus, Jaimie L., and Cerel, Julie

Subjects
PSYCHOLOGICAL typologies, MENTAL illness, COMPLICATED grief, SUICIDE, MENTAL health, SUICIDAL behavior in youth, WIDOWHOOD, GRIEF
Abstract

Background: Most research investigating the effect of suicide on loss survivors has been limited to first‐degree family members. Few studies examine the impact of suicide on others outside the immediate family and the influence of relationship type and closeness on mental health. Methods: This study used data from a sample obtained through random digit dialing (n = 805) to assess exposure to suicide loss, relationship types, perceived closeness, and mental health symptoms (prolonged grief, depression, anxiety, and posttraumatic stress disorder). Results: Familial status, friend status, and higher perceived closeness were associated with prolonged grief, depression, and posttraumatic stress disorder, with the strongest adjusted associations observed for posttraumatic stress disorder and prolonged grief. In general, the magnitude of adjusted standardized associations for closeness and mental health symptoms was stronger than those observed for familial status and mental health symptoms and friend status and mental health symptoms. Conclusion: Closeness, familial status, and friend status are associated with mental health symptoms experienced after suicide loss, but the magnitude of associations was strongest for closeness. Future studies should examine perceived closeness in addition to other factors related to relationship type and dynamics to assess the complexities of suicide bereavement reactions. [ABSTRACT FROM AUTHOR]

Published
2024
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27. Prediction of suicide attempts among persons with depression: a population-based case cohort study.

Author

Jiang, Tammy, Nagy, Dávid, Rosellini, Anthony J, Horváth-Puhó, Erzsébet, Keyes, Katherine M, Lash, Timothy L, Galea, Sandro, Sørensen, Henrik T, and Gradus, Jaimie L

Subjects
SUICIDE risk factors, MENTAL illness risk factors, RISK assessment, RANDOM forest algorithms, PATIENT compliance, PREDICTION models, RECEIVER operating characteristic curves, RESEARCH funding, STATISTICAL sampling, SEX distribution, LONGITUDINAL method, DRUGS, COMPARATIVE studies, CONFIDENCE intervals, MENTAL depression, POISONING, COMORBIDITY
Abstract

Studies have highlighted the potential importance of modeling interactions for suicide attempt prediction. This case-cohort study identified risk factors for suicide attempts among persons with depression in Denmark using statistical approaches that do (random forests) or do not (least absolute shrinkage and selection operator regression [LASSO]) model interactions. Cases made a nonfatal suicide attempt (n  = 6032) between 1995 and 2015. The comparison subcohort was a 5% random sample of all persons in Denmark on January 1, 1995 (n  = 11 963). We used random forests and LASSO for sex-stratified prediction of suicide attempts from demographic variables, psychiatric and somatic diagnoses, and treatments. Poisonings, psychiatric disorders, and medications were important predictors for both sexes. Area under the receiver-operating characteristic curve (AUC) values were higher in LASSO models (in men, 0.85, 95% CI, 0.84-0.86; in women, 0.89, 95% C, 0.88-0.90) than random forests (in men, 0.76, 95% CI, 0.74-0.78; in women, 0.79, 95% CI = 0.78-0.81). Automatic detection of interactions via random forests did not result in better model performance than LASSO models that did not model interactions. Due to the complex nature of psychiatric comorbidity and suicide, modeling interactions may not always be the optimal statistical approach to enhancing suicide attempt prediction in high-risk samples. This article is part of a Special Collection on Mental Health. [ABSTRACT FROM AUTHOR]

Published
2024
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35. The NEO Five-Factor Inventory: Latent Structure and Relationships with Dimensions of Anxiety and Depressive Disorders in a Large Clinical Sample

Author

Rosellini, Anthony J. and Brown, Timothy A.

Abstract

The present study evaluated the latent structure of the NEO Five-Factor Inventory (NEO FFI) and relations between the five-factor model (FFM) of personality and dimensions of "DSM-IV" anxiety and depressive disorders (panic disorder, generalized anxiety disorder [GAD], obsessive-compulsive disorder, social phobia [SOC], major depressive disorder [MDD]) in a large sample of outpatients (N = 1,980). Exploratory structural equation modeling (ESEM) was used to show that a five-factor solution provided acceptable model fit, albeit with some poorly functioning items. Neuroticism demonstrated significant positive associations with all but one of the disorder constructs whereas Extraversion was inversely related to SOC and MDD. Conscientiousness was inversely related to MDD but demonstrated a positive relationship with GAD. Results are discussed in regard to potential revisions to the NEO FFI, the evaluation of other NEO instruments using ESEM, and clinical implications of structural paths between FFM domains and specific emotional disorders. (Contains 3 notes, 3 tables and 1 figure.)

Published
2011
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36. Recovery from DSM-IV post-traumatic stress disorder in the WHO World Mental Health surveys

Author

Rosellini, A. J., Liu, H., Petukhova, M. V., Sampson, N. A., Aguilar-Gaxiola, S., Alonso, J., Borges, G., Bruffaerts, R., Bromet, E. J., de Girolamo, G., de Jonge, P., Fayyad, J., Florescu, S., Gureje, O., Haro, J. M., Hinkov, H., Karam, E. G., Kawakami, N., Koenen, K. C., Lee, S., Lépine, J. P., Levinson, D., Navarro-Mateu, F., Oladeji, B. D., OʼNeill, S., Pennell, B.-E., Piazza, M., Posada-Villa, J., Scott, K. M., Stein, D. J., Torres, Y., Viana, M. C., Zaslavsky, A. M., and Kessler, R. C.

Published
2018
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39. Longitudinal associations of chronic health stress and COVID‐19‐related anxiety among outpatients with anxiety and mood disorders.

Author

Yamin, Nikka, Brown, Timothy A., and Rosellini, Anthony J.

Subjects
COVID-19, CHRONIC diseases, MULTIPLE regression analysis, MENTAL health, EXPERIENCE, AFFECTIVE disorders, MENTAL depression, QUESTIONNAIRES, DESCRIPTIVE statistics, RESEARCH funding, ANXIETY, EMOTIONS, WORRY, OUTPATIENTS, PSYCHOLOGICAL stress
Abstract

Background: The 2019 coronavirus (COVID‐19) pandemic led to elevated levels of psychological distress on a global scale. Given that individuals with pre‐existing physical conditions are at risk for worse COVID‐19 outcomes, those dealing with the stress of physical health problems (including knowing someone with health problems) may experience more severe distress during the pandemic. Methods: Patients with emotional disorders who completed a diagnostic assessment in the 6 months prior to COVID‐19 were surveyed in May–June 2020 on their emotional reactions to COVID‐19 (N = 77). Results: Multiple linear regression was used to test the hypothesis that chronic stress due to having and knowing others with physical health problems would predict COVID‐related worries and behaviours, holding pre‐COVID levels of depression, anxiety and worry about health constant. Chronic stress surrounding the health of others was significantly associated with experiencing more severe COVID‐related worry and behaviours. In comparison, chronic stress due to one's own health problems had weak and non‐significant associations with COVID‐related worries and behaviours. Conclusions: Results indicate that outpatients who report stress about surrounding loved one's health are at risk for experiencing more severe distress during a health pandemic and thus, may benefit from targeted outreach, assessment and intervention. [ABSTRACT FROM AUTHOR]

Published
2023
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42. Occupational differences in US Army suicide rates

Author

Kessler, R. C., Stein, M. B., Bliese, P. D., Bromet, E. J., Chiu, W. T., Cox, K. L., Colpe, L. J., Fullerton, C. S., Gilman, S. E., Gruber, M. J., Heeringa, S. G., Lewandowski-Romps, L., Millikan-Bell, A., Naifeh, J. A., Nock, M. K., Petukhova, M. V., Rosellini, A. J., Sampson, N. A., Schoenbaum, M., Zaslavsky, A. M., and Ursano, R. J.

Published
2015
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43. Mental Disorders, Comorbidity, and Pre-enlistment Suicidal Behavior Among New Soldiers in the U.S. Army: Results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)

Author

Nock, Matthew K., Ursano, Robert J., Heeringa, Steven G., Stein, Murray B., Jain, Sonia, Raman, Rema, Sun, Xiaoying, Chiu, Wai Tat, Colpe, Lisa J., Fullerton, Carol S., Gilman, Stephen E., Hwang, Irving, Naifeh, James A., Rosellini, Anthony J., Sampson, Nancy A., Schoenbaum, Michael, Zaslavsky, Alan M., and Kessler, Ronald C.

Published
2015
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45. Telehealth Transdiagnostic Cognitive Behavioral Therapy for Depression in Parkinson's Disease: A Pilot Randomized Controlled Trial.

Author

Piers, Ryan J., Farchione, Todd J., Wong, Bonnie, Rosellini, Anthony J., and Cronin-Golomb, Alice

Subjects
COGNITIVE therapy, APATHY, PARKINSON'S disease, TELEMEDICINE, MENTAL depression
Abstract

Background: Cognitive behavioral therapy (CBT) is an effective treatment for depression in persons with Parkinson0s disease (PwPD), but there are significant barriers preventing PwPD from receiving care in person. Telehealth CBT circumvents many of these barriers. Objectives: We conducted a pilot randomized controlled trial evaluating the efficacy, feasibility, and acceptability of telehealth transdiagnostic CBT intervention for depression in PwPD. Methods: Twelve PwPD with Major Depressive Disorder were enrolled, half randomly assigned to the treatmentimmediate condition (TI) and half to the waitlist control condition (WLC). TI and WLC participants received 12 CBT sessions and assessments before treatment, immediately after treatment, and at the 6-week follow-up. Results: The intervention was efficacious for treating depression in PwPD, with secondary benefits to anxiety, apathy, learning, memory, and quality of life. Improvements were largely maintained at follow-up. The intervention was highly feasible and acceptable. Conclusions: Telehealth transdiagnostic CBT was an effective intervention for PwPD with depression. [ABSTRACT FROM AUTHOR]

Published
2023
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47. Understanding the elevated suicide risk of female soldiers during deployments

Author

Street, A. E., Gilman, S. E., Rosellini, A. J., Stein, M. B., Bromet, E. J., Cox, K. L., Colpe, L. J., Fullerton, C. S., Gruber, M. J., Heeringa, S. G., Lewandowski-Romps, L., Little, R. J. A., Naifeh, J. A., Nock, M. K., Sampson, N. A., Schoenbaum, M., Ursano, R. J., Zaslavsky, A. M., and Kessler, R. C.

Published
2015

48. Predicting Suicides After Psychiatric Hospitalization in US Army Soldiers: The Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)

Author

Kessler, Ronald C., Warner, Christopher H., Ivany, Christopher, Petukhova, Maria V., Rose, Sherri, Bromet, Evelyn J., Brown, Millard, III, Cai, Tianxi, Colpe, Lisa J., Cox, Kenneth L., Fullerton, Carol S., Gilman, Stephen E., Gruber, Michael J., Heeringa, Steven G., Lewandowski-Romps, Lisa, Li, Junlong, Millikan-Bell, Amy M., Naifeh, James A., Nock, Matthew K., Rosellini, Anthony J., Sampson, Nancy A., Schoenbaum, Michael, Stein, Murray B., Wessely, Simon, Zaslavsky, Alan M., and Ursano, Robert J.

Published
2015
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49. LIFETIME PREVALENCE OF DSM-IV MENTAL DISORDERS AMONG NEW SOLDIERS IN THE U.S. ARMY: RESULTS FROM THE ARMY STUDY TO ASSESS RISK AND RESILIENCE IN SERVICEMEMBERS (ARMY STARRS)

Author

Rosellini, Anthony J., Heeringa, Steven G., Stein, Murray B., Ursano, Robert J., Chiu, Wai Tat, Colpe, Lisa J., Fullerton, Carol S., Gilman, Stephen E., Hwang, Irving, Naifeh, James A., Nock, Matthew K., Petukhova, Maria, Sampson, Nancy A., Schoenbaum, Michael, Zaslavsky, Alan M., and Kessler, Ronald C.

Published
2015
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50. PREVALENCE AND CORRELATES OF SUICIDAL BEHAVIOR AMONG NEW SOLDIERS IN THE U.S. ARMY: RESULTS FROM THE ARMY STUDY TO ASSESS RISK AND RESILIENCE IN SERVICEMEMBERS (ARMY STARRS)

Author

Ursano, Robert J., Heeringa, Steven G., Stein, Murray B., Jain, Sonia, Raman, Rema, Sun, Xiaoying, Chiu, Wai Tat, Colpe, Lisa J., Fullerton, Carol S., Gilman, Stephen E., Hwang, Irving, Naifeh, James A., Nock, Matthew K., Rosellini, Anthony J., Sampson, Nancy A., Schoenbaum, Michael, Zaslavsky, Alan M., and Kessler, Ronald C.

Published
2015
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