| Title |
Latent dimensions of posttraumatic stress disorder and their relations with alcohol use disorder
|
|---|---|
| Published in |
Social Psychiatry and Psychiatric Epidemiology, October 2015
|
| DOI | 10.1007/s00127-015-1135-x |
| Pubmed ID | |
| Authors |
Tracey L. Biehn, Ateka A. Contractor, Jon D. Elhai, Marijo Tamburrino, Thomas H. Fine, Gregory Cohen, Edwin Shirley, Philip K. Chan, Israel Liberzon, Joseph R. Calabrese, Sandro Galea |
| Abstract |
The objective of this study was to evaluate the relationship between factors of posttraumatic stress disorder (PTSD) and alcohol use disorder (AUD) using confirmatory factor analysis (CFA) in order to further our understanding of the substantial comorbidity between these two disorders. CFA was used to examine which factors of PTSD's dysphoria model were most related to AUD in a military sample. Ohio National Guard soldiers with a history of overseas deployment participated in the survey (n = 1215). Participants completed the PTSD Checklist and a 12-item survey from the National Survey on Drug Use used to diagnosis AUD. The results of the CFA indicated that a combined model of PTSD's four factors and a single AUD factor fit the data very well. Correlations between PTSD's factors and a latent AUD factor ranged from correlation coefficients of 0.258-0.285, with PTSD's dysphoria factor demonstrating the strongest correlation. However, Wald tests of parameter constraints revealed that AUD was not more correlated with PTSD's dysphoria than other PTSD factors. All four factors of PTSD's dysphoria model demonstrate comparable correlations with AUD. The role of dysphoria to the construct of PTSD is discussed. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 15% |
| Student > Ph. D. Student | 4 | 15% |
| Student > Bachelor | 4 | 15% |
| Professor | 2 | 8% |
| Student > Master | 2 | 8% |
| Other | 5 | 19% |
| Unknown | 5 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 27% |
| Psychology | 6 | 23% |
| Social Sciences | 2 | 8% |
| Business, Management and Accounting | 1 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 7 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 November 2015.
All research outputs
#21,141,111
of 23,794,258 outputs
Outputs from Social Psychiatry and Psychiatric Epidemiology
#2,470
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Outputs of similar age
#240,566
of 285,958 outputs
Outputs of similar age from Social Psychiatry and Psychiatric Epidemiology
#28
of 29 outputs
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