| Title |
Elevated rate of alcohol consumption in borderline personality disorder patients in daily life
|
|---|---|
| Published in |
Psychopharmacology, September 2017
|
| DOI | 10.1007/s00213-017-4727-1 |
| Pubmed ID | |
| Authors |
Ryan W. Carpenter, Constantine J. Trela, Sean P. Lane, Phillip K. Wood, Thomas M. Piasecki, Timothy J. Trull |
| Abstract |
Borderline personality disorder (BPD) is highly associated with alcohol use disorder, but little is known about how BPD individuals consume alcohol or the immediate effects of their consumption. There is therefore a need for research investigating drinking behavior in BPD. The current study examined rate of alcohol consumption in BPD (N = 54) and community individuals (COM; N = 59) within ecologically valid drinking episodes. We hypothesized that rate of consumption would be elevated in BPD individuals. We further hypothesized that rate of consumption would be positively associated with subjective stimulation, but not sedation, and that stimulation would be associated with increased positive affect (PA) and reduced negative affect (NA). Ambulatory assessment was used to assess rate of consumption, subjective alcohol response, and affect in the moment (N observations = 3444). Rate of consumption was defined as change in estimated blood alcohol concentration (eBAC) relative to drinking episode start. Multilevel modeling was used to test hypotheses. As hypothesized, BPD individuals demonstrated a faster increase in eBAC than COM individuals. Rate of consumption was associated with subjective stimulation, but not sedation, in both groups. Stimulation was associated with increased PA in both groups and reduced NA in the BPD group. BPD individuals consumed alcohol more rapidly than COM individuals. Faster consumption may serve as a means for BPD individuals to maximize the rewarding pharmacological effects of alcohol and to increase positive and reduce negative affect. |
X Demographics
The data shown below were collected from the profiles of 2 X users 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 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 45 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 13% |
| Researcher | 5 | 11% |
| Student > Ph. D. Student | 5 | 11% |
| Student > Postgraduate | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Other | 10 | 22% |
| Unknown | 12 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 17 | 38% |
| Social Sciences | 3 | 7% |
| Medicine and Dentistry | 3 | 7% |
| Agricultural and Biological Sciences | 2 | 4% |
| Nursing and Health Professions | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 14 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 17 November 2020.
All research outputs
#14,954,297
of 23,001,641 outputs
Outputs from Psychopharmacology
#4,186
of 5,365 outputs
Outputs of similar age
#187,081
of 315,659 outputs
Outputs of similar age from Psychopharmacology
#25
of 43 outputs
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