| Title |
Trajectories of Depressive Symptoms Among a Population of HIV-Infected Men and Women in Routine HIV Care in the United States
|
|---|---|
| Published in |
AIDS and Behavior, April 2018
|
| DOI | 10.1007/s10461-018-2109-2 |
| Pubmed ID | |
| Authors |
Angela M. Bengtson, Brian W. Pence, Kimberly A. Powers, Mark A. Weaver, Matthew J. Mimiaga, Bradley N. Gaynes, Conall O’Cleirigh, Katerina Christopoulos, W. Christopher Mathews, Heidi Crane, Michael Mugavero |
| Abstract |
Depressive symptoms vary in severity and chronicity. We used group-based trajectory models to describe trajectories of depressive symptoms (measured using the Patient Health Questionnaire-9) and predictors of trajectory group membership among 1493 HIV-infected men (84%) and 292 HIV-infected women (16%). At baseline, 29% of women and 26% of men had depressive symptoms. Over a median of 30 months of follow-up, we identified four depressive symptom trajectories for women (labeled "low" [experienced by 56% of women], "mild/moderate" [24%], "improving" [14%], and "severe" [6%]) and five for men ("low" [61%], "mild/moderate" [14%], "rebounding" [5%], "improving" [13%], and "severe" [7%]). Baseline antidepressant prescription, panic symptoms, and prior mental health diagnoses were associated with more severe or dynamic depressive symptom trajectories. Nearly a quarter of participants experienced some depressive symptoms, highlighting the need for improved depression management. Addressing more severe or dynamic depressive symptom trajectories may require interventions that additionally address mental health comorbidities. |
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 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 17% |
| Researcher | 8 | 17% |
| Student > Ph. D. Student | 6 | 13% |
| Student > Doctoral Student | 2 | 4% |
| Student > Bachelor | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 16 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 8 | 17% |
| Nursing and Health Professions | 4 | 9% |
| Social Sciences | 3 | 6% |
| Medicine and Dentistry | 2 | 4% |
| Neuroscience | 2 | 4% |
| Other | 5 | 11% |
| Unknown | 23 | 49% |
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 28 April 2018.
All research outputs
#21,186,729
of 23,849,058 outputs
Outputs from AIDS and Behavior
#3,266
of 3,566 outputs
Outputs of similar age
#293,087
of 331,494 outputs
Outputs of similar age from AIDS and Behavior
#75
of 96 outputs
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