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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Association Between Depressive Symptom Patterns and Clinical Profiles Among Persons Living with HIV
|
|---|---|
| Published in |
AIDS and Behavior, June 2017
|
| DOI | 10.1007/s10461-017-1822-6 |
| Pubmed ID | |
| Authors |
N. E. Kelso-Chichetto, C. N. Okafor, R. L. Cook, A. G. Abraham, R. Bolan, M. Plankey |
| Abstract |
To describe patterns of depressive symptoms across 10-years by HIV status and to determine the associations between depressive symptom patterns, HIV status, and clinical profiles of persons living with HIV from the Multicenter AIDS Cohort Study (N = 980) and Women's Interagency HIV Study (N = 1744). Group-based trajectory models were used to identify depressive symptoms patterns between 2004 and 2013. Multinomial logistic regressions were conducted to determine associations of depression risk patterns. A 3-group model emerged among HIV-negative women (low: 58%; moderate: 31%; severe: 11%); 5-groups emerged among HIV-positive women (low: 28%; moderate: 31%; high: 25%; decreased: 7%; severe: 9%). A 4-group model emerged among HIV-negative (low: 52%; moderate: 15%; high: 23%; severe: 10%) and HIV-positive men (low: 34%; moderate: 34%; high: 22%; severe: 10%). HIV+ women had higher odds for moderate (adjusted odds ratio [AOR] 2.10, 95% CI 1.63-2.70) and severe (AOR 1.96, 95% CI 1.33-2.91) depression risk groups, compared to low depression risk. HIV+ men had higher odds for moderate depression risk (AOR 3.23, 95% CI 2.22-4.69), compared to low risk. The Framingham Risk Score, ART use, and unsuppressed viral load were associated with depressive symptom patterns. Clinicians should consider the impact that depressive symptoms may have on HIV prognosis and clinical indicators of comorbid illnesses. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 9 | 19% |
| Student > Master | 6 | 13% |
| Student > Doctoral Student | 5 | 10% |
| Student > Ph. D. Student | 4 | 8% |
| Other | 3 | 6% |
| Other | 6 | 13% |
| Unknown | 15 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 23% |
| Nursing and Health Professions | 7 | 15% |
| Psychology | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Social Sciences | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 18 | 38% |
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 07 July 2017.
All research outputs
#15,465,346
of 24,518,979 outputs
Outputs from AIDS and Behavior
#2,287
of 3,622 outputs
Outputs of similar age
#182,032
of 321,543 outputs
Outputs of similar age from AIDS and Behavior
#53
of 85 outputs
Altmetric has tracked 24,518,979 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,622 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 321,543 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.