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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A cross-sectional, facility based study of comorbid non-communicable diseases among adults living with HIV infection in Zimbabwe
|
|---|---|
| Published in |
BMC Research Notes, August 2016
|
| DOI | 10.1186/s13104-016-2187-z |
| Pubmed ID | |
| Authors |
Itai M. Magodoro, Tonya M. Esterhuizen, Tawanda Chivese |
| Abstract |
Increased antiretroviral therapy uptake in sub-Saharan Africa has resulted in improved survival of the infected. Opportunistic infections are declining as leading causes of morbidity and mortality. Though comprehensive data are lacking, concern has been raised about the rapid emergence of non-communicable diseases (NCDs) in the African HIV care setting. We therefore set out to characterise the NCD/HIV burden among adults living and ageing with HIV infection in Zimbabwe. We conducted a cross-sectional study among patients receiving care in a public sector facility. We reviewed patient records and determined the prevalence of comorbid and multi-morbid NCDs. Associations with patient characteristics were evaluated using univariate and multi-variate logistic regression modelling. Significance testing was done using 2-sided p values and 95 % confidence intervals calculated. We recruited 1033 participants. 31 % were men. Significant gender differences included: older median age, more advanced disease at baseline, and greater use of stavudine and protease inhibitor containing regimens in men compared to women. The prevalence of comorbidity and multi-morbidity were, respectively, 15.3 % (95 % CI 13.3-17.7 %) and 4.5 % (95 % CI 3.4-6.0 %). Women had higher rates than men of both co-morbidity and multi-morbid ity: 21.8 vs. 14.9 %; p = 0.010 and 5.3 vs. 2.9 %; p = 0.025 respectively. The commonly observed individual NCDs were hypertension [10.2 %; (95 % CI 8.4-12.2 %)], asthma [4.3 % (95 % CI 3.1-5.8 %)], type 2 diabetes mellitus [2.1 % (95 % CI 1.3-3.2 %)], cancer [1.8 % (95 % CI 1.1-2.8 %)], and congestive cardiac failure [1.5 % (95 % CI 0.9-2.5 %)]. After adjusting for confounding, only age categories 45-≤55 years (AOR 2.25; 95 % CI 1.37-3.69) and >55 years (AOR 5.42; 95 % CI 3.17-9.26), and female gender (AOR 2.12; 95 % CI 1.45-3.11) remained significantly and strongly associated with comorbidity risk. We found a substantial burden of comorbid non-communicable diseases among HIV infected patients in a high HIV and low-income setting. Integrating non-communicable diseases care, including active screening, with HIV care is recommended. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 266 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 266 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 60 | 23% |
| Student > Ph. D. Student | 23 | 9% |
| Researcher | 22 | 8% |
| Student > Bachelor | 19 | 7% |
| Student > Postgraduate | 18 | 7% |
| Other | 52 | 20% |
| Unknown | 72 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 104 | 39% |
| Nursing and Health Professions | 31 | 12% |
| Social Sciences | 7 | 3% |
| Agricultural and Biological Sciences | 7 | 3% |
| Biochemistry, Genetics and Molecular Biology | 6 | 2% |
| Other | 30 | 11% |
| Unknown | 81 | 30% |
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 06 September 2016.
All research outputs
#19,942,887
of 25,371,288 outputs
Outputs from BMC Research Notes
#3,054
of 4,513 outputs
Outputs of similar age
#285,047
of 381,627 outputs
Outputs of similar age from BMC Research Notes
#56
of 82 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,513 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 27th percentile – i.e., 27% 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 381,627 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 82 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.