| Title |
Effect of the Number of Pregnancies on Mortality Risk in HIV-Infected Women: a Prospective Cohort Study in Rural KwaZulu-Natal, South Africa
|
|---|---|
| Published in |
AIDS and Behavior, August 2018
|
| DOI | 10.1007/s10461-018-2232-0 |
| Pubmed ID | |
| Authors |
Hyunsuk Yoo, Juyeon Lee, Jae-Joon Yim, Till Bärnighausen, Frank Tanser, Sue K. Park |
| Abstract |
We investigated whether mortality risk increases with the number of full-term pregnancies in HIV-infected women. Our study is based on data from the ACDIS cohort, collected in rural KwaZulu-Natal, South Africa. Mortality risk for different number of pregnancies in HIV-infected women was analyzed using Cox proportional hazards model. The risk of TB or AIDS mortality in HIV-uninfected women did not change with the number of full-term pregnancies, while the corresponding risk increased markedly in HIV-infected women. The risk of TB or AIDS mortality increased 1.48-fold (95% CI 1.25-1.75), 1.76-fold (95% CI 1.45-2.13), and 1.59-fold (95% CI 1.31-1.94) for one, two, and three or more full-term pregnancies compared to none, respectively. Finally, women who are young (age < 26) have greater risk of TB or AIDS mortality compared to women who are old (age ≥ 26), and women residing in rural areas have greater risk compared to women who reside in non-rural areas. |
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 | 2 | 50% |
| Venezuela, Bolivarian Republic of | 1 | 25% |
| United Kingdom | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 19% |
| Researcher | 7 | 13% |
| Student > Bachelor | 4 | 8% |
| Unspecified | 4 | 8% |
| Lecturer | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 18 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 31% |
| Nursing and Health Professions | 5 | 10% |
| Unspecified | 4 | 8% |
| Social Sciences | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 6 | 12% |
| Unknown | 17 | 33% |
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 15 November 2018.
All research outputs
#15,526,761
of 23,849,058 outputs
Outputs from AIDS and Behavior
#2,392
of 3,566 outputs
Outputs of similar age
#201,118
of 332,720 outputs
Outputs of similar age from AIDS and Behavior
#46
of 70 outputs
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