| Literature DB >> 25171593 |
Eliud Wekesa1, Ernestina Coast2.
Abstract
OBJECTIVES: Fertility desires require new understanding in a context of expanding access to antiretroviral therapy for people living with HIV/AIDS in Sub-Saharan Africa. This paper studies the fertility desires and their rationales, of slum-dwelling Kenyan men and women living with HIV/AIDS who know their serostatus, but have different antiretroviral therapy treatment statuses. It addresses two research questions: How do people living with HIV/AIDS consider their future fertility? What factors contribute to an explanation of fertility desires among people living with HIV/AIDS.Entities:
Mesh:
Year: 2014 PMID: 25171593 PMCID: PMC4149552 DOI: 10.1371/journal.pone.0106292
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Percentage distribution of socio-demographic characteristics of survey (n = 513) and in-depth interviewees (n = 41) living with HIV/AIDS in Nairobi slums.
| CHARACTERISTIC | QUANTITATIVE | QUALITATIVE | ||
| N | % | N | % | |
|
| ||||
| Korogocho | 260 | 51 | 23 | 56 |
| Viwandani | 253 | 49 | 18 | 44 |
|
| ||||
| Female | 318 | 62 | 23 | 56 |
| Male | 195 | 38 | 18 | 44 |
|
| ||||
| 18–29 | 89 | 17 | 8 | 20 |
| 30–39 | 210 | 41 | 13 | 31 |
| 40 and above | 214 | 42 | 20 | 49 |
|
| ||||
| Married/cohabiting | 281 | 55 | 12 | 29 |
| Divorced/Separated | 91 | 18 | 9 | 22 |
| Widowed | 103 | 20 | 14 | 34 |
| Never Married | 38 | 7 | 6 | 15 |
|
| ||||
| Kikuyu | 156 | 30 | 15 | 37 |
| Luo | 126 | 25 | 11 | 27 |
| Luyia | 104 | 20 | 7 | 17 |
| Kamba | 85 | 17 | 5 | 12 |
| Other | 42 | 8 | 3 | 7 |
|
| ||||
| 0 | 27 | 5 | 2 | 5 |
| 1 or2 | 173 | 34 | 16 | 39 |
| 3 or 4 | 184 | 36 | 14 | 34 |
| 5 or more | 129 | 25 | 9 | 22 |
|
| ||||
| On ART (Ref) | 268 | 52 | 18 | 44 |
| Not on ART | 245 | 48 | 23 | 56 |
Multivariate parsimonious model of predictors of fertility desire among men (18–59) and women of reproductive age (18–49 years) living with HIV/AIDS in Nairobi slums (n = 463).
| CHARACTERISTIC | FERTILITY DESIRE TO HAVE A (NOTHER) CHILD | RISK ESTIMATES | ||
| YES (N = 157) | NO (N = 306) | ADJUSTED OR (95% CI) | VALUE | |
|
| ||||
| Female (Ref) | 71 (26%) | 199 (74%) | 1.00 | |
| Male | 86 (45%) | 107 (55%) | 4.17 (2.46–7.07) | <0.001 |
|
| ||||
| 40 years and above (Ref) | 45 (25%) | 137 (75%) | 1.00 | |
| 18–29 years | 41 (48%) | 45 (52%) | 2.50 (1.18–5.28) | 0.017 |
| 30–39 years | 71 (36%) | 124 (64%) | 1.57 (0.89–2.78) | 0.119 |
|
| ||||
| 5 or more (Ref) | 14 (13%) | 96 (87%) | 1.00 | |
| 0 (No child) | 19 (79%) | 5 (21%) | 29.07 (8.51–99.33) | <0.001 |
| 1 or 2 | 88 (55%) | 83 (45%) | 8.99 (4.29–18.83) | <0.001 |
| 3 or 4 | 36 (21%) | 132 (79%) | 2.03 (0.97–4.24) | 0.059 |
|
| ||||
| Poorest (Ref) | 23 (26%) | 67 (74%) | 1.00 | |
| Second | 32 (33%) | 64 (67%) | 1.54 (0.74–3.22) | 0.250 |
| Third | 44 (40%) | 67 (60%) | 2.15 (1.06–4.37) | 0.033 |
| Fourth | 26 (35%) | 65 (48%) | 2.19 (1.01–4.76) | 0.048 |
| Richest | 32 (34%) | 60 (66%) | 1.68 (0.80–3.51) | 0.172 |
|
| ||||
| On ART (Ref) | 85 (36%) | 152 (64%) | 1.00 | |
| Not on ART | 72 (32%) | 152 (68%) | 0.75 (0.47–1.19) | 0.222 |
|
| – | – | 1.59 (1.08–2.34) | 1.019 |