| Literature DB >> 26379811 |
Ali Ssetaala1, Jessica Nakiyingi-Miiro2, Stephen Asiimwe3, Annet Nanvubya1, Juliet Mpendo1, Gershim Asiki2, Leslie Nielsen4, Noah Kiwanuka5, Janet Seeley2, Anatoli Kamali2, Pontiano Kaleebu2.
Abstract
INTRODUCTION: Women in fishing communities in Uganda are more at risk and have higher rates of HIV infection. Socio-cultural gender norms, limited access to health information and services, economic disempowerment, sexual abuse and their biological susceptibility make women more at risk of infection. There is need to design interventions that cater for women's vulnerability. We explore factors affecting recruitment and retention of women from fishing communities in HIV prevention research.Entities:
Keywords: HIV; Women; fishing communities; prevention; recruitment; research; retention
Mesh:
Year: 2015 PMID: 26379811 PMCID: PMC4554809 DOI: 10.11604/pamj.2015.21.104.4962
Source DB: PubMed Journal: Pan Afr Med J
Baseline demographic characteristics of women in fishing communities
| Variable | Women | Men | ||
|---|---|---|---|---|
| No. | % | No. | % | |
|
|
| |||
| 13-24 yrs | 204 | 45.4 | 209 | 37.9 |
| 25-29 yrs | 97 | 21.6 | 138 | 25.1 |
| 30+ yrs | 148 | 33.0 | 204 | 37.0 |
|
|
| |||
| Completed Primary | 211 | 47.0 | 268 | 48.6 |
| Incomplete primary | 188 | 41.9 | 229 | 41.6 |
| None | 50 | 11.1 | 54 | 9.8 |
|
|
| |||
| Not married | 119 | 26.5 | 205 | 37.2 |
| Married | 330 | 73.5 | 346 | 62.8 |
|
|
| |||
| Fishing & related tasks | 185 | 41.2 | 435 | 79.0 |
| Bar workers | 61 | 13.6 | 2 | 0.4 |
| Business/trade | 54 | 12.0 | 36 | 6.5 |
| Farming | 59 | 13.1 | 27 | 4.9 |
| Other jobs | 29 | 6.5 | 45 | 8.2 |
|
|
| |||
| Catholic | 184 | 41.0 | 265 | 48.1 |
| Anglican | 106 | 23.6 | 133 | 24.1 |
| Other Christian | 47 | 10.5 | 37 | 6.7 |
| Muslim | 112 | 24.9 | 116 | 21.1 |
|
|
| |||
| No | 161 | 36.1 | 149 | 27.1 |
| Yes | 285 | 63.9 | 400 | 72.9 |
|
|
| |||
| 5-45 yrs | 150 | 33.9 | 245 | 45.0 |
| <5 yrs | 292 | 66.1 | 300 | 55.1 |
p-value < = 0.05,
0.05 < p-value < 0.1
Multivariable analysis of study completion by women in fishing communities
| Variable | No. | Those who completed | Crude analysis | Multivariable analysis | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| % | 95%CI | Odds ratio | 95%CI | p-values | Odds ratio | 95%CI | p-value | |||||
| All women | 449 | 73.9 | 69.9 | 78.0 | 0.108 [ | p < 0.001[ | ||||||
|
| ||||||||||||
| 13-24 yrs | 204 | 67.2 | 60.7 | 73.7 | Ref | |||||||
| 25-29 yrs | 97 | 77.3 | 68.8 | 85.8 | 1.7 | 1.0 | 2.9 | 0.073[ | 1.9 | 1.0 | 3.5 | 0.043[ |
| 30+ yrs | 148 | 81.1 | 74.7 | 87.5 | 2.1 | 1.3 | 3.5 | 0.004[ | 2.2 | 1.2 | 3.9 | 0.009[ |
|
| ||||||||||||
| Catholic | 184 | 79.3 | 73.4 | 85.3 | 1.7 | 1.0 | 3.0 | 0.047[ | 1.7 | 1.0 | 3.0 | 0.068[ |
| Anglican | 106 | 68.9 | 59.9 | 77.8 | Ref | |||||||
| Other | 47 | 66.0 | 51.9 | 80.0 | 0.9 | 0.4 | 1.8 | 0.72 | 0.9 | 0.4 | 1.9 | 0.75 |
| Muslim | 112 | 73.2 | 64.9 | 81.5 | 1.2 | 0.7 | 2.2 | 0.48 | 1.4 | 0.8 | 2.7 | 0.27 |
|
| ||||||||||||
| 5-45 yrs | 150 | 84.7 | 78.8 | 90.5 | 2.1 | 1.2 | 3.6 | 0.007[ | ||||
| <5 yrs | 292 | 68.5 | 63.1 | 73.9 | 2.5 | 1.5 | 4.2 | p < 0.001[ | Ref | |||
|
| ||||||||||||
| Fishing & related tasks | 185 | 77.3 | 71.2 | 83.4 | 1.9 | 1.0 | 3.6 | 0.041[ | 1.9 | 1.0 | 3.8 | 0.063[ |
| Bar workers | 61 | 63.9 | 51.5 | 76.3 | Ref | |||||||
| Business/trade | 54 | 75.9 | 64.1 | 87.7 | 1.8 | 0.8 | 4.0 | 0.17 | 1.8 | 0.8 | 4.3 | 0.19 |
| Farming | 59 | 72.9 | 61.2 | 84.6 | 1.5 | 0.7 | 3.3 | 0.29 | 1.2 | 0.5 | 2.9 | 0.63 |
| Other jobs | 29 | 65.5 | 47.1 | 83.9 | 1.1 | 0.4 | 2.7 | 0.88 | 1.1 | 0.4 | 3.1 | 0.81 |
| Not earning | 61 | 77.0 | 66.2 | 87.9 | 1.9 | 0.9 | 4.2 | 0.12 | 2.4 | 1.0 | 5.7 | 0.048[ |
|
| ||||||||||||
| Single | 43 | 72.1 | 58.1 | 86.1 | 1.3 | 0.6 | 2.9 | 0.57 | 2.3 | 0.9 | 5.8 | 0.069[ |
| Married | 330 | 75.8 | 71.1 | 80.4 | 1.5 | 0.9 | 2.6 | 0.12 | 1.6 | 0.9 | 3.0 | 0.11 |
| Divorced/Widowed | 76 | 67.1 | 56.3 | 77.9 | Ref | |||||||
P-value < = 0.05,
0.05 < p-value < 0.1.
p-value comparing completion rates between males and females.
p-values from the multivariable analysis. Not earning occupation were participants who did activities that never involved any form of income