| Literature DB >> 23800088 |
Samuel Anu Olowookere1, Najemdeen Ajao Adeleke2, Emmanuel Akintunde Abioye-Kuteyi1, Ijeoma Soromtochi Mbakwe3.
Abstract
BACKGROUND: Malaria and HIV are major causes of morbidity and mortality in sub-Saharan Africa with both diseases highly endemic in Nigeria. This study was conducted to assess the effect of long lasting insecticide treated net (ITN) use and malaria preventive education on burden of malaria parasite among people living with AIDS (PLWHA) at Osogbo southwestern Nigeria.Entities:
Keywords: ITN use; Malaria; PLWHA; Preventive education
Year: 2013 PMID: 23800088 PMCID: PMC3751122 DOI: 10.1186/1447-056X-12-2
Source DB: PubMed Journal: Asia Pac Fam Med ISSN: 1444-1683
Sociodemographic characteristics of PLWHA attending State hospital, Osogbo
| Age group (years) | | |
| 13–18 | 30 | 7.7 |
| 19–29 | 92 | 23.5 |
| 30–39 | 166 | 42.3 |
| ≥40 | 104 | 26.5 |
| Sex | | |
| Male | 120 | 30.6 |
| Female | 272 | 69.4 |
| Education | | |
| None | 90 | 23.0 |
| Primary | 88 | 22.4 |
| Secondary | 130 | 33.2 |
| Tertiary | 84 | 21.4 |
| Marital status | | |
| Single | 64 | 16.3 |
| Married | 314 | 80.1 |
| Divorced/widowed | 14 | 3.6 |
| Occupation | | |
| Trading | 158 | 40.3 |
| Civil servant | 56 | 14.3 |
| Artisan | 98 | 25.0 |
| Police | 18 | 4.6 |
| Clergy | 6 | 1.5 |
| Unemployed | 56 | 14.3 |
Pattern of malaria parasitemia and ITN use among PLWHA at state hospital, Osogbo, Nigeria
| Result at baseline | | |
| Positive | 234 | 59.7 |
| Negative | 158 | 40.3 |
| Result at three month | | |
| Positive | 20 | 5.1 |
| Negative | 372 | 94.9 |
| ITN given at baseline | | |
| Yes | 392 | 100 |
| ITN use at 3 months | | |
| Yes | 348 | 88.8 |
| No | 44 | 11.2 |
Figure 1Flowchart of ITN use and malaria parasitemia among PLWHA.
Respondent’s sociodemographic characteristics and malaria positivity at baseline and three months follow up
| Age group | | | | | | 1.000 |
| 13–29 | 78 (63.9) | 44 (36.1) | 0.25 | 6 (4.9) | 116 (95.1) | |
| ≥30 | 156 (57.8) | 114 (42.2) | | 14 (5.2) | 256 (94.8) | |
| Sex | | | | | | 0.46 |
| Male | 66 (55) | 54 (45) | 0.21 | 8 (6.7) | 112 (93.3) | |
| Female | 168 (61.8) | 104 (38.2) | | 12 (4.4) | 260 (95.6) | |
| Education | | | | | | 0.25 |
| ≤Primary | 114 (64) | 64 (36) | 0.11 | 12 (6.7) | 166 (93.3) | |
| ≥Secondary | 120 (56.1) | 94(43.9) | | 8 (3.7) | 206 (96.3) | |
| Marital status | | | | | | 1.000 |
| Single | 46 (59) | 32 (41) | 0.89 | 4 (5.1) | 74 (94.9) | |
| Married | 188 (59.9) | 126 (40.1) | | 16 (5.1) | 298 (94.9) | |
| Occupation | | | | | | 0.019 |
| Informal sector | 184 (57.9) | 134 (42.1) | 0.13 | 20 (6.3) | 298 (93.7) | |
| Formal sector | 50 (67.6) | 24 (32.4) | | 0 (0) | 74 (100) | |
| ITN use | | | | | | 0.001 |
| Yes | 0 (0) | 0 (0) | | 0 (0) | 348 (100) | |
| No | 234 (59.7) | 158 (40.3) | 20 (45.5) | 24 (54.5) | ||