| Literature DB >> 33447087 |
Mesay Lema Geleta1, Fithamlak Bisetegn Solomon2, Efrata Girma Tufa3, Fekadu Elias Sadamo3, Samson Kastro Dake3.
Abstract
PURPOSE: Anemia is a global public health problem, and the majority of human immunodeficiency virus (HIV)-positive people become anemic at some point in the course of the disease. We lack adequate evidence on the magnitude of anemia among children on highly active antiretroviral therapy in Ethiopia and particularly in South Ethiopia. Thus, this study aimed at determining the proportion and associated factors of anemia among children on highly active antiretroviral therapy in Wolaita zone, South Ethiopia. PATIENTS AND METHODS: A facility-based cross-sectional study was conducted from November to December 2018 on 256 children from 6 months to 14 years of age who were on antiretroviral therapy. Data were collected through an interview with caregivers and review of medical records. CD4+ cell count was analyzed using FACS Calibur, and hemoglobin level was measured with a Hem cue 301 analyzer. Stool samples were examined for the presence of intestinal parasites by direct wet mount technique. Data analyzed with Stata version 14.0 were conveyed in mean and standard deviation of the mean, median and inter-quartile range. Multivariate analysis was carried out to identify independent predictors of the outcome variable. Adjusted odds ratio with 95% confidence interval was reported.Entities:
Keywords: Ethiopia; HIV; Wolaita; anemia; anti-retroviral therapy; children
Year: 2021 PMID: 33447087 PMCID: PMC7802890 DOI: 10.2147/HIV.S282845
Source DB: PubMed Journal: HIV AIDS (Auckl) ISSN: 1179-1373
Socio-Demographic Characteristics of Children and Caregivers Involved in This Study at Wolaita Zone in South Ethiopia, December 2018
| Variables (n=256) | Frequency | Percent | |
|---|---|---|---|
| Sex | Male | 116 | 45.3 |
| Female | 140 | 54.7 | |
| Age | 6 months to 11 years | 112 | 43.8 |
| 12–14 years | 144 | 56.2 | |
| Residence | Rural | 192 | 75.0 |
| Urban | 64 | 25.0 | |
| Educational status of caregiver | No formal education | 85 | 33.2 |
| Primary (1–8) | 87 | 34.0 | |
| Secondary (9–12) | 23 | 9.0 | |
| Above secondary | 61 | 23.8 | |
| Occupation of caregiver | Unemployed | 46 | 18.0 |
| Government/NGO employee | 74 | 28.9 | |
| Merchant | 60 | 23.4 | |
| Daily laborer | 44 | 17.2 | |
| Farmer | 32 | 12.5 | |
| Monthly income of household in Ethiopian Birr (ETB) | ≤2000 | 138 | 53.9 |
| 2001–4000 | 73 | 28.5 | |
| >4000 | 45 | 17.6 | |
| Source of drinking water | Pipe/tap | 171 | 66.8 |
| Protected well/spring | 69 | 27.0 | |
| Unprotected well/spring/river | 16 | 6.2 | |
| Ways of treating water | Boiling | 31 | 12.1 |
| Using chemicals | 192 | 75.0 | |
| Filtration | 33 | 12.9 | |
Clinical and Immunological Characteristics of Children Involved in This Study at Wolaita Zone in South Ethiopia, December 2018
| Variables (n=256) | Frequency | Percent | |
|---|---|---|---|
| Duration of HAART | <60 months | 85 | 33.2 |
| ≥60 months | 171 | 66.8 | |
| Baseline WHO stage | Stage 1 | 51 | 19.9 |
| Stage 2 | 49 | 19.1 | |
| Stage 3 | 132 | 51.6 | |
| Stage 4 | 24 | 9.4 | |
| Current WHO stage | T1b | 251 | 98.0 |
| T2/T3c | 5 | 2.0 | |
| Current drug regimen | TDF based | 18 | 7.0 |
| AZT based | 225 | 87.9 | |
| ABC based | 13 | 5.1 | |
| Opportunistic infections | Yes | 44 | 17.2 |
| No | 212 | 82.8 | |
| Taking co-trimoxazole | Yes | 73 | 28.5 |
| No | 183 | 71.5 | |
| Baseline CD4 count (cells/mm3) (n=240) | ≤200 | 31 | 12.9 |
| 201–350 | 34 | 14.2 | |
| >350 | 175 | 72.9 | |
| Current CD4 count (cells/mm3) (n=212) | ≤200 | 9 | 4.3 |
| 201–350 | 21 | 9.9 | |
| >350 | 182 | 85.8 | |
Notes: bOn treatment stage 1, cOn treatment stage 2/3.
Dietary, Hygienic and Parasitological Characteristics of Children and Caregivers Involved in This Study at Wolaita Zone in South Ethiopia, December 2018
| Variables (n=256) | Frequency | Percent | |
|---|---|---|---|
| Dietary counseling for caregiver | Yes | 252 | 98.4 |
| No | 4 | 1.6 | |
| Receiving nutritional support | Yes | 143 | 55.9 |
| No | 113 | 44.1 | |
| Number of meals per day | ≤ three | 129 | 50.4 |
| >three | 127 | 49.6 | |
| Skip regular meals | Yes | 127 | 49.9 |
| No | 129 | 50.4 | |
| Dietary diversity | <4 | 115 | 44.9 |
| ≥4 | 141 | 55.1 | |
| Intestinal parasitic infection | Yes | 45 | 17.6 |
| No | 211 | 82.4 | |
Factors Associated with Anemia Among Children Involved in This Study at Wolaita Zone in South Ethiopia, December 2018
| Variables (n=256) | Anemic | Non-Anemic | COR (95% CI) | AOR (95% CI) |
|---|---|---|---|---|
| 6 months to 11 years | 37 (33.04%) | 75 (66.96%) | 0.67 (0.40, 1.12) | 1.08 (0.56, 2.12) |
| 12–14 years | 61 (42.36%) | 83 (57.64%) | 1 | 1 |
| Unemployed | 14 (30.43) | 32 (69.57%) | 0.35 (0.16, 0.77) | 0.31 (0.09, 1.10) |
| Employed | 41 (55.41%) | 33 (44.59%) | 1 | 1 |
| Merchant | 17 (28.33%) | 43 (71.73%) | 0.31 (0.15, 0.66) | 0.63 (0.21, 1.86) |
| Daily laborer | 12 (27.27%) | 32 (72.73%) | 0.30 (0.13, 0.68) | 0.45 (0.14, 1.49) |
| Farmer | 14 (43.75%) | 18 (56.25%) | 0.62 (0.27, 1.44) | 1.05 (0.26, 4.29) |
| No formal education | 33 (38.82%) | 52 (61.18%) | 1 | |
| Primary (1–8) | 26 (29.89%) | 61 (70.11%) | 0.67 (0.36, 1.27) | 0.60 (0.25, 1.40) |
| Secondary (9–12) | 4 (17.39%) | 19 (82.61%) | 0.33 (0.10, 1.06) | 0.27 (0.06, 1.18) |
| Above secondary | 35 (57.38%) | 26 (42.62%) | 2.12 (1.08, 4.14) | 0.98 (0.29, 3.29) |
| Boiling | 10 (32.26%) | 21 (67.74%) | 0.68 (0.30, 1.53) | 0.66 (0.24, 1.82) |
| Chemicals | 79 (41.15%) | 113 (58.85%) | 1 | 1 |
| Filtration | 9 (27.27%) | 24 (72.73%) | 0.54 (0.24, 1.22) | 0.43 (0.16, 1.18) |
| <60 months | 27 (31.76%) | 58 (68.24%) | 0.66 (0.38, 1.13) | 0.92 (0.46, 1.83) |
| ≥60 months | 71 (41.52%) | 100 (58.48%) | 1 | |
| Stage 1 | 13 (25.49%) | 38 (74.51%) | 0.60 (0.29, 1.23) | 0.63 (0.26, 1.49) |
| Stage 2 | 22 (44.90%) | 27 (55.10%) | 1.43 (0.73, 2.77) | 1.49 (0.64, 3.44) |
| Stage 3 | 48 (36.36%) | 84 (63.64%) | 1 | |
| Stage 4 | 15 (62.50%) | 9 (37.50%) | 2.92 (1.19, 7.17) | 2.15 (0.73, 6.30) |
| Yes | 14 (56.00%) | 11 (44.00%) | 2.23 (0.97, 5.13) | 2.47 (0.88, 6.97) |
| No | 84 (36.36%) | 147 (63.64%) | 1 | |
| Yes | 22 (38.28%) | 51 (69.86%) | 0.61 (0.34, 1.08) | 0.45 (0.21, 0.95)* |
| No | 76 (41.53%) | 107 (58.47%) | 1 | |
| Yes | 95 (37.70%) | 157 (62.30%) | 0.20 (0.02, 1.97) | 0.09 (0.01, 0.98)* |
| No | 3 (75.00%) | 1 (25.00%) | 1 | |
| <4 | 39 (34.21%) | 75 (65.79%) | 0.73 (0.44, 1.22) | 0.64 (0.35, 1.15) |
| ≥4 | 59 (41.55%) | 83 (58.45%) | 1 | |
| Yes | 23 (51.11%) | 22 (48.89%) | 1.90 (0.99, 3.63) | 3.10 (1.39, 6.88)* |
| No | 75 (35.55%) | 136 (64.45%) | 1 | |
Note: *Statistically significant at p-value <0.05.
Abbreviations: ABC, abacavir; AIDS, acquired immunodeficiency syndrome; AOR, adjusted odds ratio; ART, antiretroviral therapy; AZT, zidovudine; COR, crude odds ratio; ETB, Ethiopian birr; HIV, human immunodeficiency virus; NGO, non-government organization; OI, opportunistic infections; ROC, receiver operating characteristics; TDF, tenofovir disoproxil fumarate; WHO, World Health Organization.