Table 3 Summary of factors associated with under-nutrition among HIV infected children in Sub-Saharan Africa, 2021
Types of Under-nutrition | Variables | Number of studies | Studies includes the analysis | Odds ratio with 95%CI | Heterogeneity | |
|---|---|---|---|---|---|---|
(I2) | P- value | |||||
Stunting | WHO HIV/AIDS clinical staging | 3 | Haileselassie, B et al., 2019 Sunguya et al., 2011 Bruno F. Sunguya et al., 2014 | 6.74 (1.75, 26.02), | 94.7% | P < 0.01 |
Household food insecurity | 4 | Haileselassie, B et al.,2019 Sunguya et al., 2011 Bruno F. Sunguya et al., 2011 Sunguya et al., 2012 | 5.92 (3.9, 8.87) | 55.7% | P = 0.079 | |
Under-weight | low family income | 4 | Kusum Lata et.al, 2020 Megabiaw et.al, 2012 Sunguya et al., 2012 Asiya et.al, 2018 | 4.74(2.6, 8.61) | 31.2% | P = 0.225 |
Feeding frequency | 3 | Kusum Lata et.al, 2020 Sunguya et al., 2011 Bruno F. Sunguya et al., 2014 | 0.32 (0.17, 0.6) | 69.8% | P = 0.037 | |
Wasting | Diarrhoea | 3 | Kusum Lata et.al, 2020 Sunguya et al. 2011 Haileselassie, B et al., 2019 | 4.12 (2.88, 5.89) | 0.0% | P = 0.386 |
Anemia | 3 | Haileselassie, B et al., 2019 R. S. MWIRU ET AL 2014 Julie Jesson. Et al 2017 | 2.86 (1.64, 5.0) | 74.8% | P = 0.019 | |