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Table 4 Logistic regressions showing predictors of virologic failure following 12 months of ART among HIV-infected individuals in Senegal

From: The impact of food insecurity on HIV outcomes in Senegal, West Africa: a prospective longitudinal study

  Simple regressions
OR 95% CI p-value
Ziguinchor site (ref. Dakar) 2.67 0.89 7.99 0.08
Female (ref. male) 0.60 0.20 1.82 0.36
Age (ref. 26–35)
  ≤ 25 2.05 0.39 10.64 0.40
 36–45 0.23 0.02 2.15 0.20
  ≥ 46 3.50 0.88 13.86 0.07
Education (ref. no education)
 Any primary school 0.68 0.15 3.01 0.61
 Any secondary school 1.14 0.27 4.83 0.86
Unemployed 1.07 0.21 5.34 0.94
Transportation cost (ref. <$1.00)
 $1.00–$2.49 0.92 0.27 3.12 0.90
  ≥ $2.50 0.92 0.20 4.11 0.91
For every $0.10 increase in transportation cost 1.24 0.59 2.59 0.57
Transportation time (ref ≤60 min)
 61–120 0.20 0.02 1.74 0.15
  > 120 0.41 0.13 1.35 0.14
Any food insecurity at M0 1.86 0.49 7.05 0.36
Severe food insecurity (ref. Not severe at M0)
 Severe at M0 2.14 0.38 12.16 0.39
 Severe at M0 and M6 2.86 0.26 31.33 0.39
 Severe at M0, M6, and M12 5.14 1.01 26.29 0.049
Nutritional status
 Undernourished at M0 3.39 1.13 10.21 0.03
 Undernourished at M6 7.41 1.99 27.59 < 0.01
 Undernourished at M12 4.14 1.13 15.11 0.03
Food expenditure per person < $0.25 1.36 0.26 7.21 0.72
For every $0.10 decrease in food expenditure 1.05 0.95 1.17 0.32
Practice agriculture 4.29 1.41 13.07 0.01
Own livestock 1.53 0.53 4.44 0.44
Had not disclosed HIV status to anyone at M0 0.48 0.12 1.91 0.30
Had not disclosed HIV status to anyone at M12 0.92 0.28 2.99 0.89