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Table 3 Logistic regressions showing predictors of loss to follow-up within 12 months of starting 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) 4.14 1.16 14.76 0.03
Female (ref. male) 2.26 0.63 8.12 0.21
Age (ref. 26–35)
  ≤ 25 2.48 0.46 13.27 0.29
 36–45 2.89 0.70 11.86 0.14
  ≥ 46 2.81 0.66 11.97 0.16
Education (ref. no education)
 Any primary school 0.44 0.13 1.45 0.18
 Any secondary school 0.23 0.05 1.16 0.08
Transportation cost (ref. <$1.00)
 $1.00–$2.49 0.50 0.14 1.80 0.29
  ≥ $2.50 1.21 0.33 4.48 0.78
For every $0.10 increase in transportation cost 1.05 0.44 2.52 0.91
Transportation time (ref ≤60 min)
 61–120 1.17 0.27 4.98 0.84
  > 120 1.08 0.31 3.73 0.90
Food insecurity at M0
 Any food insecurity at M0 1.98 0.54 7.28 0.30
 Severe food insecurity at M0 3.49 1.22 9.96 0.02
Undernourished at M0 0.77 0.26 2.28 0.63
Food expenditure per person < $0.25 6.21 1.61 23.89 0.01
For every $0.10 decrease in food expenditure 1.42 1.05 1.91 0.02
Practice agriculture 1.11 0.34 3.66 0.86
Own livestock 2.02 0.72 5.72 0.18
Had not disclosed HIV status to anyone at M0 2.65 0.66 10.71 0.17
  Multiple regressions
  OR 95% CI p-value
Ziguinchor site (ref. Dakar) 2.94 0.79 10.90 0.11
Severe food insecurity at M0 3.13 1.08 9.06 0.04
  OR 95% CI p-value
Ziguinchor site (ref. Dakar) 4.55 0.52 39.72 0.17
Food expenditure per person < $0.25 4.32 1.07 17.42 0.04
  OR 95% CI p-value
Ziguinchor site (ref. Dakar) 3.09 0.35 26.98 0.31
For every $0.10 decrease in food expenditure 1.36 1.00 1.86 0.05