Skip to main content

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