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Table 2 Background, socio-demographic, and clinical correlates of nutrient supplement use, food elimination and substitution

From: Food elimination, food substitution, and nutrient supplementation among ARV-exposed HIV-positive persons in southern Ghana

Attribute Nutrient supplement use Model 1 Eliminated certain foods due to HIV diagnosis Model 2 Introduced new/substituted foods due to HIV diagnosis Model 3
AOR 95% CI AOR 95% CI AOR 95% CI
LB UB LB UB LB UB
ART site
 Atua ART clinic 0.26 0.06 0.61 0.38 0.11 0.95 0.20 0.03 1.20
 St Martins de Porres Hospital 0.20 0.05 0.87 0.37 0.10 0.74 0.11 0.02 0.69
 Tema General Hospital 8.99 2.37 34.17 0.99 0.17 5.78 0.16 0.02 1.35
 Korle Bu Fevers Unit 1.00    1.00    1.00   
Sex of respondent
 Male 0.39 0.03 4.57 1.83 0.12 28.44 10.23 0.95 71.69
 Female 1.00    1.00    1.00   
Place of residence
 Urban 2.37 0.71 7.91 0.55 0.22 1.41 0.76 0.24 2.48
 Rural 1.00    1.00    1.00   
Respondent’s level of education
 No formal education 1.49 0.16 14.20 0.29 0.03 0.92 0.40 0.04 4.17
 Primary 1.02 0.11 9.22 0.20 0.02 1.70 0.67 0.07 6.35
 JHS 1.52 0.17 13.73 0.21 0.02 1.85 0.50 0.05 4.86
 SHS/vocational 0.82 0.07 9.22 0.16 0.02 1.58 0.68 0.06 7.65
 Post secondary/tertiary 1.00    1.00    1.00   
Does respondent have an adherence monitor
 Yes 0.34 0.12 0.95 1.09 0.36 3.25 0.65 0.16 2.66
 No 1.00    1.00    1.00   
Physiologic state of female respondent
 Pregnant/lactating 1.51 0.67 3.41 1.49 0.77 2.85 1.38 0.68 2.80
 Not pregnant 1.00    1.00    1.00   
Age categories
 < 35 0.85 0.41 1.78 1.17 0.58 2.33 1.22 0.52 2.85
 ≥ 35 1.00    1.00    1.00   
BMI
 Underweight 1.24 0.42 3.70 1.33 0.49 3.56 1.85 0.58 5.87
 Not underweight 1.00    1.00    1.00   
CD4+ cell count
 CD4+ cell count < 350 1.08 0.54 2.17 0.83 0.44 1.54 1.12 0.54 2.33
 CD4+ cell count ≥ 350 1.00    1.00    1.00   
Anemia status
 Normal/Hb ≥ 11.0 g/dl 0.75 0.36 1.56 0.89 0.47 1.67 0.47 0.21 0.85
 Anemic < 11.0 g/dl 1.00    1.00    1.00   
  1. Abbreviations: AOR, adjust odds ratios with accompanying 95% confidence intervals were determined using multiple logistic regression (all variables in this table were included in the model)
  2. Nutrient supplement use model: Model summary Cox and Snell R2 (0.176), Nagelkerke R2(0.264), −2 Log likelihood 220.832 (estimation terminated at iteration number 20 because maximum iterations have been reached)
  3. Food elimination model: Model summary Cox and Snell R2 (0.125), Nagelkerke R2 (0.180), −2 Log likelihood 264.135 (estimation terminated at iteration number 20 because maximum iterations have been reached)
  4. Model for food substitution: Model summary Cox and Snell R2 (0.109), Nagelkerke R2 (0. 176), −2 Log likelihood 198.231 (estimation terminated at iteration number 6 because parameter estimates changed by less than 0.001)