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. Author manuscript; available in PMC: 2019 May 1.
Published in final edited form as: AIDS Care. 2017 Dec 28;30(5):586–590. doi: 10.1080/09540121.2017.1420137

Table 5.

Logistic regression analysis of the association between NACS implementation score/NACS status and odds of being overweight/obese.

Outcome: Odds of being overweight/obese (BMI > 24.9 kg/m2)
aOR (95% CI)a aOR (95% CI)a
NACS implementation score 0.90 (0.45, 1.80) NACS status (Yes vs No) 0.26 (0.05, 1.24)
Age (in years) 1.06 (1.01, 1.12) Age (in years) 1.06 1.01, 1.12)
Time since HIV diagnosis (in years) 1.06 (0.94, 1.20) Time since HIV diagnosis (in years) 1.06 (0.94, 1.20)
Sex (female vs male) 1.87 (0.54, 6.53) Sex (female vs male) 1.87 (0.54, 6.52)
Monthly incomeb (Low vs High) 0.31 (0.12, 0.82) Monthly income2 (Low vs High) 0.31 (0.12, 0.82)
Clinic 1 vs 6 0.80 (0.25, 2.58) Clinic 1 vs 6 2.80 (0.57, 13.8)
Clinic 2 vs 6 4.49 (0.13, 17.73) Clinic 2 vs 6 1.57 (0.28, 8.91)
Clinic 3 vs 6 0.19 (0.01, 4.27) Clinic 3 vs 6 0.81 (0.20, 3.22)
Clinic 4 vs 6 0.70 (0.11, 4.62) Clinic 4 vs 6 0.78 (0.18, 3.35)
C-statistic=0.78c
Hosmer & Lemeshow Goodness-of-Fit Test: chi-square=10.89, df=8 p=0.21

NACS, Nutrition Assessment Counseling and Support; OR, Odds Ratio.

a

Adjusted for NACS implementation score or NACS status, age, time from HIV diagnosis, sex and monthly income.

b

Low (0–299 GH Cedis) High (>300 GH Cedis).

c

C-statistic and Hosmer & Lemeshow Goodness-of-Fit Test for both models

*

No estimate produced for clinic 5 because it was set to 0, since it was a linear combination of other clinic variables