Clinical Study

Older Adults Accessing HIV Care and Treatment and Adherence in the IeDEA Central Africa Cohort

Table 2

Adjusted1 odds ratios and 95% confidence intervals for the association of medication adherence2 and age.

VariableMedication adherence
Odds ratio
95% confidence intervalP value

Main effect variable
Age
 18–49 yearsRef<0.001
 50+ years1.59*(1.21, 2.09)

Covariates
Country
 DRCRef<0.001
 Burundi2.23*(1.57, 3.15)
 Cameroon1.98*(1.60, 2.46)

Marital status
 SingleRef0.848
 Divorced1.05(0.76, 1.46)
 Widowed1.11(0.85, 1.44)
 Married/living together
 (includes monogamous and
 polygamous marriage)
1.09(0.88, 1.36)

Sex
 FemaleRef0.569
 Male0.95(0.78, 1.15)

Employment status
 No paid employmentRef0.813
 Paid employment1.02(0.86, 1.22)

Heavy drinking
 YesRef<0.001
 No1.40*(1.15, 1.70)

Education level
 Secondary/UniversityRef0.216
 Primary0.94(0.79, 1.12)
 No formal education0.72(0.50, 1.05)

Clinical stage (WHO) at enrollment into IeDEA database
 I/IIRef0.774
 III/IV0.97(0.82, 1.17)

Length of time on ARVs
 <6 monthsRef<0.001
 6–24 months0.69*(0.53, 0.89)
 >24 months1.12(0.87, 1.45)
 Not on ARVs2.05*(1.51, 2.78)

* .
1Adjusted for country, marital status, gender, employment status, heavy drinking, education, clinical stage at enrollment into IeDEA database, and length of time on ARVs.
2Nonadherence was defined as missed doses of ART or other HIV-related medications (most commonly cotrimoxazole prophylaxis and, to a lesser extent, TB prophylaxis and TB treatment) for two or more consecutive days in the past 30 days.