Food insecurity is a risk factor for both HIV transmission and worse HIV clinical outcomes. We examined the prevalence of and factors associated with food insecurity among homeless and marginally housed HIV-infected individuals in San Francisco recruited from the Research on Access to Care in the Homeless Cohort. We used multiple logistic regression to determine socio-demographic and behavioral factors associated with food insecurity, which was measured using the Household Food Insecurity Access Scale. Among 250 participants, over half (53.6%) were food insecure. Higher odds of food insecurity was associated with being white, low CD4 counts, recent crack use, lack of health insurance, and worse physical and mental health. Food insecurity is highly prevalent among HIV-infected marginally housed individuals in San Francisco, and is associated with poor physical and mental health and poor social functioning. Screening for and addressing food insecurity should be a critical component of HIV prevention and treatment programs.

Food insecurity is a risk factor for both HIV transmission and worse HIV clinical outcomes. We examined the prevalence of and factors associated with food insecurity among homeless and marginally housed HIV-infected individuals in San Francisco recruited from the Research on Access to Care in the Homeless Cohort. We used multiple logistic regression to determine socio-demographic and behavioral factors associated with food insecurity, which was measured using the Household Food Insecurity Access Scale. Among 250 participants, over half (53.6%) were food insecure. Higher odds of food insecurity was associated with being white, low CD4 counts, recent crack use, lack of health insurance, and worse physical and mental health. Food insecurity is highly prevalent among HIV-infected marginally housed individuals in San Francisco, and is associated with poor physical and mental health and poor social functioning. Screening for and addressing food insecurity should be a critical component of HIV prevention and treatment programs.

Context

Depression strongly predicts nonadherence to human immunodeficiency virus (HIV) antiretroviral therapy, and adherence is essential to maintaining viral suppression. This suggests that pharmacologic treatment of depression may improve virologic outcomes. However, previous longitudinal observational analyses have inadequately adjusted for time-varying confounding by depression severity, which could yield biased estimates of treatment effect. Application of marginal structural modeling to longitudinal observation data can, under certain assumptions, approximate the findings of a randomized controlled trial.

Objective

To determine whether antidepressant medication treatment increases the probability of HIV viral suppression.

Design

Community-based prospective cohort study with assessments conducted every 3 months.

Setting

Community-based research field site in San Francisco, California.

Participants

One hundred fifty-eight homeless and marginally housed persons with HIV who met baseline immunologic (CD4+ T-lymphocyte count, <350/μL) and psychiatric (Beck Depression Inventory II score, >13) inclusion criteria, observed from April 2002 through August 2007.

Main outcome measures

Probability of achieving viral suppression to less than 50 copies/mL. Secondary outcomes of interest were probability of being on an antiretroviral therapy regimen, 7-day self-reported percentage adherence to antiretroviral therapy, and probability of reporting complete (100%) adherence.

Results

Marginal structural models estimated a 2.03 greater odds of achieving viral suppression (95% confidence interval [CI], 1.15-3.58; P = .02) resulting from antidepressant medication treatment. In addition, antidepressant medication use increased the probability of antiretroviral uptake (weighted odds ratio, 3.87; 95% CI, 1.98-7.58; P < .001). Self-reported adherence to antiretroviral therapy increased by 25 percentage points (95% CI, 14-36; P < .001), and the odds of reporting complete adherence nearly doubled (weighted odds ratio, 1.94; 95% CI, 1.20-3.13; P = .006).

Conclusions

Antidepressant medication treatment increases viral suppression among persons with HIV. This effect is likely attributable to improved adherence to a continuum of HIV care, including increased uptake and adherence to antiretroviral therapy.

We conducted a study to assess the effect of family-based treatment on adherence amongst HIV-infected parents and their HIV-infected children attending the Mother-To-Child-Transmission Plus program in Kampala, Uganda. Adherence was assessed using home-based pill counts and self-report. Mean adherence was over 94%. Depression was associated with incomplete adherence on multivariable analysis. Adherence declined over time. Qualitative interviews revealed lack of transportation money, stigma, clinical response to therapy, drug packaging, and cost of therapy may impact adherence. Our results indicate that providing ART to all eligible HIV-infected members in a household is associated with excellent adherence in both parents and children. Adherence to ART among new parents declines over time, even when patients receive treatment at no cost. Depression should be addressed as a potential barrier to adherence. Further study is necessary to assess the long-term impact of this family treatment model on adherence to ART in resource-limited settings.

Introduction

Food insecurity is a potentially important barrier to the success of antiretroviral therapy (ART) programs in resource-limited settings. We undertook a longitudinal study in rural Uganda to estimate the associations between food insecurity and HIV treatment outcomes.

Design

Longitudinal cohort study.

Methods

Participants were from the Uganda AIDS Rural Treatment Outcomes study and were followed quarterly for blood draws and structured interviews. We measured food insecurity with the validated Household Food Insecurity Access Scale. Our primary outcomes were: ART nonadherence (adherence <90%) measured by visual analog scale; incomplete viral load suppression (>400 copies/ml); and low CD4 T-cell count (<350 cells/μl). We used generalized estimating equations to estimate the associations, adjusting for socio-demographic and clinical variables.

Results

We followed 438 participants for a median of 33 months; 78.5% were food insecure at baseline. In adjusted analyses, food insecurity was associated with higher odds of ART nonadherence [adjusted odds ratio (AOR) 1.56, 95% confidence interval (CI) 1.10-2.20, P < 0.05], incomplete viral suppression (AOR 1.52, 95% CI 1.18-1.96, P < 0.01), and CD4 T-cell count less than 350 (AOR 1.47, 95% CI 1.24-1.74, P < 0.01). Adding adherence as a covariate to the latter two models removed the association between food insecurity and viral suppression, but not between food insecurity and CD4 T-cell count.

Conclusions

Food insecurity is longitudinally associated with poor HIV outcomes in rural Uganda. Intervention research is needed to determine the extent to which improved food security is causally related to improved HIV outcomes and to identify the most effective policies and programs to improve food security and health.

Introduction

Food insecurity is a potentially important barrier to the success of antiretroviral therapy (ART) programs in resource-limited settings. We undertook a longitudinal study in rural Uganda to estimate the associations between food insecurity and HIV treatment outcomes.

Design

Longitudinal cohort study.

Methods

Participants were from the Uganda AIDS Rural Treatment Outcomes study and were followed quarterly for blood draws and structured interviews. We measured food insecurity with the validated Household Food Insecurity Access Scale. Our primary outcomes were: ART nonadherence (adherence <90%) measured by visual analog scale; incomplete viral load suppression (>400 copies/ml); and low CD4 T-cell count (<350 cells/μl). We used generalized estimating equations to estimate the associations, adjusting for socio-demographic and clinical variables.

Results

We followed 438 participants for a median of 33 months; 78.5% were food insecure at baseline. In adjusted analyses, food insecurity was associated with higher odds of ART nonadherence [adjusted odds ratio (AOR) 1.56, 95% confidence interval (CI) 1.10-2.20, P < 0.05], incomplete viral suppression (AOR 1.52, 95% CI 1.18-1.96, P < 0.01), and CD4 T-cell count less than 350 (AOR 1.47, 95% CI 1.24-1.74, P < 0.01). Adding adherence as a covariate to the latter two models removed the association between food insecurity and viral suppression, but not between food insecurity and CD4 T-cell count.

Conclusions

Food insecurity is longitudinally associated with poor HIV outcomes in rural Uganda. Intervention research is needed to determine the extent to which improved food security is causally related to improved HIV outcomes and to identify the most effective policies and programs to improve food security and health.