Little is known about the potential impact of food insecurity on mortality among people living with HIV/AIDS. We examined the potential relationship between food insecurity and all-cause mortality among HIV-positive injection drug users (IDU) initiating antiretroviral therapy (ART) across British Columbia (BC).
Cross-sectional measurement of food security status was taken at participant ART initiation. Participants were prospectively followed from June 1998 to September 2011 within the fully subsidized ART program. Cox proportional hazard models were used to ascertain the association between food insecurity and mortality, controlling for potential confounders.
Among 254 IDU, 181 (71.3%) were food insecure and 108 (42.5%) were hungry. After 13.3 years of median follow-up, 105 (41.3%) participants died. In multivariate analyses, food insecurity remained significantly associated with mortality (adjusted hazard ratio [AHR] = 1.95, 95% CI: 1.07–3.53), after adjusting for potential confounders.
HIV-positive IDU reporting food insecurity were almost twice as likely to die, compared to food secure IDU. Further research is required to understand how and why food insecurity is associated with excess mortality in this population. Public health organizations should evaluate the possible role of food supplementation and socio-structural supports for IDU within harm reduction and HIV treatment programs.
Citation: Anema A, Chan K, Chen Y, Weiser S, Montaner JSG, Hogg RS (2013) Relationship between Food Insecurity and Mortality among HIV-Positive Injection Drug Users Receiving Antiretroviral Therapy in British Columbia, Canada. PLoS ONE8(5): e61277. https://doi.org/10.1371/journal.pone.0061277
Editor: C. Mary Schooling, CUNY, United States of America
Received: September 19, 2012; Accepted: March 11, 2013; Published: May 27, 2013
Copyright: © 2013 Anema et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: Dr. Aranka Anema is supported by the Canadian Institutes of Health Research (CIHR) Vanier Award for doctoral research. Dr. Sheri D. Weiser is supported by a National Institutes of Health (NIH) grant (R01 MH095683-01) and the Burke Family Foundation. Dr. Julio Montaner is supported by the British Columbia Ministry of Health; through an Avant-Garde Award (No. 1DP1DA026182) from the National Institute of Drug Abuse (NIDA), at the NIH; and through a KT Award from CIHR. He has also received financial support from the International AIDS Society, United Nations AIDS Program, World Health Organization, NIH Research-Office of AIDS Research, National Institute of Allergy & Infectious Diseases, The United States President's Emergency Plan for AIDS Relief (PEPfAR), UNICEF, the University of British Columbia, Simon Fraser University, Providence Health Care and Vancouver Coastal Health Authority. He has received grants from Abbott, Biolytical, Boehringer-Ingelheim, Bristol-Myers Squibb, Gilead Sciences, Janssen, Merck and ViiV Healthcare. Dr. Robert S. Hogg has held grant funding in the last five years from the NIH, CIHR, Health Canada, Merck, and Social Sciences and Humanities Research Council of Canada (SSHRC). He has also received funding from Agouron Pharmaceuticals Inc, Boehringer Ingelheim Pharmaceuticals Inc, Bristol-Myers Squibb, GlaxoSmithKline, and Merck Frosst Laboratories for participating in continued medical education programmes. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: Julio S. G. Montaner has received educational grants from, served as an ad hoc adviser to or spoken at various events sponsored by Abbott Laboratories, Agouron Pharmaceuticals Inc., Boehringer Ingelheim Pharmaceuticals Inc., Borean Pharma AS, Bristol-Myers Squibb, DuPont Pharma, Gilead Sciences, GlaxoSmithKline, Hoffmann-La Roche, Immune Response Corporation, Incyte, Janssen-Ortho Inc., Kucera Pharmaceutical Company, Merck Frosst Laboratories, Pfizer Canada Inc., Sanofi Pasteur, Shire Biochem Inc., Tibotec Pharmaceuticals Ltd. and Trimeris Inc. There are no patents, products in development or marketed products to declare. This does not alter the authors′ adherence to all the PLOS ONE policies on sharing data and materials.
Despite the tremendous benefits of antiretroviral therapy (ART) use on HIV disease progression and survival , , micro- and macronutrient malnutrition remain strong independent predictors of mortality among HIV-positive individuals in both high and low resource settings , , , , , , , , , , . A growing body of evidence suggests that socio-economic determinants may also adversely impact survival among people living with HIV/AIDS , . More recently, our study team found that among HIV-positive individuals receiving ART in Canada, being food insecure and underweight was independently associated with a 1.94 increased risk of non-accidental death, compared to being food secure and of normal weight . Poor dietary diversity, a component of food insecurity, has been associated with mortality among ART-naïve individuals in Uganda . These studies suggest that food insecurity warrants prioritization by public health programs and policies for HIV-infected populations.
Illicit drug use is a well-known risk factor for food insecurity and poor nutritional status. Drug addiction alters dietary consumption patterns, leading individuals to eat fewer meals , to often skip meals for an entire day , and to rely on food distribution services for subsistence . Studies have found that the diets of illicit drug users tend to be calorically insufficient and poor in quality , resulting in diverse micro- and macronutrient deficiencies , , , , . Food insecurity is theorized to be linked to adverse HIV outcomes through distinct nutritional, mental health and behavioral pathways . Studies in urban HIV-positive populations receiving HIV treatment, including a high proportion of illicit drug users, have found that food insecurity is associated with HIV-related wasting , virologic non-suppression ,  and poor immunologic response to ART , , .
To our knowledge, no studies have examined whether food insecurity increases risk of excess death in this population. This study therefore aimed to assess the potential relationship between food insecurity and all-cause mortality among HIV-positive injection drug users (IDU) initiating ART across BC. In light of previous findings regarding the relationship between food insecurity and mortality in the general HIV-population in this setting , and theorized nutritional mechanisms linking these , this study hypothesized that food insecurity is independently associated with all-cause mortality.
Study Sample: HIV/AIDS Drug Treatment Program (DTP)
Survey data for this analysis were obtained from the provincial HIV/AIDS Drug Treatment Program (DTP) administrative database. In BC, antiretrovirals have been distributed free of charge to HIV-positive individuals since 1986, and coordinated centrally since 1992 by the British Columbia Centre for Excellence in HIV/AIDS (BC-CfE) HIV/AIDS DTP, located at St. Paul's Hospital in Vancouver. Details of the HIV/AIDS DTP have been described elsewhere . In brief, clinical eligibility for receipt of ART in BC is based on guidelines generated by the BC-CfE Therapeutic Guidelines Committee, and have remained consistent with current recommendations by the International AIDS Society – USA since 1996 . Currently, the most frequently prescribed initial triple combination ART regimens in BC consist of a nucleoside reverse transcriptase inhibitor (NRTI) and a nucleotide reverse transcriptase inhibitor or two NRTIs as a backbone, plus either i) a non-nucleoside reverse transcriptase inhibitor (NNRTI), or ii) a protease inhibitor boosted with ritonavir (boosted PI) .
Prescribing physicians must complete a drug request form, which acts as a legal prescription, to enroll an eligible individual on ART. HIV/AIDS DTP enrollment forms elicit information about patient socio-demographics, HIV-specific drug history, CD4 cell counts, plasma HIV RNA levels, current drug prescription, and the enrolling physician. Prospective clinical, virologic, immunologic and drug-regimen data are collected on a quarterly basis. Epidemiological studies performed on DTP data form the basis of ongoing revisions to the BC-CfE's province-wide HIV treatment guidelines . Patients provide voluntary written informed consent for the BC-CfE to access electronic medical records for research purposes. Ethical approval for these analyses has been provided by the Providence Health Care/University of British Columbia Research Ethics Board.
The primary outcome variable of interest was all-cause mortality. This outcome includes individuals who died due to HIV/AIDS-related and non-related causes, including co-morbidities, injuries, accidents, trauma, assaults, drug overdose and suicide. Mortality data was collected on an ongoing basis through physician reports. This data was confirmed through electronic linkage to the British Columbia Division of Vital Statistics registry, which has been shown to capture upwards of 96% of all deaths in the province . Study participants and individuals lost to follow-up were censored on Sept 30, 2011.
Primary explanatory variable.
The primary explanatory variable of interest was food insecurity, captured cross-sectionally at baseline in 1998/1999 as part of the DTP enrollment form for participants newly initiating ART. Food insecurity was measured using an abbreviated version of the Radimer/Cornell scale. The Radimer/Cornell scale assumes that food insecurity comprises four distinct components that are experienced distinctly at household and individual levels. The scale poses questions regarding food depletion and intake (quantitative component), suitability and adequacy of food (qualitative component), feelings of anxiety and deprivation associated with food (psychological component), and patterns of food acquisition and eating (social component) , , and has been extensively validated in North America , . Since the Radimer/Cornell scale was published in 1990, operational definitions and measurements of food insecurity have continued to evolve , . The Radimer/Cornell scale understood ‘hunger’ to be a quantitative component of food insecurity, experienced purely at the individual level , , and defined as an “inability to acquire or consume an adequate quality or sufficient quantity of food in socially acceptable ways, or the uncertainty that one will be able to do so” . A 2006 review of food insecurity and hunger measures by an expert panel for the United Sates Department of Agriculture (USDA) concluded that hunger should be considered an “indicator and possible consequence of food insecurity,” and be measured “distinct from, but in the context of, food insecurity” . Conceptual research in the field of HIV/AIDS further emphasizes the need for multi-dimensional indicators to capture different dimensions (utilization, access, availability, stability) of food insecurity, and for stand-alone indicators to measure sub-components of food insecurity (quantity, quality, safety). Reconsideration of how food insecurity is measured is required to capture the complex experiences of food insecurity among people living with HIV/AIDS, to generate ‘actionable’ findings for public health programs and policies .
The analytic approach to measuring food insecurity and hunger in this study diverged from Radimer/Cornell's and USDA's published methodologies , . Participants were categorized as experiencing household food insecurity if they gave a minimum of one positive answer (often/sometimes) to any one of the eight items measuring household food insecurity, which provided a conservative estimate of food insecurity. In the absence of a validated single-question measure of hunger to ascertain food insufficiency at the individual level , , and in light of public health policy and program requests in our setting to understand what sub-component (quantity, quality, safety) of food insecurity may be driving associations between food insecurity and adverse health outcomes, we extracted and analyzed hunger at the individual level, defined as responding ‘often/sometimes’ to the question: “I am often hungry, but don't eat because I can't afford enough food” , .
Secondary explanatory variables.
Secondary explanatory variables hypothesized to confound the relationship between food insecurity and mortality were selected based on findings from previous literature, including a previous study examining the impacts of food insecurity on mortality among HIV-positive individuals in this setting . Socio-demographic variables included: age at ART start date (continuous); gender (male vs. female); Aboriginal ancestry (yes vs. no); annual income (>CAD$15,000 vs. ≤CAD$15,000), with a dichotomous split based on Canada Revenue Agency's low income threshold ; education (>high school vs. ≤high school graduation); and unstable housing (yes vs. no), defined as living in a hotel, boarding house, group home, jail, on the street, or having no fixed address at the time of the survey. Clinical variables considered in this analysis included nutritional status, measured by physician and self-reported body mass index (BMI) (kg/m2) and calculated using the formula: weight/(height)2. Cut-offs for underweight status were based on current WHO standards for HIV-positive individuals, defined as <18.5 kg/m2 (underweight) vs. ≥18.5 kg/m2 (not underweight) . BMI reflects lean body mass and fat mass, has been shown to detect malnutrition at an earlier stage than other anthropometric measures, and is considered a sensitive screening tool for malnutrition among people living with HIV/AIDS . Other clinical variables included use of triple combination highly active antiretroviral therapy (HAART) (yes vs. no); PI-based regimen (yes vs. no); AIDS diagnosis (yes vs. no), defined according to CDC classification ; plasma HIV RNA viral load (per log10 copies/mL), measured at most recent date prior to survey; CD4 cell counts (per 100 cells/µL), recorded at most recent date prior to survey using flow cytometry and fluorescent monoclonal antibody analysis (Beckman Coulter, Inc., Mississauga, Ontario, Canada); and finally ART adherence, measured on the basis of prescription refill compliance , defined as the number of days ART was dispensed over the number of days an individual was eligible for ART in the past 12 months (≥95% vs. <95%), at most recent date prior to survey. This adherence variable has shown to reliably predict survival among IDU in previous studies , . All potential explanatory variables were collected at baseline in 1998/1999 from the HIV/AIDS DTP enrollment survey, except where indicated above.
As a first step, bivariate analyses were performed on the entire study sample at baseline, stratified by food insecurity, hunger and all-cause mortality, respectively. Pearson's Chi-Square tests were used to compare categorical variables. In instances where counts were small (five or less), the Fisher's Exact Test was used. Continuous variables were compared using Wilcoxon Rank Sum Test. Next, two Cox proportional hazard confounder models were constructed to determine the association between food insecurity/hunger and all-cause mortality, controlling for potential confounders. A multivariate model was built using an adaptation of methods described by Greenland and colleagues , . This manual backward stepwise approach involved first fitting a full model, including all explanatory variables, and noting the value of the coefficient associated with food insecurity/hunger. Reduced models were then constructed, each removing one secondary explanatory variable from the full set. Comparing the value of the coefficient for food insecurity in the full model and each of the reduced models, secondary variables were removed corresponding to the smallest relative change in the coefficient for food insecurity. This iterative process continued until the maximum change of the value for food insecurity from the full model exceeded 5%. The intent of this model building strategy was to retain secondary variables in the final multivariate model with greater relative influence on the relationship between food insecurity and mortality. This technique has been previously applied in studies of HIV-positive individuals to estimate the independent relationship between a hypothesized predictor variable and clinical outcome , . As a sub-analysis, this process was repeated to examine the relationship between hunger and mortality. Ad hoc tests to assess potential cohort effects on survival were not deemed necessary since participants were all recruited after the introduction of ART, which led to a homogenous trend in reductions of HIV-related mortality over time . All statistical analyses were completed using R v2.10.1 (R Foundation, Vienna, Austria).
Baseline characteristics of IDU enrolled in the BC-wide HIV/AIDS DTP in years 1998/1999, stratified by food security status, are show in Table 1. A total of 254 individuals enrolled at baseline, responded to the food security scale question in the survey, and had consistent follow-up during the years under study. Of this analytic sample, 181 (71.26%) reported being food insecure, and 108 (42.5%) were hungry; the median age was 38.0 years [interquartile range [IQR]: 34.0–43.0]; 211 (83.07%) were male; 58 (22.9%) reported Aboriginal ancestry; and 219 (96.9%) had a BMI above 18.5 kg/m2. The median CD4 cell count was 380.0 per 100 cells/µL (IQR: 220.0–510.0); the median viral load was 2.6 log10 copies/mL (IQR: 2.6–3.7); 63 (24.8%) were diagnosed with AIDS; and 123 (48.4%) were ≥95% adherent to ART in the 12 months preceding enrollment. During the study period (between June 21, 1998 and Sept 30, 2011), a total of 105 (41.34%) individuals died. Bivariate comparison of participant characteristics by food security status revealed that individuals with lower incomes, receiving a protease inhibitor (PI)-based regimen, and initiating ART at a later year, were all significantly more likely to be food insecure (p<0.05). Median follow-up time was 140.61 months (IQR: 59.63–151.20), and median survival time was 61.04 (IQR: 31.11–83.02). A total of 87 (48.1%) individuals who reported being food insecure died over the study period, compared to 18 (24.7%) individuals who reported being food secure (p = 0.001). A total of 54 (51.4%) individuals reporting hunger died, compared to 54 (36.2%) reporting no hunger (p = 0.022). Product limit survival estimates revealed that the death rate of the 254 IDU who answered the food security and hunger questions on the baseline survey did not differ from other IDU initiating ART during the same time period.
Unadjusted and adjusted analyses of factors associated with mortality among IDU are presented in Table 2. In unadjusted analyses (Column 1), participants who were food insecure were more than twice as likely to die, compared to individuals who were food secure (hazard ratio [HR] = 2.41, 95% Confidence Interval [CI]: 1.45–4.01). Participants who were hungry were almost twice as likely to die (HR = 1.78, 95% CI: 1.21–2.61) compared to individuals with no hunger. Other factors significantly associated with all-cause mortality included Aboriginal ancestry, low income, <95% adherence to ART, lower median CD4 cell count and higher median plasma HIV RNA. In adjusted analyses, controlling for potential confounders, food insecurity remained significantly associated with all-cause mortality (adjusted hazard ratio [AHR] = 1.95, 95% CI: 1.07–3.53) (Column 2), and hunger was no longer significant (AHR = 1.05, 95% CI: 0.65–1.70) (Column 3). Additional factors associated with increased likelihood of death in the model examining food insecurity included having an annual income >$15,000, Aboriginal ancestry, and a higher median viral load. In the model exploring hunger, additional characteristics associated with higher risk of mortality included older age, annual income >$15,000 and a higher median viral load.
Adjusted Kaplan-Meir survival probabilities for IDU in this BC-wide cohort, stratified by food insecurity and hunger status, are presented in Figures 1 and 2, respectively. Consistent with findings from the multivariate analyses, individuals reporting food insecurity had significantly reduced probability of survival, compared to individuals who were food secure; and individual reporting hunger did not have lower probability of survival compared to individuals reporting no hunger.
This study builds on our existing body of research regarding the relationship between food insecurity and mortality among people living with HIV/AIDS . This study is the first to examine the potential impact of food insecurity and hunger on mortality among HIV-positive IDU. Mortality rates were elevated in this sample of HIV-positive IDU. After 13.3 years of follow-up, individuals who reported being food insecure at baseline were almost twice as likely to die, when controlling for potential confounders. Hunger was associated with increased risk of death in univariate analysis, but the association was no longer significant after controlling for potential confounders in the adjusted analyses. Our results suggest that addressing food insecurity, in addition to other known social and structural barriers to ART adherence and virologic suppression among illicit drug users , , such as incarceration , homelessness , and gender-related factors , may be of paramount public health importance.
The finding that food insecurity, and not hunger, was significantly associated with all-cause mortality suggests that other aspects of food insecurity, measured within the Radimer/Cornell scale, may be driving this association, including poor dietary diversity and/or anxiety regarding food access. Food insecurity is theorized to be linked to adverse HIV-related outcomes through diverse nutritional, mental health and behavioral pathways . Macro- and micronutrient deficiencies, which represent an extreme consequence of, and surrogate markers for, poor dietary diversity, have been associated with mortality among HIV-positive individuals in the ART era. Compared to non-IDU, active IDU may be at increased risk of developing nutrient deficiencies due to metabolic abnormalities and nutrient interactions associated with drug use . Low albumin and phosphate levels have been associated with early mortality among malnourished individuals initiating ART , . Deficiencies in zinc, Vitamin A, iron and B12 have also been associated with increased risk of HIV-related mortality in illicit drug-using populations , , , . In particular, selenium deficiency is associated with a 20-fold increase in risk of mortality among HIV-positive IDU . Findings from the current study, taken together with existing evidence regarding the relationship between nutrient deficiencies and mortality among HIV-positive IDU populations, suggest an urgent need for public health bodies to evaluate the possible role of screening for malnutrition and food supplementation to prevent excess mortality among IDU receiving ART in this setting.
The observed association between food insecurity and all-cause mortality in this sample of IDU receiving ART may also be explained by mental health mechanisms. Two questions on the Radimer/Cornell scale pertain specifically to feelings of anxiety regarding food access: “I worry whether my food will run out before I get money to buy more” and “I worry about whether the food that I can afford to buy for my household will be enough.” Obsessive or chronic worrying is recognized as a symptom of generalized anxiety disorder within the DSM-V . Mental health disorders, including anxiety and depression, are commonly reported among HIV-positive populations, and believed to increase risk of mortality through both behavioral and biologic mechanisms. Symptoms of depression have been associated with poor virologic response , , , reduced immunologic capacity , and AIDS and non-AIDS related death among individuals on ART , , , , . Feelings of guilt, fear and discrimination have been associated with delayed access to HIV treatment and care , and non-adherence to ART , , . A recent study of 9,003 HIV-positive individuals in the US found that presence of mental health disorders, including schizophrenia and bi-polar disorder, were significantly associated with all-cause mortality . Taken together with this previous evidence, findings from this study suggest a need to evaluate the possible role of comprehensive mental health support in the context of existing harm reduction and HIV treatment services in order to prevent excess mortality.
This study has several strengths and limitations that warrant consideration. Participants were not randomly selected, and therefore are not representative of the general HIV-positive or IDU populations in BC. Common to all survival analyses, the censoring of participants who were either event-free or lost to follow-up may have led to an underestimation of true time to event. Longitudinal data was not available for most socio-demographic and clinical variables. A major limitation of the study is that food security and hunger status were only collected at baseline. This study was therefore unable to ascertain the possible time-updated effects of food insecurity/hunger on mortality. Multivariate models in this study controlled for several variables that have been hypothesized to be on the causal pathway between food insecurity and mortality , and may have therefore underestimated true effect size. Information bias, and specifically responder bias, may have led to non-differential misclassification of hunger status, biasing Odds Ratio estimates towards the null. Residual confounding – due to dichotomization of continuous variables, use of surrogate markers, misclassification, or failure to account for unobserved/unknown confounders – may have introduced bias into effect estimates. Future studies could be strengthened by considering the potential confounding impact of geographic region on the relationship between hunger and mortality, which has been independently associated with both HIV-related food insecurity (data not published) and mortality trends in BC .
Although the Radimer/Cornell scale is not considered the most contemporary of food insecurity measurement options, select measures within the scale have been incorporated into contemporary food security scales, including the United States Household Food Security Survey Module (HFSSM)  and Canadian versions of the module , offering some degree of geographic and temporal comparability. Notably, the hunger measure used in our analysis has remained consistent across different food security modules developed since the early 1990s, with the only difference being an emphasis on hunger frequency and duration in contemporary tools . The advantage of the Radimer/Cornell scale used in this study is that it prompted respondents for ‘current’ food insecurity and hunger status, minimizing recall bias.
Because survey data were self-reported, this study may have also been susceptible to recall bias and social desirability bias. While the measure of hunger used in this study has been extensively validated in low income populations , , , future studies could be strengthened by applying robust dietary intake assessment methods validated for use among HIV-positive individuals, including 24 hour dietary recall and food frequency questionnaires , . Use of self-reported weight and height for BMI may have been prone to bias, with studies demonstrating that individuals tend to under-report energy intake, weight and BMI, and over-report height . Future studies could additionally consider clinical assessment of body weight loss and body cell mass, and subjective assessments of global nutritional status, which have found to be robust among people living with HIV/AIDS , and body composition and biochemical measures commonly used in HIV-positive IDU populations .
In summary, we found that food insecurity was associated with a two-fold increased risk of mortality, after controlling for potential confounders, among HIV-positive IDU receiving ART across BC, Canada. Further research is necessary to understand the mechanisms through which food insecurity drives this association, and to examine modifying effects of diverse nutritional, mental health and behavioral factors in the relationship between food insecurity and mortality. Public health organizations should prospectively evaluate the possible role of food supplementation and socio-structural supports on survival among IDU within HIV treatment programs.
Contributed specialist knowledge and critical review/feedback on manuscript drafts: SDW JSGM RSH. Conceived and designed the experiments: AA RSH. Analyzed the data: AA KC YC. Wrote the paper: AA.
- 1. Hogg RS, Yip B, Chan KJ, Wood E, Craib KJ, et al. (2001) Rates of disease progression by baseline CD4 cell count and viral load after initiating triple-drug therapy. JAMA 286: 2568–2577.
- 2. Hogg RS, Heath KV, Yip B, Craib KJ, O'Shaughnessy MV, et al. (1998) Improved survival among HIV-infected individuals following initiation of antiretroviral therapy. JAMA 279: 450–454.
- 3. van der Sande MA, Schim van der Loeff MF, Aveika AA, Sabally S, Togun T, et al. (2004) Body mass index at time of HIV diagnosis: a strong and independent predictor of survival. J Acquir Immune Defic Syndr 37: 1288–1294.
- 4. Tang AM, Forrester J, Spiegelman D, Knox TA, Tchetgen E, et al. (2002) Weight loss and survival in HIV-positive patients in the era of highly active antiretroviral therapy. J Acquir Immune Defic Syndr 31: 230–236.
- 5. Argemi X, Dara S, You S, Mattei JF, Courpotin C, et al. (2012) Impact of malnutrition and social determinants on survival of HIV infected adults starting antiretroviral therapy in a rural HIV care centre in Cambodia. AIDS 26: 1161–1166.
- 6. Liu E, Spiegelman D, Semu H, Hawkins C, Chalamilla G, et al. (2011) Nutritional status and mortality among HIV-infected patients receiving antiretroviral therapy in Tanzania. J Infect Dis 204: 282–290.
- 7. Koethe JR, Blevins M, Nyirenda C, Kabagambe EK, Shepherd BE, et al. (2011) Nutrition and inflammation serum biomarkers are associated with 12-week mortality among malnourished adults initiating antiretroviral therapy in Zambia. J Int AIDS Soc 14: 19.
- 8. Koethe JR, Limbada MI, Giganti MJ, Nyirenda CK, Mulenga L, et al. (2010) Early immunologic response and subsequent survival among malnourished adults receiving antiretroviral therapy in Urban Zambia. AIDS 24: 2117–2121.
- 9. Heimburger DC, Koethe JR, Nyirenda C, Bosire C, Chiasera JM, et al. (2010) Serum phosphate predicts early mortality in adults starting antiretroviral therapy in Lusaka, Zambia: a prospective cohort study. PloS One 5: e10687.
- 10. Moh R, Danel C, Messou E, Ouassa T, Gabillard D, et al. (2007) Incidence and determinants of mortality and morbidity following early antiretroviral therapy initiation in HIV-infected adults in West Africa. AIDS 21: 2483–2491.
- 11. Paton NI, Sangeetha S, Earnest A, Bellamy R (2006) The impact of malnutrition on survival and the CD4 count response in HIV-infected patients starting antiretroviral therapy. HIV Med 7: 323–330.
- 12. Zachariah R, Fitzgerald M, Massaquoi M, Pasulani O, Arnould L, et al. (2006) Risk factors for high early mortality in patients on antiretroviral treatment in a rural district of Malawi. AIDS 20: 2355–2360.
- 13. Semba RD, Graham NM, Caiaffa WT, Margolick JB, Clement L, et al. (1993) Increased mortality associated with Vitamin A deficiency during human immunodeficiency virus type 1 infection. Arch Intern Med 153: 2149–2154.
- 14. Cunningham WE, Hays RD, Duan N, Andersen R, Nakazono TT, et al. (2005) The effect of socioeconomic status on the survival of people receiving care for HIV infection in the United States. J Health Care Poor Underserved 16: 655–676.
- 15. McMahon J, Wanke C, Terrin N, Skinner S, Knox T (2011) Poverty, hunger, education, and residential status impact survival in HIV. AIDS Behav 15: 1503–1511.
- 16. Weiser SD, Fernandes KA, Brandson EK, Lima VD, Anema A, et al. (2009) The association between food insecurity and mortality among HIV-infected individuals on HAART. J Acquir Immune Defic Syndr 52: 342–349.
- 17. Rawat R, McCoy SI, Kadiyala S (2012) Poor diet quality is associated with low CD4 count and anemia and predicts mortality among antiretroviral therapy naive HIV-positive adults in Uganda. J Acquir Immune Defic Syndr 62: 246–53.
- 18. Himmelgreen DA, Pérez-Escamilla R, Segura-Millán S, Romero-Daza N, Tanasescu M, et al. (1998) A comparison of the nutritional status and food security of drug-using and non-drug-using Hispanic women in Hartford, Connecticut. Am J Phys Anthropol 107: 351–361.
- 19. Campa A, Yang Z, Lai S, Xue L, Phillips JC, et al. (2005) HIV-Related Wasting in HIV-Infected Drug Users in the Era of Highly Active Antiretroviral Therapy. Clin Infect Dis 41: 1179–1185.
- 20. Romero-Daza N, Himmelgreen DA, Pérez-Escamilla R, Segura-Millán S, Singer M (1999) Food habits of drug-using Puerto Rican women in inner-city Hartford. Medical Anthropology: Cross-Cultural Studies in Health and Illness 18: 281–298.
- 21. Santolaria-Fernández FJ, Gómez-Sirvent JL, González-Reimers CE, Batista-López JN, Jorge-Hernández JA, et al. (1995) Nutritional assessment of drug addicts. Drug Alcohol Depend 38: 11–18.
- 22. Quach LA, Wanke CA, Schmid CH, Gorbach SL, Mwamburi DM, et al. (2008) Drug use and other risk factors related to lower body mass index among HIV-infected individuals. Drug Alcohol Depend 95: 30–36.
- 23. Nazrul Islam SK, Jahangir Hossain K, Ahmed A, Ahsan M (2002) Nutritional status of drug addicts undergoing detoxification: prevalence of malnutrition and influence of illicit drugs and lifestyle. British Journal of Nutrition 88: 507–513.
- 24. Forrester JE, Tucker KL, Gorbach SL (2005) The effect of drug abuse on body mass index in Hispanics with and without HIV infection. Public Health Nutr 8: 61–68.
- 25. Weiser SD, Young SL, Cohen CR, Kushel MB, Tsai AC, et al. (2011) Conceptual framework for understanding the bidirectional links between food insecurity and HIV/AIDS. Am J Clin Nutr 94: 1729S–1739S.
- 26. Weiser SD, Frongillo EA, Ragland K, Hogg RS, Riley ED, et al. (2008) Food Insecurity is Associated with Incomplete HIV RNA Suppression Among Homeless and Marginally Housed HIV-infected Individuals in San Francisco. J Gen Intern Med 24: 14–20.
- 27. Kalichman SC, Cherry C, Amaral C, White D, Kalichman MO, et al. (2010) Health and treatment implications of food insufficiency among people living with HIV/AIDS, Atlanta, Georgia. J Urban Health 87: 631–641.
- 28. Normén L, Chan K, Braitstein P, Anema A, Bondy G, et al. (2005) Food insecurity and hunger are prevalent among HIV-positive individuals in British Columbia, Canada. J Nutr 135: 820–825.
- 29. Weiser SD, Bangsberg DR, Kegeles SK, Ragland K, Kushel MB, et al. (2009) Food insecurity among homeless and marginally housed individuals living with HIV/AIDS in San Francisco. AIDS Behav 13: 841–848.
- 30. Thompson MA, Aberg JA, Cahn P, Montaner JS, Rizzardini G, et al. (2010) Antiretroviral treatment of adult HIV infection: 2010 recommendations of the International AIDS Society-USA panel. JAMA 304: 321–333.
- 31. British Columbia Centre for Excellence in HIVAIDS (BC-CfE) (Jan. 2011) Therapeutic Guidelines: Antiretroviral treatment (ARV) of adult HIV infection. Available: http://www.cfenet.ubc.ca/our-work/initiatives/therapeutic-guidelines/adult-therapeutic-guidelines. Accessed 2012 Feb 7.
- 32. Au-Yeung CG, Anema A, Chan K, Yip B, Montaner JS, et al. (2010) Physician's manual reporting underestimates mortality: evidence from a population-based HIV/AIDS treatment program. BMC Public Health 10: 642.
- 33. Kendall A, Olson CM, Frongillo EA (1995) Validation of the Radimer/Cornell Measures of Hunger and Food Insecurity. J Nutr 125: 2793–2801.
- 34. Radimer KL, Olson CM, Campbell CC (1990) Development of indicators to assess hunger. J Nutr 120 Suppl 11: 1544–1548.
- 35. Frongillo EA Jr (1999) Validation of measures of food insecurity and hunger. J Nutr 129: 506S–509S.
- 36. Radimer KL, Radimer KL (2002) Measurement of household food security in the USA and other industrialised countries. Public Health Nutr 5: 859–864.
- 37. United States Department of Agriculture (USDA) (2006) Food insecurity and hunger in the United States: An assessment of the measure. Panel to Review the U.S. Department of Agriculture's Measurement of Food Insecurity and Hunger. Wunderlich GS and Norwood JL Eds. The National Academies Press. Washington DC. Available: http://www.nap.edu/catalog/11578.html. Accessed 2013 Feb 19.
- 38. Anema A (2011) Food insecurity in the context of HIV: Towards harmonized definitions and indicators International Conference on AIDS and STIs in Africa Addis Ababa Dec 4–8.
- 39. Bickel D, Nord M, Price C, Hamilton W, Cook J (2000) United States Department of Agriculture (USDA) Guide to Measuring Household Food Security. Revised 2000. Available: www.fns.usda.gov/fsec/FILES/FSGuide.pdf. Accessed 2013 Feb 19.
- 40. Statistics Canada, Income Statistics Division (2011) Low Income Lines, 2009–2010. Income Research Paper Series. Catalogue no. 75F0002M — No. 002.
- 41. World Health Organisation (WHO) (2012) BMI Classification. Table 1: The International Classification of adult underweight, overweight and obesity according to BMI. Global Databse on Body Mass Index. Available: http://apps.who.int/bmi/index.jsp?introPage=intro_3.html. Accessed 2012 May 5.
- 42. Niyongabo T, Melchior JC, Henzel D, Bouchaud O, Larouzé B (1999) Comparison of methods for assessing nutritional status in HIV-infected adults. Nutrition 15: 740–743.
- 43. Centres for Disease Control (CDC) (1992) 1993 revised classification system for HIV infection and expanded surveillance case definition for AIDS among adolescents and adults. Morbidity and Mortality Weekly Report (MMWR) 41: 1–19.
- 44. Wood E, Hogg RS, Yip B, Harrigan PR, O'Shaughnessy MV, et al. (2003) Effect of medication adherence on survival of HIV-infected adults who start highly active antiretroviral therapy when the CD4+ cell count is 0.200 to 0.350×10(9) cells/L. Ann Intern Med 139: 810–816.
- 45. Wood E, Hogg RS, Lima VD, Kerr T, Yip B, et al. (2008) Highly active antiretroviral therapy and survival in HIV-infected injection drug users. JAMA 300: 550–554.
- 46. Maldonado G, Greenland S (1993) Simulation study of confounder-selection strategies. Am J Epidemiol 138: 923–936.
- 47. Rothman KJ, Greenland S (1998) Modern Epidemiology. New York, NYUnited States: Lippincott Williams & Wilkins.
- 48. Milloy MJ, Kerr T, Bangsberg DR, Buxton J, Parashar S, et al. (2012) Homelessness as a structural barrier to effective antiretroviral therapy among HIV-seropositive illicit drug users in a Canadian setting. AIDS Patient Care STDS 26: 60–67.
- 49. Lima VD, Geller J, Bangsberg DR, Patterson TL, Daniel M, et al. (2007) The effect of adherence on the association between depressive symptoms and mortality among HIV-infected individuals first initiating HAART. AIDS 21: 1175–1183.
- 50. Lima VD, Lepik KJ, Zhang W, Muldoon KA, Hogg RS, et al. (2010) Regional and temporal changes in HIV-related mortality in British Columbia, 1987–2006. Can J Public Health 101: 415–419.
- 51. Nolan S, Milloy MJ, Zhang R, Kerr T, Hogg RS, et al. (2011) Adherence and plasma HIV RNA response to antiretroviral therapy among HIV-seropositive injection drug users in a Canadian setting. AIDS Care 23: 980–987.
- 52. Wood E, Montaner JS, Yip B, Tyndall MW, Schechter MT, et al. (2003) Adherence and plasma HIV RNA responses to highly active antiretroviral therapy among HIV-1 infected injection drug users. CMAJ 169: 656–661.
- 53. Milloy MJ, Kerr T, Buxton J, Rhodes T, Guillemi S, et al. (2011) Dose-response effect of incarceration events on nonadherence to HIV antiretroviral therapy among injection drug users. J Infect Dis 203: 1215–1221.
- 54. Tapp C, Milloy MJ, Kerr T, Zhang R, Guillemi S, et al. (2011) Female gender predicts lower access and adherence to antiretroviral therapy in a setting of free healthcare. BMC Infect Dis 11: 86.
- 55. Baum MK (2000) Role of micronutrients in HIV-infected intravenous drug users. J Acquir Immune Defic Syndr 25: S49–52.
- 56. Tang AM, Graham NM, Chandra RK, Saah AJ (1997) Low serum Vitamin B-12 concentrations are associated with faster human immunodeficiency virus type 1 (HIV-1) disease progression. J Nutr 127: 345–351.
- 57. Andrews G, Hobbs MJ, Borkovec TD, Beesdo K, Craske MG, et al. (2010) Generalized worry disorder: a review of DSM-IV generalized anxiety disorder and options for DSM-V. Depress Anxiety 27: 134–147.
- 58. Ironson G, O'Cleirigh C, Fletcher MA, Laurenceau JP, Balbin E, et al. (2005) Psychosocial factors predict CD4 and viral load change in men and women with human immunodeficiency virus in the era of highly active antiretroviral treatment. Psychosom Med 67: 1013–1021.
- 59. Pence BW, Miller WC, Gaynes BN, Eron JJ Jr (2007) Psychiatric illness and virologic response in patients initiating highly active antiretroviral therapy. J Acquir Immune Defic Syndr 44: 159–166.
- 60. Parienti JJ, Massari V, Descamps D, Vabret A, Bouvet E, et al. (2004) Predictors of virologic failure and resistance in HIV-infected patients treated with nevirapine- or efavirenz-based antiretroviral therapy. Clin Infect Dis 38: 1311–1316.
- 61. Ickovics JR, Hamburger ME, Vlahov D, Schoenbaum EE, Schuman P, et al. (2001) Mortality, CD4 cell count decline, and depressive symptoms among HIV-seropositive women: longitudinal analysis from the HIV Epidemiology Research Study. JAMA 285: 1466–1474.
- 62. Cohen MH, French AL, Benning L, Kovacs A, Anastos K, et al. (2002) Causes of death among women with human immunodeficiency virus infection in the era of combination antiretroviral therapy. Am J Med 113: 91–98.
- 63. Leserman J, Pence BW, Whetten K, Mugavero MJ, Thielman NM, et al. (2007) Relation of lifetime trauma and depressive symptoms to mortality in HIV. Am J Psychiatry 164: 1707–1713.
- 64. Mayne TJ, Vittinghoff E, Chesney MA, Barrett DC, Coates TJ (1996) Depressive affect and survival among gay and bisexual men infected with HIV. Arch Intern Med 156: 2233–2238.
- 65. Kelly B, Raphael B, Judd F, Perdices M, Kernutt G, et al. (1998) Suicidal ideation, suicide attempts, and HIV infection. Psychosomatics 39: 405–415.
- 66. Kinsler JJ, Wong MD, Sayles JN, Davis C, Cunningham WE (2007) The effect of perceived stigma from a healthcare provider on access to care among a low-income HIV-positive population. AIDS Patient Care STDS 21: 584–592.
- 67. Rao D, Kekwaletswe TC, Hosek S, Martinez J, Rodriguez F (2007) Stigma and social barriers to medication adherence with urban youth living with HIV. AIDS Care 19: 28–33.
- 68. Ware NC, Wyatt MA, Tugenberg T (2006) Social relationships, stigma and adherence to antiretroviral therapy for HIV/AIDS. AIDS Care 18: 904–910.
- 69. Rintamaki LS, Davis TC, Skripkauskas S, Bennett CL, Wolf MS (2006) Social stigma concerns and HIV medication adherence. AIDS Patient Care STDS 20: 359–368.
- 70. Nurutdinova D, Chrusciel T, Zeringue A, Scherrer JF, Al-Aly Z, et al. (2012) Mental health disorders and the risk of AIDS-defining illness and death in HIV-infected veterans. AIDS 26: 229–234.
- 71. United States Department of Agriculture (USDA) Household Food Security Survey Module (HFSSM). U.S. Adult Food Security Survey Module. Available: http://www.ers.usda.gov/topics/food-nutrition-assistance/food-security-in-the-us/survey-tools.aspx#adult. Accessed 2012 Dec 17.
- 72. Statistics Canada Canadian Community Health Survey (CCHS), Cycle 2.2, Nutrition (2004): Income-Related Household Food Security in Canada. Available: http://www.hc-sc.gc.ca/fn-an/surveill/nutrition/commun/income_food_sec-sec_alim-eng.php#metho24. Accessed 2012 Dec 17.
- 73. Anema A, Weiser SD, Fernandes KA, Ding E, Brandson EK, et al. (2009) High prevalence of food insecurity among HIV-infected individuals receiving HAART in a resource-rich setting. AIDS Care 23: 221–230.
- 74. Vogenthaler NS, Hadley C, Lewis SJ, Rodriguez AE, Metsch LR, et al. (2010) Food insufficiency among HIV-infected crack-cocaine users in Atlanta and Miami. Public Health Nutr 13: 1478–1484.
- 75. Sahni S, Forrester JE, Tucker KL (2007) Assessing Dietary Intake of Drug-Abusing Hispanic Adults with and without Human Immunodeficiency Virus Infection. J Am Diet Assoc 107: 968–976.
- 76. Smit E, Tang A (2000) Nutritional assessment in intravenous drug users with HIV/AIDS. J Acquir Immune Defic Syndr 25: S62–69.
- 77. Gorber SC, Tremblay M, Moher D, Gorber B (2007) A comparison of direct vs. self-report measures for assessing height, weight and body mass index: a systematic review. Obesity Reviews 8: 307–326.