Figures
Abstract
Depressive symptoms have been shown to independently affect both antiretroviral therapy (ART) adherence and HIV clinical outcomes in high-income countries. We examined the prospective relationship between depressive symptoms and adherence, virologic failure, and suppressed immune function in people living with HIV/AIDS in Tanzania. Data from 403 study participants who were on stable ART and engaged in HIV clinical care were analyzed. We assessed crude and adjusted associations of depressive symptoms and ART adherence, both at baseline and at 12 months, using logistic regression. We used logistic generalized estimating equations to assess the association and 95% confidence intervals (CI) between depressive symptoms and both virologic failure and suppressed immune function. Ten percent of participants reported moderate or severe depressive symptoms at baseline and 31% of participants experienced virologic failure (>150 copies/ml) over two years. Depressive symptoms were associated with greater odds of reported medication nonadherence at both baseline (Odds Ratio [OR] per 1-unit increase = 1.18, 95% CI [1.12, 1.24]) and 12 months (OR = 1.08, 95% CI [1.03, 1.14]). By contrast, increases in depressive symptom score were inversely related to both virologic failure (OR = 0.93, 95% CI [0.87, 1.00]) and immune system suppression (OR = 0.88, 95% CI [0.79, 0.99]), though the association between depressive symptoms and clinical outcomes was less precise than for the association with nonadherence. Findings indicate a positive association between depressive symptoms and nonadherence, and also an inverse relationship between depressive symptoms and clinical outcomes, possibly due to informative loss to follow-up.
Citation: Belenky NM, Cole SR, Pence BW, Itemba D, Maro V, Whetten K (2014) Depressive Symptoms, HIV Medication Adherence, and HIV Clinical Outcomes in Tanzania: A Prospective, Observational Study. PLoS ONE 9(5): e95469. https://doi.org/10.1371/journal.pone.0095469
Editor: Cristian Apetrei, University of Pittsburgh Center for Vaccine Research, United States of America
Received: February 11, 2014; Accepted: March 25, 2014; Published: May 5, 2014
Copyright: © 2014 Belenky 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: The project described was supported by grant 5R01MH078756 from the National Institute of Mental Health (www.nimh.nih.gov). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institute of Mental Health or the National Institutes of Health. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Clinical outcomes of HIV have dramatically improved since the widespread adoption of modern combination antiretroviral therapy (ART), which has enhanced quality of life and increased survival time among people living with HIV/AIDS (PLWHA) [1], [2]. However, despite ART's success, PLWHA who are on ART still exhibit variability in adherence and clinical outcomes [3]. This variability has been partially attributed to behavioral and psychosocial factors, including depression [4]–[8].
The effects of the mental health disease burden in PLWHA may be exacerbated by lack of treatment options. The World Health Organization's most recent estimates from the Mental Health Gap Action Programme indicate that 75% of those in need of mental health treatment do not have access to services [9]. Furthermore, despite similar prevalence of mental health disorders, mental health resources vary widely by country; in low-income countries, the World Health Organization calculated a median number of 0.3 mental health professionals per 100,000, compared to a median number of 70 per 100,000 in high-income countries [10].
Depressive symptoms are thought to influence treatment initiation and maintenance of PLWHA through different pathways, from immunological response to health-related behaviors. Studies have shown that depressive symptoms predict differences in HIV disease progression, even after controlling for ART adherence [8]. Depressive symptoms have also been linked to general suppressed immune function [11], increased HIV-1 viral load (VL) [12], faster progression to AIDS [4], as well as higher all-cause and HIV-related mortality [13]–[16]. Depressive symptoms also affect health-related behaviors and have been linked to illicit drug use, alcohol consumption, and reduced ART adherence [17], [18].
The effects of depressive symptoms are also not restricted to high-income countries. A recent systematic review on ART adherence in sub-Saharan Africa [19] estimated the prevalence of depressive symptoms was 31%, pooled over 23 studies and 9 countries, and that the likelihood of achieving good ART adherence was 55% lower among PLWHA with depressive symptoms compared to those without. However, 20 of the 23 studies on depressive symptoms were cross-sectional, most consisted of individuals with advanced HIV, and access to care varied widely.
Previous studies have examined the independent associations of depressive symptoms and HIV clinical outcomes. To date, however, no study has considered the relationship of depressive symptoms with ART adherence and HIV clinical outcomes at separate time points in a sub-Saharan population in established medical care.
Using data from the Coping with HIV/AIDS in Tanzania (CHAT) study, we quantify the association of baseline depressive symptoms on ART adherence at baseline and 12-months as well as examine the relationship between baseline depressive symptoms and both virologic failure and suppressed immune function at any point during follow-up (i.e., 12, 24, or 36 months). We hypothesize that participants with high depressive symptom scores are more likely to report nonadherence than those with low depressive symptom scores, and that participants with high depressive symptom scores are more likely to experience virologic failure and suppressed immune function. The results of this study will add to the limited body of knowledge on the relationship between depressive symptoms on both ART adherence and HIV clinical outcomes in low- and middle-income countries.
Methods
Participants
The CHAT Study is a prospective observational study that examines the relationship between psychosocial characteristics, ART adherence, and HIV health outcomes. The study recruited 1,191 participants in Moshi, Tanzania, between November 2008 and October 2009. Study participants form five cohorts: patients with established HIV infection receiving care at a tertiary referral hospital (n = 227), patients with established HIV infection receiving care at a public hospital (n = 271), individuals recently diagnosed with HIV (n = 263) or tested negative for HIV (n = 181) at voluntary counseling and testing sites, and a random community sample of adults (n = 249). Sampling, recruitment, and selection procedures are described in more detail elsewhere [20]. All participants complete standardized in-person interviews in Swahili every six months. In addition to measurements obtained during the clinical exam at study initiation, participants with established HIV infection also provide blood samples for VL during a clinical exam every 12 months and corresponding CD4 cell counts are abstracted from medical records.
We restricted this analysis to participants with established HIV infection (i.e., who were either receiving care at a tertiary referral hospital or a public hospital, n = 498). We further restricted the sample to participants who were on ART at baseline (n = 403). Written, informed consent was obtained from all participants. The study was approved by the Kilimanjaro Christian Medical Center Institutional Review Board in Tanzania and the Duke University Health System Institutional Review Board in the United States.
Measurements
Age, gender, marital status (i.e., single, married, divorced/widowed), education (i.e., none, primary, secondary, university), and household assets were assessed at baseline using the in-person questionnaire. Possible household assets included access to: running water, a flush toilet, and/or a television; each asset contributed one point to the household asset score (range: 0–3).
Depressive symptoms were measured using the Patient Health Questionnaire (PHQ-9), a nine-item questionnaire taken from the Primary Care Evaluation of Mental Disorders [21], [22], which has been validated in similar populations [23], [24]. For each of the nine items, participants were asked how often they experienced the corresponding symptom during the previous two weeks. Individual items are scored on a 0–3 scale. Total scores for depressive symptoms range from 0–27, where higher scores indicate greater depressive symptom severity. In this analysis, depressive symptoms at baseline were examined continuously.
The outcomes of this study were ART nonadherence at baseline and 12 months, ever having experienced a virologic failure, or ever having had suppressed immune function. ART nonadherence was assessed using a combination of four ART adherence questions. Answering affirmatively that a dose had been missed within the last month or indicating either that doses were missed, forgotten about, or skipped; not all doses were taken; or that doses were taken more than one hour early or late. All indications of missed or mistimed doses were assessed using a visual guide. The definition of ART nonadherence included dose timing based on previous findings that dose timing error was significantly related to HIV VL [25].
Plasma for VL measurements was collected from participants in 10-ml Vacutainer tubes containing potassium ethylenediaminetetraacetic acid and was stored at −80°C until testing. VLs were quantified by HIV-1 RNA extracted from 1.0-ml plasma samples using an isothermal nucleic acid sequence-based amplification method. This assay has a lower detection limit of 40 or 150 copies/ml depending on the lowest sample volume of the run, and is linear to concentrations as high as 106 copies/ml. An Abbott m2000 system was used to analyze all samples and the study laboratory participates in an international viral quality assurance program. Initial CD4 cell counts were obtained during the clinical exam at study entry. During follow-up, the CD4 cell counts that corresponded in time to the VL measurements were abstracted from medical charts.
Statistical Analyses
For all outcomes, we adjusted for baseline measures of age, gender, marital status, education, and asset score. We estimated the adjusted and unadjusted association between depressive symptoms and ART adherence (at baseline and 12 months), and virologic failure during follow-up or suppressed immune function at any available measurement during follow-up. Odds ratios (OR) for ART adherence were obtained using logistic regression. Generalized estimating equation (GEE) logistic models were used to account for repeated measurements of viral load and CD4 cell counts. Virologic failure was examined as a dichotomous variable, where virologic failure was defined as a viral load of >150 copies/ml at any point after baseline. Suppressed immune function was also treated as a dichotomous variable, where suppressed immune function was defined as any instance of a CD4 cell count below 200 cells/mm3 after baseline. Both GEE logistic models of virologic failure and suppressed immune function were also examined after adjusting for baseline values of viral load and CD4 cell count, respectively. All statistical analyses were performed using STATA version 12.1 for Mac (Stata Corporation, College Station, Texas).
Results
Of the 403 participants, 69% (n = 276) of the participants were female and the median age was 42 years (IQR: 36–48). Approximately 37% of the study participants were married or co-habitating, 14% had never married, 28% were widowed, and 20% were divorced. Seventy-four percent (n = 297) of participants had received a primary education and the median asset score was 2, corresponding to ownership of two of the three measured assets: running water, a flush toilet, or a television.
Levels of depressive symptoms were low: only 10% (n = 40) of participants had a score indicating moderate or severe depressive symptoms (PHQ-9≥10) and 23% (n = 94) had scores indicating of mild, moderate, or severe depressive symptoms (PHQ-9≥5). At baseline, the median CD4 count was 305 cells/mm3 (IQR: 191–443 cells/mm3). The majority of participants had a suppressed VL at baseline (82%), where suppression was defined as a VL of ≤150 copies/ml (Table 1).
VL measurements at baseline were available for 375 participants (93%) and a high percentage of participants had VL measurements at 12, 24 and 36 months (84%, 86%, and 91%, respectively). The proportion of participants experiencing virologic failure changed over time, ranging from 10% to 19%, and 31% of participants experienced at least one virologic failure. CD4 cell counts were based on the study's medical exam at the initial study visit and abstracted from medical records during follow-up. At baseline, 285 (71%) of 403 participants had CD4 cell count measurements. During follow-up, the number of participants with CD4 cell count measurements was lower, where the percentage of participants with CD4 cell counts ranged from 42% to 56%. Overall, 97% of participants had at least one VL measurement and 84% had at least one CD4 cell count measurement over the time points used in this analysis (Table 2).
Results show a positive association between depressive symptoms and ART nonadherence both at baseline and at 12 months. The unadjusted estimates of the relationship between baseline depressive symptoms and ART nonadherence at baseline and 12 months ART were OR = 1.16 (95% CI: 1.10, 1.22) and 1.08 (95% CI: 1.03, 1.14), respectively. After adjustment for potential confounders (age, gender, marital status, education, and household assets), the magnitude of the relationship was virtually unchanged, resulting in an OR of 1.18 (95% CI: 1.12–1.24) and 1.08 (95% CI: 1.03, 1.14) for ART nonadherence at baseline and 12 months, respectively. In other words, for every 1-unit increase in PHQ-9 score, the odds of being nonadherent to ART were 1.1 times greater than the odds of being adherent. The adjusted ORs for the effect of continuous depressive symptoms on virologic failure and suppressed immune function show an inverse relationship with depressive symptoms, where a higher depressive symptom score corresponds to lower odds of virologic failure or immunosuppression (OR = 0.93 [95% CI: 0.87–1.00] and OR = 0.88 [95% CI: 0.79, 0.99], respectively) (Table 3).
Discussion
In this population of Tanzanian adults with HIV in established medical care, we found that a continuous measure of baseline depressive symptoms was positively associated with ART nonadherence, both at baseline and the 12-month follow-up visit. This positive relationship held in both the crude and adjusted results. Increases in baseline depressive symptoms were not associated with increased odds of either virologic failure or suppressed immune function during follow-up.
These findings are consistent with the proposed hypothesis that depressive symptoms are positively associated with ART nonadherence. Furthermore, association held in both direction and magnitude after adjustment for potential confounders. While results indicated a positive association between depressive symptoms and ART nonadherence, they also indicate an inverse relationship between depressive symptoms and clinical outcomes, possibly due to informative loss to follow-up.
Because previous studies of depressive symptoms and HIV clinical outcomes have relied on cross-sectional study designs [19], factors previously associated with ART adherence, VL or CD4 counts may not predict change over prospective follow-up. Furthermore, this analysis considered individuals in established HIV clinical care, who had been on ART for at least six months. In an ART-stabilized population, psychosocial factors may play a more important role in determining ART adherence patterns as well as early virologic suppression and maintenance. To our knowledge, this is the first study to examine the relationship between depressive symptoms, and a combination of ART adherence and clinical outcomes using a prospective design on a sub-Saharan population of PLWHA in established medical care.
Prospective assessment of ART adherence, CD4 cell counts, and VL is a primary advantage of this study, resulting in stronger causal interpretation of results due to established temporal order between exposure and outcome. Furthermore, the CHAT study's emphasis on psychosocial factors is less common in low-income countries, despite the combination of high prevalence and reduced access to mental health services. Although this study is conducted using a Tanzanian cohort, high ART adherence and retention rates increase the generalizability of findings to other populations that have similar ART adherence patterns and access to treatment. Another advantage of the CHAT Study is the measurement of depressive symptoms by the PHQ-9, which has been previously validated specifically in PLWHA in sub-Saharan Africa [23], [24]. Finally, the high retention in the cohort over the two year study period, for both psychosocial and clinic visits, makes bias due to drop-out less likely.
The analysis was limited by several factors. Levels of depressive symptoms were low in the study sample, resulting in small numbers of participants with elevated depressive symptoms and high VL or suppressed immune function. In addition, the CHAT Study is ongoing and not all clinical measurements were available at the later time points. Depressive symptoms and ART adherence measures were limited in that both are self-reported, although this is common in studies of ART adherence and depressive symptoms in sub-Saharan Africa [19]. Finally, while the PHQ-9 is an effective screening tool for depressive symptoms, it does not represent a clinical diagnosis.
This study adds to the literature on the influence of psychosocial factors on ART adherence and HIV clinical outcomes. Previous studies on psychosocial factors and ART adherence have suggested that strategies for intervention directed at depressive symptoms would have positive effects on ART adherence. This study strengthens those results for a sub-Saharan population receiving stable medical care. Furthermore, this study demonstrates that, despite the positive association between baseline depressive symptoms and ART nonadherence at baseline and 12 months, findings show an inverse relationship between depressive symptoms at baseline and odds of both virologic failure and suppressed immune function during follow-up. The confidence intervals for the clinical measures were larger than the confidence intervals for nonadherence and it is possible that the inverse association is due to incomplete clinical data and subject to change as more clinical data are incorporated. Longer periods of ART nonadherence associated with depressive symptoms may also be necessary before changes in VL or CD4 are measurable.
This analysis demonstrates an under-utilized avenue for identifying ART nonadherence in early treatment stages and maximizing the impact of HIV treatment. It also emphasizes the far-reaching impact that increased capacity for mental health screening and services can have. The association between depressive symptoms and nonadherence in the early stages of treatment indicates the advantage of screening for depressive symptoms at treatment initiation. Additional research should explore the effects of combining mental health screening and treatment with conventional HIV care on retention in clinical care, as well as the effects of mental health services in the later stages of HIV disease progression. The results of this study demonstrate the advantage of combining conventional HIV care with mental health screening for improving medication adherence and that, even in low- and middle-income settings, identification and treatment of depressive symptoms should be a priority for PLWHA.
Author Contributions
Conceived and designed the experiments: NMB SRC BWP DI KW. Performed the experiments: NMB. Analyzed the data: NMB. Contributed reagents/materials/analysis tools: NMB SRC BWP. Wrote the paper: NMB SRC BWP. Edited manuscript for important intellectual content: DI KW VM.
References
- 1. Hammer SM, Squires KE, Hughes MD, Grimes JM, Demeter LM, et al. (1997) A controlled trial of two nucleoside analogues plus indinavir in persons with human immunodeficiency virus infection and CD4 cell counts of 200 per cubic millimeter or less. New England Journal of Medicine 337: 725–733.
- 2. Hammer SM, Eron JJ, Reiss P (2008) Schooley RT, Thompson MA, et al (2008) Antiretroviral treatment of adult HIV infection. JAMA: The Journal of the American Medical Association 300: 555.
- 3. Schneider MF, Gange SJ, Williams CM, Anastos K, Greenblatt RM, et al. (2005) Patterns of the hazard of death after AIDS through the evolution of antiretroviral therapy: 1984–2004. Aids 19: 2009.
- 4. Leserman J, Jackson ED, Petitto JM, Golden RN, Silva SG, et al. (1999) Progression to AIDS: the effects of stress, depressive symptoms, and social support. Psychosomatic Medicine 61: 397.
- 5. Antelman G, Kaaya S, Wei R, Mbwambo J, Msamanga GI, et al. (2007) Depressive symptoms increase risk of HIV disease progression and mortality among women in Tanzania. J Acquir Immune Defic Syndr 44: 470–477.
- 6. Rao D, Feldman BJ, Fredericksen RJ, Crane PK, Simoni JM, et al. (2012) A structural equation model of HIV-related stigma, depressive symptoms, and medication adherence. AIDS and Behavior 16: 711–716.
- 7. Wilson TE, Barrón Y, Cohen M, Richardson J, Greenblatt R, et al. (2002) Adherence to antiretroviral therapy and its association with sexual behavior in a national sample of women with human immunodeficiency virus. Clinical Infectious Diseases 34: 529–534.
- 8. 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. Psychosomatic Medicine 67: 1013–1021.
- 9.
World Health Organization (2005) Mental Health Atlas. Geneva: World Health Organization.
- 10. Saxena S, Sharan P, Garrido M, Saraceno B (2006) World Health Organization's mental health atlas 2005: implications for policy development. World Psychiatry 5: 179.
- 11. Evans D, Leserman J, Pedersen C, Golden R, Lewis M, et al. (1989) Immune correlates of stress and depression. Psychopharmacology bulletin 25: 319.
- 12. Bouhnik AD, Préau M, Vincent E, Carrieri MP, Gallais H, et al. (2005) Depression and clinical progression in HIV-infected drug users treated with highly active antiretroviral therapy. Antivir Ther 10: 53–61.
- 13. Anastos K, Schneider MF, Gange SJ, Minkoff H, Greenblatt RM, et al. (2005) The association of race, sociodemographic, and behavioral characteristics with response to highly active antiretroviral therapy in women. Journal of Acquired Immune Deficiency Syndromes 39: 537.
- 14. Cook JA, Grey D, Burke J, Cohen MH, Gurtman AC, et al. (2004) Depressive symptoms and AIDS-related mortality among a multisite cohort of HIV-positive women. American Journal of Public Health 94: 1133.
- 15. 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.
- 16.
Leserman J, Pence BW, Whetten K, Mugavero MJ, Thielman NM, et al. (2007) Relation of lifetime trauma and depressive symptoms to mortality in HIV. The American journal of psychiatry.
- 17. Ickovics JR, Meade CS (2002) Adherence to antiretroviral therapy among patients with HIV: a critical link between behavioral and biomedical sciences. Journal of Acquired Immune Deficiency Syndromes 31: S98.
- 18. Gonzalez JS, Batchelder AW, Psaros C, Safren SA (2011) Depression and HIV/AIDS treatment nonadherence: a review and meta-analysis. Journal of Acquired Immune Deficiency Syndromes 58: 181.
- 19. Nakimuli-Mpungu E, Bass JK, Alexandre P, Mills EJ, Musisi S, et al. (2012) Depression, alcohol use and adherence to antiretroviral therapy in Sub-Saharan Africa: a systematic review. AIDS and Behavior 16: 2101–2118.
- 20. Pence BW, Shirey K, Whetten K, Agala B, Itemba D, et al. (2012) Prevalence of Psychological Trauma and Association with Current Health and Functioning in a Sample of HIV-infected and HIV-uninfected Tanzanian Adults. PloS one 7: 1932–6203.
- 21. Kroenke K, Spitzer RL, Williams JBW (2001) The PHQ-9. Journal of General Internal Medicine 16: 606–613.
- 22. Spitzer RL, Kroenke K, Williams JBW (1999) Validation and utility of a self-report version of PRIME-MD. JAMA 282: 1737–1744.
- 23. Adewuya AO, Ola BA, Afolabi OO (2006) Validity of the patient health questionnaire (PHQ-9) as a screening tool for depression amongst Nigerian university students. Journal of Affective Disorders 96: 89–93.
- 24. Monahan PO, Shacham E, Reece M, Kroenke K, Ong'or WO, et al. (2009) Validity/reliability of PHQ-9 and PHQ-2 depression scales among adults living with HIV/AIDS in western Kenya. Journal of General Internal Medicine 24: 189–197.
- 25. Liu H, Miller LG, Hays RD, Golin CE, Wu T, et al. (2006) Repeated measures longitudinal analyses of HIV virologic response as a function of percent adherence, dose timing, genotypic sensitivity, and other factors. Journal of Acquired Immune Deficiency Syndromes 41: 315–322.