Abstract
U.S. women have worse HAART and HIV health outcomes compared to U.S. men. The study examined main partner factors associated with women's HAART adherence. The community sample comprised 85% African Americans; 63% had a main partner and 32% relied on their partner for emotional support. Adherence was highest (92%) among those without a main partner, and lowest (57%) among those with an HIV seropositive main partner. In adjusted analysis, adherence was 75% less likely among women with an HIV seropositive main partner, and 78% less likely among those relying on their partner for emotional support. Furthermore, HIV seropositive versus other serostatus main partners were most likely to provide medication taking assistance and to be preferred in helping participants deal with HIV, yet were no more likely to be nominated as the most helpful to them. Findings reveal women's perceived unmet support needs from HIV seropositive main partners in this population, and the need for interventions to promote their HAART adherence. Seroconcordant couples-focused intervention that enhances mutual support of HAART adherence may be an effective approach to improving women's HAART adherence and reducing US gender disparities in HIV health outcomes.
Keywords: HIV/AIDS, highly active antiretroviral therapy (HAART), adherence, women, main partners, couples
INTRODUCTION
In the U.S., women compared to men have worse health outcomes of highly active antiretroviral therapy (HAART), contributing to their more rapid HIV progression (Losina, Schackman, Sadownik, Gebo et al., 2009). Research suggests that even among patients in HIV medical care, U.S. women compared to men tend to have lower access to HAART and are more likely to discontinue HAART use (Gebo, Fleishman, Conviser, Reilly, et al., 2005; Losina et al., 2009). Study results from other industrialized countries suggest that U.S. sex disparities in HAART outcomes are not explained by differences in treatment efficacy (Perez-Hoyos, Rodriguez-Arenas, Garcia, Iribarren, et al., 2007; Tedaldi, Absalon, Thomas, Shlay, & Berg-Wolf, 2008).
While previous literature has focused on individual-level factors affecting HAART outcomes, studies indicate that as with other chronic conditions, social support and social environmental factors (such as marital, or main partner, status) play an important role in HAART adherence and HIV health outcomes (Knowlton, Arnsten, Gourevitch, Eldred, et al., 2007; Di Matteo, 2004; Persson, Ostgergren, Hanson, Lindgren, & Naucler, 2002). Indeed, main partners (inclusive of spouses) play an important role in health outcomes among chronically ill adults, and are often their major sources of social support (Johnson, Backlund, Sorlie, & Loveless, 2000; Molloy, Stamatakis, Randall, & Hamer, 2009). Furthermore, the literature indicates that women as compared to men tend to gain less health benefits of having a main partner (Kiecolt-Glaser & Newton, 2001; Molloy et al., 2009). However, few studies have found evidence of behavioral mechanisms to explain partner effects on women's health outcomes (Molloy, et al., 2008).
Prior HIV studies have found conflicting results regarding associations between main partners and HAART adherence. In some studies, main partner support has been found to be positively associated with HAART adherence and outcomes (Andersen, Bozzette, Shapiro, St Clair, et al., 2000; Protopopescu, Raffi, Roux, Reynes et al., 2009), whereas other study results, including a U.S. representative sample of persons in HIV medical care, indicate that having a main partner is negatively associated with HAART adherence (Johnson, Catz, Remien, Rotherman-Borus, et al., 2003).
Differences in social contexts of study populations, such as types and qualities of relationships and support provided, may help explain discrepancies in prior findings. This study examined associations of partners and other social factors with HAART adherence among women in a U.S. HIV epicenter. Results will inform the development of interventions to reduce gender disparities in HAART, and contribute to theoretical understandings of social contextual influences on women's health.
Individual-level factors
HIV seropositive women compared to men in the U.S. tend to be disproportionately poor, racial minorities, and living in communities with high prevalence of substance abuse and chronic illness (Bozzette, Berry, Duan, Frankel, et al., 1998; Centers for Disease Control and Prevention [CDC], 2005). African Americans account for 66% of AIDS cases among women, yet comprise only 12% of U.S. women (CDC, 2008).
Substance use and depressive symptoms are highly prevalent among women with AIDS, and are negatively associated with HAART adherence, as is African American race in some studies (Johnson et al., 2003; Carrieri, Chesney, Spire, Loundou, et al., 2003; Pence, Miller, Gaynes, & Eron, Jr., 2007). In a multi-site study, depression and illicit drug use were found to interactively affect women's HAART use (Cook, Grey, Burke-Miller, Cohen, et al., 2007). Positive attitudes about HAART are consistently associated with HAART adherence (Arnsten, Mizuno, Knowlton, Gourevitch, et al., 2007).
Cognitive impairment is not uncommon among persons living with HIV/AIDS, and evidence suggests even mild forms may have adverse effects on HAART adherence (Hinkin, Castellon, Durvasula, Hardy, et al., 2002; Sacktor, McDermott, Marder, Schifitto, et al., 2002). Some studies suggest women's greater risk for or more rapid progression of AIDS-related cognitive impairment, yet few studies have examined the role of cognitive impairment in women's HAART adherence (Stern, McDermott, Albert, Palumbo, et al., 2001).
Social factors: Social support, informal caregiving, and privacy
Social support, including emotional support, is one of the most consistent predictors of medical adherence across a range of chronic conditions (Di Matteo, 2004). Social support has been found to be associated with HAART adherence among low income drug using populations, and to predict their virologic outcomes of HAART (Knowlton, et al., 2007). While evidence suggests that some low income HIV seropositive substance users are able to mobilize social support (Knowlton, Hua, & Latkin, 2004), little attention has been given to their main partners. Studies have found that partner support of chronically ill individuals may be ineffective in some contexts (Bolger, Foster, Vinokur, & Ng, 1996; Northouse, Templin, Mood, & Oberst, 1998).
Poverty and drug use may engender interpersonal conflict, impeding availability of social support to US HIV seropositive women,and adversely affecting their partners’ supportive functioning (Sterk, 1999). Partner conflict, in turn, has been found to be positively associated with depressive symptoms and medication non-adherence among the chronically ill (Molloy, Perkins-Porras, Strike, & Steptoe, 2008).
Privacy concerns in taking HAART, which may be indicative of perceived HIV stigma, have also been associated with non-adherence to HAART (Golin, Isasi, Bontempi, & Eng, 2002). In a multisite sample of drug-using, primarily African American, individuals, feeling comfortable taking HAART in the presence of others was associated with HAART adherence and viral suppression (Knowlton et al., 2007). In men in Baltimore, the study site, feeling comfortable taking HAART in the presence of close friends was associated with HAART adherence (Knowlton, Yang, Bohnert, Wissow, et al., 2010).
HIV seropositive and African American women are highly involved in caregiving for children and persons with HIV/AIDS (Turner, Catania, & Gagnon, 1994; Schuster, Kanouse, Morton, Bozzette, et al., 2000). Evidence suggests their caregiving roles may interfere with their medical adherence (Stein, Crystal, Cunningham, Ananthanarayanan, et al., 2000). HIV seropositive custodial parents of young children have been found to have worse medical adherence as compared to noncustodial parents or adults without children (Goldstein, Johnson, Rotheram-Borus, Kirshenbaum, et al., 2005).
The aim of the present study was to examine main partner factors, above and beyond individual level factors, associated with women's HAART adherence. We expected that similar to having custodial children, women's having an HIV seropositive partner would be indicative of caregiving for the partner, which would have negatively associated with HAART adherence.
METHODS
Sample selection
Baltimore has the second highest AIDS case rate of U.S. metropolitan areas (CDC, 2005), the vast majority of those with HIV/AIDS (89%) are African American; 38% are female, (Maryland AIDS Administration, 2008). HIV exposure among Baltimore females is primarily from heterosexual activity (47%) and injection drug use (32%) (Maryland AIDS Administration, 2008).
Data were from the ARK Study (n=462; 2002-2005) (Knowlton et al., 2010). Participants were recruited by street outreach and advertisement at local health and other service agencies. Surveys were administered by computer-assisted personal interviewing. Participants were compensated $25 for their time. Study approval was obtained from the Johns Hopkins Bloomberg School of Public Health Institutional Review Board.
Measures
The outcome measure was 7-day recall of HAART adherence (defined as ≥90% mean overall adherence of doses) which a prior study indicated was highly associated with medication event monitoring system (MEMS) assessed adherence and with viral load among substance users (Arnsten, Demas, Farzadegan, Grant, et al., 2001; Arnsten, et al., 2007).
Independent variables included a 6-item attitudes toward HAART,scale (Cronbach's alpha=0.77) (Arsten, et al., 2007), and depressive symptoms as assessed by the Centers for Epidemiological Studies Depression (CES-D) scale, using a cut-off score of 20 (Cronbach's alpha=0.91) (Radloff, 1977). Subjective cognitive impairment was measured by three items based on the Brief Symptoms Inventory (Derogatis & Spencer, 1982): frequency of having “had to do things very slowly to make sure you were doing them right,” “had trouble following or keeping up with a conversation,” and “had your mind go blank.” Scores were skewed so dichotomized about the median. Current drug use was defined as use of any of a list of drugs in the prior three months, excluding marijuana; and problem alcohol use as daily or binge drinking.
Main partner status was assessed by currently have a main partner, i.e., boy/girlfriend or spouse, and main partner's HIV serostatus, recoded as 1=have an HIV seropositive main partner versus 0=do not have a main partner or partner is HIV seronegative or of unknown serostatus. Partner characteristics assessed by participant report included history of heroin or cocaine use, closeness (rated on a 10-point scale), coresidence with the participant, and interpersonal conflict based on seven items of the revised Conflict Tactics Scale (Straus, Hamby, Boney-McCoy, & Sugarman, 1996) indicating interpersonal violence or threat of violence perpetrated by the participant or her partner (Cronbach's alpha =0.72).
A network inventory elicited names of perceived support network members, that is, those whom the participant could rely on for various forms of support. Items elicited names of perceived sources of emotional support (Who could you talk to about something personal or private?), health advice (Tardy, 1985; Barrera, 1980); and help received with getting medical care and taking medications. Prior research indicates good concurrent and predictive validity (Latkin, Mandell, & Vlahov, 1996). Dummy variables were created indicating whether main partners were nominated for each type of support. Additional name generating questions asked, “Who is the most helpful person to you in dealing with HIV?” and, “Who would you most prefer to help you with HIV?”
Data analysis
Chi-square tests, t-tests of continuous variables, and ANOVA were used to calculate unadjusted associations between adherence and independent variables. Variables chosen for inclusion in the simultaneous entry logistic regression analysis were education level and those significant at p<0.10 in bivariate analysis. Final model results are reported in adjusted odds ratios and 95% confidence intervals. Based on prior research (Cook et al., 2007), potential interactive effects between main partner status or participant drug use, and depressive symptoms on adherence were examined. To aid in interpretation of regression models, additional unadjusted analysis compared characteristics of HIV seropositive versus other status partners.
RESULTS
Sample description
Of ARK participants, 104 were women currently taking HAART, of whom,23% reported HAART non-adherence. Most were low educated African Americans who had a main partner; almost half reported current drug use (Table 1). Of main partners, the vast majority were male, had used hard drugs, over a quarter were HIV seropositive, and almost all knew the participant's HIV seropositive status. Participants reported a high level of closeness to their partner, and half lived together; yet only two-fifths of those with a main partner nominated their partner as someone they could rely on for emotional support, and approximately a quarter reported major conflict in the relationship.
Table 1.
Characteristics of women taking highly active antiretroviral therapy (HAART), and unadjusted associations with their HAART adherence (ARK study, Baltimore, MD, 2003-05).
| Full sample (n=104) N (%) | Adherent (≥90%) to HAART (N=80) N (%) | Non-adherent (<90%) to HAART (N=24) N (%) | |
|---|---|---|---|
| Age: mean (SD) | 43.1 (6.0) | 43.1 (5.9) | 42.9 (6.4) |
| Race/ethnicity: African American | 88 (85) | 66 (84) | 22 (92) |
| Education: ≥12th grade | 51 (49) | 42 (53) | 9 (38) |
| Current drug use# | 48 (46) | 38 (48) | 10 (42) |
| Cognitive impairment, subjective | 57 (55) | 38 (48) | 19 (79)** |
| Attitudes about HAART: mean (SD) | 17.06 (3.8) | 17.86 (3.4) | 14.38 (4.0)*** |
| Depressive symptoms: high (CES-D>20) | 53 (51) | 38 (48 ) | 15 (63) |
| Comfortable taking HAART in the presence of close friends or family | 75 (72) | 59 (74) | 16 (67) |
| Raising children <18 years | 16 (15) | 11 (14) | 5 (21) |
| Has a main partner | 66 (63) | 45 (56) | 21 (88)*** |
| Has an HIV+ main partner | 28 (27) | 16 (20) | 12 (50)** |
| Conflict with main partner: prior year$ | 27 (26) | 21 (26) | 6 (25) |
| Emotional support from partner: yes$ | 33 (32) | 19 (24) | 14 (58)*** |
In the prior 6 months
Includes only those who reported having a main partner
p<.01
p<.001
Unadjusted and adjusted analyses
Unadjusted analysis indicated that non-adherence was significantly associated with having an HIV seropositive main partner (versus no main partner or an other serostatus main partner) and perceived emotional support from the main sex partner (Table 1). Cognitive impairment and negative attitudes about HAART were also significant. A linear association between partner status and adherence was found, with adherence among those with no main partner (92%) being higher than those with an HIV seronegative or unknown status partner (76%), and lowest among those with an HIV seropositive partner (57%) (p<.001, Mantel-Haenszel [M-H] chi-square).
Adjusted analysis indicated that HAART adherence was negatively associated with having an HIV seropositive main partner (versus no partner or other status partner), having a sex partner as a perceived source of emotional support, and high subjective cognitive impairment (Table 2), even after adjusting for education and positive attitudes toward HAART. No interactive effects were found.
Table 2.
Adjusted odds of better adherence (≥90%) to HAART among women in the ARK study, Baltimore, MD, 2003-05 (n = 104).
| Independent variables | Adjusted odds ratios | 95% confidence intervals |
|---|---|---|
| Education: ≥12th grade | 1.81 | 0.55, 6.02 |
| Attitudes toward HAART: positive | 1.39* | 1.12, 1.72 |
| Cognitive impairment, subjective: high | 0.17* | 0.04, 0.74 |
| Has an HIV+ main partner# | 0.25* | 0.07, 0.94 |
| Emotional support from sex partner: yes | 0.12* | 0.03, 0.49 |
< 0.05
Compared to women who did not have a main partner or whose main partner was HIV seronegative or of unknown serostatus.
Additional analysis revealed that HIV seropositive versus other status main partners were more likely to live with participants, to be perceived as a source of health advice, and to assist with medication taking (Table 3). And while HIV seropositive partners were more likely to be nominated as the person most preferred for HIV-related help, they were no more likely than other status partners to be nominated as the most helpful person to them in dealing with HIV.
Table 3.
Unadjusted comparisons of characteristics of HIV seropositive main partners versus HIV seronegative or serostatus unknown main partners of women taking HAART in the ARK study (n=66; Baltimore, MD, 2003-05).
| Full sample of women with main partners (n=66) N (%) | HIV+ partner (n=28) N (%) | HIV- or unknown status partner (n=38) N (%) | |
|---|---|---|---|
| Partner ever used heroin or cocaine | 46 (70) | 21 (75) | 25 (66) |
| Partner lives with participant | 33 (50) | 20 (71) | 13 (34)** |
| Partner knows participant's HIV+ serostatus | 63 (95) | 27 (96) | 36 (95) |
| Closeness to partner (1-10; 10=very close): Mean (SD) | 9.56 (1.29) | 9.71 (0.85) | 9.45 (1.54) |
| Partner gives health advice | 16 (24) | 13 (46) | 3 (8)*** |
| Partner helps participant with medical care | 32 (48) | 17 (61) | 15 (39)+ |
| Partner helps participant with medication taking | 35 (53) | 19 (68) | 16 (42)* |
| Partner is most helpful for participant's dealing with HIV | 23 (35) | 7 (25) | 16 (42) |
| Partner is person participant prefers to get HIV help from | 35 (53) | 19 (68) | 16 (42)* |
p<. 10
p<.05
p<.01
p<.001
DISCUSSION
The study findings suggest that main partners played a role in HAART non-adherence among a sample of US women. Study results indicated a strong linear association between partner status and adherence, with adherence among those with no main partner being higher than those with an HIV seronegative or unknown status partner, which in turn was higher than those with an HIV seropositive main partner. Adjusted analysis indicated adherence was 75% less likely among women with an HIV seropositive versus no or other status main partner, 78% less likely among those whose partner was perceived a main source of emotional support, and 83% less likely among those reporting high cognitive impairment.
The study findings contribute to theoretical understandings of mechanisms through which main partners may influence health. This study represents one of the few to link main partner factors with medical adherence behaviors (Molloy, et al., 2008).
The finding on self-reported cognitive impairment indicates the need for greater attention to its assessment and to adherence intervention for those so impaired.
Relationship qualities and adherence
Study participants reported a high level of closeness, though two-fifths reported conflict, with their main partners. Interestingly, higher quality of the main partner relationship, as indicated by perceived emotional support from one's main partner, was associated with worse adherence. While it is possible that the findings were confounded by conflictive relationships or chaotic lifestyles, there was no evidence of that; no associations were found between partner serostatus and relationship conflict, partners’ drug use, or relationship closeness. Further research is needed to examine additional contextual factors of women, their partners, and their relationships that may help explain study findings. It is plausible that greater perceived emotional support from partners among non-adherent participants is an artifact of their poorer health status and greater normative expectation of emotional support from partners, especially those living with them.
The findings also underscore the need for greater understanding of ways in which interpersonal support transactions may affect HAART adherence (Wrubel, Stumbo, & Johnson, 2008). Evidence suggests that social support of HIV medical adherence comprises a wide range of interpersonal behaviors (Wrubel et al., 2008), and that the manner in which support is offered affects its impact on health outcomes. Support that is ambiguous, inadequate, offered in a controlling or harassing manner, or mismatched relative to need or expectation may invoke stress that counteracts its potential health benefits (Newsom, Rook, Nishishiba, Sorkin, & Mahan, 2005).
Gender roles and unmet support needs
Gender roles and gender role conflicts may also help explain study findings. Women's caregiving roles, and competing priorities they engender, may impede their ability to management their illness or to obtain social support important to medical adherence. As a consequence, women may be more attentive to their partner's health needs than their own. Results of a national study suggest that caring for children is associated with women's delaying HIV medical care (Stein, et al., 2000). African American women compared to men and other racial groups provide disproportionately high levels of informal caregiving, including for HIV/AIDS (Turner, et al., 1994; Knowlton, 2003). The present study findings are consistent with prior evidence suggesting informal HIV caregiving exacts considerable costs on caregivers’ physical health, and other resources, particularly for caregivers living with HIV/AIDS (Leblanc, London, & Aneshensel, 1997; Kipp, Tindyebwa, Rubaale, Karamagi, & Bajenja, 2007).
The study results suggest that direct assistance with HIV medication taking is not highly normative in the study population, and for women is offered primarily within main partner relationships. Only 36% of the sample reported receiving such assistance from partners, friends, or family in the prior year. However, over half (53%) of those with a main partner, and 68% among those with an HIV seropositive partner, reported medication taking assistance. It is plausible that HIV seropositive partners’ greater provision of adherence assistance is explained by their better understanding of the importance of or concern about adherence; yet the assistance appears to be ineffective in optimizing adherence.
The findings indicate women's unmet expectations of HIV support and caregiving from their main partners. Of those with a main partner, while 53% said they most preferred their partner provide them HIV-related support, only 35% reported their partner actually was the main person providing them HIV support. This difference was even greater among those with an HIV seropositive partner (68% and 32%, respectively). Also of note, only about half of women with a main partner perceived their partner as a source of emotional support. The findings are consistent with results of a prior national study of gender and racial differences in perceived availability of informal care among middle aged and older adults, and thus may reflect cultural norms. In that study, main partners were the most likely perceived informal caregivers for all groups except for African American women, who reported their daughters were (or were most likely to be) their caregivers (Roth, Haley, Wadley, Clay, & Howard, 2007). The high expectation of partner support in the present study may be indicative of lack of availability of alternative sources of support or care in the study population.
Gender differences in partner factors associated with HAART adherence
Further research is needed to examine gender differences in support networks and functioning and its relation to HAART adherence (Lingler, Sherwood, Crighton, Song, & Happ, 2008; Mitrani, Weiss-Laxer, Ow, Burns, et al., 2009). In a study of HAART adherence among Baltimore men, having informal care was strongly positively associated with having a main partner and with HAART adherence (Knowlton et al., 2010). The findings are consistent with results of an Italian study indicating the gender differences in relationship orientation were differentially associated with HAART adherence (Ubbiali, Donati, Chiorri, Bregani, et al., 2008). These results add to the extensive literature indicating men's as compared to women's greater health benefits of having a main partner (Kiecolt-Glaser, 2001), and suggest that gender differences in partner support and caregiving effects on medical adherence may help explain these differential health benefits of partners.
Study limitations
Limitations of the study include the exclusive use of self-report data, which is associated with recall bias and socially desirable responding, and the cross-sectional study design which impedes an ability to infer causal directions of associations. The study is also limited by potential selection bias and a limited sample size. The sample was comprised of women in Baltimore who reported taking HAART. Women with challenges accessing and continuing HAART, which contribute to U.S. women's HIV health disparities, were under-represented in the sample.
Implications to intervention
Main partner relationships of HIV seropositive persons have gained attention regarding their role in HIV prevention (El-Bassel, Jemmott, Landis, Pequegnat, et al., 2010). The study findings reveal the role of main partners in (African American) women's HAART adherence as well. The results suggest that partner-focused intervention, particularly targeting HIV seroconcordant main partners and those experiencing cognitive impairment, to facilitate effective HIV support may be important for improving women's HAART adherence (Lewis, McBride, Pollack, Puleo, et al., 2006; Remien, Stirratt, Dolezal, Dognin, et al., 2005). Promoting effective HIV support from male partners not traditionally involved in informal caregiving may have implications to U.S. gender disparities in HIV health outcomes.
Footnotes
Prior presentation: This data was presented at the national conference of the Society for Prevention Research, Washington, D.C., May 28, 2009.
Disclosure: The study was supported by National Institute on Drug Abuse grants R01 DA019413-01A2 and R01 DA13142-01A1. The authors thank Carl Latkin for his support.
Conflicts of interest: none.
References
- Andersen R, Bozzette S, Shapiro M, St Clair P, Morton S, Crystal S, Goldman D, Wenger N, Gifford A, Leibowitz A, Asch S, Berry S, Nakazono T, Heslin K, Cunningham W. Access of vulnerable groups to antiretroviral therapy among persons in care for HIV disease in the United States. HCSUS Consortium. HIV Cost and Services Utilization Study. Health Services Research. 2000;35:389–416. [PMC free article] [PubMed] [Google Scholar]
- Arnsten JH, Demas PA, Farzadegan H, Grant RW, Gourevitch MN, Chang CJ, Buono D, Eckholdt H, Howard AA, Schoenbaum EE. Antiretroviral therapy adherence and viral suppression in HIV-infected drug users: Comparison of self-report and electronic monitoring. Clinical Infectious Diseases. 2001;33:1417–23. doi: 10.1086/323201. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Arnsten JH, Li X, Mizuno Y, Knowlton AR, Gourevitch MN, Handley K, Knight KR, Metsch LR. Factors associated with antiretroviral therapy adherence and medication errors among HIV-infected injection drug users. Journal of Acquired Immune Deficiency Syndromes. 2007;46(Suppl.):64–S71. doi: 10.1097/QAI.0b013e31815767d6. [DOI] [PubMed] [Google Scholar]
- Barrera M. A method for assessing social support networks in community survey research. Connections. 1980;3:8–13. [Google Scholar]
- Bolger N, Foster M, Vinokur AD, Ng R. Close relationships and adjustment to a life crisis: the case of breast cancer. Journal of Personality and Social Psychology. 1996;70:283–94. doi: 10.1037//0022-3514.70.2.283. [DOI] [PubMed] [Google Scholar]
- Bozzette SA, Berry SH, Duan N, Frankel MR, Leibowitz AA, Lefkowitz D, Emmons CA, Senterfitt JW, Berk ML, Morton SC, Shapiro MF. The care of HIV-infected adults in the United States: HIV Cost and Services Utilization Study consortium. New England Journal of Medicine. 1998;339:1897–904. doi: 10.1056/NEJM199812243392606. [DOI] [PubMed] [Google Scholar]
- Carrieri MP, Chesney MA, Spire B, Loundou A, Sobel A, Lepeu G, Moatti JP. Failure to maintain adherence to HAART in a cohort of French HIV-positive injecting drug users. International Journal of Behavioral Medicine. 2003;10:1–14. doi: 10.1207/s15327558ijbm1001_01. [DOI] [PubMed] [Google Scholar]
- Centers for Disease Control and Prevention 2005 HIV/AIDS Surveillance Report (Vol. 17, Revised). CDC HIV/AIDS Facts [On-line] 2007 Available: http://www cdc gov/hiv/resources/factsheets/PDF/datarevision_factsheet pdf.
- Centers for Disease Control and Prevention . Sexually transmitted disease surveillance. US Department of Health and Human Services; Atlanta, GA: 2005. 2004. [Google Scholar]
- Cook JA, Grey DD, Burke-Miller JK, Cohen MH, Vlahov D, Kapadia F, Wilson TE, Cook R, Schwartz RM, Golub ET, Anastos K, Ponath C, Goparaju L, Levine AM. Illicit drug use, depression and their association with highly active antiretroviral therapy in HIV-positive women. Drug and Alcohol Dependence. 2007;89:74–81. doi: 10.1016/j.drugalcdep.2006.12.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Derogatis LR, Spencer MS. The Brief Symptom Inventory (BSI): Administration, scoring, and procedural manual -1. John Wiley; Baltimore: 1982. [Google Scholar]
- Di Matteo MR. Social support and patient adherence to medical treatment: a meta-analysis. Health Psychology. 2004;23:207–18. doi: 10.1037/0278-6133.23.2.207. [DOI] [PubMed] [Google Scholar]
- El-Bassel N, Jemmott JB, Landis JR, Pequegnat W, Wingood GM, Wyatt GE, Bellamy SL, NIMH Multisite HIV/STD Prevention Trial for African American Couples Group et al. National Institute of Mental Health Multisite Eban HIV/STD prevention intervention for African American HIV serodiscordant couples: A cluster randomized trial. Archives of Internal Medicine. 2010;170:1594–601. doi: 10.1001/archinternmed.2010.261. Epub 2010 Jul 12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Gebo KA, Fleishman JA, Conviser R, Reilly ED, Korthuis PT, Moore RD, Hellinger J, Keiser P, Rubin HR, Crane L, Hellinger FJ, Mathews WC. Racial and gender disparities in receipt of highly active antiretroviral therapy persist in a multistate sample of HIV patients in 2001. Journal of Acquired Immune Deficiency Syndromes. 2005;38:96–103. doi: 10.1097/00126334-200501010-00017. [DOI] [PubMed] [Google Scholar]
- Goldstein RB, Johnson MO, Rotheram-Borus MJ, Kirshenbaum SB, Pinto RM, Kittel L, Pequegnat W, Mickalian JD, Weinhardt LS, Kelly JA, Lightfoot M. Psychological distress, substance use, and adjustment among parents living with HIV. Journal of the American Board of Family Practice. 2005;18:362–73. doi: 10.3122/jabfm.18.5.362. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Golin C, Isasi F, Bontempi JB, Eng E. Secret pills: HIV-positive patients’ experiences taking antiretroviral therapy in North Carolina. AIDS Education and Prevention. 2002;14:318–29. doi: 10.1521/aeap.14.5.318.23870. [DOI] [PubMed] [Google Scholar]
- Hinkin CH, Castellon SA, Durvasula RS, Hardy DJ, Lam MN, Mason KI, Thrasher D, Goetz MB, Stefaniak M. Medication adherence among HIV+ adults: Effects of cognitive dysfunction and regimen complexity. Neurology. 2002;59:1944–50. doi: 10.1212/01.wnl.0000038347.48137.67. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Johnson MO, Catz SL, Remien RH, Rotheram-Borus MJ, Morin SF, Charlebois E, Gore-Felton C, Goldsten RB, Wolfe H, Lightfoot M, Chesney MA. Theory-guided, empirically supported avenues for intervention on HIV medication nonadherence: Findings from the Healthy Living Project. AIDS Patient Care and STDs. 2003;17:645–56. doi: 10.1089/108729103771928708. [DOI] [PubMed] [Google Scholar]
- Johnson NJ, Backlund E, Sorlie PD, Loveless CA. Marital status and mortality: The national longitudinal mortality study. Annals of Epidemiology. 2000;10:224–38. doi: 10.1016/s1047-2797(99)00052-6. [DOI] [PubMed] [Google Scholar]
- Kerr T, Walsh J, Lloyd-Smith E, Wood E. Measuring adherence to highly active antiretroviral therapy: Implications for research and practice. Current HIV/AIDS Report. 2005;2:200–205. doi: 10.1007/s11904-005-0017-3. [DOI] [PubMed] [Google Scholar]
- Kiecolt-Glaser JK, Newton TL. Marriage and health: His and hers. Psychological Bulletin. 2001;127:472–503. doi: 10.1037/0033-2909.127.4.472. [DOI] [PubMed] [Google Scholar]
- Kipp W, Tindyebwa D, Rubaale T, Karamagi E, Bajenja E. Family caregivers in rural Uganda: The hidden reality. Health Care for Women International. 2007;28:856–71. doi: 10.1080/07399330701615275. [DOI] [PubMed] [Google Scholar]
- Knowlton AR. Informal HIV caregiving in a vulnerable population: Toward a network resource framework. Social Science and Medicine. 2003;56:1307–20. doi: 10.1016/s0277-9536(02)00130-2. [DOI] [PubMed] [Google Scholar]
- Knowlton AR, Arnsten JH, Gourevitch MN, Eldred L, Wilkinson JD, Rose CD, Buchanan A, Purcell DW. Microsocial environmental influences on highly active antiretroviral therapy outcomes among active injection drug users: The role of informal caregiving and household factors. Journal of Acquired Immune Deficiency Syndromes. 2007;46(Suppl 2):S110–S119. doi: 10.1097/QAI.0b013e31815767f8. [DOI] [PubMed] [Google Scholar]
- Knowlton AR, Hua W, Latkin CA. Social support among HIV positive injection drug users: Implications to integrated intervention. AIDS and Behavior. 2004;8:357–63. doi: 10.1007/s10461-004-7320-7. [DOI] [PubMed] [Google Scholar]
- Knowlton AR, Yang C, Bohnert A, Wissow L, Chander G, Arnsten JA. Informal care and reciprocity of support are associated with HAART adherence among U.S. men. AIDS and Behavior. 2010 Jul 15; doi: 10.1007/s10461-010-9749-1. Epub ahead of print. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Latkin CA, Mandell W, Vlahov D. The relationship between risk networks’ patterns of crack cocaine and alcohol consumption and HIV-related sexual behaviors among adult injection drug users: A prospective study. Drug and Alcohol Dependence. 1996;42:175–81. doi: 10.1016/s0376-8716(96)01279-3. [DOI] [PubMed] [Google Scholar]
- Leblanc AJ, London AS, Aneshensel CS. The physical costs of AIDS caregiving. Social Science and Medicine. 1997;45:915–23. doi: 10.1016/s0277-9536(97)00002-6. [DOI] [PubMed] [Google Scholar]
- Leserman J, Petitto JM, Gu H, Gaynes BN, Barroso J, Golden RN, Perkins DO, Folds JD, Evans DL. Progression to AIDS, a clinical AIDS condition and mortality: Psychosocial and physiological predictors. Psychological Medicine. 2002;32:1059–73. doi: 10.1017/s0033291702005949. [DOI] [PubMed] [Google Scholar]
- Lewis MA, McBride CM, Pollak KI, Puleo E, Butterfield RM, Emmons KM. Understanding health behavior change among couples: An interdependence and communal coping approach. Social Science and Medicine. 2006;62:1369–80. doi: 10.1016/j.socscimed.2005.08.006. [DOI] [PubMed] [Google Scholar]
- Lingler JH, Sherwood PR, Crighton MH, Song MK, Happ MB. Conceptual challenges in the study of caregiver-care recipient relationships. Nursing Research. 2008;57:367–72. doi: 10.1097/01.NNR.0000313499.99851.0c. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Losina E, Schackman BR, Sadownik SN, Gebo KA, Walensky RP, Chiosi JJ, et al. Racial and sex disparities in life expectancy losses among HIV-infected persons in the United States: Impact of risk behavior, late initiation, and early discontinuation of antiretroviral therapy. Clinical Infectious Diseases. 2009;49:1570–1578. doi: 10.1086/644772. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Maryland AIDS Administration Maryland HIV/AIDS epidemiological profile. Maryland Department of Health and Mental Hygiene. 2008 Accessed at: http://www.dhmh.state.md.us/AIDS/Data&Statistics/prof0608city.pdf.
- Mitrani VB, Weiss-Laxer NS, Ow CE, Burns MJ, Ross-Russell S, Feaster DJ. Examining family networks of HIV+ women in drug recovery: Challenges and opportunities. Families, Systems, and Health. 2009;27:267–83. doi: 10.1037/a0017116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Molloy GJ, Perkins-Porras L, Strike PC, Steptoe A. Social networks and partner stress as predictors of adherence to medication, rehabilitation attendance, and quality of life following acute coronary syndrome. Health Psychology. 2008;27:52–58. doi: 10.1037/0278-6133.27.1.52. [DOI] [PubMed] [Google Scholar]
- Molloy GJ, Stamatakis E, Randall G, Hamer M. Marital status, gender and cardiovascular mortality: Behavioural, psychological distress and metabolic explanations. Social Science and Medicine. 2009;69:223–8. doi: 10.1016/j.socscimed.2009.05.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Newsom JT, Rook KS, Nishishiba M, Sorkin DH, Mahan TL. Understanding the relative importance of positive and negative social exchanges: Examining specific domains and appraisals. The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences. 2005;60:304–12. doi: 10.1093/geronb/60.6.p304. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Northouse LL, Templin T, Mood D, Oberst M. Couples’ adjustment to breast cancer and benign breast disease: A longitudinal analysis. Psycho-Oncology. 1998;7:37–48. doi: 10.1002/(SICI)1099-1611(199801/02)7:1<37::AID-PON314>3.0.CO;2-#. [DOI] [PubMed] [Google Scholar]
- Pence BW, Miller WC, Gaynes BN, Eron JJ., Jr. Psychiatric illness and virologic response in patients initiating highly active antiretroviral therapy. Journal of Acquired Immune Deficiency Syndromes. 2007;44:159–66. doi: 10.1097/QAI.0b013e31802c2f51. [DOI] [PubMed] [Google Scholar]
- Perez-Hoyos S, Rodriguez-Arenas MA, Garcia dlH, Iribarren JA, Moreno S, Viciana P, Pena A, Gomez Sirvent JL, Saumoy M, Lacruz J, Padilla S, Oteo JA, Asencio R, del Amo J. Progression to AIDS and death and response to HAART in men and women from a multicenter hospital-based cohort. Journal of Women's Health. 2007;16:1052–61. doi: 10.1089/jwh.2007.0437. [DOI] [PubMed] [Google Scholar]
- Persson L, Ostgergren PO, Hanson BS, Lindgren A, Naucler A. Social network, social support and the rate of decline of CD4 lymphocytes in asymptomatic HIV-positive homosexual men. Scandinavian Journal of Public Health. 2002;30:184–90. doi: 10.1080/14034940210133870. [DOI] [PubMed] [Google Scholar]
- Protopopescu C, Raffi F, Roux P, Reynes J, Dellamonica P, Spire B, Leport C, Carrieri MP, ANRS CO8 APROCO-COPILOTE Study Group Factors associated with non-adherence to long-term highly active antiretroviral therapy: A 10 year follow-up analysis with correction for the bias induced by missing data. Journal of Antimicrobial Chemotherapy. 2009;64:599–606. doi: 10.1093/jac/dkp232. [DOI] [PubMed] [Google Scholar]
- Radloff LS. The CES-D Scale: A self-report depression scale for research in the general population. Applied Psychological Measurement. 1977;1:385–401. [Google Scholar]
- Remien RH, Stirratt MJ, Dolezal C, Dognin JS, Wagner GJ, Carballo-Dieguez A, El Bassel N, Jung TM. Couple-focused support to improve HIV medication adherence: A randomized controlled trial. AIDS. 2005;19:807–14. doi: 10.1097/01.aids.0000168975.44219.45. [DOI] [PubMed] [Google Scholar]
- Roth DL, Haley WE, Wadley VG, Clay OJ, Howard G. Race and gender differences in perceived caregiver availability for community-dwelling middle-aged and older adults. Gerontologist. 2007;47:721–29. doi: 10.1093/geront/47.6.721. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sacktor N, McDermott MP, Marder K, Schifitto G, Selnes OA, McArthur JC, Stern Y, Albert S, Palumbo D, Kieburtz K, De Marcaida JA, Cohen B, Epstein L. HIV-associated cognitive impairment before and after the advent of combination therapy. Journal of Neurovirology. 2002;8:136–42. doi: 10.1080/13550280290049615. [DOI] [PubMed] [Google Scholar]
- Schuster MA, Kanouse DE, Morton SC, Bozzette SA, Miu A, Scott GB, Shapiro MF. HIV-Infected parents and their children in the United States. American Journal of Public Health. 2000;90:1074–81. doi: 10.2105/ajph.90.7.1074. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Stein MD, Crystal S, Cunningham WE, Ananthanarayanan A, Andersen RM, Turner BJ, Zierler S, Morton S, Katz MH, Bozzette SA, Shapiro MF, Schuster MA. Delays in seeking HIV care due to competing caregiver responsibilities. American Journal of Public Health. 2000;90:1138–40. doi: 10.2105/ajph.90.7.1138. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sterk CE. Fast lives: Women who use crack cocaine. Temple University Press; Philadelphia: 1999. [Google Scholar]
- Stern Y, McDermott MP, Albert S, Palumbo D, Selnes OA, McArthur J, Sacktor N, Schifitto G, Kieburtz K, Epstein L, Marder KS. Factors associated with incident human immunodeficiency virus-dementia. Archives of Neurology. 2001;58:473–79. doi: 10.1001/archneur.58.3.473. [DOI] [PubMed] [Google Scholar]
- Straus MA, Hamby SL, Boney-McCoy S, Sugarman DB. The revised Conflict Tactics Scales (CTS2) - Development and preliminary psychometric data. Journal of Family Issues. 1996;17:283–316. [Google Scholar]
- Tardy CH. Social support measurement. American Journal of Community Psychology. 1985;13:187–202. [Google Scholar]
- Tedaldi EM, Absalon J, Thomas AJ, Shlay JC, Berg-Wolf M. Ethnicity, race, and gender. Differences in serious adverse events among participants in an antiretroviral initiation trial: results of CPCRA 058 (FIRST Study). Journal of Acquired Immune Deficiency Syndromes. 2008;47:441–48. doi: 10.1097/QAI.0b013e3181609da8. [DOI] [PubMed] [Google Scholar]
- Turner HA, Catania JA, Gagnon J. The prevalence of informal caregiving to persons with AIDS in the United-States: Caregiver characteristics and their implications. Social Science and Medicine. 1994;38:1543–52. doi: 10.1016/0277-9536(94)90116-3. [DOI] [PubMed] [Google Scholar]
- Turner-Musa J, Leidner D, Simmens S, Reiss D, Kimmel PL, Holder B. Family structure and patient survival in an African-American end-stage renal disease population: A preliminary investigation. Social Science and Medicine. 1999;48:1333–40. doi: 10.1016/s0277-9536(98)00437-7. [DOI] [PubMed] [Google Scholar]
- Ubbiali A, Donati D, Chiorri C, Bregani V, Cattaneo E, Maffei C, Visintini R. Prediction of adherence to antiretroviral therapy: Can patients’ gender play some role? An Italian pilot study. AIDS Care. 2008;20:571–75. doi: 10.1080/09540120701867172. [DOI] [PubMed] [Google Scholar]
- Wrubel J, Stumbo S, Johnson MO. Antiretroviral medication support practices among partners of men who have sex with men: A qualitative study. AIDS Patient Care and STDs. 2008;22:851–58. doi: 10.1089/apc.2008.0037. [DOI] [PMC free article] [PubMed] [Google Scholar]
