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. Author manuscript; available in PMC: 2015 Oct 7.
Published in final edited form as: AIDS Care. 2015 Mar 27;27(9):1079–1086. doi: 10.1080/09540121.2015.1026308

Determinants of physical and global functioning in adult HIV-positive heterosexual men

Krupa Shah 1, James M McMahon 2, Nicole Trabold 3, Angela A Aidala 4, Michael Chen 5, Enrique R Pouget 6, Janie Simmons 7, Keith Klostermann 8
PMCID: PMC4584165  NIHMSID: NIHMS670967  PMID: 25812466

Abstract

Little is known about the psychosocial factors that might impact the functioning ability of heterosexual men living with HIV. We examined positive and negative coping, social support, and HIV stigma as predictors of physical and global functioning in a cross-sectional sample of 317 HIV-infected adult heterosexual male patients recruited from clinical and social service agencies in New York City. Study participants were primarily minority and low income. Sixty-four percent were African-American, 55% were single, and 90% were 40 years of age or older. The majority had long-term HIV (LTHIV), with an average duration of 15 years since diagnosis. After controlling for participant characteristics, structural equation modelling analyses revealed that positive coping and social support had a significant positive direct effect on global functioning, while stigma had a significant negative direct effect on global functioning. The physical functioning model revealed that negative coping and HIV stigma had significant negative direct effects, whereas social support had a significant positive indirect effect. Age and duration of HIV diagnosis were not associated with physical and global functioning. In conclusion, we found that heterosexual men living with LTHIV who have ineffective coping, less social support, and greater stigma have reduced functioning ability. Study findings have implications for developing interventions aimed at increasing and retaining functioning ability with the end goal of improving successful aging in this population.

Keywords: social support, coping skills, stigma, physical and global functioning HIV, heterosexual men

Introduction

People living with HIV (PLWH) have reduced functioning ability and are at increased risk of functional decline even at younger ages (Desquilbet et al., 2007; Effros et al., 2008; Onen & Overton, 2011). While recent research on HIV and functioning ability that was mainly focused on gay men suggests an important role for psychosocial factors, such as coping skills, social support, and HIV/AIDS stigma (Lyons, Pitts, & Grierson, 2012; Lyons, Pitts, Grierson, Thorpe, & Power, 2010; Rosenfeld, Bartlam, & Smith, 2012; Slater et al., 2013, 2014), less is known about the impact of these factors on functioning ability among PLWH who are heterosexual, or who are living with long-term HIV infection (LTHIV). Coping is a self-monitoring effort directed at reducing the adverse consequences of stressors (Compas, Connor-Smith, Saltzman, Thomsen, & Wadsworth, 2001; Connor-Smith, Compas, Wadsworth, Thomsen, & Saltzman, 2000). Two categories of coping that can be useful for research on PLWH are positive coping—engaging with the source of stress and adapting to the situation, and negative coping—disengaging through avoidance and denial. Generally, using positive coping is associated with less depression, and using negative coping is associated with more depression among PLWH (Rodkjaer et al., 2014; Varni, Miller, McCuin, & Solomon, 2012; Yeji et al., 2014). Low social support among PLWH can translate into negative HIV-related health outcomes, including mortality (Ashton et al., 2005; Greysen et al., 2013). Since social support can provide resources that help individuals perform daily tasks (Shippy & Karpiak, 2005), it should also be associated with improved functioning ability. PLWH often experience HIV/AIDS-related stigma, which can isolate them from supportive networks (Sayles et al., 2008).

The present study tested a coping, social support and HIV stigma model of functioning ability in a sample of adult heterosexual men living with LTHIV. A better understanding of the risk and protective factors could inform the development of more effective interventions to improve and retain functioning ability of heterosexual PLWH.

Methods

Sampling, eligibility and recruitment procedures

Study data were from the “Men’s Talk on HIV Risk” (MENTOR) Project, a cross-sectional retrospective survey of 317 heterosexual African American and Latino men with self-reported HIV/AIDS, recruited through a random sample of 76 health and social services agencies in Harlem and the South Bronx, NY, from 2011 to 2012. Eligibility criteria were: (1) male, (2) HIV-positive by self-report, (3) aged 18–60, (4) conversant in English or Spanish, (5) self-identified as heterosexual, and (6) had vaginal or anal sex with a woman in the last three months. All participants signed an IRB-approved informed consent form and were compensated $50 USD. Structured quantitative interviews were administered in either English or Spanish by trained bilingual interviewers using computer-assisted personal interview (CAPI) software (QDS ver. 6.2.1, Nova Research) in a private office.

Outcome measures

Physical and global functioning

The Revised Functional Assessment of Human Immunodeficiency Virus Infection (R-FAHI) quality of life (QoL) instrument was used to examine functioning ability outcomes (Peterman, Cella, Mo, & McCain, 1997). Two R-FAHI subscales were measured: (1) physical functioning ability (7 items selected from 12), which taps into a physical functioning construct incorporating pain, fatigue, and illness; and (2) global functioning ability (7 items selected from 13), which encompasses work and life satisfaction, ability, motivation and contentment. Cronbach’s alpha reliability analysis showed that the scales were internally consistent, with values of 0.83 and 0.81, respectively.

Predictors

Manifest variables included age and years since diagnosis. Latent variables were measured using the following scales: Coping with HIV: Concerns and Coping with HIV Scale (Jenkins & Guarnaccia, 2003) contains 22 items measuring the frequency of thoughts, feelings and behaviors in response to receiving an HIV diagnosis. A subset of 17 items were selected and categorized as either positive coping (11 items) or negative coping (6 items). Cronbach’s alpha values were 0.89 and 0.67, respectively. Scores on the two factors were not highly correlated (r = −0.09, p=0.08). Social support: Revised Lubben Social Support scale (Lubben, 2004) contains 12 items assessing the numbers of friends and family members with whom respondents are in contact, and with whom they have close social ties. Cronbach’s alpha was 0.81. HIV-related stigma: We adopted the HIV Stigma scale (Sayles et al., 2008) using 12 items to assess internalized stigma related to being HIV-positive. Cronbach’s alpha was 0.82.

Covariates

The following covariates were included in all models: race/ethnicity, level of education, employment status, marital/relationship status, stability of housing, current drug use, and self-reported CD4 levels from their most recent CD4 test.

Statistical Analysis

We developed structural equation models (SEMs) to assess physical functioning and global functioning conceptual models (Fig. 1) using Mplus (ver. 7.22) software, with maximum likelihood estimation and unstructured correlation matrices. Regression-based single imputation was used to remedy <1% missing data. Results of sensitivity analysis comparing models with and without imputed data were similar. No multicollinearity was revealed among independent variables based on variance inflation factors. Final models were selected based on theoretical soundness and empirical support from the literature.

Figure 1.

Figure 1

Conceptual model showing determinants of HIV-related functioning outcomes.

Results

A total of 314 heterosexual men who reported HIV-positive status completed the assessment (3 enrollees had mostly incomplete data and were removed). Table 1 presents participant characteristics. The correlation between the two latent outcome variables, physical functioning and global functioning, was modest (r=0.17, p<0.001).

Table 1.

Description of study sample and standardized coefficients of bivariate associations with physical and global functioning.

Characteristic N (%) Physical Functioning Beta coefficient (95% confidence interval) Global Functioning Beta coefficient (95% confidence interval)

Age 314
Mean=47.65 (Std Dev 6.61), Range 20–59
0.038 (−0.082, 0.158) 0.112 (−0.010, 0.234)
Age Group
 20–29 9 (2.87)
 30–39 23 (7.32)
 40–49 137 (43.63)
 50–59 145 (46.18)

Race/ethnicitya 317
 Hispanic/Latino 94 (29.7) Reference Reference
 Black/AA 204 (64.4) 0.143* (0.019, 0.267) 0.045 (−0.083, 0.173)
 White 6 (1.9) 0.039 (−0.085, 0.163) 0.000 (−0.128, 0.128)
 Mixed Race/Other 13 (4.1)

Education (highest) 314
 Less than high school 110 (35.0) Reference Reference
 High school or equivalent 172 (54.8) −0.016 (−0.146, 0.114) −0.081 (−0.211, 0.049)
 College graduate or higher 32 (10.2) 0.004 (−0.126, 0.134) 0.002 (−0.130, 0.134)

Marital Status 314
 Single 267 (85.0) Reference Reference
 Married 47 (15.0) −0.001 (−0.121, 0.119) 0.142* (0.022, 0.262)

Relationship Status 314
 No main female sexual partner 192 (61.2) Reference Reference
 Has main female sexual partner 122 (38.8) −0.002 (−0.122, 0.118) 0.052 (−0.062, 0.166)

Employment Status 314
 Unemployed/disabled/retired 286 (91.1) Reference Reference
 Employed or self-employed 28 (8.9) −0.043 (−0.163, 0.077) 0.097 (−0.025, 0.219)

Housing Status 314
 Unstable housing 203 (64.6) Reference Reference
 Stable housing 111 (35.4) −0.039 (−0.159, 0.081) 0.071 (−0.051, 0.193)

Any illicit drug use past 6 months 314
 No 170 (53.5) Reference Reference
 Yes 144 (46.5) −0.086 (−0.206, 0.034) 0.219*** (−0.337, −0.101)

Years since HIV diagnosis: 317
Mean=15.0 (Std Dev 7.1), Range 0.23, 30.3
−0.086 (−0.206, 0.034) 0.045 (−0.077, 0.167)
CD4 count 315 0.086 (−0.034, 0.206) 0.079 (−0.043, 0.201)
a

White and mixed race/other collapsed into a single category for bivariate analysis

*

p<0.05

**

p<0.01

***

p<0.001

Model of physical functioning

As shown in Table 2 and Figure 2, higher levels of negative coping and stigma were associated with lower levels of physical functioning. In addition, social support had a significant positive effect on physical functioning, but only indirectly through HIV-related stigma. PLWH with higher social support tended to report less HIV-related stigma, which in turn led to better physical functioning outcomes. Age and years since HIV diagnosis showed no evidence of an association with physical functioning, although each was related to positive coping. Contrary to our conceptual model, positive coping did not have a direct effect on physical functioning. None of the covariates were significantly associated with physical functioning.

Table 2.

Full model SEM with direct, indirect (mediational), and total effects of independent variables and covariates on HIV-related physical functioning

Variables Standardized beta coefficients

Independent Variables (IV) Mediator 1 Mediator 2 IV on mediator 1 Mediator 1 on DV Mediator 1 on 2 Mediator 2 on DV Indirect effects Direct effects Total effects
 Age 0.032 0.000 0.032
 Age Coping positive 0.117* 0.010 0.001
 Age Coping negative −0.010 −0.147* 0.002
 Age Social support 0.100 0.014 0.001
 Age Stigma −0.067 −0.273*** 0.018
 Age Social support Coping positive 0.100 0.153* 0.010 0.000
 Age Social support Coping negative 0.100 −0.187* −0.147* 0.003
 Age Social support Stigma 0.100 −0.254*** −0.273*** 0.007
 Years since diagnosis 0.019 −0.091 −0.072
 Years since diagnosis Coping positive −0.243*** 0.010 −0.003
 Years since diagnosis Coping negative 0.040 −0.147* −0.006
 Years since diagnosis Social support −0.028 0.014 0.000
 Years since diagnosis Stigma −0.113 −0.273*** 0.031
 Years since diagnosis Social support Coping positive −0.028 0.153* 0.010 0.000
 Years since diagnosis Social support Coping negative −0.028 −0.187* −0.147* −0.001
 Years since diagnosis Social support Stigma −0.028 −0.254*** −0.273*** −0.002
 Social support 0.098 0.014 0.112
 Social support Coping positive 0.153* 0.010 0.002
 Social support Coping negative −0.187* −0.147* 0.027
 Social support Stigma −0.254*** −0.273*** 0.069**
 Stigma −0.273*** −0.273***
 Coping positive 0.010 0.010
 Coping negative −0.147* −0.147*
Covariates

 Race/ethnicity African-American 0.121 0.121
 Race/ethnicity, Other 0.017 0.017
 Race/ethnicity, Hispanic Ref Ref
 Education, College −0.048 −0.048
 Education, High school −0.035 −0.035
 Education, No high school Ref Ref
 Employed −0.054 −0.054
 Illicit drug use past 6 mo. −0.079 −0.079
 Married −0.027 −0.027
 CD4 count 0.060 0.060

Total indirect effect; DV, Dependent variable (FAHI physical functioning scale)

*

p<0.05

**

p<0.01

***

p<0.001

Figure 2.

Figure 2

Estimated full SEM model showing determinants of HIV-related physical functioning (only significant pathways shown).

Model of global functioning

As shown in Table 3 and Figure 3, positive coping strategies and social support had significant positive direct effects and HIV-related stigma had a significant negative direct effect on global functioning. Social support also had a significant indirect effect on global functioning through stigma. PLWH with greater social support tended to report less HIV-related stigma and more reliance on positive coping strategies, each of which were associated with better global functioning. Years since HIV diagnosis was associated with poorer global functioning indirectly through positive coping. Those living with an HIV diagnosis longer tended to rely less on positive coping strategies, which in turn had a deleterious effect on global functioning. There was no evidence of a direct or indirect effect of age on global functioning. Contrary to our conceptual model, there was no evidence of a direct effect of negative coping on global functioning. Use of illicit drugs in the past six months, the only significant covariate in the model, was associated with poorer global functioning.

Table 3.

Full model SEM with direct, indirect (mediational), and total effects of independent variables and covariates on HIV-related global functioning

Variables Standardized beta coefficients

Independent Variables (IV) Mediator 1 Mediator 2 IV on mediator 1 Mediator 1 on DV Mediator 1 on 2 Mediator 2 on DV Indirect effect Direct effect Total effect
 Age 0.072*† 0.007 0.080
 Age Positive coping 0.117* 0.224*** 0.026a
 Age Negative coping −0.010 0.039 0.000
 Age Social support 0.101 0.117* 0.012
 Age Stigma −0.068 −0.346*** 0.023
 Age Social support Positive coping 0.101 0.153* 0.224*** 0.003
 Age Social support Negative coping 0.101 −0.187* 0.039 −0.001
 Age Social support Stigma 0.101 −0.254*** −0.346*** 0.009
 Years since diagnosis −0.020† 0.056 0.036
 Years since diagnosis Positive coping −0.243*** 0.224*** −0.054**
 Years since diagnosis Negative coping 0.040 0.039 0.002
 Years since diagnosis Social support −0.028 0.117* −0.003
 Years since diagnosis Stigma −0.113 a −0.346*** 0.039
 Years since diagnosis Social support Positive coping −0.028 0.153* 0.224*** −0.001
 Years since diagnosis Social support Negative coping −0.028 −0.187* 0.039 0.000
 Years since diagnosis Social support Stigma −0.028 −0.254*** −0.346*** −0.002
 Social support 0.115***† 0.117* 0.232***
 Social support Positive coping 0.153* 0.224*** 0.034a
 Social support Negative coping −0.187* 0.039 −0.007
 Social support Stigma −0.254*** −0.346*** 0.088**
 Stigma −0.346*** −0.346***
 Coping positive 0.224*** 0.224***
 Coping negative 0.039 0.039
Covariates

 Race/ethnicity, African-American 0.051 0.051
 Race/ethnicity, Other −0.015 −0.015
 Race/ethnicity, Hispanic Ref Ref
 Education, College −0.066 −0.066
 Education, High school −0.109 −0.109
 Education, No high school Ref Ref
 Employed 0.086 0.086
 Illicit drug use past 6 mo. −0.193*** −0.193***
 Married 0.083 0.083
 CD4 count 0.053 0.053

Total indirect effect; DV, Dependent variable (FAHI global functioning scale)

a

p<0.100

*

p<0.05

**

p<0.01

***

p<0.001

Figure 3.

Figure 3

Estimated full SEM model showing determinants of HIV-related global functioning (only significant pathways shown).

Discussion

Results suggest that greater social support and coping skills, and less HIV-related stigma may help to improve or maintain functioning ability among heterosexual male PLWH. While generally consistent with previous research on PLWH, (Breet, Kagee, & Seedat, 2014; Slater et al., 2013; Varni et al., 2012), our results also revealed that the relationship between social support and physical functioning was mediated by stigma. Those with higher social support tended to report less HIV-related stigma and higher physical functioning. Considering that social support plays an important role in the lives of PLWH, this finding should be further investigated. Previous research shows that greater social support is associated with less perceived stigma among PLWH (Galvan, Davis, Banks, & Bing, 2008; Vyavaharkar et al., 2010). PLWH with higher levels of social support feel more positive self-appraisal which may reduce their feelings of stigma (Pitts, Grierson, & Misson, 2005). The study also demonstrates the importance of coping skills on the relationship between social support and functioning ability as this relationship was mediated by individual differences in coping skills.

While age and years since HIV diagnosis were not associated with functioning ability, older age was associated with greater positive coping, and more years since HIV diagnosis was associated with less positive coping. Aging may be associated with an increase in positive coping due to aging-related maturity (Aldwin, 1991; Hamarat et al., 2002); however, age has also been associated with negative coping (Brennan, Holland, Schutte, & Moos, 2012) as explained by age-related efforts to conserve energy, and a decline in active confrontation. People with LTHIV may have declining appraisal of personal and social resources or motivation fatigue leading to decay in actively confronting the stressors.

Conclusions from this study may be limited by the cross-sectional nature of the data, and we did not assess generalizability to the PLWH population. Nonetheless, these findings shed light on a growing population of PLWH who may need interventions to ensure adequate psychosocial support and resources to improve and maintain functioning ability and promote healthy aging.

Acknowledgments

This work was supported by the University of Rochester Center for AIDS Research under Grant NIH P30AI078498; and National Institutes of Health, National Institute of Child Health and Human Development under Grant R01HD057793.

Contributor Information

Krupa Shah, Email: Krupa_Shah@urmc.rochester.edu, Highland Hospital, Department of Medicine, 1000 South Ave., Box 58, Rochester, New York 14620 Ph: 585.275.5321.

James M. McMahon, Email: James_McMahon@URM.Rochester.edu, University of Rochester Medical Center, School of Nursing, 601 Elmwood Ave., Box SON, Rochester, New York 14642 Ph: 585.276.3951.

Nicole Trabold, Email: Nicole_Trabold@URMC.Rochester.edu, University of Rochester Medical Center, School of Nursing, 601 Elmwood Ave., Box SON, Rochester, New York 14642 Ph: 585.273.3876.

Angela A. Aidala, Email: aaa1@columbia.edu, Columbia University, Department of Sociomedical Sciences, 722 W. 168th St., R515, New York, New York 10032 Ph: 212.305.7023.

Michael Chen, Email: Yufu_Chen@URMC.Rochester.edu, University of Rochester, Department of Public Health Sciences PhD Program, 601 Elmwood Ave., Rochester, New York 14642.

Enrique R. Pouget, Email: Pouget@ndri.org, National Development and Research Institutes, 71 W. 23rd St., 8th Flr, New York, New York 10010 Ph: 212.845.4400.

Janie Simmons, Email: simmons@ndri.org, National Development and Research Institutes, 71 W. 23rd St., 4th Flr, New York, New York 10010 Ph: 212.845.4558.

Keith Klostermann, Email: kck35@Medaille.edu, Medaille College, Counseling and Psychology Department, 18 Agassiz Circle, 103H, Buffalo, New York 14214 Ph: 716.880.2559.

References

  1. Aldwin CM. Does age affect the stress and coping process? Implications of age differences in perceived control. Journal of Gerontology. 1991;46:P174–180. doi: 10.1093/geronj/46.4.p174. [DOI] [PubMed] [Google Scholar]
  2. Ashton E, Vosvick M, Chesney M, Gore-Felton C, Koopman C, O’Shea K, Spiegel D. Social support and maladaptive coping as predictors of the change in physical health symptoms among persons living with HIV/AIDS. AIDS Patient Care and STDS. 2005;19:587–598. doi: 10.1089/apc.2005.19.587. [DOI] [PubMed] [Google Scholar]
  3. Breet E, Kagee A, Seedat S. HIV-related stigma and symptoms of post-traumatic stress disorder and depression in HIV-infected individuals: does social support play a mediating or moderating role? AIDS Care. 2014;26:947–951. doi: 10.1080/09540121.2014.901486. [DOI] [PubMed] [Google Scholar]
  4. Brennan PL, Holland JM, Schutte KK, Moos RH. Coping trajectories in later life: a 20-year predictive study. Aging Ment Health. 2012;16:305–316. doi: 10.1080/13607863.2011.628975. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Compas BE, Connor-Smith JK, Saltzman H, Thomsen AH, Wadsworth ME. Coping with stress during childhood and adolescence: problems, progress, and potential in theory and research. Psychological Bulletin. 2001;127:87–127. [PubMed] [Google Scholar]
  6. Connor-Smith JK, Compas BE, Wadsworth ME, Thomsen AH, Saltzman H. Responses to stress in adolescence: measurement of coping and involuntary stress responses. Journal of Consulting and Clinical Psychology. 2000;68:976–992. [PubMed] [Google Scholar]
  7. Desquilbet L, Jacobson LP, Fried LP, Phair JP, Jamieson BD, Holloway M, Margolick JB. HIV-1 infection is associated with an earlier occurrence of a phenotype related to frailty. J Gerontol Ser A-Biol Sci Med Sci. 2007;62:1279–1286. doi: 10.1093/gerona/62.11.1279. [DOI] [PubMed] [Google Scholar]
  8. Effros RB, Fletcher CV, Gebo K, Halter JB, Hazzard WR, Horne FM, High KP. Aging and infectious diseases: workshop on HIV infection and aging: what is known and future research directions. Clin Infect Dis. 2008;47:542–553. doi: 10.1086/590150. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Galvan FH, Davis EM, Banks D, Bing EG. HIV stigma and social support among African Americans. AIDS Patient Care and STDS. 2008;22:423–436. doi: 10.1089/apc.2007.0169. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Greysen SR, Horwitz LI, Covinsky KE, Gordon K, Ohl ME, Justice AC. Does social isolation predict hospitalization and mortality among HIV+ and uninfected older veterans? Journal of the American Geriatrics Society. 2013;61:1456–1463. doi: 10.1111/jgs.12410. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Hamarat E, Thompson D, Aysan F, Steele D, Matheny K, Simons C. Age differences in coping resources and satisfaction with life among middle-aged, young-old, and oldest-old adults. Journal of Genetic Psychology. 2002;163:360–367. doi: 10.1080/00221320209598689. [DOI] [PubMed] [Google Scholar]
  12. Jenkins SR, Guarnaccia CA. Concerns and coping with HIV: comparisons across groups. AIDS Care. 2003;15:409–421. doi: 10.1080/0954012031000105469. [DOI] [PubMed] [Google Scholar]
  13. Lubben J, Gironda M. Measuring social networks and assessing their benefits. Hampshire, United Kingdom: Ashgate; 2004. [Google Scholar]
  14. Lyons A, Pitts M, Grierson J. Exploring the psychological impact of HIV: health comparisons of older Australian HIV-positive and HIV-negative gay men. AIDS and Behavior. 2012;16:2340–2349. doi: 10.1007/s10461-012-0252-8. [DOI] [PubMed] [Google Scholar]
  15. Lyons A, Pitts M, Grierson J, Thorpe R, Power J. Ageing with HIV: health and psychosocial well-being of older gay men. AIDS Care. 2010;22:1236–1244. doi: 10.1080/09540121003668086. [DOI] [PubMed] [Google Scholar]
  16. Onen NF, Overton ET. A review of premature frailty in HIV-infected persons; another manifestation of HIV-related accelerated aging. Curr Aging Sci. 2011;4:33–41. [PubMed] [Google Scholar]
  17. Peterman AH, Cella D, Mo F, McCain N. Psychometric validation of the revised Functional Assessment of Human Immunodeficiency Virus Infection (FAHI) quality of life instrument. Quality of Life Research. 1997;6:572–584. doi: 10.1023/a:1018416317546. [DOI] [PubMed] [Google Scholar]
  18. Pitts M, Grierson J, Misson S. Growing older with HIV: a study of health, social and economic circumstances for people living with HIV in Australia over the age of 50 years. AIDS Patient Care STDS. 2005;19:460–465. doi: 10.1089/apc.2005.19.460. [DOI] [PubMed] [Google Scholar]
  19. Rodkjaer L, Chesney MA, Lomborg K, Ostergaard L, Laursen T, Sodemann M. HIV-infected individuals with high coping self-efficacy are less likely to report depressive symptoms: a cross-sectional study from Denmark. International Journal of Infectious Diseases. 2014;22:67–72. doi: 10.1016/j.ijid.2013.12.008. [DOI] [PubMed] [Google Scholar]
  20. Rosenfeld D, Bartlam B, Smith RD. Out of the closet and into the trenches: gay male Baby Boomers, aging, and HIV/AIDS. Gerontologist. 2012;52:255–264. doi: 10.1093/geront/gnr138. [DOI] [PubMed] [Google Scholar]
  21. Sayles JN, Hays RD, Sarkisian CA, Mahajan AP, Spritzer KL, Cunningham WE. Development and psychometric assessment of a multidimensional measure of internalized HIV stigma in a sample of HIV-positive adults. AIDS and Behavior. 2008;12:748–758. doi: 10.1007/s10461-008-9375-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Shippy RA, Karpiak SE. The aging HIV/AIDS population: fragile social networks. Aging Ment Health. 2005;9:246–254. doi: 10.1080/13607860412331336850. [DOI] [PubMed] [Google Scholar]
  23. Slater LZ, Moneyham L, Vance DE, Raper JL, Mugavero MJ, Childs G. Support, stigma, health, coping, and quality of life in older gay men with HIV. Journal of the Association of Nurses in AIDS Care. 2013;24:38–49. doi: 10.1016/j.jana.2012.02.006. [DOI] [PubMed] [Google Scholar]
  24. Slater LZ, Moneyham L, Vance DE, Raper JL, Mugavero MJ, Childs G. The Multiple Stigma Experience and Quality of Life in Older Gay Men With HIV. Journal of the Association of Nurses in AIDS Care. 2014;26:24–35. doi: 10.1016/j.jana.2014.06.007. [DOI] [PubMed] [Google Scholar]
  25. Varni SE, Miller CT, McCuin T, Solomon SE. Disengagement and Engagement Coping with HIV/AIDS Stigma and Psychological Well-Being of People with HIV/AIDS. Journal of Social and Clinical Psychology. 2012;31:123–150. doi: 10.1521/jscp.2012.31.2.123. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Vyavaharkar M, Moneyham L, Corwin S, Saunders R, Annang L, Tavakoli A. Relationships between stigma, social support, and depression in HIV-infected African American women living in the rural Southeastern United States. Journal of the Association of Nurses in AIDS Care. 2010;21:144–152. doi: 10.1016/j.jana.2009.07.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Yeji F, Klipstein-Grobusch K, Newell ML, Hirschhorn LR, Hosegood V, Barnighausen T. Are social support and HIV coping strategies associated with lower depression in adults on antiretroviral treatment? Evidence from rural KwaZulu-Natal, South Africa. AIDS Care. 2014:1–8. doi: 10.1080/09540121.2014.931561. [DOI] [PubMed] [Google Scholar]

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