- Research article
- Open Access
Self-reported depression and social support are associated with egocentric network characteristics of HIV-infected women of color
BMC Women's Health volume 20, Article number: 80 (2020)
We explore the social network characteristics associated with depressive symptoms and social support among HIV-infected women of color (WOC).
Network data were collected from 87 HIV-infected WOC at an academic Infectious Disease clinic in the United States (US) south. With validated instruments, interviewers also asked about depressive symptoms, social support, and treatment-specific social support. Linear regression models resulted in beta coefficients and 95% confidence intervals for the relationships among network characteristics, depression, and support provision.
Financial support provision was associated with lower reported depressive symptoms while emotional support provision was associated with increased reported social support. Talking less than daily to the first person named in her network, the primary alter, was associated with a nearly 3-point decrease in reported social support for respondents. Having people in their social network who knew their HIV status was also important.
We found that both functional and structural social network characteristics contributed to perceptions of support by HIV-infected WOC.
In 2014, women represented 19% of all HIV diagnoses in the United States (US). African American (AA) women comprise only 14% of women in the US, but represent 62% of women newly diagnosed with HIV . HIV-infected women belonging to racial and ethnic minorities (e.g., women of color (WOC)) have lower rates of antiretroroviral therapy (ART) use , and adherence to medical appointments , and more frequent discontinuations of ART than majority women . Yet ART adherence and continuous HIV care are essential to improve health, increase longevity and reduce HIV transmission .
Depression is an important barrier to successful HIV treatment and ART adherence among HIV-infected women of color . African-American women who are infected with HIV and who experience depressive symptoms have low and/or inconsistent use of ART (ART) [7, 8]. In patients with both HIV and substance abuse, mood disorders, including depression, were associated with poor ART adherence unless higher levels of self-efficacy were reported .
Successful HIV treatment requires engagement in care, which is facilitated by the presence of general social support from formal and informal networks. In the Antiretroviral Treatment Access Study (ARTAS), even after adjusting for the case management intervention, participants were more likely to remain in care 12 months after enrollment if a member of their social network had tried to help them get HIV treatment . Injection drug users in Baltimore (of whom 33% were women) were more likely to see the same medical provider and receive some medical care in the prior 6 months if their social networks included other women, provided emotional or financial support, or physical assistance . Social network influences are critical.
Social networks can be characterized by their function and structure, where function refers to the type of interaction provided by the network, and structure refers to size, density and overlap [12, 13]. Informed by the Berkman conceptual model , whose macro-level social cultural conditions structure social network features, which provide opportunities for micro-level psychological features to impact health through behavioral, psychological and physiologic pathways, we propose that support networks contribute to care engagement by constructing expectations, norms, and pressure to participate in HIV care. Research among HIV-infected men suggests satisfaction with one’s social network and engagement with the AIDS community is associated with more health-supportive coping strategies . Other work indicates HIV-infected people who report receiving emotional and informational support from their network have greater psychological well-being . Numerous studies have shown that social support from formal and informal social networks are important for engaging HIV care [10, 17]. Interestingly, Knowlton et al.  found each additional source of support within the network increased the odds of utilizing outpatient services by 24%; the authors suggest that social norms, expectations, and social control contributed to the association between social networks and medical care utilization.
When individuals disclose their HIV status to members of their network, it changes the nature of support that network members can provide. For instance, network members can provide transportation to clinic visits or assistance in picking up HIV medications after HIV disclosure has occurred and Valente et al.  found HIV-infected persons were more willing to invite network members to participate in an HIV-vaccine preparedness cohort if the index person had disclosed his/her HIV status to network members. Recent work found HIV-infected women who report feeling loved were less likely to report disclosure stigma  while another found early disclosure (within days, instead of a few months after) was associated with lower depression scores among HIV-infected women of color . Among AA and Latino HIV-infected men who have sex with men (MSM) who disclosed their HIV status, the number of persons in their social network was associated with retention in care ; Wohl et al’s  work suggested that status disclosure was more predictive of care retention than the amount of social support an individual reported receiving. Specifically, among study participants reporting an absence of social support, the use of ART was minimally reduced when study participants had disclosed their HIV status but was significantly reduced if participants had not disclosed their HIV status . For some HIV-infected persons, formal sources of support (HIV care providers and community organizations), rather than the informal network of friends and family, are used to support engagement in HIV care .
Despite the high burden of HIV among WOC, and the seemingly important role played by support networks among HIV-infected individuals, little research has considered the social networks of HIV-infected WOC. In light of the need to further understand the role depression, social support and social networks play as hindering or supporting care engagement among HIV-infected WOC, and in alignment with our conceptual model (Fig. 1) we sought to: 1) Describe the egocentric social network characteristics of a sample of HIV-infected WOC and 2) Evaluate how social network characteristics were associated with depression and social support among these women.
The research was conducted in an academic infectious diseases clinic in North Carolina (NC) as part of a broader project called Guide to Healing, which has been described elsewhere [24,25,26,27]. The clinic provided HIV care to 1700 HIV infected people in 2010, of whom 58% were African-American (AA), 10% were Hispanic or otherwise not white, which is consistent with NC state epidemiology. Almost all (82%) of the 31% female patients belonged to racial/ethnic minorities, including 69% AA. The clinic’s catchment area includes both rural and urban NC counties.
Serial cross-sectional data were collected as part of an interrupted time series evaluation design of the Guide to Healing project. WOC were eligible to participate in data collection if they met the following criteria: 1) were HIV-infected; 2) had an appointment that day at the clinic; 3) were age 18 or older; and 4) English-speaking. All women of color who showed up for their medical appointment on an interview day were approached to participate in an interview. Social network data were collected as part of the third tier of data collection (2012), the response rate was 58% and participants in the social network analysis represent approximately 25% of the total HIV-infected women of color in the clinic. Validated instruments were used in interviews asking women about depression, trauma, social support, treatment-specific social support and social networks. The survey was read to participants by trained interviewers who entered their responses into netbook computers. Participants received a $25.00 gift card for their time. The University of North Carolina’s Institutional Review Board approved the research protocols.
Social network variable construction
We used a modified version of the General Social Survey  to elicit personal networks. The approach and name generation question was identical to published work, but the characteristics that were solicited for each named network member were modified to answer the research questions outlined in for this analysis. Interviewers asked respondents (the ego) to name the people with whom they have discussed important matters (called alters). Follow-up questions were then asked about the alters, including their relationship with the ego (the choice options included spouse, parent, other family, friend, professional advisor, etc.), frequency of talking with respondent (almost every day to less than once per month), and types of support provided to the respondent (advice, emotional, financial, transportation, other). We also asked if the named alters knew that the respondent had HIV and if s/he (the alter) was also known to the ego to be HIV-infected. Last we asked respondents to indicate if they thought that all, most, only a few, or none of the people they listed in their name generator response knew each other. Counts of named persons by relationship type, number of ties (relationship between ego and alter), type of support provided, frequency of contact with 1st and 2nd-named alters, and awareness of / shared HIV status were generated and used for analyses.
Outcome variable construction
The PHQ 9 is a validated and reliable 9-item survey designed to screen for potential DSM diagnosable depression . Respondents were asked questions regarding the symptoms experienced over the last 2 weeks and responded on a scale of 0 ( “Not at All”) to 3 (“Nearly every day”). The PHQ 9 was scored by summing the item values (range = 0–27). The physical manifestations of depression, as identified in the PHQ 9 scale, mimic both the symptoms of HIV and the side-effects of HIV medications. Consequently, a psychiatric symptoms subscale (PHQ 4) was also constructed in the identical manner by excluding the questions that asked about physical symptoms of depression. The questions that asked about apathy, depressed mood, guilt, and suicidal ideation were retained and those that asked about insomnia, fatigue, psychomotor changes, appetite changes and concentration difficulties were removed for the psychiatric symptoms subscale PHQ 4.
Perceived emotional and practical social support available from friends and others was captured as a 7-item subset of the Social Support and Activities Scale [30, 31]. Response options ranged from ‘1’ (“Definitely Not”) to 4 (“Definitely Yes”) with a potential range of scores from 7 to 28. The availability of support, care and guidance for HIV care was assessed using the Treatment-specific Social Support Scale (TSSS). TSSS Scale is a modified 12-item subset of the Social Provisions Scale . Responses ranged from 1 (“strongly disagree”) to 4 (“strongly agree”) and were summed to create potential scores from 12 to 48. Each of these social environmental scales were continuous outcomes in our model.
Participants reported their age, employment status, insurance status, years of education and marital status. Age was coded as a continuous variable and employment was coded as a dichotomous variable (full or part-time employment or unemployed). To include an additional indicator of personal resources, insurance status was dichotomized to private insurance and not private insurance while education was coded as a categorical variable (less than 12 years, 12 years, or more than 12 years of education). Marital status was coded as a dichotomized variable (married, unmarried). While marital status is an important descriptive variable for these HIV-infected WOC, it was not included as a covariate in the adjusted models since it is on the causal pathway from social network to depression and social support.
Means and standard deviations of the continuous variables, counts and percentages of the categorical variables were created. Scale properties were examined, including internal consistency (Cronbach’s alphas) scores, which ranged from 0.90 (treatment-specific social support) to 0.80 (psychiatric symptoms subscale (PHQ 4)). Scale correlations were also explored.
Linear regression was used to assess the relationship between each dependent variable (depression, psychiatric symptoms subscale, social support, and treatment-specific social support) and the various network attributes (count of family ties; count ties providing advice, emotional support, financial support, transportation, respectively; count of network ties who knows HIV status and count of ties who are HIV-infected; total network size; and contact frequency with main and secondary contacts. Models, which had been assessed for linearity assumptions, resulted in beta coefficients and 95% confidence intervals. Adjusted models included continuous age, dichotomous insurance status, and categorical years of education.
Approximately 90% of the women who participated in the social network data collection were black non-Hispanic, 7% were Native American and the remaining 6% self-identified as Hispanic or other (in non-mutually-exclusive categories, data not shown). Their mean age was 46 years old and approximately 34% had more than 12 years of education (Table 1). Almost all were uninsured or on public insurance, about 30% were employed and most were not married.
Women reported relatively high amounts of social support (mean = 24) and treatment-specific social support (mean = 38) (Table 2). The average depression score  was in the “mild” depression range (5 to 9 out of 27) for the PHQ 9 screener and the psychiatric symptoms subscale (PHQ 4) was proportionate to the PHQ 9 . The alpha scores ranged from 0.7 (PHQ 4) to 0.9 (treatment-specific social support). Alpha scores for the other scales were higher than 0.8.
A substantial range of family (0 to 5) and non-family ties (0 to 11) were identified (Table 3), with about 84% of reported ties being to family. Spouses (27%) followed by parents, children and / or friends (14.8% each) were the first named alters by respondents. Women also reported that more ties provided advice and emotional support (69 and 73%), than financial and transportation support (43 and 43%, respectively). While many women had ties in their network who knew their HIV status (73%), only 6% of the ties named by the women were also HIV-infected. Most women talked with their first and second named alters almost daily.
While all of the egocentric social network attributes reported by these WOC were associated with lower depression, as indicated by the negative PHQ 9 screening values, the beta coefficients associated with most of these relationships were not distinguishable from zero (Table 4 and Supplemental Table 1). Financial support provision was associated with a one-point reduction in reported depressive symptoms in both adjusted and unadjusted models. One structural network characteristic that appeared to be meaningful was the alter’s HIV status; each additional HIV-infected person in a woman’s social network was associated with 2 fewer points on the PHQ 9 screening tool, even after adjustment for covariates. Talking less than daily with the first named alter was also associated with increased depressive symptoms, but this finding was null following adjustment.
The pattern of association for the depression screener limited to psychiatric symptoms (PHQ 4) was similar to that observed for the complete PHQ 9 (Table 4); most of the network features were associated with lower reported values on the depression screener. After adjustment for covariates, however, each additional relationship (tie) the respondent thought would provide financial support was associated with a 0.7 point decrease in the psychiatric symptoms subscale. Only one structural characteristic, having family members among the named alters, was associated with lower psychiatric depression scores.
Functional network characteristics were generally associated with higher values of reported social support (Table 5 and Supplemental Table 2), and remained distinguishable from zero following adjustment. Ties that provide advice, emotional, financial and transportation support were associated with increased reported social support. Based on the magnitude of the beta coefficients, few structural network characteristics were associated with social support. The most important influence on reported social support was frequency of contact with the first named alter (the person the respondent named first in her name generator); talking less than daily (between once per week and once per month) was associated with a nearly 3-point decrease in reported social support for respondents. Having a family member among the alters was also important and resulted in a 1-point increase in reported social support.
Functional network features were uniformly associated with treatment-specific social support (Table 5); almost all network characteristics were associated with a 2 to 3-point increase in treatment-specific social support, even after adjustment for covariates. Structurally, the count of family ties, having alters who know the ego’s HIV status, and having a larger social network – as indicated by network size, was also associated with higher reported treatment-specific social support. Similar to the findings for social support, talking less than daily to the first named alter was associated with about a 4-point decrease in treatment specific social support.
Social networks have long been understood as a potential risk environment for HIV acquisition and transmission. Social networks may also be an important buffer against depression and a source of social support. This cross-sectional study of HIV-infected WOC in an academic HIV clinic demonstrated that network size and functional characteristics were associated with both decreased depression and increased social support, especially treatment-specific social support.
In this sample of HIV-infected WOC, women named, on average, 4 alters in their social network. While little prior work has assessed network characteristics of HIV-infected WOC, this network size appears similar to others published for HIV-infected African American women (3.3), slightly larger than that reported by HIV-infected African American men who have sex with men (MSM) (2.0), HIV-infected Latino MSM (2.8) and is slightly smaller than prior HIV-infected Latina estimates (3.5) . The size of the network was associated with the availability of treatment specific social support.
Both network function and structure were important across outcomes; functional characteristics were estimated by types of support egos reported receiving from alters. Financial support was associated with reduced depressive symptoms on both the complete PHQ 9 and the psychiatric symptom subscale. Emotional support was also associated with increased general social support and treatment-specific social support. A wider range of functional support (financial, transportation and advice support) was associated with psychiatric depressive symptoms and treatment-specific social support, but not with depressive symptoms or general social support. These findings are consistent with our conceptual model [14, 34], which posits that material resources are an important but incompletely understood aspect of social networks.
Structural network characteristics were also associated with depressive symptoms and reported social support. Depression, measured using the full PHQ 9 scale, was associated with only one structural feature: the HIV-infected status of alters/contacts. This finding suggests that reducing perceived isolation, rather than providing support per se, may be important for reducing depressive symptoms among our sample of HIV-infected WOC.
Frequent contact with the first person named in a woman’s network, another structural feature, was important for reported social support . Reich et al.  suggests that effects of social networks on health is dependent upon whether there is an ‘important person’ in an individual’s social network. The findings from the analyses reported here are consistent with others who suggest the important role of having an important person or confidant in supporting mental health and reducing stigma . Prior work has also supported our finding that frequency and quality of interaction with one’s social network may have psychological benefits for HIV-infected women . Interestingly, while most ties are family ties (56%), the count of family ties was only statistically significantly associated with treatment-specific social support. And among the family ties, it appears to be having a spouse that is driving this increase in treatment-specific social support (beta coefficient = 4.60; 95% CI: 1.17, 8.09).
Most women had ties who knew their HIV status (73%), and this HIV status awareness appeared important for receiving more treatment-specific social support and reporting fewer depressive symptoms. This finding is consistent with prior research that disclosure affects willingness to recruit network members to participate in a vaccine preparedness cohort , depression scores , ART use and reported social support . The observed relationship between the alter knowing the ego’s HIV status and treatment-specific social support make sense, since support can be more effective if the support provider knows what the treatment is for and what constitutes useful or necessary social support. Additionally, the ego may be more likely to request support from someone who is aware of her HIV status. An additional structural characteristic that we were not able to construct with our data, however, was reciprocity, as it was unclear if the HIV-infected alters were the same alters to whom the ego disclosed.
These findings, while promising, are not without limitations. While the sample of 87 women who participated in this survey is not large, it does represent one-quarter of the clinic’s AA female population; these 87 women may not fully represent the population of HIV-infected WOC, however. Further, since our sample included only WOC of one geographic area, the results may not be generalizable to other populations. Because this preliminary analysis did not seek to engage in hypothesis testing, the study power resulting from the 87 participants is adequate for descriptive analyses. Unfortunately, women who do not participate in HIV care may not be well-represented in these analyses. In addition, this analysis was hampered by a lack of detailed adherence data, which means we were not able to assess how network features are associated with treatment adherence, which is a question of public health significance. Finally, these data are cross-sectional, so the causal or directional nature of the relationships between networks and depressive symptoms and social support cannot be determined.
Strengths of this work include our use of validated and widely-used instruments, which facilitates comparison with other research. In this study we also employed a psychiatric symptoms subscale (PHQ 4) to ensure that depressive symptoms were not conflated with HIV symptomatology or medication side-effects. We also used the count of network ties, which facilitates network variable construction and comparison with other research.
Many WOC living with HIV and AIDS feel isolated and hopeless [25, 27], but the data presented here suggest that both functional and structural characteristics of social networks can be a source of support that ameliorates depression and helps women engage in care. Therefore, understanding women’s existing social networks and how these networks are related to positive and / or negative health behaviors is an important step toward prolonging and improving this population’s quality of life. One important feature of social networks is their modifiability and network interventions, including the use of therapeutic groups, may help keep HIV WOC engaged in care. Future research should evaluate how network ties, an intrinsic community strength, can be harnessed to improve outcomes among women with HIV.
Availability of data and materials
The data that support the findings of this study are available on request from the second author (EBQ). The data are not publically available to due them containing personal information that could compromise participant privacy and consent.
Human immunodeficiency virus
Women of color
Antiretroviral treatment and access to services
Acquired immune deficiency syndrome
Men who have sex with men
Patient health questionnaire
Diagnostic and statistical manual of mental disorders
Treatment-specific social support
- 95% CI:
95% confidence interval
Centers for Disease Control and Prevention (CDC). HIV surveillance report: Diagnosis of HIV infection in the United States and dependent areas 2015. Available from: http://www.cdc.gov/hiv/library/reports/surveillance/.
Anastos K, Schneider M, Gange S, Minkoff H, Greenblatt R, Feldman J, et al. The association of race, socioeconomic and behavioral characteristics with response to highly active antiretroviral therapy in women. J Acquir Immune Defic Syndr. 2005;39(5):537–44.
Haley D, Lucas J, Golin C, Wang J, Hughes J, Emel L, et al. Retention strategies and factors associated with missed visits among low income women at increased risk of HIV acquisition in the US (HPTN 064). AIDS Patient Care STDs. 2014;28(4):206–17.
Ahdieh-Grant L, Tarwater P, Schneider M, Anastos K, Cohen M, Khalsa A, et al. Factors and temporal trends associated with highly active antiretroviral therapy discontinuuation in the Women's interagency HIV study. J Acquir Immune Defic Syndr. 2005;38(4):500–3.
Fauci A, Marston H. Ending the HIV-AIDS pandemic - follow the science. N Engl J Med. 2015;373:2197–9.
McFall A, Dowdy D, Zelaya C, Murphy K, Wilson T, Young M, et al. Understanding the disparity: predictors of virologic failure in women using highly active antiretroviral theraphy vary by race and / or ethnicity. J Acquir Immune Def Syndr. 2013;64(3):289–98.
Waite R. B B, Gipson-Jones T. factors that shape mental health treatment-seeking behaivors of HIV-positive African American women with depressive symptoms: a review of the literature. J Natl Black Nurses Assoc. 2008;19:50–8.
Ickovics J, Hamburger M, Vlahov D, Schoenbaum E, Schuman P, Boland R, et al. Mortality, CD4 cell count decline, and depressive symptoms and among HIV-seropositive women: longitudinal analysis from the HIV epidemiology research study. JAMA-J Am Med Assoc. 2001;285:1466–74.
Rief S, Proeschold-Bell R, Yao J, LeGrand S, Uehara A, Asilmwe E, et al. Three types of self-efficacy associated with medication adherence in patients with co-occurring HIV and substance use disorders, but only when mood disorders are present. J Multidiscip Healthc. 2013;6:229–37.
Gardner L, Marks G, Metsch L, Loughlin A, O'Daniels C, Del Rio C, et al. Psychological and behavioral correlates of entering care for HIV infection: the antiretroviral treatment access study (ARTAS). AIDS Patient Care STDs. 2007;21(6):418–25.
Knowlton A, Hua W, Latkin C. Social support networks and medical service use among HIV-positive injection drug users: implications for intervention. AIDS Care. 2005;17(4):479–92.
Latkin C, Forman V, Knowlton A, Sherman S. Norms, social networks, and HIV-related risk behaviors among urban disadvantaged drug users. Soc Sci Med. 2003;56(3):465–76.
Pilowsky D, Hoover D, Hadden B, Fuller C, Ompad D, Andrews H, et al. Impact of social network characteristics on high-risk sexual behaviors among non-injection drug users. Subst Use Misuse. 2007;42(11):1629–49.
Berkman L, Glass T, Brissette I, Seeman T. From social integration to health: Durkheim in the new millennium. Soc Sci Med. 2000;51:843–57.
Leserman J, Perkins D, Evans D. Coping with the threat of AIDS: the role of social support. Am J Psychiatr. 1992;149(11):1514–20.
Hall V. The relationship between social support and health in gay men with HIV/AIDS: an integrative review. J Assoc Nurses AIDS Care. 1999;10(3):74–86.
Catz S, Mcclure J, Jones G, Brantley P. Predictors of outpatient medical appointment adherence among persons with HIV. AIDS Care. 1999;11(3):361–3.
Valente T, Zogg J, Christensen S, Richardson J, Kovacs A, Operskalski E. Using soical networks to recruit an HIV vaccine preparedness cohort. J Acquir Immune Defic Syndr. 2009;52(4):514–23.
Cederbaum J, Rice E, Craddock J, Pimentel V, Beaver P. Social networks of HIV-positive women and their association with social support and depression symptoms. Women Health. 2017;57(2):268–82.
Liu C, Goparaju L, Barnett A, Wang C, Poppen P, Young M, et al. Change in patterns of HIV status disclosure in the HAART era and association of HIV status disclosure with depression level among women. AIDS Care. 2017;29(9):1112–8.
Wohl A, Galvan F, Myers H, Garland W, George S, Witt M, et al. Do social support, stress, disclosure and stigma influence retention in HIV care for Latino and African American men who have sex with men and women? AIDS Behav. 2011;15(6):1098–110.
Waddell E, Messeri P. Social support, disclosure, and use of antiretroviral therapy. AIDS Behav. 2006;10(3):263–72.
George S, Garth B, Wohl A, Galvan F, Garland W, Myers H. Sources and types of social support that influence engagement in HIV care among Latinos and African Americans. J Health Care Poor Underserved. 2009;20(4):1012–35.
Eastwood E, Fletcher J, Quinlivan E, Verdecias N, Birnbaum J, Blank A, et al. AIDS Patient Care STDS. 2015;29(Supplment 1):S4–10.
Quinlivan E, Messer L, Adimora A, Roytburd K, Bodwitch N, Parnell H, et al. Experiences with HIV testing, entry, and engagemet in care by HIV-infected women of color, and the need for autonomy, competency, and relatedness. AIDS Patient Care STDs. 2013;27(7):408–15.
Toth M, Messer L, Quinlivan E. Barriers to HIV care for women of color living in the southeastern US are associated with physical symptoms, social environment and self-determination. AIDS Patient Care STDs. 2013;27(11):613–20.
Messer L, Quinlivan E, Parnell H, Roytburd K, Adimora A, Bowditch N, et al. Barriers and facilitators to testing, treatment entry and egnagement in care in HIV-positive women of color. AIDS Patient Care STDs. 2013;27(7):398–407.
Smith R, Marsden P, Hout M, Kim J. General social surveys, 1972-2012: Cumulative codebook. Chicago: National Opinion Research Center; 2013.
Kroenke K, Spitzer R, Williams J. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. 2001;16(9):606–13.
Russell D, Cutrona C, Rose J, Yurko K. Social and emotional loneliness: an examination of Weiss’s typology of loneliness. J Pers Soc Psychol. 1984;46:1313–21.
O'Brien K, Wortmann C, Kessler R, Joseph J. Social relationships of men at risk for AIDS. Soc Sci Med. 1993;36:1161–7.
Gagne M. Autonomy support and need satisfaction in the motivation and well-being of gymnasts. J Appl Sports Psychol. 2003;15:372–90.
Wohl A, Galvan F, Myers H, Garland W, George S, Witt M, et al. Social support, stress and social network characteristics among HIV-positive Latino and African American women and men who have swz with men. AIDS Behav. 2010;14(5):1149–58.
Berkman LF, Glass T. Social integration, social networks, social support and health. In: Berkman LF, Kawachi I, editors. Social Epidemiology. New York: Oxford University Press; 2000. p. 137–73.
Reich W, Lounsbury D, Zaid-Muhammad S, Rapkin B. Forms of social support and their relationship to mental health in HIV-positive persons. Psychol Health Med. 2010;15(2):135–45.
Emlet C. An examination of the social networks and social isoloation in older and younger adults living with HIV/AIDS. Health Soc Work. 2006;31(4):299–308.
Hudson A, Lee K, Miramontes H, Portillo C. Social interactions, perceived support, and level of distress in HIV-positive women. J Assoc Nurses AIDS Care. 2001;12(4):68–76.
The authors also acknowledge the clinic staff, providers, and patients for their invaluable contributions to this research. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or the Health Resources and Services Administration.
This research was supported by funds from HRSA’s Special Projects of National Significance Initiative: Enhancing Engagement and Retention in Quality HIV Care for Women of Color (HA15148) and the Center of AIDS Research at the University of North Carolina at Chapel Hill (P30-AI50410). The funders supported the investigator’s time, and enabled the investigator’s to compensate the participants for their time completing the study questionnaire, but did not play any role in the collection, analysis of interpretation of the results presented in this manuscript. Publication of this article in an open access journal was funded by the Portland State University Library’s Open Access Fund.
Ethics approval and consent to participate
This study was conducted with the approval of the Institutional Review Boards of the participating institutions. The University of North Carolina’s Institutional Review Board approved the research protocols (# 09–2174). Study participants provided written consent, which was obtained prior to any participation in study activities.
Consent for publication
The authors declare that they have no competing interests.
Additional file 1: Table S1. Overall model statistics (R-squared and Adjusted R-squared) for models presented in Table 4: Unadjusted and adjusted beta coefficients (95% confidence intervals (95% CI)) for association between egocentric social network characteristics, all depression and psychiatric symptoms subscale (PHQ 4) (n = 87). Table S2. Overall model statistics (R-squared and Adjusted R-squared) for models presented in Table 5: Unadjusted and adjusted beta coefficients (95% confidence intervals (95% CI)) for association between egocentric social network characteristics and social support and treatment-specific social support (n = 87).
About this article
Cite this article
Messer, L.C., Quinlivan, E.B., Adimora, A. et al. Self-reported depression and social support are associated with egocentric network characteristics of HIV-infected women of color. BMC Women's Health 20, 80 (2020). https://doi.org/10.1186/s12905-020-00937-3
- Social support
- Social network