Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2014 Jul 7.
Published in final edited form as: AIDS Behav. 2011 May;15(4):767–777. doi: 10.1007/s10461-010-9793-x

People with HIV in HAART-era Russia: Transmission Risk Behavior Prevalence, Antiretroviral Medication-Taking, and Psychosocial Distress

Yuri A Amirkhanian 1,2, Jeffrey A Kelly 1,2, Anna V Kuznetsova 2, Wayne J DiFranceisco 1, Vladimir B Musatov 2,3, Dmitry G Pirogov 2
PMCID: PMC4083488  NIHMSID: NIHMS599971  PMID: 20803063

Abstract

Russia has seen one of the world’s fastest-growing HIV epidemics. Transmission risk behavior, HAART-taking, and psychosocial distress of the growing population of Russian people living with HIV (PLH) in the HAART era are understudied. Participants of a systematically-recruited cross-sectional sample of 492 PLH in St. Petersburg completed measures of sexual and drug injection practices, adherence, perceived discrimination, and psychosocial distress. Since learning of their status, 59% of participants had partners of HIV-negative or unknown serostatus (mean=5.9). 52% reported unprotected intercourse with such partners, with 29% of acts unprotected. Greater perceived discrimination predicted lower condom use. 23% of IDU PLH still shared needles, predicted by having no primary partner, lower education, and more frequently-encountered discrimination. 25% of PLH had been refused general health care, 11% refused employment, 6% fired, and 6% forced from family homes. 39% of participants had probable clinical depression, 37% had anxiety levels comparable to psychiatric inpatients, and social support was low. 54% of PLH were on HAART, 16% of PLH refused HAART regimens, and 5% took less than 90% of their doses. Comprehensive community services for Russian PLH are needed to reduce AIDS-related psychosocial distress and continued HIV transmission risk behaviors. Social programs should reduce stigma and discrimination, and promote social integration of affected persons and their families.

Keywords: Acquired Immunodeficiency Syndrome, Russia, Sexual Behavior, Needle Sharing, Mental Health, HAART Adherence

INTRODUCTION

Russia has seen one of the most rapidly-escalating HIV epidemics in the world, and highly-active antiretroviral therapy (HAART) became widely available in the country only in the past few years [1]. Access to contemporary HIV treatment in Russia has introduced a major shift from what had been a deadly disease to a potentially more manageable one. Little is known about the psychosocial needs and mental health characteristics, HIV transmission risk behavior practices, and treatment adherence of people living with HIV (PLH) in HAART-era Russia, and this is the first study to examine these characteristics in a large, systematically-recruited sample.

Widescale social, psychological, discrimination, and health care access problems as well as AIDS stigma are commonly encountered by Russian PLH, experiences that negatively affect life quality [2]. Research undertaken before HAART became available also showed that many HIV-positive persons engaged in unprotected sex and shared needles. In a 2002 sample of PLH in St. Petersburg, Russia’s second largest city, most IDUs continued to share needles and about half of PLH reported unprotected intercourse with serodiscordant/status-unknown partners. Mental health problems were widespread [3].

Russia’s AIDS epidemic began in the late-1990s and first primarily affected Russia’s approximately 1.6 million injection drug users (IDUs) [4]. However, the proportion of incident HIV infections attributable to heterosexual transmission increased from 6% in 2001 to 35% in 2008 [5]. To date, 516,167 HIV infections have been officially recorded in Russia [6]. However, the true number of infections is believed to be 940,000, establishing the country’s prevalence at a level of 1.1%. Between 23,000 and 71,000 persons have died of AIDS as of 2007 [7]. In St. Petersburg alone, almost 40,000 HIV infections and 1,726 deaths were officially recorded by 2009 [5], but the true number of infections is probably much higher. A recent review found HIV prevalence of between 8% and 64% among IDUs depending upon region in the country, and up to 9% among MSM, up to 8% among commercial sex workers (CSWs), and 5% among prisoners [8].

Russia’s HIV epidemic has particularly affected young people, with HIV prevalence of 1.3% among 15- to 24-year olds [7]. 73% of infected individuals in Russia are under age 30 [5] compared with about 30% in the U.S. [9]. A recent study found an alarming 37% HIV prevalence rate in a large community sample of St. Petersburg street children [10]. There has been a steady annual increase in the proportion of infections among females who are neither IDUs nor sex workers. Currently, females account for 33.5% of all persons with HIV in Russia, and 42% of the incident cases in 2008 [5].

In western countries, extensive prior research has explored levels of transmission risk behavior and treatment adherence in community samples of PLH [1115]. In addition, recent attention has been directed to the manner in which psychosocial distress, substance use, and sociodemographic characteristics may affect ongoing transmission risk behavior and treatment adherence [1618]. In spite of Russia’s widescale HIV/AIDS epidemic, no systematic, empirical studies have examined the psychosocial and behavioral circumstances of persons living with HIV infection in Russia since a 2002 study [3] showing pervasive and severe mental health problems, discrimination, and high levels of continued risk behavior. Since that time, contemporary antiretroviral therapies have become more widely available in Russia. Adherence to HAART has been identified as a major national AIDS-related challenge in Russia [8]. However, little to date is also known about HAART adherence rates and barriers among Russian PLH. In addition, HIV epidemiology in the country is changing from a pattern of IDU-associated transmission to one increasingly characterized by sexual transmission. HIV has become an established epidemic in Russia, and the proportion of women among PLH has increased. For these reasons, there is a need to update public health knowledge about psychosocial needs and transmission risk behaviors among Russian PLH and to characterize their access and adherence to HAART regimens.

The aims of this study were to (a) identify the prevalence of sexual and needle-sharing transmission risk behavior practices among PLH in St. Petersburg; (b) describe their psychosocial and mental health characteristics; (c) assess their HAART adherence levels, and (d) identify factors associated with continuing transmission risk behavior practices and HAART nonadherence.

METHODS

Carried out during 2008–2009, this study was approved by the IRBs of the Medical College of Wisconsin and Botkin Clinical Infectious Disease Hospital in St. Petersburg. In a preparatory research phase, local experts and key informants were consulted to identify all agencies in St Petersburg that were known to provide medical and social services to PLH. These agencies included the city’s specialized AIDS center, two infectious disease hospitals, four PLH self-support groups, and an AIDS nongovernmental organization. All eligible PLH clients present in each agency setting over a 4-month period were approached and asked to participate. Clients were eligible to participate in the study if they had not already completed the assessment, were age 15 or older, did not exhibit signs of substance use impairment, and agreed to participate. 80% of those approached by professionally-trained study staff provided informed consent and completed the anonymous self-administered measure battery (n=492). The main reason for declining to participate in the 40-minute assessment was lack of time. Incentives of approximately $10 value compensated participants for their time.

Measure

Sociodemographic indicators

Participants were asked their age, gender, education level, marital status, sexual orientation, and length of HIV-positive status knowledge. Respondents indicated if they were currently in school or employed.

HIV disclosure and perceived discrimination

Participants indicated to whom they disclosed their positive HIV status and whether HIV testing was with their consent. The measure then listed 12 situations representing potential types of AIDS-related discrimination regarding employment, social relations, health care, and breach of confidentiality. Participants used 4-point scales to report how often they encountered each situation.

Sexual behavior indicators

Respondents indicated their number of lifetime opposite- and same-gender partners, number of partners since learning about their HIV-positive status, and—of these—their number of HIV-negative or status-unknown partners. Participants were then asked whether and how often they had vaginal or anal intercourse with opposite- and with same-gender HIV-negative or unknown status partners since learning about their own HIV-positive status, and how often they used condoms from 0% (never) to 100% (always).

Substance use and needle sharing behavior

Participants specified how many alcohol drinks they consumed per week and whether they used any kind of illicit drugs in the past 3 months. Participants marked how often they used marijuana, hallucinogens, ecstasy, heroin, recreational psychotropic medications, and other drugs common in Russia. Finally, participants indicated whether they ever injected drugs, and—if so—frequency of injection and sharing needles in the past 3 months.

HAART treatment and adherence measures

Participants were asked whether they were receiving HAART. Those on HAART completed an adherence measure [19], responding to questions about the number of medication pills prescribed and then the number of pills actually taken on each of the past two days before the assessment. Participants indicated whether they interrupted or discontinued therapy since beginning their regimen. Using multiple response options, participants then specified reasons for missing doses and for treatment discontinuation.

Depression

The Center for Epidemiological Studies of Depression Scale (CES-D [20,21]) consists of 20 statements that tap cognitive, affective, and somatic aspects of depression that do not highly overlap with symptoms of HIV infection [22]. Respondents used 4-point scales to indicate on how many days of the past week each depressive feeling occurred (sample item: ‘I had crying spells’) (Cronbach’s alpha, present sample=0.89).

State anxiety

State anxiety was assessed with the State-Trait Anxiety Inventory, Form Y-1 (STAI [23]), on which respondents used 4-point scales to indicate how much 20 statements describe feelings indicative of current anxiety (sample item: ‘I am tense’). STAI scores range from 20 to 80 (Cronbach’s alpha=0.89).

Social support

The Social Provisions Scale (SPS [24,25]) consists of 24 items that measure perceived social support (sample item: ‘There are people I can depend on to help me if I really need it’). Respondents used 4-point response options to indicate their level of agreement with each statement (score range, 24–96, Cronbach’s alpha=0.90). In prior studies with HIV-infected persons, SPS scores predicted depression and continued high-risk behavior [26] and also improved following psychotherapy [27].

Statistical Methods

Univariate tests were conducted for demographic factors, psychosocial scales, STD history, sexual activities, and HAART treatment adherence variables broken down first by gender (males, n=252 and females, n=238; 2 participants did not indicate their gender) and then by probable mode of HIV exposure. Participants were defined as IDUs if they ever injected drugs and as MSM if they were males who reported lifetime sexual activity with men. Accordingly, four mutually exclusive subgroups were coded: non-MSM IDUs (both males and females, hereafter referred to as “IDUs,” n=312), MSM IDUs (n=34), non-IDU MSM (“MSM,” n=24), and heterosexuals, males and females who were neither IDUs nor MSM (n=118). 4 participants who did not indicate if they injected drugs and 2 who did not report on same-sex activities were excluded. The statistical significance of gender differences was assessed by Pearson’s chi square for categorical data and the Mann-Whitney ranks test for all numerical measures. For HIV exposure mode subgroups, we first performed chi square tests or Kruskal-Wallace ranks tests to examine whether there was a significant overall difference among subgroups. If overall significance was found, multiple pairwise comparison tests (chi square or Dunn’s pairwise tests of mean ranks) determined the significance of intergroup differences at p<0.05.

Based on prior research [1618], we hypothesized that levels of transmission risk behavior and medication nonadherence would be associated with demographic characteristics, indicators of mental health distress, and substance use. Therefore, we used these variables in multivariate tests to predict condom use, needle-sharing, and HAART adherence by conducting least squares and logistic regression analyses. For each outcome, a series of univariate regressions evaluated sociodemographic characteristics, psychosocial scales, perceived AIDS-related discrimination experiences, and substance use variables. All predictors that attained a minimum p-value of 0.10 in the univariate analysis were then entered as covariates in a multiple regression model for that outcome.

RESULTS

Participants

Table I shows participant demographic characteristics, overall and broken down by gender and by subsample. Participant mean age was 30.2 years and slightly varied across subgroups. Participants knew about their HIV-positive status for an average of 58.2 months. Both IDUs and IDU MSM knew of their HIV positive status for the longest periods and the heterosexual subgroup for the shortest period.

Table I.

Demographic characteristics of the HIV-positive sample in St. Petersburg, Russia (n=492)

Variable Subgroups by lifetime behaviorsb
Subgroups by sexb
Entire
sample
(n=492)a
Males
(n=252)
Females
(n=238)
Hetero-
sexual
(n=118)
IDU
(n=312)
MSM
(n=24)
IDU/
MSM
(n=34)
Demographic Characteristics
    Age [mean (median)] 30.2 (29) 31.9 (30)** 28.4 (27)* 29.5 (26)* 29.7 (29)* 38.0 (36.5)** 30.2 (29)*
    Presently married [% (n)] 23.0% (112) 18.0% (45)* 28.1% (66)** 34.5% (40)** 20.4% (63)* 12.5% (3)* 17.6% (6)
    Have some university education [% (n)] 24.0% (118) 20.2% (51)* 28.3 (67)** 30.8% (36)** 19.6% (61)* 66.7% (16)** 11.8% (4)*
    Currently in school [% (n)] 8.3% (41) 5.6% (14)* 11.3% (27)** 16.9% (20)** 5.1% (16)* 16.7% (4)** 2.9% (1)*
    Currently employed [% (n)] 53.0% (259) 56.8% (142) 48.9% (116) 66.1% (78)** 45.6% (141)* 79.2% (19)** 55.9% (19)
    Working fulltime [% (n)] 36.4% (178) 38.0% (95) 35.0% (83) 55.9% (66)** 26.5% (82)* 58.3% (14)** 41.2% (14)
Current sexual identity [% (n)]
    Exclusively heterosexual 86.2% (419) 87.1% (217) 85.1% (200) 92.2% (106) 90.0% (279) 13.0% (3) 79.4% (27)
    Primarily heterosexual 5.6% (27) 2.8% (7) 8.5% (20) 6.1% (7) 5.2% (16) 4.3% (1) 8.8% (3)
    Bisexual 4.5% (22) 3.2% (8) 6.0% (14) 1.7% (2) 4.5% (14) 26.1% (6) 0.0% (0)
    Primarily homosexual 1.2% (6) 2.4% (6) 0.0% (0) 0.0% (0) 0.0% (0) 21.7% (5) 2.9% (1)
    Exclusively homosexual 2.5% (12) 4.4% (11) 0.4% (1) 0.0% (0) 0.3% (1) 34.8% (8) 8.8% (3)
Number of months since HIV positive status
  known [mean (median)]
58.2 (55.5) 58.9 (60) 57.8 (53) 42.2 (28)* 64.1 (65)** 48.6 (33) 68.5 (72)**
a

Total n’s for gender and risk-category subsamples varied from the total number of participants assessed due to missing data on these variables

b

The value associated with the * is significantly lower (P < 0.05) than the value associated with the **

Patterns of Serostatus Disclosure and Perceived AIDS-Related Discrimination

Serostatus disclosure

Respondents most often shared information about their HIV status with close family members (80%, n=393), close friends (76%, n=372), and other HIV-positive people (68%, n=335). With respect to circumstances surrounding testing, 70% of participants (n=342) said that their testing was voluntary, 21% (n=105) were tested without their knowledge, and 8% (n=38) said testing was forced.

Discrimination situations

Table II shows the prevalence of perceived AIDS-related discrimination events encountered by persons in the sample. Nearly 25% of persons said they had been refused general health care, 16% refused dental care, and 21% isolated from other patients in a hospital or clinic because of their HIV status. 9% of persons said they had been refused health care for their HIV disease. 16% percent of participants were forced by physicians—and 6% by police—to provide information about their sexual or drug use partners, and 13% were forced by police to provide personal information about themselves. 12% of participants said they were forced by physicians or police to sign a written statement declaring their HIV positive status, a procedure used to create evidence that may form the basis for criminal charges against those suspected of putting others at risk. 11% were refused a job offer, 6% had been fired from their jobs, and 6% forced by family members to leave their homes because of their HIV status.

Table II.

Types of perceived discrimination based on HIV positive status reported by participants (n=492)a

Perceived Discrimination Situation Ever
encountering
situation
[% (n)]
Participants reporting discrimination
[% (n)]
Once Several times Regularly
Forced by police to provide information about sexual or drug use partners 6.2% (30) 2.3% (11) 2.7% (13) 1.2% (6)
Forced by police to provide personal information about myself 13.3% (65) 4.7% (23) 7.0% (34) 1.6% (8)
Forced by physicians to provide information about sexual or drug use partners 16.2% (79) 7.6% (37) 7.0% (34) 1.6% (8)
Refused general health care 25.0% (122) 13.1% (64) 8.6% (45) 3.3% (16)
Refused health care for HIV disease 9.2% (45) 4.1% (20) 3.3% (16) 1.8% (9)
Refused dental care 16.3% (69) 7.9% (38) 3.7% (18) 2.7% (13)
Isolated from other patients in a hospital or clinic 21.4% (104) 14.2% (69) 4.7% (23) 2.4% (12)
Forced by physicians or police to sign a statement declaring my HIV positive status 12.3% (60) 7.0% (34) 3.3% (15) 2.0% (10)
Refused a job offer 11.0% (53) 5.0% (24) 3.3% (16) 2.7% (13)
Fired from a job 6.5% (32) 3.9% (19) 1.0% (5) 1.6% (8)
Forced to leave my house by family members 5.9% (29) 2.9% (14) 1.4% (7) 1.6% (8)
a

Between 3 and 8 participants did not answer a given statement and are omitted from the percentage calculations for that item

Psychosocial Adjustment of Persons Living with HIV/AIDS

Psychosocial scale results are presented in Table III. The mean CES-D score was 20.6, with IDUs and IDU MSM both having significantly greater depression than the heterosexual subgroup. Using established CES-D cutoffs for interpreting levels of depression [20], 67.4% of persons (n=230) scored at or above 16, the indicator of possible clinical depression, and 39.0% (n=191) scored at or above 23, indicating probable clinical depression and major depressive symptomatology. The mean SPS total score for this sample was 74.1 (n=361), similar to the levels of social support found in a sample from the USA of HIV positive persons seeking mental health services before HAART was available [27]. Females’ social support scores were significantly higher than those of males, and also higher among the heterosexual subgroup than among IDUs. Finally, the mean STAI anxiety score was 44.2 (n=412). 51.3% (n=251) of participants scored at or above 43, comparable to medical patients with psychiatric components to their health problems [23]. 37.0% (n=181) of participants scored at or above 48 on the STAI, scores comparable to those found among psychiatric inpatients [23].

Table III.

Psychosocial and sexual behavior characteristics in the HIV-positive sample in St. Petersburg, Russia

Variable Subgroups by sexb
Subgroups by lifetime behaviorsb
Entire
sample
(n=492)a
Males
(n=252)
Females
(n=238)
Hetero-
sexual
(n=118)
IDU
(n=312)
MSM
(n=24)
IDU/
MSM
(n=34)
Psychosocial scales
  CES-D Depression [mean (SD)] 20.6 (10.0) 20.5 (9.3) 20.7 (10.7) 17.7 (9.6)* 21.2 (9.9)** 19.2 (10.0) 24.7 (8.5)**
  SPS Social Support [mean (SD)] 74.0 (10.1) 72.5 (9.5)* 75.7 (10.5)** 76.4 (10.7)** 73.3 (9.8)* 75.8 (11.1) 72.5 (10.3)
  STAI State Anxiety [mean (SD)] 44.2 (10.1) 44.7 (9.7) 43.7 (10.5) 43.2 (10.8) 44.5 (9.9) 43.8 (11.1) 44.7 (9.1)
STD history since HIV diagnosis
  Had an STD since becoming HIV+ [% (n)] 13.6% (67) 11.2% (28) 16.4% (39) 13.6% (16) 12.9% (40) 16.7% (4) 14.7% (5)
Numbers of sexual partners
  Number of lifetime partners [mean (median)]
    Opposite gender 48.4 (15) 50.2 (16.5)** 46.8 (10)* 15.6 (8)* 55.0 (18)** 22.2 (3)* 126.5 (15)**
    Same gender (males only) -- 24.9 (0) -- -- -- 94.3 (30)* 116.7 (1)**
  Number of partners since HIV diagnosis [mean (median)]
    Opposite gender 6.9 (2) 7.7 (2) 6.2 (2) 1.5 (1)* 9.4 (2)** 0.6 (0)* 6.2 (3)**
    Same gender (males only) -- 4.4 (2) -- -- -- 5.9 (3) 3.8 (2)
  Number of HIV-negative or status-unknown partners since HIV diagnosis [mean (median)]
    Opposite gender 5.4 (1) 6.8 (1) 4.1 (1) 0.8 (0)* 7.4 (1)** 0.7 (1) 4.2 (2.5)**
    Same gender (males only) -- 4.9 (2) -- -- -- 5.1 (2) 4.7 (3)
  Number of HIV-positive partners since HIV diagnosis [mean (median)]
    Opposite gender 2.4 (1) 2.6 (1) 2.1 (1) 1.0 (1)* 2.9 (1)** 1.0 (0.5) 2.9 (1)
    Same gender (males only) -- 1.6 (1) -- -- -- 1.7 (1) 1.4 (1)
Sexual practices with HIV-negative or status-unknown partners since HIV diagnosis
  Had HIV- or status-unknown partners [% (n)]
    Opposite-gender partners 58.0% (279) 54.7% (134) 62.0% (145) 53.5% (61)* 59.8% (183) 39.1% (9)* 73.5% (25)**
    Same-gender partners (males only) -- 11.8% (27) -- -- -- 70.8% (17)** 31.3% (10)*
  Had any unprotected intercourse with HIV- or status-unknown partners [% (n)]c
    Vaginal or anal sex, opposite-gender partners 51.9% (140) 49.6% (65) 54.0% (75) 43.3% (26) 57.4% (101) 33.3% (3) 37.5% (9)
    Anal sex, same-gender partners (males only) -- 50.0% (13) -- -- -- 47.1% (8) 55.6% (5)
  Mean percent (SD) of unprotected intercourse acts with HIV- or status-unknown partnersc
    Vaginal or anal sex, opposite-gender partners 29.9 (38.5) 28.4 (39.0) 31.2 (38.1) 25.3 (36.8) 33.3 (39.5) 7.8 (16.4) 23.1 (37.6)
    Anal sex, same-gender partners (males only) -- 20.4 (30.0) -- -- -- 20.0 (31.8) 21.1 (28.0)
Drug use and needle sharing [% (n)]
  Used any illicit drugs in past 3 months 41.2% (202) 51.2% (128)** 31.1% (74)* 10.2% (12)* 53.2% (165)** 12.5% (3)* 64.7% (22)**
  Injected drugs in past 3 monthsd 52.0% (180) 55.4% (112) 47.6% (68) -- 50.6% (158) -- 64.7% (22)
  Shared injection needles in past 3 monthse 47.2% (85) 49.1% (55) 44.1% (30) -- 46.8% (74) -- 50.0% (11)
a

Total n’s for gender and risk-category subsamples varied from the total number of participants assessed due to missing data on these variables. Percentages in the table are calculated based on net number of cases for each variable. Missing data typically did not exceed 2–3% of the total valid participants for any given analysis

b

The value associated with the * is significantly lower (P < 0.05) than the value associated with the **

c

Total n’s are those who had sex with HIV- or status-unknown partners

d

Limited to 346 participants who ever injected drugs

e

Limited to 180 participants who reported injecting drugs in the past 3 months

Transmission Risk Behavior among Persons Living with HIV/AIDS

Numbers of sexual partners

As shown in Table III, participants reported 48.4 (median=15) lifetime opposite-sex partners. Non-IDU MSM reported a mean of 94.3 (median=30) lifetime same-sex partners. The greatest number of opposite-gender partners was reported by IDU MSM (mean=126.5, median=15 partners), while the number of same-sex partners in this subgroup was lower (mean=116.7, median=1 partner). Since learning about their HIV positive status, participants in the sample as a whole reported a mean of 5.4 (median=1) opposite-gender seronegative partners or partners of unknown serostatus, and a mean of 2.4 (median=1) opposite-gender seropositive partners. As Table III shows, participants reported more HIV-negative sexual partners or partners whose serostatus was unknown than seroconcordant partners since learning of their HIV-positive status.

Sexual practices with HIV negative or status-unknown partners since HIV diagnosis

As Table III shows, 58% of sample members engaged in sex with opposite-gender HIV-negative or status-unknown partners, and 71% of non-IDU MSM had same-sex partners not known to be seroconcordant. Of them, a majority (52%) had some unprotected acts of vaginal or anal intercourse, and approximately one-third of all intercourse acts were unprotected.

STD history since HIV diagnosis

Almost 14% (n=67) of participants reported having an STD since HIV positive diagnosis, with the greatest proportion (17%, n=4) among MSM.

Drug injection and needle-sharing practices

Of the 346 IDUs in the sample, 52% (n=180) injected drugs during the past 3 months, and 36% (n=125) did so at least weekly. 23% (n=82) shared needles in the past 3 months, and almost one-third of them (n=25) shared needles at least weekly. Since IDUs in the sample knew of their HIV-positive status for an average of nearly five years, almost all of these needle-sharing events took place after learning of their positive serostatus.

HAART Adherence

As Table IV shows, 267 of the 492 participants in the sample (54%) had been offered HAART. Of them, 66.3% (n=177) were currently on a HAART regimen, 17.6% (n=47) had not yet initiated the therapy, and 16.1% (n=43) refused their recommended HAART treatment. Participants on HAART reported being on the regimen for a mean of 19.9 months. Only 4.8% (n=8) of participants missed at least 10% of their medication doses in the past two days, the level of nonadherence shown to produce suboptimal clinical response to antiretroviral regimens [28,29]. The most common reasons for missing medication—each reported by ≥10% of participants—were forgetting to take the medicine, being away from home, running out of pills, and experiencing unwanted side effects. With respect to interruption of a HAART regimen, the most common reasons were adverse effects, running out of medication, and alcohol or drug use.

Table IV.

Treatment adherence in the HIV-positive sample in St. Petersburg, Russia

Variable Subgroups by sexb
Subgroups by lifetime behaviorsb
Entire
sample
(n=492)a
Males
(n=252)
Females
(n=238)
Hetero-
sexual
(n=118)
IDU
(n=312)
MSM
(n=24)
IDU/
MSM
(n=34)
Among those offered HAART (n=267)
  Percentage (n) offered HAART but refused therapy 16.1% (43) 16.5% (22) 15.8% (21) 14.3% (10) 15.9% (26) 17.6% (3) 25.0% (4)
  Percentage (n) offered HAART but not yet started 17.6% (47) 18.8% (25) 16.5% (22) 18.6% (13) 18.3% (30) 5.9% (1) 18.8% (3)
  Percentage (n) offered HAART and on therapy 66.3% (177) 64.7% (86) 67.7% (90) 67.1% (47) 65.9% (108) 76.5% (13) 56.3% (9)
Among HAART recipients (n=177)
  Mean (median) number of months on HAART
    regimen
19.9 (10) 16.0 (7.5) 23.7 (12) 15.8 (8)* 20.9 (10.5) 34.2 (35)** 9.3 (4.5)*
  Percentage (n) missing ≥10% of pills, past 2 days 4.8% (8) 5.0% (4) 4.8% (4) 2.3% (1) 5.9% (6) 0.0% (0) 12.5% (1)
Most common reasons for ever missing pills among HAART recipients (n=177) [% (n)]
  Too busy, forgot to take medicine 27.8% (49) 28.2% (24) 26.7% (24) 30.4% (14) 26.9% (29) 30.8% (4) 22.2% (2)
  Was away from home 25.6% (45) 24.7% (21) 26.7% (24) 15.2% (7) 31.5% (34) 15.4% (2) 22.2% (2)
  Ran out of pills 11.9% (21) 10.6% (9) 13.3% (12) 6.5% (3) 14.8% (16) 15.4% (2) 0.0% (0)
  Had unwanted side effects from pills 11.4% (20) 10.6% (9) 12.2% (11) 8.7% (4) 11.1% (12) 30.8% (4) 0.0% (0)
  Reported not missing pills 32.8% (58) 29.1% (25) 36.7% (33) 44.7% (21) 29.6% (32) 23.1% (3) 22.2% (2)
Most common reasons for discontinuing HAART among those who were on HAART (n=177) [% (n)]
  Had strong unwanted side effects from pills 13.8% (24) 14.1% (12) 13.3% (12) 13.0% (6) 14.8% (16) 7.7% (1) 11.1% (1)
  Ran out of pills 10.2% (18) 9.4% (8) 11.1% (10) 6.5% (3) 13.0% (14) 7.7% (1) 0.0% (0)
  Because of alcohol or drug use 8.5% (15) 9.4% (8) 7.8% (7) 6.5% (3) 11.1% (12) 0.0% (0) 0.0% (0)
  Reported no HAART interruption 58.8% (104) 60.5% (52) 57.8% (52) 63.8% (30) 52.8% (57) 76.9% (10) 77.8% (7)
a

Total n’s for gender and risk-category subsamples varied from the total number of participants assessed due to missing data on these variables. Percentages in the table are calculated based on net number of cases for each variable. Missing data typically did not exceed 2–3% of the total valid participants for any given analysis

b

The value associated with the * is significantly lower (P < 0.05) than the value associated with the **

Multivariate predictors of risk behaviors and HAART taking

Table V reports significant multivariate predictors of risk behavior and HAART taking outcomes. As the table shows, percentage of condom use with HIV seronegative or status-unknown partners in the past 3 months was predicted by a single variable, number of AIDS-related discrimination situations encountered. Among participants who injected drugs in the past 3 months, any needle sharing was predicted by not having a primary partner, having no university education, perceiving a greater number of discrimination experiences, and a trend for greater depression.

Table V.

Multivariate Predictors of Risk Exposure Practices and HAART Taking and Adherence

Outcome and type of analysis Significant Multivariate Predictors Results
Percent of condom-protected intercourse acts with HIV- or status-unknown partners, multiple regressiona
Number of perceived AIDS-related discrimination experiences Beta=−0.20; p=0.012
Any sharing needles among IDUs in the past 3 months, multiple logistic regressionb
Not having a primary partner OR=2.24; 95% CI=(1.12, 4.45), p<.05
Having no university education OR=2.95; 95% CI=(1.08, 8.11), p<.05
Greater number of discrimination experiences perceived OR=1.09; 95% CI=(1.02, 1.17), p<.05
Greater depression OR=1.05; 95% CI=(1.00, 1.10), p<.10
Not being offered HAART, multiple logistic regressionc
Greater depression OR=1.04; 95% CI=(1.02, 1.07), p<.001
Severe HIV symptoms (ref.=no symptoms) OR=0.21; 95% CI=(0.10, 0.46), p<.001
Some HIV symptoms (ref.=no symptoms) OR=0.48; 95% CI=(0.31, 0.73), p<.01
Lower number of months since HIV+ diagnosis OR=0.99; 95% CI=(0.98, 0.99), p<.01
Being offered HAART but not accepting, multiple logistic regressiond
Greater depression OR=1.05; 95% CI=(1.01, 1.08), p<.01
Greater number of discrimination experiences perceived OR=1.06; 95% CI=(1.01, 1.12), p<.05
Missing any HAART medication dose in the past 2 days, multiple logistic regressione
Use of heroin in the past 3 months OR=7.03; 95% CI=(1.59, 31.10), p<.01
a

The regression model included 291 participants who had vaginal or anal intercourse since being diagnosed HIV seropositive with partner(s) of negative or unknown serostatus. Two variables (fulltime employment status and the SPS social support scale) that were significant in univariate analysis were not statistically significant in the multiple regression

b

The regression model included 181 participants who injected drugs in the past 3 months. Three variables (current employment status, the STAI anxiety scale, and the SPS social support scale) that were significant in univariate analysis were not statistically significant in the multiple regression

c

The regression model included 488 participants who were not missing on any of the predictors. Three variables (not married or living with someone, the STAI anxiety scale, and number of AIDS-related discrimination situation encountered) that were significant in univariate analysis were not statistically significant in the multiple regression

d

The regression model included the 267 participants who were offered HAART. Three variables (the STAI anxiety scale, the SPS social support scale, and the use of heroin/opium in the past 3 months) that were significant in univariate analysis were not statistically significant in the multiple regression

e

The regression model included the 177 participants who were HAART recipients. One variable (the number of discrimination experiences perceived) that was significant in univariate analysis was not statistically significant in the multiple regression

The analyses also examined multivariate predictors of three HAART-taking outcomes. First, 225 participants (46%) had not been offered HAART. Multivariate predictors of not being offered HAART were fewer months since HIV diagnosis, presence of fewer HIV disease symptoms, and greater depression. Second, because 43 participants (16%) who were offered HAART did not accept it, we next examined multivariate predictors of HAART refusal. Depression and number of discrimination situations encountered both independently predicted refusal to take HAART. Third, and with respect to adherence, missing any medication dose in the past 2 days was predicted by the use of heroin in the past 3 months.

DISCUSSION

HIV incidence in Russia and other post-Soviet countries has been among the world’s highest. The growth in number of people living with HIV in Russia is due to both negative and positive factors. On one hand, HIV incidence remains high in the region and contributes to the growth in cases. On the other hand, improved HAART access lowers disease mortality, resulting in longer life among persons with HIV in Russia. This study describes needs and behavioral characteristics of PLH in St. Petersburg, a major AIDS epicenter in Eastern Europe. Although not necessarily representative of the country, this study’s findings highlight important issues likely to characterize PLH elsewhere in the region.

High-risk sexual and needle sharing practices were common. Many participants had multiple partners since learning about their HIV positive status, and the number of participants reporting sex with HIV-negative or unknown status partners was high, particularly among IDUs, MSM, and IDUs who were also MSM. Over half of participants had unprotected intercourse with HIV-negative or status-unknown partners, and about one-third of intercourse acts with these partners were unprotected. Women and non-MSM IDUs reported the greatest levels of unprotected behavior. Further, over half of IDUs reported recent drug injection and almost a quarter of drug users shared needles in the past three months. These findings demonstrate the need to implement programs designed to encourage sexual risk reduction for infected persons seen in HIV clinical, social support, or other care service programs. The findings also highlight the need for improved harm reduction interventions directed toward PLH drug users who continue to share needles. Contemporary drug treatment is often unavailable in Russia, and Russian federal laws prohibit the use of opiate replacement therapies such as methadone. Such drug use policies may contribute to high levels of continuing drug use and needle sharing among IDU PLH in the country.

Nearly half of PLH in this sample reported that they had not been offered HAART. Clinicians in Russia usually follow traditional western guidelines for the initiation of antiretrovirals based on declining CD4 counts and disease progression, and this was borne out by the present study’s finding that shorter duration of positive serostatus and fewer HIV illness symptoms predicted not being offered HAART. Russian HIV care authorities acknowledge that the number of PLH in Russia in need of antiretroviral therapy greatly exceeds the number receiving it [30]. For example, as of 2008, 25% of all PLH were estimated to be in need of HAART, while only about half of this number were receiving it [30]. Steps to expand HAART access to cover persons requiring it based on current standards are urgently needed. Beyond this, “test and treat” strategies have recently been advocated and propose initiating antiretroviral therapy much earlier following HIV-positive diagnosis with the aim of decreasing infectivity to others [31]. If such early-treatment initiation is found to carry health and public health benefits, expanded use of HAART for PLH in Russia may need to take place.

A relatively high proportion of PLH reported that they declined a recommendation to begin HAART. Among those on the regimen, most participants reported that they took over 90% of their HAART medication doses in the last two days. This may be because contemporary HAART regimens are less complicated than in the past. However, we relied on self-reports of adherence for only a 2-day period, and self-report data can reflect an underreporting of socially undesirable responses. Access to HAART in Russia has been challenged by an insufficient HAART treatment service infrastructure with limited capacity to manage adverse treatment effects [32] and co-infections [33], and less opportunity for IDUs to receive HAART [1]. Additional studies need to employ more comprehensive methods to evaluate HAART treatment adherence and to identify reasons for treatment refusal.

Levels of depression, anxiety and poor social supports in this sample of Russian PLH were high and prevalent. Reports of discrimination were also common and show that AIDS-related stigma remains high in Russia. High prevalence and severity of emotional distress underscores the need to integrate improved mental health services into care programs for PLH in Russia. Attention to mental health indicators and AIDS-related stigma are important for the psychological well-being of PLH and also from a public health perspective, because both perceived discrimination and depression predicted engaging in high transmission risk sexual and needle-sharing practices as well as HAART therapy refusal.

Finally, some important differences emerge when comparing key findings of the current study with those from a 2002 pre-HAART report [3]. Although the samples were recruited in similar settings and ways, the mean age of PLH in the present sample was 5 years older and the mean duration of knowledge of one’s HIV positive serostatus was 5 years rather than the 2 years found in the 2002 sample. Consistent with national Russian HIV statistics, the representation of females was higher and the proportion of those reporting heterosexual exposure almost doubled between the 2002 and 2008 samples.

Differences were observed in sexual behavior between the 2002 and the current studies. Participants in the present sample reported greater numbers of sexual partners since learning about their HIV-positive status, perhaps because of their longer mean term of living with HIV. Of particular concern is that these differences were primarily due to a greater number of sexual partners not known to be seroconcordant. Further, over half of participants had unprotected intercourse with such partners. Modestly higher levels of condom use were found in 2008 relative to 2002. The approximately one-quarter of HIV-infected IDUs who reported needle-sharing in the past three months was slightly lower than the one-third who reported doing so in the 2002 study, but the current level of injection-related transmission behavior remains a cause of great public health concern.

The study has several limitations. Questionnaire-based assessments are subject to recall bias. The use of self-administered questionnaires rather than interview administration by ACASI may have resulted in the underreporting of stigmatized behavior. Because they were approached in medical, public health, and social service settings, participants’ responses may have been biased due to social desirability. Finally, this cross-sectional survey study—although representing PLH recruited from multiple access points—does not include individuals outside of care systems and those who declined to participate.

Policies and public health programs for PLH need to focus on comprehensive strategies to address continuing transmission risk behaviors as well as improve the psychosocial well-being, social circumstances, and other contexts in which these risks occur. It is imperative that PLH in Russia should receive improved and tailored services to reduce HIV transmission risk behaviors and improve life quality.

Acknowledgment

Conduct of this research and preparation of the paper were supported by grants P30-MH52776 and R24-MH082471 from the U.S. National Institute of Mental Health. The authors thank the study participants and also Anastasia G. Kuyanova, Rudolph A. Amirkhanian, Maria Donskaya, and Roman A. Khoursine at ICART; Aza G. Rakhmanova, Svetlana V. Zhukova, Irina D. Yevseyeva, and Vladislav N. Koryagin at the Botkin Hospital for Infectious Diseases; Natalya V. Bodosova, Elena V. Stepanova, Olga V. Koltsova, and Olga N. Leonova at the AIDS Center, Infectious Disease Hospital #10 and PLH self-support groups in St. Petersburg; and Ruzanna Aleksanyan, Timothy L. McAuliffe, Tom Lytle, Anton M. Somlai, David W. Seal, Steven D. Pinkerton, Michelle Anderson-Lamb, and Allan C. Hauth at the Medical College of Wisconsin for their assistance in the research.

Reference List

  • 1.UNAIDS. Fact Sheet: Eastern Europe and Central Asia. Geneva: UNAIDS; 2009. Dec, [Accessed February 27, 2010]. Available at: http://data.unaids.org/pub/FactSheet/2009/20091124_FS_eeca_en.pdf. [Google Scholar]
  • 2.Human Rights Watch. [Accessed February 27, 2010];Lessons Not Learned: Human Rights Abuses and HIV/AIDS in the Russian Federation. 2004 Apr 28;:D1605. Available at: http://www.hrw.org/sites/default/files/reports/russia0404.pdf.
  • 3.Amirkhanian YA, Kelly JA, McAuliffe TL. Psychosocial needs, mental health, and HIV transmission risk behavior among people living with HIV/AIDS in St Petersburg, Russia. AIDS. 2003;17:2367–2374. doi: 10.1097/00002030-200311070-00012. [DOI] [PubMed] [Google Scholar]
  • 4.United Nations Office on Drugs and Crime, Vienna. World drug report 2009. New York: United Nations; 2009. [Accessed February 27, 2010]. Available at: http://www.unodc.org/documents/wdr/WDR_2009/WDR2009_eng_web.pdf. [Google Scholar]
  • 5.Federal Scientific Methodic Center for HIV Fight and Prevention. VICh-infektsiya: Informatsionnyy Byulleten’ [HIV infection: Informational Bulletin] (in Russian) No. 33. Moscow: Federal Scientific Methodic Center for HIV Fight and Prevention; 2009. [Accessed February 27, 2010]. Available at: http://www.hivrussia.org/files/bul_33.pdf. [Google Scholar]
  • 6.Federal Scientific Methodic Center for HIV Fight and Prevention. [Accessed February 27, 2010];The amount of HIV-infected persons in Russia by October 31, 2009. Available at: http://www.hivrussia.org/stat/2009/10.shtml.
  • 7.UNAIDS/WHO Working Group on Global HIV/AIDS and STI Surveillance. Epidemiological fact sheet on HIV and AIDS, Russian Federation: 2008 update. Geneva: UNAIDS/WHO Working Group on Global HIV/AIDS and STI Surveillance; 2008. Dec, [Accessed February 27, 2010]. Available at: http://apps.who.int/globalatlas/predefinedReports/EFS2008/full/EFS2008_RU.pdf. [Google Scholar]
  • 8.Federal Service for Surveillance of Consumer Rights Protection and Human Well-Being of the Russian Federation. [Accessed February 27, 2010];Country progress report of the Russian Federation on the implementation of the Declaration of Commitment on HIV/AIDS. 2008 Available at: http://www.unaids.ru/files/publications/UNGASS%20report%20Russia%202008_EN.pdf.
  • 9.Centers for Disease Control and Prevention. HIV/AIDS Surveillance Report, 2007. Vol. 19. Atlanta: US Department of Health and Human Services, Centers for Disease Control and Prevention; 2009. [Accessed February 27, 2010]. Available at: http://www.cdc.gov/hiv/topics/surveillance/resources/reports/2007report/default.htm. [Google Scholar]
  • 10.Kissin DM, Zapata L, Yorick R, et al. HIV seroprevalence in street youth, St. Petersburg, Russia. AIDS. 2007;21(17):2333–2340. doi: 10.1097/QAD.0b013e3282f125b3. [DOI] [PubMed] [Google Scholar]
  • 11.Kalichman SC, Rompa D, Cage M. Sexually transmitted infections among HIV seropositive men and women. Sex Transm Infect. 2000;76:350–354. doi: 10.1136/sti.76.5.350. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Crepaz N, Marks G. Towards an understanding of sexual risk behavior in people living with HIV: a review of social, psychological, and medical findings. AIDS. 2002;16:135–149. doi: 10.1097/00002030-200201250-00002. [DOI] [PubMed] [Google Scholar]
  • 13.Rotheram-Borus MJ, Lee M, Zhou S, et al. Variation in health and risk behavior among youth living with HIV. AIDS Educ Prev. 2001;13:42–54. doi: 10.1521/aeap.13.1.42.18923. [DOI] [PubMed] [Google Scholar]
  • 14.Fogarty L, Roter D, Larson S, Burke J, Gillespie J, Levy R. Patient adherence to HIV medication regimens: a review of published and abstract reports. Patient Educ Couns. 2002;46:93–108. doi: 10.1016/s0738-3991(01)00219-1. [DOI] [PubMed] [Google Scholar]
  • 15.Weinhardt LS, Kelly JA, Brondino MJ, et al. HIV transmission risk behavior among men and women living with HIV in four US cities. J Acquir Immune Defic Syndr Hum Retrovirol. 2004;36:1057–1066. doi: 10.1097/00126334-200408150-00009. [DOI] [PubMed] [Google Scholar]
  • 16.Kalichman SC. Co-occurrence and treatment nonadherence and continued HIV transmission risk behaviors: Implications for positive prevention interventions. Psychosom Med. 2008;70:593–597. doi: 10.1097/PSY.0b013e3181773bce. [DOI] [PubMed] [Google Scholar]
  • 17.Sikkema KJ, Watt MH, Drabkin AS, Meade CS, Hansen NB, Pence BW. Mental health treatment to reduce HIV transmission risk behavior: a positive prevention model. AIDS Behav. 2010;14:252–262. doi: 10.1007/s10461-009-9650-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Glass TR, Battegay M, Cavassini M, et al. Longitudinal analysis of patterns and predictors of changes in self-reported adherence to antiretroviral therapy: Swiss HIV Cohort Study. J Acquir Immune Defic Syndr. 2010;54:197–203. doi: 10.1097/QAI.0b013e3181ca48bf. [DOI] [PubMed] [Google Scholar]
  • 19.Johnson MO, Charlebois E, Morin SF, Remien RH, Chesney MA. Effects of a behavioral intervention on antiretroviral medication adherence among people living with HIV: the healthy living project randomized controlled study. J Acquir Immune Defic Syndr Hum Retrovirol. 2007;46:574–580. doi: 10.1097/qai.0b013e318158a474. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Radloff LS. The CES-D Scale: a self-report depression scale for research in the general population. Appl Psychol Measure. 1977;1:385–401. [Google Scholar]
  • 21.Radloff LS, Locke BZ. The community mental health assessment survey and CES-D Scale. In: Weissman MM, Myers JK, Ross CE, editors. Community Surveys of Psychiatric Disorders. New Brunswick, NJ: Rutgers University Press; 1986. pp. 177–187. [Google Scholar]
  • 22.Kalichman SC, Rompa D, Cage M. Distinguishing between overlapping somatic symptoms of depression and HIV disease in people living with HIV/AIDS. J Nervous Mental Dis. 2000;188:662–670. doi: 10.1097/00005053-200010000-00004. [DOI] [PubMed] [Google Scholar]
  • 23.Spielberger CD. State-Trait Anxiety Inventory (Form Y) Palo Alto, CA: Consulting Psychologists Press; 1983. [Google Scholar]
  • 24.Cutrona CE. Ratings of social support by adolescents and adult informants: degree of correspondence and prediction of depression symptoms. J Personality Soc Psychol. 1989;57:723–730. doi: 10.1037//0022-3514.57.4.723. [DOI] [PubMed] [Google Scholar]
  • 25.Cutrona CE, Russell DW. The provisions of social relationships and adaptation to stress. Adv Personal Relationships. 1987;1:37–67. [Google Scholar]
  • 26.Kelly JA, Murphy DA, Bahr GR, et al. Factors associated with severity of depression and high-risk sexual behavior among persons diagnosed with human immunodeficiency virus (HIV) infection. Health Psychol. 1993;12:215–219. doi: 10.1037//0278-6133.12.3.215. [DOI] [PubMed] [Google Scholar]
  • 27.Kelly JA, Murphy DA, Bahr GR, et al. Outcome of cognitive-behavioral and support group brief therapies for depressed HIV-infected persons. Am J Psychiatry. 1993;150:1679–1686. doi: 10.1176/ajp.150.11.1679. [DOI] [PubMed] [Google Scholar]
  • 28.Paterson DL, Swindells S, Mohr J, et al. Adherence to protease inhibitor therapy and outcomes in patients with HIV infection. Ann Intern Med. 2000;133:21–30. doi: 10.7326/0003-4819-133-1-200007040-00004. [DOI] [PubMed] [Google Scholar]
  • 29.García de Olalla P, Knobel H, Carmona A, Guelar A, Lopez-Colomes JL, Cayla JA. Impact of adherence and highly active antiretroviral therapy on survival in HIV-infected patients. J Acquir Immune Defic Syndr Hum Retrovirol. 2002;30:105–110. doi: 10.1097/00042560-200205010-00014. [DOI] [PubMed] [Google Scholar]
  • 30.Ladnaya NN. Key epidemiological indicators and trends of HIV infections in the Russian Federation. Report of the Federal Scientific-Methodological Center for Prevention and Fight with AIDS. 2010 Sep 30; [Google Scholar]
  • 31.Dieffenbach CW, Fauci AS. Universal voluntary testing and treatment for prevention of HIV transmission. JAMA. 2009;301:2380–2382. doi: 10.1001/jama.2009.828. [DOI] [PubMed] [Google Scholar]
  • 32.FrontAIDS. [Accessed February 27, 2010];ARV therapy in Russia: barriers to treatment delivery. Alternative report to UN General Assembly Special Session (UNGASS) on HIV/AIDS 2008. Available at: http://www.icaso.org/resources/Shadow_russia1107ru.full%20report.pdf.
  • 33.The HIV/TB Study Writing Group. Mortality from HIV and TB coinfections is higher in Eastern Europe than in Western Europe and Argentina. AIDS. 2009;23:2485–2495. doi: 10.1097/QAD.0b013e3283326879. [DOI] [PubMed] [Google Scholar]

RESOURCES