Socio-economic differences in HIV/AIDS mortality in South Africa

Geographic variation in 5-year mortality following HIV diagnosis: implications for clinical interventions

Characterizing spatial distribution of HIV outcomes is vital for targeting interventions to areas most at risk. We performed spatial analysis to identify geographic clusters and factors associated with mortality in KwaZulu-Natal, South Africa. We utilized Sizanani trial (NCT01188941) data, which enrolled participants August 2010-January 2013 and obtained vital status at 5.8 (IQR 5.0-6.4) years of follow-up. We mapped geocoded addresses to 2011 Census-defined small area layer (SAL) centroids, used Kulldorff's spatial scan statistic to identify mortality clusters, and compared socio-demographic factors for SALs within and outside mortality clusters. We assigned 1,143 participants living with HIV (260 [23%] of whom died during follow-up) to 677 SALs. One lower mortality cluster (n = 90, RR = 0.23, p = 0.022) was identified near a hospital outside Durban. SALs in the cluster were younger (24y vs 25y, p < 0.001); had fewer bedrooms/household (3 vs 4, p < 0.001); had more females (52% vs 51%, p = 0.013) and residents with no schooling past age 20 (4% vs 3%, p < 0.001) or no education at all (4% vs 3%, p < 0.001); had fewer residents with income >3,200 ZAR/month (5% vs 9%, p < 0.001); and had reduced access to piped water (p < 0.001), refuse disposal (p < 0.001), and toilets (p < 0.001). Targeted interventions may improve outcomes in areas with similar characteristics.

Income inequality and pandemics: insights from HIV/AIDS and COVID-19-a multicountry observational study

OBJECTIVES

Assess the relationship between income inequality and HIV incidence, AIDS mortality and COVID-19 mortality.

DESIGN

Multicountry observational study.

SETTING

217 countries for HIV/AIDS analysis, 151 countries for COVID-19 analysis.

PARTICIPANTS

Used three samples of national-level data: a sample of all countries with available data (global sample), a subsample of African countries (African sample) and a subsample excluding African countries (excluding African sample).

MAIN OUTCOME MEASURES

HIV incidence rate per 1000 people, AIDS mortality rate per 100 000 people and COVID-19 excess mortality rate per 100 000 people. The Gini index of income inequality was the primary explanatory variable.

RESULTS

A positive and significant relationship exists between the Gini index of income inequality and HIV incidence across all three samples (p<0.01), with the effect of income inequality on HIV incidence being higher in the African sample than in the rest of the world. Also, a statistically positive association exists for all samples between income inequality and the AIDS mortality rate, as higher income inequality increases AIDS mortality (p<0.01). For COVID-19 excess mortality rate, a positive and statistically significant relationship exists with the Gini index for the entire sample and the excluding African sample (p<0.05), but the African sample alone did not deliver significant results (p<0.1).

CONCLUSION

COVID-19 excess deaths, HIV incidence and AIDS mortality are significantly associated with income inequality globally-more unequal countries have a higher HIV incidence, AIDS mortality and COVID-19 excess deaths than their more equal counterparts. Income inequality undercuts effective pandemic response. There is an urgent need for concerted efforts to tackle income inequality and to build pandemic preparedness and responses that are adapted and responsive to highly unequal societies, prioritising income inequality among other social determinants of health.

Risk Factors for Hospitalization or Death Among Adults With Advanced HIV at Enrollment for Care in South Africa: A Secondary Analysis of the TB Fast Track Trial

Background

Individuals with advanced HIV experience high mortality, especially before and during the first months of antiretroviral therapy (ART). We aimed to identify factors, measurable in routine, primary health clinic-based services, associated with the greatest risk of poor outcome.

Methods

We included all individuals enrolled in the standard-of-care arm of a cluster-randomized trial (TB Fast Track); adults attending participating health clinics with CD4 ≤150 cells/µL and no recent ART were eligible. Associations between baseline exposures and a composite outcome (hospitalization/death) over 6 months were estimated using multivariable Cox regression.

Results

Among 1515 individuals (12 clinics), 56% were female, the median age was 36 years, and the median CD4 count was 70 cells/μL. Within 6 months, 89% started ART. The overall rate of hospitalization/death was 32.5 per 100 person-years (218 outcomes/671 person-years). Lower baseline CD4 count (adjusted hazard ratio [aHR], 2.27 for <50 vs 100-150 cells/µL; 95% CI, 1.57-3.27), lower body mass index (aHR, 2.13 for BMI <17 vs ≥25 kg/m²; 95% CI, 1.31-3.45), presence of tuberculosis-related symptoms (aHR, 1.87 for 3-4 symptoms vs none; 95% CI, 1.20-2.93), detectable urine lipoarabinomannan (aHR, 1.97 for 1+ positivity vs negative; 95% CI, 1.37-2.83), and anemia (aHR, 4.42 for severe anemia [hemoglobin <8 g/dL] vs none; 95% CI, CI 2.38-8.21) were strong independent risk factors for hospitalization/death.

Conclusions

Simple measures that can be routinely assessed in primary health care in resource-limited settings identify individuals with advanced HIV at high risk of poor outcomes; these may guide targeted interventions to improve outcomes.

Tuberculosis and HIV/AIDS-attributed mortalities and associated sociodemographic factors in Papua New Guinea: evidence from the comprehensive health and epidemiological surveillance system

OBJECTIVE

Tuberculosis (TB) and HIV/AIDS are public health concerns in Papua New Guinea (PNG). This study examines TB and HIV/AIDS mortalities and associated sociodemographic factors in PNG.

METHOD

As part of a longitudinal study, verbal autopsy (VA) interviews were conducted using the WHO 2016 VA Instrument to collect data of 926 deaths occurred in the communities within the catchment areas of the Comprehensive Health and Epidemiological Surveillance System from 2018 to 2020.InterVA-5 cause of deaths analytical tool was used to assign specific causes of death (COD). Multinomial logistic regression analyses were conducted to identify associated sociodemographic factors, estimate adjusted ORs (AOR), 95% CIs and p values.

RESULT

TB and HIV/AIDS were the leading CODs from infectious diseases, attributed to 9% and 8% of the total deaths, respectively.Young adults (25-34 years) had the highest proportion of deaths from TB (20%) and the risk of dying from TB among this age group was five times more likely than those aged 75+ years (AOR: 5.5 (95% CI 1.4 to 21.7)). Urban populations were 46% less likely to die from this disease compared rural ones although the difference was not significant (AOR: 0.54 (95% CI 0.3 to 1.0)). People from middle household wealth quintile were three times more likely to die from TB than those in the richest quintile (AOR: 3.0 (95% CI 1.3 to 7.4)).Young adults also had the highest proportion of deaths to HIV/AIDS (18%) and were nearly seven times more likely to die from this disease compared with those aged 75+years (AOR: 6.7 (95% CI 1.7 to 25.4)). Males were 48% less likely to die from HIV/AIDS than females (AOR: 0.52 (95% CI 0.3 to 0.9)). The risk of dying from HIV/AIDS in urban population was 54% less likely than their rural counterparts (AOR: 0.46 (95% CI 0.2 to 0.9)).

CONCLUSION

TB and HIV/AIDS interventions are needed to target vulnerable populations to reduce premature mortality from these diseases in PNG.

Explaining external economic support inequality among households affected by HIV/AIDS in Tanzania: an Oaxaca Blinder decomposition analysis

BACKGROUND

HIV/AIDS remains the leading cause of death in sub-Saharan Africa. Due to multiple constraints experienced by households that seem to be disproportionally affected, families generally seek assistance from the community and external economic support. Previous researchers studied socioeconomic and gender inequality in HIV/AIDS prevalence in sub-Saharan African countries. However, very few researchers have paid attention to the external economic support for HIV/AIDS affected households in Tanzania. This study investigates the difference in economic support among households affected or not affected by the HIV/AIDS epidemic in Tanzania.

METHODS

Data used stemmed from the Tanzania HIV Impact Survey 2016-2017 (THIS) of the Population-based HIV Impact Assessment (PHIA) project, collected between 2016 and 2017 in Tanzania. The study population were the heads of households (adults) with age greater than 15. The dependent variable for the study was economic support. This consisted of both material and non-material assistance obtained from outside the household. Socio-demographic (economics) characteristics constituted the predictors of the study. Descriptive statistics and econometric modelling were used to analyse determinants associated with external economic support. Oaxaca-Blinder decomposition method was also performed to investigate the difference in economic support depending on households' serological status in Tanzania.

RESULTS

A total of 12,008 households were included. Almost 11% of the household heads indicated that their households received economic support. HIV/AIDS affected 7% of households. The mean age of the household heads was 45 years (SD ± 15) with a range of 16-80. The majority of household heads were men (72%). Being a household head affected by HIV/AIDS increases the probability to receive external economic support (p < 0.05). The difference in external economic support between the two groups (HIV/AIDS and no- HIV/AIDS households) was - 0.032 (p < 0.01). This gap was observed to favour households affected by HIV/AIDS. Almost 72% (- 0.023/- 0.032) of this difference was explained by characteristics such as the wealth index (p < 0.01), residence area (urban) (p < 0.01), marital status (widowed (p < 0.05) and divorced or separated) (p < 0.1) and age (p < 0.01).

CONCLUSION

The difference in economic support across households affected or not affected by HIV/AIDS was explained by wealth index, residence area, marital status and age. These findings represent important implications for health policy regarding future economic support strategies for HIV/AIDS-affected households.

Factors associated with low knowledge about sexually transmitted infections in subnormal agglomerate, in the Brazilian Amazon

BACKGROUND

Populations living in subnormal agglomerates in urban areas are more vulnerable to infections, including sexually transmitted infections (STIs). In these groups, inadequate knowledge about sexually transmitted infections can further increase the risk of contracting STIs.

AIM

We investigated the factors associated with low knowledge about STIs in a peripheral population in the Brazilian Amazon.

METHODS

This cross-sectional study was conducted in Belém, in the Amazon region that has a high percentage of subnormal agglomerates in an urban area and a high incidence of STIs. Random sampling was adopted which resulted in a sample of 320 participants. To assess knowledge about STIs, the self-administered Sexually Transmitted Disease Knowledge Questionnaire was used. To assess aspects of vulnerability, a questionnaire was constructed which is linked to individual, social, and programmatic factors. The chi-square test, G test, and ordinal regression analyses were all performed.

FINDINGS

The sample of this study was composed of 320 participants. The mean age of the participants was 46.09 years. 37.5% (120), 50.6% (162), and 11.9% (38) showed low, medium, and high knowledge, respectively. Multiple analysis revealed that the factors associated with higher chance of having smaller knowledge about sexually transmitted infections were single/separated/divorced/widow(er) marital status (AOR: 1.80, CI: 1.15-2.84, P = 0.01); income equal to or less than one minimum wage (1.98, CI: 1.21-3.17, P = 0.00); equal to or over than 52 years old (AOR: 1.99, CI: 1.25-3.17, P = 0.00); lack of guidance by a health professional (AOR: 1.59, CI: 1.01-2.51, P = 0.04). Our results show that this community suffer from suboptimal levels of knowledge on STIs, which are linked to individual, social, and programmatic factors. Characterising the risk and vulnerabilities factors allows for carrying out appropriate interventions for populations living in subnormal agglomerates in urban area.

Changing Inequalities in Health-Adjusted Life Expectancy by Income and Race in South Africa

Trends in socioeconomic-related health inequalities is a particularly pertinent topic in South Africa where years of systematic discrimination under apartheid bequeathed a legacy of inequalities in health outcomes. We use three nationally representative datasets to examine trends in income- and race-related inequalities in life expectancy (LE) and health-adjusted life expectancy (HALE) since the beginning of the millennium. We find that, in aggregate, (HA)LE at age five fell substantially between 2001 and 2007, but then increased to above 2001 levels by 2016, with the largest changes observed among prime age adults. Income- and race-related inequalities in both LE and HALE favor relatively well-off and non-Black South Africans in all survey years. Both income- and race-related inequalities in (HA)LE grew between 2001 and 2007, and then narrowed between 2007 to 2016. However, while race-related inequalities in (HA)LE in 2016 were smaller than in 2001, income-related inequalities in (HA)LE were greater in 2016 than in 2001. Based on the patterns and timing observed, these trends in income- and race-related inequalities in (HA)LE are most likely related to the delayed initial policy response to the HIV epidemic, the subsequent rapid and effective rollout of anti-retroviral therapy, and the changes in the overall income distribution among Black South Africans. In particular, the growth of the Black middle class narrowed the HA(LE) gap with the non-Black population but reinforced income-related inequalities.

Predictors of mortality in treatment experienced HIV-infected patients in northern Tanzania

Background

While factors that drive early mortality among people living with HIV (PLWH) initiating antiretroviral therapy (ART) in sub-Saharan Africa (SSA) have been described, less is known about the predictors of long-term mortality for those with ART experience.

Methods

PLWH and on ART attending two HIV treatment clinics in Moshi, Tanzania were enrolled from 2008 through 2009 and followed for 3.5 years. Demographic, psychosocial, and clinical information were collected at enrollment. Plasma HIV RNA measurements were collected annually. Cause of death was adjudicated by two independent reviewers based on verbal autopsy information and medical records. Bivariable and multivariable analyses were conducted using Cox proportional hazard models to identify predictors of mortality.

Results

The analysis included 403 participants. The median (IQR) age in years was 42 (36–48) and 277 (68.7%) participants were female. The proportion of participants virologically suppressed during the 4 collection time points was 88.5%, 94.7%, 91.5%, and 94.5%. During follow-up, 24 participants died; the overall mortality rate was 1.8 deaths per 100 person-years. Of the deaths, 14 (58.3%) were suspected to be HIV/AIDS related. Predictors of mortality (adjusted hazard ratio, 95% confidence interval) were male sex (2.63, 1.01–6.83), secondary or higher education (7.70, 3.02–19.60), receiving care at the regional referral hospital in comparison to the larger zonal referral hospital (6.33, 1.93–20.76), and moderate to severe depression symptoms (6.35, 1.69–23.87).

Conclusions

As ART coverage continues to expand in SSA, HIV programs should recognize the need for interventions to promote HIV care engagement for men and the integration of mental health screening and treatment with HIV care. Facility-level barriers may contribute to challenges faced by PLWH as they progress through the HIV care continuum, and further understanding of these barriers is needed. The association of higher educational attainment with mortality merits further investigation.

Mortality due to acquired immunodeficiency syndrome and associated social factors: a spatial analysis

OBJECTIVE

To analyze the spatial pattern of AIDS mortality and social factors associated with its occurrence.

METHODS

An ecological study that considered 955 AIDS deaths of residents in Piauí, reported in the Mortality Information System (MIS) from 2007 to 2015. Non-spatial and spatial regression models were used to identify social determinants of AIDS mortality, with a significance of 5%.

RESULTS

The predictors of AIDS mortality were illiteracy rate in males (p = 0.020), proportion of households with water supply (p = 0.015), percentage of people in households with inadequate walls (p = 0.022), percentage of people in households vulnerable to poverty and in whom no one has completed primary education (p = 0.000) and percentage of people in households vulnerable to poverty and dependent on the elderly (p = 0.009).

CONCLUSION

Social indicators related to education, job and income generation and housing were associated with AIDS mortality.

African Lions and Zoonotic Diseases: Implications for Commercial Lion Farms in South Africa

Simple Summary

In South Africa, thousands of African lions are bred on farms for commercial purposes, such as tourism, trophy hunting, and traditional medicine. Lions on farms often have direct contact with people, such as farm workers and tourists. Such close contact between wild animals and humans creates opportunities for the spread of zoonotic diseases (diseases that can be passed between animals and people). To help understand the health risks associated with lion farms, our study compiled a list of pathogens (bacteria, viruses, parasites, and fungi) known to affect African lions. We reviewed 148 scientific papers and identified a total of 63 pathogens recorded in both wild and captive lions, most of which were parasites (35, 56%), followed by viruses (17, 27%) and bacteria (11, 17%). This included pathogens that can be passed from lions to other animals and to humans. We also found a total of 83 diseases and clinical symptoms associated with these pathogens. Given that pathogens and their associated infectious diseases can cause harm to both animals and public health, we recommend that the lion farming industry in South Africa takes action to prevent and manage potential disease outbreaks.

Abstract

African lions (Panthera leo) are bred in captivity on commercial farms across South Africa and often have close contact with farm staff, tourists, and other industry workers. As transmission of zoonotic diseases occurs through close proximity between wildlife and humans, these commercial captive breeding operations pose a potential risk to thousands of captive lions and to public health. An understanding of pathogens known to affect lions is needed to effectively assess the risk of disease emergence and transmission within the industry. Here, we conduct a systematic search of the academic literature, identifying 148 peer-reviewed studies, to summarize the range of pathogens and parasites known to affect African lions. A total of 63 pathogenic organisms were recorded, belonging to 35 genera across 30 taxonomic families. Over half were parasites (35, 56%), followed by viruses (17, 27%) and bacteria (11, 17%). A number of novel pathogens representing unidentified and undescribed species were also reported. Among the pathogenic inventory are species that can be transmitted from lions to other species, including humans. In addition, 83 clinical symptoms and diseases associated with these pathogens were identified. Given the risks posed by infectious diseases, this research highlights the potential public health risks associated with the captive breeding industry. We recommend that relevant authorities take imminent action to help prevent and manage the risks posed by zoonotic pathogens on lion farms.

Food insecurity and self-reported cholera in Haitian households: An analysis of the 2012 Demographic and Health Survey

Background

Both cholera and food insecurity tend to occur in impoverished communities where poor access to food, inadequate sanitation, and an unsafe water supply often coexist. The relationship between the two, however, has not been well-characterized.

Methods

We performed a secondary analysis of household-level data from the 2012 Demographic and Health Survey in Haiti, a nationally and sub-nationally representative cross-sectional household survey conducted every five years. We used multivariable logistic regression to evaluate the relationship between household food security (as measured by the Household Hunger Scale) and (1) reported history of cholera since 2010 by any person in the household and (2) reported death by any person in the household from cholera (among households reporting at least one case). We performed a complete case analysis because there were <1% missing data for all variables.

Results

There were 13,181 households in the survey, 2,104 of which reported at least one household member with history of cholera. After adjustment for potential confounders, both moderate hunger in the household [Adjusted Odds Ratio (AOR) 1.51, 95% Confidence Interval (CI) 1.30–1.76; p <.0001] and severe hunger in the household (AOR 1.73, 95% CI 1.45–2.08; p <.0001) were significantly associated with reported history of cholera in the household. Severe hunger in the household (AOR 1.85, 95% CI 1.05–3.26; p = 0.03), but not moderate hunger in the household, was independently associated with reported death from cholera in households with at least one case of cholera.

Conclusions

In this study we identified an independent relationship between household food insecurity and both reported history of cholera and death from cholera in a general population. The directionality of this relationship is uncertain and should be further explored in future prospective research.

In this study, we identified an independent relationship between household food insecurity, defined as a persistent lack of access to food in adequate quantity or quality and measured using the Household Hunger Scale, and reported history of cholera and death from cholera in a general population. We performed a secondary analysis of household-level data from the 2012 Demographic and Health Survey (DHS) in Haiti, a nationally and sub-nationally representative cross-sectional household survey conducted every five years. The 2012 survey was conducted during the height of the cholera epidemic, with 453,536 suspected cases and 3,835 deaths in Haiti from 2011–2012. We used multivariable logistic regression to control for measured confounders. The underlying mechanisms and directionality of the association between food insecurity and reported history of cholera are uncertain and should be explored in future prospective research. A better understanding of the relationship between food insecurity and cholera could inform both future cholera outbreak prediction and response, particularly in settings where poor food access and cholera risk factors are known to co-exist.

Sustaining the community dispensation strategy of HIV antiretroviral through community participation

Background

The advent and widespread use of antiretroviral therapy (ART) has remarkably changed the paradigm of HIV infection, increasing substantially the lifespan and quality of life of people affected. Accordingly and responding to policy makers and international directives, many strategies were put in place in Cameroon to accelerate ART uptake, including the community dispensation of ART through community-based organizations (CBOs).

Main body

In its strategic plan to curb the burden of HIV/AIDS and as part of accelerating and reinforcing the provision of ART to all people living with HIV (PLWH), Cameroon opted for different strategies including the dispensation of ART in the community through well identified and tutored CBOs. Actually, financing of ART in Cameroon is mainly the conjugation of resources from the Government and its technical and financial partners, basically the Global Funds supplemented by supports from the Unitaid initiative which allows PLWH residing in Cameroon to benefit from continuous ART without spending a dime. However, this external funding will end-up by 2020. Therefore, there is urgent need to think of alternative and efficient strategies to sustain the fight against HIV/AIDS in Cameroon, especially the provision of ART to patients through community dispensation. Some studies carried out in sub-Saharan African countries have shown that mutual health insurance seems to be a solution with great potential to improve access to quality care, mobilize the necessary funds, improve efficiency of the health sector, and promote dialogue and democratic governance in the health sector along with social and institutional development of the society.

Conclusions

The pooling of associations of PLWH in Cameroon and other countries of sub-Saharan Africa in line with the Bamako Initiative constitutes a promising strategy that would undoubtedly help to offset the withdrawal of funding from external sources, and allow an appropriation of the fight against HIV/AIDS by those concerned at the first place. Nevertheless, other lines of research of financing could be explored in the economic sector.

Electronic supplementary material

The online version of this article (10.1186/s40249-019-0518-8) contains supplementary material, which is available to authorized users.

The rise and fall of mortality inequality in South Africa in the HIV era

Post-apartheid South Africa has seen an unprecedented rise and fall of mortality in less than two decades as a result of the HIV/AIDS epidemic and the subsequent rollout of free antiretroviral therapy (ART). Since the incidence of both was not equal for rich and poor, it is likely to also have affected disparities in health and survival chances by income. We use large nationwide surveys for 2001, 2007 and 2011 to obtain estimates of average income and mortality at the aggregate level of a municipality, and then to examine changes in mortality - and in inequality in mortality by income ─ over time. Using concentration indices to measure health inequality, we demonstrate that both the mean mortality level and absolute inequality in mortality by income rose rapidly until 2006, and declined again sharply since the rollout of free ART. Relative inequalities in mortality by income, however, remained fairly stable over the 2001-2011 period. The analysis of age-sex-specific mortality rates shows that it was in particular for adults aged 18-59 years that mortality and absolute inequality increased substantially between 2001 and 2006, followed by a rapid drop thereafter. These trends were far more pronounced for males than females. This means that the HIV/AIDS epidemic has taken a serious death toll, which was concentrated disproportionately among the poorest segments of the population and especially affected (older) males. While South Africa has been very successful in curbing the overall mortality trend since 2006, large disparities in survival prospects by income, race and gender continue to exist. Targeted efforts are required if it wants to further reduce the very unequal chances of living to old age for richer and poorer population groups of all ages.

HIV/AIDS mortality attributable to alcohol use in South Africa: a comparative risk assessment by socioeconomic status

OBJECTIVES

To quantify HIV/AIDS mortality attributable to alcohol use in the adult general population of South Africa in 2012 by socioeconomic status (SES).

DESIGN

Comparative risk assessment based on secondary individual data, aggregate data and risk relations reported in the literature.

SETTING

South African adult general population.

PARTICIPANTS

For metrics of alcohol use by SES, sex and age: 27 070 adults that participated in a nationally representative survey in 2012. For HRs of dying from HIV/AIDS by SES: 87 029 adults that participated in a cohort study (years 2000 to 2014) based out of the Umkhanyakude district, KwaZulu-Natal.

MAIN OUTCOME MEASURES

Alcohol-attributable fractions for HIV/AIDS mortality by SES, age and sex were calculated based on the risk of engaging in condom-unprotected sex under the influence of alcohol and interactions between SES and alcohol use. Age-standardised HIV/AIDS mortality rates attributable to alcohol by SES and sex were estimated using alcohol-attributable fractions and SES-specific and sex-specific death counts. Rate ratios were calculated comparing age-standardised rates in low versus high SES by sex.

RESULTS

The age-standardised HIV/AIDS mortality rate attributable to alcohol was 31.0 (95% uncertainty interval (UI) 21.6 to 41.3) and 229.6 (95% UI 108.8 to 351.6) deaths per 100 000 adults for men of high and low SES, respectively. For women the respective rates were 10.8 (95% UI 5.5 to 16.1) and 75.5 (95% UI 31.2 to 144.9). The rate ratio was 7.4 (95% UI 3.4 to 13.2) for men and 7.0 (95% UI 2.8 to 18.2) for women. Sensitivity analyses corroborated marked differences in alcohol-attributable HIV/AIDS mortality, with rate ratios between 2.7 (95% UI 0.8 to 7.6; women) and 15.1 (95% UI 6.8 to 27.7; men).

CONCLUSIONS

The present study showed that alcohol use contributed considerably to the socioeconomic differences in HIV/AIDS mortality. Targeting HIV infection under the influence of alcohol is a promising strategy for interventions to reduce the HIV/AIDS burden and related socioeconomic differences in South Africa.

Treatment adherence in patients living with HIV/AIDS assisted at a specialized facility in Brazil

INTRODUCTION

In the 1990s, Brazil adopted a public policy that allowed for universal, free access to antiretroviral therapy (ART). Since then, treatment adherence has become a new challenge for administrators of sexually transmitted disease/acquired immunodeficiency syndrome (STD/AIDS) policies. This study quantified adherence to ART and verified whether there is an association between sociodemographic variables and clinical/laboratory data in human immunodeficiency virus (HIV)-infected patients.

METHODS

This was a cross-sectional, exploratory study with a quantitative approach that was conducted over 8 months. The target population contained patients who were assisted at the ambulatory care facility specialized in STD/AIDS of a medium-size city located in Northwest São Paulo. In order to verify the level of adherence to ART, a validated CEAT-VIH (Assessment of Adherence to Antiretroviral Therapy Questionnaire) questionnaire was used. Sociodemographic aspects and clinical/laboratory data were obtained from the medical records. The results were analyzed using the Student's t-test and Pearson's coefficient.

RESULTS

Herein, 109 patients were interviewed, 56% of whom were male. The age of the population ranged 18-74 years (mean 45.67 years). Adherence to ART was classified as insufficient in 80.7% of cases. There was an association between ART adherence and presence of symptoms and/or opportunistic infection (p=0.008) and economic status (p<0.001).

CONCLUSIONS

Adherence to ART among HIV carriers cared for by the public health system is low. Patients who reported a favorable economic status and those without symptoms and/or opportunistic infection demonstrated greater treatment adherence than those who needed to take more than 3 pills a day.

Social Epidemiology in HIV/AIDS: What Else Should We Consider to Prevent the HIV/AIDS Progression?

More than 35 years after the description of the first cases of a new immunodeficiency syndrome that was named AIDS, health care providers hardly have a global perspective of those factors that coexist with this syndrome and also contribute to immunosupression and progression of disease. This report presents some of these factors (drug use, nutrition, psychological conditions, socioeconomic factors) to propose some areas of research and intervention strategies that could prevent the progression of HIV/AIDS.

Alcohol Use, Socioeconomic Status and Risk of HIV Infections

The present study investigated the associations among alcohol use, socioeconomic status (SES), and human immunodeficiency virus (HIV) status, in the South African context. It was hypothesized that SES (predictor; measured as median split asset score) and alcohol use in the past 12 months (predictor) would interact such that current drinkers of low SES would be at an increased risk of testing HIV-positive (outcome). Nationally representative, cross-sectional survey data from 2005 (N = 16,110), 2008 (N = 13,055), and 2012 (N = 25,979) were analyzed using multinomial regression models. Current drinkers of low SES had an elevated risk of HIV infection in all survey years, ranging from a relative risk ratio (RRR) of 1.94 (95% confidence interval (CI) 1.29-3.00, t = 2.93, p = 0.002) in 2012 to RRR of 3.51 (95% CI 2.02-6.08, t = 4.47, p < 0.001) in 2008. Targeting preventive strategies to alcohol users of low SES could help reduce HIV burden and associated socioeconomic differences.

Substance Use and Psychosocial Status among People Living with HIV/AIDS Who Encountered HIV Stigma in China: Stratified Analyses by Socio-Economic Status

This study examined whether the impact of HIV stigma on psychosocial status and substance use among people living with HIV/AIDS (PLWHA) differed by their socio-economic status (SES) in a Chinese setting. A total of 2,987 PLWHA were recruited from 12 sites with the highest number of cumulative HIV incidence in Guangxi, China. Participants were asked to provide information regarding their psychosocial status (e.g., depression, anxiety), history of substance use (e.g., tobacco, alcohol and drug) and SES (e.g., education, monthly income, residence type, and job category). By employing stratified multivariate regression analyses, we assessed stratum-specific impacts of HIV stigma on PLWHA’s psychosocial status and behaviors of substance use based upon participants’ SES. The impact of HIV stigma differed significantly on psychosocial status across SES gradients. Psychosocial status among people with higher education was more sensitive to HIV stigma compared with PLWHA who were less educated. The odds of substance use behaviors were higher among people with better monthly income than their low-income peers. Our study is the first paper to document the paucity of SES stratified analyses between HIV stigma and psychosocial status and substance use among PLWHA in China. We call for tailored intervention programs to target PLWHA with different backgrounds and characteristics in order to help them to better manage their seropositivity.