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      Mass HIV Treatment and Sex Disparities in Life Expectancy: Demographic Surveillance in Rural South Africa

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          Abstract

          Background

          Women have better patient outcomes in HIV care and treatment than men in sub-Saharan Africa. We assessed—at the population level—whether and to what extent mass HIV treatment is associated with changes in sex disparities in adult life expectancy, a summary metric of survival capturing mortality across the full cascade of HIV care. We also determined sex-specific trends in HIV mortality and the distribution of HIV-related deaths in men and women prior to and at each stage of the clinical cascade.

          Methods and Findings

          Data were collected on all deaths occurring from 2001 to 2011 in a large population-based surveillance cohort (52,964 women and 45,688 men, ages 15 y and older) in rural KwaZulu-Natal, South Africa. Cause of death was ascertained by verbal autopsy (93% response rate). Demographic data were linked at the individual level to clinical records from the public sector HIV treatment and care program that serves the region. Annual rates of HIV-related mortality were assessed for men and women separately, and female-to-male rate ratios were estimated in exponential hazard models. Sex-specific trends in adult life expectancy and HIV-cause-deleted adult life expectancy were calculated. The proportions of HIV deaths that accrued to men and women at different stages in the HIV cascade of care were estimated annually.

          Following the beginning of HIV treatment scale-up in 2004, HIV mortality declined among both men and women. Female adult life expectancy increased from 51.3 y (95% CI 49.7, 52.8) in 2003 to 64.5 y (95% CI 62.7, 66.4) in 2011, a gain of 13.2 y. Male adult life expectancy increased from 46.9 y (95% CI 45.6, 48.2) in 2003 to 55.9 y (95% CI 54.3, 57.5) in 2011, a gain of 9.0 y. The gap between female and male adult life expectancy doubled, from 4.4 y in 2003 to 8.6 y in 2011, a difference of 4.3 y (95% CI 0.9, 7.6). For women, HIV mortality declined from 1.60 deaths per 100 person-years (95% CI 1.46, 1.75) in 2003 to 0.56 per 100 person-years (95% CI 0.48, 0.65) in 2011. For men, HIV-related mortality declined from 1.71 per 100 person-years (95% CI 1.55, 1.88) to 0.76 per 100 person-years (95% CI 0.67, 0.87) in the same period. The female-to-male rate ratio for HIV mortality declined from 0.93 (95% CI 0.82–1.07) in 2003 to 0.73 (95% CI 0.60–0.89) in 2011, a statistically significant decline ( p = 0.046). In 2011, 57% and 41% of HIV-related deaths occurred among men and women, respectively, who had never sought care for HIV in spite of the widespread availability of free HIV treatment. The results presented here come from a poor rural setting in southern Africa with high HIV prevalence and high HIV treatment coverage; broader generalizability is unknown. Additionally, factors other than HIV treatment scale-up may have influenced population mortality trends.

          Conclusions

          Mass HIV treatment has been accompanied by faster declines in HIV mortality among women than men and a growing female–male disparity in adult life expectancy at the population level. In 2011, over half of male HIV deaths occurred in men who had never sought clinical HIV care. Interventions to increase HIV testing and linkage to care among men are urgently needed.

          Abstract

          Jacob Bor and colleagues use demographic data from a longitudinal surveillance cohort to identify increased gains in life expectancy among women compared to men in the years following antiretroviral therapy scale-up in rural South Africa.

          Editors' Summary

          Background.

          AIDS has killed 39 million people over the past three decades, and about 35 million people (including 25 million living in sub-Saharan Africa) are currently infected with HIV, the retrovirus that causes AIDS. HIV destroys immune system cells, leaving HIV-positive individuals susceptible to other serious infections. Early in the AIDS epidemic, most HIV-positive individuals died within ten years of infection. Then, in 1996, effective antiretroviral therapy (ART) became available. For people living in high-income countries, HIV infection became a chronic condition, but HIV/AIDS remained largely untreated and fatal in resource-limited countries. In 2003, the international community began to work towards achieving universal access to ART. Now, at least a third of people living with HIV have access to ART, the global rate of AIDS-related deaths has fallen by more than a third from its 2005 peak, and the life expectancy (how long a person is likely to live based on their year of their birth, their current age, and other demographic factors) of HIV-positive adults has markedly increased.

          Why Was This Study Done?

          Although ART has been provided without charge to patients in South African public clinics since 2004, HIV/AIDS remains the leading cause of death in many parts of South Africa. Reducing the lingering burden of HIV mortality is a policy priority. Prior studies have found worse outcomes among men in HIV care and treatment. Here, the researchers assess the evolution of sex disparities in life expectancy and HIV mortality rates at the population level with the scale-up of ART in a rural region of KwaZulu-Natal, South Africa, where 29% of the population is HIV-positive. Different trends in life expectancy for men and women following ART scale-up may reflect differences in the underlying burden of HIV disease—women tend to be infected and die at younger ages—as well as differences in access to HIV testing, care, and treatment. The researchers also assess where in the cascade of HIV care and treatment HIV mortality occurs for men and women. Knowing more about sex-specific trends in population life expectancy and where the lingering burden of HIV mortality occurs could help experts design strategies to further reduce HIV mortality in regions where free ART is widely available.

          What Did the Researchers Do and Find?

          The researchers linked demographic data obtained through regular household surveys, including all deaths occurring between 2001 and 2011, for nearly 100,000 adults living in rural KwaZulu-Natal to clinical records held by the public sector HIV treatment and care program. In addition, trained nurses visited households where there had been a death and collected data that were used to determine the probable cause of death (verbal autopsy). Analysis of these data indicated that, between 2003 and 2011, female adult life expectancy increased by 13.2 years (from 51.3 years to 64.5 years), whereas male life expectancy increased by only 9 years (from 46.9 years to 55.9 years). Thus, the gap between female and male adult life expectancy doubled between 2003 and 2011. Moreover, although HIV-related mortality among women and men was similar in 2003, in 2011 women were 27% less likely to die from HIV than men. With the scale-up of ART, male sex has emerged as a risk factor for HIV mortality at the population level. Finally, in 2011, 55% of all male HIV-related deaths and 40% of all female HIV-related deaths occurred among men and women who had never sought care for HIV/AIDS.

          What Do These Findings Mean?

          These findings suggest that although the mass provision of free ART in South Africa has coincided with a reduction in HIV-related mortality among both men and women, ART scale-up has been accompanied by faster declines in HIV-related deaths among women than men and by a growing female–male disparity in adult life expectancy. Notably, these findings also indicate that despite the wide availability of ART, about half of all HIV-related deaths in the study population occurred among people who had never sought care for HIV. The use of verbal autopsy to determine the probable cause of death may limit the accuracy of these findings, and factors other than the scale-up of ART may have influenced the population mortality trends. Moreover, these findings may not be generalizable to other populations. However, these results highlight the need for further research to understand why men are not as likely as women to seek and adhere to HIV care and treatment, and to design effective interventions to increase the uptake of HIV services among men. Without better outreach to men, the researchers conclude, the full benefits of mass ART provision will not be realized.

          Additional Information.

          This list of resources contains links that can be accessed when viewing the PDF on a device or via the online version of the article at http://dx.doi.org/10.1371/journal.pmed.1001905.

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          Most cited references48

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          Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010.

          Reliable and timely information on the leading causes of death in populations, and how these are changing, is a crucial input into health policy debates. In the Global Burden of Diseases, Injuries, and Risk Factors Study 2010 (GBD 2010), we aimed to estimate annual deaths for the world and 21 regions between 1980 and 2010 for 235 causes, with uncertainty intervals (UIs), separately by age and sex. We attempted to identify all available data on causes of death for 187 countries from 1980 to 2010 from vital registration, verbal autopsy, mortality surveillance, censuses, surveys, hospitals, police records, and mortuaries. We assessed data quality for completeness, diagnostic accuracy, missing data, stochastic variations, and probable causes of death. We applied six different modelling strategies to estimate cause-specific mortality trends depending on the strength of the data. For 133 causes and three special aggregates we used the Cause of Death Ensemble model (CODEm) approach, which uses four families of statistical models testing a large set of different models using different permutations of covariates. Model ensembles were developed from these component models. We assessed model performance with rigorous out-of-sample testing of prediction error and the validity of 95% UIs. For 13 causes with low observed numbers of deaths, we developed negative binomial models with plausible covariates. For 27 causes for which death is rare, we modelled the higher level cause in the cause hierarchy of the GBD 2010 and then allocated deaths across component causes proportionately, estimated from all available data in the database. For selected causes (African trypanosomiasis, congenital syphilis, whooping cough, measles, typhoid and parathyroid, leishmaniasis, acute hepatitis E, and HIV/AIDS), we used natural history models based on information on incidence, prevalence, and case-fatality. We separately estimated cause fractions by aetiology for diarrhoea, lower respiratory infections, and meningitis, as well as disaggregations by subcause for chronic kidney disease, maternal disorders, cirrhosis, and liver cancer. For deaths due to collective violence and natural disasters, we used mortality shock regressions. For every cause, we estimated 95% UIs that captured both parameter estimation uncertainty and uncertainty due to model specification where CODEm was used. We constrained cause-specific fractions within every age-sex group to sum to total mortality based on draws from the uncertainty distributions. In 2010, there were 52·8 million deaths globally. At the most aggregate level, communicable, maternal, neonatal, and nutritional causes were 24·9% of deaths worldwide in 2010, down from 15·9 million (34·1%) of 46·5 million in 1990. This decrease was largely due to decreases in mortality from diarrhoeal disease (from 2·5 to 1·4 million), lower respiratory infections (from 3·4 to 2·8 million), neonatal disorders (from 3·1 to 2·2 million), measles (from 0·63 to 0·13 million), and tetanus (from 0·27 to 0·06 million). Deaths from HIV/AIDS increased from 0·30 million in 1990 to 1·5 million in 2010, reaching a peak of 1·7 million in 2006. Malaria mortality also rose by an estimated 19·9% since 1990 to 1·17 million deaths in 2010. Tuberculosis killed 1·2 million people in 2010. Deaths from non-communicable diseases rose by just under 8 million between 1990 and 2010, accounting for two of every three deaths (34·5 million) worldwide by 2010. 8 million people died from cancer in 2010, 38% more than two decades ago; of these, 1·5 million (19%) were from trachea, bronchus, and lung cancer. Ischaemic heart disease and stroke collectively killed 12·9 million people in 2010, or one in four deaths worldwide, compared with one in five in 1990; 1·3 million deaths were due to diabetes, twice as many as in 1990. The fraction of global deaths due to injuries (5·1 million deaths) was marginally higher in 2010 (9·6%) compared with two decades earlier (8·8%). This was driven by a 46% rise in deaths worldwide due to road traffic accidents (1·3 million in 2010) and a rise in deaths from falls. Ischaemic heart disease, stroke, chronic obstructive pulmonary disease (COPD), lower respiratory infections, lung cancer, and HIV/AIDS were the leading causes of death in 2010. Ischaemic heart disease, lower respiratory infections, stroke, diarrhoeal disease, malaria, and HIV/AIDS were the leading causes of years of life lost due to premature mortality (YLLs) in 2010, similar to what was estimated for 1990, except for HIV/AIDS and preterm birth complications. YLLs from lower respiratory infections and diarrhoea decreased by 45-54% since 1990; ischaemic heart disease and stroke YLLs increased by 17-28%. Regional variations in leading causes of death were substantial. Communicable, maternal, neonatal, and nutritional causes still accounted for 76% of premature mortality in sub-Saharan Africa in 2010. Age standardised death rates from some key disorders rose (HIV/AIDS, Alzheimer's disease, diabetes mellitus, and chronic kidney disease in particular), but for most diseases, death rates fell in the past two decades; including major vascular diseases, COPD, most forms of cancer, liver cirrhosis, and maternal disorders. For other conditions, notably malaria, prostate cancer, and injuries, little change was noted. Population growth, increased average age of the world's population, and largely decreasing age-specific, sex-specific, and cause-specific death rates combine to drive a broad shift from communicable, maternal, neonatal, and nutritional causes towards non-communicable diseases. Nevertheless, communicable, maternal, neonatal, and nutritional causes remain the dominant causes of YLLs in sub-Saharan Africa. Overlaid on this general pattern of the epidemiological transition, marked regional variation exists in many causes, such as interpersonal violence, suicide, liver cancer, diabetes, cirrhosis, Chagas disease, African trypanosomiasis, melanoma, and others. Regional heterogeneity highlights the importance of sound epidemiological assessments of the causes of death on a regular basis. Bill & Melinda Gates Foundation. Copyright © 2012 Elsevier Ltd. All rights reserved.
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            Prevention of HIV-1 infection with early antiretroviral therapy.

            Antiretroviral therapy that reduces viral replication could limit the transmission of human immunodeficiency virus type 1 (HIV-1) in serodiscordant couples. In nine countries, we enrolled 1763 couples in which one partner was HIV-1-positive and the other was HIV-1-negative; 54% of the subjects were from Africa, and 50% of infected partners were men. HIV-1-infected subjects with CD4 counts between 350 and 550 cells per cubic millimeter were randomly assigned in a 1:1 ratio to receive antiretroviral therapy either immediately (early therapy) or after a decline in the CD4 count or the onset of HIV-1-related symptoms (delayed therapy). The primary prevention end point was linked HIV-1 transmission in HIV-1-negative partners. The primary clinical end point was the earliest occurrence of pulmonary tuberculosis, severe bacterial infection, a World Health Organization stage 4 event, or death. As of February 21, 2011, a total of 39 HIV-1 transmissions were observed (incidence rate, 1.2 per 100 person-years; 95% confidence interval [CI], 0.9 to 1.7); of these, 28 were virologically linked to the infected partner (incidence rate, 0.9 per 100 person-years, 95% CI, 0.6 to 1.3). Of the 28 linked transmissions, only 1 occurred in the early-therapy group (hazard ratio, 0.04; 95% CI, 0.01 to 0.27; P<0.001). Subjects receiving early therapy had fewer treatment end points (hazard ratio, 0.59; 95% CI, 0.40 to 0.88; P=0.01). The early initiation of antiretroviral therapy reduced rates of sexual transmission of HIV-1 and clinical events, indicating both personal and public health benefits from such therapy. (Funded by the National Institute of Allergy and Infectious Diseases and others; HPTN 052 ClinicalTrials.gov number, NCT00074581.).
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              • Article: not found

              Men and health help-seeking behaviour: literature review.

              This paper reviews the key research literature regarding men's health-related help seeking behaviour. There is a growing body of research in the United States to suggest that men are less likely than women to seek help from health professionals for problems as diverse as depression, substance abuse, physical disabilities and stressful life events. Previous research has revealed that the principle health related issue facing men in the UK is their reluctance to seek access to health services. The investigation of men's health-related help seeking behaviour has great potential for improving both men and women's lives and reducing national health costs through the development of responsive and effective interventions. A search of the literature was conducted using CINAHL, MEDLINE, EMBASE, PsychINFO and the Cochrane Library databases. Studies comparing men and women are inadequate in explaining the processes involved in men's help seeking behaviour. However, the growing body of gender-specific studies highlights a trend of delayed help seeking when they become ill. A prominent theme among white middle class men implicates "traditional masculine behaviour" as an explanation for delays in seeking help among men who experience illness. The reasons and processes behind this issue, however, have received limited attention. Principally, the role of masculine beliefs and the similarities and differences between men of differing background requires further attention, particularly given the health inequalities that exist between men of differing socio-economic status and ethnicity. Further research using heterogeneous samples is required in order to gain a greater understanding of the triggers and barriers associated with the decision making process of help seeking behaviour in men who experience illness.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS Med
                PLoS Med
                plos
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, CA USA )
                1549-1277
                1549-1676
                24 November 2015
                November 2015
                : 12
                : 11
                : e1001905
                Affiliations
                [1 ]Department of Global Health, Boston University School of Public Health, Boston, Massachusetts, United States of America
                [2 ]Africa Centre for Population Health, Mtubatuba, South Africa
                [3 ]Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa
                [4 ]Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America
                [5 ]Faculty of Medical Sciences, University College London, London, United Kingdom
                Massachusetts General Hospital, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Conceived and designed the experiments: JB TB. Performed the experiments: JB. Analyzed the data: JB. Wrote the first draft of the manuscript: JB. Contributed to the writing of the manuscript: JB SR NC NH KH TM FT DP TB. Agree with the manuscript’s results and conclusions: JB SR NC NH KH TM FT DP TB. Designed data collection tools: KH TM FT DP TB. Enrolled study participants: KH TM FT DP TB. All authors have read, and confirm that they meet, ICMJE criteria for authorship.

                Article
                PMEDICINE-D-15-01122
                10.1371/journal.pmed.1001905
                4658174
                26599699
                a3ee03e7-e49a-4e5a-b5aa-386b33e02761
                Copyright @ 2015

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

                History
                : 13 April 2015
                : 15 October 2015
                Page count
                Figures: 5, Tables: 3, Pages: 21
                Funding
                This work was partially supported by: National Institutes of Health ( www.nih.gov) award 1K01MH105320-01A1 (J.B.); US Agency for International Development ( www.usaid.gov) cooperative agreement AID 674-a-12-00029 (J.B., S.R.); and National Institutes of Health (NIH) award 1R01MH083539 (T.B.). The Africa Centre for Population Health, University of KwaZulu-Natal, South Africa receives core funding from the Wellcome Trust ( www.wellcome.ac.uk) grant 082384/Z/07/Z. The Hlabisa HIV Treatment and Care Programme was funded by the generous support of the American people through the United States Agency for International Development (USAID) and the President’s Emergency Plan (PEPFAR) under the terms of Award No. 674-A-00-08-0001-00. The contents are the responsibility of the authors and do not necessarily reflect the views of any of the funders or the US government. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Custom metadata
                Data are available from the Africa Centre for Population Health ( www.africacentre.ac.za). The following datasets were used for the analysis: Individuals, IndividualResidencies, ACDIS_Deaths, and ARTemis.

                Medicine
                Medicine

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