Showing posts with label Life Expectancy. Show all posts
Showing posts with label Life Expectancy. Show all posts

Monday, April 18, 2016

Inequalities in US Life Expectancy by Area Unemployment Level, 1990-2010

This study examined the association between unemployment and life expectancy in the United States during 1990-2010. 

Census-based unemployment rates were linked to US county-level mortality data. Life expectancies were calculated by age, sex, race, and unemployment level during 1990-2010. Differences in life expectancy were decomposed by age and cause of death. 

Life expectancy was consistently lower in areas with higher unemployment rates. In 2006-2010, those in areas with high unemployment rates (≥9%) had a life expectancy of 76.9 years, compared with 80.7 years for those in areas with low unemployment rates (<3%). The association between unemployment and life expectancy was stronger for men than for women. 

Life expectancy ranged from 69.9 years among black men in high unemployment areas to 90.0 years among Asian/Pacific Islander women in low unemployment areas. Disparities persisted over time. In 1990-1992, life expectancy was 4.7 years shorter in high unemployment than in low unemployment areas. In 2006-2010, the life expectancy difference between the lowest and highest unemployment areas decreased to 3.8 years. Heart disease, cancer, homicide, unintentional injuries, diabetes, HIV/AIDS, and liver cirrhosis contributed most to the lower life expectancy in high unemployment areas. High unemployment areas recorded larger gains in life expectancy than low unemployment areas, contributing to the narrowing gap during 1990-2010.

Below:  Life expectancy at birth by sex and area unemployment level, United States, 1990–2010



Below:  Survivorship by age, race, and unemployment level, United States, 1990–2010



Below:  Conditional probability of survival between ages of 25 and 64 years by unemployment level, United States, 1990–2010



Full article at:   http://goo.gl/FI27Gt

By:  Singh GK1Siahpush M2.
  • 1US Department of Health and Human Services, 5600 Fishers Lane, Rockville, MD 20857, USA.
  • 2Department of Health Promotion, Social and Behavioral Health, University of Nebraska Medical Center, College of Public Health, Omaha, NE 68198-4365, USA.
  •  2016;2016:8290435. doi: 10.1155/2016/8290435. Epub 2016 Mar 17. 



Monday, January 18, 2016

Homicides in Mexico Reversed Life Expectancy Gains for Men & Slowed Them for Women, 2000-10

Life expectancy in Mexico increased for more than six decades but then stagnated in the period 2000-10. This decade was characterized by the enactment of a major health care reform-the implementation of the Seguro Popular de Salud (Popular Health Insurance), which was intended to provide coverage to the entire Mexican population-and by an unexpected increase in homicide mortality. 

We assessed the impact on life expectancy of conditions amenable to medical service-those sensitive to public health policies and changes in behaviors, homicide, and diabetes-by analyzing mortality trends at the state level. We found that life expectancy among males deteriorated from 2005 to 2010, compared to increases from 2000 to 2005. Females in most states experienced small gains in life expectancy between 2000 and 2010. 

The unprecedented rise in homicides after 2005 led to a reversal in life expectancy increases among males and a slowdown among females in most states in the first decade of the twenty-first century.

Purchase full article at:   http://goo.gl/ZRWJ53

  • 1José Manuel Aburto is a Max Planck Institute for Demographic Research fellow at the European Doctoral School of Demography, Sapienza University (http://www.uniroma1.it/), in Rome, Italy.
  • 2Hiram Beltrán-Sánchez (beltrans@ucla.edu) is an assistant professor in the Department of Community Health Sciences and at the California Center for Population Research, both at the University of California, Los Angeles.
  • 3Victor Manuel García-Guerrero is a professor at the Center of Demographic, Urban, and Environmental Studies, El Colegio de México, in Mexico City.
  • 4Vladimir Canudas-Romo is an associate professor at the Max-Planck Odense Center on Biodemography of Aging, University of Southern Denmark, in Odense.
  •  2016 Jan 1;35(1):88-95. doi: 10.1377/hlthaff.2015.0068. 




Tuesday, November 24, 2015

The Missing Men: HIV Treatment Scale-Up and Life Expectancy in Sub-Saharan Africa

Delivery of effective HIV antiretroviral therapy (ART) to the more than 6 million persons with HIV in South Africa is well underway, with early data on the impact of this massive public health effort demonstrating a reversal of the previous decade’s precipitous decline in population life expectancy [1]. Although South Africa’s age and sex disparities in HIV acquisition have traditionally been described as disadvantaging young women [2], accumulating evidence now suggests a reverse disparity: although HIV care is available to both men and women and is nominally free of charge, women are more likely to be tested for HIV, engage in pre-treatment care, initiate treatment earlier, stay on treatment, and survive [36]. To adopt the classic Eisenberg and Power [7] analogy of health care as current flowing through an electric circuit, the voltage drops along the entire circuit of HIV care, from HIV infection to AIDS-free survival, are larger for men compared with women (Fig 1). There are simply too many missing men.

Below:  The cascade of “voltage drops” from HIV infection to AIDS-free survival.
In order for the goal of AIDS-free survival to be achieved, (1) HIV testing, care, and treatment services must be available, and persons with HIV must (2) be enrolled in care, (3) initiate antiretroviral therapy, (4) achieve suppression of HIV-1 RNA viral load, and (5) be retained in care.


Below:  Gender gaps in life expectancy among men and women with HIV initiating antiretroviral therapy at 20 years of age.
This figure summarizes the findings of studies from Rwanda [9], South Africa [8], and Uganda [10]. Estimates and associated 95% confidence intervals are shown as the number of additional years of life expected for men and women with HIV initiating antiretroviral therapy at 20 years of age.


Full article at:  http://goo.gl/BC93rj

By:   Alexander C. Tsai
Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, United States of America

Alexander C. Tsai
Mbarara University of Science and Technology, Mbarara, Uganda

Alexander C. Tsai, Mark J. Siedner
Harvard Medical School, Boston, Massachusetts, United States of America

Mark J. Siedner
Division of Infectious Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America
 


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

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.

Below: Adult life expectancy and HIV-cause-deleted adult life expectancy, 2001–2011, by sex.
Solid symbols are annual estimates of adult life expectancy; open symbols are annual estimates of HIV-cause-deleted adult life expectancy. 95% CIs are shown. The black dashed line indicates the beginning of ART scale-up in 2004.


Below:  Female–male difference in adult life expectancy, 2001–2011.
Solid blue circles display annual estimates of the gap between female and male adult life expectancy. The red dashed line indicates the gap in HIV-cause-deleted life expectancy observed in 2011. The black dashed line indicates the beginning of ART scale-up in 2004.


Below:  Sex-specific survival curves: 2003, 2011, and HIV-cause-deleted.
Sex-specific continuous-time Kaplan-Meier survival curves for 2003 and 2011 are shown. The HIV-cause-deleted survival curves pool person-time for 2001–2011. These are period (synthetic cohort) survival curves reflecting age-specific mortality rates in a population in a given period of time; life expectancy is calculated as the area under the curve. A risk table showing persons at risk and deaths at each age for each of the six survival curves is available as S1 Table.



Below:  Female-to-male HIV mortality rate ratios by age and calendar year, 2001–2011.
Age-specific HIV mortality rate ratios for women versus men were estimated in an exponential hazard regression model that included calendar year indicators for each age group and interactions for each age and year with sex. The 45–64 y and 65+ y age groups were combined to improve precision at older ages. The pooled estimate is from a separate regression model. Mortality rate ratios declined after 2004 in all age groups.



Below:  Distribution of HIV deaths across cascade of care, 2001–2011.
We excluded all deaths that occurred within 3 mo of migrating into the DSA, as the deceased may not have had the opportunity to seek HIV care in the local health system.



Full article at:  http://goo.gl/Z0gj1G

By:   
Jacob Bor, Sydney Rosen
Department of Global Health, Boston University School of Public Health, Boston, Massachusetts, United States of America

Jacob Bor, Natsayi Chimbindi, Noah Haber, Kobus Herbst, Tinofa Mutevedzi, Frank Tanser, Deenan Pillay, Till Bärnighausen
Africa Centre for Population Health, Mtubatuba, South Africa

Jacob Bor, Sydney Rosen
Health Economics and Epidemiology Research Office, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of Witwatersrand, Johannesburg, South Africa

Noah Haber, Till Bärnighausen
Department of Global Health and Population, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, United States of America

Deenan Pillay
Faculty of Medical Sciences, University College London, London, United Kingdom
 


Thursday, July 30, 2015

Life Expectancy of HIV-Positive Individuals on Combination Antiretroviral Therapy in Canada

Below:  Life expectancy estimates at age 20 years, showing unadjusted and adjusted values, by clinical and sociodemographic characteristics at baseline



9997 individuals contributed 49,589 person-years and 830 deaths for a crude mortality rate of 16.7 [standard error (SE) 0.6] per 1000 person-years. When assigning death to 30 % of participants lost to follow-up, we estimated 1170 deaths and a mortality rate of 23.6 [SE 0.7] per 1000 person-years. The crude overall life expectancy at age 20 was 45.2 [SE 0.7] and 37.5 [SE 0.6] years after adjusting for LTFU. In the LTFU-adjusted analysis, lower life expectancy at age 20 was observed for women compared to men (32.4 [SE 1.1] vs. 39.2 [SE 0.7] years), for participants with injection drug use (IDU) history compared to those without IDU history (23.9 [SE 1.0] vs. 52.3 [SE 0.8] years), for participants reporting Aboriginal ancestry compared to those with no Aboriginal ancestry (17.7 [SE 1.5] vs. 51.2 [SE 1.0] years), and for participants with CD4 count <350 cells/μL compared to CD4 count ≥350 cells/μL at treatment initiation (36.3 [SE 0.7] vs. 43.5 [SE 1.3] years). Life expectancy at age 20 in the calendar period 2000–2003 was lower than in periods 2004–2007 and 2008–2012 in the LTFU-adjusted analyses (30.8 [SE 0.9] vs. 38.6 [SE 1.0] and 54.2 [SE 1.4]).

Life expectancy and mortality for HIV-positive individuals receiving ART differ by calendar period and patient characteristics at treatment initiation. Failure to consider LTFU may result in underestimation of mortality rates and overestimation of life expectancy.

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