Injustice and Inequalities in Health

Author(s):  
Gopal Sreenivasan

Serious inequalities in health abound the world over. For example, there are marked differences in average life expectancy both between and within countries. Individual life expectancy varies by more than 30 years between the highest national average and the lowest. Even worldwide, average life expectancy lags more than 10 years below the highest national average. Within single countries, inequalities in life expectancy between the top and bottom groups of men, for example, have been recorded at 7 years in England and Wales and at almost 15 years in the United States, albeit using rather differently constituted groups. Intuitively, these inequalities in health will strike many observers as unjust. But why are they unjust, if they are? Are inequalities in health unjust per se? If not, what makes some inequalities in health unjust, but not others? According to an influential analysis, inequalities in health are unjust when they are avoidable, unnecessary, and unfair. Thus, if an inequality in health is inevitable, it is not unjust. Following this analysis means that answering these questions requires a combination of empirical and normative understanding. On the empirical side, some understanding of the socially controllable causes of health is required. On the normative side, various dimensions of fairness have to be understood. In addition, some appreciation of the interaction between these two sides is needed.. Each side of the question is fairly complicated. With respect to the requirements of fairness, three subsidiary controversies can be distinguished. To begin with, should a general principle of equality be applied directly to the case of health? An alternative approach traces the injustice of avoidable inequalities in health to the independent injustice of their social causes instead. Next, should inequalities be defined across social groups (such as class or race within countries or, indeed, countries themselves)? If so, which groups? An alternative is to define inequalities across individuals. Finally, should equality be defined in comparative terms (as is traditional)? An alternative is to define the requirements of fairness non-comparatively (as a matter of “priority” to the worst off). Even if a given inequality in health is avoidable, some resolution of all three controversies is needed to decide whether that inequality is unfair.

CNS Spectrums ◽  
2008 ◽  
Vol 13 (S10) ◽  
pp. 9-10 ◽  
Author(s):  
Charles H. Hennekens

Patients with schizophrenia have a markedly reduced lifespan compared with the general population. In the United States today, patients with schizophrenia have an average life expectancy of ∼61 years, about 20% lower than that of the general population, in which life expectancy is ∼76 years.


2015 ◽  
Vol 43 (S1) ◽  
pp. 95-98 ◽  
Author(s):  
Micah L. Berman ◽  
Annice E. Kim

In the 20th century, public health was responsible for most of the 30-year increase in average life expectancy in the United States.1 Most of the significant advances in public health (e.g., vaccinations, water fluoridation) required the combined effort of scientists and attorneys. Scientists identified public health threats and the means of controlling them, but attorneys and policymakers helped convert those scientific discoveries into laws that could change the behavior of industries or individuals at a population level. In tobacco control, public health scientists made the groundbreaking discovery that smoking caused lung cancer, but attorneys and policymakers developed and implemented the policies and litigation strategies that helped reduce smoking rates by more than half over the past 50 years.


2016 ◽  
Vol 37 (9) ◽  
pp. 1898-1923 ◽  
Author(s):  
CATHERINE E. BOWEN ◽  
VEGARD SKIRBEKK

ABSTRACTHow long do people want to live? Why do some people want to live a very long time, and others would rather die relatively young? In the current study we examine the extent to which the preference to die young (<80 years, less than average life expectancy) or to live somewhat longer or much longer than average life expectancy (90-99 years or 100+ years, respectively) is related to a person's positive and negative expectations of what their life will be like in old age. We use multinomial regression analysis based on survey data from a large sample of younger and middle-aged adults in the United States of America (USA) (N = 1,631, age 18-64 years). We statistically control for socio-demographic characteristics as well as self-reported happiness and health. We find that having fewer positive expectations for their own old age distinguishes people who prefer to die relatively young, while having fewer negative expectations distinguishes people who want to live beyond current levels of life expectancy. The results provide evidence that pessimistic expectations of life in old age can undermine the desire to live up to and beyond current average life expectancy. The study also provides descriptive data about how young and middle-aged adults in the USA anticipate their own ageing.


Author(s):  
Elena Vladimirovna Frolova

Mexico is the largest Spanish-speaking state in North America that borders the United States on one side, and Guatemala and Belize on the other. The country is home to more than 120 million people, in terms of population Mexico ranks 10th. Many Mexicans prefer to live in large cities (for example, every 5th inhabitant of the country lives in the capital of Mexico City, and Mexico City itself is the second largest city in the world), but there are many villages and fishing villages scattered along the coast. The level of medical care in large metropolitan areas and small settlements varies greatly. Mexico was ranked 21st in the 2018 Bloomberg World Health System Performance Index. This ranking, which allows assessing healthcare systems, was based on three key indicators: average life expectancy at birth, government spending on health as a percentage of GDP per capita, and the cost of health services per capita. However, in terms of life expectancy, Mexico ranks only 80th in the world (the average life expectancy in this country was 75 years in 2018).


2013 ◽  
Vol 6 (1) ◽  
pp. 153-166 ◽  
Author(s):  
Duncan Palmer ◽  
Niel Krige

This study summarises the development of a model to determine an individual’s adjusted life expectancy based on his Real Age. The model incorporates aspects such as gender, residing province, income, HIV status, ethnic background, weight, exercise, family illness history, stress, substance abuse and diet. Predicting life expectancy is vital in retirement planning for two reasons: 1) given the diverse nature of South Africa, the national average life expectancy cannot be applied to everyone; and 2) retirement duration forms a vital part in the retirement planning process. Retirees can make more informed financial investment decisions based on their Real Age, thus increasing the probability of having sufficient funds during retirement. Three representative examples of South African Real Age-adjusted life expectancies were simulated, predicting life expectancies of 67, 72 and 87 years, notably different from the 50 year average South African life expectancy.


Author(s):  
KHROMUSHIN V.A. ◽  
◽  
VOLKOV A.V. ◽  
KHADARTSEV A.A. ◽  
◽  
...  

The article presents the relevance of the problem, defines the research purpose: to compare the average life expectancy of the population in the areas of the Tula region with different contents of heavy metals in the class of causes of death “Respiratory diseases ”. The authors used the data of the regional mortality register, the results of analyzes of the content of heavy metals (copper, lead, zinc, nickel) in the soil by atomic absorption spectroscopy, and the calculation of the average life expectancy by the algebraic model of constructive logic. The results indicate a decrease in average life expectancy due to the presence of heavy metals in the soil, but the average life expectancy in both contaminated and non-contaminated areas is gradually increasing.


Author(s):  
YA.YU. GOLIVANOV ◽  
◽  
V.V. ZELENENKO ◽  
V.V. GRITSENKO

The article presents data on the assessment of some issues of the ontogenesis of the bird cherryoat aphid: the average life expectancy, the number of offspring over a lifetime, the beginning of the reproductive period, the end of the reproductive period, the duration of the reproductive period, the life span of aphids and the number of offspring. The author found that the average life expectancy of animals was 21.55 days. The beginning of the reproductive period, on average, was on days 7–8, the end – on day 19. The average duration of the reproductive period was 12.5 days. The average number of offspring over the entire life for individuals in the sample was 34 nymphs, in a separate litter – 2–3 nymphs.


2021 ◽  
Vol 93 (1) ◽  
pp. 82-83
Author(s):  
João Vasco Barreira ◽  
Gil Falcão ◽  
Mariana Amaral ◽  
Pedro Barreira

Dear Editor, in recent years there has been an increase in the number of new cases of cancer. This increase, in part, is closely related to the increase in average life expectancy, as well as more accurate diagnostic techniques and well-defined screening programs. [...]


2020 ◽  
Author(s):  
Joses M. Kirigia ◽  
Rosenabi Deborah Karimi Muthuri

Abstract Objective: According to the WHO coronavirus disease (COVID-19) situation report 35, as of 24 th February 2020, there was a total of 77,262 confirmed COVID-19 cases in China. That included 2,595 deaths. The specific objective of this study was to estimate the fiscal value of human lives lost due to COVID-19 in China as of 24 th February 2020. Results: The deaths from COVID-19 had a discounted (at 3%) total fiscal value of Int$ 924,346,795 in China. Out of which, 63.2% was borne by people aged 25-49 years, 27.8% by people aged 50-64 years, and 9.0% by people aged 65 years and above. The average fiscal value per death was Int$ 356,203. Re-estimation of the economic model alternately with 5% and 10 discount rates led to a reduction in the expected total fiscal value by 21.3% and 50.4%, respectively. Furthermore, the re-estimation of the economic model using the world’s highest average life expectancy of 87.1 years (which is that of Japanese females), instead of the national life expectancy of 76.4 years, increased the total fiscal value by Int$ 229,456,430 (24.8%).


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