Prevention of Premature Mortality Among Patients with Schizophrenia: The Need for Primary Prevention Efforts in Cardiovascular Disease

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.


2020 ◽  
Vol 26 (Supplement 1) ◽  
pp. S19
Author(s):  
Niamh Chapman ◽  
Monique Breslin ◽  
Sarah Lay-Flurrie ◽  
Zhen Zhou ◽  
James Sharman ◽  
...  

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.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Cheng Xu ◽  
Zhiqi Wang ◽  
Xiaoqi Su ◽  
Min Da ◽  
Zhaocong Yang ◽  
...  

AbstractLeucocyte telomere length (LTL) has been reported to be linked to ageing, cancer and cardiovascular disease (CVD). This study aimed to explore the association between LTL and CVD risk in a nationally representative sample of U.S. adults. Complex associations, including nonlinearity and interaction, were also examined. A total of 7,378 subjects from the National Health and Nutrition Examination Survey (NHANES) 1999–2002 were collected. Telomere length was detected from DNA samples and expressed as the mean T/S ratio (telomere repeats per single-copy gene). We performed multiple logistic regression models and interactive analysis to explore the associations between LTL and CVD risk by adjusting for potential confounders. We also performed a sensitivity analysis to investigate the robustness of our results. Among all participants, LTL was associated with the risk of CVD (OR = 0.79, 95% CI: 0.63~0.98, P = 0.033) in a linear manner rather than in a nonlinear manner (P = 0.874). Interaction effects of LTL with both education (P = 0.017) and hypertension (P = 0.007) were observed. Furthermore, using subgroup analyses, protective effects of LTL on CVD risk were found in females and in individuals who were college graduates or above, had serum cotinine >10 ng/ml, did not have hypertension, or had normal white blood cell levels. LTL is linearly inversely associated with CVD risk in the general population of the United States.


2018 ◽  
Vol 90 (1) ◽  
pp. 18-24 ◽  
Author(s):  
Kryspin Mitura ◽  
Sławomir Kozieł ◽  
Klaudiusz Komor

More than half of physicians in Poland are over 50 years old. This raises concerns about the risk of lack of continuity of health care services due to the generational gap, particularly marked among interventional specialties. The physical and mental burden of general surgery affects those doctors in particular. The aim of the study is to assess whether the type of the profession pursued influences the average lifetime of a physician in Poland and the impact of the surgeon’s occupation on life expectancy compared to the rest of the population according to gender. Demographic data was obtained from official publications of the Central Statistical Office. Data on 189,459 physicians in Poland were obtained from the Central Register of Doctors. A total of 6,496 physicians and dentists deaths in the period from January 1st, 2010 to June 30th, 2014, including 722 surgeons, were analyzed. In general, both male physicians and dentists died at an older age than the mean population (74.9 years and 74.7 years vs. 68.9 years; p <0.05). Among women, only dentists lived longer (78.5 years) p <0.05), while women physicians died at a younger age than the average in the general population (76.4 vs. 77.2 years; p <0.05). The average lifetime of both male and female surgeons was 74.2 and 77.5 years, respectively. The average life expectancy of people aged 25 years with college/university education is 80.3 years for men and 86.6 years for women. Male surgeons live significantly longer than the average life expectancy in the general population of men. The average length of life of women surgeons is significantly lower than the average lifespan of women in the general population. The actual lifetime of surgeons in Poland is significantly lower than the expected average life expectancy for other people aged 25 with tertiary education. The average lifespan of surgeons in Poland does not differ significantly from the average life expectancy of other Polish physicians.


2020 ◽  
Vol 73 (5) ◽  
pp. 937-942
Author(s):  
Tetiana S. Gruzieva ◽  
Nataliia V. Hrechyshkina ◽  
Mykhаilo D. Diachuk ◽  
Vasyl A. Dufynets

The aim: identifying the characteristics and trends of inequalities in the health of the population to substantiate the educational content of the curriculum for the training of Master in Public Health. Materials and methods: Bibliographic, sociological, medical-statistical and information-analytical methods were used in the study. Ukraine’s healthcare institutions were the scientific base of the study. The data on the average life expectancy, morbidity, mortality, satisfaction of medical needs of different groups of the population for revealing the social gradient are analyzed. Documents on strategies to reduce health inequalities have been examined. Results: Health inequalities between WHO countries have been identified, including a difference in the average life expectancy at birth of 17.1 years in premature mortality due to differences in the levels of economic development of countries. The inequality in the prevalence of diseases and the difference in the satisfaction of specific medical needs among the first and tenth decile population of Ukraine were determined. The prevalence of diseases of the genitourinary system in the population older than 60 years with low rates by 27.3% was higher than the figure among financially insured persons. The incidence of ocular pathology among adults with different income levels varied 1.8 times. The provisions of the WHO strategic documents on reducing health inequalities and its protection and on developing the public health system are analyzed. We justify the necessity of expanding the coverage of the problems of reducing disparities in health and health care in the course of training of the Master in Public Health. A modern curriculum “Social Medicine, Public Health” has been developed with the inclusion of inequalities in public health and appropriate educational and methodological support. Conclusion: The strategic goal of reducing inequalities in public health and its care requires integrating these issues into a modern master’s in public health program. The curriculum developed covers various aspects of health inequalities and health care, including the identification and assessment of disparities, the clarification of causes, the identification of counter-measures. Created educational and methodological support allows acquiring theoretical knowledge and practical skills that form the necessary competencies of professionals in the context of overcoming inequalities in health.


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