scholarly journals Providing new impetus to corporate well-being programmes: improving life expectancy through risk assessment

2021 ◽  
Vol 4 (1) ◽  
pp. 17-50
Author(s):  
Gábor Vona

Diseases of the circulatory system are leading causes of death, which compel stakeholders to lessen cardiovascular risks by utilising more effective prevention. These risks can be estimated based on gender, age, smoker status, systolic blood pressure, and total cholesterol. Artificial neural networks enable modelling of 10-year cardiovascular mortality rates. Understandable communica-tion of potential gains in life expectancy may enhance health consciousness through mitigating behavioural risks. The reproduction of death statistics requires the adjustment of the recommended probabilities for the occurrence of fatal cardiovascular events. This study deals with countries at high and low cardiovascular risk, selecting Hungary and the Czech Republic (high risk) and Austria (low risk). In Hungary, the gains in life expectancy are (43.4 – 36.2 =) 7.21 years for fe-males and (37.4 – 28.0 =) 9.4 years for males, both aged 40. These figures moderate to (21.2 – 15.6 =) 5.72 and (17.1 – 11.3 =) 5.8 years for elderly people aged 65, respectively. The Czech Republic represents an interim phase between the two other countries regarding ad-vancement in life expectancy, the respective gains exceed the Hungarian values: (45.8 – 37.8 =) 8.0, (39.7 – 29.7 =) 10.0, (23.0 – 16.6 =) 6.4, and (18.2 – 12.3 =) 5.9 years. In contrast, a 40-year-old woman may benefit from an additional (46.6 – 41.3 =) 5.3 years in Austria, while the corresponding accrual for men is (42.3 – 35.7 =) 6.6 years. On reaching 65 years, the increment is (23.4 – 19.3 =) 4.1 and (20.0 – 16.1 =) 3.9 years.

2021 ◽  
Vol 14 (1-2) ◽  
pp. 28-54
Author(s):  
Zuzana Bártová

Abstract This paper contributes to the sociological theorization of religious lifestyles in consumer culture, analyzing one of its most important identity markers: style. Based on a three-year comparative ethnographic research project into five convert Buddhist organizations in France and the Czech Republic, it finds that style is expressed through aesthetics with its adornment practices apparent in everyday life materializations of Buddhist symbols. The stylistic dimension is also found in practitioners’ attitudes towards Buddhism, as they may use the discourse of taste. Moreover, Buddhist style stands for the collective, coherent, and systematic emotional patterns expressed in Buddhist symbols, individual and collective experiences, and the ethics and behavior they display in everyday life. The paper also explores how this style is adapted to the educated, middle-class, city-dweller practitioners and how it respects dynamics of consumer culture with its emphasis on identity, style, and values of well-being, authenticity, and personal development.


1997 ◽  
Vol 16 (4) ◽  
pp. 315-331 ◽  
Author(s):  
Cheryl L. Albright ◽  
John W. Farquhar ◽  
Richard Havel ◽  
Philip Frost ◽  
Sushma Palmer ◽  
...  

Cardiovascular Disease (CVD) morbidity and mortality rates in the Czech Republic are among the highest in the industrialized world. Due to the substantial burden CVD plays on the health and well being of the Czech society, a variety of health promotion/disease management strategies to reduce CVD risk need to be designed and implemented. A project that combined community-based health education programs designed to address pervasive perceptions and cultural traditions that influence lifestyle factors, with secondary and tertiary prevention clinical strategies to aggressively treat high-risk individuals was recently conducted in Dubec, a small Czech community. This article describes the methods used in this project (i.e., the Healthy Dubec Project) which took American-based technology and experiences in community risk reduction methods and clinical management strategies for high risk patients and adapted them to fit the Czech people and their attitudes about CVD risk behaviors.


2016 ◽  
Vol 35 (3) ◽  
pp. 224-239 ◽  
Author(s):  
František Murgaš ◽  
Michal Klobučník

AbstractAn important methodological question in the general discourses concerning the quality of life is scale and mutual relationship of its two dimensions. In this article, the subjective dimension is understood as well-being; data from its spatial differentiation in districts of the Czech Republic were obtained from a face-to-face interview. The objective dimension is understood from the geographical aspect as quality of a place; it is quantified by the indicators of the golden standard of quality of life. Data from its spatial differentiation in districts of the Czech Republic are secondary. The article aims to compare the data of well-being and quality of a place for all the districts, with a premise of a higher level of well-being in the districts with a higher quality of a place, and vice-versa. This would answer the question of whether the quality of a place affects well-being.


Author(s):  
Julie Poláčková ◽  
Andrea Jindrová

The paper is focused on the methodological approaches to assess subjective aspects of the quality of life in the various regions. Besides, directly measurable indicators, which may not always correspond with the quality of life of the individuals in the regions, the subjective aspects of well-being are also in the spotlight. The pilot analysis examined the answers to questions such as: Are you satisfied with the health and social services, the cost of living, safety of public spaces, affordability of housing, or your personal job situation? These answers were used for an assessment of the quality of life in the different regions of the Czech Republic. We used multivariate modeling to explicitly account for the hierarchical structure of respondents within the Czech Republic, and for understanding patterns of variation between regions. The principal component analysis (PCA) was used for the general analysis of regional differences. The overall goal of principal component analysis is to reduce the dimensionality of a data set, while simultaneously retaining the information present in the data. The differences were illustrated by cartographic visualization and by scatter plots of the first three principal components. The cluster analysis was used to discover similarities and differences of the quality of life within various regions of the Czech Republic.


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