scholarly journals Care of caregivers – who is responsible?

2021 ◽  
Vol 33 (2) ◽  
pp. 400-403
Author(s):  
Priya P Karpaga ◽  
Gouri Kumari Padhy ◽  
Mohan Kumar

Demographic and epidemiologic transition coupled with increasing life expectancy has resulted in high old age dependency ratios and rising burden of comorbidities; especially non communicable diseases. This demands large pool of caregivers to support the dependents; physically, psychologically and financially. But the problems faced by caregivers – stress, anxiety, monetary, physical exhaustion and sickness, lack of time for personal care and health resulting in caregiver burden – is often neglected. This article summarizes the importance and/or role of caregivers, theirs problems and recommendations to identify, manage and prevent caregiver burden. The involvement of various stakeholders namely medical and para-medical colleges through training and medical education, hospitals, physicians, psychiatrists and/or psychologists, research organizations, governments and their policies is the need of the hour.

Author(s):  
Carlos M. Paixao Junior ◽  
Roberto A. Lourenço ◽  
Fernando Morales-Martínez

Considering questions related to South and Central America probably is best done by using the better-known term of Latin America. Although much of the history of the region has common roots, many specificities make these countries somewhat heterogeneous. However, one can say that ageing in the region has been accelerated and diverse from what was witnessed in more affluent countries elsewhere in the world, because of the persistent problem of poverty still unresolved in Latin America. The over-60 population has been growing in the region for the past 30 years, producing an increase in old-age indices and old-age dependency ratios. This raises important issues about the social protection models that should be adopted to cope with these demographic trends.


2020 ◽  
Vol 11 ◽  
pp. 100579 ◽  
Author(s):  
Fabrice Kämpfen ◽  
Iliana V. Kohler ◽  
Mamadou Bountogo ◽  
James Mwera ◽  
Hans-Peter Kohler ◽  
...  

2012 ◽  
Vol 18 (18) ◽  
pp. 55-68
Author(s):  
Jolanta Kurkiewicz ◽  
Oskar Knapik

Abstract.The aim of the paper is to demonstrate differences and similarities in population structures of the poviats of Małopolskie voivodship in the years 2010‒2030, with particular attention to population ageing. To describe the ageing process two types of indicators are used, namely conventional and prospective measures. As conventional ones we assume the percentage of the population aged 65 and over, and the old-age dependency ratio expressed as the number of persons aged 65 and over per 100 persons aged 20‒64. The same aspects of population ageing are expressed by a new group of measures based on a fresh concept for measuring age, the so-called prospective age. Unlike chronological (retrospective) age, prospective age takes into account the changes in life expectancy that occur in the period under consideration. Using the data coming from Demographic Years Book 2011, and from Demographic Projection 2008‒2011 (www.stat.gov.pl) some types of population ageing patterns in Małopolskie voivodship by poviats until 2030 are demonstrated. They count both differences in population ageing of poviats in Małopolskie voivodship and the dynamics of this process in view of conventional and prospective measures. The general features of demographic ageing in Małopolskie voivodship in 2010‒2030 are formulated in conclusions.


SAGE Open ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 215824402098302
Author(s):  
Elena Nebolsina

The article investigates the relationship between demographic burden and insurance market by employing panel vector autoregression models with six groups of endogenous variables to a dynamic panel data set of 25 economies for the period 1980–2016. Demographic burden is represented by dependency ratios measured in respect to the population younger than the age of 15 (young-age dependency ratio), population above the age of 64 (old-age dependency ratio) as well as males and females above the age of 64 being examined separately. As indicators of insurance market development, life insurance density, non-life insurance density, and total insurance density are used. The robustness of the results is verified across 10 subsamples of the main observation period. The conducted analyses show a heterogeneous impact of demographic burden on the insurance market. The impulse responses reveal that negative effects prevail in the long term, which may result from the negative impact of an increasing demographic burden on the economy. In the short term, growth in female and male old-age dependency ratios drives up life and non-life insurance density.


Sign in / Sign up

Export Citation Format

Share Document