Abstract Background The quality of life of elderly people has become relevant with the demographic shift that has resulted in greying of population. There are indications that concepts and concerns related to quality of life in older ages are different from the general population. Methods A narrative review of selected literature.
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The aim of our study is to examine the role of some factors sociodemographic patterns, social relationship support, and trust in healthcare actors on structure of quality of life among the Italian elderly population, by stratifying according to presence or absence of disability.
By applying the MCA between disabled and nondisabled elderly population, we identified three dimensions: Introduction The 20th century has been characterized by a great advance in life expectancy; over the last century, chronic health problems have replaced infectious diseases as the dominant health care burden, and almost all chronic conditions are strongly related to aging.
Only in the last few years many health care planners and governments have become aware of this phenomenon and population-based studies regarding age-related chronic diseases have been implemented. Despite the worldwide aging phenomenon, data regarding health and time trends referring to the health of the elderly population are still inadequate [ 1 ].
Welfare systems urge to address the social determinants and social gradients of health among the elderly population, for whom social relationships play an important role in access and use of higher quality healthcare services [ 2 ]. Among the elderly population, participation in social relationships is likely to be associated with better health status indicators [ 3 — 10 ].
Similarly, poor social relationships are likely to be associated with worse measures of quality of life [ 1112 ]. Furthermore, the association between social networks and health status is likely to be influenced by social context and therefore by behavioral, cultural, psychological, and physiological condition and material instability [ 1314 ].
Over the last years, in health and social science fields, growing interest has been devoted to services, programs, and treatments that improve individual quality of life. For this reason perceived well-being of service users is crucial to assess the effects and importance of treatments and services and determining quality of life dimensions.
The concept of quality of life for disabled people has different meaning and the improvement of life conditions becomes a shared goal of many programs aimed at these people, acquiring great relevance in outcome analyses.
A recent analysis of the literature by Schalock [ 16 ] on disabled people about quality of life domains yielded several indicators. The vast majority of these indicators were related to seven core quality of life domains: Following our previous studies [ 17 ], we realized that the application of one-dimensional measures in social relationships and the limits of the application of multiple logistic regression models were not exhaustive to fully explore the influence of other linked dimensions e.
The aim of our study is to explore—by stratifying the subjects into disabled and nondisabled elderly population—the influence of the following factors on structure of quality of life: The sample was stratified by the presence or absence of disability: We assumed that people with disabilities would perceive their health status and quality of life differently than people without disabilities [ 19 ].
Data on disabled and non-disabled people were categorized according to the ISTAT classifications [ 18 ]. Statistical weight coefficients were assigned to the data by the carrying rate of the sample size.
By considering all Schalock dimensions, all mentioned variables were included in the MCA analyses. A framework of determinants on quality of life. Statistical Analysis A preliminary descriptive analysis was carried out to address the modalities of each variable in the same direction, so as to let them occur together.
To explore the factors influencing the perceived quality of life among the elderly population, we applied the Multiple Correspondence Analysis MCA.
MCA is used to analyze a set of observations described by a set of nominal variables. The results provide information which is similar in nature to those produced by Factor Analysis techniques, allowing to explore the structure of categorical variables included a table.
The interpretation of the axes is based upon the contributions of the categories. The explained inertia i. The interpretation in MCA is often based upon proximities between points in a low-dimensional map i.
As well as for Correspondence Analysis CAproximities are meaningful only between points from the same set i. Since the interpretation of MCA is more delicate than simple CA, several approaches have been suggested to offer the simplicity of interpretation of CA for indicator matrices.
On each of the factorial axes, we obtained a discrimination measure to represent the intensity with which the variable explained the axis [ 21 ].
Moreover, we analyzed the relative contributions of variables and we assessed which modalities are represented on the axes. Results The disabled sample shows that Disabled people declared to need homecare services for the Tourism experience and quality of life among elderly tourists.
For instance, Silverstein and Parker () examined whether changes in leisure activities were related to quality of life among elderly in Sweden. The results suggested that those people increasing their participation across different activities tended to perceive an.
Quality of Life in the Elderly. By Richard W. Besdine, MD, Professor of Medicine, Greer Professor of Geriatric Medicine, and Director, Division of Geriatrics and Palliative Medicine and of the Center for Gerontology and Healthcare Research, Warren Alpert Medical School of Brown University.
Quality of life from the perspectives of older people ZAHAVA GABRIEL* and ANN BOWLING* ABSTRACT This paper report results from a national survey of quality of life (QoL), based on.
Background: Quality of Life (QOL) among elderly is a neglected issue especially in developing countries including India. Aim: To assess the QOL and its associated factors among elderly population. Materials and Methods: A community based cross-sectional study was conducted among elderly subjects.
Results. It was found out that sleep quality of the elderly people was poor.
It was noted that there was a close correlation between age and sleep quality and quality of life of the elderly people, and sleep quality and quality of life decreased as the age of the elderly people increased.
Nov 18, · Chronic conditions can lower quality of life for older adults and contribute to the leading causes of death among this population. Center for Disease Control and Prevention's Stopping Elderly Accidents, Deaths, CDC Falls Among Older Adults: Important Facts about Falls.