Visualizing Inequality in Health and Socioeconomic Wellbeing in the EU
Findings from the SHARE Survey
Dados Bibliográficos
| ID | 15464643 |
|---|---|
| Autores | Aurea Grané (0000-0003-0980-6409, Universidad Carlos III de Madrid, autor correspondente), Irene Albarrán Lozano (0000-0002-9784-2831, Universidad Carlos III de Madrid), Roger Lumley (0000-0003-0652-7017, Universidad Carlos III de Madrid) |
| Ano | 2020 |
| Volume | 17 |
| Fascículo | 21 |
| Páginas | 7747-7747 |
| Data de publicação | 2020-10-23 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | International Journal of Environmental Research and Public Health (JOURNAL) |
| Identificadores do periódico | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Editora | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph17217747 |
| PMID | 33113969 |
| OpenAlex | W3093513671 |
| Idioma | EN |
| Citações recebidas | 2 |
| Referências citadas | 37 |
The main objective of this paper is to visualize profiles of older Europeans to better understand differing levels of dependency across Europe. Data comes from wave 6 of the Survey of Health, Ageing and Retirement in Europe (SHARE), carried out in 18 countries and representing over 124 million aged individuals in Europe. Using the information of around 30 mixed-type variables, we design four composite indices of wellbeing for each respondent: self-perception of health, physical health and nutrition, mental agility, and level of dependency. Next, by implementing the k -prototypes clustering algorithm, profiles are created by combining those indices with a collection of socio-economic and demographic variables about the respondents. Five profiles are established that segment the dataset into the least to the most individuals at risk of health and socio-economic wellbeing. The methodology we propose is wide enough to be extended to other surveys or disciplines
Demographic economics · Economic growth · Economics · Environmental health · Geography · Health care · Health equity · Inequality · Occupational safety and health · Political science · Social inequality · Socioeconomic status · Global Health Care Issues · Health disparities and outcomes · Health Systems, Economic Evaluations, Quality of Life · Mathematics · Medicine · Psychology
Successful Aging
Extensions to the k-Means Algorithm for Clustering Large Data Sets with Categorical Values
Least squares quantization in PCM
A General Coefficient of Similarity and Some of Its Properties
Health, functioning, and disability in older adults—present status and future implications
Subjective wellbeing, health, and ageing
Data Resource Profile
Active aging policy in Europe
Comparing the education gradient in health deterioration among the elderly in six OECD countries
Help Wanted
Activity limitation in elderly people in the European context of gender inequality
The Impact of Population Aging and Public Health Support on EU Labor Markets
Growing up in wartime
How "Successful" Do Older Europeans Age? Findings From SHARE
Educational level and changes in health across Europe
Height, Literacy and Survival
Disability trends among older adults in ten European countries over 2004–2013, using various indicators and Survey of Health, Ageing and Retirement in Europe (SHARE) data
How We Fall Apart
Long-Term Care Determinants of Care Arrangements for Older People in Europe
Disability assumptions, concepts and theory
Depression in later life
ICT Exposure and the Level of Wellbeing and Progress
How Does Evidence Matter? Understanding 'What Works' for Wellbeing
Local Meanings of Wellbeing and the Construction of Wellbeing Indicators
The Multi-dimensional Characteristics of Wellbeing
Ageing, Health and Life Satisfaction of the Oldest Old
| Obras citantes distintas | 2 |
|---|---|
| Citações por ano | 0,4 |
| Intervalo de citações | 2021 - 2024 (4) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 2 |