Related Experiment Video
Updated: Jul 13, 2026

Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design
Published on: May 31, 2021
[Differences in disability-free life expectancy by gender and autonomous regions in Spain]
Rosa Gispert1, Miguel Ruíz-Ramos, M Arán Barés
1Servei d'Informació i Estudis, Departament de Salut, Generalitat de Catalunya. rosa.gispert@gencat.net
Background:
Improvement of population health is the main aim and an important challenge for the health system. To monitor the population health indicators like disability-free life expectancy (DFLE) have been implemented. The purpose of this paper was to analyze the geographical distribution of DFLE according to autonomous regions in Spain.
Methods:
Data of mortality, population and disability for the year 1999, provided by the National Institute of Statistics (INE), were used. To calculate DFLE by gender and region we used the Sullivan method that weights the expected time to live according to the status of disablement of the population. The standard error of DFLE, the expectation of disability and the proportion of time lived free of disability have also been estimated.
Results:
In 1999 the DFLE at birth in Spain was 68.5 year for men and 72.2 years in women. Men lived proportionally more time free of disability than women (91% versus 87.7%) with an expectation of disability of 6.8 and 10.1 years respectively. Variability among regions was higher in DFLE than in life expectancy (LE). The regions with highest LE are not always those with the highest proportion of time lived without disability.
Conclusions:
Highest life expectancy does not always mean best health as it has been assumed currently. The DFLE indicator is a useful tool to show health status differences among the Spanish population.
Related Concept Videos
Socioemotional Experience and Gender Development
Applications of Life Tables
Life Tables
Two-Way ANOVA
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the means for...
Changes in the Appendicular Skeleton with Age
Initially, the limb buds consist of a core of mesenchyme covered by a layer of ectoderm. The ectoderm at the end of the limb bud thickens to form a narrow crest called the apical ectodermal ridge. This ridge stimulates the underlying...
Factors Affecting Illness
For instance, risk factors are connected to illness, disability,...

