Assessing Competence: The European Survey on Aging Protocol (ESAP)

Objectives: The main goal of this research project was to translate and adapt the European Survey on Ageing Protocol (ESAP) to 7 European countries/cultures. This article presents preliminary results from the ESAP, the basic assessment instrument of EXCELSA (European Longitudinal Study of Aging). Me...

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Veröffentlicht in:Gerontology (Basel) 2004-09, Vol.50 (5), p.330-347
Hauptverfasser: Fernández-Ballesteros, Rocío, Zamarrón, María Dolores, Rudinger, Georg, Schroots, Johannes J.F., Hekkinnen, Eino, Drusini, Andrea, Paul, Constanza, Charzewska, Jadwiga, Rosenmayr, Leopold
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container_issue 5
container_start_page 330
container_title Gerontology (Basel)
container_volume 50
creator Fernández-Ballesteros, Rocío
Zamarrón, María Dolores
Rudinger, Georg
Schroots, Johannes J.F.
Hekkinnen, Eino
Drusini, Andrea
Paul, Constanza
Charzewska, Jadwiga
Rosenmayr, Leopold
description Objectives: The main goal of this research project was to translate and adapt the European Survey on Ageing Protocol (ESAP) to 7 European countries/cultures. This article presents preliminary results from the ESAP, the basic assessment instrument of EXCELSA (European Longitudinal Study of Aging). Methods: 672 individuals aged 30–85, selected through quota sampling (by age, gender, education and living conditions), participated in this study, with 96 subjects from each of the 7 European countries. The basic research protocol for assessing competence and its determinants was designed to be administered in a 90-min in-home face-to-face interview. It contains a series of questions, instruments, scales and physical tests assessing social relationships and caregiving, mental abilities, well-being, personality, mastery and perceived control, self-reported health, lifestyles, anthropometry, biobehavioral measures and sociodemographic variables. Results: 84% of ESAP measures are age-dependent and 75% of them discriminate between education levels. Minor differences were found due to gender, and between people living in rural and urban areas. Exploratory factor analysis yielded 10 factors accounting for 67.85% of total variance, one of which was identified as cognitive and physical ‘competence’. This factorial structure was tested across countries through concordance coefficients. Finally, using structural equation modeling, our data were fitted into a model of competence. When the sample was split into younger groups (aged 30–49 years) and older ones (50 and more years), the same model was appropriate for our data. Discussion: The results are discussed in accordance with other findings on psychosocial, biophysical and sociodemographic components of competence, and also in accordance with theories on competence and successful aging.
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Exploratory factor analysis yielded 10 factors accounting for 67.85% of total variance, one of which was identified as cognitive and physical ‘competence’. This factorial structure was tested across countries through concordance coefficients. Finally, using structural equation modeling, our data were fitted into a model of competence. When the sample was split into younger groups (aged 30–49 years) and older ones (50 and more years), the same model was appropriate for our data. 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This article presents preliminary results from the ESAP, the basic assessment instrument of EXCELSA (European Longitudinal Study of Aging). Methods: 672 individuals aged 30–85, selected through quota sampling (by age, gender, education and living conditions), participated in this study, with 96 subjects from each of the 7 European countries. The basic research protocol for assessing competence and its determinants was designed to be administered in a 90-min in-home face-to-face interview. It contains a series of questions, instruments, scales and physical tests assessing social relationships and caregiving, mental abilities, well-being, personality, mastery and perceived control, self-reported health, lifestyles, anthropometry, biobehavioral measures and sociodemographic variables. Results: 84% of ESAP measures are age-dependent and 75% of them discriminate between education levels. Minor differences were found due to gender, and between people living in rural and urban areas. Exploratory factor analysis yielded 10 factors accounting for 67.85% of total variance, one of which was identified as cognitive and physical ‘competence’. This factorial structure was tested across countries through concordance coefficients. Finally, using structural equation modeling, our data were fitted into a model of competence. When the sample was split into younger groups (aged 30–49 years) and older ones (50 and more years), the same model was appropriate for our data. Discussion: The results are discussed in accordance with other findings on psychosocial, biophysical and sociodemographic components of competence, and also in accordance with theories on competence and successful aging.</abstract><cop>Basel, Switzerland</cop><pub>Karger</pub><pmid>15331863</pmid><doi>10.1159/000079132</doi><tpages>18</tpages><oa>free_for_read</oa></addata></record>
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subjects Adult
Age Factors
Aged
Aged, 80 and over
Aging
Anthropometry
Behavioural Science Section
Biological and medical sciences
Epidemiology
Europe
General aspects
Health Status
Humans
Intelligence
Interpersonal Relations
Life Style
Medical sciences
Mental Competency - standards
Methodology
Middle Aged
Personality
Physical Fitness
Pilot Projects
Psychometrics
Public health. Hygiene
Public health. Hygiene-occupational medicine
Socioeconomic Factors
Surveys and Questionnaires
title Assessing Competence: The European Survey on Aging Protocol (ESAP)
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