Jaime Perales1, Steven Martin2, Jose Luis Ayuso-Mateos3, Somnath Chatterji4, Noe Garin1, Seppo Koskinen5, Matilde Leonardi6, Marta Miret7, Victoria Moneta1, Beatriz Olaya1, Beata Tobiasz-Adamczyk8, Josep Maria Haro1. 1. Parc Sanitari Sant Joan de Déu,Sant Boi de Llobregat,Barcelona,Spain. 2. Department of Public Health & Primary Care,Cambridge Institute of Public Health,University of Cambridge,Cambridge,UK. 3. Department of Psychiatry,Universidad Autónoma de Madrid,Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM),Instituto de Investigación Sanitaria Princesa (IP),Hospital Universitario la Princesa,Madrid,Spain. 4. Department of Health Statistics and Information Systems,World Health Organization,Geneva,Switzerland. 5. National Institute for Health and Welfare,Helsinki,Finland. 6. Department of Neurology,Public Health and Disability,Italian National Neurological Institute "Carlo Besta" Foundation IRCCS (Istituto di ricovero e cura a carattere scientifico),Milan,Italy. 7. Instituto de Salud Carlos III,Centro de Investigación Biomédica en Red de Salud Mental,CIBERSAM,Madrid,Spain. 8. Chair of Epidemiology and Preventive Medicine,Department of Medical Sociology,Jagiellonian University Medical College,Krakow,Poland.
Abstract
BACKGROUND: Continuous population aging has raised international policy interest in promoting active aging (AA). AA theoretical models have been defined from a biomedical or a psychosocial perspective. These models may be expanded including components suggested by lay individuals. This paper aims to study the correlates of AA in three European countries, namely, Spain, Poland, and Finland using four different definitions of AA. METHODS: The EU COURAGE in Europe project was a cross-sectional general adult population survey conducted in a representative sample of the noninstitutionalized population of Finland, Poland, and Spain. Participants (10,800) lived in the community. This analysis focuses on individuals aged 50 years old and over (7,987). Four definitions (two biomedical, one psychosocial, and a complete definition including biomedical, psychosocial, and external variables) of AA were analyzed. RESULTS: Differences in AA were found for country, age, education, and occupation. Finland scored consistently the highest in AA followed by Spain and Poland. Younger age was associated with higher AA. Higher education and occupation was associated with AA. Being married or cohabiting was associated with better AA compared to being widowed or separated in most definitions. Gender and urbanicity were not associated with AA, with few exceptions. Men scored higher in AA only in Spain, whereas there was no gender association in the other two countries. Being widowed was only associated with lower AA in Poland and not being married was associated with lower AA in Poland and Finland but not Spain. CONCLUSIONS: Associations with education, marital status, and occupation suggest that these factors are the most important components of AA. These association patterns, however, seem to vary across the three countries. Actions to promote AA in these countries may be addressed at reducing inequalities in occupation and education or directly tackling the components of AA lacking in each country.
BACKGROUND: Continuous population aging has raised international policy interest in promoting active aging (AA). AA theoretical models have been defined from a biomedical or a psychosocial perspective. These models may be expanded including components suggested by lay individuals. This paper aims to study the correlates of AA in three European countries, namely, Spain, Poland, and Finland using four different definitions of AA. METHODS: The EU COURAGE in Europe project was a cross-sectional general adult population survey conducted in a representative sample of the noninstitutionalized population of Finland, Poland, and Spain. Participants (10,800) lived in the community. This analysis focuses on individuals aged 50 years old and over (7,987). Four definitions (two biomedical, one psychosocial, and a complete definition including biomedical, psychosocial, and external variables) of AA were analyzed. RESULTS: Differences in AA were found for country, age, education, and occupation. Finland scored consistently the highest in AA followed by Spain and Poland. Younger age was associated with higher AA. Higher education and occupation was associated with AA. Being married or cohabiting was associated with better AA compared to being widowed or separated in most definitions. Gender and urbanicity were not associated with AA, with few exceptions. Men scored higher in AA only in Spain, whereas there was no gender association in the other two countries. Being widowed was only associated with lower AA in Poland and not being married was associated with lower AA in Poland and Finland but not Spain. CONCLUSIONS: Associations with education, marital status, and occupation suggest that these factors are the most important components of AA. These association patterns, however, seem to vary across the three countries. Actions to promote AA in these countries may be addressed at reducing inequalities in occupation and education or directly tackling the components of AA lacking in each country.
Authors: Joan Domènech-Abella; Jaime Perales; Elvira Lara; Maria Victoria Moneta; Ana Izquierdo; Laura Alejandra Rico-Uribe; Jordi Mundó; Josep Maria Haro Journal: J Aging Health Date: 2017-06-16
Authors: Joan Doménech-Abella; Jordi Mundó; Maria Victoria Moneta; Jaime Perales; José Luis Ayuso-Mateos; Marta Miret; Josep Maria Haro; Beatriz Olaya Journal: Soc Psychiatry Psychiatr Epidemiol Date: 2018-01-10 Impact factor: 4.328
Authors: Aislinne Freeman; Stefanos Tyrovolas; Ai Koyanagi; Somnath Chatterji; Matilde Leonardi; Jose Luis Ayuso-Mateos; Beata Tobiasz-Adamczyk; Seppo Koskinen; Christine Rummel-Kluge; Josep Maria Haro Journal: BMC Public Health Date: 2016-10-19 Impact factor: 3.295
Authors: Javier Jerez-Roig; Marina Bosque-Prous; Maria Giné-Garriga; Caritat Bagur-Calafat; Dyego L Bezerra de Souza; Ester Teixidó-Compañó; Albert Espelt Journal: PLoS One Date: 2018-12-11 Impact factor: 3.240
Authors: Noe Garin; Beatriz Olaya; Elvira Lara; Maria Victoria Moneta; Marta Miret; Jose Luis Ayuso-Mateos; Josep Maria Haro Journal: BMC Public Health Date: 2014-08-08 Impact factor: 3.295
Authors: Agnieszka Ćwirlej-Sozańska; Bernard Sozański; Agnieszka Wiśniowska-Szurlej; Anna Wilmowska-Pietruszyńska; Jolanta Kujawa Journal: Biomed Res Int Date: 2018-06-19 Impact factor: 3.411