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Prevalence and related factors of Active and Healthy Ageing in Europe according to two models: Results from the Survey of Health, Ageing and Retirement in Europe (SHARE)

BACKGROUND: Active and Healthy Ageing (AHA) is the process of optimizing opportunities related to health, participation, and safety in order to improve quality of life. The approach most often used to measure AHA is Rowe and Kahn’s Satisfactory Ageing model. Nonetheless, this model has limitations....

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Autores principales: Bosch-Farré, Cristina, Garre-Olmo, Josep, Bonmatí-Tomàs, Anna, Malagón-Aguilera, Maria Carme, Gelabert-Vilella, Sandra, Fuentes-Pumarola, Concepció, Juvinyà-Canal, Dolors
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6205806/
https://www.ncbi.nlm.nih.gov/pubmed/30372472
http://dx.doi.org/10.1371/journal.pone.0206353
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author Bosch-Farré, Cristina
Garre-Olmo, Josep
Bonmatí-Tomàs, Anna
Malagón-Aguilera, Maria Carme
Gelabert-Vilella, Sandra
Fuentes-Pumarola, Concepció
Juvinyà-Canal, Dolors
author_facet Bosch-Farré, Cristina
Garre-Olmo, Josep
Bonmatí-Tomàs, Anna
Malagón-Aguilera, Maria Carme
Gelabert-Vilella, Sandra
Fuentes-Pumarola, Concepció
Juvinyà-Canal, Dolors
author_sort Bosch-Farré, Cristina
collection PubMed
description BACKGROUND: Active and Healthy Ageing (AHA) is the process of optimizing opportunities related to health, participation, and safety in order to improve quality of life. The approach most often used to measure AHA is Rowe and Kahn’s Satisfactory Ageing model. Nonetheless, this model has limitations. One of the strategic objectives of the WHO Global Strategy and Action Plan (2016) is to improve Healthy Ageing measurement. Our objectives were to compare two models of assessing AHA and further compare the results by country and sociodemographic variables. METHODS: This was a cross-sectional, observational analysis of a representative sample of the general population aged 50 years and older in Europe. The data analysed were obtained by the Study of Health, Ageing and Retirement in Europe (SHARE). The dependent variable was AHA and its dimensions, measured using the Rowe and Kahn AHA model (AHA-B) and the authors’ model based on the WHO definition (AHA-BPS). A descriptive analysis and multivariate models of binary logistical regression were developed. RESULTS: The sample consisted of 52,641 participants (mean age 65.24 years [SD = 10.18; Range = 50–104], 53.2% women). Healthy Ageing prevalence in the AHA-B model was 23.5% (95%CI = 23.1%-23.9%). In the AHA-BPS model, this prevalence was 38.9%. In both models, significant variations were observed between countries, and were distributed along a north-western to south-eastern gradient. The sociodemographic variables associated with the absence of AHA were advanced age, female sex, death of spouse, low educational level, lack of employment, and low financial status. Comparing the two models, the strength of association between absence of AHA and advanced age (85 years and older) was four times greater in the AHA-B model. CONCLUSIONS: Our results showing differences between these two models provide evidence that the AHA-BPS model does not penalize older age and is more likely to characterize AHA from a health promotion perspective.
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spelling pubmed-62058062018-11-19 Prevalence and related factors of Active and Healthy Ageing in Europe according to two models: Results from the Survey of Health, Ageing and Retirement in Europe (SHARE) Bosch-Farré, Cristina Garre-Olmo, Josep Bonmatí-Tomàs, Anna Malagón-Aguilera, Maria Carme Gelabert-Vilella, Sandra Fuentes-Pumarola, Concepció Juvinyà-Canal, Dolors PLoS One Research Article BACKGROUND: Active and Healthy Ageing (AHA) is the process of optimizing opportunities related to health, participation, and safety in order to improve quality of life. The approach most often used to measure AHA is Rowe and Kahn’s Satisfactory Ageing model. Nonetheless, this model has limitations. One of the strategic objectives of the WHO Global Strategy and Action Plan (2016) is to improve Healthy Ageing measurement. Our objectives were to compare two models of assessing AHA and further compare the results by country and sociodemographic variables. METHODS: This was a cross-sectional, observational analysis of a representative sample of the general population aged 50 years and older in Europe. The data analysed were obtained by the Study of Health, Ageing and Retirement in Europe (SHARE). The dependent variable was AHA and its dimensions, measured using the Rowe and Kahn AHA model (AHA-B) and the authors’ model based on the WHO definition (AHA-BPS). A descriptive analysis and multivariate models of binary logistical regression were developed. RESULTS: The sample consisted of 52,641 participants (mean age 65.24 years [SD = 10.18; Range = 50–104], 53.2% women). Healthy Ageing prevalence in the AHA-B model was 23.5% (95%CI = 23.1%-23.9%). In the AHA-BPS model, this prevalence was 38.9%. In both models, significant variations were observed between countries, and were distributed along a north-western to south-eastern gradient. The sociodemographic variables associated with the absence of AHA were advanced age, female sex, death of spouse, low educational level, lack of employment, and low financial status. Comparing the two models, the strength of association between absence of AHA and advanced age (85 years and older) was four times greater in the AHA-B model. CONCLUSIONS: Our results showing differences between these two models provide evidence that the AHA-BPS model does not penalize older age and is more likely to characterize AHA from a health promotion perspective. Public Library of Science 2018-10-29 /pmc/articles/PMC6205806/ /pubmed/30372472 http://dx.doi.org/10.1371/journal.pone.0206353 Text en © 2018 Bosch-Farré et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bosch-Farré, Cristina
Garre-Olmo, Josep
Bonmatí-Tomàs, Anna
Malagón-Aguilera, Maria Carme
Gelabert-Vilella, Sandra
Fuentes-Pumarola, Concepció
Juvinyà-Canal, Dolors
Prevalence and related factors of Active and Healthy Ageing in Europe according to two models: Results from the Survey of Health, Ageing and Retirement in Europe (SHARE)
title Prevalence and related factors of Active and Healthy Ageing in Europe according to two models: Results from the Survey of Health, Ageing and Retirement in Europe (SHARE)
title_full Prevalence and related factors of Active and Healthy Ageing in Europe according to two models: Results from the Survey of Health, Ageing and Retirement in Europe (SHARE)
title_fullStr Prevalence and related factors of Active and Healthy Ageing in Europe according to two models: Results from the Survey of Health, Ageing and Retirement in Europe (SHARE)
title_full_unstemmed Prevalence and related factors of Active and Healthy Ageing in Europe according to two models: Results from the Survey of Health, Ageing and Retirement in Europe (SHARE)
title_short Prevalence and related factors of Active and Healthy Ageing in Europe according to two models: Results from the Survey of Health, Ageing and Retirement in Europe (SHARE)
title_sort prevalence and related factors of active and healthy ageing in europe according to two models: results from the survey of health, ageing and retirement in europe (share)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6205806/
https://www.ncbi.nlm.nih.gov/pubmed/30372472
http://dx.doi.org/10.1371/journal.pone.0206353
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