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Determinants of Quality of Life in Ageing Populations: Results from a Cross-Sectional Study in Finland, Poland and Spain

PURPOSE: To comprehensively identify the determinants of quality of life (QoL) in a population study sample of persons aged 18–50 and 50+. METHODS: In this observational, cross-sectional study, QoL was measured with the WHOQOL-AGE, a brief instrument designed to measure QoL in older adults. Eight hi...

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Autores principales: Raggi, Alberto, Corso, Barbara, Minicuci, Nadia, Quintas, Rui, Sattin, Davide, De Torres, Laura, Chatterji, Somnath, Frisoni, Giovanni Battista, Haro, Josep Maria, Koskinen, Seppo, Martinuzzi, Andrea, Miret, Marta, Tobiasz-Adamczyk, Beata, Leonardi, Matilde
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4951007/
https://www.ncbi.nlm.nih.gov/pubmed/27434374
http://dx.doi.org/10.1371/journal.pone.0159293
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author Raggi, Alberto
Corso, Barbara
Minicuci, Nadia
Quintas, Rui
Sattin, Davide
De Torres, Laura
Chatterji, Somnath
Frisoni, Giovanni Battista
Haro, Josep Maria
Koskinen, Seppo
Martinuzzi, Andrea
Miret, Marta
Tobiasz-Adamczyk, Beata
Leonardi, Matilde
author_facet Raggi, Alberto
Corso, Barbara
Minicuci, Nadia
Quintas, Rui
Sattin, Davide
De Torres, Laura
Chatterji, Somnath
Frisoni, Giovanni Battista
Haro, Josep Maria
Koskinen, Seppo
Martinuzzi, Andrea
Miret, Marta
Tobiasz-Adamczyk, Beata
Leonardi, Matilde
author_sort Raggi, Alberto
collection PubMed
description PURPOSE: To comprehensively identify the determinants of quality of life (QoL) in a population study sample of persons aged 18–50 and 50+. METHODS: In this observational, cross-sectional study, QoL was measured with the WHOQOL-AGE, a brief instrument designed to measure QoL in older adults. Eight hierarchical regression models were performed to identify determinants of QoL. Variables were entered in the following order: Sociodemographic; Health Habits; Chronic Conditions; Health State description; Vision and Hearing; Social Networks; Built Environment. In the final model, significant variables were retained. The final model was re-run using data from the three countries separately. RESULTS: Complete data were available for 5639 participants, mean age 46.3 (SD 18.4). The final model accounted for 45% of QoL variation and the most relevant contribution was given by sociodemographic data (particularly age, education level and living in Finland: 17.9% explained QoL variation), chronic conditions (particularly depression: 4.6%) and a wide and rich social network (4.6%). Other determinants were presence of disabling pain, learning difficulties and visual problems, and living in usable house that is perceived as non-risky. Some variables were specifically associated to QoL in single countries: age in Poland, alcohol consumption in Spain, angina in Finland, depression in Spain, and self-reported sadness both in Finland and Poland, but not in Spain. Other were commonly associated to QoL: smoking status, bodily aches, being emotionally affected by health problems, good social network and home characteristics. CONCLUSIONS: Our results highlight the importance of modifiable determinants of QoL, and provide public health indications that could support concrete actions at country level. In particular, smoking cessation, increasing the level of physical activity, improving social network ties and applying universal design approach to houses and environmental infrastructures could potentially increase QoL of ageing population.
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spelling pubmed-49510072016-08-08 Determinants of Quality of Life in Ageing Populations: Results from a Cross-Sectional Study in Finland, Poland and Spain Raggi, Alberto Corso, Barbara Minicuci, Nadia Quintas, Rui Sattin, Davide De Torres, Laura Chatterji, Somnath Frisoni, Giovanni Battista Haro, Josep Maria Koskinen, Seppo Martinuzzi, Andrea Miret, Marta Tobiasz-Adamczyk, Beata Leonardi, Matilde PLoS One Research Article PURPOSE: To comprehensively identify the determinants of quality of life (QoL) in a population study sample of persons aged 18–50 and 50+. METHODS: In this observational, cross-sectional study, QoL was measured with the WHOQOL-AGE, a brief instrument designed to measure QoL in older adults. Eight hierarchical regression models were performed to identify determinants of QoL. Variables were entered in the following order: Sociodemographic; Health Habits; Chronic Conditions; Health State description; Vision and Hearing; Social Networks; Built Environment. In the final model, significant variables were retained. The final model was re-run using data from the three countries separately. RESULTS: Complete data were available for 5639 participants, mean age 46.3 (SD 18.4). The final model accounted for 45% of QoL variation and the most relevant contribution was given by sociodemographic data (particularly age, education level and living in Finland: 17.9% explained QoL variation), chronic conditions (particularly depression: 4.6%) and a wide and rich social network (4.6%). Other determinants were presence of disabling pain, learning difficulties and visual problems, and living in usable house that is perceived as non-risky. Some variables were specifically associated to QoL in single countries: age in Poland, alcohol consumption in Spain, angina in Finland, depression in Spain, and self-reported sadness both in Finland and Poland, but not in Spain. Other were commonly associated to QoL: smoking status, bodily aches, being emotionally affected by health problems, good social network and home characteristics. CONCLUSIONS: Our results highlight the importance of modifiable determinants of QoL, and provide public health indications that could support concrete actions at country level. In particular, smoking cessation, increasing the level of physical activity, improving social network ties and applying universal design approach to houses and environmental infrastructures could potentially increase QoL of ageing population. Public Library of Science 2016-07-19 /pmc/articles/PMC4951007/ /pubmed/27434374 http://dx.doi.org/10.1371/journal.pone.0159293 Text en © 2016 Raggi 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
Raggi, Alberto
Corso, Barbara
Minicuci, Nadia
Quintas, Rui
Sattin, Davide
De Torres, Laura
Chatterji, Somnath
Frisoni, Giovanni Battista
Haro, Josep Maria
Koskinen, Seppo
Martinuzzi, Andrea
Miret, Marta
Tobiasz-Adamczyk, Beata
Leonardi, Matilde
Determinants of Quality of Life in Ageing Populations: Results from a Cross-Sectional Study in Finland, Poland and Spain
title Determinants of Quality of Life in Ageing Populations: Results from a Cross-Sectional Study in Finland, Poland and Spain
title_full Determinants of Quality of Life in Ageing Populations: Results from a Cross-Sectional Study in Finland, Poland and Spain
title_fullStr Determinants of Quality of Life in Ageing Populations: Results from a Cross-Sectional Study in Finland, Poland and Spain
title_full_unstemmed Determinants of Quality of Life in Ageing Populations: Results from a Cross-Sectional Study in Finland, Poland and Spain
title_short Determinants of Quality of Life in Ageing Populations: Results from a Cross-Sectional Study in Finland, Poland and Spain
title_sort determinants of quality of life in ageing populations: results from a cross-sectional study in finland, poland and spain
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4951007/
https://www.ncbi.nlm.nih.gov/pubmed/27434374
http://dx.doi.org/10.1371/journal.pone.0159293
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