A quantitative dynamic systems model of health-related quality of life among older adults

Mattia Roppolo,1,2 E Saskia Kunnen,2 Paul L van Geert,2 Anna Mulasso,1 Emanuela Rabaglietti1 1Department of Psychology, University of Torino, Torino, Italy; 2Department of Developmental Psychology, Rijksuniversiteit of Groningen, Groningen, Netherlands Abstract: Health-related quality of life (HRQ...

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Autores principales:	Roppolo M, Kunnen ES, van Geert PL, Mulasso A, Rabaglietti E
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2015
Materias:	Older adults dynamic systems model non-linear equations simulated trajectories validation Geriatrics RC952-954.6
Acceso en línea:	https://doaj.org/article/7df07448b2df44c9bd88d29147681108
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spelling	oai:doaj.org-article:7df07448b2df44c9bd88d291476811082021-12-02T06:58:36ZA quantitative dynamic systems model of health-related quality of life among older adults1178-1998https://doaj.org/article/7df07448b2df44c9bd88d291476811082015-10-01T00:00:00Zhttps://www.dovepress.com/a-quantitative-dynamic-systems-model-of-health-related-quality-of-life-peer-reviewed-article-CIAhttps://doaj.org/toc/1178-1998Mattia Roppolo,1,2 E Saskia Kunnen,2 Paul L van Geert,2 Anna Mulasso,1 Emanuela Rabaglietti1 1Department of Psychology, University of Torino, Torino, Italy; 2Department of Developmental Psychology, Rijksuniversiteit of Groningen, Groningen, Netherlands Abstract: Health-related quality of life (HRQOL) is a person-centered concept. The analysis of HRQOL is highly relevant in the aged population, which is generally suffering from health decline. Starting from a conceptual dynamic systems model that describes the development of HRQOL in individuals over time, this study aims to develop and test a quantitative dynamic systems model, in order to reveal the possible dynamic trends of HRQOL among older adults. The model is tested in different ways: first, with a calibration procedure to test whether the model produces theoretically plausible results, and second, with a preliminary validation procedure using empirical data of 194 older adults. This first validation tested the prediction that given a particular starting point (first empirical data point), the model will generate dynamic trajectories that lead to the observed endpoint (second empirical data point). The analyses reveal that the quantitative model produces theoretically plausible trajectories, thus providing support for the calibration procedure. Furthermore, the analyses of validation show a good fit between empirical and simulated data. In fact, no differences were found in the comparison between empirical and simulated final data for the same subgroup of participants, whereas the comparison between different subgroups of people resulted in significant differences. These data provide an initial basis of evidence for the dynamic nature of HRQOL during the aging process. Therefore, these data may give new theoretical and applied insights into the study of HRQOL and its development with time in the aging population. Keywords: older adults, dynamic systems model, nonlinear equations, simulated trajectories, validationRoppolo MKunnen ESvan Geert PLMulasso ARabaglietti EDove Medical PressarticleOlder adultsdynamic systems modelnon-linear equationssimulated trajectoriesvalidationGeriatricsRC952-954.6ENClinical Interventions in Aging, Vol Volume 10, Pp 1755-1770 (2015)
institution	DOAJ
collection	DOAJ
language	EN
topic	Older adults dynamic systems model non-linear equations simulated trajectories validation Geriatrics RC952-954.6
spellingShingle	Older adults dynamic systems model non-linear equations simulated trajectories validation Geriatrics RC952-954.6 Roppolo M Kunnen ES van Geert PL Mulasso A Rabaglietti E A quantitative dynamic systems model of health-related quality of life among older adults
description	Mattia Roppolo,1,2 E Saskia Kunnen,2 Paul L van Geert,2 Anna Mulasso,1 Emanuela Rabaglietti1 1Department of Psychology, University of Torino, Torino, Italy; 2Department of Developmental Psychology, Rijksuniversiteit of Groningen, Groningen, Netherlands Abstract: Health-related quality of life (HRQOL) is a person-centered concept. The analysis of HRQOL is highly relevant in the aged population, which is generally suffering from health decline. Starting from a conceptual dynamic systems model that describes the development of HRQOL in individuals over time, this study aims to develop and test a quantitative dynamic systems model, in order to reveal the possible dynamic trends of HRQOL among older adults. The model is tested in different ways: first, with a calibration procedure to test whether the model produces theoretically plausible results, and second, with a preliminary validation procedure using empirical data of 194 older adults. This first validation tested the prediction that given a particular starting point (first empirical data point), the model will generate dynamic trajectories that lead to the observed endpoint (second empirical data point). The analyses reveal that the quantitative model produces theoretically plausible trajectories, thus providing support for the calibration procedure. Furthermore, the analyses of validation show a good fit between empirical and simulated data. In fact, no differences were found in the comparison between empirical and simulated final data for the same subgroup of participants, whereas the comparison between different subgroups of people resulted in significant differences. These data provide an initial basis of evidence for the dynamic nature of HRQOL during the aging process. Therefore, these data may give new theoretical and applied insights into the study of HRQOL and its development with time in the aging population. Keywords: older adults, dynamic systems model, nonlinear equations, simulated trajectories, validation
format	article
author	Roppolo M Kunnen ES van Geert PL Mulasso A Rabaglietti E
author_facet	Roppolo M Kunnen ES van Geert PL Mulasso A Rabaglietti E
author_sort	Roppolo M
title	A quantitative dynamic systems model of health-related quality of life among older adults
title_short	A quantitative dynamic systems model of health-related quality of life among older adults
title_full	A quantitative dynamic systems model of health-related quality of life among older adults
title_fullStr	A quantitative dynamic systems model of health-related quality of life among older adults
title_full_unstemmed	A quantitative dynamic systems model of health-related quality of life among older adults
title_sort	quantitative dynamic systems model of health-related quality of life among older adults
publisher	Dove Medical Press
publishDate	2015
url	https://doaj.org/article/7df07448b2df44c9bd88d29147681108
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A quantitative dynamic systems model of health-related quality of life among older adults

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