Factors Contributing to Active Aging in Older Adults, from the Framework of Roy’s Adaptation Model
Objective. To determine the variables contributing to the explanation of active aging according to Roy’s adaptation model. Methods. Descriptive correlational study, with convenience and snowball sampling. Two hundred older adults with chronic disease, were included. The instruments used were: a) Ye...
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Universidad de Antioquia
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oai:doaj.org-article:13cc5de714184ca9942228ad815eb3da2021-11-27T14:59:09ZFactors Contributing to Active Aging in Older Adults, from the Framework of Roy’s Adaptation Model2216-028010.17533/udea.iee.v36n2e08https://doaj.org/article/13cc5de714184ca9942228ad815eb3da2018-06-01T00:00:00Zhttps://revistas.udea.edu.co/index.php/iee/article/view/333657https://doaj.org/toc/2216-0280Objective. To determine the variables contributing to the explanation of active aging according to Roy’s adaptation model. Methods. Descriptive correlational study, with convenience and snowball sampling. Two hundred older adults with chronic disease, were included. The instruments used were: a) Yesavage’s Geriatric depression scale, b) Pheiffer’s mental state questionnaire, c) basic activities of daily living, d) instrumental activities of daily living, e) Hope scale, f) coping mechanism items from the Successful Aging Inventory (coping with aging), g) hours of volunteer work, and h) The Duke-UNC Functional Social Support Questionnaire. Coping with aging was composed of independence in basic and instrumental activities of daily living, free from symptoms of depression, good mental state, and perception of health as good. Data were analyzed by using descriptive and inferential statistics, and simple and multiple linear regression models. Results. Fifty one percent of the participants showed active aging (42% men, and 56% women). Of the proposed variables, the variables showing effect on the variables of active aging, in the generalized linear model, were years of suffering the disease (Λ=0.922; p=0.008), coping with aging (Λ=0.582; p=0.001), and perceived social support (Λ=0.885; p=0.001). These three variables explained 5% of basic activities of daily living, 41% of the instrumental activities, 12.5% of health perception, 26% of mental state, and 21% of depression. Hope, and volunteer work were not significant. When the variables of active aging were dichotomized, age showed negative effect on global active aging and coping with aging positive effect. Conclusion. Although, proposed variables explained individually active aging, only coping with aging explained global active aging. How to cite this article: Salazar-Barajas ME, Lillo CM, Hernandez CPL, Villarreal RMA,Gallegos CE, Gómez MM, Salazar – Gonzalez BC. Factors Contributing to Active Aging in Older Adults, from the Framework of Roy’s Adaptation Model. Invest. Educ. Enferm. 2018; 36(2):e08.Martha Elba Salazar-BarajasManuel Lillo CrespoPerla Lizeth Hernández CortezMaría de los Ángeles Villarreal ReynaEsther Carlota Gallegos CabrialesMarco Vinicio Gómez MezaBertha Cecilia Salazar GonzalezUniversidad de Antioquiaarticlehealthy agingpsychologic adaptationdepressionactivities of daily livingsocial supportchronic diseasenursing theory.NursingRT1-120ENInvestigación y Educación en Enfermería, Vol 36, Iss 2 (2018) |
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healthy aging psychologic adaptation depression activities of daily living social support chronic disease nursing theory. Nursing RT1-120 |
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healthy aging psychologic adaptation depression activities of daily living social support chronic disease nursing theory. Nursing RT1-120 Martha Elba Salazar-Barajas Manuel Lillo Crespo Perla Lizeth Hernández Cortez María de los Ángeles Villarreal Reyna Esther Carlota Gallegos Cabriales Marco Vinicio Gómez Meza Bertha Cecilia Salazar Gonzalez Factors Contributing to Active Aging in Older Adults, from the Framework of Roy’s Adaptation Model |
description |
Objective. To determine the variables contributing to the explanation of active aging according to Roy’s adaptation model.
Methods. Descriptive correlational study, with convenience and snowball sampling. Two hundred older adults with chronic disease, were included. The instruments used were: a) Yesavage’s Geriatric depression scale, b) Pheiffer’s mental state questionnaire, c) basic activities of daily living, d) instrumental activities of daily living, e) Hope scale, f) coping mechanism items from the Successful Aging Inventory (coping with aging), g) hours of volunteer work, and h) The Duke-UNC Functional Social Support Questionnaire. Coping with aging was composed of independence in basic and instrumental activities of daily living, free from symptoms of depression, good mental state, and perception of health as good. Data were analyzed by using descriptive and inferential statistics, and simple and multiple linear regression models.
Results. Fifty one percent of the participants showed active aging (42% men, and 56% women). Of the proposed variables, the variables showing effect on the variables of active aging, in the generalized linear model, were years of suffering the disease (Λ=0.922; p=0.008), coping with aging (Λ=0.582; p=0.001), and perceived social support (Λ=0.885; p=0.001). These three variables explained 5% of basic activities of daily living, 41% of the instrumental activities, 12.5% of health perception, 26% of mental state, and 21% of depression. Hope, and volunteer work were not significant. When the variables of active aging were dichotomized, age showed negative effect on global active aging and coping with aging positive effect.
Conclusion. Although, proposed variables explained individually active aging, only coping with aging explained global active aging.
How to cite this article: Salazar-Barajas ME, Lillo CM, Hernandez CPL, Villarreal RMA,Gallegos CE, Gómez MM, Salazar – Gonzalez BC. Factors Contributing to Active Aging in Older Adults, from the Framework of Roy’s Adaptation Model. Invest. Educ. Enferm. 2018; 36(2):e08. |
format |
article |
author |
Martha Elba Salazar-Barajas Manuel Lillo Crespo Perla Lizeth Hernández Cortez María de los Ángeles Villarreal Reyna Esther Carlota Gallegos Cabriales Marco Vinicio Gómez Meza Bertha Cecilia Salazar Gonzalez |
author_facet |
Martha Elba Salazar-Barajas Manuel Lillo Crespo Perla Lizeth Hernández Cortez María de los Ángeles Villarreal Reyna Esther Carlota Gallegos Cabriales Marco Vinicio Gómez Meza Bertha Cecilia Salazar Gonzalez |
author_sort |
Martha Elba Salazar-Barajas |
title |
Factors Contributing to Active Aging in Older Adults, from the Framework of Roy’s Adaptation Model |
title_short |
Factors Contributing to Active Aging in Older Adults, from the Framework of Roy’s Adaptation Model |
title_full |
Factors Contributing to Active Aging in Older Adults, from the Framework of Roy’s Adaptation Model |
title_fullStr |
Factors Contributing to Active Aging in Older Adults, from the Framework of Roy’s Adaptation Model |
title_full_unstemmed |
Factors Contributing to Active Aging in Older Adults, from the Framework of Roy’s Adaptation Model |
title_sort |
factors contributing to active aging in older adults, from the framework of roy’s adaptation model |
publisher |
Universidad de Antioquia |
publishDate |
2018 |
url |
https://doaj.org/article/13cc5de714184ca9942228ad815eb3da |
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