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Is there an association between ageist attitudes and frailty?
BACKGROUND: Frailty is defined as a state of vulnerability to stressors that is associated with higher morbidity, mortality and healthcare utilization in older adults. Ageism is “a process of systematic stereotyping and discrimination against people because they are old.” Explicit biases involve del...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6880500/ https://www.ncbi.nlm.nih.gov/pubmed/31771518 http://dx.doi.org/10.1186/s12877-019-1357-y |
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author | Salguero, Douglas Ferri-Guerra, Juliana Mohammed, Nadeem Y. Baskaran, Dhanya Aparicio-Ugarriza, Raquel Mintzer, Michael J. Ruiz, Jorge G. |
author_facet | Salguero, Douglas Ferri-Guerra, Juliana Mohammed, Nadeem Y. Baskaran, Dhanya Aparicio-Ugarriza, Raquel Mintzer, Michael J. Ruiz, Jorge G. |
author_sort | Salguero, Douglas |
collection | PubMed |
description | BACKGROUND: Frailty is defined as a state of vulnerability to stressors that is associated with higher morbidity, mortality and healthcare utilization in older adults. Ageism is “a process of systematic stereotyping and discrimination against people because they are old.” Explicit biases involve deliberate or conscious controls, while implicit bias involve unconscious processes. Multiple studies show that self-directed ageism is a risk factor for increased morbidity and mortality. The purpose of this study was to determine whether explicit ageist attitudes are associated with frailty in Veterans. METHODS: This is a cross-sectional study of Veterans 50 years and older who completed the Kogan’s Attitudes towards Older People Scale (KAOP) scale to assess explicit ageist attitudes and the Implicit Association Test (IAT) to evaluate implicit ageist attitudes from July 2014 through April 2015. We constructed a frailty index (FI) of 44 variables (demographics, comorbidities, number of medications, laboratory tests, and activities of daily living) that was retrospectively applied to the time of completion of the KAOP and IAT. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by multinomial logistic regression models with frailty status (robust, prefrail and frail) as the outcome variable, and with KAOP and IAT scores as the independent variables. Age, race, ethnicity, median household income and comorbidities were considered as covariates. RESULTS: Patients were 89.76% male, 48.03% White, 87.93% non-Hispanic and the mean age was 60.51 (SD = 7.16) years. The proportion of robust, pre-frail and frail patients was 11.02% (n = 42), 59.58% (n = 227) and 29.40% (n = 112) respectively. The KAOP was completed by 381 and the IAT by 339 participants. In multinomial logistic regression, neither explicit ageist attitudes (KAOP scale score) nor implicit ageist attitudes (IAT) were associated with frailty in community dwelling Veterans after adjusting for covariates: OR = .98 (95% CI = .95–1.01), p = .221, and OR:=.97 (95% CI = .37–2.53), p = .950 respectively. CONCLUSIONS: This study shows that neither explicit nor implicit ageist attitudes were associated with frailty in community dwelling Veterans. Further longitudinal and larger studies with more diverse samples and measured with other ageism scales should evaluate the independent contribution of ageist attitudes to frailty in older adults. |
format | Online Article Text |
id | pubmed-6880500 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68805002019-11-29 Is there an association between ageist attitudes and frailty? Salguero, Douglas Ferri-Guerra, Juliana Mohammed, Nadeem Y. Baskaran, Dhanya Aparicio-Ugarriza, Raquel Mintzer, Michael J. Ruiz, Jorge G. BMC Geriatr Research Article BACKGROUND: Frailty is defined as a state of vulnerability to stressors that is associated with higher morbidity, mortality and healthcare utilization in older adults. Ageism is “a process of systematic stereotyping and discrimination against people because they are old.” Explicit biases involve deliberate or conscious controls, while implicit bias involve unconscious processes. Multiple studies show that self-directed ageism is a risk factor for increased morbidity and mortality. The purpose of this study was to determine whether explicit ageist attitudes are associated with frailty in Veterans. METHODS: This is a cross-sectional study of Veterans 50 years and older who completed the Kogan’s Attitudes towards Older People Scale (KAOP) scale to assess explicit ageist attitudes and the Implicit Association Test (IAT) to evaluate implicit ageist attitudes from July 2014 through April 2015. We constructed a frailty index (FI) of 44 variables (demographics, comorbidities, number of medications, laboratory tests, and activities of daily living) that was retrospectively applied to the time of completion of the KAOP and IAT. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated by multinomial logistic regression models with frailty status (robust, prefrail and frail) as the outcome variable, and with KAOP and IAT scores as the independent variables. Age, race, ethnicity, median household income and comorbidities were considered as covariates. RESULTS: Patients were 89.76% male, 48.03% White, 87.93% non-Hispanic and the mean age was 60.51 (SD = 7.16) years. The proportion of robust, pre-frail and frail patients was 11.02% (n = 42), 59.58% (n = 227) and 29.40% (n = 112) respectively. The KAOP was completed by 381 and the IAT by 339 participants. In multinomial logistic regression, neither explicit ageist attitudes (KAOP scale score) nor implicit ageist attitudes (IAT) were associated with frailty in community dwelling Veterans after adjusting for covariates: OR = .98 (95% CI = .95–1.01), p = .221, and OR:=.97 (95% CI = .37–2.53), p = .950 respectively. CONCLUSIONS: This study shows that neither explicit nor implicit ageist attitudes were associated with frailty in community dwelling Veterans. Further longitudinal and larger studies with more diverse samples and measured with other ageism scales should evaluate the independent contribution of ageist attitudes to frailty in older adults. BioMed Central 2019-11-27 /pmc/articles/PMC6880500/ /pubmed/31771518 http://dx.doi.org/10.1186/s12877-019-1357-y Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Salguero, Douglas Ferri-Guerra, Juliana Mohammed, Nadeem Y. Baskaran, Dhanya Aparicio-Ugarriza, Raquel Mintzer, Michael J. Ruiz, Jorge G. Is there an association between ageist attitudes and frailty? |
title | Is there an association between ageist attitudes and frailty? |
title_full | Is there an association between ageist attitudes and frailty? |
title_fullStr | Is there an association between ageist attitudes and frailty? |
title_full_unstemmed | Is there an association between ageist attitudes and frailty? |
title_short | Is there an association between ageist attitudes and frailty? |
title_sort | is there an association between ageist attitudes and frailty? |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6880500/ https://www.ncbi.nlm.nih.gov/pubmed/31771518 http://dx.doi.org/10.1186/s12877-019-1357-y |
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