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Predictors of Mental Health Status among Older United States Adults with Pain
Poor mental health is common among older adults with pain, resulting in high economic burden and impaired quality of life. This retrospective, cross-sectional database study aimed to identify characteristics associated with good mental health status among United States (US) adults aged ≥50 years wit...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914608/ https://www.ncbi.nlm.nih.gov/pubmed/33562841 http://dx.doi.org/10.3390/bs11020023 |
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author | Axon, David R. Chien, Jonathan |
author_facet | Axon, David R. Chien, Jonathan |
author_sort | Axon, David R. |
collection | PubMed |
description | Poor mental health is common among older adults with pain, resulting in high economic burden and impaired quality of life. This retrospective, cross-sectional database study aimed to identify characteristics associated with good mental health status among United States (US) adults aged ≥50 years with self-reported pain in the last four weeks using a weighted sample of 2017 Medical Expenditure Panel Survey data. Hierarchical multivariable logistic regression models were used to identify statistically significant predictors of good (versus poor) perceived mental health status. From a weighted population of 57,074,842 individuals, 85.5% (95% confidence interval (CI) = 84.4%, 86.7%) had good perceived mental health. Good mental health was associated most strongly with physical health status (adjusted odds ratio (AOR) = 9.216, 95% CI = 7.044, 12.058). Employed individuals were 1.7 times more likely to report good mental health versus unemployed (AOR = 1.715, 95% CI = 1.199, 2.452). Individuals who had completed less than high school education (AOR = 0.750, 95% CI = 0.569, 0.987) or who reported having a limitation (AOR = 0.513, 95% CI = 0.384, 0.684) were less likely to report good mental health. These key characteristics can be utilized to predict mental health status, which may be investigated to better manage concurrent pain and poor mental health. |
format | Online Article Text |
id | pubmed-7914608 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79146082021-03-01 Predictors of Mental Health Status among Older United States Adults with Pain Axon, David R. Chien, Jonathan Behav Sci (Basel) Article Poor mental health is common among older adults with pain, resulting in high economic burden and impaired quality of life. This retrospective, cross-sectional database study aimed to identify characteristics associated with good mental health status among United States (US) adults aged ≥50 years with self-reported pain in the last four weeks using a weighted sample of 2017 Medical Expenditure Panel Survey data. Hierarchical multivariable logistic regression models were used to identify statistically significant predictors of good (versus poor) perceived mental health status. From a weighted population of 57,074,842 individuals, 85.5% (95% confidence interval (CI) = 84.4%, 86.7%) had good perceived mental health. Good mental health was associated most strongly with physical health status (adjusted odds ratio (AOR) = 9.216, 95% CI = 7.044, 12.058). Employed individuals were 1.7 times more likely to report good mental health versus unemployed (AOR = 1.715, 95% CI = 1.199, 2.452). Individuals who had completed less than high school education (AOR = 0.750, 95% CI = 0.569, 0.987) or who reported having a limitation (AOR = 0.513, 95% CI = 0.384, 0.684) were less likely to report good mental health. These key characteristics can be utilized to predict mental health status, which may be investigated to better manage concurrent pain and poor mental health. MDPI 2021-02-05 /pmc/articles/PMC7914608/ /pubmed/33562841 http://dx.doi.org/10.3390/bs11020023 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Axon, David R. Chien, Jonathan Predictors of Mental Health Status among Older United States Adults with Pain |
title | Predictors of Mental Health Status among Older United States Adults with Pain |
title_full | Predictors of Mental Health Status among Older United States Adults with Pain |
title_fullStr | Predictors of Mental Health Status among Older United States Adults with Pain |
title_full_unstemmed | Predictors of Mental Health Status among Older United States Adults with Pain |
title_short | Predictors of Mental Health Status among Older United States Adults with Pain |
title_sort | predictors of mental health status among older united states adults with pain |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7914608/ https://www.ncbi.nlm.nih.gov/pubmed/33562841 http://dx.doi.org/10.3390/bs11020023 |
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